What is LyteBox?
Lytebox is a free, downloadable library and content viewer by Marcus Hay. Check it out at lytebox.com. Using Lytebox, you can easily:
- Display images and slideshows (think Facebook or Google+ photos)
- Show information on mouseover
- Display web content in a nice viewing frame without leaving the page
Examples

Check out the latest XKCD comic .


Trade your asset with users all over the world in the build-in OTC and exchange(3rd party services).
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Contents
Changelog:
- 19 April 2018: Add note that
extract
functions require their second argument to be a constant. </small>
Introduction
This semester we are experimenting with having students use SIMD (single instruction multiple data) instructions in several assignments. These are sets of instructions that operate on wide registers called vectors. For our assignments, these vectors will be 128 bits wide. Typically, instructions that act on these wide registers will treat it as an array of values. They will then perform operations independently on each value in the array. In hardware, this can be implemented by having multiple ALUs that work in parallel. As a result, although these instructions perform many times more arithmetic than “normal” instructions, they can be as fast as the normal instructions.
Generally, we will be accessing these instructions using “intrinsic functions”. These functions usually correspond directly to a particular assembly instruction. This will allow us to write C code that accesses this special functionality consistently without losing all the benefits of having a C compiler.
Intrinsics reference
The intrinsic functions we will be using are an interface defined by Intel. Consequently, Intel’s documentation, which can be found here is the comprehensive reference for these functions. Note that this documentation includes functions corresponding to instructions which are not supported on lab machines. To avoid seeing these be sure to check only the boxes labelled “SSE” through “SSE4.2” on the side.
Header files
To use the intrinsic functions, you need to include the appropriate header file. For the intrinsics we will be using this is:
#include <immintrin.h>
Representing vectors in C
To represent 128-bit values that might be stored in one of these registers in C, we will use one of the following types:
__m128
(for four floats)__m128d
(for two doubles)__m128i
(for integers, no matter the size)
Since each of these is just a 128-bit value, you can cast between these types if a function you want to use expects the “wrong” type of value. For example, you might want to use a function meant to load floating values to load integers. Internally, the functions that expect these types just manipulate 128-bit values in registers or memory.
Setting and extracting values
If you want to load a constant in a 128-bit value, you need to use one of the intrinisc functions.
Most easily, you can use one of the functions whose name starts with _mm_setr
. For example:
__m128i values = _mm_setr_epi32(0x1234, 0x2345, 0x3456, 0x4567);
makes values
contain 4 32-bit integers, 0x10
, 0x20
, 0x30
, and 0x40
. We can then extract
each of these integers by doing something like:
int first_value = _mm_extract_epi32(values, 0);
// first_value == 0x1234
int second_value = _mm_extract_epi32(values, 1);
// second_value == 0x2345
Note that one may only pass constant indices to the second argument of
_mm_extract_epi32
and similar functions.
Loading and storing values
To load an array of values from memory or store an array of values to memory, we can use
the intrinsics starting with _mm_loadu
or _mm_storeu
:
int arrayA[4];
_mm_storeu_si128((__m128i*) arrayA, values);
// arrayA[0] == 0x1234
// arrayA[1] == 0x2345
// ...
int arrayB[4] = {10, 20, 30, 40};
values = _mm_loadu_si128((__m128i*) arrayB);
// 10 == arrayB[0] == _mm_extract_epi32(values, 0)
// 20 == arrayB[1] == _mm_extract_epi32(values, 1)
// ...
Arithmetic
To actually perform arithmetic on values, there are functions for each of the supported mathematical operations. For example:
__m128i first_values = _mm_setr_epi32(10, 20, 30, 40);
__m128i second_values = _mm_setr_epi32( 5, 6, 7, 8);
__m128i result_values = _mm_add_epi32(first_values, second_values);
// _mm_extract_epi32(result_values, 0) == 15
// _mm_extract_epi32(result_values, 1) == 26
// _mm_extract_epi32(result_values, 2) == 37
// _mm_extract_epi32(result_values, 3) == 48
Different types of values in vectors
The examples treat the 128-bit values as an array of 4 32-bit integers. There are instructions that treat in many different types of values, including other sized integers or floating point numbers. You can usually tell which type is expected by the presence of a something indicating the type of value in the function names. For example, “epi32” represents “4 32-bit values”. (The name stands for “extended packed integers, 32-bit”.) Some other conventions in names you will see:
si128
– signed 128-bit integerepi8
,epi32
,epi64
— 16 signed 8-bit integers or 4 signed 32-bit integers or 2 64-bit integersepu8
— 16 unsigned 8-bit integers (when there is a difference between what an operation would do with signed and unsigned numbers, such as with conversion to a larger integer or multiplication)epu16
,epu32
— 8 unsigned 16-bit integers or 4 unsigned 32-bit integers (when the operation would be different than signed)ps
— “packed single” — 4 single-precision floatspd
— “packed double” — 2 doublesss
— one float (only 32-bits of a 128-bit value are used)sd
— one double (only 64-bits of a 128-bit value are used)
Example (in C)
The following two C functions are equivalent
int add_no_SSE(int size, int *first_array, int *second_array) {
for (int i = 0; i < size; ++i) {
first_array[i] += second_array[i];
}
}
int add_SSE(int size, int *first_array, int *second_array) {
int i = 0;
for (; i + 4 <= size; ++i) {
// load 128-bit chunks of each array
__m128i first_values = _mm_loadu_si128((__m128i*) &first_array[i]);
__m128i second_values = _mm_loadu_si128((__m128i*) &second_array[i]);
// add each pair of 32-bit integers in the 128-bit chunks
first_values = _mm_add_epi32(first_values, second_values);
// store 128-bit chunk to first array
_mm_storeu_si128((__m128i*) &first_array[i], first_values);
}
// handle left-over
for (; i < size; ++i) {
first_array[i] += second_array[i];
}
}
Selected handy intrinsic functions:
Arithmetic
_mm_add_epi32(a, b)
— treats its__m128i
arguments as 8 32-bit integers. Ifa
contains the 32-bit integersa0, a1, a2, a3
andb
containsb0, b1, b2, b3
, returnsa0 + b0, a1 + b1, a2 + b2, a3 + b3
. (Corresponds to thepaddd
instruction.)_mm_add_epi16(a, b)
— Same as_mm_add_epi32
but with 16-bit integers. Ifa
contains the 16-bit integersa0, a1, ..., a7
andb
containsb1, b2, ..., b7
, returnsa0 + b0, a1 + b1, ..., a7 + b7
. (Corresponds to thepaddw
instruction.)_mm_add_epi8(a, b)
— Same as_mm_add_epi32
but with 8-bit integers._mm_mullo_epi16(x, y)
: treats x and y as a vector of 16-bit signed integers, multiplies each pair of integers, and truncates the results to 16 bits._mm_mulhi_epi16(x, y)
: treats x and y as a vector of 16-bit signed integers, multiplies each pair of integers to get a 32-bit integer, then returns the top 16 bits of each 32-bit integer result._mm_srli_epi16(x, N)
: treatx
and a vector of 16-bit signed integers, and return the result of logically shifting each right byN
. (There is also aepi32
andepi64
variant for 32 or 64-bit integers.)_mm_slli_epi16(x, N)
: treatx
and a vector of 16-bit signed integers, and return the result of shifting each left byN
. (There is also aepi32
andepi64
variant for 32 or 64-bit integers.)_mm_hadd_epi16(a, b)
— (“horizontal add”) treats its__m128i
arguments as vectors of 16-bit integers. Ifa
containsa0, a1, a2, a3, ..., a7
andb
containsb0, b1, b2, b3, ..., b7
, returnsa0 + a1, a2 + a3, a4 + a5, a6 + a7, b0 + b1, b2 + b3, b4 + b5, b6 + b7
. Note that this is often substantially slower than_mm_add_epi16
. (Corresponds to thephaddw
instruction.)
Load/Store
-
_mm_loadu_si128
,_mm_storeu_si128
— load 128 bits to or from memory. (Corresponds to themovdqu
instruciton.) Note that you can use_mm_storeu_si128
to store into a temporary array as in:unsigned short values_as_array[8]; __m128i values_as_vector; _mm_storeu_si128((__m128i*) &values_as_array[0], values_as_vector);
-
_mm_storel_epi64
— store the first 64-bits of a vector in memory. Example usage:unsigned short first_four_values_as_array[4]; __m128i values_as_vector; _mm_store_epi64((__m128i*) &values_as_array[0], values_as_vector);
(Although this takes a poiner to
__m128i
, a 128-bit value, it only writes 64 bits.) -
_mm_store_ss
— store the first 32-bits of a vector in memory. The function prototype assumes that you are dealing with floats, so it expects a float pointer and a__m128
representing the vector. But the instruction generated doesn’t care what the bits of the vector represent. Example usage:unsigned short first_two_values_as_array[2]; __m128i values_as_vector; _mm_store_ss((float*) &values_as_array[0], (__m128) values_as_vector);
Set constants
-
_mm_setr_epi32
— returns a__m128i
value containing the specified 32-bit integers. The first integer argument will be in the part of the__m128i
that has the lowest address when written to memory. For example:__m128i value1 = _mm_setr_epi16(0, 1, 2, 3);
produces the same result in
value1
as invalue2
inint array[8] = {0, 1, 2, 3}; __m128i value2 = _mm_loadu_si128((__m128i*) &array[0]);
-
_mm_setr_epi16
— same as_mm_setr_epi32
but with 16-bit integers. For example:__m128i value1 = _mm_setr_epi16(0, 1, 2, 3, 4, 5, 6, 7);
produces the same result in
value1
as invalue2
inshort array[8] = {0, 1, 2, 3, 4, 5, 6, 7}; __m128i value2 = _mm_loadu_si128((__m128i*) &array[0]);
-
_mm_setr_epi8
— same as_mm_setr_epi32
but with 8-bit integers. -
_mm_set1_epi32
,_mm_set1_epi16
,_mm_set1_epi8
— return a__m128i
value representing an array of values of the appropriate size, where each element of the array has the same value. For example:__m128i value = _mm_set1_epi16(42);
has the same effect as:
__m128i value = _mm_setr_epi16(42, 42, 42, 42, 42, 42, 42, 42);
-
_mm_set_epi8
, etc. — same as_mm_setr_epi8
, etc. but takes its arguments in reverse order
Extract parts of values
_mm_extract_epi32(a, index)
extracts theindex
‘th 32-bit integer froma
. The integer with index 0 is the one that will be stored at the lowest memory address ifa
is copied to memory. (Corresponds to thepextrd
instruction.)index
must be a constant._mm_extract_epi16(a, index)
is same as_mm_extract_epi32
but with 16-bit integers_mm_cvtsi128_si32(a)
has the same effect as_mm_extract_epi32(a, 0)
, but might be faster.
Convert between types of values
-
_mm_cvtepu8_epi16(eight_bit_numbers)
: converts the first 8 of 16 8-bit unsigned integers into a vector of 8 16-bit signed integers. For example:__m128i value1 = _mm_setr_epi8(10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 110, 120, 130, 140, 150); __m128i value2 = _mm_cvtepu8_epi16(value1);
results in value2 containing the same value as if we did:
__m128i value2 = _mm_setr_epi16(10, 20, 30, 40, 50, 60, 70, 80);
Rearrange 128-bit values
_mm_shuffle_epi8(a, mask)
rearrange the bytes ofa
according tomask
and return the result.mask
is a vector of 8-bit integers (type__m128i
) that indicates how to rearrange each byte:- if a byte in the mask has the high bit set (is greater than 127), then the corresponding byte of the output is 0;
- otherwise, the byte number specified in the input is copied to the corresponding byte of the output. Bytes are numbered using 0 to represent the byte that would be stored in the lowest address if the vector were copied to memory.
For example:
__m128i value1 = _mm_setr_epi8(10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 110, 120, 130, 140, 150, 160); __m128i mask = _mm_setr_epi8(0x80, 0x80, 0x80, 5, 4, 3, 0x80, 7, 6, 0x80, 0x80, 0x80, 0x80, 0x80, 0x80, 0x80); __m128i value2 = _mm_shuffle_epi8(value1, mask);
should produce the same result as:
__m128i value2 = _mm_setr_epi8(0, 0, 0, 60, 50, 40, 0, 80, 70, 0, 0, 0, 0, 0, 0, 0, 0); /* e.g. since 3rd element of mask is 5, 3rd element of output is 60, element 5 of the input */
Example (assembly instruction)
The instruction
paddd %xmm0, %xmm1
takes in two 128-bit values, one in the register %xmm0
, and another in the register %xmm1
. Each
of these registers are treated as an array of two 64-bit values. Each pair of 64-bit values is added
together, and the results are stored in %xmm1
.
For example, if %xmm0
contains the 128-bit value (written in hexadecimal):
0x0000 0000 0000 0001 FFFF FFFF FFFF FFFF
and %xmm1
contains the 128-bit value (written in hexadecimal):
0xFFFF FFFF FFFF FFFE 0000 0000 0000 0003
Then %xmm0
would be treated as containing the numbers 1
and -1
(or 0xFFFFFFFFFFFFFFFF
), and
%xmm1
as containing the numbers -2
and 3
. paddd
would add 1
and -2 to produce -1 and
-1 and
3 to produce 2, so the final value of
%xmm1` would be:
0xFFFF FFFF FFFF FFFF 0000 0000 0000 0002
If we interpret this value as an array of two 64-bit integers, then that would be -1
and 2
.


