Match Play. Red leads 4-3 to 7. How should Red play 44?
pips Red=153 White=107
(CorrectAnswer= 0/0, ErrorScore= 0)
Behind in the race, Red must attack and so 13/5* is mandatory. The question then is whether to make Red’s 4-pt or White’s 5-pt.
“When on attack, attack; when defending, defend” is an oft quoted backgammon adage and here it would serve you well. This is no time for half-way measures and 13/15*, 8/4(2) is the play.
24/20(2), 13/5* is nearly a double blunder and 24/20(2), 11/7, 8/4, which is way too passive, is also a very big blunder.
“When on attack, attack; when defending, defend” is an oft quoted backgammon adage and here it would serve you well. This is no time for half-way measures and 13/15*, 8/4(2) is the play.
24/20(2), 13/5* is nearly a double blunder and 24/20(2), 11/7, 8/4, which is way too passive, is also a very big blunder.
1. Cubeful 2-ply 13/5* 8/4(2) Eq.: -0.397 0.412 0.089 0.002 - 0.588 0.216 0.034 2. Cubeful 2-ply 24/20(2) 11/7 8/4 Eq.: -0.529 (-0.133) 0.279 0.036 0.001 - 0.721 0.104 0.003 3. Cubeful 2-ply 13/5* 6/2(2) Eq.: -0.537 (-0.140) 0.361 0.066 0.002 - 0.639 0.221 0.031 4. Cubeful 2-ply 24/20(2) 13/5* Eq.: -0.541 (-0.145) 0.342 0.050 0.001 - 0.658 0.192 0.007 5. Cubeful 2-ply 13/5* 11/7 8/4 Eq.: -0.554 (-0.157) 0.364 0.065 0.002 - 0.636 0.234 0.032


In this project, I'd like to build a book searching platform. Users can find books here and add to them into bookshelf. Also, users can check others' bookshelves
| Feature | Description |
|---|---|
| Login | login, sigh up and logout the account |
| Book Search | Searching books by Google Book API |
| Book detial | Show detail of specific book |
| Follow | Follow one user to view his bookshelf |
| Like | Add a book to my bookshelf |


gnupg_encrypt (PECL gnupg >= 0.1) gnupg_encrypt — Encrypts a given text 说明 string gnupg_encrypt ( resource $identifier , string $plaintext ) Encrypts the given plaintext with the keys, which were set with gnupg_addencryptkey before and returns the encrypted text. 参数 identifier gnupg 标识符，由对 gnupg_init() 或 gnupg 的调用生成。 plaintext The text being encrypted. 返回值 On success, this function returns the encrypted text. On failure, this function returns FALSE. 范例 Example #1 Procedural gnupg_encrypt() example Example #2 OO gnupg_encrypt() example addencryptkey("8660281B6051D071D94B5B230549F9DC851566DC"); $enc = $gpg -> encrypt("just a test"); echo $enc; ?> User Contributed Notes 6 notes =============================================================================== After spending some time trying to get this extension to work, I've found that you have to have the GNUPGHOME environment variable set so that the keychain can be found, and have it set equal to the .gnupg directory itself, not the apache/httpd user's home directory (which is what is shown in dan's example code). below is an example of this and a simple function I was working on at the time to encrypt a piece of data for storage in a database. =============================================================================== // to generate a key type in gpg --gen-key in the command line // to export public key gpg --export -a "User Name" > public.key seterrormode(gnupg::ERROR_EXCEPTION); $info = $gpg->import($publicKey); $gpg->addencryptkey($info['fingerprint']); $uploadFileContent = file_get_contents('/tmp/file-to-encrypt'); $enc = $gpg->encrypt($uploadFileContent); echo $enc Hope this helps =============================================================================== This is a simple example of a Procedural use of import addencryptkey and encrypt. Obviously in a real world use you would only be importing the key once.
\n"; var_dump($res); echo "\n"; $rtv = gnupg_import($res, $pubkey); echo "gnupg_import RTV =
\n"; var_dump($rtv); echo "\n"; $rtv = gnupg_addencryptkey($res, "C25F29936D9046D73A77DCF8244F423AED8F1481"); echo "gnupg_addencryptkey RTV =
\n"; var_dump($rtv); echo "\n"; $enc = gnupg_encrypt($res, "just a test to see if anything works"); echo "Encrypted Data: " . $enc . "
' . $ciphertext . ''; file_put_contents('/tmp/ciphertext.gpg', $ciphertext); } catch (Exception $e) { die('ERROR: ' . $e->getMessage()); } ?> Decryption The Mail seterrormode(gnupg::ERROR_EXCEPTION); // recipient's email address $recipient =<EMAIL_ADDRESS>// ciphertext message $ciphertext = file_get_contents('/tmp/ciphertext.gpg'); // register secret key by providing passphrase // decrypt ciphertext with secret key // display plaintext message try { $gpg->adddecryptkey($recipient, 'guessme'); $plaintext = $gpg->decrypt($ciphertext); echo '
' . $plaintext . ''; } catch (Exception $e) { die('ERROR: ' . $e->getMessage()); } ?> =============================================================================== Hi I found that the apache or httpd user (or whichever user the webserver is using to run) needed to have write access to the .gnupg directory for the gnupg_php functions to work. This could be your problem. It seems a rather unsatisfactory feature of this module - gnupg keeps giving warnings that it is unsafe. =============================================================================== Very nice function, yet I cant seem to get it to work correctly. Here is what I have.. /** * Test Values. Will be grabbed from database. */ $_STR_recipientKeyId='78F21BCA81042C23'; // This is a wrapper class I made that engulfs the gnupg class if(!class_exists('core_Gnupg')){ require(CORE_PATH_CLASS.'Gnupg.class.php'); } //$_OBJ_gpg is just an instantiation of that class. //returnInfo takes in the userID name, and uses the keyinfo() //function to return an array of data for that user. $_ARR_keyinfo=$_OBJ_gpg->returnInfo($_STR_recipientUserId); //now I have the fully functional userid //ex: Jonathan Kushner


Atmosphere SwaggerSocket for CXF Greeter
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Looking for a summary on any Topic!!!
Briefly provides summary from wikipedia for you
Enter your Topic below... e.g. Narendra Modi, India, Delhi Sultanate, Gondwana, Latitude, Arctic Circle, Obama, Sachin Tendulkar, Einstein, NASA, ISRO, Gross domestic product, Coronavirus, Oncology, Body mass index...


An implementation of the generalized graded unfolding model (GGUM) in R, see Roberts, Donoghue, and Laughlin (2000) <doi:10.1177/01466216000241001>). It allows to simulate data sets based on the GGUM. It fits the GGUM and the GUM, and it retrieves item and person parameter estimates. Several plotting functions are available (item and test information functions; item and test characteristic curves; item category response curves). Additionally, there are some functions that facilitate the communication between R and 'GGUM2004'. Finally, a model-fit checking utility, MODFIT(), is also available.
| Version: | 0.3.3 |
| Imports: | stats, utils, psych, abind, viridis, Rdpack, xlsx |
| Published: | 2018-10-04 |
| Author: | Jorge N. Tendeiro [aut, cre], Sebastian Castro-Alvarez [aut] |
| Maintainer: | Jorge N. Tendeiro <j.n.tendeiro at rug.nl> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | http://github.com/jorgetendeiro/GGUM |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | GGUM results |
| Reference manual: | GGUM.pdf |
| Package source: | GGUM_0.3.3.tar.gz |
| Windows binaries: | r-devel: GGUM_0.3.3.zip, r-release: GGUM_0.3.3.zip, r-oldrel: GGUM_0.3.3.zip |
| OS X binaries: | r-release: GGUM_0.3.3.tgz, r-oldrel: GGUM_0.3.3.tgz |
| Old sources: | GGUM archive |
Please use the canonical form https://CRAN.R-project.org/package=GGUM to link to this page.


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Syntax Highlightinh
As a developer, I want to be able to look at syntax highlighted raw wasm.
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Trajectories¶
Data stored in contiguous ragged array format, such as from Kevin Hodges's TRACK program, can be plotted using cf-plot.
Example 39 - basic track plotting¶
import cf
import cfplot as cfp
f=cf.read('cfplot_data/ff_trs_pos.nc')[0]
cfp.traj(f)
Here a plot of relative vorticity tracks is made in the cylindrical projection.
Example 40 - tracks in the polar stereographic projection¶
import cf
import cfplot as cfp
f=cf.read('cfplot_data/ff_trs_pos.nc')[0]
cfp.mapset(proj='npstere')
cfp.traj(f)
Example 41 - feature propagation over Europe¶
import cf
import cfplot as cfp
f=cf.read('cfplot_data/ff_trs_pos.nc')[0]
cfp.mapset(lonmin=-20, lonmax=20, latmin=30, latmax=70)
cfp.traj(f, vector=True, markersize=0.0, fc='b', ec='b')
Data with lots of tracks takes several seconds to plot as the direction vectors have to be plotted individually whether they are on the plot or not.
Example 42 - intensity legend¶
import cf
import cfplot as cfp
f=cf.read('cfplot_data/ff_trs_pos.nc')[0]
cfp.mapset(lonmin=-50, lonmax=50, latmin=20, latmax=80)
g=f.subspace(time=cf.wi(cf.dt('1979-12-01'), cf.dt('1979-12-10')))
g=g*1e5
cfp.levs(0, 12, 1, extend='max')
cfp.cscale('scale1', below=0, above=13)
cfp.traj(g, legend=True, linewidth=2, colorbar_title='Relative Vorticity (Hz) * 1e5')
In this plot the tracks between 1979-12-01 and 1979-12-30 are selected and labelled according intensity with a colorbar.
Example 42a - intensity legend with lines¶
import cf
import cfplot as cfp
f=cf.read('cfplot_data/ff_trs_pos.nc')[0]
cfp.mapset(lonmin=-50, lonmax=50, latmin=20, latmax=80)
g=f.subspace(time=cf.wi(cf.dt('1979-12-01'), cf.dt('1979-12-10')))
g=g*1e5
cfp.levs(0, 12, 1, extend='max')
cfp.cscale('scale1', below=0, above=13)
cfp.traj(g, legend_lines=True, linewidth=2, colorbar_title='Relative Vorticity (Hz) * 1e5')
Selecting legend_lines=True plots lines only and colours them according to the sum of the start and end point divided by two. This can be a useful option when there are lots of trajectories.


An Garda Síochána
Gardaí confirm missing teen thought to be in Dundalk found safe and well
Linda Mhelembe had been missing since October 23
by Donard McCabeGardaí have confirmed that missing 17 year old teen, Linda Mhelembe from Galway, has been found safe and well.
The teen had been missing from the Doughiska Road area of Galway since Wednesday October 23, 2019, but was thought to be in the Dundalk or Dublin area.
An Garda Síochána say they would like to thank the public for its assistance in this matter.


AimX is about creating a scalable automated interface for homes/buildings everywhere With this technology anyone would be able to monitor and customize their home to their preferences. With the Internet of Things and home appliances
Smart monitoring would allow for the homes power, water, and A/C data to all be preform optimally
Automation is as simple as configuring options such as: turning on the exterior lights when the sun goes down or turning off irrigation when it starts to rain.


Startup is a company ... We'd love to hear from our customers. Please no hesitate contact us and say out your own opinion!


