© 2013, NVIDIA CORPORATION. All rights reserved.
Code and text by Sean Baxter, NVIDIA Research.
(Click here for license. Click here for contact information.)
Latency-oriented systems (CPUs) use large caches, branch prediction, and speculative fetching to avoid stalls on data dependencies. GPUs, by contrast, are throughput-oriented systems that use massive parallelism to hide latency. Occupancy is a measure of thread parallelism in a CUDA program. Instruction-level Parallelism is a measure of parallelism within threads. The higher the occupancy and ILP, the more opportunities an SM has to put compute and load/store units to work each cycle. Threads waiting on data dependencies and barriers are taken out of consideration until their hazards are resolved.
Kernels may be limited by DRAM to L2 cache bandwidth, L2 to SM bandwidth, texture bandwidth, FFMA, DFMA, integer, or shared memory performance. In some sense, being limited by bandwidth is a victory condition for optimization: a routine is fully exploiting at least one capability of the device. Performance can then only be improved by redesigning the code to use less of the limiting resource.
More often, and especially for codes that involve many subsystems, a kernel is latency limited. This state of under-occupancy occurs when there is insufficient parallelism to hide instruction latency. Many highly-optimized routines become latency limited as work efficiency improves. As code becomes leaner the GPU has more free units than it has instructions to execute, a consequence of optimizing away unnecessary operations.
Important: The performance of latency-limited kernels is difficult to reason about. Optimizations that reduce work (or improve work efficiency) might not improve—and could even hinder—throughput. Focus on reducing latency on the most-congested path.
There are five resource limits that cap occupancy:
| sm_20 | sm_30 | sm_35 | |
| Max Threads (SM) | 1536 | 2048 | 2048 |
| Max CTAs (SM) | 8 | 16 | 16 |
| Shared Memory Capacity (SM) | 48 KB | 48 KB | 48 KB |
| Register File Capacity (SM) | 128 KB | 256 KB | 256 KB |
| Max Registers (Thread) | 63 | 63 | 255 |
Max Threads - You may be under-occupied even with 100% occupancy (1536 or 2048 threads running concurrently per SM). This is likely caused by poor ILP: increase the program's parallelism by register blocking to process multiple elements per thread. In MGPU most kernels are register blocked with grain size VT. You may also want to reduce the CTA size, so that barriers don't stall as many threads: smaller CTAs lead to better overlapped execution than larger ones.
Max CTAs - If you launch small blocks, your occupancy will be constrained by a hardware limit on resident CTAs. On Kepler, blocks must be at least 128 threads wide to hit maximum occupancy (16 CTAs/SM). Using smaller blocks reduces occupancy; larger blocks compromise overlapped execution. In the absence of performance data, start with blocks of 128 or 256 threads.
Shared Memory Capacity - Many optimized register-blocked kernels are limited by shared memory capacity. Fermi has a 2.7:1 ratio of register file to shared memory. Kepler SMs have higher arithmetic throughput and latency (the two often increase together), but hasn't increased shared memory capacity, giving a ratio of 5.3:1. At 100% occupancy, a thread has 32 registers (128 bytes) but only 24 bytes of shared memory. Register blocking for eight values per thread, with shared memory sized to accommodate all the values at once (for key exchange and other critical operations), implies no higher than 1536 threads/SM occupancy (75%). More aggressive register blocking drops this further. Operating at less than maximum occupancy does not imply under-occupancy, as ILP may be sufficient to cover latencies.
Register File Capacity - Register file is more copious than shared memory, and in the inverted cache hierarchy that GPUs are designed with, it's larger than even L2 cache. Still, code may be limited by RF capacity.  If your kernel uses more registers than you expect, try re-ordering load and store procedures to move out results before reading more inputs.
Max Registers - sm_20 and sm_30 devices have a limit of 63 registers per thread. If the back-end code generator cannot fit the working set of the kernel into 63 registers, it provisions local memory (driver-managed global memory) to spill state. Kernels with spill assume additional latency. sm_35 devices have access to 255 registers per thread. While this relieves a register pressure problem for many procedures, it may also cause an additional drop in occupancy. sm_30 kernels that are limited by RF capacity will run at 50% occupancy (63 registers/thread). The same kernel running on sm_35 may only achieve 12.5% occupancy, because each thread now consumes four times as much of the RF.
For all performance-critical kernels, compile with -Xptxas="-v"
. This passes a request through the NVVM compiler to the PTX assembler to output register, shared memory, and spill information for all kernels on each target architecture.
ptxas : info : Compiling entry function 'KernelFoo' for 'sm_20' ptxas : info : Function properties for KernelFoo 48 bytes stack frame, 48 bytes spill stores, 36 bytes spill loads ptxas : info : Used 63 registers, 11264 bytes smem, 64 bytes cmem[0] ptxas : info : Compiling entry function 'KernelFoo' for 'sm_35' ptxas : info : Function properties for KernelFoo 0 bytes stack frame, 0 bytes spill stores, 0 bytes spill loads ptxas : info : Used 80 registers, 11264 bytes smem, 352 bytes cmem[0]
The above kernel is too-aggressively register blocked. It hits the 63 register limit and spills on Fermi, achieving 25% occupancy. The function on Fermi is limited by RF capacity - launching four 128-thread CTAs consumes the entire register file.
Because of sm_35's per-thread register increase, the same code doesn't spill on GK110 Kepler. Thanks to the doubled RF capacity, it not limited by that, either. However, the code still runs at only 25% occupancy, because it's limited by shared memory capacity. Each CTA uses 11KB of shared memory, and since the SMs only have 48KB to share, only four 128-thread CTAs may be scheduled per SM (25% occupancy).
ptxas : info : Compiling entry function 'KernelFoo' for 'sm_20' ptxas : info : Function properties for KernelFoo 0 bytes stack frame, 0 bytes spill stores, 0 bytes spill loads ptxas : info : Used 48 registers, 6144 bytes smem, 64 bytes cmem[0] ptxas : info : Compiling entry function 'KernelFoo' for 'sm_35' ptxas : info : Function properties for KernelFoo 0 bytes stack frame, 0 bytes spill stores, 0 bytes spill loads ptxas : info : Used 48 registers, 6144 bytes smem, 352 bytes cmem[0]
Reducing the grain size VT improves occupancy by tackling less work per thread, requiring less state, and thereby consuming less resource. Five CTAs per SM are scheduled on Fermi - the kernel is RF capacity limited (five kernel use 30720/32768 registers). Both sm_30 and sm_35 fare better here. Eight CTAs are scheduled per SMX, limited by shared memory capacity (eight CTAs use all 49152 bytes).
Important: If a kernel spills even after you decrease grain size, you may be inadvertently dynamically indexing into an array that you intended to have reside in register. Use only literals, constant expressions, and unrolled loop iterators to index into register arrays. A compiler warning about an "unknown pragma" that refers back to a #pragma unroll
attribute indicates that some construct is preventing the loop from unrolling, turning static indexes into dynamic ones, and likely causing spill. Although spilling may help performance by increasing occupancy in complex kernels, you should never allow spill that's caused by inadvertent dynamic indexing; this always hurts performance.
CTA size and shared memory consumption are specified by the programmer; these are easily adjusted. RF usage, on the other hand, is a consequence of choices made by the register allocator in the back-end code generator. The __launch_bounds__
kernel attribute gives the user more control over occupancy by providing a cap on per-thread register usage. Tag the kernel with the CTA size and the desired number of CTAs per SM. The code generator now caps register usage by re-ordering instructions to reduce live variables. It spills the overflow.
ptxas : info : Compiling entry function 'KernelFoo' for 'sm_20' ptxas : info : Function properties for KernelFoo 40 bytes stack frame, 40 bytes spill stores, 24 bytes spill loads ptxas : info : Used 36 registers, 6144 bytes smem, 64 bytes cmem[0] ptxas : info : Compiling entry function 'KernelFoo' for 'sm_35' ptxas : info : Function properties for KernelFoo 0 bytes stack frame, 0 bytes spill stores, 0 bytes spill loads ptxas : info : Used 48 registers, 6144 bytes smem, 352 bytes cmem[0]
The previous tuning of KernelFoo
was tagged with __launch_bounds__(128, 7)
to guarantee that 7 CTAs run on each SM. The function now spills on Fermi, but uses only 36 registers per thread (32256/32768 registers per SM). The generated code is unchanged on Kepler, which remains limited to 8 CTAs/SMX by shared memory capacity.
Most MGPU kernels are parameterized over NT (number of threads per CTA) and VT (values per thread, the grain size). The product of these two, NV (number of values per CTA), is the tile size. Increasing tile size amortizes the cost of once-per-thread and once-per-CTA operations, improving work efficiency. On the other hand, increasing grain size consumes more shared memory and registers, reducing occupancy and the ability to hide latency.
The constants NT, VT, and the __launch_bounds__
argument OCC (for occupancy, the minimum number of CTAs per SM) are tuning
parameters. Finding optimal tuning parameters is an empirical process. Different hardware architectures, data types, input sizes and distributions, and compiler versions all effect parameter selection. User-tuning of MGPU library functions may improve throughput by 50% compared to the library's hard-coded defaults.
template<typename GatherIt, typename ScatterIt, typename InputIt, typename OutputIt> MGPU_HOST void IntervalMove(ScatterIt scatter_global, const int* scan_global, int intervalCount, int moveCount, InputIt input_global, OutputIt output_global, CudaContext& context) { const int NT = 128; // Hard-coded MGPU defaults const int VT = 7; ...
MGPU library functions have hard-coded and somewhat arbitrary parameters. The tuning space for type- and behavior-parameterized kernels is simply too large to explore in a project with Modern GPU's goals and scope.
// Copy and modify the host function to expose parameters for easier tuning. template<int NT, int VT, int OCC, typename GatherIt, typename ScatterIt, typename InputIt, typename OutputIt> MGPU_HOST void IntervalMove2(ScatterIt scatter_global, const int* scan_global, int intervalCount, int moveCount, InputIt input_global, OutputIt output_global, CudaContext& context) { // Parameters NT, VT, and OCC are passed in and override the host // defaults. ...
Identify performance-critical routines and the contexts from which they are invoked. Copy the MGPU host functions that launch the relevant kernels and edit them to expose tuning parameters to the caller. Run the code on actual data and deployment hardware through the included benchmark programs, testing over a variety of parameters, to understand the performance space. Use the optimal settings to create specialized entry points to get the best throughput from your GPU.