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Suraj Roy


#include <db_cxx.h>int Db::close(u_int32_t flags);
The Db::close method flushes any cached database information to disk, closes any open cursors, frees any allocated resources, and closes any underlying files. Since key/data pairs are cached in memory, failing to sync the file with the Db::close or Db::sync method may result in inconsistent or lost information.
The flags parameter must be set to 0 or the following value:
The DB_NOSYNC flag is a dangerous option. It should only be set if the application is doing logging (with transactions) so that the database is recoverable after a system or application crash, or if the database is always generated from scratch after any system or application crash.
It is important to understand that flushing cached information to disk only minimizes the window of opportunity for corrupted data. While unlikely, it is possible for database corruption to happen if a system or application crash occurs while writing data to the database. To ensure that database corruption never occurs, applications must either: use transactions and logging with automatic recovery, use logging and application-specific recovery, or edit a copy of the database, and, once all applications using the database have successfully called Db::close, atomically replace the original database with the updated copy.
When multiple threads are using the Berkeley DB handle concurrently, only a single thread may call the Db::close method.
Once Db::close has been called, regardless of its return, the Berkeley DB handle may not be used again.
The Db::close method either returns errno or throws an exception that encapsulates an errno on failure, and 0 on success.
The Db::close method may fail and throw an exception for any of the errors specified for the following Berkeley DB and C library functions: Db::sync, DBcursor->c_close(3), dbc->c_am_destroy(3), dbm_close, dbp->am_close(3), fflush(3), fprintf(3), free(3), DbLog::db_unregister, DbMpool::close, DbMpoolFile::close, DbMpoolFile::sync, memset(3), vfprintf(3), and vsnprintf(3).


This sample demonstrates an ability to append and prepend new items to the initial data set via adapter. New appended and prepended items have to be synced with the real data source. For this purpose a special Server module was implemented to emulate the remote. The Server hides all indices magic, so the front-end controller logic (ui-scroll datasource implementation) looks very simple.
Two methods are implemented on the controller's scope: prepend and append. They work with two Server methods: prependItem and appendItem. The additional point is that new items would not be appended to the viewport if the EOF (end of file) is not reached. Also new items would not be prepended to the viewport if the BOF (begin of file) is not reached.
For more complex and powerful sample you may follow this demo.


Felipe Escobar Avila
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Contact
Felipe Escobar Avila
Want to contact me?
Send me an e-mail to:
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Add New Object:
Camera Settings:
Field Of View:
World Settings:
Render Settings:
View Scene Objects:
You don't have any objects in the scene yet.
Transform Settings: (X - Y - Z)
Edit Material Properties:
Apply Modifier: (To selected object)
Edit Mode:
Delete An Object:


Grace Millane 'may not have resisted being strangled to death due to boozy date'
Brit backpacker Grace Millane drank so much alcohol on the Tinder date that she may not have fought for breath while being choked, a court in New Zealand has heard
by Matthew Dresch, Stephen D'Antal, https://www.mirror.co.uk/authors/matthew-dresch/British backpacker Grace Millane's may not have resisted being strangled to death because of the amount of alcohol she had drank, a court heard.
A 27-year-old man is currently on trial for murdering the traveller after a Tinder date, although he claims she died by accident during rough sex.
Grace, 22, drank so much during their date that her heart may have gone into a “terminal tailspin” when she was choked during sex, Auckland High Court heard today.
Renowned pathologist Dr Fintan Garavan, appearing as an expert defence witness, told the jury a combination of obstruction of the bloodflow, pressure on her nervous system and the British backpacker being drunk meant she might have died quickly.
There were no signs of her having struggled and her plight “would not be obvious to a person nearby unless you know what you are looking for,” said Dr Garavan.
Defence barrister Ian Brookie said Grace, a university graduate from Wickford in Essex, had drunk four mango cocktails, one tequila shot, two whisky cocktails herself and shared three half litre jugs of margaritas and sangria with her alleged killer during their night out.
Dr Garavan said the alcohol, in conjunction with the choking, was “an iceberg making its way into the shipping lane.”
“It very likely has become an important indirect player in causing death,” he said, explaining that being drunk could turn off a “safety valve” which would normally trigger someone to fight for breath.
Dr Garavan, who examined hundreds of photographs of Grace’s body, agreed the primary cause of death was asphyxiation, which he said would have required just one kilogram of pressure.
But he said the absence of deeper haemorrhages in the neck muscles, fractures or scratches to the skin “would favour consensual” choking.
“All those factors together could explain how this young lady has passed,” he said, saying there may have been few outward signs. “If a person is affected in this way they may just stop moving, become unresponsive.”
Under cross-examination, Dr Garavan agreed that once that happened, the hold on their neck would have continue for several minutes before death occurred.
“You would expect a sober person would notice something but necessarily a drunk person,” he said.
Earlier today the court heard that Grace was a member of two BDSM dating websites and was on one of them just an hour before she met the defendant for their date.
Prosecutors claim the accused deliberately killed the Brit before stuffing her body into a suitcase and burying it in a shallow grave in bushland outside Auckland, New Zealand.
The defendant's lawyer said his client disposed of Grace's body in a panic after finding her dead in his room, however he denies deliberately killing her in December last year.
The trial continues.


VIA Service Connector Application Details
Requesting Application Code
Consuming Application Token
Consuming Application Password


NOTE: Work in progress, needs more testing before merging.
This is a port of this from the Hush codebase. I had to make some manual changes in fetch-params, which is different since Hush does not download any sprout files.
With this change, every KMD asset chain full node no longer must download 700MB file it does not use. This greatly benefits people with slow/expensive internet and mobile use cases.
There is no way to accomplish this task without modifying Rust code in librustzcash...


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I am a web developer with more than ten years of experience creating attractive and easy-to-use applications. My experience in systems administration means that I can design and debug an application from top to bottom and deploy it on local hardware or in the cloud.
{{ experience.description }}
The tools we use to create on the web change constantly. I'm adaptable, and this is only what I've used during my career so far.


Toshiba posts ¥145 billion net loss in first half of fiscal year
Toshiba Corp. reported a net loss Wednesday of ¥145.15 billion ($1.3 billion) for the April-September period, due in part to taking a loss on the sale of a U.S. liquefied natural gas operation.
The company’s net loss compares with a profit of ¥1.08 trillion reported for the same time period a year earlier, when it booked a profit from the sale of a chip unit.
For the first six months of the current fiscal year, the technology conglomerate said its operating profit came to ¥52.05 billion, up from ¥6.98 billion the year before, on sales of ¥1.71 trillion, down 3.7 percent.
The company is continuing its reform efforts following the bankruptcy of its U.S. nuclear power subsidiary in 2017.
For the year through next March, Toshiba maintained its profit guidance, with expectations for annual operating profit to nearly quadruple to ¥140 billion. As for sales, it raised its previous estimate of ¥3.40 trillion to ¥3.44 trillion.
The company did not provide a net profit forecast, citing difficulty in assessing the earnings of an affiliated chip company, Kioxia Holdings Corp., formerly known as Toshiba Memory Holdings Corp., in which Toshiba has a 40.2 percent voting right.
Toshiba sold Toshiba Memory to an international consortium of U.S. private equity firm Bain Capital and South Korean chipmaker SK Hynix Inc. in June last year and reinvested about ¥350 billion in the chip firm.
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The following code was used to create all of the components used in the demo. Some of the components use the modal-inset-panel
as an alternative means to picking data, so some will require the appropriate templates and controllers for the panel content
as well. See the Inset Panels section for the panel code.


