@import play.api.i18n.Messages @import play.api.mvc.RequestHeader @import org.webjars.play.WebJarsUtil @import controllers.AssetsFinder @import play.api.data._ @import forms.TotpSetupForm.Data @import com.mohiva.play.silhouette.impl.providers.GoogleTotpCredentials @import com.mohiva.play.silhouette.impl.providers.GoogleTotpInfo @(user: models.User, totpInfoOpt: Option[GoogleTotpInfo], totpDataOpt: Option[(Form[Data], GoogleTotpCredentials)] = None)(implicit request: RequestHeader, messages: Messages, webJarsUtil: WebJarsUtil, assets: AssetsFinder) @implicitFieldConstructor = @{ b4.vertical.fieldConstructor() } @main("HTWG Heroes") {
| Name | Release Date | Compatibility |
|---|---|---|
| Heroes:Might and Magic | 1995 | DOS, Windows 95, Mac OS |
| Heroes:Might and Magic Ⅱ | 1996 | DOS, Microsoft Windows 95, Mac OS, RISC OS, GBC |
| Heroes:Might and Magic Ⅲ | 1999 | Windows, Macintosh, Linux (PowerPC/x86), iOS, Android |
| Heroes:Might and Magic Ⅳ | 2002 | Microsoft Windows, Mac OS |
| Heroes:Might and Magic Ⅴ | 2006 | Microsoft Windows, OS X |
| Heroes:Might and Magic Ⅵ | 2011 | Microsoft Windows |
Heroes of Might and Magic takes place in a medieval fantasy world filled with creatures frequently associated with myth and legend. These creatures compose the military forces (troops) with which the player attempts to conquer opponents. The player leads generals through the game world at the head of armies of troops. These generals, called "heroes," provide a means to explore, attack, defeat, and acquire, the four basic principles in the game. The ultimate goal of the game is usually to capture all enemy castles and defeat all enemy heroes. However, the game comes with many different play scenarios, and some of these scenarios have unique victory conditions, such as accumulating a certain amount of gold, or finding a particular artifact.[citation needed] There are four different classes of heroes and castles, each with their own units and strengths/weaknesses. The two "might" classes, Knight and Barbarian, earn skill points in attack or defense more often than in spell power or knowledge. The two "magic" classes, Sorceress and Warlock, earn skill points in spell power or knowledge more often than in attack or defense. There is also a neutral, "wandering" class of troops, including Rogues, Nomads, Ghosts (the only one that can not be hired) and Genies.
Up until Heroes of Might and Magic V ® , the Heroes series took place in the same fictional universe as the Might and Magic series, and later Might and Magic installments heavily referenced the games, with some taking place in the same world. Heroes I and II take place on the planet of Enroth, on a northerly continent of the same name, and chronicle the adventures of the Ironfist dynasty. The protagonist of Heroes I is Lord Morglin Ironfist, a knight who discovers a portal to the realm of Enroth while fleeing from his throne's usurpers, and goes on to conquer and dominate the continent, establishing a unified kingdom and a new rule. Heroes II featured a two-sided conflict between Morglin's sons, Roland and Archibald, both vying for their deceased father's throne. Canonically, Roland defeats Archibald, though the player can choose to align themself with either side. It was the first game in the series to feature playable heroes as campaign characters—the main characters of Heroes I were represented by the player's presence rather than as commanders on the battlefield. The storylines of Heroes III and the Heroes Chronicles shift focus to the Gryphonheart dynasty on the southern continent of Antagarich, and introduces the Kreegan as playable characters and enemies. In Heroes III, Queen Catherine Gryphonheart, King Roland's wife, is called home to attend her father's funeral, to discover Antagarich being torn apart by various factions. Heroes III's expansions build on the setting with more prominent character development, featuring new and old heroes from the series in differing roles. The events preceding Heroes IV precipitated the destruction of Enroth due to a clash between Armageddon's Blade and the Sword of Frost. The ensuing destruction brings about portals leading to another world, Axeoth, through which many characters escape. Heroes IV's campaigns focus on the scattered survivors from Enroth and Antagarich as they form new kingdoms and alliances in the new world.
}


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Website
The challenge was to create a portfolio for my Web Authoring class, we had to build a site that represents me.