Important: The omnipresent grain size parameter VT is almost always an odd integer in MGPU code. This choice allows us to step over bank-conflict issues that would otherwise need to be resolved with padding and complicated index calculations. Kernels execute correctly on even grain sizes, but expect diminished performance on these. Omit even grain sizes when searching the tuning space.
Mergesort tuning benchmark from benchmarklaunchbox/benchmarklaunchbox.cu
We've benchmarked MGPU's keys-only mergesort on GTX 480 and GTX Titan, specialized for both 32- and 64-bit integer types. You can see the function's sensitivity to tuning parameters. Note the best-performing configurations for each device and data-type:
| GTX 480 (Fermi) | GTX Titan (Kepler) | |
| 32-bit int | 128x23 | 256x11 |
| 64-bit int | 128x11 | 256x5 |
Parallelism (occupancy) decreases and work-efficiency increases as the grain size goes up. Kepler parts require much higher occupancy than Fermi to reach top performance—the SM is much wider (6 FFMA units up from 2 on Fermi), but per-SM shared memory remains the same at 48KB, badly underoccupying the device at larger grain sizes. Because Fermi runs well at lower occupancy, it benefits from scheduling 128-thread blocks, even at the cost of an additional merge pass. Smaller blocks improve effective occupancy by stalling fewer threads at a synchronization.
Due to the GPU's raw power even untuned codes run excellently, often an order-of-magnitude beyond what you can achieve on the CPU. Tuning benchmarks may be the easiest way to squeeze 20-30% out of your code. It also informs the programmer of the performance landscape, leading to more productive profiling if they decide to go the extra mile. It's always good to tune before profiling so that you don't waste time optimizing code just to get to a local maxima.
Important: The hard-coded tuning parameters for MGPU functions were selected for decent performance on large arrays of 32- and 64-bit data types running on Kepler architecture. Users targeting Fermi devices may want to increase grain sizes significantly, as codes on that generation run better at lower occupancies. In all cases, finding optimal tuning parameters for specific data types and distributions, input sizes, and architectures, is the easiest way to improve performance of well-written code.
Once suitable tuning parameters have been discovered, specialize the host functions over data type (with function overloading or partial template specialization) and input size (with a runtime check and multiple launches). Specializing tuning parameters for different device architectures is more difficult.
The NVCC front-end strips out __device__
and __host__
tags. It calls the host compiler (Visual C++ or GCC) once for the host code and invokes the NVVM back-end once for each architecture. If we were to specialize tuning for each device by branching over compute capability (determined at runtime with cudaDeviceProp::major
and minor
) and making a different chevron launch for each one, we'd end up compiling the cross product of all tunings over all architectures. Even though an sm_20 client will never actually launch kernels specialized with sm_30 or sm_35 tunings, that code would still be included with your binary because the multi-pass build process can't use dead code elimination on launches contingent on a runtime check.
CUDA defines a __CUDA_ARCH__
macro for the compute capability of the architecture that is currently being built in the multi-pass system. Although this macro is not available to the host at runtime, it can be used from inside a kernel's source to allow the kernel to change its own behavior. The macro is typically used to let a kernel opt into features that aren't available on all devices: e.g. the popc
instruction counts the set bits in word, replacing a loop, when __CUDA_ARCH__
>= 200. We use this macro to guide the build process and only generate device code for the architectures it will run on.
MGPU introduces LaunchBox, a structure that specializes kernels for different compute capabilities without generating the cross product of each parameterization and architecture. Think of LaunchBox as concatenating the tuning parameters for all architectures into a single type and specializing the kernel over that type. The kernel reads the relevant parameters from the LaunchBox and changes its own implementation accordingly.
// LaunchBox-specialized kernel Foo uses MGPU_LAUNCH_BOUNDS kernel to control // register usage. The typename Tuning is obligatory, and must be chosen for // the MGPU_LAUNCH_BOUNDS and MGPU_LAUNCH_PARAMS macros to work. template<typename Tuning> MGPU_LAUNCH_BOUNDS void Foo() { typedef MGPU_LAUNCH_PARAMS Params; if(!blockIdx.x && !threadIdx.x) printf("Launch Foo<<<%d, %d>>> with NT=%d VT=%d OCC=%d\n", gridDim.x, blockDim.x, Params::NT, Params::VT, Params::OCC); } // Use the built-in LaunchBoxVT type to specialize for NT, VT, and OCC. void LaunchFoo(int count, CudaContext& context) { typedef LaunchBoxVT< 128, 7, 4, // sm_20 NT=128, VT=7, OCC=4 256, 9, 5, // sm_30 NT=256, VT=9, OCC=5 256, 15, 3 // sm_35 NT=256, VT=15, OCC=3 > Tuning; // GetLaunchParamaters returns (NT, VT) for the arch vesion of the provided // CudaContext. The product of these is the tile size. int2 launch = Tuning::GetLaunchParams(context); int NV = launch.x * launch.y; int numBlocks = MGPU_DIV_UP(count, NV); Foo<Tuning><<<numBlocks, launch.x>>>(); }
Opt into LaunchBox by templating your kernel over Tuning
(Tuning
is an obligatory name). The MGPU_LAUNCH_BOUNDS
macro, which includes the __global__
tag, generates the __launch_bounds__
attribute with the NT and OCC parameters specified at the launch site. The macro uses __CUDA_ARCH__
to discriminate between compute capabilities, binding to the static values corresponding to the currently-executing NVVM compiler pass. Typedef the MGPU_LAUNCH_PARAMS
macro to access the tuning parameters inside the kernel.
Use LaunchBox to specialize the mergesort benchmark above:
Specialize 32-bit mergesort for Fermi and Kepler with LaunchBoxVT<128, 23, 0, 256, 11, 0>
.
Specialize 64-bit mergesort for Fermi and Kepler with LaunchBoxVT<128, 11, 0, 256, 5, 0>
.
These tunings for sm_20 and sm_30 are inherited by other platforms (sm_21 inherits sm_20; sm_35+ inherits sm_30). We choose not to constrain register count by leaving the occupancy parameter zero.
Most users will only need the LaunchBoxVT structure, a specialization that makes tuning more succinct. Specialize this template over (NT, VT, OCC) for sm_20, sm_30, and sm_35. Default template arguments inherit parameters from the earlier-generation architecture, so LaunchBoxVT<128, 7>
is equivalent to LaunchBoxVT<128, 7, 0, 128, 7, 0, 128, 7, 0>
.
Use the static method GetLaunchParams
, passing the CudaContext
object, to return the (NT, VT) arguments for the compute capability of the currently-selected device. The product of these is the tile size. Use it to calculate the launch's grid size. Finally, specialize the kernel over Tuning
and launch the grid with launch.x
(NT) threads.
// LaunchBox-specialized kernel Bar introduces its own set of launch parameters. template<int NT_, int VT_, int OCC_, int P1_, typename T1_> struct BarParams { enum { NT = NT_, VT = VT_, OCC = OCC_, P1 = P1_ }; typedef T1_ T1; }; template<typename Tuning> MGPU_LAUNCH_BOUNDS void Bar() { typedef MGPU_LAUNCH_PARAMS Params; if(!blockIdx.x && !threadIdx.x) { printf("Launch Bar<<<%d, %d>>> with NT=%d VT=%d OCC=%d\n", gridDim.x, blockDim.x, Params::NT, Params::VT, Params::OCC); printf("\t\tP1 = %d sizeof(TT1) = %d\n", Params::P1, sizeof(typename Params::T1)); } } void LaunchBar(int count, CudaContext& context) { typedef LaunchBox< BarParams<128, 7, 4, 20, short>, // sm_20 BarParams<256, 9, 5, 30, float>, // sm_30 BarParams<256, 15, 3, 35, double> // sm_35 > Tuning; int2 launch = Tuning::GetLaunchParams(context); int nv = launch.x * launch.y; int numBlocks = MGPU_DIV_UP(count, nv); Bar<Tuning><<<numBlocks, launch.x>>>(); }
LaunchBoxVT inherits the more generic LaunchBox type and provides some syntactic sugar. LaunchBox takes three types as arguments and typedefs those to Sm20
, Sm30
, and Sm35
. When devices based on the Maxwell architecture are released, LaunchBox will add additional typedefs. The LaunchBox technique inherits parameter tunings to avoid versioning difficulties. Although LaunchBox puts no restrictions on its specialization types, constants NT and VT must be included if the host code wishes to use LaunchBox::GetLaunchParams
(the client can elect not to use this), and NT and OCC must be included to support MGPU_LAUNCH_BOUNDS
(ditto).
GeForce GTX 570 : 1464.000 Mhz (Ordinal 0) 15 SMs enabled. Compute Capability sm_20 FreeMem: 778MB TotalMem: 1279MB. Mem Clock: 1900.000 Mhz x 320 bits (152.000 GB/s) ECC Disabled Launching Foo with 1000000 inputs: Launch Foo<<<1117, 128>>> with NT=128 VT=7 OCC=4 Launching Bar with 1000000 inputs: Launch Bar<<<1117, 128>>> with NT=128 VT=7 OCC=4 P1 = 20 sizeof(TT1) = 2
Launching Foo
and Bar
prints the above. The host function correctly coordinates the launch with the statically- specialized kernel.
There is one small caveat: if LaunchBox is used to specialize kernels for architectures that are not compiled with -gencode on the command line, LaunchBox::GetLaunchParams
could return a different set of tuning parameters than those that the kernel actually gets specialized over. If, for example, the program is compiled for targets sm_20 and sm_30 but is executed on an sm_35 device, the kernel that is launched would be for sm_30 (the largest targeted architectured not greater than the architecture of the device), however the host side would configure the launch with the tuning parameters for sm_35.
To properly coordinate between the static device-side and dynamic host-side interfaces, we implement GetLaunchParams
so that it uses the highest targeted architecture not greater than the device's compute capability when selecting dynamic launch parameters.
// Returns (NT, VT) from the sm version. template<typename Derived> struct LaunchBoxRuntime { static int2 GetLaunchParams(CudaContext& context) { int sm = context.CompilerVersion(); if(sm < 0) { cudaFuncAttributes attr; cudaFuncGetAttributes(&attr, LBVerKernel); sm = 10 * attr.ptxVersion; context.Device().SetCompilerVersion(sm); } // TODO: Add additional architectures as devices are released. if(sm >= 350) return make_int2(Derived::Sm35::NT, Derived::Sm35::VT); else if(sm >= 300) return make_int2(Derived::Sm30::NT, Derived::Sm30::VT); else return make_int2(Derived::Sm20::NT, Derived::Sm20::VT); } };
The first time GetLaunchParams
is called, CudaDevice::CompilerVersion
is unset, and we call cudaFuncGetAttributes
on a place-holder method LBVerKernel
. (Although it is never launched, taking the address of this kernel keeps it in our program.) This bit of CUDA introspection returns the target architecture of the compiled kernel (and presumably all other kernels in the program) through cudaFuncAttributes::ptxVersion
. LaunchBox allows the CUDA runtime to coordinate the host and device sides of the call. All subsequent LaunchBox invocations are ready to go with the compiler version.