PixelFix
Find:
Find Pixel Problems By Slowly Cycling Through Colors.
Fix:
Fix Pixel Problems By Quickly Exercising The Pixels.


Message here!
Open this page with Notepad, and update the CSS link to:
If you expect a more feature-rich version of the tabber, you can use the advanced version of the script,


Overview of course material: Data Analysis and Machine Learning
Morten Hjorth-Jensen [1, 2]
[1] Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University, USA
[2] Department of Physics, University of Oslo, Norway
The teaching material is produced in various formats for printing and on-screen reading.
Warning.
The PDF files are based on LaTeX and have seldom technical
failures that cannot be easily corrected.
The HTML-based files, called "HTML" and "ipynb" below, apply MathJax
for rendering LaTeX formulas and sometimes this technology gives rise
to unexpected failures (e.g.,
incorrect rendering in a web page despite correct LaTeX syntax in the
formula). Consult the corresponding PDF
files if you find missing or incorrectly rendered
formulas in HTML or ipython notebook files.
Introduction to Data Analysis and Machine Learning
- LaTeX PDF:
- HTML:
- iPython notebook:
Getting started with Machine Learning
- LaTeX PDF:
- HTML:
- iPython notebook:
Review of central linear algebra elements
- LaTeX PDF:
- HTML:
- iPython notebook:
Monte Carlo methods and elements of probability theory
- LaTeX PDF:
- HTML:
- iPython notebook:
Splines and Gradient methods
- LaTeX PDF:
- HTML:
- iPython notebook:
Regression Methods
- LaTeX PDF:
- HTML:
- iPython notebook:
Neural Networks
- LaTeX PDF:
- HTML:
- iPython notebook:
Elements of Bayesian theory
- LaTeX PDF:
- HTML:
- iPython notebook:
Decision trees, from simple to random ones
- LaTeX PDF:
- HTML:
- iPython notebook:
Support Vector Machines
- LaTeX PDF:
- HTML:
- iPython notebook:
Unsupervised Learning, Boltzmann Machines
- LaTeX PDF:
- HTML:
- iPython notebook:
Python and Scikit Learn, a short guide
Teach yourself C++
Projects Fall 2017
Project
Course content
Probability theory and statistical methods play a central role in science. Nowadays we are
surrounded by huge amounts of data. For example, there are about one trillion web pages; more than one
hour of video is uploaded to YouTube every second, amounting to 10 years of content every
day; the genomes of 1000s of people, each of which has a length of \( 3.8\times 10^9 \) base pairs, have
been sequenced by various labs and so on.
This deluge of data calls for automated methods of data analysis,
which is exactly what machine
learning provides. In this course the approach is to define machine learning as a set of methods that can
automatically detect patterns in data, and then use the uncovered patterns to predict future
data, or to perform other kinds of decision making under uncertainty. Since many of these problems can be studied using
tools of probability theory, the aim of this course is to expose you to central methods in probability theory linked with machine learning.
This course covers thus topics like Monte Carlo methods and Markov chains, Bayesian statistics, error estimates, various linear methods, optimization of data and error analysis and central algorithms in machine learning.
The course has several numerical projects and numerical exercises that are meant to illustrate the theory.
Learning outcomes
The course introduces a variety of central algorithms and methods
essential for studies of data analysis and machine learning. The course is project based and through the various projects, normally three, the students will be exposed to fundamental research problems in these fields, with the aim to reproduce state of the art scientific results. The students will learn to develop and structure large codes for studying these systems, get acquainted with computing facilities and learn to handle large scientific projects. A good scientific and ethical conduct is emphasized throughout the course. More specifically, after this course you will
- Learn about basic data analysis, Bayesian statistics, Monte Carlo methods, data optimization and machine learning;
- Be capable of extending the acquired knowledge to other systems and cases;
- Have an understanding of central algorithms used in data analysis and machine learning;
- Have a basic knowledge of Bayesian statistics and learning and common distributions;
- Gain knowledge of central aspects of Monte Carlo methods, Markov chains, Gibbs samplers and their possible applications, from numerical integration to simulation of stock markets;
- Understand linear methods for regression and classification;
- Learn about neural network, genetic algorithms and Boltzmann machines;
- Work on numerical projects to illustrate the theory. The projects play a central role and students are expected to know modern programming languages like Python or C++.
Prerequisites
Basic knowledge in programming and numerics. Required courses are the equivalents to the University of Oslo mathematics courses MAT1100, MAT1110, MAT1120 and at least one of the corresponding computing and programming courses INF1000/INF1110 or MAT-INF1100/MAT-INF1100L/BIOS1100/KJM-INF1xxx.
The course has two central parts
- Statistical analysis and optimization of data
- Machine learning
Statistical analysis and optimization of data
The following topics will be covered
- Basic concepts, expectation values, variance, covariance, correlation functions and errors;
- Review of linear algebra methods;
- Splines and conjugate gradient methods for data optimization;
- Simpler models, binomial distribution, the Poisson distribution, simple and multivariate normal distributions;
- Central elements of Bayesian statistics and modeling;
- Monte Carlo methods, Markov chains, Metropolis-Hastings algorithm, ergodicity;
- Linear methods for regression and classification;
- Estimation of errors using blocking, bootstrapping and jackknife methods;
- Practical optimization using Singular-value decomposition and least squares for parameterizing data.
Machine learning
The following topics will be covered
- Gaussian and Dirichlet processes;
- Decision trees and nearest neighbors;
- Support vector machines;
- Boltzmann machines;
- Neural networks;
- Genetic algorithms.
All the above topics will be supported by examples, hands-on exercises and project work.
General learning book on statistical analysis:
- Christian Robert and George Casella, Monte Carlo Statistical Methods, Springer
- Peter Hoff, A first course in Bayesian statistical models, Springer
General Machine Learning Books:
- Kevin Murphy, Machine Learning: A Probabilistic Perspective, MIT Press
- Christopher M. Bishop, Pattern Recognition and Machine Learning, Springer
- David J.C. MacKay, Information Theory, Inference, and Learning Algorithms, Cambridge University Press
- Trevor Hastie, Robert Tibshirani, and Jerome Friedman, The Elements of Statistical Learning, Springer
- David Barber, Bayesian Reasoning and Machine Learning, Cambridge University Press