President Nelson Rolihlahla Mandela
Life Of Nelson Mandela
-
Born
1918
Born Rolihlahla Mandela at Mvezo in the Transkei
-
Traditional Initiation
1934
Undergoes initiation; Attends Clarkebury Boarding Institute in Engcobo
-
Tetiary Education
1939
Enrols at the University College of Fort Hare, in Alice
-
Involvement in politics
1942
Begins to attend African National Congress (ANC) meetings informally
-
Imprisonment
1951
Arrested and later joins 155 others on trial for teason. All are acquitted by 29 March 1961
-
Election as President
1994
Elected by Parliament as first president of a democratic South Africa
-
Death of a legend
2013
Passes away at home in Johannesburg
Learn more about President Nelson Mandela on his biography .


import
statements which refer to the same package as the
containing file.
Same-package files are always implicitly imported, so such import
statements are redundant and confusing.
Since IDEA can automatically detect and fix such statements with its "Optimize Imports" command, this inspection is mostly useful for off-line reporting on code bases that you don't intend to change.


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name
- Variable in class yeti.monitoring.
YetiGraph
Stores the title of the graph.
name
- Variable in class yeti.monitoring.
YetiRoutineGraph
Stores the title of the graph.
NEW_INSTANCES_INJECTION_PROBABILITY
- Static variable in class yeti.
YetiStrategy
Probability to generate a new instance rather than use an old one.
newSerieOfLog()
- Method in class yeti.
YetiLogProcessor
Adds the currentLog to the logs and reinitializes currentLog.
nMSBetweenUpdates
- Variable in class yeti.monitoring.
YetiGraphFaultsOverTime
The number of ms between updates.
nMSBetweenUpdates
- Variable in class yeti.monitoring.
YetiGraphNumberOfCallsOverTime
The number of ms between updates.
nMSBetweenUpdates
- Variable in class yeti.monitoring.
YetiGraphNumberOfFailuresOverTime
The number of ms between updates.
nMSBetweenUpdates
- Variable in class yeti.monitoring.
YetiGraphNumberOfVariablesOverTime
The number of ms between updates.
nMSBetweenUpdates
- Variable in class yeti.monitoring.
YetiGUI
The timeout between updates.
nMSBetweenUpdates
- Variable in class yeti.monitoring.
YetiSampler
The timeout between updates.
NoCreationRoutineInType
- Exception in
yeti
Class that represents the fact that there is no routine for a building a type.
NoCreationRoutineInType(String)
- Constructor for exception yeti.
NoCreationRoutineInType
Constructor that takes the type name.
nThreadsStarted
- Static variable in class yeti.environments.csharp.
YetiCsharpTestManager
Number of worker threads started by the infrastructure
nThreadsStarted
- Static variable in class yeti.environments.java.
YetiJavaTestManager
Number of worker threads started by the infrastructure
nThreadsStopped
- Static variable in class yeti.environments.csharp.
YetiCsharpTestManager
Number of worker threads stopped by the infrastructure
nThreadsStopped
- Static variable in class yeti.environments.java.
YetiJavaTestManager
Number of worker threads stopped by the infrastructure
nTimesCalled
- Variable in class yeti.
YetiRoutine
Tracks how many calls were made to this routine.
nTimesCalledSuccessfully
- Variable in class yeti.
YetiRoutine
Tracks how many successful calls were made to this routine.
nTimesCalledUndecidable
- Variable in class yeti.
YetiRoutine
Tracks how many undecidable calls were made to this routine.
nTimesCalledUnsuccessfully
- Variable in class yeti.
YetiRoutine
Tracks how many unsuccessfully calls were made to this routine.
numberOfCalls
- Static variable in class yeti.
YetiLog
The total number of calls.
numberOfCalls
- Variable in class yeti.
YetiLogProcessor
The number of routine calls.
numberOfErrors
- Static variable in class yeti.
YetiLog
The total number of errors.
numberOfErrors
- Variable in class yeti.
YetiLogProcessor
The number of (non-unique) failures found so far.
numberOfNonErrors
- Variable in class yeti.
YetiLogProcessor
The number of errors in the listOfErrors that are actually acceptable errors.
nVariables
- Static variable in class yeti.
YetiVariable
The number of variables created in the system (instances used for testing)
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Task
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| Home | Libraries | People | FAQ | More |
Boost.Fiber provides a bounded, concurrent queue (MPMC) suitable to synchonize fibers via message passing between threads. The capacity of the internal ring buffer determines if enqueue- or dequeue- operation will be lock-free. If the internal buffer has space left, e.g. the queue is not full, the enqueue-operation is lock-free for the producer. Until the queue is not empty, a dequeue-operation guaranteed to be lock-free for the consumer.
typedef boost::fibers::concurrent_queue< int > queue_t; void send( queue_t & queue) { for ( int i = 0; i < 5; ++i) { queue.push( i); } queue.close(); } void recv( queue_t & queue) { int i; while ( boost::fibers::queue_op_status::success == queue.pop(i) ) { std::cout << "received " << i << std::endl; } } queue_t queue{ 1 }; boost::fibers::fiber f1( std::bind( send, ref( queue) ) ); boost::fibers::fiber f2( std::bind( recv, ref( queue) ) ); f1.join(); f2.join();
queue_op_status
queue operations return the state of the queue.
enum class queue_op_status { success, empty, full, closed, timeout };
success
Operation was successful.
empty
queue is empty, operation failed.
full
queue is full, operation failed.
closed
queue is closed, operation failed.
timeout
The operation did not become ready before specified timeout elapsed.
concurrent_queue<>
#include <boost/fiber/concurrent_queue.hpp> namespace boost { namespace fibers { template< typename T > class concurrent_queue { public: typedef T value_type; explicit concurrent_queue( std::size_t capacity); concurrent_queue( concurrent_queue const& other) = delete; concurrent_queue & operator=( concurrent_queue const& other) = delete; void close() noexcept; queue_op_status push( value_type const& va); queue_op_status push( value_type && va); template< typename Rep, typename Period > queue_op_status push_wait_for( value_type const& va, std::chrono::duration< Rep, Period > const& timeout_duration); queue_op_status push_wait_for( value_type && va, std::chrono::duration< Rep, Period > const& timeout_duration); template< typename Clock, typename Duration > queue_op_status push_wait_until( value_type const& va, std::chrono::time_point< Clock, Duration > const& timeout_time); template< typename Clock, typename Duration > queue_op_status push_wait_until( value_type && va, std::chrono::time_point< Clock, Duration > const& timeout_time); queue_op_status try_push( value_type const& va); queue_op_status try_push( value_type && va); queue_op_status pop( value_type & va); value_type value_pop(); template< typename Rep, typename Period > queue_op_status pop_wait_for( value_type & va, std::chrono::duration< Rep, Period > const& timeout_duration); template< typename Clock, typename Duration > queue_op_status pop_wait_until( value_type & va, std::chrono::time_point< Clock, Duration > const& timeout_time); queue_op_status try_pop( value_type & va); }; }}
explicit concurrent_queue( std::size_t capacity);
0 <
capacity
The constructor constructs an object of class concurrent_queue
with an internal buffer of size capacity
.
fiber_error
invalid_argument: if 0 >= capacity
.
A push()
,
push_wait_for()
or push_wait_until()
will not block until the number of
values in the queue becomes equal to capacity
.
close
()
void close() noexcept;
Deactivates the queue. No values can be put after calling this->close()
.
Fibers blocked in this->pop()
, this->pop_wait_for()
or this->pop_wait_until()
will return closed
.
Fibers blocked in this->value_pop()
will receive an exception.
Nothing.
close()
is like closing a pipe. It informs waiting consumers that no more values
will arrive.
push
()
queue_op_status push( value_type const& va); queue_op_status push( value_type && va);
If queue is closed, returns closed
.
Otherwise enqueues the value in the queue, wakes up a fiber blocked
on this->pop()
,
this->value_pop()
,
this->pop_wait_for()
or this->pop_wait_until()
and returns success
.
Exceptions thrown by copy- or move-operations.
pop
()
queue_op_status pop( value_type & va);
Dequeues a value from the queue. If the queue is empty, the fiber gets
suspended until at least one new item is push()
ed (return value success
and va
contains dequeued
value) or the queue gets close()
d (return value closed
).
Exceptions thrown by copy- or move-operations.
value_pop
()
value_type value_pop();
Dequeues a value from the queue. If the queue is empty, the fiber gets
suspended until at least one new item is push()
ed or the queue gets close()
d
(which throws an exception).
fiber_error
if *this
is closed or by copy- or move-operations.
std::errc::operation_not_permitted
try_pop
()
queue_op_status try_pop( value_type & va);
If queue is empty, returns empty
.
If queue is closed, returns closed
.
Otherwise it returns success
and va
contains the
dequeued value.
Exceptions thrown by copy- or move-operations.
pop_wait_for
()
template< typename Rep, typename Period > queue_op_status pop_wait_for( value_type & va, std::chrono::duration< Rep, Period > const& timeout_duration)
Accepts std::chrono::duration
and internally computes
a timeout time as (system time + timeout_duration
).
If queue is not empty, immediately dequeues a value from the queue.
Otherwise the fiber gets suspended until at least one new item is
push()
ed
(return value success
and va
contains dequeued
value), or the queue gets close()
d (return value closed
),
or the system time reaches the computed timeout time (return value
timeout
).
timeout-related exceptions or by copy- or move-operations.
pop_wait_until
()
template< typename Clock, typename Duration > queue_op_status pop_wait_until( value_type & va, std::chrono::time_point< Clock, Duration > const& timeout_time)
Accepts a std::chrono::time_point<
Clock,
Duration >
.
If queue is not empty, immediately dequeues a value from the queue.
Otherwise the fiber gets suspended until at least one new item is
push()
ed
(return value success
and va
contains dequeued
value), or the queue gets close()
d (return value closed
),
or the system time reaches the passed time_point
(return value timeout
).
timeout-related exceptions or by copy- or move-operations.


Slaying in style: Janhvi Kapoor sets the temperature soaring as she gets snapped in stunning black athleisure
by TIMESOFINDIA.COMNot only is Janhvi Kapoor proving her acting skills on the celluloid but the young starlet has also become a fashionista within no time. From her casual yet trendy airport looks to her athleisure wear, Janhvi has become one of the most stylish divas in Bollywood.
Today too she was snapped outside her gym in a stunning black athleisure and she even flashed her infectious smile at the paparazzi who were trying to take pictures of her.
Within no time the 'Dhadak' star, who is a fitness freak turned workout outfits into style statements. Joining the likes of Malaika Arora, Kareena Kapoor Khan and other actresses in the glamorous industry, Janhvi is here to stay and slay.
Meanwhile, on the work front, Janhvi has her kitty full with some interesting projects like 'Gunjan Saxena - The Kargil Girl', 'RoohiAfza', 'Dostana 2' and Karan Johar’s magnum opus film 'Takht'.