{{/*
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annotations for openapi parameters
Takes a single 'changes_dict' parameter, which should be a map of
version -> details pairs.
*/ -}}
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| MultiprocessFuture-class {future} | R Documentation |
An multiprocess future is a future whose value will be resolved asynchronously in a parallel process
MultiprocessFuture(expr = NULL, substitute = TRUE, envir = parent.frame(), ...)
expr |
An R expression. |
substitute |
If TRUE, argument |
envir |
The environment from where global objects should be identified. |
... |
Additional named elements passed to |
An object of class MultiprocessFuture
.
To evaluate an expression using "multiprocess future", see function
multiprocess()
.


This section of the genome database provides a collective site which users can use for search and browsing the mitochondrion (Mt) and plastid/chloroplast (Pt) organelle genomes from following species. Sequences and annotations are derived from the GenBank and species specific annotation projects.
Plant Chloroplast Sequences at GenBank | ||
| Zea mays | NC_001666 | |
| Oryza sativa (japonica) | NC_001320 | |
| Oryza sativa (indica) | NC_008155 | |
| Arabidopsis thaliana | NC_000932 | |
Plant Mitochondria Sequences at GenBank | ||
| Zea mays (strain NA) | DQ490952 | |
| Zea mays (strain NB) | AY506529 | |
| Oryza sativa (japonica) | BA000029 | |
| Oryza sativa (indica) | NC_007886 | |
| Arabidopsis thaliana | NC_001284 |


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some kind of preparation code, I guess
or something
if (condition)
do something in response to a true condition
else if (some other condition)
then we should do something specific else
else
some fallback thing!
some code
do other thing
{} | : {} ();
while (something)
update the counters
hack the gibsons
do the stuff


 This means that it is possible to learn anything, and I mean anything. It sounds amazing right!? Of course this only comes with consistent practice and repitition to form and strengthen the pathways involved in storing this information.
From what I understand at this point in time, the growth mindset severely affects the way we live. What I mean by this is our thoughts, our intentions, and our mindset shape us. To have a growth mindset, you have to face challenges with a light heart and disregard the possibility failure. Failure is an essential to progression. To have a growth mindset, you always keep in mind that intelligence is something you work on and develop over time. It doesn't come free, but its totally possible with the practice to develop.


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Mortal Kombat: Annihilation A rather lengthy movie review by Josh Hammonds
Josh's Scale o' Cinema: 3 out of 10
Capsule: Not as bad a sequel as Crow 2 or Batman & Robin, but still horribly putrid, cheesy and ill-conceived. This one belongs in Saturday morning cartoons...
 Beautifully choreographed by Robin Shou, who also plays Liu Kang, the fight scenes are both mind-blowing and graceful, acrobatic enough to make Olympic gymnasts weep. This is what made the original so fun, but unfortunately for the sequel, we are without the frenetic directorial style of Paul Anderson. Instead, they got John R. Leonetti, the cinematographer for the original Mortal Kombat. Not a good choice. While the fight scenes are brutal and eye-popping, the rest of the movie looks like standard made for TV fare. The acting is sub-par, which I could endure if it were not for A.) the director's style, B.) the special effects, & C.) the treatment of the story and characters.
A.) Mr. Leonetti should go back to lighting, in my opinion. I could say dozens of bad things about him: he way overuses slow-motion, he has no eye for action, he can't get even mediocre performances out of actors, and so on. But by far his worst move was the way he treated jumping. Apparantly, everybody can now fly. Hell, I'm all for the occaisional gravity defying flip kick and whatnot, but not when it happens every few minutes, and is done so poorly. Better jumping and acrobatics has been seen in Xena: Warrior Princess. In short, they should have gotten Paul Anderson back. Or at least let Robin Shou direct...
B.) Unlike the first one, whose SFX were vibrant and somewhat realistic, MK:A's special effects are bland, fake looking, and overall just plain bad. I counted at least half a dozen times that blue-screening was painfully obvious. Had this movie been made in the 80's, it would have been ground-breaking. But in today's industry, it doesn't even look finished.
C.) Now for the _REALLY_ bad parts. I admit, I'm an avid fan of the Mortal Kombat series. The games are amusing diversions, an easy way to work off stress and anger. The first movie was a mindlessly fun thrillride. This could have been a really cool movie. It isn't. The writers apparantly deemed it necessary to lower the target audience from teens to preschoolers.   Take, for instance, how our heroes move around. They use giants spheres the roll around underground, supposedly at thousands of miles per hour...oh boy...
Even worse is the treatment of secondary characters. Blink and you'll miss 'em. Most characters had more depth in the video games. If you thought Batman & Robin was bad about this, you ain't seen nothin' yet.  There's no explanation at all for this. And for the final blasphemy, the fight that all the fans were waiting rabidly for, the fight hyped to be the most intricate of the movie, lasted about 3 minutes and then just sort of...ended. It almost made me weep.
To sum it all up, rent it on video, and fast-forward through everything except the fight scenes.
Josh Hammonds<EMAIL_ADDRESS>The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
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Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Fugitive arrested in death of man stabbed in northeast Las Vegas
by Glenn PuitA man who is a fugitive from another state has been arrested in the case of a man found stabbed to death a week ago in the far northeast Las Vegas Valley.
Nichollus Jackson, 30, was booked on charges of open murder with use of a deadly weapon and robbery, according to booking logs from the Clark County Detention Center. No details were immediately released by police, but records indicate he was booked in the case of a man found stabbed to death Nov. 21 on the 5000 block of East Craig Road.
The body of Anthony Proudfoot, 35, was found just before 5 p.m. in an apartment near North Nellis Boulevard, according to the Metropolitan Police Department.
The Las Vegas man died of a stab wound to his back and chest, according to the Clark County coroner’s office, which ruled the death a homicide.
Booking records also show Jackson faces an additional count of possession of a credit or debit card without cardholder’s consent and as a fugitive from another state. Available records don’t indicate what state Jackson is from.
Jackson was scheduled for a 48-hour hearing this evening in North Las Vegas Justice Court.


I designed the brand center for business travel brand Egencia. With the help of Morten and Amy, I developed the content hierarchy and layout for the brand center with the objective of increasing internal and external brand consistency while providing employees with useful digital assets.
VISIT SITE →Egencia was undergoing a branding transition when my internship began. Egencia is part of the larger Expedia group and the group’s new logo and messaging were being applied to Egencia's assets, and the introduction of additional colors and a new brand treatment titled “under the wing” demanded a new approach for the brand center.
My role was to create a brand center website that not only reflected the changes to the visual language of the brand, but also served as a hub for useful files and documents, available to designers, marketers, and housing executed designs and mockups provided by external agencies.
There were several relevant stakeholders for the brand center, each with their own unique set of needs and desires. The 5 key stakeholders for the brand center were designers, marketers, sales, external agencies, and the general public.
Some stakeholders needed a more high-level overview of the brand messaging and some needed a quick way to grab a powerpoint template. My design needed to accommodate these all these users.
After getting a sense for what content the brand center would contain, the challenge was in creating an accessible site, where any set of specialized content was available within a few clicks. This necessarily meant prioritizing certain assets over others, namely popular resources like the powerpoint template and critical new content like the “Brand Articulation” section.
The main obstacle I ran into while designing the brand center was the decision whether to funnel different audience groups entering the site or to send all users to the same home page and allow them to navigate to their desired files or information.
The small set of key stakeholders gave us the opportunity to create a more narrowed user experience based on their position within or without Egencia, but after exploring this concept with my team and members of the marketing team, I found that potential users didn’t always know what particular assets they did and didn't need immediately, thus making them decide early in the process to filter their experience wouldn’t be productive.
After working through and ultimately putting aside the concept of separate audience groups, I arranged the brand center’s content for any potential user. Aside from the home page, there are two two pages on the site, titled “Assets” and “Editorial Styles.” Marketers and copywriters are the principal user for the editorial styles and assets are most relevant to designers and agencies.
I created an image-based thumbnail system for home page, making maximal use of existing visual assets. Lastly, I hosted the site on Frontify, a brand management platform, and launched the site publicly at the end of my internship. The decision to make our site publicly available was made after discussion with the heads of marketing. It allowed for more easy access for agencies, and we’d wanted any members of the public (and prospective employees) who were interested in Egencia to be able to read about our positioning and goals.
You can check out the live website here. I valued my time at Egencia a lot. It presented a unique opportunity to work closely with a brand as an intern, and proved daunting but exciting. I learned the inner functionings of a large technology brand, and exposed myself to the complexity which comes with designing for so many platforms, and in so many locales (Egencia is active in 4+ continents).
The creation of this brand center required me to delve deeply into the potential users of the brand center, and to hone my understanding of every one of the diverse components the brand center would house. I learned about marketing and the assets marketers rely on, and designed materials for sales to utilize at trade shows and on the road. The experience was at once broad and immersive, and helped hone my attention to detail and knowledge of digital brands and how to articulate their message.


Web Developer Questions
This project contains a number of problems to test your HTML and Javascript skills.
The rules are simple: you have a text editor, a web browser, and an internet connection. We aren't testing your knowledge of trivia, we're trying to see how you work. If you can't remember what a DOCTYPE declaration looks like, or what jQuery method to call to get the value of an input, Google it.
You can also ask us questions. If these instuctions are unclear, or if you just can't remember the right words for your Google search, ask us like we're a couple of guys sitting next to you at work, not a couple of sacry hiring managers out to shatter your hopes and end your carreer.
You can use whatever tools you're most comfortable with (jQuery, AngularJS, plain old Javascript, et cetera), to solve these problems.
For your reference, you can grab jQuery from:
https://ajax.googleapis.com/ajax/libs/jquery/2.1.4/jquery.min.js
And AngularJS from:
https://ajax.googleapis.com/ajax/libs/angularjs/1.4.2/angular.min.js


Thank you for taking the time to help us improve our menu
Which standard tea do you prefer?
What size drink do you prefer?
What type of drinks do you want to see more of? (Check all that apply)
Any comments or suggestions?