Version 0.68 - [
This essay was originally written as a blueprint for my speech at Extro-3 as a continuation of my thoughts on technological augmentation of humans and general functional evolution. I am still polishing it, and would welcome any suggestions and criticisms.
There are many opinions about the meaning of technological progress. Typical discussions of technological changes consist of surface observations of current phenomena. Usual discourse about transitions to cyberspace and things electronic, digital, and democratic doesn't explore where these transitions originate, how they fit into the grand-scale evolutionary process, and what may happen next. This essay attempts to classify current technologies in the context of general historical progess of complex systems evolution, analyze history of relations of humans and technology, and envision some long-term future trends.
In this essay I will utilize the common model of the world as based on physical elements of people, with their bodies, tools, and ideas. Today there is much stronger integration of features within a physical body, so physical entities are conscious, and understandably they want to talk to each other about their own development. In the not-so-distant future distributed entities may become more conscious, and then they will talk to each other in different terms.
We can view the world as an arena of systems evolution. To maintain competitive efficiency, systems have to develop certain features, such as complexity, integration, and [what I call] liquidity. They also should be able to utilize the legacy of system structures that were developed earlier and often for quite different purposes.
Complexity and integration are useful for optimizing current behavior; liquidity allows transformations and growth. All three are means, not ends, however. Nobody is interested in making things more complex or integrated just for the fun of it. Within any complexity limit, one can implement only a limited number of functions, so competition provides the impetus for systems to attempt more and more complex patterns.
By liquidity, I mean two things. One, is independence of structure from the physical substrate, facilitating more replication and other functions. Structures originally imbedded in the substrate developed more independence. Things like pressure, waves, and electric current, can already move across the substrate - so techniques of moving bits without moving atoms are actually billions of years old. Crystal structures can replicate more complex patterns within the same material; living organisms pass features and behavioral patterns to physically unconnected bodies; information technology allows structures to travel between different substrates and change representations (which is basically the same thing but one level of abstraction higher - it is passing semantics between different syntactic substrates).
Replication represents only obe simple aspect of functional evolution. It allows proliferation, but not qualitative growth. For growth, systems must possess internal structural liquidity. Functional structures should be able to modify themselves and combine with each other, to optimize behavior, to adapt to changing conditions, and to occupy new domains. This liquidity requires generalized layered architectures, modular adaptable designs, common communication interfaces, etc.
In a search for compromise between complexity, integration, and liquidity, the evolutionary process invented a system of organisms. Physical connections within an organism allow it to form a complex and integrated functional unit. At the same time, by making bodies temporary and assembling real living systems - ecologies and societies - out of dynamic configurations of communicating organisms, nature achieves the liquidity necessary for growth.
It is difficult to assemble a complex living system from identical functional bodies performing similar functions - there are too many tasks to perform to put each of them within one organism.
Therefore, functional bodies specialize. Biological organisms specialize, with different species performing different functions - that happens in ecologies and early human societies, with domestication of animals. In a human society, where a phenotypic variance is relatively small, generic bodies can learn and integrate different skills. This is still insufficient for unlimited growth, because of two reasons:
The physical abilities of an organism are limited, and it is very difficult to develop additional functions through a trial-and-error method.
The following picture illustrates the appearance of a complex functional
entity if it permanently incorporated all useful functions in one physical
body.
It is clumsy; the person would have to carry all specialized implements
everywhere, even when just one of them is needed. Evolving such a body
would also be difficult, as mutations in each function would have a smaller
and smaller influence on the survival of an organism, slowing the
evolutionary process. The solution here is a dynamic physical configuration.
Here, the original organism forms a generic core that accepts attachments and extensions on a permanent (learning) or temporary basis. The attachments get tested and evolve independently, which dramatically speeds up the development. Also, this allows specialized personality configurations useful for social division of labor.
This "dividual" construct lies in the foundation of human nature, and even though accepting attachments takes a lot of learning and practicing, and will never be done with the "Plug and play" ease that we now implement in our computers. Still, it allows much faster evolution than that previously achieved in the pre-human world.
Individuals have their value and take pride in having strong bodily features; for the next stage, the more important thing is to own lots of resources and tools and be able to manipulate them, and take part in the division of labor - that's exactly the current human perception of self-worth.
 So we need to extend our memory and intelligence as well, which is what we are trying to do now with the information technology.
Human role/interface with attachments becomes increasingly abstract. From finding and manipulating a tool we turn to communicating to it. Ideally, we may just express our needs, and the tools will understand which of them can do it, and how it should be done. In many cases, we no longer take any part in making/"compiling" objects which may sometimes create an illusion that this production process is gone.
"We're starting a new chapter in technological history. Chapter one - machines built out of something; chapter two, machines built out of nothing. Merely enacted, temporarily embodied by an irrelevant hunk of metal, plastic and silicon called a computer".
[ David Gelernter, "Mirror worlds", p. 11 ]
I think that there are two processes here. One is that machines are getting increasingly independent from the substrate, and second, that the human role is shifting from compiling an object to creating a blueprint. You can say that people also "just compile" objects out of ideas, but since the production process takes a lot of human effort, it doesn't look that simple. With computers, the compilation happens even more often, but it is easier, and humans do not take part in it, so it may look like it isn't there anymore.
Implants are internal enhancements. Most current implants are replacements, such as an artificial bone. They fix an existing function, rather than add a new one. Implants can also modify the functions of the body - drugs are a good example here - or add new functions. Only a few examples of implants currently add new functions, but we can imagine the eventual development of internal memory backups, artificial chromosomes, or PGP encryption of DNA.
An interesting category of implants is functional implants - they may be placed outside the body, but augment its internal functions. For example, a thermometer: it allows us to see our own body temperature in the way we naturally can't. Also, if you look at my notes for this speech, they are outside of my body, but still are an internal part of the lecture function, so I would also call them a functional implant. Much of software can be also classified as functional implants, as it augments our internal functions, such as memory and information processing skills.
What I call pseudo implants are external tools that feel like natural functions. For example, you can program an external filter to give you a signal when it notices an interesting object. This object can be highlighted or otherwise distinguished for a moment, to give you enough time to focus on it, but not enough to realize what triggered your attention. In effect, you would instantly see your name in a text or find Waldo in a puzzle as easily as you usually notice a source of loud noise or a bright light. Such an enhancement would feel like an internal function of your brain, though actually it is an external image pre-processor.
Wrapper is a term from the theory of legacy systems. Though not a special functional category, it still deserves a separate mention. Wrapping is the comprehensive augmentation of a certain function, when all or most contact of the original system with the environment becomes mediated through a layer of technology. Clothes are physical wrappers; our digestive systems are effectively wrapped, as we rarely eat food that hasn't been cooked, or at least cut, peeled or washed.
Implants are the most difficult enhancements, as the human body does not have clean internal interfaces that would allow easy physical combinations with technology. The external interfaces are a lot more flexible. So during all of human history augmentation of the body has been proceeding as additions of physically external elements, and most likely, this process will continue for a while. A physically mixed system is usually called a cyborg. I suggest to call a biological system with external technological extensions a functional cyborg, or a "fyborg".
In the following illustration, you can see a cyborg, a fyborg, a robot, and a natural human. Actually, the human looks natural only from outside, as she holds all kinds of artificially created concepts loaded into her head. Humans without downloaded knowledge do not exist anymore.
Another way of classifying the enhancements is by the functional role they play in the extended body.
The first effectors were simple enhancements to human physical functions; people used sticks, shovels, or spears to augment their bodies. The general trend here runs toward growing sophistication and independence of tools which perform more functions and require less attention from a human. Weapons turned from sharpened sticks to things that act at a distance. With time, external tools started acting by themselves - that includes fire, mills, etc. Machines like mousetraps are already independent decision-making agents; they enact the logic delegated into them by their owner. Software agents are in principle the same thing, except they are more liquid. This allows them to perform remote functions, replicate in the environment, and perform many other function that physical implements cannot.
Most interesting things have been happening with sensing of the environment. That includes collecting data from basically any source and location in time and space, and delivering it - if necessary, with change in representation - to human natural senses. Here we have radio, television, books, telephones, the Internet, etc. The latest trend here has been in increasing bandwidth and real-time interactivity. There are many interesting examples in this category. I am sure you know about work on remote input devices, such as cameras controlled over the Internet. Recently I saw a demonstration of a compass belt that buzzes on the side of your waist that is turned to the North, so you can always "feel" how you are oriented. There was also a suggestion to place taste buds on remote objects and transmit the signal to the nerves of your tongue so that you could taste things without actually touching them. I don't know whether you could poison yourself like this, but you definitely wouldn't gain weight.
It is possible to substitute internal sensors for external and vice versa. I already mentioned a thermometer that allows you to see your own body temperature. All medical diagnostic equipment and biofeedback devices belong to this category. It is also possible to do a reverse conversion, and channel information that would normally be perceived by external receptors, to internal sensors. For example, you could have an implant that generates a real pain in your neck each time the stock of your company goes down. - With both a physical implant and pain in one suggestion this of course sounds unpleasant. However, much of our pleasure and pain already come through technology. While animals feel direct pleasure from their productive behavior, human enjoyment from doing a good job usually comes mediated through money and various things it can buy.  And in the sense of external body, it is real pain and it goes through and registers in both your artificial and biological parts.
Storage systems have become increasingly distributed, shared and abstract, and also play an increasingly active role, deciding by themselves what to store, when to accumulate the resource and when to disburse it. Memory is probably the most interesting example here. Externally shared memory appeared long time ago, with marks on stones and trees. Now most objects around us are labeled, and a good half of our possessions is comprised of either carriers of memory, such as texts, pictures, movies, or music, or equipment for supporting and accessing it - from bookshelves to desk lamps to video cameras and computers.
A very interesting example of a memory enhancement is the remembrance agent created by Brad Rhodes and Thad Starner at MIT Media lab. It memorizes things that happen around you, and reminds you about them when you get into a similar situation, providing active external associative memory.
I would distinguish three layers of abstraction in value transports - physical, signal, and semantic.
Transport systems modify the effective geometry of the environment and allow creation of integrated distributed systems that may eventually replace a physical body as primary carriers of intelligence. Small improvements in the quality of vehicles and infrastructure shrink the effective metrics of the environment; new pathways and transportation methods introduce structural changes in the geometry and even the topology of social space.
Physical transports have been in use for thousands of years, and we have seen more and more improvements in types of vehicles and general infrastructure. New technologies, such as optimization of traffic, new materials, alternative sources of energy, navigational aids, and smart cars can bring dramatic improvements within the next few decades. My favorite urban transportation fantasy is to have all traffic lights removed, and have the cars move through intersections at 100 miles per hour, negotiating rights of passage with the cars on the crossing streets in real time, and paying each other for changing speed with digital cash. Another interesting recent development is autonomous vehicles and mobile robots. Building mobile robots still requires a lot of research in image recognition, but in one area - aerial robotics - this is not necessary (not much to bump into in the air yet). The specific difficulties of aerial robotics, the need in lightweight equipment for position identification and communication are now resolved with cellular modems and GPS. In the near future, maybe 5 to 10 years from now, aerial robots would be able to deliver small physical objects, observe remote locations (you can "walk" one in a Paris museum, or fly it over the jungle, looking for new species of birds). Small aerial robots may be also used for delivering drugs, spying after people, stealing things, or anonymous killing from the air. It seems that the features of small aerial robots - airborne, cheap and anonymous - allow them to perform acts from which the society has little protection. Introduction of aerial robots may deliver multiple benefits and at the same time create quite a turmoil that will only increase with the development of lots of swimming and running little robots.
When the environment becomes too complex, a new problem arises - knowing which things to transport and where to bring them. Often, people may be able to create necessary artifacts and transport them to places where they are needed, but they cannot do so when they do not know what to create and where they should deliver the products. As a result, the social space is divided into a set of functional fragments reflecting existing information pools, even though good transportation systems make the physical environment relatively liquid.
So the next stage is creation of an efficient system of signal transports that can carry information about available resources. This allows greater economic efficiency and faster growth, and also liberates exchange of ideas from territorial limitations.
Territorial power structures appeared under conditions when both physical and signal communications were slow and expensive, and so geographical boundaries determined the limits of cultural and economic entities. The conditions are dramatically different now, and all local structures are becoming less and less important. This means demise of territorial sovereignty and national states, and obsolescence of territorial wars in advanced economies.
We have already reached the point where transportation of physical objects, energy and information happens not as much between humans and their tools, but among the tools themselves, with humans, at best, overseeing the process. People still use both physical and information transports as well. There are millions of vehicles people acquire every year in USA alone to navigate the world - and the most favorite of them is... Netscape Navigator.
After a certain stage of development of signal communications, they start suffering from the same problem as physical transports: too much data and too many signals that render it difficult to figure out what should go where. Humans understand the semantics of signals, but each person has knowledge of only a few areas of expertise and data sources, and is increasingly overwhelmed even there.
Communication between these areas is imperfect because of semantic barriers - most people do not know each other, the organizational mechanisms of knowledge transfer between domains are relatively weak, and terminology and interests differ, which creates conditions of "reproductive isolation" in the memetic ecology.
Now the semantic space is fragmented, although the information environment is liquid, and we face a task similar to the one that led to the creation of the signal communication industry. We need to make the communication media aware of their content, and build a semantic transport system that would take an increasing role in determining what data should be stored and where, who should get signals and from which sources. This system should also pass information about different sources of data from one knowledge center to another.
Today, an increasing number of tools, from search engines to collaborative filtering schemes, store knowledge about available data and fulfill not only the requests for particular data items, but also requests for the type of desired knowledge, or even tell you what they decide may relate to your interests.
At the advanced stage of this process, humans may play the role of "semantic sensors", assessing the meaning and value of particular objects, and letting machines organize the global architecture of knowledge flows.
This seems to be the general tendency in the evolution of all enhancements. Originally, the tools, sensors, and transports were small and specialized, while humans determined the system architecture and provided general support and coordination. But now, humans specialize in creating particular artifacts and assessing their quality, and the machine economy provides the general structure. So each human is becoming a specialized tool in the automated distributed system.
It is likely that semantic transport will play as important a role in the advanced information economy as signal and physical transports play in the industrial age.
According to statistics, physical transportation alone accounts for 40% of all economic costs, depending on what you consider transportation. Is swallowing food transportation? Is data transfer between computer processor and memory transportation? If we divide things in this strict sense, into transportation, when the object structure persists, but location changes, and transformation, when the location persists but the structure changes, then transportation may account for 90+% of the costs. Sometimes it is not easy to make distinctions. For example, moving furniture from one wall to another may be considered transportation of furniture, but transformation of the office.
Another interesting project is a device that allows people to automatically exchange personal data when they approach each other in the street.
Human abilities in communication are limited, and we are already close to our maximal capacity. It seems that in a decade or two we will be able to provide the maximal bandwidth that a human can perceive - that's a dedicated link with high-quality video and audio into each home. All further increase in data traffic will happen between the machines, so in another decade the traffic received by humans may be relatively so small that it may be delivered for free.
Selectors and filters choose and transform physical or data inputs. Information filters seem the most interesting. There are many methods for mediating our perception of the world, and the work here is just beginning, so I will try to classify the enhancements that I think should appear in the near future.
Volume and focus controls may allow to adjust the level of the signal or select and amplify small but important parts - for example, focus in on small or distant objects.
Calibration tools could expand the effective spectral range of your perception through alteration of the frequency of the signal to allow you to hear ultrasound or perceive X-rays and radio waves as visible light.
Conversions between different types of signals may allow you, for example, to "see" noise as fog while enjoying quiet. Most popular conversion already takes place via spoken and written language, by which we convert our experiences into a symbolic form. In real-time communication such symbolism may be mixed with the original message in a metaphoric form, for example your "smart glasses" could display the chemical composition of materials as color patterns. You can also convert the look of a good financial report into an intense physical pleasure.
Artificial annotations to perceived images could add text tags with names and descriptions to chosen objects, append warning labels with skull and crossbones to radioactive objects, or surround angry people with red auras. A person who has a reputation as a liar could appear to have a long nose (as you see here on the picture). Entering a high-crime area, people may see the sky darken and hear distant funeral music.
Reality filters may help you filter all signals coming from the world just like your favorite mail reader filters your messages, based on your stated preferences or advice from your peers. With such filters you may choose to see only the objects that are worthy of your attention, and completely remove useless and annoying sounds and images (such as advertisements) from your view.
Perception utilities may give you additional information
in a familiar way -- project clocks, thermometers, weather maps, and your
current EKG readings on the wall in front of you, or honk a virtual horn
every time a car approaches you from behind. They could also build on existing
techniques that present us with recordings of the past and forecasts of the
future to help people develop an immersive trans-temporal perception
of reality.
"World improvement"
Finally, completely artificial additions could project northern lights, meteorites, and supernovas upon your view of the sky, or populate it with flying toasters, or they could virtualize and superimpose on the image of the real world your favorite mythical characters and imaginary companions, and provide other educational and recreational functions.
In many cases, perception filters may provide us with more true-to-life information than our "natural" perception of reality. They could edit out mirages, show us our "real" images in a virtual mirror instead of the mirror images provided by the real mirror, or allow us to see through solid objects. They could also show us many interesting phenomena that human sensors cannot perceive directly and that we have thus far learned about from science only in the symbolic form.
Some of the interface enhancements can be made common, temporarily or permanently, for large communities of people. This would allow people to interact with each other using, and referring to, artificial extensions as if they were parts of the real world, and build a "mutual reality" of common perceptions and metaphors.
Eventually, with all these filters, our contacts with "raw reality" may become as rare as our consumption of raw meat.
An interesting question here is who should have a right to control how you perceive things. Can you morph your neighbors into pigs, or see them naked, or demand that your image must be erased from the view of strangers? Can you implement obscenity filters for your children, so they would never hear bad words and see anything disturbing? Or can you design an obscenity-enhancement filter for yourself? Will people fight for the "freedom of impression" that would allow them to perceive the world in a far more distorted way that any of today's drugs can possibly do? Or will the government decide what constitutes an "approved perception of reality"?
Currently, the general view on extended self is, that whatever is within your skin boundary, is your "sacred natural self", and nobody, including yourself, should modify, damage, or sell any part of it. Things that are outside the skin, are property, and occupy a very different status. With our increasing ability to manipulate the biological parts, and our growing dependence on technology, this attitude should eventually change. But knowing humans, we can hardly expect that this process will be efficient and peaceful.
Human rules of social interaction are based on the concept of the permanence of human identity. Without it, some social rules may become outmoded. For example, if a person breaks some laws, and then replicates into lots of clones, and modifies himself beyond recognition, who should be punished for the crime? If currently you may not be allowed into a court with cameras, weapons, or drugs, then what will they do if you could turn any part of your body into any of these things at any time? Would they restrict the quality of your visual memory and monitor the chemical composition of your blood stream?
So the personal identity turns into an increasingly fluid and reconfigurable thing. At some point, you may be able to change yourself rapidly and dramatically - and every once in a while experience kind of "death forward" - modification beyond recognition, in which you will lose your identity, in any reasonable sense of this word.
Most progress-oriented individuals would probably have very short identity life spans - and may not be interested in prolonging the lives of their physical substrates. A truly " morphologically free" person may change all his parts and their configuration, and preserve only the general goals. Though the goals will drift too. Even with our current inflexible designs, our fundamental goals and interests change several times during our lives. In advanced entities such processes would speed up. The outside observer, with some stretch of imagination, could still call such a sequence of goals, or "teleological thread", an identity, but the entities themselves may feel very different about it.
In the most distant future that I can envision, intelligent entities will be extremely fluid and highly independent from the physical substrate of the world. Charles Platt suggested to call them "infomorphs". although this term assumes at least some functional identity. In the real post-human future the identities may completely dissolve, and the world will represent a mix of a superliquid economy, cyberspace anarchy and distributed Artificial Intelligence. To current humans, it may look like crazy functional soup.
My other essays are available at http://www.lucifer.com/~sasha/articles/index.html. You can also find other resources related to the future of technology via my Web home page at http://www.lucifer.com/~sasha/home.html Please send your comments to sasha1@netcom.com