This section provides additional detail on the working of the CUDD package and on the programming conventions followed in its writing. The additional detail should help those who want to write procedures that directly manipulate the CUDD data structures.
If you plan to use the CUDD package as a clear box (for instance, you want to write a procedure that traverses a decision diagram) you need to add
#include "cuddInt.h"to your source files. In addition, you should link
libcudd.a
to
your executable. Some platforms require specific compiler and linker
flags. Refer to the Makefile in the top level directory of
the distribution.
Garbage collection in the CUDD package is based on reference counts. Each node stores the sum of the external references and internal references. An internal BDD or ADD node is created by a call to cuddUniqueInter, an internal ZDD node is created by a call to cuddUniqueInterZdd, and a terminal node is created by a call to cuddUniqueConst. If the node returned by these functions is new, its reference count is zero. The function that calls cuddUniqueInter, cuddUniqueInterZdd, or cuddUniqueConst is responsible for increasing the reference count of the node. This is accomplished by calling Cudd_Ref.
When a function is no longer needed by an application, the memory used by its diagram can be recycled by calling Cudd_RecursiveDeref (BDDs and ADDs) or Cudd_RecursiveDerefZdd (ZDDs). These functions decrease the reference count of the node passed to them. If the reference count becomes 0, then two things happen:
When the number of dead nodes reaches a given level (dynamically determined by the package) garbage collection takes place.
When a new node is created, it is important to increase its reference count before one of the two following events occurs:
The interface to the memory management functions (e.g., malloc) used by CUDD intercepts NULL return values and calls a handler. The default handler exits with an error message. If the application does not install another handler, therefore, a NULL return value from an exported function of CUDD signals an internal error.
If the aplication, however, installs another handler that lets execution continue, a NULL pointer returned by an exported function typically indicates that the process has run out of memory. Cudd_ReadErrorCode can be used to ascertain the nature of the problem.
An application that tests for the result being NULL can try some remedial action, if it runs out of memory. For instance, it may free some memory that is not strictly necessary, or try a slower algorithm that takes less space. As an example, CUDD overrides the default handler when trying to enlarge the cache or increase the number of slots of the unique table. If the allocation fails, the package prints out a message and continues without resizing the cache.
It is often the case that a recursive procedure has to protect the result it is going to return, while it disposes of intermediate results. (See the previous discussion on when to increase reference counts.) Once the intermediate results have been properly disposed of, the final result must be returned to its pristine state, in which the root node may have a reference count of 0. One cannot use Cudd_RecursiveDeref (or Cudd_RecursiveDerefZdd) for this purpose, because it may erroneously make some nodes dead. Therefore, the package provides a different function: Cudd_Deref. This function is not recursive, and does not change the dead node counts. Its use is almost exclusively the one just described: Decreasing the reference count of the root of the final result before returning from a recursive procedure.
When a copy of a predefined constant or of a simple BDD variable is needed for comparison purposes, then calling Cudd_Ref is not necessary, because these simple functions are guaranteed to have reference counts greater than 0 at all times. If no call to Cudd_Ref is made, then no attempt to free the diagram by calling Cudd_RecursiveDeref or Cudd_RecursiveDerefZdd should be made.
On 32-bit machines, the CUDD package stores the reference counts in unsigned short int's. For large diagrams, it is possible for some reference counts to exceed the capacity of an unsigned short int. Therefore, increments and decrements of reference counts are saturating. This means that once a reference count has reached the maximum possible value, it is no longer changed by calls to Cudd_Ref, Cudd_RecursiveDeref, Cudd_RecursiveDerefZdd, or Cudd_Deref. As a consequence, some nodes that have no references may not be declared dead. This may result in a small waste of memory, which is normally more than offset by the reduction in size of the node structure.
When using 64-bit pointers, there is normally no memory advantage from using short int's instead of int's in a DdNode. Therefore, increments and decrements are not saturating in that case. What option is in effect depends on two macros, SIZEOF_VOID_P and SIZEOF_INT, defined in the external header file (cudd.h). The increments and decrements of the reference counts are performed using two macros: cuddSatInc and cuddSatDec, whose definitions depend on SIZEOF_VOID_P and SIZEOF_INT.
If ADDs are restricted to use only the constants 0 and 1, they behave like BDDs without complement arcs. It is normally easier to write code that manipulates 0-1 ADDs, than to write code for BDDs. However, complementation is trivial with complement arcs, and is not trivial without. As a consequence, with complement arcs it is possible to check for more terminal cases and it is possible to apply De Morgan's laws to reduce problems that are essentially identical to a standard form. This in turn increases the utilization of the cache.
The complement attribute is stored in the least significant bit of the ``else'' pointer of each node. An external pointer to a function can also be complemented. The ``then'' pointer to a node, on the other hand, is always regular. It is a mistake to use a complement pointer as it is to address memory. Instead, it is always necessary to obtain a regular version of it. This is normally done by calling Cudd_Regular. It is also a mistake to call cuddUniqueInter with a complemented ``then'' child as argument. The calling procedure must apply De Morgan's laws by complementing both pointers passed to cuddUniqueInter and then taking the complement of the result.
Each entry of the cache consists of five fields: The operator, three pointers to operands and a pointer to the result. The operator and the three pointers to the operands are combined to form three words. The combination relies on two facts:
The cache does not contribute to the reference counts of the nodes. The fact that the cache contains a pointer to a node does not imply that the node is alive. Instead, when garbage collection takes place, all entries of the cache pointing to dead nodes are cleared.
The cache is also cleared (of all entries) when dynamic reordering takes place. In both cases, the entries removed from the cache are about to become invalid.
All operands and results in a cache entry must be pointers to DdNodes. If a function produces more than one result, or uses more than three arguments, there are currently two solutions:
There are three sets of interface functions to the cache. The first set is for functions with three operands: cuddCacheInsert and cuddCacheLookup. The second set is for functions with two operands: cuddCacheInsert2 and cuddCacheLookup2. The second set is for functions with one operand: cuddCacheInsert1 and cuddCacheLookup1. The second set is slightly faster than the first, and the third set is slightly faster than the second.
The size of the cache can increase during the execution of an application. (There is currently no way to decrease the size of the cache, though it would not be difficult to do it.) When a cache miss occurs, the package uses the following criteria to decide whether to resize the cache:
The rationale for the ``reward-based'' policy is as follows. In many BDD/ADD applications the hit rate is not very sensitive to the size of the cache: It is primarily a function of the problem instance at hand. If a large hit rate is observed, chances are that by using a large cache, the results of large problems (those that would take longer to solve) will survive in the cache without being overwritten long enough to cause a valuable cache hit. Notice that when a large problem is solved more than once, so are its recursively generated subproblems. If the hit rate is low, the probability of large problems being solved more than once is low.
The other observation about the cache sizing policy is that there is little point in keeping a cache which is much larger than the unique table. Every time the unique table ``fills up,'' garbage collection is invoked and the cache is cleared of all dead entries. A cache that is much larger than the unique table is therefore less than fully utilized.
Sometimes it may be necessary or convenient to use a local cache. A local cache can be lossless (no results are ever overwritten), or it may store objects for which canonical representations are not available. One important fact to keep in mind when using a local cache is that local caches are not cleared during garbage collection or before reordering. Therefore, it is necessary to increment the reference count of all nodes pointed by a local cache. (Unless their reference counts are guaranteed positive in some other way. One such way is by including all partial results in the global result.) Before disposing of the local cache, all elements stored in it must be passed to Cudd_RecursiveDeref. As consequence of the fact that all results in a local cache are referenced, it is generally convenient to store in the local cache also the result of trivial problems, which are not usually stored in the global cache. Otherwise, after a recursive call, it is difficult to tell whether the result is in the cache, and therefore referenced, or not in the cache, and therefore not referenced.
An alternative approach to referencing the results in the local caches is to install hook functions (see Section 3.16) to be executed before garbage collection.
A recursive procedure typically splits the operands by expanding with respect to the topmost variable. Topmost in this context refers to the variable that is closest to the roots in the current variable order. The nodes, on the other hand, hold the index, which is invariant with reordering. Therefore, when splitting, one must use the permutation array maintained by the package to get the right level. Access to the permutation array is provided by the macro cuddI for BDDs and ADDs, and by the macro cuddIZ for ZDDs.
The unique table consists of as many hash tables as there are variables in use. These has tables are called unique subtables. The sizes of the unique subtables are determined by two criteria:
Asynchronous reordering is the reordering that is triggered automatically by the increase of the number of nodes. Asynchronous reordering takes place when a new internal node must be created, and the number of nodes has reached a given threshold. (The threshold is adjusted by the package every time reordering takes place.)
Those procedures that do not create new nodes (e.g., procedures that count the number of nodes or minterms) need not worry about asynchronous reordering: No special precaution is necessary in writing them.
Procedures that only manipulate decision diagrams through the exported functions of the CUDD package also need not concern themselves with asynchronous reordering. (See Section 3.2.1 for the exceptions.)
The remaining class of procedures is composed of functions that visit the diagrams and may create new nodes. All such procedures in the CUDD package are written so that they can be interrupted by dynamic reordering. The general approach followed goes under the name of ``abort and retry.'' As the name implies, a computation that is interrupted by dynamic reordering is aborted and tried again.
A recursive procedure that can be interrupted by dynamic reordering (an interruptible procedure from now on) is composed of two functions. One is responsible for the real computation. The other is a simple wrapper, which tests whether reordering occurred and restarts the computation if it did.
Asynchronous reordering of BDDs and ADDs can only be triggered inside cuddUniqueInter, when a new node is about to be created. Likewise, asynchronous reordering of ZDDs can only be triggered inside cuddUniqueInterZdd. When reordering is triggered, three things happen:
The recursive procedure that receives a NULL value from cuddUniqueInter must free all intermediate results that it may have computed before, and return NULL in its turn.
The wrapper function does not decide whether reordering occurred based on the NULL return value, because the NULL value may be the result of lack of memory. Instead, it checks the reordered flag.
When a recursive procedure calls another recursive procedure that may cause reordering, it should bypass the wrapper and call the recursive procedure directly. Otherwise, the calling procedure will not know whether reordering occurred, and will not be able to restart. This is the main reason why most recursive procedures are internal, rather than static. (The wrappers, on the other hand, are mostly exported.)
By defining the symbol DD_DEBUG during compilation, numerous checks are added to the code. In addition, the procedures Cudd_DebugCheck, Cudd_CheckKeys, and cuddHeapProfile can be called at any point to verify the consistency of the data structure. (cuddHeapProfile is an internal procedure. It is declared in cuddInt.h.) Procedures Cudd_DebugCheck and Cudd_CheckKeys are especially useful when CUDD reports that during garbage collection the number of nodes actually deleted from the unique table is different from the count of dead nodes kept by the manager. The error causing the discrepancy may have occurred much earlier than it is discovered. A few strategicaly placed calls to the debugging procedures can considerably narrow down the search for the source of the problem. (For instance, a call to Cudd_RecursiveDeref where one to Cudd_Deref was required may be identified in this way.)
One of the most common problems encountered in debugging code based on the CUDD package is a missing call to Cudd_RecursiveDeref. To help identify this type of problems, the package provides a function called Cudd_CheckZeroRef. This function should be called immediately before shutting down the manager. Cudd_CheckZeroRef checks that the only nodes left with non-zero reference counts are the predefined constants, the BDD projection functions, and nodes whose reference counts are saturated.
For this function to be effective the application must explicitly dispose of all diagrams to which it has pointers before calling it.
Function Cudd_PrintInfo can be called to print out the values of parameters and statistics for a manager. The output of Cudd_PrintInfo is divided in two sections. The first reports the values of parameters that are under the application control. The second reports the values of statistical counters and other non-modifiable parameters. A quick guide to the interpretation of all these quantities follows. For ease of exposition, we reverse the order and describe the non-modifiable parameters first. We'll use a sample run as example. There is nothing special about this run.
The list of non-modifiable parameters starts with:
**** CUDD non-modifiable parameters **** Memory in use: 32544220This is the memory used by CUDD for three things mainly: Unique table (including all DD nodes in use), node free list, and computed table. This number almost never decreases in the lifetime of a CUDD manager, because CUDD does not release memory when it frees nodes. Rather, it puts the nodes on its own free list. This number is in bytes. It does not represent the peak memory occupation, because it does not include the size of data structures created temporarily by some functions (e.g., local look-up tables).
Peak number of nodes: 837018This number is the number of nodes that the manager has allocated. This is not the largest size of the BDDs, because the manager will normally have some dead nodes and some nodes on the free list.
Peak number of live nodes: 836894This is the largest number of live nodes that the manager has held since its creation.
Number of BDD variables: 198 Number of ZDD variables: 0These numbers tell us this run was not using ZDDs.
Number of cache entries: 1048576Current number of slots of the computed table. If one has a performance problem, this is one of the numbers to look at. The cache size is always a power of 2.
Number of cache look-ups: 2996536 Number of cache hits: 1187087These numbers give an indication of the hit rate in the computed table. It is not unlikely for model checking runs to get hit rates even higher than this one (39.62%).
Number of cache insertions: 1809473 Number of cache collisions: 961208 Number of cache deletions: 0A collision occurs when a cache entry is overwritten. A deletion occurs when a cache entry is invalidated (e.g., during garbage collection). If the number of deletions is high compared to the number of collisions, it means that garbage collection occurs too often. In this case there were no garbage collections; hence, no deletions.
Cache used slots = 80.90% (expected 82.19%)Percentage of cache slots that contain a valid entry. If this number is small, it may signal one of three conditions:
Soft limit for cache size: 1318912This number says how large the cache can grow. This limit is based on the size of the unique table. CUDD uses a reward-based policy for growing the cache. (See Section 4.4.1.) The default hit rate for resizing is 30% and the value in effect is reported among the modifiable parameters.
Number of buckets in unique table: 329728This number is exactly one quarter of the one above. This is indeed how the soft limit is determined currently, unless the computed table hits the specified hard limit. (See below.)
Used buckets in unique table: 87.96% (expected 87.93%)Percentage of unique table buckets that contain at least one node. Remarks analogous to those made about the used cache slots apply.
Number of BDD and ADD nodes: 836894 Number of ZDD nodes: 0How many nodes are currently in the unique table, either alive or dead.
Number of dead BDD and ADD nodes: 0 Number of dead ZDD nodes: 0Subtract these numbers from those above to get the number of live nodes. In this case there are no dead nodes because the application uses delayed dereferencing Cudd_DelayedDerefBdd.
Total number of nodes allocated: 836894This is the total number of nodes that were requested and obtained from the free list. It never decreases, and is not an indication of memory occupation after the first garbage collection. Rather, it is a measure of the package activity.
Total number of nodes reclaimed: 0These are the nodes that were resuscitated from the dead. If they are many more than the allocated nodes, and the total number of slots is low relative to the number of nodes, then one may want to increase the limit for fast unique table growth. In this case, the number is 0 because of delayed dereferencing.
Garbage collections so far: 0 Time for garbage collections: 0.00 sec Reorderings so far: 0 Time for reordering: 0.00 secThere is a GC for each reordering. Hence the first count will always be at least as large as the second.
Node swaps in reordering: 0This is the number of elementary reordering steps. Each step consists of the re-expression of one node while swapping two adjacent variables. This number is a good measure of the amount of work done in reordering.
Let us now consider the modifiable parameters, that is, those settings on which the application or the user has control.
**** CUDD modifiable parameters **** Hard limit for cache size: 8388608This number counts entries. Each entry is 16 bytes if CUDD is compiled to use 32-bit pointers. Two important observations are in order:
Cache hit threshold for resizing: 15%This number can be changed if one suspects performance is hindered by the small size of the cache, and the cache is not growing towards the soft limit sufficiently fast. In such a case one can change the default 30% to 15% (as in this case) or even 1%.
Garbage collection enabled: yesOne can disable it, but there are few good reasons for doing so. It is normally preferable to raise the limit for fast unique table growth. (See below.)
Limit for fast unique table growth: 1363148See Section 4.5 and the comments above about reclaimed nodes and hard limit for the cache size. This value was chosen automatically by CUDD for a datasize limit of 1 GB.
Maximum number of variables sifted per reordering: 1000 Maximum number of variable swaps per reordering: 2000000 Maximum growth while sifting a variable: 1.2Lowering these numbers will cause reordering to be less accurate and faster. Results are somewhat unpredictable, because larger BDDs after one reordering do not necessarily mean the process will go faster or slower.
Dynamic reordering of BDDs enabled: yes Default BDD reordering method: 4 Dynamic reordering of ZDDs enabled: no Default ZDD reordering method: 4These lines tell whether automatic reordering can take place and what method would be used. The mapping from numbers to methods is in cudd.h. One may want to try different BDD reordering methods. If variable groups are used, however, one should not expect to see big differences, because CUDD uses the reported method only to reorder each leaf variable group (typically corresponding present and next state variables). For the relative order of the groups, it always uses the same algorithm, which is effectively sifting.
As for enabling dynamic reordering or not, a sensible recommendation is the following: Unless the circuit is rather small or one has a pretty good idea of what the order should be, reordering should be enabled.
Realignment of ZDDs to BDDs enabled: no Realignment of BDDs to ZDDs enabled: no Dead nodes counted in triggering reordering: no Group checking criterion: 7 Recombination threshold: 0 Symmetry violation threshold: 0 Arc violation threshold: 0 GA population size: 0 Number of crossovers for GA: 0Parameters for reordering. See the documentation of the functions used to control these parameters for the details.
Next reordering threshold: 100000When the number of nodes crosses this threshold, reordering will be triggered. (If enabled; in this case it is not.) This parameter is updated by the package whenever reordering takes place. The application can change it, for instance at start-up. Another possibility is to use a hook function (see Section 3.16) to override the default updating policy.
The following symbols can be defined during compilation to increase the amount of statistics gathered and the number of messages produced by the package:
Defining DD_CACHE_PROFILE causes each entry of the cache to include an access counter, which is used to compute simple statistics on the distribution of the keys.
The documentation of the CUDD functions is extracted automatically from the sources by Stephen Edwards's extdoc. (The Ext system is available via anonymous FTP from ic.eecs.berkeley.edu.) The following guidelines are followed in CUDD to insure consistent and effective use of automatic extraction. It is recommended that extensions to CUDD follow the same documentation guidelines.