---
layout: post
title: ToxoDB 44 Released
category: [ToxoDB]
---
We are pleased to announce the release of ToxoDB 44
Release 44 Webinar
Join us on Tuesday July 16th at 10:00 am (EST) for our Release 44 Highlights webinar where we will discuss and
demonstrate new features and data available in release 44 of EuPathDB sites.
Register here
Synteny and the Protein Browser are availabe in our beta implementation of the
JBrowse Genome Browser.
New EuPathDB RNA Seq Tool. The EuPathDB Galaxy Workspace now offers a tool that converts
read counts from HTSeq-count output to FPKM values.
New EuPathDB Workflows. The EuPathDB Galaxy Workspace is updated with several new
pre-configured workflows that are designed to allow export of strand specific data
to EuPathDB for visualization and searching.


Video: Tony Adams SLAMS Arsenal defender David Luiz after horror-show vs Southampton
by Mark BrusArsenal legend Tony Adams has hit out at David Luiz’s poor defending in the 2-2 draw against Southampton on Saturday.
The Gunners had a bit of a nightmare at the Emirates Stadium yesterday as they conceded sloppy goals to the Saints, and Adams was not at all impressed.
MORE: Arsenal’s decline since Unai Emery replaced Arsene Wenger illustrated by HUGE change in one key area
Watch the video above as Adams singles out Luiz in particular, who lost Danny Ings on the opening goal for the visitors.
He goes on to ask what on earth the Brazilian was doing, slamming him for not being able to play man-to-man.
Luiz joined Arsenal from rivals Chelsea in the summer but has got off to a poor start for his new club.


A simple label expander and markdown utility
Example use cases:
The supported command line options can be listed using the –help options.
shorthand --help
Source code can be found at github.com/caltechlibrary/shorthand
The project website is caltechlibrary.github.io/shorthand
If the content of the markdown file testdata/report.md was
Report Date: @now
# Topic: The current local time.
This report highlights the current local time of rendering this document
The current local time is @now
From the command line you can do something like this
shorthand -e '@now :bash: date' \
-e "@report :import-text: testdata/report.md" \
-e "@html :markdown: @report" \
-e "@html" \
-e ':exit:' > testdata/report.html
What this command does is launch the shorthand interpreter and it replaces all occurrences of “@now” in the markdown document with the output from the Unix program date.
The output would look something like

Report Date: Sat Aug 29 11:25:48 PDT 2015

Topic: The current local time.

This report highlights the current local time of rendering this document

The current local time is Sat Aug 29 11:25:48 PDT 2015

Notice that both “@now” are replace with the same date information.
You could also embed the shorthand definitions command straight in the markdown itself. with something like
@now :bash: date
Report Date: @now
# Topic: The current local time.
This report highlights the current local time of rendering this document
The current local time is @now
That makes the command line a little shorter
shorthand -markdown testdata/report.md > testdata/report.html
shorthand can be installed with the go get command.
go get github.com/caltechlibrary/shorthand/...


|
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| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object BaseAdapter android.support.v4.widget.CursorAdapter
public abstract class CursorAdapter
Static library support version of the framework's android.widget.CursorAdapter
.
Used to write apps that run on platforms prior to Android 3.0. When running
on Android 3.0 or above, this implementation is still used; it does not try
to switch to the framework's implementation. See the framework SDK
documentation for a class overview.
| Field Summary | |
|---|---|
static int |
FLAG_AUTO_REQUERY
Deprecated. This option is discouraged, as it results in Cursor queries being performed on the application's UI thread and thus can cause poor responsiveness or even Application Not Responding errors. As an alternative, use android.app.LoaderManager with a android.content.CursorLoader . |
static int |
FLAG_REGISTER_CONTENT_OBSERVER
If set the adapter will register a content observer on the cursor and will call onContentChanged() when a notification comes in. |
protected boolean |
mAutoRequery
This field should be made private, so it is hidden from the SDK. |
protected android.support.v4.widget.CursorAdapter.ChangeObserver |
mChangeObserver
This field should be made private, so it is hidden from the SDK. |
protected Context |
mContext
This field should be made private, so it is hidden from the SDK. |
protected Cursor |
mCursor
This field should be made private, so it is hidden from the SDK. |
protected android.support.v4.widget.CursorFilter |
mCursorFilter
This field should be made private, so it is hidden from the SDK. |
protected DataSetObserver |
mDataSetObserver
This field should be made private, so it is hidden from the SDK. |
protected boolean |
mDataValid
This field should be made private, so it is hidden from the SDK. |
protected FilterQueryProvider |
mFilterQueryProvider
This field should be made private, so it is hidden from the SDK. |
protected int |
mRowIDColumn
This field should be made private, so it is hidden from the SDK. |
| Constructor Summary | |
|---|---|
CursorAdapter(Context context,
Cursor c)
Deprecated. This option is discouraged, as it results in Cursor queries being performed on the application's UI thread and thus can cause poor responsiveness or even Application Not Responding errors. As an alternative, use android.app.LoaderManager with a android.content.CursorLoader . |
|
CursorAdapter(Context context,
Cursor c,
boolean autoRequery)
Constructor that allows control over auto-requery. |
|
CursorAdapter(Context context,
Cursor c,
int flags)
Recommended constructor. |
| Method Summary | |
|---|---|
abstract void |
bindView(View view,
Context context,
Cursor cursor)
Bind an existing view to the data pointed to by cursor |
void |
changeCursor(Cursor cursor)
Change the underlying cursor to a new cursor. |
java.lang.CharSequence |
convertToString(Cursor cursor)
Converts the cursor into a CharSequence. |
int |
getCount()
|
Cursor |
getCursor()
Returns the cursor. |
View |
getDropDownView(int position,
View convertView,
ViewGroup parent)
|
Filter |
getFilter()
|
FilterQueryProvider |
getFilterQueryProvider()
Returns the query filter provider used for filtering. |
java.lang.Object |
getItem(int position)
|
long |
getItemId(int position)
|
View |
getView(int position,
View convertView,
ViewGroup parent)
|
boolean |
hasStableIds()
|
protected void |
init(Context context,
Cursor c,
boolean autoRequery)
Deprecated. Don't use this, use the normal constructor. This will be removed in the future. |
View |
newDropDownView(Context context,
Cursor cursor,
ViewGroup parent)
Makes a new drop down view to hold the data pointed to by cursor. |
abstract View |
newView(Context context,
Cursor cursor,
ViewGroup parent)
Makes a new view to hold the data pointed to by cursor. |
protected void |
onContentChanged()
Called when the ContentObserver on the cursor receives a change notification. |
Cursor |
runQueryOnBackgroundThread(java.lang.CharSequence constraint)
Runs a query with the specified constraint. |
void |
setFilterQueryProvider(FilterQueryProvider filterQueryProvider)
Sets the query filter provider used to filter the current Cursor. |
Cursor |
swapCursor(Cursor newCursor)
Swap in a new Cursor, returning the old Cursor. |
| Methods inherited from class java.lang.Object |
|---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Field Detail |
|---|
protected boolean mDataValid
protected boolean mAutoRequery
protected Cursor mCursor
protected Context mContext
protected int mRowIDColumn
protected android.support.v4.widget.CursorAdapter.ChangeObserver mChangeObserver
protected DataSetObserver mDataSetObserver
protected android.support.v4.widget.CursorFilter mCursorFilter
protected FilterQueryProvider mFilterQueryProvider
@Deprecated public static final int FLAG_AUTO_REQUERY
android.app.LoaderManager
with a android.content.CursorLoader
.FLAG_REGISTER_CONTENT_OBSERVER
.
public static final int FLAG_REGISTER_CONTENT_OBSERVER
onContentChanged()
when a notification comes in. Be careful when
using this flag: you will need to unset the current Cursor from the adapter
to avoid leaks due to its registered observers. This flag is not needed
when using a CursorAdapter with a
android.content.CursorLoader
.
| Constructor Detail |
|---|
@Deprecated public CursorAdapter(Context context, Cursor c)
android.app.LoaderManager
with a android.content.CursorLoader
.
c
- The cursor from which to get the data.context
- The contextpublic CursorAdapter(Context context, Cursor c, boolean autoRequery)
CursorAdapter(Context, Cursor, int)
.
When using this constructor, FLAG_REGISTER_CONTENT_OBSERVER
will always be set.
c
- The cursor from which to get the data.context
- The contextautoRequery
- If true the adapter will call requery() on the
cursor whenever it changes so the most recent
data is always displayed. Using true here is discouraged.public CursorAdapter(Context context, Cursor c, int flags)
c
- The cursor from which to get the data.context
- The contextflags
- Flags used to determine the behavior of the adapter; may
be any combination of FLAG_AUTO_REQUERY
and
FLAG_REGISTER_CONTENT_OBSERVER
.| Method Detail |
|---|
@Deprecated protected void init(Context context, Cursor c, boolean autoRequery)
public Cursor getCursor()
public int getCount()
android.widget.ListAdapter#getCount()
public java.lang.Object getItem(int position)
android.widget.ListAdapter#getItem(int)
public long getItemId(int position)
android.widget.ListAdapter#getItemId(int)
public boolean hasStableIds()
public View getView(int position, View convertView, ViewGroup parent)
android.widget.ListAdapter#getView(int, View, ViewGroup)
public View getDropDownView(int position, View convertView, ViewGroup parent)
public abstract View newView(Context context, Cursor cursor, ViewGroup parent)
context
- Interface to application's global informationcursor
- The cursor from which to get the data. The cursor is already
moved to the correct position.parent
- The parent to which the new view is attached to
public View newDropDownView(Context context, Cursor cursor, ViewGroup parent)
context
- Interface to application's global informationcursor
- The cursor from which to get the data. The cursor is already
moved to the correct position.parent
- The parent to which the new view is attached to
public abstract void bindView(View view, Context context, Cursor cursor)
view
- Existing view, returned earlier by newViewcontext
- Interface to application's global informationcursor
- The cursor from which to get the data. The cursor is already
moved to the correct position.public void changeCursor(Cursor cursor)
cursor
- The new cursor to be usedpublic Cursor swapCursor(Cursor newCursor)
changeCursor(Cursor)
, the returned old Cursor is not
closed.
newCursor
- The new cursor to be used.
public java.lang.CharSequence convertToString(Cursor cursor)
Converts the cursor into a CharSequence. Subclasses should override this method to convert their results. The default implementation returns an empty String for null values or the default String representation of the value.
cursor
- the cursor to convert to a CharSequence
public Cursor runQueryOnBackgroundThread(java.lang.CharSequence constraint)
android.widget.FilterQueryProvider
.
If no provider is specified, the current cursor is not filtered and returned.
After this method returns the resulting cursor is passed to changeCursor(Cursor)
and the previous cursor is closed.
This method is always executed on a background thread, not on the
application's main thread (or UI thread.)
Contract: when constraint is null or empty, the original results,
prior to any filtering, must be returned.
constraint
- the constraint with which the query must be filtered
getFilter()
,
getFilterQueryProvider()
,
#setFilterQueryProvider(android.widget.FilterQueryProvider)
public Filter getFilter()
public FilterQueryProvider getFilterQueryProvider()
#setFilterQueryProvider(android.widget.FilterQueryProvider)
,
runQueryOnBackgroundThread(CharSequence)
public void setFilterQueryProvider(FilterQueryProvider filterQueryProvider)
android.widget.FilterQueryProvider#runQuery(CharSequence)
method is invoked when filtering is requested by a client of
this adapter.
filterQueryProvider
- the filter query provider or null to remove itgetFilterQueryProvider()
,
runQueryOnBackgroundThread(CharSequence)
protected void onContentChanged()
ContentObserver
on the cursor receives a change notification.
The default implementation provides the auto-requery logic, but may be overridden by
sub classes.
ContentObserver#onChange(boolean)
|
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| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


