pragma solidity 0.4.24;
import "openzeppelin-solidity/contracts/math/SafeMath.sol";
contract Heap {
using SafeMath for uint256;
address public owner;
// The main operations of a priority queue are insert, delMax, & isEmpty.
constructor() public {
// Start at 0
heap = [0];
owner = msg.sender;
}
// Ensure only the owner of the contract can do certain actions
modifier onlyOwner {
require(msg.sender == owner);
_;
}
// We will be storing our heap in an array
uint256[] public heap;
// Inserts adds in a value to our heap.
function insert(uint256 _value) public onlyOwner {
// Add the value to the end of our array
heap.push(_value);
// Start at the end of the array
uint256 currentIndex = heap.length.sub(1);
// Bubble up the value until it reaches it's correct place (i.e. it is smaller than it's parent)
while(currentIndex > 1 && heap[currentIndex.div(2)] < heap[currentIndex]) {
// If the parent value is lower than our current value, we swap them
(heap[currentIndex.div(2)], heap[currentIndex]) = (_value, heap[currentIndex.div(2)]);
// change our current Index to go up to the parent
currentIndex = currentIndex.div(2);
}
}
// RemoveMax pops off the root element of the heap (the highest value here) and rebalances the heap
function removeMax() public onlyOwner returns(uint256) {
// Ensure the heap exists
Irequire(heap.length > 1);
// take the root value of the heap
uint256 toReturn = heap[1];
// Takes the last element of the array and put it at the root
heap[1] = heap[heap.length.sub(1)];
// Delete the last element from the array
heap.length = heap.length.sub(1);
// Start at the top
uint256 currentIndex = 1;
// Bubble down
while(currentIndex.mul(2) < heap.length.sub(1)) {
// get the current index of the children
uint256 j = currentIndex.mul(2);
// left child value
uint256 leftChild = heap[j];
// right child value
uint256 rightChild = heap[j.add(1)];
// Compare the left and right child. if the rightChild is greater, then point j to it's index
if (leftChild < rightChild) {
j = j.add(1);
}
// compare the current parent value with the highest child, if the parent is greater, we're done
if(heap[currentIndex] > heap[j]) {
break;
}
// else swap the value
(heap[currentIndex], heap[j]) = (heap[j], heap[currentIndex]);
// and let's keep going down the heap
currentIndex = j;
}
// finally, return the top of the heap
return toReturn;
}
function getHeap() public view returns(uint256[]) {
return heap;
}
function getMax() public view returns(uint256) {
return heap[1];
}
} |


Rahul Challa
Professional Experience
Internships, Working Student Job experiences
I worked as an Intern at Continental A.D.C GmbH, Germany in Automotive industry where I worked with BMW 7 series Front view Multifunctional Camera using different tools that includes Vector CAN/Flex Ray Interface, Ethernet Interface, XCP Download tool, Lauterbach Debugger tool. I also did my Job as a Working Student at Continental Automotive GmbH, Germany in Powertrain and Automotive industry where I worked with DCDC converters using CAN/LIN tools and DET tools for Ford Manufacturing Company (FMC). I also did my Internship at IHS Gloabl GmbH, Germany in Automotive and Semiconductor industry where I used to do market research analysis for different kinds of ECUs for different OEMs and find out the Automotive suppliers for that particular ECUs which varies according to the part numbers, regions and manufacturing dates.
© 2017 Rahul Challa Resume. All Rights Reserved


Stylq is the cool syntax HTML Preprocessor. Stylq will allow user to make HTML file more easily. Stlyq is the Rich Syntax file to generator HTML file in the easy way. Stylq is the easy readable and writable.
Stylq also allows to use variable to reuse the tokens
For
NPM
npm i stylq
For
YARN
yarn add stylq