Dreamfactory provides sample apps to help you get started. Click one of the sample apps below and select your storage service. Click 'Import' to install the sample app. These and other sample apps can be found at github/dreamfactorysoftware.


If you dream of designing an elevator that takes full advantage of it
The Global Elevators & Escalators Market report provides information by Key Players, Geography, End users, Applications, Competitor analysis, Sales, Revenue, Price, Gross Margin, Market Share, Import-Export, Trends and Forecast.
The Centers for Disease Control and Prevention (CDC) recently shared a research letter, previewing an article to be published in the September 2020 edition of its Emerging Infectious Diseases (EID) Journal, describing how a single, asymptomatic carrier of COVID-19 generated
(TOKYO:6503) announced today that MELCO Elevator Lao Sole Co., Ltd. (MLAO), a subsidiary of Mitsubishi Elevator (Thailand) Co., Ltd. (MET), has secured an order to supply 14 elevators and 4 escalators for safe, comfortable and reliable vertical transportation in the new National Assembly building in Laos, which is currently under construction.
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L'installation de la nouvelle technologie sur nos ascenseurs à l'aéroport international d'Abu Dhabi est un développement important pour assurer la sécurité de tous nos invités et voyageurs», a déclaré Shareef Hashim Al Hashmi, PDG d'Abu Dhabi Airports
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Address: CodeBoxx Montréal, 4468 rue Wellington Suite 204, Verdun, Québec H4G 1W5 Phone:<PHONE_NUMBER> Email: info@codeboxx.biz


xcompmgr(1) xcompmgr(1) NAME xcompmgr - sample X compositing manager SYNOPSIS xcompmgr [-d display] [-r radius] [-o opacity] [-l left-offset] [-t top-offset] [-acCfFnsS] DESCRIPTION xcompmgr is a sample compositing manager for X servers supporting the XFIXES, DAMAGE, and COMPOSITE extensions. It enables basic eye-candy effects. OPTIONS -d display Specifies the display to manage. -r radius Specifies the blur radius for client-side shadows. -o opacity Specifies the opacity for client-side shadows. -l left-offset Specifies the left offset for client-side shadows. -t top-offset Specifies the top offset for client-side shadows. -I fade-in-step Specifies the opacity change between steps while fading in. -O fade-out-step Specifies the opacity change between steps while fading out. -D fade-delta Specifies the time (in milliseconds) between steps in a fade. -a Automatic server-side compositing. This instructs the server to use the standard composition rules. Useful for debugging. -c Client-side compositing with soft shadows and translucency sup‐ port. -f When -c is specified, enables a smooth fade effect for transient windows like menus, and for all windows on hide and restore events. -n Simple client-side compositing. -s Server-side compositing with hard-edged shadows. -C When -c is specified, attempts to avoid painting shadows on panels and docks. -F When -f is specified, also enables the fade effect when windows change their opacity, as with transset(1). -S Enables synchronous operation. Useful for debugging. BUGS Probably. Please report any you find to http://bugs.freedesktop.org/. AUTHORS Keith Packard, with contributions from Matthew Allum, Eric Anholt, Dan Doel, Thomas Luebking, Matthew Hawn, Ely Levy, Phil Blundell, and Carl Worth. xcompmgr(1)


About Me
Since starting my journey as a student for almost 4 years, I have studied both on and off campus and collaborated with talented people to create small startup teams. I am secretly confident, naturally curious, and constantly learning to fix problems in the field I am studying
| Nama | : | Aji Wahyugi |
|---|---|---|
| Phone | : | +62 896-4392-9650 |
| : |<EMAIL_ADDRESS>|


Dabble with JavaScript syntax.
// define an "is" operator infixl 8 (is) = function (a, b) { return a === b; }; assert.ok("everything" is "everything");
$ npm install dabble
Or clone from git and run npm install
and then make
.
Translate dabble scripts:
$ dabble example/es-next-operators.dabble
Dabblescript lets you define new operators or overwrite existing ones, expressing them as functions. The operators can be infix, postfix, prefix, and they can update a reference or simply return a value. Operators can also be lazy
, to support short-circuiting. Lazy operators will have their arguments wrapped in thunks, which can evaluated in the operator definition. Precedence determines the order of operations (detailed below), and can be a number from 1 - 16 or a symbol of a builtin operator (to copy that operators precedence).
Dabblescript modifies the lexer during compile time to recognize new operators and replaces uses of them with a call to the function you define for them. Operators are lexically scoped, but without hoisting.
[lazy]
<precedence>
(<op>
) = <expr>
;This creates an infix, left-associative operator. Most JavaScript operators are left-associative. Example:
// strongly-typed addition operator infixl 9 (+) = function (a, b) { if (typeof a !== 'number' || typeof b !== 'number') { throw new Error("TypeError: operands of + must be numbers"); } return a + b; };
[lazy]
<precedence>
(<op>
) = <expr>
;This creates an infix, right-associative operator. Example:
// cons operator infixr 9 (::) = function (a, b) { return [a, b]; };
[lazy]
(<op>
) = <expr>
;This creates a prefix operator (e.g. !
or void
). Example:
prefix (@) = function (a) { return Date.parse(a); };
[lazy]
(<op>
) = <expr>
;This creates a postfix operator (e.g. ++
or --
). Example:
postfix (?) = function (a) { return !!a; };
[infixr|prefix|postfix]
(<op>
) = <expr>
;This creates an assignment operator with a fixity that is either infixr
, prefix
, or postfix
. If you omit the fixity it will default to infixr
. Prefix and postfix assignment operators are neat because they allow you to create operators such as pre-increment or pre-decrement.
Assign operators roughly translate as lhs op val -> lhs = op(lhs, val)
.
Examples:
// lazy infixr assignment assign lazy (??=) = function (a, b) { var val = a(); return val !== undefined ? val : b(); }; // prefix assignment assign prefix (+++) = function (a) { return a + 2; };
Precedence can be declared for infix operators, though pre/postfix and assignment operators have a designated precedence. From lowest to highest precedence:
,
||
&&
|
^
&
==
, !=
, ===
, !==
<
, <=
, >
, >=
>>
, >>>
, <<
+
, -
*
, %
, /
.
Operators adhere roughly to lexical scope -- they take affect from the point after they are declared to the point the script or function they were declared in ends. For an example of lexical scoping:
(function () { assert.equal(1 + 2, 3); infixl 9 (+) = function (a, b) { return a * b; }; assert.equal(1 + 2, 2); })(); assert.equal(1 + 2, 3);
The user defined +
operator only affects the code in the function it was declared in, after it is declared.
You can delete operators using the deleteop
statement, e.g. deleteop myop;
. Any further occurances of the operators symbol after that point will be interpreted as if the operator had not been deblared. It will delete the operator in the most recent scoped if operators are being shadowed.
You can gain a reference to an operator by using the (op)
expression. This syntax is inspired by sections in Haskell, but without partial application support. Example:
infixl * (^) = function (a, b) { return Math.pow(a, b); }; var pow = (^); assert.equal(pow(2, 10), 1024);
)
by escaping it with \)
.


The Man The Myth The?
Name:
E-mail:
Message:
Day of the week that works best for you
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Submit Here
Clear Here


Testing can only show the presence, not the absence of bugs.
Edsger W. Dijkstra
Property based testing
with Cycle.js
Jan van Brügge
We cannot test everything
What can we do about that?
More tests!
How can we save us from even more work?
Do not write unit tests!
Generate them
What is property based testing?
- The set of possible inputs is too big (most likely \(\infty\))
- Manual unit tests pick a few, fixed values out of that set
- Why not pick all?
Write proberties in the form \(\forall a \in S: prop(a) = true\)
JSVerify
Write powerful and concise tests.
What do we need to generate unit tests?
We have to examine or code,
exploit mathematical properties we find
and check if the property holds true for every possible input.
Let's take a look, shall we?
Demo
What did we just see?
- An arbitrary to generate random values
- A property: \(\forall a,b \in \mathbb Z : add(a, b) = a + b\)
- An assertion that the property should hold true
Any problem with this property?
add.ts
function add(a : number, b : number) {
return a + b;
}
add.test.ts
const property = forall(integer, integer, (a, b) => {
return add(a, b) === a + b;
}
We just reimplemented the function!
Other properties we could use
- Identity: \(\forall a \in \mathbb Z : a + 0 = a\)
- Commutative: \(\forall a,b \in \mathbb Z : a + b = b + a\)
- Associative: \(\forall a,b,c \in \mathbb Z : (a + b) + c = a + (b + c)\)
- Negation: \(\forall a \in \mathbb Z : a + (-a) = 0\)
Translated into code:
Demo
Short recap
- Do not reimplement the function you are testing in your property
- It is fine to use multiple properties and combine them
Moving to Cycle.js
Let's test a counter app
Demo
Short recap
- Use diagramArbitrary to generate random sequences of events
- Mock your DOM with them
- Use html-looks-like to test the resulting DOM
Writing own arbitraries
Let's take a look at the diagramArbitrary
Demo
Testing more complex apps
adcs_plot
Ideas?
Possible properties
- Higher value in the data → higher value in the graph
- Relative vectical space between points has to be the same as the data
Implementation left as exercise for the viewer :)


CSSI Profiles
Profiles of students in the CSSI Program.
{% for student in students %}
{{ student.full_name }}
{% endfor %}


Air pollution levels show off the chart reading in Motherwell following Bonfire Night
The area showed an "unhealthy" level.
by Shirley Bartynek, https://www.dailyrecord.co.uk/authors/shirley-bartynek/Pollution levels in Motherwell were off the chart following Bonfire Night.
According to readings from the real-time Air Quality Index, Motherwell, North Lanarkshire, recorded a reading on Wednesday, November 6, of 155 which is marked as “unhealthy”.
The area showed the highest levels in Lanarkshire and compared with Hamilton which showed a reading of 68.
On November 5, thousands of families packed into Strathclyde Park, Motherwell, to watch North and South Lanarkshire’s annual fireworks display.
This year’s event was themed with the 50th anniversary of the Apollo 11 moon landing.
Various road closures were in place to allow for traffic and pedestrians to access the area.
Air pollution readings can be found at http://aqicn.org/