Welcome to the Straight client example. Loading this page from the filesystem won't work since ajax-requests cannot be sent to other domains.
Clicking the button below will generate a new address for the order for 1 Satoshi and will subscribe you to the websocket, which will automatically notify you when the money arrive to the address. You don't have to refresh this page.
Use this form to generate a new order:
Gateway id:


Main
About us
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Men`s Clothing
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Contact us
Login
My shopping cart
New Collection Fall/Winter 2018-19
Women`s Clothing
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You sign up simply entering your email
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RedisString
public class RedisString: CustomStringConvertible
A class for working with Redis binary
strings. All data is stored as a UTF-8 string.
-
Initialize a
RedisString
Parameter
Parameter data: A Data struct containing the binary data to be stored in thisRedisString
.Declaration
Swift
public init(_ data: Data)
Parameters
data
A Data struct containing the binary data to be stored in this
RedisString
. -
Initialize a
RedisString
Parameter
Parameter value: A String value to be stored in thisRedisString
in UTF-8 form.Declaration
Swift
public convenience init(_ value: String)
Parameters
value
A String value to be stored in this
RedisString
in UTF-8 form. -
Initialize a
RedisString
Parameter
Parameter value: An Int value to be stored in thisRedisString
in UTF-8 form.Declaration
Swift
public convenience init(_ value: Int)
Parameters
value
An Int value to be stored in this
RedisString
in UTF-8 form. -
Initialize a
RedisString
Parameter
Parameter value: A Double value to be stored in thisRedisString
in UTF-8 form.Declaration
Swift
public convenience init(_ value: Double)
Parameters
value
A Double value to be stored in this
RedisString
in UTF-8 form. -
Get the binary contents of the
RedisString
objectReturns
A Data struct containing the contents of theRedisString
object.Declaration
Swift
public var asData: Data
Return Value
A Data struct containing the contents of the
RedisString
object. -
Get the contents of the
RedisString
object in the form of a StringReturns
The contents of theRedisString
object as a String.Declaration
Swift
public var asString: String
Return Value
The contents of the
RedisString
object as a String. -
Get the contents of the
RedisString
object in the form of an IntReturns
The contents of theRedisString
object as an Int.Declaration
Swift
public var asInteger: Int
Return Value
The contents of the
RedisString
object as an Int. -
Get the contents of the
RedisString
object in the form of a DoubleReturns
The contents of theRedisString
object as a Double.Declaration
Swift
public var asDouble: Double
Return Value
The contents of the
RedisString
object as a Double. -
Get a String form, if possible, of the contents
RedisString
objectReturns
The contents of theRedisString
object as a String, if the contents isn’t UTF-8, an error message is returned.Declaration
Swift
public var description: String
Return Value
The contents of the
RedisString
object as a String, if the contents isn’t UTF-8, an error message is returned.


|
PSEUDO-IRC-SERVER
1.0
Near-IRC server : A simplified IRC server not in accordance with RFC 1459
|
Enumerations | |
| enum | { C_PRIVMSG = 1, C_PUBMSG, C_GWHO, C_CWHO, C_LIST, C_TOPIC, C_KICK, C_BAN, C_OP, C_DEOP = 20, C_JOIN, C_NICK, C_LEAVE, C_UNBAN, C_BANLIST } |
Namespace gathering command codes refering to the commands
| anonymous enum |
| Enumerator | |
|---|---|
| C_PRIVMSG |
Command private message |
| C_PUBMSG |
Command public message |
| C_GWHO |
Command general who |
| C_CWHO |
Command who on a channel |
| C_LIST |
Command list |
| C_TOPIC |
Command topic |
| C_KICK |
Command kick |
| C_BAN |
Command ban |
| C_OP |
Command op |
| C_DEOP |
Command deop |
| C_JOIN |
Command join |
| C_NICK |
Command nick |
| C_LEAVE |
Command leave |
| C_UNBAN |
Command unban |
| C_BANLIST |
Command banlist |


CookieManager
class can be customized, the
CookiePolicy
and the CookieStore
.
CookiePolicy
defines the following pre-defined
policies for accepting cookies:
CookiePolicy.ACCEPT_ORIGINAL_SERVER
only accepts cookies from the original server.
CookiePolicy.ACCEPT_ALL
accepts all cookies.
CookiePolicy.ACCEPT_NONE
accepts no cookies.
shouldAccept
method of
CookiePolicy
. You can then use this CookiePolicy
by passing it to the multi-argument CookieManager
constructor or by calling the setCookiePolicy(cookiePolicy)
method to change an already existing cookie manager.
The following is an example of a cookie policy that rejects cookies from domains that are
on a blacklist, before applying the CookiePolicy.ACCEPT_ORIGINAL_SERVER
policy:
import java.net.*; public class BlacklistCookiePolicy implements CookiePolicy { String[] blacklist; public BlacklistCookiePolicy(String[] list) { blacklist = list; } public boolean shouldAccept(URI uri, HttpCookie cookie) { String host; try { host = InetAddress.getByName(uri.getHost()).getCanonicalHostName(); } catch (UnknownHostException e) { host = uri.getHost(); } for (int i=0; i<blacklist.length; i++) { if (HttpCookie.domainMatches(blacklist[i], host)) { return false; } } return CookiePolicy.ACCEPT_ORIGINAL_SERVER.shouldAccept(uri, cookie); } }
BlacklistCookiePolicy
instance, you pass it an
array of strings representing the domains that you do not want to accept
cookies from. Then, you set this BlacklistCookiePolicy
instance as the
cookie policy for your CookieManager
.
For example:
String[] list = new String[] { ".example.com" }; CookieManager cm = new CookieManager(null, new BlacklistCookiePolicy(list)); CookieHandler.setDefault(cm);
host.example.com domain.example.com
example.com myhost.com myhost.mydomain.com
CookieStore
is an interface that represents a storage area for
cookies. CookieManager
adds the cookies to the CookieStore
for every HTTP response and retrieves cookies from the CookieStore
for every HTTP request.
You can implement this interface to provide your own CookieStore
and pass it to the CookieManager
during creation. You cannot set the
CookieStore
after the CookieManager
instance has been
created. However, you can get a reference to the cookie store by calling
CookieManager.getCookieStore()
. Doing so can be useful as it enables
you to leverage the default in-memory CookieStore
implementation
that is provided by Java SE and complement its functionality.
For example, you might want to create a persistent cookie store that would save cookies so that they can be used even if the Java Virtual Machine is restarted. Your implementation would work similar to the following:
import java.net.*; import java.util.*; public class PersistentCookieStore implements CookieStore, Runnable { CookieStore store; public PersistentCookieStore() { // get the default in memory cookie store store = new CookieManager().getCookieStore(); // todo: read in cookies from persistant storage // and add them store // add a shutdown hook to write out the in memory cookies Runtime.getRuntime().addShutdownHook(new Thread(this)); } public void run() { // todo: write cookies in store to persistent storage } public void add(URI uri, HttpCookie cookie) { store.add(uri, cookie); } public List<HttpCookie> get(URI uri) { return store.get(uri); } public List<HttpCookie> getCookies() { return store.getCookies(); } public List<URI> getURIs() { return store.getURIs(); } public boolean remove(URI uri, HttpCookie cookie) { return store.remove(uri, cookie); } public boolean removeAll() { return store.removeAll(); } }