{% extends "base.html" %} {% block title %}Register{% endblock %} {% block content %}
{% if form.errors %} {% for field in form %} {% for error in field.errors %}These Terms will be applied fully and affect to your use of this Website. By using this Website, you agreed to accept all terms and conditions written in here. You must not use this Website if you disagree with any of these Website Standard Terms and Conditions. These Terms and Conditions have been generated with the help of the Terms And Conditions Template and the Terms and Conditions Generator.
Minors or people below 18 years old are not allowed to use this Website.
Other than the content you own, under these Terms, alumni portal and/or its licensors own all the intellectual property rights and materials contained in this Website.
You are granted limited license only for purposes of viewing the material contained on this Website.
You are specifically restricted from all of the following:
Certain areas of this Website are restricted from being access by you and alumni portal may further restrict access by you to any areas of this Website, at any time, in absolute discretion. Any user ID and password you may have for this Website are confidential and you must maintain confidentiality as well.
We are going to show your linkedin public profile in our website profile page. In these Website Standard Terms and Conditions, "Your Content" shall mean any audio, video text, images or other material you choose to display on this Website.
Your Content must be your own and must not be invading any third-party’s rights. alumni portal reserves the right to remove any of Your Content from this Website at any time without notice.
Please read Privacy Policy.
This Website is provided "as is," with all faults, and alumni portal express no representations or warranties, of any kind related to this Website or the materials contained on this Website. Also, nothing contained on this Website shall be interpreted as advising you.
In no event shall alumni portal, nor any of its officers, directors and employees, shall be held liable for anything arising out of or in any way connected with your use of this Website whether such liability is under contract. alumni portal, including its officers, directors and employees shall not be held liable for any indirect, consequential or special liability arising out of or in any way related to your use of this Website.
You hereby indemnify to the fullest extent alumni portal from and against any and/or all liabilities, costs, demands, causes of action, damages and expenses arising in any way related to your breach of any of the provisions of these Terms.
If any provision of these Terms is found to be invalid under any applicable law, such provisions shall be deleted without affecting the remaining provisions herein.
alumni portal is permitted to revise these Terms at any time as it sees fit, and by using this Website you are expected to review these Terms on a regular basis.
The alumni portal is allowed to assign, transfer, and subcontract its rights and/or obligations under these Terms without any notification. However, you are not allowed to assign, transfer, or subcontract any of your rights and/or obligations under these Terms.
These Terms constitute the entire agreement between alumni portal and you in relation to your use of this Website, and supersede all prior agreements and understandings.
These Terms will be governed by and interpreted in accordance with the laws of the State of in, and you submit to the non-exclusive jurisdiction of the state and federal courts located in in for the resolution of any disputes.


UK election prompts surge in young voter registration
by EuronewsThere has been a surge in registration among voters aged under 25 since Boris Johnson announced Britain would be holding a snap general election on December 12.
How could that affect voting, and what are the issues that concern younger voters? Watch Vincent McAviney's report for Euronews in the video player above.


ADRA
Cell-surface proteins that bind epinephrine and/or norepinephrine with high affinity and trigger intracellular changes. The two major classes of adrenergic receptors, alpha and beta, were originally discriminated based on their cellular actions but now are distinguished by their relative affinity for characteristic synthetic ligands. Adrenergic receptors may also be classified according to the subtypes of G-proteins with which they bind; this scheme does not respect the alpha-beta distinction.
(mesh:D011941)
Cross-references
Synonyms
| Synonym |
Reference |
Specificity |
| a-adrenoreceptor |
|
Exact
|
| α-adrenergic receptor |
|
Exact
|
| alpha-adrenoreceptors |
|
Exact
|
| α-adrenoreceptor |
|
Exact
|
| alpha1 adrenoceptor |
|
Exact
|
| alpha-adrenergic receptor |
|
Exact
|
| α-adrenoreceptors |
|
Exact
|
| alpha adrenoceptor |
|
Exact
|
| alpha-adrenoreceptor |
|
Exact
|
Incoming Relations
Outgoing Relations
None available.