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Welcome to our seventh note in our Python learning process. This note will talk specifically about files, directories, and exceptions.
Opening a file creates a file object. Syntax is like that:
>>> f = open(“test.dat”,“w”)
>>> print f
<open file ’test.dat’, mode ‘w’ at fe820>
The first parameter to open is the file name, the second parameter is the mode. Modes are: w for write, r for read.
To write data in the file we invoke the write method on the file object:
>>> f.write(“Now is the time”)
>>> f.write(“to close the file”)
After we done we can close the file like that:
>>> f.close()
The read method reads data from the file. With no arguments, it reads the entire contents of the file:
>>> text = f.read()
>>> print text
Now is the time to close the file
read can also take an argument that indicates how many characters to read.
If not enough characters are left in the file, read returns the remaining characters. When we get to the end of the file, read returns the empty string:
>>> print f.read(5)
Now i
>>> print f.read(1000006)
s the timeto close the file
>>> print f.read()
>>>
The write method write data to the file. It takes strings only.
>>> x = 52
>>> f.write (str(x))
When you create a new file by opening it and writing, the new file goes in the current directory (wherever you were when you ran the program). Similarly, when you open a file for reading, Python looks for it in the current directory. If you want to open a file somewhere else, you have to specify the path to the file, which is the name of the directory (or folder) where the file is located:
>>> f = open("/usr/share/dict/words",“r”)
>>> print f.readline()
Whatever exist
Returns filenames in a directory that match a pattern.
import glob
a = glob.glob("*.html")
b = glob.glob(“image[0-5]*.gif”)
Pattern matching is performed using rules of Unix shell. Tilde (~) and variable expansion is not performed.
Matches filenames according to rules of Unix shell.
import fnmatch
if fnmatch(filename,"*.html"):
…
Case-sensitivity depends on the operating system.
import fcntl, FCNTL
fcntl.flock(f.fileno(),FCNTL.LOCK_EX) # Lock a file
import gzip
f = gzip.open(“foo”,“wb”)
f.write(data)
Whenever a runtime error occurs, it creates an exception. Usually, the program stops and Python prints an error message.
>>> print 55/0
ZeroDivisionError: integer division or modulo
We can handle the exception using the try and except statements.
filename = raw_input(‘Enter a file name: ‘)
try:
f = open (filename, “r”)
except:
print ‘There is no file named’, filename
The try statement executes the statements in the first block. If no exceptions occur, it ignores the except statement. If any exception occurs, it executes the statements in the except branch and then continues.
If your program detects an error condition, you can make it raise an exception.
def inputNumber () :
x = input (‘Pick a number: ‘)
if x == 17 :
raise ‘BadNumberError’, ‘17 is a bad number’
return x
The raise statement takes two arguments: the exception type and specific
information about the error. And here how the previous example appears:
>>> inputNumber ()
Pick a number: 17
BadNumberError: 17 is a bad number
This note talked about files, directories, and exceptions. The next note will go into the object oriented features of Python.


public interface HelpMap
addTopic()
HelpTopicFactory
objects to create topics
| Modifier and Type | Method and Description |
|---|---|
void |
addTopic(@NotNull HelpTopic topic)
Adds a topic to the server's help index.
|
void |
clear()
Clears out the contents of the help index.
|
@Nullable HelpTopic |
getHelpTopic(@NotNull String topicName)
Returns a help topic for a given topic name.
|
@NotNull Collection<HelpTopic> |
getHelpTopics()
Returns a collection of all the registered help topics.
|
@NotNull List<String> |
getIgnoredPlugins()
Gets the list of plugins the server administrator has chosen to exclude
from the help index.
|
void |
registerHelpTopicFactory(@NotNull Class<?> commandClass,
@NotNull HelpTopicFactory<?> factory)
Associates a
HelpTopicFactory object with given command base
class. |
@Nullable @Nullable HelpTopic getHelpTopic(@NotNull @NotNull String topicName)
topicName
- The help topic name to look up.HelpTopic
object matching the topic name or null if
none can be found.@NotNull @NotNull Collection<HelpTopic> getHelpTopics()
void addTopic(@NotNull @NotNull HelpTopic topic)
topic
- The new help topic to add.void clear()
void registerHelpTopicFactory(@NotNull @NotNull Class<?> commandClass, @NotNull @NotNull HelpTopicFactory<?> factory)
HelpTopicFactory
object with given command base
class. Plugins typically call this method during onLoad()
. Once
registered, the custom HelpTopicFactory will be used to create a custom
HelpTopic
for all commands deriving from the commandClass
base class, or all commands deriving from PluginCommand
who's executor derives from commandClass
base class.commandClass
- The class for which the custom HelpTopicFactory
applies. Must derive from either Command
or CommandExecutor
.factory
- The HelpTopicFactory
implementation to associate
with the commandClass
.IllegalArgumentException
- Thrown if commandClass
does
not derive from a legal base class.@NotNull @NotNull List<String> getIgnoredPlugins()
Command
instead of PluginCommand
will need to check this collection in
their HelpTopicFactory
implementations to ensure they meet the
server administrator's expectations.Copyright © 2021. All rights reserved.


Jikan (時間) is an open-source PHP & REST API for the “most active online anime + manga community and database” — MyAnimeList.net. It parses the website to satisfy the need for an API.
You can focus on making your app while we keep the requests rolling.
TRITON is a media pipeline that aims to go one step further than services like Jellyfin and Plex provide. Media is fetched from a magnitude of supported protocols (HTTP, S3-compatible, Usenet, etc), converted into multiple different quality levels, and then uploaded to a S3-compatible storage provider in an organized fashion. This enables cheap storage and ensures that buffering is never a problem. On top of all of this, a frontend allows users to watch your media on the go.
With nearly limitless quota on requests, you have the freedom to create without the need of writing your own parsers. Save yourself some Jikan.
Jikan caters to over 30 million requests weekly. And this includes the use of the most popular Anime/Manga apps around!
By the community, for the community.
Thanks to avid contributors, the Jikan REST API has a multitude of wrappers available so you can easily use it with the language of your choice.
Help contribute by writing or maintaining a wrapper in your favorite programming language.
Made a wrapper? Edit this page!
⚡ Does Jikan power your apps?
Let us know! We'd love to have it on our showcase. ❤
Jikan's REST API service is able to maintain high loads of traffic thanks to our Patrons! ❤
Every cent goes towards operating expenses for Jikan and upcoming sibling projects.
Jared Allard (jaredallard) ● hugonin
Aaron Treinish ● Abdelhafid Achtaou ● Aika Fujiwara ● Bobby Williams ● Cesar Irad Mendoza ● CrafterSama ● Fro116 ● Jason Weatherly ● Jesse ● Kundan Chintamaneni ● Kururin ● Purplepinapples ● Ryo Ando ● Sakamotodesu ● TeraNovaLP ●
Jikan's development is powered by JetBrain's Open Source License


Click on the following button to change the location of this web page using the location.href property:-


{% extends "dashboard.html" %} {# Copyright (c) 2015-present, Philippine-California Advanced Research Institutes- The Village Base Station Project (PCARI-VBTS). All rights reserved. This source code is licensed under the BSD-style license found in the LICENSE file in the root directory of this source tree. #} {% load crispy_forms_tags %} {% load staticfiles i18n %} {% load apptags %} {% block dashboard-header %} {% endblock %} {% block dashboard-content %}
Are you sure you want to install this plugin?
| Name | {{ script.name }} |
| Version | {{ script.version }} |
| Author | {{ script.author }} |
| Description | {{ script.description }} |
| Package | {{ script.package }} |


--- layout: snippet title: "Badge" permalink: /examples/elements/badge/ sitemap: false --- Primary Secondary Success Info Warning Danger Info Light Dark


| %line | %branch | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| org.apache.commons.jexl.junit.Asserter |
|
|
| 1 | /* |
|
| 2 | * Copyright 2003-2006 The Apache Software Foundation. |
|
| 3 | * |
|
| 4 | * Licensed under the Apache License, Version 2.0 (the "License"); |
|
| 5 | * you may not use this file except in compliance with the License. |
|
| 6 | * You may obtain a copy of the License at |
|
| 7 | * |
|
| 8 | * http://www.apache.org/licenses/LICENSE-2.0 |
|
| 9 | * |
|
| 10 | * Unless required by applicable law or agreed to in writing, software |
|
| 11 | * distributed under the License is distributed on an "AS IS" BASIS, |
|
| 12 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
|
| 13 | * See the License for the specific language governing permissions and |
|
| 14 | * limitations under the License. |
|
| 15 | */ |
|
| 16 | ||
| 17 | package org.apache.commons.jexl.junit; |
|
| 18 | ||
| 19 | import java.util.HashMap; |
|
| 20 | import java.util.Map; |
|
| 21 | ||
| 22 | import junit.framework.Assert; |
|
| 23 | ||
| 24 | import org.apache.commons.jexl.Expression; |
|
| 25 | import org.apache.commons.jexl.ExpressionFactory; |
|
| 26 | import org.apache.commons.jexl.JexlContext; |
|
| 27 | import org.apache.commons.jexl.JexlHelper; |
|
| 28 | ||
| 29 | /** |
|
| 30 | * A utility class for performing JUnit based assertions using Jexl |
|
| 31 | * expressions. This class can make it easier to do unit tests using |
|
| 32 | * Jexl navigation expressions. |
|
| 33 | * |
|
| 34 | * @since 1.0 |
|
| 35 | * @author <a<EMAIL_ADDRESS>Strachan</a> |
|
| 36 | * @version $Revision: 398153 $ |
|
| 37 | */ |
|
| 38 | public class Asserter extends Assert { |
|
| 39 | ||
| 40 | /** variables used during asserts. */ |
|
| 41 | 2 | private final Map variables = new HashMap(); |
| 42 | /** context to use during asserts. */ |
|
| 43 | 2 | private final JexlContext context = JexlHelper.createContext(); |
| 44 | ||
| 45 | /** |
|
| 46 | * |
|
| 47 | * Create an asserter. |
|
| 48 | */ |
|
| 49 | 1 | public Asserter() { |
| 50 | ||
| 51 | 1 | } |
| 52 | ||
| 53 | /** |
|
| 54 | * This constructor will register the given variableValue as the |
|
| 55 | * "this" variable. |
|
| 56 | * |
|
| 57 | * @param variableValue 'this'. |
|
| 58 | */ |
|
| 59 | 1 | public Asserter(Object variableValue) { |
| 60 | 1 | setVariable("this", variableValue); |
| 61 | 1 | } |
| 62 | ||
| 63 | /** |
|
| 64 | * Performs an assertion that the value of the given Jexl expression |
|
| 65 | * evaluates to the given expected value. |
|
| 66 | * |
|
| 67 | * @param expression is the Jexl expression to evaluate |
|
| 68 | * @param expected is the expected value of the expression |
|
| 69 | * @throws Exception if the expression could not be evaluationed or an assertion |
|
| 70 | * fails |
|
| 71 | */ |
|
| 72 | public void assertExpression(String expression, Object expected) throws Exception { |
|
| 73 | 7 | Expression exp = ExpressionFactory.createExpression(expression); |
| 74 | ||
| 75 | 7 | context.setVars(variables); |
| 76 | 7 | Object value = exp.evaluate(context); |
| 77 | ||
| 78 | 7 | assertEquals("expression: " + expression, expected, value); |
| 79 | 5 | } |
| 80 | ||
| 81 | /** |
|
| 82 | * Puts a variable of a certain name in the context so that it can be used from |
|
| 83 | * assertion expressions. |
|
| 84 | * |
|
| 85 | * @param name variable name |
|
| 86 | * @param value variable value |
|
| 87 | */ |
|
| 88 | public void setVariable(String name, Object value) { |
|
| 89 | 3 | variables.put(name, value); |
| 90 | 3 | } |
| 91 | ||
| 92 | } |
| This report is generated by jcoverage, Maven and Maven JCoverage Plugin. |