Bayesian Model Averaging to create probabilistic forecasts from ensemble forecasts and weather observations.
| Version: | 5.1.5 |
| Depends: | R (≥ 2.10), chron |
| Suggests: | fields, maps |
| Published: | 2018-01-18 |
| Author: | Chris Fraley, Adrian E. Raftery, J. McLean Sloughter, Tilmann Gneiting, University of Washington. |
| Maintainer: | Chris Fraley <fraley at u.washington.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Materials: | ChangeLog |
| In views: | Bayesian, TimeSeries |
| CRAN checks: | ensembleBMA results |
| Reference manual: | ensembleBMA.pdf |
| Package source: | ensembleBMA_5.1.5.tar.gz |
| Windows binaries: | r-devel: ensembleBMA_5.1.5.zip, r-release: ensembleBMA_5.1.5.zip, r-oldrel: ensembleBMA_5.1.5.zip |
| OS X binaries: | r-release: ensembleBMA_5.1.5.tgz, r-oldrel: ensembleBMA_5.1.5.tgz |
| Old sources: | ensembleBMA archive |
| Reverse depends: | ensembleMOS |
| Reverse suggests: | ensemblepp |
Please use the canonical form https://CRAN.R-project.org/package=ensembleBMA to link to this page.


The Accessibility API makes it easy to know when a user has a screen reader enabled, as well as programmatically speaking labels through the connected screen reader.
import { Plugins } from '@capacitor/core';
const { Accessibility, Modals } = Plugins;
Accessibility.addListener('accessibilityScreenReaderStateChange', (state) => {
console.log(state.value);
});
async isVoiceOverEnabled() {
var vo = await Accessibility.isScreenReaderEnabled();
alert('Voice over enabled? ' + vo.value);
}
async speak() {
var value = await Modals.prompt({
title: "Value to speak",
message: "Enter the value to speak"
});
Accessibility.speak({value: value.value});
}


...
Pet List:
Reviews About [[${target.username}]]:
says:
Reviews By [[${target.username}]]:
said about
:


This structure implements the boundary nodes of an axis-aligned bounding box.
More...
#include <CCollisionAABBBox.h>
This structure implements the data variables and methods necessary to model an axis-aligned bounding box. These methods are used by the general AABB collision detection algorithm (See class cCollisionAABB).
| chai3d::cCollisionAABBBox::cCollisionAABBBox |
( |
| ) |
|
|
inline |
| chai3d::cCollisionAABBBox::cCollisionAABBBox |
( |
const cVector3d & |
a_min, |
|
|
const cVector3d & |
a_max |
|
) |
| |
|
inline |
| virtual chai3d::cCollisionAABBBox::~cCollisionAABBBox |
( |
| ) |
|
|
inlinevirtual |
| cVector3d chai3d::cCollisionAABBBox::getCenter |
( |
| ) |
const |
|
inline |
This method returns the center of the boundary box.
- Returns
- Center of boundary box.
| cVector3d chai3d::cCollisionAABBBox::getExtent |
( |
| ) |
const |
|
inline |
This method returns the extent (half the width) of the boundary box.
- Returns
- Extent of boundary box
| void chai3d::cCollisionAABBBox::setCenter |
( |
const cVector3d & |
a_center | ) |
|
|
inline |
This method sets the center of the boundary box.
- Parameters
-
| a_center | Center of boundary box. |
| void chai3d::cCollisionAABBBox::setExtent |
( |
const cVector3d & |
a_extent | ) |
|
|
inline |
This method sets the extent (half the width) of the boundary box.
- Parameters
-
| a_extent | Boundary box extent. |
| void chai3d::cCollisionAABBBox::setValue |
( |
const cVector3d & |
a_min, |
|
|
const cVector3d & |
a_max |
|
) |
| |
|
inline |
This method initializes the boundary box by passing a minimum and maximum point passed as arguments.
- Parameters
-
| a_min | Minimum point of boundary box. |
| a_max | Maximum point of boundary box. |
This method determines whether this box and an input box passed as argument intersect each other.
- Parameters
-
- Returns
- true if the input box overlaps this box, false otherwise.
| bool chai3d::cCollisionAABBBox::intersect |
( |
const cVector3d & |
a_segmentPointA, |
|
|
const cVector3d & |
a_segmentPointB |
|
) |
| const |
|
inline |
This method determines whether the given ray intersects the boundary box. Based on code by Andrew Woo from "Graphics Gems", Academic Press, 1990.
- Parameters
-
| a_segmentPointA | Initial point of segment. |
| a_segmentPointB | End point of segment. |
- Returns
- true if line segment intersects the boundary box, false otherwise.
| bool chai3d::cCollisionAABBBox::contains |
( |
const cVector3d & |
a_point | ) |
const |
|
inline |
This method tests whether this box contains a point a_point
passed as argument.
- Parameters
-
| a_point | Point to be tested. |
- Returns
- true if this box contains this point, false otherwise.
This method initializes the boundary box to bound two given boundary boxes passed as argument.
- Parameters
-
| a_boxA | The first boundary box to be enclosed. |
| a_boxB | The second boundary box to be enclosed. |
| void chai3d::cCollisionAABBBox::enclose |
( |
const cVector3d & |
a_point | ) |
|
|
inline |
This method resizes the boundary box to bound a new point a_point
passed as argument.
- Parameters
-
| a_point | Point to be enclosed. |
This method resizes the boundary box to bound a new point passed as argument.
- Parameters
-
| a_box | Box to be enclosed in this boundary box. |
| void chai3d::cCollisionAABBBox::setEmpty |
( |
| ) |
|
|
inline |
This method empties this boundary box.
| double chai3d::cCollisionAABBBox::getLowerX |
( |
| ) |
const |
|
inline |
This method returns the smallest coordinate along X axis.
- Returns
- Smallest coordinate along X axis.
| double chai3d::cCollisionAABBBox::getUpperX |
( |
| ) |
const |
|
inline |
This method returns the largest coordinate along X axis.
- Returns
- Largest coordinate along X axis.
| double chai3d::cCollisionAABBBox::getLowerY |
( |
| ) |
const |
|
inline |
This method returns the smallest coordinate along Y axis.
- Returns
- Smallest coordinate along Y axis.
| double chai3d::cCollisionAABBBox::getUpperY |
( |
| ) |
const |
|
inline |
This method returns the largest coordinate along Y axis.
- Returns
- Largest coordinate along Y axis.
| double chai3d::cCollisionAABBBox::getLowerZ |
( |
| ) |
const |
|
inline |
This returns the smallest coordinate along Z axis.
- Returns
- Smallest coordinate along Z axis.
| double chai3d::cCollisionAABBBox::getUpperZ |
( |
| ) |
const |
|
inline |
This method return the largest coordinate along Z axis.
- Returns
- Largest coordinate along Z axis.
| int chai3d::cCollisionAABBBox::getLongestAxis |
( |
| ) |
const |
|
inline |
This method returns the index of the longest axis of the boundary box.
- Returns
- Index of the longest axis of the box.
| void chai3d::cCollisionAABBBox::render |
( |
| ) |
|
|
inline |
This method renders graphically using OpenGL the edges of the boundary box.
| cVector3d chai3d::cCollisionAABBBox::m_center |
| cVector3d chai3d::cCollisionAABBBox::m_extent |
The documentation for this class was generated from the following file:


|
LiteCore
Couchbase Lite cross-platform core implementation
|
Data Structures | |
| struct | C4Revision |
| Describes a revision of a document. More... | |
| struct | C4Document |
| Describes a version-controlled document. More... | |
| struct | C4DocPutRequest |
| Parameters for adding a revision using c4doc_put. More... | |
Enumerations | |
| enum | C4DocumentFlags : uint32_t { kDocDeleted = 0x01, kDocConflicted = 0x02, kDocHasAttachments = 0x04, kDocExists = 0x1000 } |
| Flags describing a document. More... | |
| enum | C4RevisionFlags : uint8_t { kRevDeleted = 0x01, kRevLeaf = 0x02, kRevNew = 0x04, kRevHasAttachments = 0x08, kRevKeepBody = 0x10, kRevIsConflict = 0x20, kRevIsForeign = 0x40 } |
| Flags that apply to a revision. More... | |
Fleece-related | |
| bool | c4doc_isOldMetaProperty (C4String prop) |
| Returns true if this is the name of a 1.x metadata property ("_id", "_rev", "_deleted".) Does NOT return true for "_attachments" because that property isn't obsolete. More... | |
| bool | c4doc_hasOldMetaProperties (FLDict doc) |
| Returns true if the document contains 1.x metadata properties at top level. More... | |
| C4SliceResult | c4doc_encodeStrippingOldMetaProperties (FLDict doc) |
| Re-encodes to Fleece, without any 1.x metadata properties. More... | |
| bool | c4doc_dictIsBlob (FLDict dict, FLSharedKeys sk, C4BlobKey *outKey) |
| Returns true if the given dictionary is a [reference to a] blob; if so, gets its key. More... | |
| bool | c4doc_dictContainsBlobs (FLDict dict, FLSharedKeys sk) |
| C4StringResult | c4doc_bodyAsJSON (C4Document *doc, bool canonical, C4Error *outError) |
| Translates the body of the selected revision from Fleece to JSON. More... | |
| FLEncoder | c4db_createFleeceEncoder (C4Database *db) |
| Creates a Fleece encoder for creating documents for a given database. More... | |
| C4SliceResult | c4db_encodeJSON (C4Database *, C4String jsonData, C4Error *outError) |
| Encodes JSON data to Fleece, to store into a document. More... | |
| FLSharedKeys | c4db_getFLSharedKeys (C4Database *db) |
| Returns the FLSharedKeys object used by the given database. More... | |
| FLDictKey | c4db_initFLDictKey (C4Database *db, C4String string) |
| Returns an initialized FLDictKey for the given key string, taking into account the shared keys of the given database. More... | |
| #define | kC4ObjectTypeProperty "@type" |
| The sub-document property that identifies it as a special type of object. More... | |
| #define | kC4ObjectType_Blob "blob" |
| Value of kC4ObjectTypeProperty that denotes a blob. More... | |
| #define | kC4LegacyAttachmentsProperty "_attachments" |
| Top-level document property whose value is a CBL 1.x / CouchDB attachments container. More... | |
Lifecycle | |
| C4Document * | c4doc_get (C4Database *database, C4String docID, bool mustExist, C4Error *outError) |
| Gets a document from the database. More... | |
| C4Document * | c4doc_getBySequence (C4Database *database, C4SequenceNumber, C4Error *outError) |
| Gets a document from the database given its sequence number. More... | |
| bool | c4doc_save (C4Document *doc, uint32_t maxRevTreeDepth, C4Error *outError) |
| Saves changes to a C4Document. More... | |
| void | c4doc_free (C4Document *doc) |
| Frees a C4Document. More... | |
Revisions | |
| bool | c4doc_selectRevision (C4Document *doc, C4String revID, bool withBody, C4Error *outError) |
| Selects a specific revision of a document (or no revision, if revID is NULL.) More... | |
| bool | c4doc_selectCurrentRevision (C4Document *doc) |
| Selects the current revision of a document. More... | |
| bool | c4doc_loadRevisionBody (C4Document *doc, C4Error *outError) |
| Populates the body field of a doc's selected revision, if it was initially loaded without its body. More... | |
| C4StringResult | c4doc_detachRevisionBody (C4Document *doc) |
Transfers ownership of the document's selectedRev.body to the caller, without copying. More... | |
| bool | c4doc_hasRevisionBody (C4Document *doc) |
| Returns true if the body of the selected revision is available, i.e. More... | |
| bool | c4doc_selectParentRevision (C4Document *doc) |
| Selects the parent of the selected revision, if it's known, else returns NULL. More... | |
| bool | c4doc_selectNextRevision (C4Document *doc) |
| Selects the next revision in priority order. More... | |
| bool | c4doc_selectNextLeafRevision (C4Document *doc, bool includeDeleted, bool withBody, C4Error *outError) |
| Selects the next leaf revision; like selectNextRevision but skips over non-leaves. More... | |
| bool | c4doc_selectFirstPossibleAncestorOf (C4Document *doc, C4String revID) |
| Selects the first revision that could be an ancestor of the given revID, or returns false if there is none. More... | |
| bool | c4doc_selectNextPossibleAncestorOf (C4Document *doc, C4String revID) |
| Selects the next revision (after the selected one) that could be an ancestor of the given revID, or returns false if there are no more. More... | |
| bool | c4doc_selectCommonAncestorRevision (C4Document *doc, C4String rev1ID, C4String rev2ID) |
| Selects the common ancestor of two revisions. More... | |
| unsigned | c4rev_getGeneration (C4String revID) |
| Given a revision ID, returns its generation number (the decimal number before the hyphen), or zero if it's unparseable. More... | |
| bool | c4doc_removeRevisionBody (C4Document *doc) |
| Removes the body of the selected revision and clears its kKeepBody flag. More... | |
| int32_t | c4doc_purgeRevision (C4Document *doc, C4String revID, C4Error *outError) |
| Removes a branch from a document's history. More... | |
| bool | c4doc_resolveConflict (C4Document *doc, C4String winningRevID, C4String losingRevID, C4Slice mergedBody, C4Error *error) |
| Resolves a conflict between two leaf revisions, by deleting one of them and optionally adding a new merged revision as a child of the other. More... | |
Purging and Expiration | |
| bool | c4db_purgeDoc (C4Database *database, C4String docID, C4Error *outError) |
| Removes all trace of a document and its revisions from the database. More... | |
| bool | c4doc_setExpiration (C4Database *db, C4String docId, uint64_t timestamp, C4Error *outError) |
| Sets an expiration date on a document. More... | |
| uint64_t | c4doc_getExpiration (C4Database *db, C4String docId) |
| Returns the expiration time of a document, if one has been set, else 0. More... | |
Creating and Updating Documents | |
| C4Document * | c4doc_put (C4Database *database, const C4DocPutRequest *request, size_t *outCommonAncestorIndex, C4Error *outError) |
| A high-level Put operation, to insert a new or downloaded revision. More... | |
| C4Document * | c4doc_create (C4Database *db, C4String docID, C4Slice body, C4RevisionFlags revisionFlags, C4Error *error) |
| Convenience function to create a new document. More... | |
| C4Document * | c4doc_update (C4Document *doc, C4Slice revisionBody, C4RevisionFlags revisionFlags, C4Error *error) |
| Adds a revision to a document already in memory as a C4Document. More... | |
| #define kC4LegacyAttachmentsProperty "_attachments" |
Top-level document property whose value is a CBL 1.x / CouchDB attachments container.
| #define kC4ObjectType_Blob "blob" |
Value of kC4ObjectTypeProperty that denotes a blob.
| #define kC4ObjectTypeProperty "@type" |
The sub-document property that identifies it as a special type of object.
For example, a blob is represented as {"@type":"blob", "digest":"xxxx", ...}
| enum C4DocumentFlags : uint32_t |
| enum C4RevisionFlags : uint8_t |
Flags that apply to a revision.
| FLEncoder c4db_createFleeceEncoder | ( | C4Database * | db | ) |
Creates a Fleece encoder for creating documents for a given database.
| C4SliceResult c4db_encodeJSON | ( | C4Database * | , |
| C4String | jsonData, | ||
| C4Error * | outError | ||
| ) |
Encodes JSON data to Fleece, to store into a document.
| FLSharedKeys c4db_getFLSharedKeys | ( | C4Database * | db | ) |
Returns the FLSharedKeys object used by the given database.
| FLDictKey c4db_initFLDictKey | ( | C4Database * | db, |
| C4String | string | ||
| ) |
Returns an initialized FLDictKey for the given key string, taking into account the shared keys of the given database.
| bool c4db_purgeDoc | ( | C4Database * | database, |
| C4String | docID, | ||
| C4Error * | outError | ||
| ) |
Removes all trace of a document and its revisions from the database.
| C4StringResult c4doc_bodyAsJSON | ( | C4Document * | doc, |
| bool | canonical, | ||
| C4Error * | outError | ||
| ) |
Translates the body of the selected revision from Fleece to JSON.
| C4Document* c4doc_create | ( | C4Database * | db, |
| C4String | docID, | ||
| C4Slice | body, | ||
| C4RevisionFlags | revisionFlags, | ||
| C4Error * | error | ||
| ) |
Convenience function to create a new document.
This just a wrapper around c4doc_put. If the document already exists, it will fail with the error kC4ErrorConflict.
| db | The database to create the document in |
| docID | Document ID to create; if null, a UUID will be generated |
| body | Body of the document |
| revisionFlags | The flags of the new revision |
| error | Information about any error that occurred |
| C4StringResult c4doc_detachRevisionBody | ( | C4Document * | doc | ) |
Transfers ownership of the document's selectedRev.body
to the caller, without copying.
The C4Document's field is cleared, and the value returned from this function. As with all C4SliceResult values, the caller is responsible for freeing it when finished.
| bool c4doc_dictContainsBlobs | ( | FLDict | dict, |
| FLSharedKeys | sk | ||
| ) |
| bool c4doc_dictIsBlob | ( | FLDict | dict, |
| FLSharedKeys | sk, | ||
| C4BlobKey * | outKey | ||
| ) |
Returns true if the given dictionary is a [reference to a] blob; if so, gets its key.
(This function cannot recognize child dictionaries of "_attachments", because it's not possible to look at the parent of a Fleece value.)
| C4SliceResult c4doc_encodeStrippingOldMetaProperties | ( | FLDict | doc | ) |
Re-encodes to Fleece, without any 1.x metadata properties.
| void c4doc_free | ( | C4Document * | doc | ) |
Frees a C4Document.
| C4Document* c4doc_get | ( | C4Database * | database, |
| C4String | docID, | ||
| bool | mustExist, | ||
| C4Error * | outError | ||
| ) |
Gets a document from the database.
If there's no such document, the behavior depends on the mustExist flag. If it's true, NULL is returned. If it's false, a valid but empty C4Document is returned, that doesn't yet exist in the database (but will be added when saved.) The current revision is selected (if the document exists.)
| C4Document* c4doc_getBySequence | ( | C4Database * | database, |
| C4SequenceNumber | , | ||
| C4Error * | outError | ||
| ) |
Gets a document from the database given its sequence number.
| uint64_t c4doc_getExpiration | ( | C4Database * | db, |
| C4String | docId | ||
| ) |
Returns the expiration time of a document, if one has been set, else 0.
| bool c4doc_hasOldMetaProperties | ( | FLDict | doc | ) |
Returns true if the document contains 1.x metadata properties at top level.
Does NOT return true for "_attachments" because that property isn't obsolete.
| bool c4doc_hasRevisionBody | ( | C4Document * | doc | ) |
Returns true if the body of the selected revision is available, i.e.
if c4doc_loadRevisionBody() would succeed.
| bool c4doc_isOldMetaProperty | ( | C4String | prop | ) |
Returns true if this is the name of a 1.x metadata property ("_id", "_rev", "_deleted".) Does NOT return true for "_attachments" because that property isn't obsolete.
| bool c4doc_loadRevisionBody | ( | C4Document * | doc, |
| C4Error * | outError | ||
| ) |
Populates the body field of a doc's selected revision, if it was initially loaded without its body.
| int32_t c4doc_purgeRevision | ( | C4Document * | doc, |
| C4String | revID, | ||
| C4Error * | outError | ||
| ) |
Removes a branch from a document's history.
The revID must correspond to a leaf revision; that revision and its ancestors will be removed, except for ancestors that are shared with another branch. If the document has only one branch (no conflicts), or if the input revID is null, the purge will remove every revision, and saving the document will purge it (remove it completely from the database.) Must be called within a transaction. Remember to save the document afterwards.
| doc | The document. |
| revID | The ID of the revision to purge. If null, all revisions are purged. |
| outError | Error information is stored here. |
| C4Document* c4doc_put | ( | C4Database * | database, |
| const C4DocPutRequest * | request, | ||
| size_t * | outCommonAncestorIndex, | ||
| C4Error * | outError | ||
| ) |
A high-level Put operation, to insert a new or downloaded revision.
If request->existingRevision is true, then request->history must contain the revision's history, with the revision's ID as the first item. Otherwise, a new revision will be created and assigned a revID. The parent revision ID, if any, should be given as the single item of request->history. Either way, on success the document is returned with the inserted revision selected. Note that actually saving the document back to the database is optional – it only happens if request->save is true. You can set this to false if you want to review the changes before saving, e.g. to run them through a validation function.
| bool c4doc_removeRevisionBody | ( | C4Document * | doc | ) |
Removes the body of the selected revision and clears its kKeepBody flag.
Must be called within a transaction. Remember to save the document afterwards.
| doc | The document to operate on. |
| bool c4doc_resolveConflict | ( | C4Document * | doc, |
| C4String | winningRevID, | ||
| C4String | losingRevID, | ||
| C4Slice | mergedBody, | ||
| C4Error * | error | ||
| ) |
Resolves a conflict between two leaf revisions, by deleting one of them and optionally adding a new merged revision as a child of the other.
Must be called within a transaction. Remember to save the document afterwards.
| doc | The document. |
| winningRevID | The conflicting revision to be kept (and optionally updated.) |
| losingRevID | The conflicting revision to be deleted. |
| mergedBody | The body of the merged revision, or NULL if none. |
| error | Error information is stored here. |
| bool c4doc_save | ( | C4Document * | doc, |
| uint32_t | maxRevTreeDepth, | ||
| C4Error * | outError | ||
| ) |
Saves changes to a C4Document.
Must be called within a transaction. The revision history will be pruned to the maximum depth given.
| bool c4doc_selectCommonAncestorRevision | ( | C4Document * | doc, |
| C4String | rev1ID, | ||
| C4String | rev2ID | ||
| ) |
Selects the common ancestor of two revisions.
Returns false if none is found.
| bool c4doc_selectCurrentRevision | ( | C4Document * | doc | ) |
Selects the current revision of a document.
(This is the first revision, in the order they appear in the document.)
| bool c4doc_selectFirstPossibleAncestorOf | ( | C4Document * | doc, |
| C4String | revID | ||
| ) |
Selects the first revision that could be an ancestor of the given revID, or returns false if there is none.
| bool c4doc_selectNextLeafRevision | ( | C4Document * | doc, |
| bool | includeDeleted, | ||
| bool | withBody, | ||
| C4Error * | outError | ||
| ) |
Selects the next leaf revision; like selectNextRevision but skips over non-leaves.
To distinguish between the end of the iteration and a failure, check the value of outError after the function returns false: if there's no error (code==0) it's normal.
| bool c4doc_selectNextPossibleAncestorOf | ( | C4Document * | doc, |
| C4String | revID | ||
| ) |
Selects the next revision (after the selected one) that could be an ancestor of the given revID, or returns false if there are no more.
| bool c4doc_selectNextRevision | ( | C4Document * | doc | ) |
Selects the next revision in priority order.
This can be used to iterate over all revisions, starting from the current revision.
| bool c4doc_selectParentRevision | ( | C4Document * | doc | ) |
Selects the parent of the selected revision, if it's known, else returns NULL.
| bool c4doc_selectRevision | ( | C4Document * | doc, |
| C4String | revID, | ||
| bool | withBody, | ||
| C4Error * | outError | ||
| ) |
Selects a specific revision of a document (or no revision, if revID is NULL.)
| bool c4doc_setExpiration | ( | C4Database * | db, |
| C4String | docId, | ||
| uint64_t | timestamp, | ||
| C4Error * | outError | ||
| ) |
Sets an expiration date on a document.
After this time the document will be purged from the database.
| db | The database to set the expiration date in |
| docId | The ID of the document to set the expiration date for |
| timestamp | The UNIX timestamp of the expiration date (must be in the future, i.e. after the current value of time()). A value of 0 indicates that the expiration should be cancelled. |
| outError | Information about any error that occurred |
| C4Document* c4doc_update | ( | C4Document * | doc, |
| C4Slice | revisionBody, | ||
| C4RevisionFlags | revisionFlags, | ||
| C4Error * | error | ||
| ) |
Adds a revision to a document already in memory as a C4Document.
This is more efficient than c4doc_put because it doesn't have to read from the database before writing; but if the C4Document doesn't have the current state of the document, it will fail with the error kC4ErrorConflict – then you'll need to get the current document and try again. The new revision is added as a child of the currently selected revision.
| doc | The document to update |
| revisionBody | The body of the new revision |
| revisionFlags | The flags of the new revision |
| error | Information about any error that occurred |
| unsigned c4rev_getGeneration | ( | C4String | revID | ) |
Given a revision ID, returns its generation number (the decimal number before the hyphen), or zero if it's unparseable.