Message Passing Interface Forum
This document describes the Message-Passing Interface ( MPI) standard, version 3.1. The MPI standard includes point-to-point message-passing, collective communications, group and communicator concepts, process topologies, environmental management, process creation and management, one-sided communications, extended collective operations, external interfaces, I/O, some miscellaneous topics, and a profiling interface. Language bindings for C and Fortran are defined.
Historically, the evolution of the standards is from MPI-1.0 (May 5, 1994) to MPI-1.1 (June 12, 1995) to MPI-1.2 (July 18, 1997), with several clarifications and additions and published as part of the MPI-2 document, to MPI-2.0 (July 18, 1997), with new functionality, to MPI-1.3 (May 30, 2008), combining for historical reasons the documents 1.1 and 1.2 and some errata documents to one combined document, and to MPI-2.1 (June 23, 2008), combining the previous documents. Version MPI-2.2 (September 4, 2009) added additional clarifications and seven new routines. Version MPI-3.0 (September 21, 2012) is an extension of MPI-2.2. This version, MPI-3.1, adds clarifications and minor extensions to MPI-3.0
Comments. Please send comments on MPI to the MPI Forum as follows:
Your comment will be forwarded to MPI Forum committee members for consideration. Messages sent from an unsubscribed e-mail address will not be considered.
Version 3.1: June 4, 2015. This document contains mostly corrections and clarifications to the MPI-3.0 document. The largest change is a correction to the Fortran bindings introduced in MPI-3.0. Additionally, new functions added include routines to manipulate MPI_Aint values in a portable manner, nonblocking collective I/O routines, and routines to get the index value by name for MPI_T performance and control variables.
Version 3.0: September 21, 2012. Coincident with the development of MPI-2.2, the MPI Forum began discussions of a major extension to MPI. This document contains the MPI-3 Standard. This draft version of the MPI-3 standard contains significant extensions to MPI functionality, including nonblocking collectives, new one-sided communication operations, and Fortran 2008 bindings. Unlike MPI-2.2, this standard is considered a major update to the MPI standard. As with previous versions, new features have been adopted only when there were compelling needs for the users. Some features, however, may have more than a minor impact on existing MPI implementations.
Version 2.2: September 4, 2009. This document contains mostly corrections and clarifications to the MPI-2.1 document. A few extensions have been added; however all correct MPI-2.1 programs are correct MPI-2.2 programs. New features were adopted only when there were compelling needs for users, open source implementations, and minor impact on existing MPI implementations.
Version 2.1: June 23, 2008. This document combines the previous documents MPI-1.3 (May 30, 2008) and MPI-2.0 (July 18, 1997). Certain parts of MPI-2.0, such as some sections of Chapter 4, Miscellany, and Chapter 7, Extended Collective Operations, have been merged into the Chapters of MPI-1.3. Additional errata and clarifications collected by the MPI Forum are also included in this document.
Version 1.3: May 30, 2008. This document combines the previous documents MPI-1.1 (June 12, 1995) and the MPI-1.2 Chapter in MPI-2 (July 18, 1997). Additional errata collected by the MPI Forum referring to MPI-1.1 and MPI-1.2 are also included in this document.
Version 2.0: July 18, 1997. Beginning after the release of MPI-1.1, the MPI Forum began meeting to consider corrections and extensions. MPI-2 has been focused on process creation and management, one-sided communications, extended collective communications, external interfaces and parallel I/O. A miscellany chapter discusses items that do not fit elsewhere, in particular language interoperability.
Version 1.2: July 18, 1997. The MPI-2 Forum introduced MPI-1.2 as Chapter 3 in the standard `` MPI-2: Extensions to the Message-Passing Interface'', July 18, 1997. This section contains clarifications and minor corrections to Version 1.1 of the MPI Standard. The only new function in MPI-1.2 is one for identifying to which version of the MPI Standard the implementation conforms. There are small differences between MPI-1 and MPI-1.1. There are very few differences between MPI-1.1 and MPI-1.2, but large differences between MPI-1.2 and MPI-2.
Version 1.1: June, 1995. Beginning in March, 1995, the Message-Passing Interface Forum reconvened to correct errors and make clarifications in the MPI document of May 5, 1994, referred to below as Version 1.0. These discussions resulted in Version 1.1. The changes from Version 1.0 are minor. A version of this document with all changes marked is available.
Version 1.0: May, 1994. The Message-Passing Interface Forum (MPIF), with participation from over 40 organizations, has been meeting since January 1993 to discuss and define a set of library interface standards for message passing. MPIF is not sanctioned or supported by any official standards organization.
The goal of the Message-Passing Interface, simply stated, is to develop a widely used standard for writing message-passing programs. As such the interface should establish a practical, portable, efficient, and flexible standard for message-passing.
This is the final report, Version 1.0, of the Message-Passing Interface Forum. This document contains all the technical features proposed for the interface. This copy of the draft was processed by LaTeX on May 5, 1994.
Acknowledgments
This document is the product of a number of distinct efforts in three distinct phases: one for each of MPI-1, MPI-2, and MPI-3. This section describes these in historical order, starting with MPI-1. Some efforts, particularly parts of MPI-2, had distinct groups of individuals associated with them, and these efforts are detailed separately.
This document represents the work of many people who have served on the MPI Forum. The meetings have been attended by dozens of people from many parts of the world. It is the hard and dedicated work of this group that has led to the MPI standard.
The technical development was carried out by subgroups, whose work was reviewed by the full committee. During the period of development of the Message-Passing Interface ( MPI), many people helped with this effort.
Those who served as primary coordinators in MPI-1.0 and MPI-1.1 are:
| Ed Anderson | Robert Babb | Joe Baron | Eric Barszcz |
| Scott Berryman | Rob Bjornson | Nathan Doss | Anne Elster |
| Jim Feeney | Vince Fernando | Sam Fineberg | Jon Flower |
| Daniel Frye | Ian Glendinning | Adam Greenberg | Robert Harrison |
| Leslie Hart | Tom Haupt | Don Heller | Tom Henderson |
| Alex Ho | C.T. Howard Ho | Gary Howell | John Kapenga |
| James Kohl | Susan Krauss | Bob Leary | Arthur Maccabe |
| Peter Madams | Alan Mainwaring | Oliver McBryan | Phil McKinley |
| Charles Mosher | Dan Nessett | Peter Pacheco | Howard Palmer |
| Paul Pierce | Sanjay Ranka | Peter Rigsbee | Arch Robison |
| Erich Schikuta | Ambuj Singh | Alan Sussman | Robert Tomlinson |
| Robert G. Voigt | Dennis Weeks | Stephen Wheat | Steve Zenith |
The University of Tennessee and Oak Ridge National Laboratory made the draft available by anonymous FTP mail servers and were instrumental in distributing the document.
The work on the MPI-1 standard was supported in part by ARPA and NSF under grant ASC-9310330, the National Science Foundation Science and Technology Center Cooperative Agreement No. CCR-8809615, and by the Commission of the European Community through Esprit project P6643 (PPPE).


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--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/customizing.20tidy.html ---
@Scott Morrison I used your tidy
tactic to automatically generate a bunch of continuity proofs that I was formerly writing out manually like
continuous_subtype_mk _ $ continuous_max (continuous_mul continuous_const (continuous.comp (continuous.comp continuous_fst continuous_subtype_val) continuous_norm)) (continuous_sub continuous_const (continuous.comp continuous_snd continuous_subtype_val))
However, in order to make it run in a reasonable amount of time, I had to create a custom version of tidy
that only uses a small number of the tactics (I don't need anything even as fancy as dsimp
).
Do you have any thoughts about making tidy
easier to customize like this? I see that there's an option for adding tactics to the list that tidy
uses, but to remove tactics I had to copy the definition of tidy
.
Maybe just a matter of making tidy
a bit more modular at the source level
That's a good idea. How about I just pass the list of tactics as a configuration variable, and then in different contexts people can provide a wrapper tactic that installs their preferred list?
Yes, I think that would be simplest.
Maybe I'll rename it generic_tidy
, to allow specialised variants to still be called tidy
. (An alternative would be that specialised variations be called category_tidy
or topology_tidy
, etc.)
Another feature I can imagine wanting is to have separate applicable
and tidy
attributes for different "instances" of tidy
(e.g., I might want my continuity
tactic to only apply the lemmas that prove continuity), but I haven't found just having a single set to be an actual problem yet.
My plan with my Lean time at the moment is to 1) get a PR for a small fraction of my category theory library ready, with no automation, 2) try to get my automation into mathlib, 3) get the rest of the category theory library in, with automation
Okay --- are there parameters for attributes? I haven't really explored this.
I've seen attributes that appear to take arguments
My inclination though is that this can wait, and namespacing is a better solution: just make sure only the things you want to have tidy use are actually in scope.
Also -- a lot of applicable
will be removed after I get to my "use ext
" TODO.
But it will still be needed in places.
Definitely it can wait.
Is applicable
affected by namespacing? I hadn't realized that
I mean, by which namespaces are open; as opposed to just what files have been imported (which is generally "pretty much everything")
Oh, actually you're probably right, and that it ignores namespacing. At some point I'll investigate whether that is good or bad!
Okay, there's a new commit of lean-tidy
, that now allows calling tidy { tactics := [ ... ] }
, to replace my default (carefully curated!) list of tactics.
I'd also be very happy to try to improve my list so it also works on your continuity problems. Having the best possible "out of the box" tidying is nice. :-)
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


I have a huge interest in Travel.
I have only travelled to a few countries but I hope to travel more in the future
I visited England back in 2013 with my Family . We stayed in London for most of the trip.
London was unlink any city I had visited before it was
bustling with people and it was sometimes quite difficult to navigate around.
We did most of the famous tourist attractions of London like riding the
London eye, Seeing Big Ben and Buckingham Palace. I found that travelling by the tube was the easiest way to get around.
I visited the Algarve region of Portugal. I stayed in the coastal city of Albufeira.
Albufeira was a beautiful city. I was very lucky because the hotel I stayed in was close to both the old and new town of Albufeira.
The hotel was not only close to the town but also had it's own pool for the guests.
Albufeira also had beautiful beaches that I often visited.
I visited France in 2015. I stayed in Paris in a cozy apartment.
I found a new love for coffee as there was many quaint cafes scattered around the city.
I saw many of the usual tourist attractions such as the Eiffel Tower and the Louvre but my favourite attraction was mount martre.
The architecture of the city was amazing
I visited Spain in 2017. I stayed in Barcelona in a holiday home near the sea.
I tried loads of local food and I loved the dish called esqueixada de bacallà which is shredded salted cod on bed of tomatoes,
red peppers, onions and olives with an olive oil dressing. The city was really busy but everything is really close. I visited
La Sagrada Familia temple, The Font Mágica Fountain, Picasso Museum, and the Las Ramblas street
I visited Scotland in 2019. I stayed in Edinburgh in a nice hotel in the old town of Edinburgh.
I visited many tourist attractions but my favourite was Edinburgh a Castle, I loved learning the history
of the castle. Walking was the easiest way to get around and it was very easy to navigate around the city.
The city was very beautiful and the people were very nice and friendly


Follow these easy steps to compare different products;
Type the name of the first product inside the search area on your left and 'Enter'.
Follow by typing the name of the second product inside the search area on your right. Click 'Enter'.
Viola! Details of your chosen products should appear in the table provided.