TinyOS is an event-driven operating system designed for sensor network nodes that have very limited resources (e.g., 8K bytes of program memory, 512 bytes of RAM). TinyOS, is used, for example, on the Berkeley MICA motes, which are small wireless sensor nodes. nesC is an extension to the C programming language designed to embody the structuring concepts and execution model of TinyOS.
ncapp2moml is used to convert nesC application files (.nc configuration files with no interfaces) into MoML (.moml) files. This will create Ptolemy II models that you can run in Viptos. You must setup the necessary MoML library of nesC components with the nc2moml tool before you can successfully open files made with this ncapp2moml tool.
Note: You must follow the instructions here for running the nc2moml tool before you can use models generated with this ncapp2moml tool.
cd $PTII/ptolemy/domains/ptinyos/util/ncapp2moml ./ncapp2momlThe
ncapp2moml
command will take a few minutes to complete.
Note: The ncapp2moml tool requires that you build the tools in $PTII/bin
. Do the following and rerun the script above if they are missing:
cd $PTII/bin make
$PTII/vendors/ptinyos/momlapp
$PTII/bin/vergil -viptos
$PTII/vendors/ptinyos/momlapp/apps/CntToLeds/CntToLeds.moml
or
$PTII/vendors/ptinyos/momlapp/apps/CntToLeds/CntToLeds-InWireless.moml
(only one of these will have been generated, depending
on what options were used in running ncapp2moml).
If you opened CntToLeds-InWireless.moml, you have to first right-click on the MicaBoard and select Look Inside, then right-click on the MicaCompositeActor and select Look Inside. Then, you can run the automatic graph layout by selecting Graph -> Automatic Layout form the menu, or by typing Ctrl-T.


VRT – Virtual Format¶
Driver short name
VRT
Driver built-in by default
This driver is built-in by default
OGR Virtual Format is a driver that transforms features read from other drivers based on criteria specified in an XML control file. It is primarily used to derive spatial layers from flat tables with spatial information in attribute columns. It can also be used to associate coordinate system information with a datasource, merge layers from different datasources into a single data source, or even just to provide an anchor file for access to non-file oriented datasources.
The virtual files are currently normally prepared by hand.
Driver capabilities¶
Supports Create()
This driver supports the GDALDriver::Create()
operation
Supports Georeferencing
This driver supports georeferencing
Supports VirtualIO
This driver supports virtual I/O operations (/vsimem/, etc.)
Creation Issues¶
The CreateFeature(), SetFeature() and DeleteFeature() operations are supported on a layer of a VRT dataset, if the following conditions are met :
the VRT dataset is opened in update mode
the underlying source layer supports those operations
the SrcLayer element is used (as opposed to the SrcSQL element)
the FID of the VRT features is the same as the FID of the source features, that is to say, the FID element is not specified
Virtual File Format¶
The root element of the XML control file is OGRVRTDataSource. It has an OGRVRTLayer (or OGRVRTWarpedLayer or OGRVRTUnionLayer starting with GDAL 1.10.0) child for each layer in the virtual datasource, and a Metadata element.
A XML schema of the OGR VRT format is available. Starting with GDAL 1.11, when GDAL is configured with libXML2 support, that schema will be used to validate the VRT documents. Non-conformities will be reported only as warnings. That validation can be disabled by setting the GDAL_XML_VALIDATION configuration option to NO.
Metadata (optional): (GDAL >= 2.0) This element contains a list of metadata name/value pairs associated with the dataset as a whole. It has <MDI> (metadata item) subelements which have a “key” attribute and the value as the data of the element. The Metadata element can be repeated multiple times, in which case it must be accompanied with a “domain” attribute to indicate the name of the metadata domain.
A OGRVRTLayer element should have a name attribute with the layer name, and may have the following subelements:
SrcDataSource (mandatory): The value is the name of the datasource that this layer will be derived from. The element may optionally have a relativeToVRT attribute which defaults to “0”, but if “1” indicates that the source datasource should be interpreted as relative to the virtual file. This can be any OGR supported dataset, including ODBC, CSV, etc. The element may also have a shared attribute to control whether the datasource should be opened in shared mode. Defaults to OFF for SrcLayer use and ON for SrcSQL use.
OpenOptions (optional): (GDAL >= 2.0) This element may list a number of open options as child elements of the form <OOI key=”key_name”>value_name</OOI>
Metadata (optional): (GDAL >= 2.0) This element contains a list of metadata name/value pairs associated with the layer as a whole. It has <MDI> (metadata item) subelements which have a “key” attribute and the value as the data of the element. The Metadata element can be repeated multiple times, in which case it must be accompanied with a “domain” attribute to indicate the name of the metadata domain.
SrcLayer (optional): The value is the name of the layer on the source data source from which this virtual layer should be derived. If this element isn’t provided, then the SrcSQL element must be provided.
SrcSQL (optional): An SQL statement to execute to generate the desired layer result. This should be provided instead of the SrcLayer for statement derived results. Some limitations may apply for SQL derived layers. Starting with OGR 1.10, an optional dialect attribute can be specified on the SrcSQL element to specify which SQL “dialect” should be used : possible values are currently OGR SQL or SQLITE. If dialect is not specified, the default dialect of the datasource will be used.
Logic for GDAL >= 2.4: Different situations are possible:
<FID>source_field_name</FID>
A FID column will be reported as source_field_name with the content of source field source_field_name.
<FID name="dest_field_name">source_field_name</FID>
A FID column will be reported as dest_field_name with the content of source field source_field_name. dest_field_name can potentially be set to the empty string.
<FID />
No FID column is reported. The FID value of VRT features is the FID value of the source features.
<FID name="dest_field_name"/>
A FID column will be reported as dest_field_name with the content of the implicit source FID column. The FID value of VRT features is the FID value of the source features.
Logic for GDAL < 2.4: The layer will report the FID column name only if it is also reported as a regular field. Starting with GDAL 2.0, a “name” attribute can be specified on the FID element so that the FID column name is always reported.
Style (optional): Name of the attribute column from which the style of features should be derived. If not provided, the style of the source features will be used directly.
GeometryType (optional): The geometry type to be assigned to the layer. If not provided it will be taken from the source layer. The value should be one of “wkbNone”, “wkbUnknown”, “wkbPoint”, “wkbLineString”, “wkbPolygon”, “wkbMultiPoint”, “wkbMultiLineString”, “wkbMultiPolygon”, or “wkbGeometryCollection”. Optionally “25D” may be appended to mark it as including Z coordinates. Defaults to “wkbUnknown” indicating that any geometry type is allowed.
LayerSRS (optional): The value of this element is the spatial reference to use for the layer. If not provided, it is inherited from the source layer. The value may be WKT or any other input that is accepted by the OGRSpatialReference::SetUserInput() method. If the value is NULL, then no SRS will be used for the layer.
Starting with OGR 1.11, the GeometryField element can be repeated as many times as necessary to create multiple geometry fields. It accepts a name attribute (recommended) that will be used to define the VRT geometry field name. When encoding is not specified, the field attribute will be used to determine the corresponding geometry field name in the source layer. If neither encoding nor field are specified, it is assumed that the name of source geometry field is the value of the name attribute.
Starting with GDAL 2.0, the optional nullable attribute can be used to specify whether the geometry field is nullable. It defaults to “true”.
When several geometry fields are used, the following child elements of GeometryField can be defined to explicitly set the geometry type, SRS, source region, or extent.
GeometryType (optional) : same syntax as OGRVRTLayer-level GeometryType.
SRS (optional) : same syntax as OGRVRTLayer-level LayerSRS (note SRS vs LayerSRS)
SrcRegion (optional) : same syntax as OGRVRTLayer-level SrcRegion
ExtentXMin, ExtentYMin, ExtentXMax and ExtentXMax (optional) : same syntax as OGRVRTLayer-level elements of same name
If no GeometryField element is specified, all the geometry fields of the source layer will be exposed by the VRT layer. In order not to expose any geometry field of the source layer, you need to specify OGRVRTLayer-level GeometryType element to wkbNone.
SrcRegion (optional, from GDAL 1.7.0) : This element is used to define an initial spatial filter for the source features. This spatial filter will be combined with any spatial filter explicitly set on the VRT layer with the SetSpatialFilter() method. The value of the element must be a valid WKT string defining a polygon. An optional clip attribute can be set to “TRUE” to clip the geometries to the source region, otherwise the source geometries are not modified.
Field (optional, from GDAL 1.7.0): One or more attribute fields may be defined with Field elements. If no Field elements are defined, the fields of the source layer/sql will be defined on the VRT layer. The Field may have the following attributes:
name (required): the name of the field.
type: the field type, one of “Integer”, “IntegerList”, “Real”, “RealList”, “String”, “StringList”, “Binary”, “Date”, “Time”, or “DateTime”. Defaults to “String”.
subtype: (GDAL >= 2.0) the field subtype, one of “None”, “Boolean”, “Int16”, “Float32”. Defaults to “None”.