Check out the specifications of the Moto Razr foldable smartphone
by Peter HoldenAs folding phones go the Moto Razr stands apart in terms of its clamshell design when compared with Samsung’s Galaxy Fold and Huawei’s Mate X. But, if you compare the specifications in the cold light of day, the Moro Razr certainly appears to be a step below. With all the nostalgic, sentimental, gooey-eyed feelings towards the Razr, is it a case where the sum is greater than the parts? As in, is it worth paying the $1,500 price tag purely for the idea of the Moto Razr and its modern, foldable design? Join us below to check out the mid-range specs of the Razr handset.
| Moto Razr (2019) | |
|---|---|
| Announced | November 12, 2019 |
| Released | January, 2020 |
| Formfactor | Folding Clamshell Design |
| Software | Android 9 Pie |
| External Display | 2.7-inch gOLED, 600 x 800 resolution, 4:3 aspect ratio |
| Main Display | 6.2-inch foldable Flex View pOLED, 2142 x 876 resolution, 21:9 Cinemavision (aspect ratio) |
| Processor | Qualcomm Snapdragon 710 octa-core |
| Memory | 6GB RAM |
| Storage | 128GB |
| Rear Camera | 16MP, f/1.7, 1.22um, EIS, Dual Pixel autofocus (AF), Laser AF, Color Correlated Temperature (CCT) dual LED flash |
| Front Camera | 5MP, f/2.0, 1.12um, screen flash |
| Sensors | Fingerprint reader, Accelerometer, Magnetometer (compass), Gyro, Proximity, Ambient Light, GPS, Ultrasonics |
| SIM-type | e-SIM |
| Connectivity | NFC, Bluetooth 5.0, 802.11 a/b/g/n/ac, WiFi (2.4 & 5GHz) |
| Battery | 2,510mAh, USB Type-C charging port, 15W TurboPower Charging |
| Dimensions | Unfolded: 72 x 172 x 6.9mm, Folded: 72 x 94 x 14mm |
| Weight | 205g |
| Colors | Noir Black |
| In The Box | Razr, Razr earbuds, accessories case, TurboPower charger, USB-C cable, headset adapter cable, guides |
| Price | $1,500 |
Don’t forget to check out the behind-the-scenes story of how Motorola came to design the Moto Razr folding smartphone, and let us know your thoughts on the handset and its pricing in the comments below.
[Deal] This Bestek 8-outlet surge protector is on sale for $20 on Amazon right now
Brave Browser is out of beta with version 1.0
Sony is preparing to launch the Xperia 3 with a curved back and 5G support


Spatial reference systems by coordinates provide necessary information for mapping numerical coordinate values to real-world locations. In Apache SIS, most information is contained (directly or indirectly) in classes with a name ending in CRS, the abbreviation of Coordinate Reference System. Those objects contain:
Those systems are described by the ISO 19111 standard (Referencing by Coordinates), which replaces for most parts the older OGC 01-009 standard (Coordinate Transformation Services). Those standards are completed by two other standards defining exchange formats: ISO 19136 and 19162 respectively for the Geographic Markup Language (GML) — a XML format which is quite detailed but verbose — and the Well-Known Text (WKT) — a text format easier to read by humans.
Since the real topographic surface is difficult to represent mathematically, it is not used directly. A slightly more convenient surface is the geoid, a surface where the gravitational field has the same value everywhere (an equipotential surface). This surface is perpendicular to the direction of a plumb line at all points. The geoid surface would be equivalent to the mean sea level if all oceans where at rest, without winds or permanent currents like the Gulf Stream.
While much smoother than topographic surface, the geoid surface still have hollows and bumps
caused by the uneven distribution of mass inside Earth.
For more convenient mathematical operations, the geoid surface is approximated by an ellipsoid.
This “figure of Earth” is represented in GeoAPI by the Ellipsoid
interface,
a fundamental component in coordinate reference systems of kind GeographicCRS
and ProjectedCRS
.
Tenth of ellipsoids are commonly used for datum definitions.
Some of them provide a very good approximation for a particular geographic area
at the expense of the rest of the world for which the datum was not designed.
Other datums are compromises applicable to the whole world.
Example: the EPSG geodetic dataset defines among others the “WGS 84”, “Clarke 1866”, “Clarke 1880”, “GRS 1980” and “GRS 1980 Authalic Sphere” (a sphere of same surface than the GRS 1980 ellipsoid). Ellipsoids may be used in various places of the world or may be defined for a very specific region. For example in USA at the beginning of XXth century, the Michigan state used an ellipsoid based on the “Clarke 1866” ellipsoid but with axis lengths expanded by 800 feet. This modification aimed to take in account the average state height above mean sea level.
The main properties that we can get from an ellipsoid are given below. The semi-major axis length is sometime called equatorial radius and the semi-minor axis length the polar radius. The inverse flattening factor is apparently superfluous since it can be derived from other quantities, but many ellipsoid definitions provide this factor instead of semi-minor axis length.
Unit<Length> units = ellipsoid.getAxisUnit()
;
double semiMajor = ellipsoid.getSemiMajorAxis()
; // In units of measurement given above.
double semiMinor = ellipsoid.getSemiMinorAxis()
; // In units of measurement given above.
double ivf = ellipsoid.getInverseFlattening()
; // = semiMajor / (semiMajor - semiMinor).
For defining a geodetic system in a country, a national authority selects an ellipsoid matching closely the country surface.
Differences between that ellipsoid and the geoid’s hollows and bumps are usually less than 100 metres.
Parameters that relate an Ellipsoid
to the Earth surface (for example the position of ellipsoid center)
are represented by instances of GeodeticDatum
.
Many GeodeticDatum
definitions can use the same Ellipsoid
,
but with different orientations or center positions.
Before the satellite era, geodetic measurements were performed exclusively from Earth surface. Consequently, two islands or continents not in range of sight from each other were not geodetically related. So the North American Datum 1983 (NAD83) and the European Datum 1950 (ED50) are independent: their ellipsoids have different sizes and are centered at a different positions. The same geographic coordinate will map different locations on Earth depending on whether the coordinate uses one reference system or the other.
The GPS invention implied the creation of a
world geodetic system named WGS84.
The ellipsoid is then unique and centered at the Earth gravity center.
GPS provides at any moment the receptor absolute position on that world geodetic system.
But since WGS84 is a world-wide system, it may differs significantly from local systems.
For example the difference between WGS84 and the European system ED50 is about 150 metres,
and the average difference between WGS84 and the Réunion 1947 system is 1.5 kilometres.
Consequently we shall not blindly use GPS coordinates on a map,
as transformations to the local system may be required.
Those transformations are represented in GeoAPI by instances of the Transformation
interface.
The WGS84 ubiquity tends to reduce the need for Transformation
operations with recent data,
but does not eliminate it.
The Earth moves under the effect of plate tectonic and new systems are defined every years for taking that fact in account.
For example while NAD83 was originally defined as practically equivalent to WGS84,
there is now (as of 2016) a 1.5 metres difference.
The Japanese Geodetic Datum 2000 was also defined as practically equivalent to WGS84,
but the Japanese Geodetic Datum 2011 now differs.
Even the WGS84 datum, which was a terrestrial model realization at a specific time,
got revisions because of improvements in instruments accuracy.
Today, at least six WGS84 versions exist.
Furthermore many borders were legally defined in legacy datums, for example NAD27 in USA.
Updating data to the new datum would imply transforming some straight lines or simple geometric shapes
into more irregular shapes, if the shapes are large enough.
Contrarily to other kinds of objects introduced in this section,
there is not many useful information that we can get from a Datum
instance except its name.
It is difficult to translate in programming language how a datum is related to the Earth.
Often, the most we can do is to consider that having two datums with different names implies that the same location on Earth
has different coordinate values when using those different datums, even if the ellipsoid is identical in both cases.
Coordinate transformations between datums require some kind of database.
A Coordinate System (CS) defines the set of axes that spans a given coordinate space.
Each axis defines an approximative direction (north, south, east, west, up, down, port, starboard, past, future, etc.),
units of measurement, minimal and maximal values, and what happen after reaching those extremum.
For example in longitude case, after +180° the coordinate values continue at −180°.
But such loops may also exist in time axis. For example in climatological data defining normal temperatures,
after December the data sequence restarts to January; those months are associated to no particular year.
Axes having such behavior are associated to the RangeMeaning.WRAPAROUND
code.
Some properties that we can get from a coordinate system and its axes are shown below.
Axes are numbered from 0 to cs.getDimension()-1
inclusive.
CoordinateSystem cs = crs.getCoordinateSystem();
CoordinateSystemAxis secondAxis = cs.getAxis(1); // For a geographic CRS, this is usually geodetic longitude.
String abbreviation = secondAxis.getAbbreviation(); // For a longitude axis, this is usually "λ", "L" or "lon".
AxisDirection direction = secondAxis.getDirection(); // For a longitude axis, this is usually EAST. Another occasional value is WEST.
Unit<?> units = secondAxis.getUnit(); // For a longitude axis, this is usually Units.DEGREE.
double minimum = secondAxis.getMinimumValue(); // For a longitude axis, this is usually −180°. Another common value is 0°.
double maximum = secondAxis.getMaximumValue(); // For a longitude axis, this is usually +180°. Another common value is 360°.
RangeMeaning atEnds = secondAxis.getRangeMeaning(); // For a longitude axis, this is WRAPAROUND.
In addition to axis definitions, another important coordinate system characteristic is their type
(CartesianCS
, SphericalCS
, etc.).
The CS type implies the set of mathematical rules for calculating geometric quantities like angles, distances and surfaces.
Usually the various CS subtypes do not define any new Java methods compared to the parent type,
but are nevertheless important for type safety.
For example many calculations or associations are legal only when all axes are perpendicular to each other.
In such case the coordinate system type is restricted to CartesianCS
in method signatures.
Coordinate systems are mathematical concepts; they do not contain any information about where on Earth is located the system origin. Consequently coordinate systems alone are not sufficient for describing a location; they must be combined with a datum (or reference frame). Those combinations form the coordinate reference systems described in next sections.
The axis order is specified by the authority (typically a national agency) defining the Coordinate Reference System (CRS).
The order depends on the CRS type and the country defining the CRS.
In the case of geographic CRS, the (latitude, longitude) axis order is widely used by geographers and pilots for centuries.
However software developers tend to consistently use the (x, y) order for every kind of CRS.
Those different practices resulted in contradictory definitions of axis order for almost every CRS of kind GeographicCRS
,
for some ProjectedCRS
in the South hemisphere (South Africa, Australia, etc.) and for some polar projections among others.
Recent OGC standards mandate the use of axis order as defined by the authority.
Oldest OGC standards used the (x, y) axis order instead, ignoring any authority specification.
Many software products still use the old (x, y) axis order,
maybe because such uniformization makes CRS implementation and usage apparently easier.
Apache SIS supports both conventions with the following approach:
by default, SIS creates CRS with axis order as defined by the authority.
Those CRS are created by calls to the CRS.forCode(String)
method
and the actual axis order can be verified after the CRS creation with System.out.println(crs)
.
But if (x, y) axis order is wanted for compatibility with older OGC specifications or other software products,
then CRS forced to longitude first axis order can be created by a call to the following method:
CoordinateReferenceSystem crs = …; // CRS obtained by any means.
crs = AbstractCRS.castOrCopy(crs).forConvention(AxesConvention.RIGHT_HANDED)
Among the legacy OGC standards that used the non-conform axis order,
an influent one is version 1 of the Well Known Text (WKT) format specification.
According that widely-used format, WKT 1 definitions without explicit AXIS[…]
elements
shall default to (longitude, latitude) or (x, y) axis order.
In version 2 of WKT format, AXIS[…]
elements are no longer optional
and should contain an explicit ORDER[…]
sub-element for making the intended order yet more obvious.
But if AXIS[…]
elements are nevertheless missing in a WKT 2 definition,
Apache SIS defaults to (latitude, longitude) order.
So in summary:
To avoid ambiguities, users are encouraged to always provide explicit AXIS[…]
elements in their WKT.
The WKT format will be presented in more details in the next sections.
There is many kinds of latitudes and longitudes. Two common kinds supported by Apache SIS are geodetic and geocentric latitudes. Those two angles differ slightly in the way they intersect the ellipsoid surface. On Earth surface, the difference between those two kinds of latitude varies between 0 and about 20 km.
When peoples talk about latitudes and longitudes, they usually mean geodetic latitudes and longitudes.
A coordinate reference systems using such latitudes and longitudes is said geographic
and is represented by the GeographicCRS
interface.
Systems using the other kinds of latitude are represented by other CRS interfaces.
TODO
Map projections represent a curved surface (the Earth) on a plane surface (a map or a computer screen) with some control over deformations: one can preserve either the angles or the areas, but not both in same time. The geometric properties to preserve depend on the feature to represent and the work to do on that feature. For example countries elongated along the East-West axis often use a Lambert projection, while countries elongated along the North-South axis prefer a Transverse Mercator projection.
TODO
TODO
TODO
TODO