| fmt_date {gt} | R Documentation |
Format input date values that are either of the Date
type, or, are
character-based and expressed according to the ISO 8601 date format
(YYYY-MM-DD
). Once the appropriate data cells are targeted with columns
(and, optionally, rows
), we can simply apply a preset date style to format
the dates. The following date styles are available for simpler formatting of
ISO dates (all using the input date of 2000-02-29
in the example output
dates):
iso: 2000-02-29
wday_month_day_year: Tuesday, February 29, 2000
wd_m_day_year: Tue, Feb 29, 2000
wday_day_month_year: Tuesday 29 February 2000
month_day_year: February 29, 2000
m_day_year: Feb 29, 2000
day_m_year: 29 Feb 2000
day_month_year: 29 February 2000
day_month: 29 February
year: 2000
month: February
day: 29
year.mn.day: 2000/02/29
y.mn.day: 0/02/29
We can use the info_date_style()
function for a useful reference on all of
the possible inputs to date_style
.
fmt_date(data, columns, rows = everything(), date_style = 2)
data |
A table object that is created using the |
columns |
The columns to format. Can either be a series of column names
provided in |
rows |
Optional rows to format. Providing either |
date_style |
The date style to use. Supply a number (from |
Targeting of values is done through columns
and additionally by rows
(if
nothing is provided for rows
then entire columns are selected). A number of
helper functions exist to make targeting more effective. Conditional
formatting is possible by providing a conditional expression to the rows
argument. See the Arguments section for more information on this.
An object of class gt_tbl
.
3-5
Other Format Data:
data_color()
,
fmt_currency()
,
fmt_datetime()
,
fmt_markdown()
,
fmt_missing()
,
fmt_number()
,
fmt_passthrough()
,
fmt_percent()
,
fmt_scientific()
,
fmt_time()
,
fmt()
,
text_transform()
# Use `exibble` to create a gt table; # keep only the `date` and `time` columns; # format the `date` column to have # dates formatted as `month_day_year` # (date style `5`) tab_1 <- exibble %>% dplyr::select(date, time) %>% gt() %>% fmt_date( columns = date, date_style = 5 ) # Use `exibble` to create a gt table; # keep only the `date` and `time` columns; # format the `date` column to have mixed # date formats (dates after April will # be different than the others) tab_2 <- exibble %>% dplyr::select(date, time) %>% gt() %>% fmt_date( columns = date, rows = as.Date(date) > as.Date("2015-04-01"), date_style = 6 ) %>% fmt_date( columns = date, rows = as.Date(date) <= as.Date("2015-04-01"), date_style = 7 )


- Calculate - Class in launchpad_s_plus
-
This class is used:
- to obtain the X or Y position of a pad based on its MIDI note value
- to obtain the MIDI note value of a pad based on its X and Y positions
- to return a random integer based on a min and max values
- Calculate() - Constructor for class launchpad_s_plus.Calculate
-
Unused Constructor
- calculateScore() - Static method in class games.LightsOut
-
Calculates the user's score
- calculateScore() - Method in class games.Snake
-
Calculates the user's score
- canCapture(int, int, int) - Method in class games.Checkers
-
Used to determine whether a player is able to capture something.
- canEat() - Method in class games.Checkers2.CheckerCell
-
- canMove() - Method in class games.Checkers2.CheckerCell
-
- canMoveTo(int, int) - Method in class games.Checkers2.CheckerCell
-
- capture(int, int, int) - Method in class games.Checkers
-
Captures the piece at the position determined by the input parameters
- cardX - Static variable in class gui.Main
-
- cardY - Static variable in class gui.Main
-
- cellColor - Static variable in class games.GameOfLife
-
- cellIntensity - Static variable in class games.GameOfLife
-
- cellNeighbours - Static variable in class games.GameOfLife
-
- cellStatus - Static variable in class games.GameOfLife
-
- changeButton(JLabel, String, String) - Static method in class gui.PianoGUI
-
Updates the Virtual MIDI button
- changeSeed(boolean) - Method in class games.GameOfLife
-
Clears the grid and generates either a random pattern or a known shape
- changingvMIDI - Static variable in class gui.PianoGUI
-
- checkerBoard - Static variable in class games.Checkers2
-
- CheckerCell() - Constructor for class games.Checkers2.CheckerCell
-
- CheckerCell(int, int, int, boolean) - Constructor for class games.Checkers2.CheckerCell
-
- Checkers - Class in games
-
This class implements the game Checkers (also known as Draughts).
- Checkers(boolean) - Constructor for class games.Checkers
-
Used for setting the link to the Observable
- Checkers() - Constructor for class games.Checkers
-
Constructor
- Checkers2 - Class in games
-
This class implements the game Checkers (also known as Draughts).
- Checkers2(boolean) - Constructor for class games.Checkers2
-
Used for setting the link to the Observable
- Checkers2() - Constructor for class games.Checkers2
-
Constructor
- Checkers2.CheckerCell - Class in games
-
- checkersCard - Static variable in class gui.Main
-
- CheckersContainer - Static variable in class gui.CheckersGUI
-
- CheckersDialog - Static variable in class gui.CheckersGUI
-
- CheckersGUI - Class in gui
-
Implements the GUI for Checkers
- CheckersGUI(boolean) - Constructor for class gui.CheckersGUI
-
Constructor for the GUI
- checkersRunning - Static variable in class gui.Main
-
- checkersStatus - Variable in class games.Checkers
-
- checkersWindow - Static variable in class gui.Main
-
- checkForQuit() - Method in class games.Checkers2
-
- checkForReset() - Method in class games.Checkers2
-
- checkInput(int, int) - Method in class games.ReactionGame
-
Checks if the player input was on the block
- checkLaunchpadConnection() - Method in class gui.Main
-
Checks whether the Launchpad S is connected or not
- checkNextMove(int) - Method in class games.Snake
-
Checks whether the snake will hit anything next frame
- checkParticlesAllowed() - Method in class gui.AnimationGUI
-
- checkPlayer(int, int, int) - Method in class games.Checkers
-
Used to check whether the selected pad contains the designated player's
piece
- checkPlayer(int, int, int) - Method in class games.Checkers2
-
- choices - Static variable in class tech_demo.Animation
-
- choicesAvailable() - Static method in class tech_demo.Animation
-
Returns the number of available different programmed animations
- chosen - Static variable in class tech_demo.Animation
-
- clearBlock() - Method in class games.ReactionGame
-
Clears a spawned block
- clearBoard() - Method in class games.LightsOut
-
Clears the board
- clearCells() - Method in class games.GameOfLife
-
Clears all the cells and makes sure none are left alive
- clearPads() - Static method in class launchpad_s_plus.Display
-
Turn off and stop blinking all pads
- clearPads() - Method in class launchpad_s_plus.SetupProcess
-
Turns off every single possibly already lit pad
- clearPressed() - Static method in class launchpad_s_plus.Input
-
Clears the status of the key press map.
- close() - Method in class midiInDump.DumpReceiver
-
- closeLaunchpad() - Static method in class launchpad_s_plus.SetupProcess
-
Closes all connections with the Launchpad and releases it for other
applications that might need to connect to it.
- closeProgram() - Static method in class launchpad_s_plus.Program
-
Closes the connections to the Launchpad S, saves statistics to the
database and exits the program
- closeVirtualMIDI() - Method in class launchpad_s_plus.SetupProcess
-
Closes all connections with the virtual MIDI connection and releases it
for other applications that might need to connect to it.
- closing - Static variable in class gui.Main
-
- col - Variable in class launchpad_s_plus.DisplayBlink
-
- col - Variable in class tech_demo.Line
-
- col - Static variable in class tech_demo.Metronome
-
- col2 - Variable in class launchpad_s_plus.DisplayBlink
-
- col2 - Static variable in class tech_demo.Metronome
-
- col3 - Variable in class launchpad_s_plus.DisplayBlink
-
- color - Static variable in class games.ReactionGame
-
- color - Static variable in class gui.TextScrollGUI
-
- Color - Variable in class launchpad_s_plus.DisplayPad
-
- color - Variable in enum piano.Piano.CONTROLS
-
- color - Static variable in class tech_demo.ScrollingText
-
- color1 - Static variable in class games.Simon
-
- color2 - Static variable in class games.Simon
-
- Color2 - Variable in class launchpad_s_plus.DisplayPad
-
- color3 - Static variable in class games.Simon
-
- color4 - Static variable in class games.Simon
-
- colorBoard() - Method in class games.Checkers
-
Colors the board and sets the initial values on the internal 2D array
- colorBoard() - Method in class games.Checkers2
-
Colors the board and sets the initial values on the internal 2D array
- colorLabel - Static variable in class gui.TextScrollGUI
-
- colorPanel - Static variable in class gui.TextScrollGUI
-
- Colors - Class in launchpad_s_plus
-
This class contains the Launchpad S specific MIDI velocity values used for
output.
- Colors() - Constructor for class launchpad_s_plus.Colors
-
- colorValue(String) - Static method in class launchpad_s_plus.Colors
-
Returns the integer index of the required color
- connectionNotFound() - Method in class gui.Main
-
If no Launchpad S connection is found, will call methods to disable all
cards and display an error
- connectivityCheck(boolean) - Method in class gui.Main
-
Runs a connectivity check to detect whether the launchpad has
disconnected in between programs or not
- continueCapture1(int, int) - Method in class games.Checkers
-
Method called when player 1 can capture multiple another piece
immediately after playing
- continueCapture2(int, int) - Method in class games.Checkers
-
Method called when player 2 can capture multiple another piece
immediately after playing
- controlAnimSpeed - Static variable in class games.Checkers
-
- controlAnimSpeed - Static variable in class games.Checkers2
-
- controlColor - Static variable in class games.LightsOut
-
- controlColor - Variable in class games.Snake
-
- CONTROLS(int, int, String, int) - Constructor for enum piano.Piano.CONTROLS
-
Constructor of the enumerated objects
- convertData(double) - Static method in class gui.StatisticsGUI
-
Converts the given value from Bytes to either B, KB, MB, GB or TB based
on the value
- convertTempo(float) - Static method in class midiInDump.DumpReceiver
-
- correctTurns - Static variable in class games.ReactionGame
-
- createAndShowGUI() - Method in class gui.AnimationGUI
-
Creates the GUI and places GUI elements
- createAndShowGUI() - Static method in class gui.CheckersGUI
-
Creates the GUI and places GUI elements
- createAndShowGUI() - Method in class gui.Error
-
Creates the GUI and places GUI elements
- createAndShowGUI() - Static method in class gui.GameOfLifeGUI
-
Creates the GUI and places GUI elements
- createAndShowGUI() - Static method in class gui.LightsOutGUI
-
Creates the GUI and places GUI elements
- createAndShowGUI() - Method in class gui.PianoGUI
-
Creates the GUI layout
- createAndShowGUI() - Static method in class gui.ReactionGameGUI
-
Creates the GUI and places GUI elements
- createAndShowGUI() - Method in class gui.ReactiveDemoGUI
-
Creates the GUI layout
- createAndShowGUI() - Static method in class gui.SimonGUI
-
Creates the GUI and places GUI elements
- createAndShowGUI() - Static method in class gui.SnakeGUI
-
Creates the GUI and places GUI elements
- createAndShowGUI() - Method in class gui.StatisticsGUI
-
Creates the GUI and places GUI elements
- createAndShowGUI() - Static method in class gui.TextScrollGUI
-
Creates the GUI and places GUI elements
- createNewDatabase() - Static method in class database.Database
-
Generates a new database file.
- currentAnim - Static variable in class gui.AnimationGUI
-
- currentAnim - Static variable in class gui.ReactiveDemoGUI
-
- currentAnimationParticlesDescription - Static variable in class gui.AnimationGUI
-
- currentAnimationParticlesPanel - Static variable in class gui.AnimationGUI
-
- currentAnimations - Static variable in class gui.StatisticsGUI
-
- currentAnimText - Static variable in class gui.AnimationGUI
-
- currentAnimText - Static variable in class gui.ReactiveDemoGUI
-
- currentDemos - Static variable in class gui.StatisticsGUI
-
- currentDifficulty - Static variable in class gui.LightsOutGUI
-
- currentLit - Static variable in class gui.StatisticsGUI
-
- currentlyRunning - Static variable in class gui.Main
-
- currentParticles - Static variable in class gui.AnimationGUI
-
- currentPlayed - Static variable in class gui.StatisticsGUI
-
- currentPressed - Static variable in class gui.StatisticsGUI
-
- currentReceived - Static variable in class gui.StatisticsGUI
-
- currentRunningPanel - Static variable in class gui.Main
-
- currentSent - Static variable in class gui.StatisticsGUI
-
- currentSessionDetailsPanel - Static variable in class gui.StatisticsGUI
-
- currentSessionPanel - Static variable in class gui.StatisticsGUI
-
- currentSessionTitlePanel - Static variable in class gui.StatisticsGUI
-
- currentTurn - Static variable in class games.ReactionGame
-