FWD - Neutral Language Processing
Analyze
Text:
Score Tag:
Agreement:
Subjectivity:
Confidence:
Irony:


You finally get the beans back to your laboratory and start your work in modifying the Sopophorous
beans genetic components. After a couple of months and intensive work, your research finally starts to
produce some exciting results.
YOU MUST CHOOSE:
Ask for some more funding to Dumbledore Grants to continue your research on the magic beans.
Publish your research in Witchcraft Review, the premier peer reviewed magic journal in the kingdom.
Patent your magic potion based on the modified Sopophorous beans. The magic potion’s market in Wizards Kingdom is very competitive you decide to go the patent office to patent the formula.
Directly commercialize your magic potion based on the modified Sopophorous beans.
Your professor advises you that before commercializing it, you need the market approval of the Hedwig Market Approval Authority. This authority makes sure that all potions fulfill the phytosanitary and magic conditions required to ensure the quality of all potions available in the shops of the Wizards Kingdom.
Look up the provider country's details in the ABSCH and contact them to renegotiate MAT.
You have completed your work on the magic potion and you are happy with the results.


select a weapon first!
To kill as many zombies as possible{{ deadliestWeapon }}
To kill one as safely as possible{{ safestWeapon }}


Agrifood Consulting International provides a wide range of consulting and advisory services to governments, development agencies and private companies. Grounded in decades of experience in Food Security and Food Safety, ACI has expanded its expertise to bring leading-edge approaches to policies and practices addressing more inclusive value chain development and climate smart agriculture.
In addition, ACI has significant experience and expertise in working with private companies to encourage investment and collaboratively working with national and sub-national governments and international development agencies.
"ACI is a thought leader with innovative solutions to today’s agriculture and food challenges."
"ACI is a thought leader with innovative solutions to today’s agriculture and food challenges."


Package javax0.repl
-
Interface Summary Interface Description CommandDefinitionBuilder.CommandDefinitionBuilderReady CommandDefinitionBuilder.If0 CommandDefinitionBuilder.If1 CommandDefinitionBuilder.If10 CommandDefinitionBuilder.If2 CommandDefinitionBuilder.If3 CommandDefinitionBuilder.If4 CommandDefinitionBuilder.If5 CommandDefinitionBuilder.If6 CommandDefinitionBuilder.If7 CommandDefinitionBuilder.If8 CommandDefinitionBuilder.If9 CommandEnvironment LocalConsole This is a local interface that defines a subset of the functionalities of the system console. -
Class Summary Class Description BufferedReaderConsole CommandDefinitionBuilder A command definition builder that can be used to create a command definition.CommandDefinitionBuilder.Wrapper ConsoleConsole LocalConsole
implementation that usesSystem.console()
Message A message object used by commands to collect informational, warning and error messages.Noop A sample application that defines no commands at all.ParameterParser A parameter parser that is to parse the command line and after that to query the command parameters.Repl


Search {{ h.delimit_number(collection_stats['specimens']) }} of the Museum's 80 million specimens.
Search {{ h.delimit_number(collection_stats['total']) }} of the Museum's 80 million objects.
Search {{ h.delimit_number(stats.record_count) }} records from the Museum's collections and research datasets.
{% block stats %}
{% snippet 'home/snippets/stats.html' %} {% endblock %}


Howdy, World!
This is a basic jumbotron in Bootstrap with Sass
Howdy, World!

A simple secondary alert—check it out!
A simple success alert—check it out!
A simple danger alert—check it out!
A simple warning alert—check it out!
A simple info alert—check it out!
A simple light alert—check it out!

Modified Alert Colors
A simple primary alert—check it out!
A simple secondary alert—check it out!
A simple success alert—check it out!
A simple danger alert—check it out!
A simple warning alert—check it out!
A simple info alert—check it out!
A simple light alert—check it out!


A thousand years go by
Watching everything goes by
Waiting for tears in your eyes
Falling from the sky
It’s calling when I |
Said you
living
in the zoo
We are all
waiting for the moon
Rising in the air
Let me be there for you
FOR_YOU
For you
For you
For you
For you
For you
For you
For you
For you
For you
For you
For you
For you
For you
For you
For you
For you
Releasing fears in your mind
It’s got to be oh now or never
now
or
never
Head on the sky
Lovers give up their minds
Dreamers take your time
I live in the libidream, could never wake up
Falling
falling
falling
falling
falling
falling
falling
falling
falling
falling
falling
falling
falling
falling
falling
into
into
into
into
into
into
into
into
into
into
into
into
you
you
you
you
you
you
you
you
you
you
you
Said you living in the zoo
We are all waiting for the moon
Rising in the air
Let me be there for you, for you
Releasing fears in your mind
It’s got to be oh now or never
Head on the sky
Lovers give up their minds
Dreamers take your time
I live in the libidream, could never wake up


The Modern Day Retro Shooter
When a large corporation is censoring billions of websites, only you can hack into their system...
THE PAST
It's 2080 and the mainframe is infested with coorporate bugs. It's your mission to save the internet.
THE PRESENT
Invite your cypherpunk friends and enemies into the PvP world. A neon world that lives on a P2P network.
THE FUTURE
We're looking for a nostalgic experience that never existed. Come fix the glitch.
Join the Network


SB-4
Reposition the scrollbars-
In the Scrollbars tab, shrink the grid away from the the scrollbars enough to leave the scrollbar thumbs completely outside the grid content:
div.hypergrid-container > div:first-child { bottom: 15px; right: 15px; }
Thebox-shadow
setting would not be needed normally; it just undoes the fuzzy shadow around the grid that this workbench applies, and which was interfering visually with the new scrollbar positioning. - Click the
style
element
button to update the custom - Although the scrollbars have not actually moved, they no longer overlay the grid because we’ve made the grid a little smaller.
Again, we urge you to go back to the first page of this section and take a look at its Code Snippets tab. There you will find examples of gutter borders and of moving the scrollbars to the opposite edges of the grid.


The Golden State Warriors are an American professional basketball team based in Oakland, California. The Warriors compete in the National Basketball Association (NBA) as a member club of the league's Western Conference Pacific Division. The team was established in 1946 as the Philadelphia Warriors based in Philadelphia, Pennsylvania, a founding member of the Basketball Association of America (BAA). In 1962, the franchise relocated to the San Francisco Bay Area and was renamed the San Francisco Warriors.
| Rosters |
|---|
| Chapionships |
Official Warriors Page This page has a great layout and adds alot of media content. The way the page flows of the page and links are great. Drop-down menus add a great navigation tool compaired to the outdated link tables on my page.


MIMIC
(MIRAMAX) RUNNING TIME: 1 HOUR 45 MINUTES STARRING MIRA SORVINO AND JEREMY NORTHAM DIRECTED BY GUILLERMO DEL TORO
Everyone knows that old rule, 'Never work with children and animals.' In this latest horror flick Mimic case, it's 'Never work with children and genetically enhanced killer animals' instead, as Mimic features both of these and succeeds in doing nothing except mildly engaging the audience. The film begins in New York, where we see children dying from a mysterious disease, which is being carried by cockroaches. Dr. Susan Tyler (Sorvino) creates a genetically enhanced bug (the 'Judas' breed) , however, which is designed to kill all cockroaches. The bug does it's job, the cockroaches all die, and the terror is gone. 'Three years later' appears on the screen, and we discover that the Judas breed is back, bigger than ever, and ready to kill. The spin on this bug, however, is that it can mimic it's predator, and in this case....it's humans. That should teach us for squishing all those bugs.
What should be a roller coaster ride with bugs everywhere, tons of gory deaths and some massive set pieces instead turns out to be a rather subdued, almost boring movie which plods along at a very slow pace. Perhaps the movie was trying to be thought provoking, and trying to avoid the 'Predator' type movie it could easily have become. If it is, then the director and writers have made the wrong move, because this is perfectly suited to be an all out action fest. The director, who bought us Cronos, a far superior film, directs the film in a calm, and frankly dull movie. There are few exciting sequences, instead just a lot of people talking. If the dialogue was intelligent, then it would be all right, but it's sadly babbling nonsense. In fact, the script is embarrsingly weak, and the characterizations not much better .Sorvino and company are as 2D as characters come, with the script not bothering to develop them. There is some action in this film, but it's directed in such an annoying way, it's just infuriating to watch. The camera cuts all over the place, disoreitating the audience, and instead of involving the audience in the action, it merely alienates them.
The peformances are O.K, if slightly below average. Sorvino is O.K, although she's not very good at conveying terror, or anything emotion really.  Their reasonable good fun, however. Mimic, then, may fail with it's story, pacing and characters, but the film does look good. Like Dark City, Mimic is a definite case of style of content. It may be a bit too gloomy for it's own good, but the sets look nice, and parts of the film are directed well. But looks aren't good enough to save Mimic from the depths of mediocre, somewhere where it shouldn't really belong. A good opportunity, then, wasted. A shame. OVERALL RATING=** OUT OF ***** REVIEW BY DAVID WILCOCK ©1998
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