10.9. Deletion (WORK IN PROGRESS)¶
10.9.1. Deletion¶
When deleting records from a hash table, there are two important considerations.
Deleting a record must not hinder later searches. In other words, the search process must still pass through the newly emptied slot to reach records whose probe sequence passed through this slot. Thus, the delete process cannot simply mark the slot as empty, because this will isolate records further down the probe sequence.
We do not want to make positions in the hash table unusable because of deletion. The freed slot should be available to a future insertion.
Both of these problems can be resolved by placing a special mark in place of the deleted record, called a tombstone. The tombstone indicates that a record once occupied the slot but does so no longer. If a tombstone is encountered when searching along a probe sequence, the search procedure continues with the search. When a tombstone is encountered during insertion, that slot can be used to store the new record. However, to avoid inserting duplicate keys, it will still be necessary for the search procedure to follow the probe sequence until a truly empty position has been found, simply to verify that a duplicate is not in the table. However, the new record would actually be inserted into the slot of the first tombstone encountered.
Here is a practice exercise.
The use of tombstones allows searches to work correctly and allows reuse of deleted slots. However, after a series of intermixed insertion and deletion operations, some slots will contain tombstones. This will tend to lengthen the average distance from a record’s home position to the record itself, beyond where it could be if the tombstones did not exist. A typical database application will first load a collection of records into the hash table and then progress to a phase of intermixed insertions and deletions. After the table is loaded with the initial collection of records, the first few deletions will lengthen the average probe sequence distance for records (it will add tombstones). Over time, the average distance will reach an equilibrium point because insertions will tend to decrease the average distance by filling in tombstone slots. For example, after initially loading records into the database, the average path distance might be 1.2 (i.e., an average of 0.2 accesses per search beyond the home position will be required). After a series of insertions and deletions, this average distance might increase to 1.6 due to tombstones. This seems like a small increase, but it is three times longer on average beyond the home position than before deletions.
Two possible solutions to this problem are
Do a local reorganization upon deletion to try to shorten the average path length. For example, after deleting a key, continue to follow the probe sequence of that key and swap records further down the probe sequence into the slot of the recently deleted record (being careful not to remove any key from its probe sequence). This will not work for all collision resolution policies.
Periodically rehash the table by reinserting all records into a new hash table. Not only will this remove the tombstones, but it also provides an opportunity to place the most frequently accessed records into their home positions.
10.9.2. Hashing Deletion Summary Questions¶
Now here are some practice questions.
Congratulations! You have reached the end of the hashing tutorial. In summary, a properly tuned hashing system will return records with an average cost of less than two record accesses. This makes it the most effective way known to store a database of records to support exact-match queries. Unfortunately, hashing is not effective when implementing range queries, or answering questions like “Which record in the collection has the smallest key value?”


Reactive programming is a general programming term that is focused on reacting to changes, such as data values or events. It is an event-based model where data is pushed to the consumer, as it becomes available.
RxJava is a Reactive Programming library for composing asynchronous and event-based programs by using observable sequences, coupled with some other features like functional programming, and easy concurrency makes RxJava a useful library. RxJava is an alternative to the more limited ways of doing asynchronous code in the JDK, in order to be more efficient with resources and increase an application's capacity to serve large number of clients, without the headache of writing low-level concurrent or and parallelized code
Observable
An observer subscribes to an Observable then that observer reacts to whatever item or sequence of items the Observable emits. This pattern facilitates concurrent operations because it does not need to block while waiting for the Observable to emit objects, but instead it creates a sentry in the form of an observer that stands ready to react appropriately at whatever future time the Observable does so.
Observable is intended for push (reactive) but can also be used for pull (interactive). It is lazy rather than eager. It can be used asynchronously or synchronously. It can represent 0, 1, many, or infinite values or events over time.
You can introduce multithreading into observable operators by instructing operators to operate on particular Schedulers.
output : RxNewThreadScheduler-1 Observable test
Different Types of Scedhulers
- Schedulers.io() : Returns a default, shared Scheduler instance intended for IO-bound work.
- Schedulers.computation() : Returns a default, shared Scheduler instance intended for computational work.
- Schedulers.single() : Returns a default, shared, single-thread-backed Scheduler instance for work requiring strongly-sequential execution on the same background thread.
- Schedulers.newThread() : Returns a default, shared Scheduler instance that creates a new Thread for each unit of work.
Flowable
Flowable implements the Reactive-Streams Pattern and offers factory methods, intermediate operators and the ability to consume reactive dataflows and operates with Publishers.
Sample Flowable emitter :
Backpressure is when in an Flowable processing pipeline, some asynchronous stages can't process the values fast enough and need a way to tell the upstream producer to slow down. Flowable takes backpressure into consideration, Observable does not.
The Flowable hosts the default buffer size of 128 elements for operators, accessible via bufferSize(), that can be overridden globally via the system parameter rx2.buffer-size. Most operators, however, have overloads that allow setting their internal buffer size explicitly.


Customizable, semantic Material floating action button implemented as an Angularjs directive. Also available in vanilla html.
Shamelessly Openly inspired by Google Inbox, Evernote and Path.
To add Material Floating Buttons to any project just download or clone the repo from Github. Click on the yellow button here above for a code preview or choose an effect from the dropdown below and hover over any button on the corners of the screen.
To add Material Floating Buttons to any project just download the files from here below or clone the repo from Github.
git clone https://github.com/nobitagit/ng-material-floating-button.git
After referencing the styles in your header drop the MFB markup in your HTML like so:
<nav mfb-menu position="{{pos}}" effect="{{chosenEffect}}" label="your main button text here" active-icon="ion-edit" resting-icon="ion-plus-round"> <a mfb-button icon="icon-class" label="child button text"> </a> </nav>
The attributes provide the element configuration for position, labels and icons used. All the other styles and configurations are just css.
The best way to customise the styles is to build them directly from the source as the scss file is filled with customizable variables. From there choose your favorite colors and sizes and then compile the css.
If you use Grunt and have cloned the repo run npm init
and then grunt build
or grunt watch
to have automatic compilation.


Namespace FastEndpoints
Classes
EmptyRequest
a request dto that doesn't have any properties
EmptyResponse
a response dto that doesn't have any properties
Endpoint<TRequest>
use this base class for defining endpoints that only use a request dto and don't use a response dto.
Endpoint<TRequest, TResponse>
use this base class for defining endpoints that use both request and response dtos.
EndpointWithoutRequest
use this base class for defining endpoints that doesn't need a request dto. usually used for routes that doesn't have any parameters.
EndpointWithoutRequest<TResponse>
use this base class for defining endpoints that doesn't need a request dto but return a response dto.
ErrorResponse
the dto used to send an error response to the client
Event<TEvent>
event notification hub which uses an in-process pub/sub messaging system based on .net events
FastEventHandler<TEvent>
use this base class to handle events published by the notification system
FromAttribute
properties decorated with this attribute will have their values auto bound from the relevant claim of the current user principal
FromClaimAttribute
properties decorated with this attribute will have their values auto bound from the relevant claim of the current user principal
HttpClientExtensions
a set of extensions to the httpclient in order to facilitate route-less integration testing
MainExtensions
provides extensions to easily bootstrap fastendpoints in the asp.net middleware pipeline
Interfaces
IPostProcessor<TRequest, TResponse>
interface for defining post-processors to be executed after the main endpoint handler is done
IPreProcessor<TRequest>
interface for defining pre-processors to be executed before the main endpoint handler is called
IRequest<TEntity>
use this interface to add functionality to easily map a request dto to a given entity
IResponse<TEntity>
use this interface to populate a response dto from a given entity
Enums
Http
enum for specifying a http verb
Mode
enum for specifying the waiting mode for event notifications


Simply link to paper.min.css
(the bootstrap file included here is just for this demo page, and an .scss file is also included for those wishing more advanced customization).
The following classes are available in addition to the default .paper
class. Include the default .paper
class along with optional paper treatment and color. So for example you might have:

Add optional .paper-sm
or .paper-lg
classes for sizing. Note that these paper pieces have the same basic styling (padding, margin, and min-height) as Bootstrap wells. They expand to fit whatever they're put inside (for example, Bootstrap grid columns), and can accomodate any type and amount of content.
Depending on your content, you may wish to add .paper > p:last-child { margin-bottom: 0; }
to your stylesheet (I do this for Bootstrap's wells too; it removes the last paragraph's 10px margin-bottom).
These are supported on all modern desktop and mobile browsers. IE8 supports none of these effects, but still gets basic styling (padding, margin), along with color and sizing options.
Code licensed under the MIT License
Designed and built with all the buzz in the world @itmustbe