width: the field width. Defaults to unknown.
precision: the field width. Defaults to zero.
src: the name of the source field to be copied to this one. Defaults to the value of “name”.
nullable (GDAL >= 2.0) can be used to specify whether the field is nullable. It defaults to “true”.
FeatureCount (optional, from GDAL 1.10.0) : This element is used to define the feature count of the layer (when no spatial or attribute filter is set). This can be useful on static data, when getting the feature count from the source layer is slow.
ExtentXMin, ExtentYMin, ExtentXMax and ExtentXMax (optional, from GDAL 1.10.0) : Those elements are used to define the extent of the layer. This can be useful on static data, when getting the extent from the source layer is slow.
A OGRVRTWarpedLayer element (GDAL >= 1.10.0) is used to do on-the-fly reprojection of a source layer. It may have the following subelements:
OGRVRTLayer, OGRVRTWarpedLayer or OGRVRTUnionLayer (mandatory): the source layer to reproject.
SrcSRS (optional): The value of this element is the spatial reference to use for the layer before reprojection. If not specified, it is deduced from the source layer.
TargetSRS (mandatory): The value of this element is the spatial reference to use for the layer after reprojection.
ExtentXMin, ExtentYMin, ExtentXMax and ExtentXMax (optional, from GDAL 1.10.0) : Those elements are used to define the extent of the layer. This can be useful on static data, when getting the extent from the source layer is slow.
WarpedGeomFieldName (optional, from GDAL 1.11) : The value of this element is the geometry field name of the source layer to wrap. If not specified, the first geometry field will be used. If there are several geometry fields, only the one matching WarpedGeomFieldName will be warped; the other ones will be untouched.
A OGRVRTUnionLayer element (GDAL >= 1.10.0) is used to concatenate the content of source layers. It should have a name and may have the following subelements:
OGRVRTLayer, OGRVRTWarpedLayer or OGRVRTUnionLayer (mandatory and may be repeated): a source layer to add in the union.
PreserveSrcFID (optional) : may be ON or OFF. If set to ON, the FID from the source layer will be used, otherwise a counter will be used. Defaults to OFF.
SourceLayerFieldName (optional) : if specified, an additional field (named with the value of SourceLayerFieldName) will be added in the layer field definition. For each feature, the value of this field will be set with the name of the layer from which the feature comes from.
GeometryType (optional) : see above for the syntax. If not specified, the geometry type will be deduced from the geometry type of all source layers.
LayerSRS (optional) : see above for the syntax. If not specified, the SRS will be the SRS of the first source layer.
FieldStrategy (optional, exclusive with Field or GeometryField) : may be FirstLayer to use the fields from the first layer found, Union to use a super-set of all the fields from all source layers, or Intersection to use a sub-set of all the common fields from all source layers. Defaults to Union.
Field (optional, exclusive with FieldStrategy) : see above for the syntax. Note: the src attribute is not supported in the context of a OGRVRTUnionLayer element (field names are assumed to be identical).
GeometryField (optional, exclusive with FieldStrategy, GDAL >= 1.11) : the name attribute and the following sub-elements GeometryType, SRS and Extent[X|Y][Min|Max] are available.
FeatureCount (optional) : see above for the syntax
ExtentXMin, ExtentYMin, ExtentXMax and ExtentXMax (optional) : see above for the syntax
Example: ODBC Point Layer¶
In the following example (disease.ovf) the worms table from the ODBC database DISEASE is used to form a spatial layer. The virtual file uses the “x” and “y” columns to get the spatial location. It also marks the layer as a point layer, and as being in the WGS84 coordinate system.
<OGRVRTDataSource>
<OGRVRTLayer name="worms">
<SrcDataSource>ODBC:DISEASE,worms</SrcDataSource>
<SrcLayer>worms</SrcLayer>
<GeometryType>wkbPoint</GeometryType>
<LayerSRS>WGS84</LayerSRS>
<GeometryField encoding="PointFromColumns" x="x" y="y"/>
</OGRVRTLayer>
</OGRVRTDataSource>
Example: Renaming attributes¶
It can be useful in some circumstances to be able to rename the field names from a source layer to other names. This is particularly true when you want to transcode to a format whose schema is fixed, such as GPX (<name>, <desc>, etc.). This can be accomplished using SQL this way:
<OGRVRTDataSource>
<OGRVRTLayer name="remapped_layer">
<SrcDataSource>your_source.shp</SrcDataSource>
<SrcSQL>SELECT src_field_1 AS name, src_field_2 AS desc FROM your_source_layer_name</SrcSQL>
</OGRVRTLayer>
</OGRVRTDataSource>
This can also be accomplished (from GDAL 1.7.0) using explicit field definitions:
<OGRVRTDataSource>
<OGRVRTLayer name="remapped_layer">
<SrcDataSource>your_source.shp</SrcDataSource>
<SrcLayer>your_source</SrcLayer>
<Field name="name" src="src_field_1" />
<Field name="desc" src="src_field_2" type="String" width="45" />
</OGRVRTLayer>
</OGRVRTDataSource>
Example: Transparent spatial filtering (GDAL >= 1.7.0)¶
The following example will only return features from the source layer that intersect the (0,40)-(10,50) region. Furthermore, returned geometries will be clipped to fit into that region.
<OGRVRTDataSource>
<OGRVRTLayer name="source">
<SrcDataSource>source.shp</SrcDataSource>
<SrcRegion clip="true">POLYGON((0 40,10 40,10 50,0 50,0 40))</SrcRegion>
</OGRVRTLayer>
</OGRVRTDataSource>
Example: Reprojected layer (GDAL >= 1.10.0)¶
The following example will return the source.shp layer reprojected to EPSG:4326.
<OGRVRTDataSource>
<OGRVRTWarpedLayer>
<OGRVRTLayer name="source">
<SrcDataSource>source.shp</SrcDataSource>
</OGRVRTLayer>
<TargetSRS>EPSG:4326</TargetSRS>
</OGRVRTWarpedLayer>
</OGRVRTDataSource>
Example: Union layer (GDAL >= 1.10.0)¶
The following example will return a layer that is the concatenation of source1.shp and source2.shp.
<OGRVRTDataSource>
<OGRVRTUnionLayer name="unionLayer">
<OGRVRTLayer name="source1">
<SrcDataSource>source1.shp</SrcDataSource>
</OGRVRTLayer>
<OGRVRTLayer name="source2">
<SrcDataSource>source2.shp</SrcDataSource>
</OGRVRTLayer>
</OGRVRTUnionLayer>
</OGRVRTDataSource>
Example: SQLite/Spatialite SQL dialect (GDAL >=1.10.0)¶
The following example will return four different layers which are generated in a fly from the same polygon shapefile. The first one is the shapefile layer as it stands. The second layer gives simplified polygons by applying SpatiaLite function “Simplify” with parameter tolerance=10. In the third layer the original geometries are replaced by their convex hulls. In the fourth layer SpatiaLite function PointOnSurface is used for replacing the original geometries by points which are inside the corresponding source polygons. Note that for using the last three layers of this VRT file GDAL must be compiled with SQLite and SpatiaLite.
<OGRVRTDataSource>
<OGRVRTLayer name="polygons">
<SrcDataSource>polygons.shp</SrcDataSource>
</OGRVRTLayer>
<OGRVRTLayer name="polygons_as_simplified">
<SrcDataSource>polygons.shp</SrcDataSource>
<SrcSQL dialect="sqlite">SELECT Simplify(geometry,10) from polygons</SrcSQL>
</OGRVRTLayer>
<OGRVRTLayer name="polygons_as_hulls">
<SrcDataSource>polygons.shp</SrcDataSource>
<SrcSQL dialect="sqlite">SELECT ConvexHull(geometry) from polygons</SrcSQL>
</OGRVRTLayer>
<OGRVRTLayer name="polygons_as_points">
<SrcDataSource>polygons.shp</SrcDataSource>
<SrcSQL dialect="sqlite">SELECT PointOnSurface(geometry) from polygons</SrcSQL>
</OGRVRTLayer>
</OGRVRTDataSource>
Example: Multiple geometry fields (GDAL >= 1.11)¶
The following example will expose all the attribute and geometry fields of the source layer:
<OGRVRTDataSource>
<OGRVRTLayer name="test">
<SrcDataSource>PG:dbname=testdb</SrcDataSource>
</OGRVRTLayer>
</OGRVRTDataSource>
To expose only part (or all!) of the fields:
<OGRVRTDataSource>
<OGRVRTLayer name="other_test">
<SrcDataSource>PG:dbname=testdb</SrcDataSource>
<SrcLayer>test</SrcLayer>
<GeometryField name="pg_geom_field_1" />
<GeometryField name="vrt_geom_field_2" field="pg_geom_field_2">
<GeometryType>wkbPolygon</GeometryType>
<SRS>EPSG:4326</SRS>
<ExtentXMin>-180</ExtentXMin>
<ExtentYMin>-90</ExtentYMin>
<ExtentXMax>180</ExtentXMax>
<ExtentYMax>90</ExtentYMax>
</GeometryField>
<Field name="vrt_field_1" src="src_field_1" />
</OGRVRTLayer>w
</OGRVRTDataSource>
To reproject the ‘pg_geom_field_2’ geometry field to EPSG:4326:
<OGRVRTDataSource>
<OGRVRTWarpedLayer>
<OGRVRTLayer name="other_test">
<SrcDataSource>PG:dbname=testdb</SrcDataSource>
</OGRVRTLayer>
<WarpedGeomFieldName>pg_geom_field_2</WarpedGeomFieldName>
<TargetSRS>EPSG:32631</TargetSRS>
</OGRVRTWarpedLayer>
</OGRVRTDataSource>
To make the union of several multi-geometry layers and keep only a few of them:
<OGRVRTDataSource>
<OGRVRTUnionLayer name="unionLayer">
<OGRVRTLayer name="source1">
<SrcDataSource>PG:dbname=testdb</SrcDataSource>
</OGRVRTLayer>
<OGRVRTLayer name="source2">
<SrcDataSource>PG:dbname=testdb</SrcDataSource>
</OGRVRTLayer>
<GeometryField name="pg_geom_field_2">
<GeometryType>wkbPolygon</GeometryType>
<SRS>EPSG:4326</SRS>
<ExtentXMin>-180</ExtentXMin>
<ExtentYMin>-90</ExtentYMin>
<ExtentXMax>180</ExtentXMax>
<ExtentYMax>90</ExtentYMax>
</GeometryField>
<GeometryField name="pg_geom_field_3" />
<Field name="src_field_1" />
</OGRVRTUnionLayer>
</OGRVRTDataSource>
Other Notes¶
When the GeometryField is “WKT” spatial filtering is applied after extracting all rows from the source datasource. Essentially that means there is no fast spatial filtering on WKT derived geometries.
When the GeometryField is “PointFromColumns”, and a SrcLayer (as opposed to SrcSQL) is used, and a spatial filter is in effect on the virtual layer then the spatial filter will be internally translated into an attribute filter on the X and Y columns in the SrcLayer. In cases where fast spatial filtering is important it can be helpful to index the X and Y columns in the source datastore, if that is possible. For instance if the source is an RDBMS. You can turn off that feature by setting the useSpatialSubquery attribute of the GeometryField element to FALSE.