{% extends 'index.html' %} {% load static %} {% block content %}
Password has been changed! Now you may login with new credentials.


This is web page stuff
Find a link to useful javascript web pages
1.
Javascript basics
br>
list of foods
KD
steak
A
B
1
2
stuff here
photo of animals
Tiger


Dashboard
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| Property Getters/Setters Summary | ||
|---|---|---|
function | getCalculatedValue() | |
|
Gets the newly calculated value of the cell.
Should be used only in |
||
function | getOriginalValue() | |
|
Gets the old value of the calculated cell.
Should be used only in |
||
function | getValueChanged() | |
|
Whether the cell's value has been changed after the calculation.
Should be used only in |
| Method Summary | ||
|---|---|---|
function | afterCalculate(sheetIndex, rowIndex, colIndex) | |
| Implement this method to do business after one cell has been calculated. | ||
function | beforeCalculate(sheetIndex, rowIndex, colIndex) | |
| Implement this method to do business before calculating one cell. |
| Property Getters/Setters Detail |
|---|
getOriginalValue : Object | |
function getOriginalValue() |
getValueChanged : boolean | |
function getValueChanged() |
getCalculatedValue : Object | |
function getCalculatedValue() |
| Method Detail |
|---|
beforeCalculate | |
function beforeCalculate(sheetIndex, rowIndex, colIndex) |
sheetIndex: Number
- Index of the sheet that the cell belongs to.rowIndex: Number
- Row index of the cellcolIndex: Number
- Column index of the cellafterCalculate | |
function afterCalculate(sheetIndex, rowIndex, colIndex) |
sheetIndex: Number
- Index of the sheet that the cell belongs to.rowIndex: Number
- Row index of the cellcolIndex: Number
- Column index of the cell


This demo showcases the qooxdoo REST wrapper with the aid of the GitHub OAuth2 implementation and the GitHub Gists API. The requirements to run it is that you have a GitHub account with gists associated with it.
This demo is not expected to run in the context of the demo browser because it needs a backend component (a php file). For a working example, please open the hosted REST demo application. You will be asked to login to GitHub (if not already logged in) and grant the "qx-gists" application access to your public gists.
The GitHub demo application is included in the SDK (under /application/github). Please see the comments in the index.php file to customize it to your environment.


Our contact details
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For all matters regarding your data please contact our Data protection officer Simon Weatherall using the above details or by clicking contact us below
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| Your Name | Collected on our website, from your organisation, using a survey form or if you provide it to us via email or other means. | To provide you with our services and to communicate with you |
| Email address and contact information to contact you or a member of your family or send you marketing information | Collected on our website, from your organisation, using a survey form or if you provide it to us via email or other means. | To provide you information about our services or to use emergencies |
| Health Information such as your heart rate | Collected on our website, from your organisation, using a health survey form or if you provide it to us via email or other means. | To use during our Data analysis |
| Location information | - | To use during our Data analysis, marketing and for safety |
| Survey and interaction data | Collected on our website, from your organisation, using a survey form or if you provide it to us via email, from third party technology organisations such as Linkedin or other means. | To use during our Data analysis and for marketing purposes |
| Financial Information | If you provide it to us via email or other means | To use for business services we provide |
| Website, mobile application, wearable technology interaction and click data, plus user stats | Using online platforms owned or managed by us or social media and online platforms | To use during our Data analysis and for marketing purposes |
| Google analytics information | From google analytics | To use during our Data analysis and for marketing purposes |
| Video, sound and image information | When we provide you a service, During our Mountain experiences or during Data analysis | To use during our Data analysis and for marketing purposes |
| Online search preference information and third part platform information | From 3rd party technology provider services such as Linkedin, Twitter and Facebook | To use during our Data analysis and for marketing purposes |
We also receive personal information indirectly, from the following sources in the following scenarios
Website interaction data and social media and online platforms managed by us or our providers
Under the General Data Protection Regulation (GDPR), the lawful bases we rely on for processing this information are:
(a) Your consent. You are able to remove your consent at any time. You can do this by contacting
Simon Weatherall
Limitless Mountains,
4 Granary House,
Micheldever Station,
Winchester,
Hampshire
SO21 3FD
<EMAIL_ADDRESS>www.limitlessmountains.com
Telephone:<PHONE_NUMBER>4
(b) We have a contractual obligation.
(c) We have a legal obligation.
(d) We have a legitimate interest.
What we do with the information
It may be that some of the personal information you give us (for example, about your health and age) is sensitive personal data.
Such information ("sensitive information") will only be disclosed with your express consent.
It may be that you provide us details of credit or debit cards or bank accounts in making payment to us. Any such information
(confidential financial information) will be used to pay for your services with Limitless Mountains and Limitless AI.
We may use personal information collected about you to help us develop the layout of our website to ensure that our site is as
useful and enjoyable as possible.
We may use your survey data, digital and physical interaction data, website click data, feedback regarding you team, your fitness levels and location information for Machine learning and AI analysis to provide you or your organisation with anonymous
feedback and for Limitless Mountains / Limitless AI marketing purposes.
We may use personal information collected about you to let you know about functions on our Web site or changes to our terms
and conditions of use.
We may provide aggregate statistics about sales, customers, traffic patterns and information to third parties, but these statistics
will not include any information that identifies you.
We may share your information with third party service providers such as Facebook, Google, LinkedIn or third party providers
acting on our behalf.
Disclosure policy
We do not store or disclose any financial information given by our customers.
How do we protect your information?
We have strict security procedures covering the storage of your information in order to prevent unauthorised access. This means that sometimes we may ask you for proof of identity or for other personal information before we can process your call or enquiry further.
How we store your information?
Your information is securely stored on Google servers and Github.
We keep information we have related to you so we can provide you with our services for a period of 5 years from your last interaction with us unless specified specifically below. We will then dispose your information by by delating the information you provided to us in its original form from our servers.
| Data Type | Duration | How its deleted |
|---|---|---|
| Your Name | 5 years from your last interaction with us | Deleted from our servers |
| Email address and contact information to contact you or a member of your family or send you marketing information | 5 years from your last interaction with us | Deleted from our servers |
| Health Information such as your heart rate | 5 years from your last interaction with us | Deleted from our servers |
| Location information | 5 years from your last interaction with us | Deleted from our servers |
| Survey and interaction data | 5 years from your last interaction with us | Anoymised with personal identification information deleted from our servers |
| Financial Information | 5 years from your last interaction with us | Deleted from our servers |
| Website, mobile application, wearable technology interaction and click data, plus user stats | 5 years from your last interaction with us | Anoymised with personal identification information deleted from our servers |
| Google analytics information | 5 years from your last interaction with us | Anoymised with personal identification information deleted from our servers |
| Video, sound and image information | 5 years if this information is not being used for marketing purposes | Deleted from our servers or 3rd party providers |
| Online search preference information and third part platform information | 5 years from your last interaction with us | Anoymised with personal identification information deleted from our servers |
Your data protection rights
Under data protection law, you have rights including:
Your right of access - You have the right to ask us for copies of your personal information.
Your right to rectification - You have the right to ask us to rectify information you think is inaccurate. You also have the right to ask us to complete information you think is incomplete.
Your right to erasure - You have the right to ask us to erase your personal information in certain circumstances.
Your right to restriction of processing - You have the right to ask us to restrict the processing of your information in certain circumstances.
Your right to object to processing - You have the the right to object to the processing of your personal data in certain circumstances.
Your right to data portability - You have the right to ask that we transfer the information you gave us to another organisation, or to you, in certain circumstances.
You are not required to pay any charge for exercising your rights. If you make a request, we have one month to respond to you.
Please contact us at<EMAIL_ADDRESS>if you wish to make a request.
How to complain
You can also complain to the ICO if you are unhappy with how we have used your data.
The ICO’s address:
Information Commissioner’s Office
Wycliffe House
Water Lane
Wilmslow
Cheshire
SK9 5AF
Helpline number: 0303 123 1113