Function as a Service
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class: center, middle, inverse, title-slide # Deep Learning using R ### Curso-R ### 2018-11-12 --- # Goals * What are deep neural networks and how they work? * What software we can use to train these models and how they relate with each other? * How train deep learning models for some prediction problems? --- # Requisites * Linear regression * Logistic regression * R: pipe (`%>%`) --- # References * [Deep Learning Book](https://www.deeplearningbook.org) * [Deep Learning with R](https://www.manning.com/books/deep-learning-with-r) * [Tensorflow for R Blog](https://blogs.rstudio.com/tensorflow/) * [Keras examples](https://keras.rstudio.com/articles/examples/index.html) * [Colah's blog](http://colah.github.io) ![](https://images-na.ssl-images-amazon.com/images/I/61fim5QqaqL._SX373_BO1,204,203,200_.jpg) --- # Why "Deep" Learning? * We use many composite nonlinear operations, called *layers*, to learn a representation * The number of layers is the model depth * Nowadays we have models with more than 100 layers -- ## Alternative names - layered representations learning - hierarchical representations learning --- # Layers ![](https://user-images.githubusercontent.com/4706822/48164108-b9013200-e2c8-11e8-86ef-652bd7f6b19a.png) --- # Deep Learning ![](https://user-images.githubusercontent.com/4706822/48164481-c834af80-e2c9-11e8-97d9-6cf234454aa2.png) --- # Deep Learning ![](https://user-images.githubusercontent.com/4706822/48164502-d5ea3500-e2c9-11e8-8dea-150dff09131b.png) --- # Deep Learning ![](https://user-images.githubusercontent.com/4706822/48164527-e4d0e780-e2c9-11e8-91b5-1490cd3eca92.png) --- # Relation to Generalized Linear Models - Linear regression: single layer neural network, no activation - Logistic regression: single layer neural netork, logit activation --- # Logistic regression  --- ## Deviance function `$$D(y,\hat\mu(x)) = \sum_{i=1}^n 2\left[y_i\log\frac{y_i}{\hat\mu_i(x_i)} + (1-y_i)\log\left(\frac{1-y_i}{1-\hat\mu_i(x_i)}\right)\right]$$` `$$= 2 D_{KL}\left(y||\hat\mu(x)\right),$$` where `\(D_{KL}(p||q) = \sum_i p_i\log\frac{p_i}{q_i}\)` is the Kullback-Leibler divergence. --- ## Deep learning  - Linear transformation of `\(x\)`, add bias and add some nonlinear activation. `$$f(x) = \sigma(wx + b)$$` --- ## Loss function `$$D_{KL}(p(x)||q(x))$$` --  --- # Optimization: Stochastic Gradient Descent ``` for(i in 1:num_epochs) { grads <- compute_gradient(data, params) params <- params - learning_rate * grads } ``` --- # SGD   --- ## TensorFlow It's a computational library - Developed in Google Brain for neural network research - Open Source - Automatic Differentiation - Uses GPU ![](https://upload.wikimedia.org/wikipedia/commons/thumb/3/3c/AutomaticDifferentiationNutshell.png/1280px-AutomaticDifferentiationNutshell.png) --- ## Tensor (2d) ``` ## Sepal.Length Sepal.Width Petal.Length Petal.Width Species ## [1,] 5.1 3.5 1.4 0.2 1 ## [2,] 4.9 3.0 1.4 0.2 1 ## [3,] 4.7 3.2 1.3 0.2 1 ## [4,] 4.6 3.1 1.5 0.2 1 ## [5,] 5.0 3.6 1.4 0.2 1 ## [6,] 5.4 3.9 1.7 0.4 1 ## [7,] 4.6 3.4 1.4 0.3 1 ## [8,] 5.0 3.4 1.5 0.2 1 ## [9,] 4.4 2.9 1.4 0.2 1 ## [10,] 4.9 3.1 1.5 0.1 1 ``` --- ## Tensor (3d) ![](https://github.com/curso-r/deep-learning-R/blob/master/3d-tensor.png?raw=true) --- ## Tensor (4d)  --- ## TensorFlow .pull-left[ ![](https://github.com/curso-r/deep-learning-R/blob/master/flow.gif?raw=true) ] .pull-right[ - Define the graph - Compile and optimize - Execute - Nodes are calculations - the tensors *flow* along the nodes. ] --- ## Keras * API used to specify deep learning models in a intuitive flavor. * Created by François Chollet (@fchollet).  * Originally implemented in `python`. --- ## Keras for R ![](imgs/keras.svg) --- ## Keras + R * R package: [`keras`](https://github.com/rstudio/keras). * Based in [reticulate](https://github.com/rstudio/reticulate). * Developed by JJ Allaire (CEO at RStudio). * R-like syntax using `%>%`.  --- # Example 01 --- # Activation ![](https://user-images.githubusercontent.com/4706822/48278301-48772400-e434-11e8-9487-641d2a79c2f8.png) --- # Activation problems ![](https://user-images.githubusercontent.com/4706822/48278617-334ec500-e435-11e8-8fcc-8838d2cc4590.png)  --- # Example 02 --- # Example 03 --- # Convolutions  --   --- # Convolutions ![](https://user-images.githubusercontent.com/4706822/48296585-99f8d080-e47f-11e8-9d91-23c5f6a55f03.png) --- # Max Pooling ![](https://user-images.githubusercontent.com/4706822/48281479-df94a980-e43d-11e8-9dcf-e67d7ba053e4.png) --- # Convolutions ![](https://user-images.githubusercontent.com/4706822/48281946-6bf39c00-e43f-11e8-845c-2d08570d85a6.png) --- # Binary Cross-Entropy ![](https://user-images.githubusercontent.com/4706822/48296375-34a3e000-e47d-11e8-9ecd-510d722f9c7f.png) --- # Example 04 --- # Categorical Cross-Entropy ![](https://cdn-images-1.medium.com/max/1600/1*AlbV9jz2k3Ll1wEMCljdSg.png) --- # Example 05 --- # Redes Neurais Recorrentes ![](http://colah.github.io/posts/2015-08-Understanding-LSTMs/img/RNN-unrolled.png) --- # LSTM ![](http://colah.github.io/posts/2015-08-Understanding-LSTMs/img/LSTM3-chain.png) --- # Example 06 --- # Stalk me - Curso-R: [jtrecenti<EMAIL_ADDRESS>- CONRE-3: [jtrecenti<EMAIL_ADDRESS>## Pages: - https://curso-r.com - https://curso-r.com/blog - https://curso-r.com/material - https://github.com/curso-r Presentation: https://jtrecenti.github.io/slides/ufba-dl/ Code: https://github.com/jtrecenti/slides


{% extends "base.html" %} {% block content %} Download data files All the data behind Data Flakes is available to download. Hack away! {% end %}
All the data behind Data Flakes is available to download. Hack away!


Provides a %<-% operator to perform multiple, unpacking, and destructuring assignment in R. The operator unpacks the right-hand side of an assignment into multiple values and assigns these values to variables on the left-hand side of the assignment.
| Version: | 0.1.0 |
| Suggests: | testthat, knitr, rmarkdown, purrr, magrittr |
| Published: | 2018-01-28 |
| Author: | Nathan Teetor [aut, cre], Paul Teetor [ctb] |
| Maintainer: | Nathan Teetor <nathanteetor at gmail.com> |
| BugReports: | https://github.com/nteetor/zeallot/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/nteetor/zeallot |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | zeallot results |
| Reference manual: | zeallot.pdf |
| Vignettes: |
Unpacking Assignment |
| Package source: | zeallot_0.1.0.tar.gz |
| Windows binaries: | r-devel: zeallot_0.1.0.zip, r-release: zeallot_0.1.0.zip, r-oldrel: zeallot_0.1.0.zip |
| OS X binaries: | r-release: zeallot_0.1.0.tgz, r-oldrel: zeallot_0.1.0.tgz |
| Old sources: | zeallot archive |
| Reverse imports: | graphTweets, ipumsr, keras, vctrs |
| Reverse suggests: | hdme, intoo, listarrays |
Please use the canonical form https://CRAN.R-project.org/package=zeallot to link to this page.


Stock Control Made Easy
Simple yet powerful way to manage your beverage inventory.
Save Time and Money
We’ve created BARFLOW to help Managers and Owners with their time consuming inventory management duties, including Stocktaking and Ordering.
Cut Stocktaking Time by 50%
Stocktaking can be done from multiple mobile devices at once, saving time while improving accuracy thanks to our unique and user friendly interface.
Easy Centralized Orders
Create and send purchase orders based on real-time inventory data to all your suppliers at once, with a single click, using our cloud based web dashboard.
Redin Dokaj
Operations Director at House Bars Ltd.
“BARFLOW helps us save more than 50% of the time spent on stocktaking and orderings”
Awesome Features
Cloud Based
No need to buy expensive hardware. Works from your smartphone and computer.
User Roles
Fine grained access control, Staff, Manager and Admin level accounts are supported.
Live Data
All of your data is automatically synced to the cloud keeping you always up-to-date.
Data Export
Your data can be exported anytime to Excel, so you can use it the way you want.
Product Catalog
We have 10,000+ of products to choose from with the ability to add your own.
Safe Archives
Stock reports and purchase orders are saved, so you can access them anytime from anywhere.
Import Wizard
Setting up your venue can be done easily with our easy-to-use import module.
Multiple Venues
Access and manage unlimited venues from a single user account.
Works Offline
Our iOS app works in basements and cellars or anywhere without Internet access.
Sign Up for FREE Access
We are currently in beta and we are looking for new users to join our platform before the official launch. For businesses signing up now we offer:
- Forever free plan for one venue
- One-to-one product demo session
- Assited venue setup
- Dedicated phone/email support


Follows unwalled.garden/follows
- File type
- Description: A list of data subscriptions.
- Path:
/.data/unwalled.garden/follows.json
Notes
Followed sites MUST not use DNS shortnames. They should be listed by their public key domain.
All followed sites MUST be mounted in the refs directory to enable quick metadata lookups.
Metadata
| Key | Value |
|---|---|
type |
unwalled.garden/follows |
Example
{
"urls": ["dat://43dfc9f23fdded8cc7c01c71c0702a0529130af0258e7fb30bf5a0a3f73d69b3"]
}
Schema
{
"$schema": "http://json-schema.org/draft-07/schema#",
"$id": "dat://unwalled.garden/follows.json",
"type": "object",
"title": "Follows",
"description": "A list of data subscriptions.",
"required": [
"urls"
],
"properties": {
"urls": {
"type": "array",
"description": "The followed URLs",
"items": {
"type": "string",
"format": "uri"
}
}
}
}


@@include("partials/head.html")
Callback from AWS
Collect session token from AWS:
@@include("partials/scripts.html")


TabBarCoordinator
open class TabBarCoordinator<T> : ContainerCoordinator<T>, UITabBarControllerDelegate where T : UITabBarController, T : Coordinated
The TabBarCoordinator is a specialized ContainerCoordinator for UITabBarController
It is to be used with a UITabBarCoordinator as rootViewController and has specific logic to cope with the intricacies of said UITabBarController. It has specialized presentation methods that mirror the ones from UITabBarController.
-
Starts the Coordinator.
In this particular case, it also assigns the rootViewController as the UITabBarControllerDelegate. If you override this method do not forget to call
super.start()
or the subclass won’t work properly.Declaration
Swift
open override func start(with completion: @escaping () -> Void)
Parameters
completion
An optional
Callback
executed at the end. -
Analog to UITabBarController’s
setControllers()
.Use this to set the UITabBarController children Coordinators and its UIViewControllers/Tabs pairs. This is usually called inside
start()
because the UITabBarController needs to know its children in order to populate the TabBar with the corresponding buttons.Declaration
Swift
public func setCoordinators(_ coordinators: [Coordinating])
-
Callback for when a Tab is tapped.
Override this method to intercept Tab taps so that you can do things before and after the Tab is changed, like setting loading states, async calls, etc.
By default it selects the Coordinator immediately.
Declaration
Swift
open func tabTapped(for coordinator: Coordinating)
Parameters
coordinator
Coordinator corresponding to the tapped Tab.
-
Allows you to programatically select a Tab corresponding to the Coordinator you want
Declaration
Swift
public func select(_ coordinator: Coordinating)
Parameters
coordinator
Coordinator to be selected.
-
Deactivate automatic Tab switch on UITabBarController It calls tabTapped with the Coordinator from the specific UIViewController
Declaration
Swift
public func tabBarController(_ tabBarController: UITabBarController, shouldSelect viewController: UIViewController) -> Bool