allocates memory for arrays containing doubles.
allocates memory for arrays containing doubles.
can be used to store matrices by row or column.
refer to element A[i][j] as A[i*TDA+j] or A[j*LDA+i]
where LDA and TDA are the leading and trailing dimensions of A, resp.


{% include 'base_head.html' %} {% include 'nav_head.html' %} {% include '404_head.html' %}
{% include 'nav.html'%}
404
Oops!
The page you are trying to visit does not exist.


If you don't want to build object graphs you can use SqlQuery
instead
which returns SqlRow
objects rather than entity beans.
Unparsed RawSql:
When RawSql is created via RawSqlBuilder.unparsed(String)
then Ebean can not
modify the SQL at all. It can't add any extra expressions into the SQL.
Parsed RawSql:
When RawSql is created via RawSqlBuilder.parse(String)
then Ebean will parse the
SQL and find places in the SQL where it can add extra where expressions, add
extra having expressions or replace the order by clause. If you want to
explicitly tell Ebean where these insertion points are you can place special
strings into your SQL (${where}
or ${andWhere}
and ${having}
or
${andHaving})
.
If the SQL already includes a WHERE clause put in ${andWhere}
in the location
you want Ebean to add any extra where expressions. If the SQL doesn't have a
WHERE clause put ${where}
in instead. Similarly you can put in ${having}
or
${andHaving}
where you want Ebean put add extra having expressions.
Aggregates:
Often RawSql will be used with Aggregate functions (sum, avg, max etc). The follow example shows an example based on Total Order Amount - sum(d.order_qty*d.unit_price).
We can use a OrderAggregate bean that has a @Sql to indicate it is based on RawSql and not based on a real DB Table or DB View. It has some properties to hold the values for the aggregate functions (sum etc) and a @OneToOne to Order.
Example OrderAggregate
...
// @Sql indicates to that this bean
// is based on RawSql rather than a table
@Entity
@Sql
public class OrderAggregate {
@OneToOne
Order order;
Double totalAmount;
Double totalItems;
// getters and setters
...
}
Example 1:
String sql = " select order_id, o.status, c.id, c.name, sum(l.order_qty*l.unit_price) as totalAmount"
+ " from order o"
+ " join customer c on c.id = o.customer_id "
+ " join order_line l on l.order_id = o.id " + " group by order_id, o.status ";
RawSql rawSql = RawSqlBuilder.parse(sql)
// map the sql result columns to bean properties
.columnMapping("order_id", "order.id")
.columnMapping("o.status", "order.status")
.columnMapping("c.id", "order.customer.id")
.columnMapping("c.name", "order.customer.name")
// we don't need to map this one due to the sql column alias
// .columnMapping("sum(d.order_qty*d.unit_price)", "totalAmount")
.create();
List<OrderAggregate> list = DB.find(OrderAggregate.class)
.setRawSql(rawSql)
.where().gt("order.id", 0)
.having().gt("totalAmount", 20)
.findList();
Example 2:
The following example uses a FetchConfig().query() so that after the initial RawSql query is executed Ebean executes a secondary query to fetch the associated order status, orderDate along with the customer name.
String sql = " select order_id, 'ignoreMe', sum(l.order_qty*l.unit_price) as totalAmount "
+ " from order_line l"
+ " group by order_id ";
RawSql rawSql = RawSqlBuilder.parse(sql)
.columnMapping("order_id", "order.id")
.columnMappingIgnore("'ignoreMe'")
.create();
List<OrderAggregate> orders = DB.find(OrderAggregate.class)
.setRawSql(rawSql)
.fetch("order", "status,orderDate", FetchConfig.ofQuery())
.fetch("order.customer", "name")
.where().gt("order.id", 0)
.having().gt("totalAmount", 20)
.order().desc("totalAmount")
.setMaxRows(10)
.findList();
Example 3: tableAliasMapping
Instead of mapping each column you can map each table alias to a path using tableAliasMapping().
String rs = "select o.id, o.status, c.id, c.name, "+
" l.id, l.order_qty, p.id, p.name " +
"from orders o join o_customer c on c.id = o.customer_id " +
"join order_line l on l.order_id = o.id " +
"join product p on p.id = l.product_id " +
"where o.id <= :maxOrderId and p.id = :productId "+
"order by o.id, l.id asc";
RawSql rawSql = RawSqlBuilder.parse(rs)
.tableAliasMapping("c", "customer")
.tableAliasMapping("l", "lines")
.tableAliasMapping("p", "lines.product")
.create();
List<Order> ordersFromRaw = DB.find(Order.class)
.setRawSql(rawSql)
.setParameter("maxOrderId", 2)
.setParameter("productId", 1)
.findList();
Note that lazy loading also works with object graphs built with RawSql.


{% extends "base.html" %}
{% load humanize %}
{% load i18n %}
{% block page_title %}{{ council }} - {% trans "Dashboard" %}{% endblock page_title %}
{% block content %}
{{ council }}
Report
{{ council.dataquality.report }}
Postcodes by diameter
| Postcode |
Diameter (metres) |
{% for postcode, diameter in postcodes_by_diameter %}
| {{ postcode }} (site) |
{{ diameter|intcomma }} |
{% endfor %}
Largest distances to polling places
| UPRN |
Address |
Post code |
Polling station |
Distance (metres) |
{% for pollingstation_id, uprn, address, slug, postcode, distance in distances_to_stations %}
| {{ uprn }} |
{{ address }}
|
{{ postcode }} (site) |
{{ pollingstation_id }} |
{{ distance|intcomma }} |
{% endfor %}
Polling places
| ID |
Address |
Postcode |
Location? |
{% for pollingstation in pollingstation_list %}
| {{ pollingstation.internal_council_id }} |
{{ pollingstation.address }} |
{{ pollingstation.postcode }} |
{{ pollingstation.location|yesno }} |
{% endfor %}
{% endblock content %}


https://ChromePlugin.com/c/txp6heU1/89-badge-cm-70
https://github.com/someorg/someproject/issues/123
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To update the kimai URL right click the extension button and choose options.
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Christine
Ohinya
"A communicator, PR Practitioner, researcher and coder from Kisumu County."
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To be one of the best coder in the countryd develop an application


--- layout: default title: Get started title_tag: Contribute to Open Source Software | Agile Continuous Delivery | Go CD meta_tag_description: Contributors are encouraged to contribute to our open source software called GO. Find more about our code contribution process here meta_tag_keywords: open source software, contribute to open source, agile continuous delivery, code contribution process, go ---
If you're planning to contribute any code or content, we will have to ask you to sign our Contributor License Agreement before we can accept your pull request.
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OSGi Service Adapter
The MDW OSGi Service Adapter supports configuration-based invocation of OSGi Services.
The service interface must reside in MDW as a Dynamic Java Workflow Asset.
Typically the interface contract is negotiated with the service provider and is included in the codebase of an OSGi bundle,
but the master copy is also imported into an MDW workflow package and is publicized through a URL like the following:
http://host:port/MDWWeb/resources/com.centurylink.mypackage/IMyService.java
Design Attributes
The basic design parameters for configuring an OSGi Service Adapter are illustrated in the screenshot below.
Note: The workflow assets used in this illustration are available in package "com.centurylink.mdw.demo.osgi", which can be imported into your environment
by right-clicking on your project in Process Explorer view and selecting Import > Workflow Package > Discover > demo > osgi.
Service Interface
Select a Java asset in the TreeCombo widget that identifies the OSGi service interface.
Note: All Java assets are displayed in the selector, but you should select one that contains an interface rather than a class.
And this interface must be registered as a service and provided by some OSGi bundle and available at runtime.
Service Method
Once you've selected a Service Interface, the Method dropdown widget is populated with the available methods.
Note: Designer uses the Eclipse APIs for identifying the interface methods.
In order for the dropdown to be populated correctly, the Dynamic Java interface asset must have been opened in Designer so that Eclipse JDT has a chance to parse the source code.
Result Varable
The Result Variable dropdown is used to associate the return value from the OSGi service method with a process variable.
The options in the Result Variable dropdown include java.lang.String variables in your process as well as all the Document Variables (including java.lang.Objects).
Parameters
The arguments to the service method are bound to runtime values through the MDW binding expressions syntax.
Your expression has implicit access to your process variables, and typically these are referenced in the expressions to populate the method parameters.


If you need to position and promote your brand is necessary to be competitive and achieve strategies to accelerate growth in the market, Monesco offers highly qualified and committed professionals to achieve their dreams. We work with you for your future!


{{desc}}
{{temp}}
{{pressure}}
{{wind}}
{{time}}
{{city.name}}
Description: {{city.desc}}
Temperature: {{city.temp}} Celsius, but feels like {{city.tempFeel}} Celsius
Pressure of {{city.pressure}} kPa, with a humidity of {{city.humidity}}%
Wind speeds of {{city.wind}} km/h


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Asking Questions?


Trader Alexandria:
What have you come here for?
I wish to know about the jewels sold during auction.


Blog Archive 2019 The Littlest Type Oct 28 2019 Protocols v: At Your Request Oct 26 2019 Protocols IV: That's Not a Number May 27 2019 Protocols III: Existential Spelling May 12 2019 Protocols II: A Mockery of Protocols Apr 29 2019 Protocols Sidebar I: Protocols Are Nonconformists Apr 28 2019 Protocols I: "Start With a Protocol," He Said Apr 22 2019 2017 A Conditional Breakpoint Apr 23 2017 Refactoring Slow and Steady Feb 13 2017 2016 Talking and Teaching Nov 29 2016 Copying Sep 03 2016 Inspiration Aug 26 2016 2015 NSData, My Old Friend Oct 07 2015 Type-erasure in Stdlib Oct 06 2015 RNCryptor V4 Oct 04 2015 A Little Respect for AnySequence Aug 04 2015 Product or Process? Jul 20 2015 Throw Money at It Jun 22 2015 Re...throws? Jun 18 2015 Throw What Don't Throw Jun 16 2015 2014 I, for One, Welcome Our New Haskell Overlords Sep 29 2014 Go Is a Shop-built Jig Sep 17 2014 Reduction in Force Sep 14 2014 Flattenin' Your Mappenin' Sep 07 2014 Maps... Wait, They Don't Love You Like I Love You Aug 28 2014 Functional Wish Fulfillment Aug 18 2014 Your Lips Keep Moving, but All I Hear Is "Applicator Functive Monastic Llama Calculus..." Aug 09 2014 But Should I...Swift? Jul 28 2014 I Don't Know Swift Jul 18 2014 Swift Is Not Functional Jun 10 2014 A Week of Swift Jun 09 2014 Renaissance 2014 Materials Jan 30 2014 Pinning Your SSL Certs Jan 01 2014 2013 RNCryptor: Truncating Passwords Dec 30 2013 Brute Forcing Passwords Dec 27 2013 New Blog Site Dec 24 2013 New Forum for RNCryptor Dec 20 2013 Update on RNCryptor Vulnerability Fix Jan 17 2013 RNCryptor HMAC Vulnerability (My Security Blunder) Jan 14 2013 2012 Animating Arbitrary KeyPaths Dec 17 2012 CocoaConf Nov 29 2012 PBKDF2 and SHA-1 Sep 18 2012 RNCryptor and My Titanium Experiment Aug 21 2012 Updated RNCryptor Jul 13 2012 Phone-screening Cocoa Developers Jun 26 2012 RNCryptor Async Jun 24 2012 Mode Changes for RNCryptor Jun 18 2012 Simple GCD Timer (RNTimer) May 29 2012 Wrapping C++ Final Edition May 12 2012 Github and Its Pricing Mar 30 2012 Some Math Behind "Contribution != Compensation" Mar 24 2012 Triangle CocoaHeads (and Building a (Core) Foundation) Mar 23 2012 Even Faster Bezier Mar 06 2012 Introduction to Fast Bezier (and Trying the Accelerate.framework) Feb 24 2012 Converting Algebra to Matrices for Accelerate Framework Feb 06 2012 Drop-in Offline Caching for UIWebView (and NSURLProtocol) Jan 29 2012 2011 Kindle! Dec 22 2011 iOS 5 Programming in Adobe E-Book Format Dec 16 2011 A Moment in the Sun Dec 15 2011 The Book Is Almost Here Dec 11 2011 Properly Encrypting With AES With CommonCrypto Aug 11 2011 A PandoraBoy Maintainer Emerges Aug 03 2011 Looking for a PandoraBoy Maintainer Jul 26 2011 One of the Reasons I Like KACE (the New M300) Jul 14 2011 Laying Out Text With Core Text May 20 2011 Wrapping Text Around a Shape With CoreText Mar 25 2011 Returning From the Deep Hack Feb 02 2011 2010 Clipping a CGRect to a CGPath Sep 09 2010 Pandora's "Profile" Pop-up Aug 06 2010 PandoraBoy 0.8.2 - Fixes Flash Jul 15 2010 Building Address Book Plugins Jul 15 2010 Hijacking With method_exchangeImplementations() Jul 07 2010 Wrapping C++ - Take 2, Part 2 Jun 10 2010 Wrapping C++ - Take 2, Part 1 Jun 09 2010 Chinese Study Apr 28 2010 NSLog Ain't Printf in -Wformat Apr 13 2010 iPhone as a Career Apr 11 2010 Learning Cocoa With Other Backgrounds Jan 28 2010 How to Become a Security Domain Expert? Jan 08 2010 gotoAndPlay Jan 08 2010 2009 The Recent Pandora Update Dec 25 2009 PandoraBoy 0.8 Sep 28 2009 GCD + iPhone Sep 14 2009 Implementing NSCopying (or NSCopyObject() Considered Harmful) Sep 04 2009 Importing UIKit vs. Cocoa Aug 20 2009 Re-growling Song in PB Aug 19 2009 PandoraBoy Moving to Leopard Aug 18 2009 Flash Bug, SIGINT From Debugger() Aug 16 2009 Quit Using +stringWithString: Aug 12 2009 View Controllers and Notifications Aug 05 2009 Broader Use of ObjC Aug 03 2009 Understanding System_profiler Jun 26 2009 Obfuscating Cocoa Jun 26 2009 Latest News Jun 26 2009 CGEventTimestamps Are Big Jun 02 2009 Building the Build System - Part 2 - Project Templates May 20 2009 PandoraBoy Work May 17 2009 Building the Build System - Part 1 - Abandoning the Build Panel May 14 2009 App Delegate May 12 2009 Review of Beginning iPhone Development Apr 29 2009 Scripting Bridge Apr 27 2009 Review of iPhone Developer's Cookbook Apr 27 2009 iPhone Course Syllabus Apr 23 2009 Wrapping C++ in ObjC Apr 14 2009 Learning iPhone From Scratch Mar 31 2009 Memory Managing IBOutlets Mar 22 2009 Core Data vs. RDBMS Mar 05 2009 Building Autoconf Tools Feb 23 2009 On "Evidence Based Scheduling" Feb 19 2009 Quick Capture About iPhone Keychain Jan 28 2009 2008 Three Magic Words Nov 24 2008 Some Thoughts on NSNotifications Nov 19 2008 NSNotFound Nov 17 2008 Pandora Notifications Jul 07 2008 Pandora UI Update Jun 29 2008 XCode vs. Visual Studio Jun 20 2008 Searching for HttpWebRequest.Date May 30 2008 PandoraBoy in French May 25 2008 Reporting Vulnerabilities Apr 04 2008 105 Mar 18 2008 Garbage Collection Mar 08 2008 Learning Cocoa Mar 08 2008 Private Frameworks' Install Path Mar 05 2008 PandoraBoy 0.5.1 Released Mar 04 2008 Upcoming PandoraBoy Release Feb 12 2008 PandoraBoy and XCode3 Jan 13 2008 89 Jan 08 2008 2007 88 Dec 30 2007 87 Dec 24 2007 86 Dec 17 2007 85 Dec 16 2007 83 Dec 15 2007 81 Dec 15 2007 79 Dec 07 2007 77 Dec 02 2007 75 Dec 02 2007 73 Dec 01 2007
Your Lips Keep Moving, but All I Hear Is "Applicator Functive Monastic Llama Calculus..." Aug 09 2014