Automation 4 Lua Miscellaneous APIs
From Aegisub Manual
This page documents miscellaneous API's useful for working with subtitles, these can't be clearly placed into any of the other main categories and there's too few of each kind to warrant a separate category.
Contents |
aegisub.text_extents
Synopsis: width, height, descent, ext_lead = aegisub.text_extents(style, text)
Obtain system font metrics and determine the rendered size in pixels of the given text when using the style.
- width (number) - Width in pixels of text. This may be non-integer.
- height (number) - Height in pixels of the text. This may be non-integer.
- descent (number) - Length of descenders in the font. This may be non-integer.
- ext_lead (number) - External leading for the font. This may be non-integer.
- style (table) - A style table as defined by the subtitle interface. The font name, size, weight, style, spacing and encoding is used to determine the size of the text.
- text (string) - The text the extents should be determined for. This should not contain linebreaks (\n or \r\n) nor should it contain formatting codes of any kind. Formatting codes are not attempted interpreted and will be taken as verbatim text.
You should only feed plain text strings without line breaks into this function, it cannot handle any kind of formatting codes or text layout. Rather, it is intended as a helper to create text layouts by determining rendered sizes of bits and pieces of a longer text, which can then be layouted by the script.
Getting information on the video
Automation 4 Lua offers two functions designed to be able to work with frame-based timing without having to consider whether the video source is VFR or CFR.
The primary purpose of these functions is to be able to generate per-frame effects, ie. get the timestamps of a number of sequential frames and calculate coordinates, sizes etc. for an object for each of those frames.
One thing to remember when using these functions is that, considering a one-dimensional time line, a time stamp is a point on the time line, while a video frame spans a range of the time line, from its beginning time to its ending time. The ending time of a frame is the beginning time of the next. The beginning time of a frame is included in the range while the ending time is excluded from the range.
aegisub.frame_from_ms
Synopsis: frame = aegisub.frame_from_ms(ms)
Use loaded frame rate data to convert an absolute time given in milliseconds into a frame number.
- frame (number) - Frame number corresponding to the time in ms.
- ms (number) - Absolute time from the beginning of the video, for which to determine the frame number.
If the time is in the middle of the frame it is "rounded down" to the frame number that contains the given time.
aegisub.ms_from_frame
Synopsis: ms = aegisub.ms_from_frame(frame)
Use loaded frame rate data to convert a frame number of the video into an absolute time in milliseconds.
- ms (number) - First integer millisecond time stamp to lie within the frame.
- frame (number) - Frame to obtain the beginning time of.
Because beginning times of frames can have better precision than one millisecond this function rounds up and returns the first whole millisecond that is guaranteed to be within the frame.
aegisub.video_size
Synopsis: xres, yres, ar, artype = aegisub.video_size()
Get information about the resolution and aspect-ratio of the loaded video, if any.
Returns nil
if there is no video loaded.
- xres and yres (numbers) - Coded width and height of the video in pixels.
- ar (number) - Custom display aspect ratio override.
- artype (number) - See below.
There are 5 values that artype can take:
- If artype is 0, the video has square pixels, ie. PAR is 1.00 or DAR is xres/yres.
- If artype is 1, the video is 4:3, ie. DAR is 1.33.
- If artype is 2, the video is 16:9, ie. DAR is 1.78
- If artype is 3, the video is 2.35 format, ie. DAR is 2.35.
- If artype is 4, the DAR is whatever the ar return value contains.
You cannot count on ar always having the correct value when artype is different from 4.
| Overview: |
Automation Manager • Running macros • Using export filters • Standard macros • Changes from Automation 3 • Moving from Automation 3 |
|---|---|
| Karaoke Templater reference: |
Declaring templates • Execution order • Modifiers • Inline-variables ($-variables) • Code lines and blocks • Execution envirionment |
| Lua reference: |
Registration • Subtitles object • Progress reporting • Config dialogues • Misc. APIs • karaskel.lua • utils.lua • unicode.lua • cleantags.lua |
| Karaskel concepts: |
Style tables • Dialogue line tables • Syllable tables • Inline effects • Furigana |


This scenario demonstrates how to send a badge notification.
Badge notifications update your application's tile with a number or Windows provided
glyph. Badges will be displayed on both square and wide sizes.
Enter a number between 1 and 99
Select a glyph
Since notifications are just XML, you can create them in many different ways. Above,
the NotificationsExtensions library is used. You can also create notifications with strings.


Tools for stream editing: manipulating text files with insertions, replacements, deletions, substitutions, and commenting.
| Version: | 0.1.2 |
| Imports: | Smisc |
| Suggests: | testthat |
| Published: | 2017-11-21 |
| Author: | Landon Sego [aut, cre] |
| Maintainer: | Landon Sego <LHS at byu.net> |
| License: | BSD_3_clause + file LICENSE |
| URL: | https://pnnl.github.io/rsed |
| NeedsCompilation: | no |
| Citation: | rsed citation info |
| Materials: | README NEWS |
| CRAN checks: | rsed results |
| Reference manual: | rsed.pdf |
| Package source: | rsed_0.1.2.tar.gz |
| Windows binaries: | r-devel: rsed_0.1.2.zip, r-release: rsed_0.1.2.zip, r-oldrel: rsed_0.1.2.zip |
| OS X binaries: | r-release: rsed_0.1.2.tgz, r-oldrel: rsed_0.1.2.tgz |
| Old sources: | rsed archive |
Please use the canonical form https://CRAN.R-project.org/package=rsed to link to this page.


{% include design/ai.html %} {% include design/tools.html %} {% include design/patterns.html %} {% include design/architecture.html %} {% include design/implementation.html %}


{% extends 'land/base.html' %} {% block central_content %}
Your username and password didn't match. Please try again.


{# # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. -#} {% extends "manage_project_base.html" %} {% set active_tab = 'documentation' %} {% block title %}Manage '{{ project.name }}' documentation{% endblock %} {% block main %}
Warning If you would like to DESTROY any existing documentation hosted at {{ project.documentation_url }}
There is no undo as uploading new documentation is no longer supported.
{% set action = request.route_path('manage.project.destroy_docs', project_name=project.normalized_name) %} {{ confirm_button("Destroy Documentation for project", "Project name", project.normalized_name, action=action) }}Uploading new documentation is no longer supported


ITS::WICS::XML2XLIFF::ITSProcessor - Process and convert XML and XLIFF ITS (internal use only).
The following function may be exported:
its_requires_inline
Return true if converting the ITS info on the given element requires that it be rendered inline (as mrk) instead of structural (as its own source). Currently the only information tested for is terminology information.
The arguments are the element being tested and the hash reference containing the global information pertaining to it.
transfer_inline_its
Transfer ITS that is required to be on a mrk (not on a source) from one element (first argument) to the another (second argument).
Arguments are the element to move the markup from and the element to move the markup to.
has_localizable_inline
Arguments: an array ref containing attribute nodes, and the match index containing the global ITS info for an element.
Returns true if there is any ITS information which must be placed as an attribute on the element which it applies to, if the element is inline.
convert_atts
Convert all XML ITS attributes into XLIFF ITS for the given element.
The arguments are: first the local element where any new attributes should be placed; second an array ref containing the attribute nodes to be converted; and third the trans-unit
element currently being created.
This is not necessary if the element in question is inline.
localize_rules
Arguments are: first an element to have ITS metadata applied locally; second the translation unit containing the element; third the match index containing the global ITS info for the element; and fourth an array ref containing the local attribute nodes assumed to exist on the element being processed.
This function converts ITS info contained in global rules matching the element into equivalent local markup on either the element itself or the trans-unit.
Nathan Glenn<EMAIL_ADDRESS>This software is Copyright (c) 2013 by DFKI.
This is free software, licensed under:
The MIT (X11) License