8 Crazy Childhood Behaviors That Are in Fact Cries for Help
Like adults, children have their own ups and downs. They can be very sensitive and feel anxious because of learning issues or their family environment. Besides this, a lack of attention can provoke aggression and hyperactivity in kids. It is important to recognize these behaviors in the beginning and try to fix them.
We at Bright Side put together information about the most common misbehaviors in kids, that can help you to understand them better.
1.
Aggression in toddlers can be readily explained by their brain development. It’s simple, a baby’s brain is under construction. They are building reasoning and logical thinking skills.
Biting and aggression are not a negative reflection on your parenting style.
The best way to react:
You can model the appropriate behavior for your child and then ask them to repeat it again until the reaction is right.
2.
It looks like a drama scene with tears and yelling, but actually nothing out of the ordinary happened. You just gave them a pink cup, instead of a blue one.
Your baby’s emotions continue to become more complex, but their ability to cope with them is sometimes not enough. It’s simple, each small disappointment is very frustrating for them and feels like the end of the world.
The best way to react:
Stay cool and allow them to express their frustrations, but at the same time show them that it is not okay too (don’t fake it — actually empathize with them). Show them some positive ways to let their feelings out, and let them know that hurling their shoes or food is not the best reaction.
3.
If your kid throws their shoes, refuses to get dressed, or won’t pack their backpack, it may mean that they are tired of being active and want some time to relax.
The best way to react:
No need to drag your child everywhere or have them take tons of different classes because this can cause them to become overloaded.
4. Your child runs in circles, fights, plays chase, and hangs from things.
When your kid doesn’t want to calm down, tries to fight, or runs around you all the time, it could mean that they don’t have enough activity. Children may be trying to tell you that they want to play outside, jump, or communicate with other kids.
The best way to react:
Check your kids schedule. Maybe, they have plenty of free time and don’t know where to spend their energy. Try to organize some brief play dates with other kids.
5.
Your kid may break their toys, play with them aggressively, or even ignore a new car or doll. This can signal that they are just bored of being at home. They might want to go for a walk, do another activity like art, or just cuddle with you.
The best way to react:
Try to suggest different activities, but don’t be pushy. For example, you can even start drawing by yourself and if your kid really wants to participate, they will join you.
6. Your kid says “No!” to everything.
 They just don’t want to cooperate. This type of behavior may be a sign that your kid actually wants to get control over a situation.
The best way to react:
To avoid this power struggle, it is smart to give your kid 2 choices. For example, you can suggest that they clean their room now or after going for a walk.
7.
Children can lie or exaggerate some things, but if this happens too often, you shouldn’t ignore it. It may happen when they are scared of something, like your reaction to the truth.
The best way to react:
First, don’t take it personally. Second, try to find the root of the lie. Third, appreciate their positive behavior more.
8.
Children learn how to handle strong emotions when they are overwhelmed or angry. Their communicating and coping skills are not very developed before 5 years of age. Older children might behave this way because of anxiety and fear. Also, your parenting style can influence these reactions.
The best way to react:
Pay attention to see if there is someone who is close to them that is showing them this poor example of communication.
Have you ever had problems with your children’s behavior? What were the reasons you misbehaved in your childhood? Please share your stories with us below!
Illustrated by Polina Chernevina for BrightSide.me


| {{eod.selected.name }} Totals | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Assigned | Expected | Present | No Show's | Sent Out's | Walked Out's | School Absent | Left School | Other | Clear | Reschedule | Overlap |
| {{eodCounters.assigned}} | {{eodCounters.expected}} | {{eodCounters.present}} | {{eodCounters.noShows}} | {{eodCounters.sentOuts}} | {{eodCounters.walkedOuts}} | {{eodCounters.schoolAbsent}} | {{eodCounters.leftSchool}} | {{eodCounters.other}} | {{eodCounters.clears}} | {{eodCounters.reschedules}} | {{eodCounters.overlaps}} |
| Today's Attendance % | |||||||||||
| {{ ((eodCounters.present/ eodCounters.expected)*100) | number : 2}} % |
| Student Name | Student ID | Referral Type | Overlap | Attendance | Progression |
|---|---|---|---|---|---|
| {{item.user.FirstName + ', ' + item.user.LastName}} | {{item.user.UserName}} | {{item.referred[0].referral_type.Name}} | {{item.overlap.msg}} | {{item.referred[0].activity.Name}} | {{item.referred[0].consequence.referral_type.Name}} |
| {{eod.selected.name }} Totals | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Date | Assigned | Expected | Present | No Show's | Sent Out's | Walked Out's | School Absent | Left School | Other | Clear | Reschedule | Overlap |
| {{item.Date}} | {{item.assigned}} | {{item.expected}} | {{item.present}} | {{item.noShows}} | {{item.sentOuts}} | {{item.walkedOuts}} | {{item.schoolAbsent}} | {{item.leftSchool}} | {{item.other}} | {{item.clears}} | {{item.reschedules}} | {{item.overlaps}} |
| {{eodDateCounters.totals.Date}} | {{eodDateCounters.totals.assigned}} | {{eodDateCounters.totals.expected}} | {{eodDateCounters.totals.present}} | {{eodDateCounters.totals.noShows}} | {{eodDateCounters.totals.sentOuts}} | {{eodDateCounters.totals.walkedOuts}} | {{eodDateCounters.totals.schoolAbsent}} | {{eodDateCounters.totals.leftSchool}} | {{eodDateCounters.totals.other}} | {{eodDateCounters.totals.clears}} | {{eodDateCounters.totals.reschedules}} | {{eodDateCounters.totals.overlaps}} |


| 1 | package fr.sii.ogham.core.sender; | |
| 2 | ||
| 3 | import static fr.sii.ogham.core.util.LogUtils.summarize; | |
| 4 | ||
| 5 | import java.util.Arrays; | |
| 6 | import java.util.List; | |
| 7 | ||
| 8 | import org.slf4j.Logger; | |
| 9 | import org.slf4j.LoggerFactory; | |
| 10 | ||
| 11 | import fr.sii.ogham.core.exception.MessageException; | |
| 12 | import fr.sii.ogham.core.message.Message; | |
| 13 | import fr.sii.ogham.core.util.LogUtils; | |
| 14 | ||
| 15 | /** | |
| 16 | * Decorator implementation that will try to send the message until one | |
| 17 | * decorated sender is able to send it. The aim is that if a sender fails to | |
| 18 | * send the message, then another will send it. It can ensure that message will | |
| 19 | * be sent at any costs. | |
| 20 | * | |
| 21 | * @author Aurélien Baudet | |
| 22 | * | |
| 23 | */ | |
| 24 | public class FallbackSender implements MessageSender { | |
| 25 | private static final Logger LOG = LoggerFactory.getLogger(FallbackSender.class); | |
| 26 | ||
| 27 | /** | |
| 28 | * The list of senders to try one by one until one succeeds | |
| 29 | */ | |
| 30 | private List<MessageSender> senders; | |
| 31 | ||
| 32 | /** | |
| 33 | * Initialize either none, one or several senders to try one by one until | |
| 34 | * one succeeds. | |
| 35 | * | |
| 36 | * @param senders | |
| 37 | * the senders to register | |
| 38 | */ | |
| 39 | public FallbackSender(MessageSender... senders) { | |
| 40 | this(Arrays.asList(senders)); | |
| 41 | } | |
| 42 | ||
| 43 | /** | |
| 44 | * Initialize with the provided list of senders to try one by one until one | |
| 45 | * succeeds. | |
| 46 | * | |
| 47 | * @param senders | |
| 48 | * the senders to register | |
| 49 | */ | |
| 50 | public FallbackSender(List<MessageSender> senders) { | |
| 51 | super(); | |
| 52 | this.senders = senders; | |
| 53 | } | |
| 54 | ||
| 55 | @Override | |
| 56 | public void send(Message message) throws MessageException { | |
| 57 |
1
1. send : All method instructions removed → NO_COVERAGE |
for (MessageSender sender : senders) { |
| 58 | try { | |
| 59 | LOG.debug("Try to send message {} using sender {}", summarize(message), sender); | |
| 60 | sender.send(message); | |
| 61 | LOG.debug("Message {} sent using sender {}", summarize(message), sender); | |
| 62 | return; | |
| 63 | } catch (Exception e) { | |
| 64 | LOG.debug("Message {} couldn't be sent using sender {}. Cause: {}", summarize(message), sender, e); | |
| 65 | } | |
| 66 | } | |
| 67 | throw new MessageException("No sender could handle the message", message); | |
| 68 | } | |
| 69 | ||
| 70 | /** | |
| 71 | * Register a new sender to try. The sender is added at the end. It will be | |
| 72 | * used only after all previously registered senders have failed. | |
| 73 | * | |
| 74 | * @param sender | |
| 75 | * the sender to register | |
| 76 | */ | |
| 77 | public void addSender(MessageSender sender) { | |
| 78 |
1
1. addSender : All method instructions removed → NO_COVERAGE |
senders.add(sender); |
| 79 | } | |
| 80 | } | |
Mutations | ||
| 57 |
1.1 |
|
| 78 |
1.1 |


Horizoz zedo Down
I am a very simple card. I am good at containing small bits of information.
The Last of Us
I am a very simple card. I am good at containing small bits of information.
Skirym
I am a very simple card. I am good at containing small bits of information.
Horizoz zedo Down
I am a very simple card. I am good at containing small bits of information.
The Last of Us
I am a very simple card. I am good at containing small bits of information.
Skirym
I am a very simple card. I am good at containing small bits of information.


--- layout: default title: Slava Maslennikov ---
I'm a Senior Site Reliability Engineer at Grindr Poke me via email maybe Pizza donations are always welcome Here's my resume Here's this repository Here're some haikus and rhymes


PKCS#1 signature generation
PKCS#1 signatures are based on the asymmetric encryption algorithm RSA. Therefore we need to generate an RSA key.
In order to generate a PKCS#1 signature we first create a data block and a padding string, which helps to format the signature in a specific way. The resulting data block is then signed with the private RSA key.
Please notice that you first have to generate an RSA key pair and a data block before you can generate the PKCS#1 signature!


Scaramucci: Trump Has Engaged in ‘Full Blown Traitorous Activity’ | Breitbart
by Pam KeyOn Sunday’s broadcast of CNN’s “Reliable Sources,” former White House communications director Anthony Scaramucci accused President Donald Trump of committing “full-blown traitorous activity.”
Scaramucci said, “I think it’s not just a Ukrainian call. There will be other elements of the story that unfold where people say wait a minute. There’s a combination of incompetence. There’s a combination of a destruction of the executive branch of the United States. In addition to the lawlessness and traitorous-like behavior.”
Stelter asked, “Traitorous-like behavior?”
Scaramucci said, “Oh, there’s no question.”
Stelter said, “Strong word.”
Scaramucci said, “What word would you use? You’re on the phone with the president of the Ukraine, and you’re strong-arming him to have him go after your political opponent?  Do you want to pretend that it’s not traitorous behavior? We can pretend that it isn’t, and we can continue to gaslight.”
 This is full-blown traitorous activity.”
Follow Pam Key on Twitter @pamkeyNEN