See whether you can get past the above input field using the keyboard alone... Cannot? this is because the implementation of a lookahead is not doing the correct thing.


I am entry level developer located in Los Angeles. Im exploring new technologies while having a great understanding of some of the most popular frameworks. Im commited, motivated, and great at problem solving through leadership
3.7 GPA
I enjoy most of my time working on cars or just having a good time with my family and peers.
I've learned alot and I enjoy spending most of my free time exploring the latest technologies and frameworks.


What is gleaning?
Gleaning is the collection of leftover crops, both large and small, from farmers' fields after they have been commercially harvested or from fields where it is not economically profitable to harvest. GleanSLO has expanded this definition to include the collection of surplus produce from backyards and gardens of community residents.
Here's how GleanSLO works
I had an excellent experience with GleanSLO. They were easy to work with, scheduling and harvesting went smoothly. Their staff and volunteers were very professional. It’s an all around great organization. I was happy to see my extra corn get to people in need.
-Steve Lechuga, corn grower
GleanSLO got our bountiful harvest to a place that could do so much good. I was so grateful that someone would come do that. Better for the trees, better for those of our county and better for the environment. I feel great being a part of your commitment.
-Robinette Cantrell, homeowner
I glean because I love to cook with fresh produce and eat lots of fresh fruit, and I am aware that not everybody can afford these. I don't like any kind of wasting and I am happy to contribute to honoring nature's abundance. I love the physical work and that it lasts only 2 or 3 hours, I love being connected to earth and plants and the other gleaners – there are so many interesting people among gleaners, and it's wonderful to meet them again at another glean.
-Deborah Berger, volunteer
- Contact
Many commercial growers and private homeowners have fruit trees, bushes, vines or entire orchards and fields that produce more fresh fruit or vegetables than they can harvest. We invite them to register their crops online. Donations are tax deductible. - Harvest
Working closely with growers, GleanSLO employees or volunteer leaders organize harvests to gather the fresh produce. Volunteer pickers sign up online, checking off a liability waiver that protects crop owners. - Distribute
The produce collected is distributed by the Food Bank Coalition to our neighbors in need. Over 46,000 San Luis Obispo County residents are served by the Food Bank yearly.
What we choose to eat matters to our health and our climate.


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Web Setup
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Use HSB sliders instead of RGB by default:
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Please specify your custom hex colors (e.g. FF0000 for red)
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|
learn-spatial-structure
|
Public Member Functions | |
| def | __init__ (self, type_environment, n_sensations, environment_size) |
| def | get_sensation_at_position (self, position) |
| def | generate_shift (self, k) |
| def | display (self, show) |
| def | destroy (self) |
| def | save (self, destination) |
Public Attributes | |
| type | |
| n_sensations | |
| environment_size | |
type: str type of environment n_sensations: int dimension of the sensory input produced at each sensor position environment_size: [int, int] or [float, float] size of the environment get_sensation_at_position(position): generate the sensory inputs associated with input holistic sensor positions generate_shift(k): returns k random shifts of the environment display(): displays the environment log(dir): logs the environment's parameters
| def Environments.Environment.save | ( | self, | |
| destination | |||
| ) |
Writes the environment's attributes to the disk.


Provides simple geometry primitives that may be used to create shapes within the rendering engine, this abstracts details so that the geometry might be used in other rendering eviornments not limited to Java3D. Note that these objects have no physical properties.
Related Documentation


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title: Home
---
Welcome to eskimor's blog and website!
A blog about my work, personal breakthroughs and general stuff about
(functional) programming and software architectures.
Blog Posts
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Projects
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主题市场
- 天茂
- 巨划算
- 天茂超市
- ...
WWF's goal is to: Build a future where people live in harmony with nature.
Here is a quote from WWF's website:
For 50 years, WWF has been protecting the future of nature. The world's leading conservation organization, WWF works in 100 countries and is supported by 1.2 million members in the United States and close to 5 million globally.
The WHO was founded in 1948.
Written by John Doe.The image will float to the left of the text.
x = 5;
y = 6;
z = x + y;


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umilili
IM
6
7
8
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V
The
New
York
copyright
reserved
Botanical
Garden
RANCHO
SANTA
ANA
BOTANIC
GARDEN
Plants
of
Jamaica
Sapotaceae
Bumelia
nigra
Sw.
PARISH
OF
TRELAWNY:
Vicinity
of
Burnt
Hill;
elev,
ca.
1700
feet.
Large
tree.
Robert
F.
Thorne
G.
R.
Proctor
48092
7
June
1976
BOTANICAL
GARDER
NEW
YORK
BOTANICAL
GARDEN
01443726
01443726
Legend -
Level of confidence that token is an accurately-transcribed word
extremely low
very low
low
undetermined
medium
high
very high


Niels Leenheer: Monsters, brievenbussen en andere onzin
In an hour-long session, Niels demonstrated his Web of Things hacking, which he used to make his home a better place.
In an hour-long session, Niels demonstrated his Web of Things hacking, which he used to make his home a better place.


My Team
name
Manager
ID Number:
Email:
email
Office Number:
name
Engineer
ID Number:
Email:
email
GitHub:
github
name
Engineer
ID Number:
Email:
email
GitHub:
github
name
Intern
ID Number:
Email:
email
School:


Class Load
Include PHP files in the given source path
- FileRouter\Router\AbstractImpl implements FileRouter\Router
- FileRouter\Router\Load
Namespace: FileRouter\Router
License: See LICENSE file for more information
Author: Pierre Klink<EMAIL_ADDRESS>Located at FileRouter/Router/Load.php
License: See LICENSE file for more information
Author: Pierre Klink<EMAIL_ADDRESS>Located at FileRouter/Router/Load.php
public
|
#
__construct(
Create instance with source path and "php" as fileExtension |
public
|
getFileByRoute(),
getFileExtension(),
getSourcePath(),
setFileExtension(),
setSourcePath()
|
$fileExtension,
$sourcePath
|


Philippines rescues British man, wife held by Abu Sayyaf
MANILA: Soldiers in the southern Philippines rescued a British man and a Filipino woman nearly two months after their capture from members of an militant group, the army said on Monday (Nov 25), after their captors fled during a military operation.
The couple, Allan and Wilma Hyrons, were abducted at gunpoint on Oct 4 from the resort they ran in a neighbouring province and were now being looked after at a military camp.
A photograph issued by the army showed the couple unharmed and eating a meal.
The kidnappers were members of Abu Sayyaf, a group that operates in the Sulu archipelago and has extremist factions loyal to the Islamic State group, and linked to at least five suicide bombings in the region in the past 16 months.
Troops rescued the pair after a firefight with gunmen from the militant group on the restive southern island of Jolo, which is a stronghold of the kidnap-for-ransom gang that has been behind some of the worst attacks in the Philippines.
"There was a brief exchange of fire, but they later abandoned the couple after being overwhelmed by pursuing government forces," Lieutenant General Cirilito Sobejana told AFP."
Regional army spokesman Arvin Encinas said no ransom was paid.
The British embassy in Manila confirmed the rescue of Alan and Wilma Hyrons, saying in a statement "we extend our gratitude to the government and authorities of the Philippines".
Abu Sayyaf is much feared for its banditry, piracy and kidnap-for-ransom business, with targets that include Europeans and seamen from Vietnam, Indonesia and Malaysia. Some hostages were held for years and beheaded when ransom was not paid, among them a German and two Canadians.
Dutch birdwatcher Ewold Horn, who was kidnapped in 2012 in the southern Philippines, was killed in May during a firefight between his Abu Sayyaf captors and the military.
The Philippines does not disclose when demands for their release are met.
Philippine President Rodrigo Duterte has poured more troops into the region to try to wipe out Abu Sayyaf. The group remains influential among local clans and a formidable opponent, with a small and well-equipped network that operates in the jungles of Basilan and Jolo islands.
On Saturday, the army said it had killed a man it believed to be central to the group's planning of suicide bombings and its coordination with Islamic State.