Did US Regulatory Filing Really Cause Bitcoin ‘Xi’ Pump?
by Emilio JanusAs human beings, one of our greatest drivers is the desire to codify and make sense of the world around us. Never more so than when analysing bitcoin price moves. But the most obvious answer is not always the correct one. So was last month’s ‘Xi’ pump more to do with TD Ameritrade than China?
Bitcoin, Not Blockchain
Whenever we see a significant movement in Bitcoin price, either up or down, speculation is rife as to the cause. Last month’s 40%+ rally occurred directly following President Xi of China’s blockchain adoption speech. Therefore, the price of Bitcoin going up was readily attributed as a direct effect of this, despite Xi not mentioning Bitcoin or even cryptocurrency.
So were there any more likely contenders which might have prompted Bitcoin’s fourth biggest price jump of all time? Well, according to research from Bitcite, it was down to a regulatory approval occurring on the other side of the world, in the United States.
President Xi Outshines The CFTC
Whilst Xi’s speech got all the media coverage, it clearly wasn’t the only thing that happened before the price pump. Overshadowed perhaps, but still important, were two filings certified by the CFTC that morning.
The filings in question were for ErisX Bitcoin Futures and amendments to the ErisX rulebook, which also covers cryptocurrency trading outside of futures. The futures filing contains the following passage:
…listing of Physically Delivered Bitcoin Futures (the “Contracts”) on Eris Exchange’s electronic trading platform, anticipated to begin on or after December 1, 2019.
ErisX Is Backed By TD Ameritrade
Importantly, ErisX is backed by a certain TD Ameritrade, boasting 11 million retail customers and over $1 trillion in assets held. Ameritrade has been quietly testing Bitcoin spot-trading for a while now, and has also been offering futures products, although not to its retail customers.
According to the Ameritrade website, the availability of ErisX futures, “will be dependent on when ErisX completes its product development and obtains regulatory approval.”
With regulatory approval now gained, 11 million Ameritrade retail customers could have the door to crypto trading opened to them in the very near future.
What are your thoughts on what caused Bitcoin’s most recent rally? Add your thoughts below!
Images via Shutterstock
The Rundown


Allegro contains some 3d helper functions for manipulating vectors, constructing and using transformation matrices, and doing perspective projections from 3d space onto the screen. It is not, and never will be, a fully fledged 3d library (my goal is to supply generic support routines, not shrink-wrapped graphics code :-) but these functions may be useful for developing your own 3d code.
All the 3d math functions are available in two versions: one which uses fixed point arithmetic, and another which uses floating point. The syntax for these is identical, but the floating point functions and structures are postfixed with '_f', eg. the fixed point function cross_product() has a floating point equivalent cross_product_f(). If you are programming in C++, Allegro also overloads these functions for use with the 'fix' class.
3d transformations are accomplished by the use of a modelling matrix. This is a 4x4 array of numbers that can be multiplied with a 3d point to produce a different 3d point. By putting the right values into the matrix, it can be made to do various operations like translation, rotation, and scaling. The clever bit is that you can multiply two matrices together to produce a third matrix, and this will have the same effect on points as applying the original two matrices one after the other. For example, if you have one matrix that rotates a point and another that shifts it sideways, you can combine them to produce a matrix that will do the rotation and the shift in a single step. You can build up extremely complex transformations in this way, while only ever having to multiply each point by a single matrix.
Allegro actually cheats in the way it implements the matrix structure. Rotation and scaling of a 3d point can be done with a simple 3x3 matrix, but in order to translate it and project it onto the screen, the matrix must be extended to 4x4, and the point extended into 4d space by the addition of an extra coordinate, w=1. This is a bad thing in terms of efficiency, but fortunately an optimisation is possible. Given the 4x4 matrix:
( a, b, c, d ) ( e, f, g, h ) ( i, j, k, l ) ( m, n, o, p )a pattern can be observed in which parts of it do what. The top left 3x3 grid implements rotation and scaling. The three values in the top right column (d, h, and l) implement translation, and as long as the matrix is only used for affine transformations, m, n and o will always be zero and p will always be 1. If you don't know what affine means, read Foley & Van Damme: basically it covers scaling, translation, and rotation, but not projection. Since Allegro uses a separate function for projection, the matrix functions only need to support affine transformations, which means that there is no need to store the bottom row of the matrix. Allegro implicitly assumes that it contains (0,0,0,1), and optimises the matrix manipulation functions accordingly.
Matrices are stored in the structures:
typedef struct MATRIX - fixed point matrix structure { fixed v[3][3]; - 3x3 scaling and rotation component fixed t[3]; - x/y/z translation component } MATRIX;extern MATRIX identity_matrix;typedef struct MATRIX_f - floating point matrix structure { float v[3][3]; - 3x3 scaling and rotation component float t[3]; - x/y/z translation component } MATRIX_f
void get_translation_matrix(MATRIX *m, fixed x, fixed y, fixed z);
void get_translation_matrix_f(MATRIX_f *m, float x, float y, float z);
Constructs a translation matrix, storing it in m. When applied to the
point (px, py, pz), this matrix will produce the point (px+x, py+y,
pz+z). In other words, it moves things sideways.
void get_scaling_matrix(MATRIX *m, fixed x, fixed y, fixed z);
void get_scaling_matrix_f(MATRIX_f *m, float x, float y, float z);
Constructs a scaling matrix, storing it in m. When applied to the point
(px, py, pz), this matrix will produce the point (px*x, py*y, pz*z). In
other words, it stretches or shrinks things.
void get_x_rotate_matrix(MATRIX *m, fixed r);
void get_x_rotate_matrix_f(MATRIX_f *m, float r);
Construct X axis rotation matrices, storing them in m. When applied to a
point, these matrices will rotate it about the X axis by the specified
angle (given in binary, 256 degrees to a circle format).
void get_y_rotate_matrix(MATRIX *m, fixed r);
void get_y_rotate_matrix_f(MATRIX_f *m, float r);
Construct Y axis rotation matrices, storing them in m. When applied to a
point, these matrices will rotate it about the Y axis by the specified
angle (given in binary, 256 degrees to a circle format).
void get_z_rotate_matrix(MATRIX *m, fixed r);
void get_z_rotate_matrix_f(MATRIX_f *m, float r);
Construct Z axis rotation matrices, storing them in m. When applied to a
point, these matrices will rotate it about the Z axis by the specified
angle (given in binary, 256 degrees to a circle format).
void get_rotation_matrix(MATRIX *m, fixed x, fixed y, fixed z);
void get_rotation_matrix_f(MATRIX_f *m, float x, float y, float z);
Constructs a transformation matrix which will rotate points around all
three axis by the specified amounts (given in binary, 256 degrees to a
circle format).
void get_align_matrix(MATRIX *m, fixed xfront, yfront, zfront,
fixed xup, fixed yup, fixed zup);
Rotates a matrix so that it is aligned along the specified coordinate
vectors (they need not be normalized or perpendicular, but the up and
front must not be equal). A front vector of 1,0,0 and up vector of 0,1,0
will return the identity matrix.
void get_align_matrix_f(MATRIX *m, float xfront, yfront, zfront,
float xup, yup, zup);
Floating point version of get_align_matrix().
void get_vector_rotation_matrix(MATRIX *m, fixed x, y, z, fixed a);
void get_vector_rotation_matrix_f(MATRIX_f *m, float x, y, z, float a);
Constructs a transformation matrix which will rotate points around the
specified x,y,z vector by the specified angle (given in binary, 256
degrees to a circle format).
void get_transformation_matrix(MATRIX *m, fixed scale,
fixed xrot, yrot, zrot, x, y, z);
Constructs a transformation matrix which will rotate points around all
three axis by the specified amounts (given in binary, 256 degrees to a
circle format), scale the result by the specified amount (pass 1 for no
change of scale), and then translate to the requested x, y, z position.
void get_transformation_matrix_f(MATRIX_f *m, float scale,
float xrot, yrot, zrot, x, y, z);
Floating point version of get_transformation_matrix().
void get_camera_matrix(MATRIX *m, fixed x, y, z, xfront, yfront, zfront,
fixed xup, yup, zup, fov, aspect);
Constructs a camera matrix for translating world-space objects into a
normalised view space, ready for the perspective projection. The x, y,
and z parameters specify the camera position, xfront, yfront, and zfront
are the 'in front' vector specifying which way the camera is facing (this
can be any length: normalisation is not required), and xup, yup, and zup
are the 'up' direction vector. The fov parameter specifies the field of
view (ie. width of the camera focus) in binary, 256 degrees to the circle
format. For typical projections, a field of view in the region 32-48 will
work well. Finally, the aspect ratio is used to scale the Y dimensions of
the image relative to the X axis, so you can use it to adjust the
proportions of the output image (set it to 1 for no scaling).
void get_camera_matrix_f(MATRIX_f *m, float x, y, z, xfront, yfront, zfront,
float xup, yup, zup, fov, aspect);
Floating point version of get_camera_matrix().
void qtranslate_matrix(MATRIX *m, fixed x, fixed y, fixed z);
void qtranslate_matrix_f(MATRIX_f *m, float x, float y, float z);
Optimised routine for translating an already generated matrix: this
simply adds in the translation offset, so there is no need to build two
temporary matrices and then multiply them together.
void qscale_matrix(MATRIX *m, fixed scale);
void qscale_matrix_f(MATRIX_f *m, float scale);
Optimised routine for scaling an already generated matrix: this simply
adds in the scale factor, so there is no need to build two temporary
matrices and then multiply them together.
void matrix_mul(MATRIX *m1, MATRIX *m2, MATRIX *out);
void matrix_mul_f(MATRIX_f *m1, MATRIX_f *m2, MATRIX_f *out);
Multiplies two matrices, storing the result in out (this must be
different from the two input matrices). The resulting matrix will have
the same effect as the combination of m1 and m2, ie. when applied to a
point p, (p * out) = ((p * m1) * m2). Any number of transformations can
be concatenated in this way. Note that matrix multiplication is not
commutative, ie. matrix_mul(m1, m2) != matrix_mul(m2, m1).
fixed vector_length(fixed x, fixed y, fixed z);
float vector_length_f(float x, float y, float z);
Calculates the length of the vector (x, y, z), using that good 'ole
Pythagoras theorem.
void normalize_vector(fixed *x, fixed *y, fixed *z);
void normalize_vector_f(float *x, float *y, float *z);
Converts the vector (*x, *y, *z) to a unit vector. This points in the
same direction as the original vector, but has a length of one.
fixed dot_product(fixed x1, y1, z1, x2, y2, z2);
float dot_product_f(float x1, y1, z1, x2, y2, z2);
Calculates the dot product (x1, y1, z1) . (x2, y2, z2), returning the
result.
void cross_product(fixed x1, y1, z1, x2, y2, z2, *xout, *yout, *zout);
void cross_product_f(float x1, y1, z1, x2, y2, z2, *xout, *yout, *zout);
Calculates the cross product (x1, y1, z1) x (x2, y2, z2), storing the
result in (*xout, *yout, *zout). The cross product is perpendicular to
both of the input vectors, so it can be used to generate polygon normals.
fixed polygon_z_normal(V3D *v1, V3D *v2, V3D *v3);
float polygon_z_normal_f(V3D_f *v1, V3D_f *v2, V3D_f *v3);
Finds the Z component of the normal vector to the specified three
vertices (which must be part of a convex polygon). This is used mainly in
back-face culling. The back-faces of closed polyhedra are never visible
to the viewer, therefore they never need to be drawn. This can cull on
average half the polygons from a scene. If the normal is negative the
polygon can safely be culled. If it is zero, the polygon is perpendicular
to the screen.
void apply_matrix(MATRIX *m, fixed x, y, z, *xout, *yout, *zout);
void apply_matrix_f(MATRIX_f *m, float x, y, z, *xout, *yout, *zout);
Multiplies the point (x, y, z) by the transformation matrix m, storing
the result in (*xout, *yout, *zout).
void set_projection_viewport(int x, int y, int w, int h);
Sets the viewport used to scale the output of the persp_project()
function. Pass the dimensions of the screen area you want to draw onto,
which will typically be 0, 0, SCREEN_W, and SCREEN_H.
void persp_project(fixed x, y, z, *xout, *yout);
void persp_project_f(float x, y, z, *xout, *yout);
Projects the 3d point (x, y, z) into 2d screen space, storing the result
in (*xout, *yout) and using the scaling parameters previously set by
calling set_projection_viewport(). This function projects from the
normalized viewing pyramid, which has a camera at the origin and facing
along the positive z axis. The x axis runs left/right, y runs up/down,
and z increases with depth into the screen. The camera has a 90 degree
field of view, ie. points on the planes x=z and -x=z will map onto the
left and right edges of the screen, and the planes y=z and -y=z map to
the top and bottom of the screen. If you want a different field of view
or camera location, you should transform all your objects with an
appropriate viewing matrix, eg. to get the effect of panning the camera
10 degrees to the left, rotate all your objects 10 degrees to the right.


Welcome Back
Cornell Hacking Club
Agenda
- Upcoming CTF's
- Housekeeping
- Since we last met
Nullcon HackIM
- This weekend
- We finished 6th last year
- I'm going to be out of town, but I'll still reserve a room
- Credentials will be in Slack
Housekeeping
- If you aren't on the website, please harass me about it
- Still need a new team photo, but I forgot to bring my camera again.
Intellpocalypse
- Old news now, but still...
- 10 years of chips vulnerable
- General awfulness.
Mac Root Bugs
- Early January had yet another instance of Macs accepting any root password.
- On the tails of their last root bug, which they patched
- Which got opened after another OS update
- and was patched again...
Chronicle
- Alphabet (i.e. Google) started a new subsidiary
- Applying machine learning to security
- Secretive other than that


{% extends '/layouts/boilerplate.html' %} {% block body_class %}main main-index{% endblock %} {% block layout %}
Powered by Flask and user management is done by the Flask-Security extension. This website serves as an example of how to use both extensions effectively.


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object --+ | streams.ReadStream --+ | HttpServerRequest
Encapsulates a server-side HTTP request.
An instance of this class is created for each request that is handled by the server and is passed to the user via the handler specified using HttpServer.request_handler.
Each instance of this class is associated with a corresponding HttpServerResponse instance via the property response.
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Inherited from Inherited from |
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expect_multipart = property(is_expect_multipart, set_expect_mu
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The HTTP version - either HTTP_1_0 or HTTP_1_1
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The HTTP method, one of HEAD, OPTIONS, GET, POST, PUT, DELETE, CONNECT, TRACE
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The uri of the request. For example 'http://www.somedomain.com/somepath/somemorepath/somresource.foo?someparam=32&someotherparam=x
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The path part of the uri. For example /somepath/somemorepath/somresource.foo
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The query part of the uri. For example someparam=32&someotherparam=x
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The request parameters
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The response HttpServerResponse object.
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The request headers
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Set the body handler for this request, the handler receives a single Buffer object as a parameter. This can be used as a decorator. Keyword arguments:
|
Return the remote (client side) address of the request
|
Return the absolute URI corresponding to the the HTTP request
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You must call this function with true before receiving the request body if you expect it to contain a multi-part form. Keyword arguments:
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Set the upload handler. The handler will get notified once a new file upload was received and so allow to get notified by the upload in progress. |
Returns a dict of all form attributes which was found in the request. Be aware that this message should only get called after the endHandler was notified as the map will be filled on-the-fly. |
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expect_multipart
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| Trees | Indices | Help |
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| Generated by Epydoc 3.0.1 on Wed Jul 17 20:24:59 2013 | http://epydoc.sourceforge.net |


The Quick and the Dead
The Quick and the Dead is a movie starring Sharon Stone, Gene Hackman, and Russell Crowe. A female gunfighter returns to a frontier town where a dueling tournament is being held, which she enters in an effort to avenge her father's...


Paste some python code (currently Python 2.x only) below, then hit "Obfuscate!"
If your code is too large it will timeout (a constraint on Heroku).
If that is the case you can try to use the source code and run it locally.
Compression Ratio: {{ str(obfLen) + " / " + str(originalLen) + " = " + str(float(obfLen) / float(originalLen)) }}
Check out and fork the code at GitHub!
If your code will not run after obfuscating, please help me improve by submitting that original script onto my GitHub issue tracker. All the help is appreciated.
{% end %}Version: v0.3
Author: Simon Liang


{%- include head.html -%}
James Kitchens | National Parks Gallery
{%- include navbarNPG.html -%} {%- include preload.html -%} {%- include head_NPG.html -%}
{%- include leafletMap.html -%} {%- include gallery.html -%}


--- title: reduce sidebar: function_reference_sidebar permalink: grainBoundary.reduce.html folder: function_reference toc: false ---
reduce a list of grain boundary segments by taking only every second
| gB | grainBoundary |
| n | factor by which the segments are reduced (default 2) |
| gB_red | grainBoundary |


| 接口 | 说明 |
|---|---|
| MultiTermQueryBuilder | |
| QueryBuilder | |
| QueryParser<QB extends QueryBuilder> |
Defines a query parser that is able to parse
QueryBuilder s from XContent . |
| Rewriteable<T> |
A basic interface for rewriteable classes.
|
| SpanQueryBuilder |
Marker interface for a specific type of
QueryBuilder that allows to build span queries |
| 类 | 说明 |
|---|---|
| AbstractQueryBuilder<QB extends AbstractQueryBuilder<QB>> |
Base class for all classes producing lucene queries.
|
| BaseTermQueryBuilder<QB extends BaseTermQueryBuilder<QB>> | |
| BoolQueryBuilder |
A Query that matches documents matching boolean combinations of other queries.
|
| BoostingQueryBuilder |
The BoostingQuery class can be used to effectively demote results that match a given query.
|
| CommonTermsQueryBuilder |
CommonTermsQuery query is a query that executes high-frequency terms in a
optional sub-query to prevent slow queries due to "common" terms like
stopwords.
|
| ConstantScoreQueryBuilder |
A query that wraps a filter and simply returns a constant score equal to the
query boost for every document in the filter.
|
| DisMaxQueryBuilder |
A query that generates the union of documents produced by its sub-queries, and that scores each document
with the maximum score for that document as produced by any sub-query, plus a tie breaking increment for any
additional matching sub-queries.
|
| ExistsQueryBuilder |
Constructs a query that only match on documents that the field has a value in them.
|
| FieldMaskingSpanQueryBuilder | |
| FuzzyQueryBuilder |
A Query that does fuzzy matching for a specific value.
|
| GeoBoundingBoxQueryBuilder |
Creates a Lucene query that will filter for all documents that lie within the specified
bounding box.
|
| GeoDistanceQueryBuilder |
Filter results of a query to include only those within a specific distance to some
geo point.
|
| GeoPolygonQueryBuilder | |
| GeoShapeQueryBuilder |
QueryBuilder that builds a GeoShape Query |
| IdsQueryBuilder |
A query that will return only documents matching specific ids (and a type).
|
| InnerHitBuilder | |
| InnerHitContextBuilder |
A builder for
InnerHitsContext.InnerHitSubContext |
| MatchAllQueryBuilder |
A query that matches on all documents.
|
| MatchNoneQueryBuilder |
A query that matches no document.
|
| MatchPhrasePrefixQueryBuilder |
Match query is a query that analyzes the text and constructs a phrase prefix
query as the result of the analysis.
|
| MatchPhraseQueryBuilder |
Match query is a query that analyzes the text and constructs a phrase query
as the result of the analysis.
|
| MatchQueryBuilder |
Match query is a query that analyzes the text and constructs a query as the
result of the analysis.
|
| MoreLikeThisQueryBuilder |
A more like this query that finds documents that are "like" the provided set of document(s).
|
| MoreLikeThisQueryBuilder.Item |
A single item to be used for a
MoreLikeThisQueryBuilder . |
| MultiMatchQueryBuilder |
Same as
MatchQueryBuilder but supports multiple fields. |
| NestedQueryBuilder | |
| ParsedQuery |
The result of parsing a query.
|
| PrefixQueryBuilder |
A Query that matches documents containing terms with a specified prefix.
|
| QueryBuilders |
Utility class to create search queries.
|
| QueryRewriteContext |
Context object used to rewrite
QueryBuilder instances into simplified version. |
| QueryShardContext |
Context object used to create lucene queries on the shard level.
|
| QueryStringQueryBuilder |
A query that parses a query string and runs it.
|
| RangeQueryBuilder |
A Query that matches documents within an range of terms.
|
| RegexpQueryBuilder |
A Query that does fuzzy matching for a specific value.
|
| ScriptQueryBuilder | |
| SimpleQueryStringBuilder |
SimpleQuery is a query parser that acts similar to a query_string query, but
won't throw exceptions for any weird string syntax.
|
| SpanContainingQueryBuilder |
Builder for
SpanContainingQuery . |
| SpanFirstQueryBuilder | |
| SpanMultiTermQueryBuilder |
Query that allows wrapping a
MultiTermQueryBuilder (one of wildcard, fuzzy, prefix, term, range or regexp query)
as a SpanQueryBuilder so it can be nested. |
| SpanNearQueryBuilder |
Matches spans which are near one another.
|
| SpanNotQueryBuilder | |
| SpanOrQueryBuilder |
Span query that matches the union of its clauses.
|
| SpanTermQueryBuilder |
A Span Query that matches documents containing a term.
|
| SpanWithinQueryBuilder |
Builder for
SpanWithinQuery . |
| TermQueryBuilder |
A Query that matches documents containing a term.
|
| TermsQueryBuilder |
A filter for a field based on several terms matching on any of them.
|
| TermsSetQueryBuilder | |
| TypeQueryBuilder | |
| WildcardQueryBuilder |
Implements the wildcard search query.
|
| WrapperQueryBuilder |
A Query builder which allows building a query given JSON string or binary data provided as input.
|
| 枚举 | 说明 |
|---|---|
| GeoExecType |
Specifies how a geo query should be run.
|
| GeoValidationMethod |
This enum is used to determine how to deal with invalid geo coordinates in geo related
queries:
On STRICT validation invalid coordinates cause an exception to be thrown.
|
| MultiMatchQueryBuilder.Type | |
| Operator | |
| RegexpFlag |
Regular expression syntax flags.
|
| SimpleQueryStringFlag |
Flags for the XSimpleQueryString parser
|
| 异常错误 | 说明 |
|---|---|
| QueryShardException |
Exception that is thrown when creating lucene queries on the shard
|
| QueryValidationException |
This exception can be used to indicate various reasons why validation of a query has failed.
|


--- layout: post title: Sorts date: type: post parent_id: '0' published: false password: '' status: draft categories: [] tags: [] meta: _edit_last: '1' _su_title: '' author: login: akropp email<EMAIL_ADDRESS>display_name: akropp first_name: '' last_name: '' permalink: "/" ---
If you're going to add a sort ID to a database, make sure to leave skips
SimulatorCompanyID,SimulatorCompanyGuid,SimulatorCompanyName,SimulatorCompanySort
1,,Gaumard®,1
2,,Laerdal®,2
3,,METI®,3
4,,Other,4
5,,CAE,5 <-- COMMON!


Enjoy. Oh, and here's the source.
DISCLAIMER: This service is provided as-is. It could go down at any time and change without warning. In fact, it might have already changed while you were reading this. The data behind this services will get scrubbed periodically. If this service gets abused, we will either take it down or restrict access. Play nice.