Regras de varredura ativa - beta
Este complemento contém as seguintes regras de varredura ativa em qualidade beta: Revelação de arquivos de Backup
Busca cópias de arquivos de backup no web server com nomes de arquivo triviais, que podem revelar informações confidenciais.
Erro de configuração de domínios cruzados
Verifica se o servidor web está configurado para permitir acesso Cross Domain, um serviço de terceiros mal-intencionado, por exemplo. Atualmente checa se há caracteres curinga no arquivo crossdomain.xml da Adobe e em clientaccesspolicy.xml do SilverLight.
CSRF Token
Scans for the existence of Anti-CSRF tokens.
Alerts on requests which do not appear to contain Anti-CSRF tokens.
Post 2.5.0 you can specify a comma separated list of identifiers in the
rules.csrf.ignorelist
parameter via the Options 'Rule configuration' panel.
Any FORMs with a name or ID that matches one of these identifiers will be ignored when scanning for missing Anti-CSRF tokens.
Only use this feature to ignore FORMs that you know are safe, for example search forms.
Expression Language Injection
Checks if the web application is subject to Expression Language (EL) injection attacks, which occur
when an application fails to sufficiently neutralize special elements that could modify the intended EL
statement before it is executed.
Heartbleed OpenSSL Vulnerability
Detects if the web server is vulnerable to the Heartbleed OpenSSL Vulnerability, by exploiting it.
For further details refer to CVE-2014-0160.
HTTP Parameter Pollution (HPP)
Supplying duplicate or numerous HTTP parameters with the same name may cause an application or website
to interpret values in unintended ways. By leveraging these effects, a malicious individual
may be able to bypass input validation, trigger errors or modify internal variable values.
There are difference in treatment of duplicate parameters impacting both clients (browsers) and servers.
Insecure HTTP Method
Detects (and exploits, depending on the scan settings) known insecure HTTP methods enabled for the URL.
Integer Overflow Error
Looks for indicators of integer overflows in compiled code that causes the web server to crash. It does
this by putting out multiple strings of integers designed to try and stimulate bad responses.
Padding Oracle
This scanner attempts to manipulate the padding of encrypted strings to trigger an error response
indicating a likely padding oracle vulnerability.
Such a vulnerability can affect any application or framework that uses encryption improperly, such as
some versions of ASP.net, Java Server Faces, and Mono.
Remote Code Execution - CVE-2012-1823
Detect CVE-2012-1823 to perform Remote Code Execution on a PHP-CGI based web server.
Session Fixation
Session Fixation may be possible. If this issue occurs with a login URL (where the user authenticates themselves to the application), then the URL may be given by an attacker, along with a fixed session id, to a victim, in order to later assume the identity of the victim using the given session id. If the issue occurs with a non-login page, the URL and fixed session id may only be used by an attacker to track an unauthenticated user's actions. If the vulnerability occurs on a cookie field or a form field (POST parameter) rather than on a URL (GET) parameter, then some other vulnerability may also be required in order to set the cookie field on the victim's browser, to allow the vulnerability to be exploited.
ShellShock - CVE-2014-6271
This scanner perform 2 attacks to detect servers vulnerable to CVE-2014-6271 aka ShellShock.
The first is a simple reflected attack and the second is a time based attack.
Post 2.5.0 you can change the length of time used for the attack by changing the rules.common.sleep
parameter via the Options 'Rule configuration' panel.
Source Code Disclosure - CVE-2012-1823
Exploit CVE-2012-1823 to disclose server-side PHP source code on a PHP-CGI based web server.
Only analyzes responses that are text based (HTML, JS, JSON, XML, etc), in order to avoid false positives which may occur with image or other binary content.
Source Code Disclosure - SVN
Uses Subversion source code repository metadata to scan for files containing source code on the web server.
Source Code Disclosure - /WEB-INF
Exploit the presence of an unprotected /WEB-INF folder to download and decompile Java classes, to disclose Java source code.
SQL Injection - Hypersonic (Time Based)
This scanner uses Hypersonic-specific SQL syntax to attempt to induce time delays in the SQL statement called by the page.
If the unmodified query is not affected by a time delay, and the modified query's delay can be controlled,
it is indicative of a time-based SQL Injection vulnerability in a Hypersonic SQL database.
This scanner is time sensitive, and should only be used in an attempt to find stubborn and un-obvious SQL
injection vulnerabilities in a suspected Hypersonic database.
For this reason, the number of active scan threads should be set to the minimum when using this scanner,
to minimise load on the web server, application server, and database, in order to avoid false positives caused by
load delays rather than by SQL injection delays.
The scanner tests only for time-based SQL injection vulnerabilities.
Post 2.5.0 you can change the length of time used for the attack by changing the rules.common.sleep
parameter via the Options 'Rule configuration' panel.
SQL Injection - MySQL (Time Based)
This scanner uses MySQL-specific SQL syntax to attempt to induce time delays in the SQL statement called by the page.
If the unmodified query is not affected by a time delay, and the modified query's delay can be controlled,
it is indicative of a time-based SQL Injection vulnerability in a MySQL database.
This scanner is time sensitive, and should only be used in an attempt to find stubborn and un-obvious SQL
injection vulnerabilities in a suspected MySQL database.
For this reason, the number of active scan threads should be set to the minimum when using this scanner,
to minimise load on the web server, application server, and database, in order to avoid false positives caused by
load delays rather than by SQL injection delays.
The scanner tests only for time-based SQL injection vulnerabilities.
Post 2.5.0 you can change the length of time used for the attack by changing the rules.common.sleep
parameter via the Options 'Rule configuration' panel.
SQL Injection - Oracle (Time Based)
This scanner uses Oracle-specific SQL syntax to attempt to induce time delays in the SQL statement called by the page.
If the unmodified query is not affected by a time delay, and the modified query's delay can be controlled,
it is indicative of a time-based SQL Injection vulnerability in a Oracle SQL database.
This scanner is time sensitive, and should only be used in an attempt to find stubborn and un-obvious SQL
injection vulnerabilities in a suspected Oracle database.
For this reason, the number of active scan threads should be set to the minimum when using this scanner,
to minimise load on the web server, application server, and database, in order to avoid false positives caused by
load delays rather than by SQL injection delays.
The scanner tests only for time-based SQL injection vulnerabilities.
Note that this rule does not currently allow you to change the length of time used for the timing attacks due to the way the delay is caused.
SQL Injection - PostgreSQL (Time Based)
This scanner uses PostgreSQL-specific SQL syntax to attempt to induce time delays in the SQL statement called by the page.
If the unmodified query is not affected by a time delay, and the modified query's delay can be controlled,
it is indicative of a time-based SQL Injection vulnerability in a PostgreSQL database.
This scanner is time sensitive, and should only be used in an attempt to find stubborn and un-obvious SQL
injection vulnerabilities in a suspected PostgreSQL database.
For this reason, the number of active scan threads should be set to the minimum when using this scanner,
to minimise load on the web server, application server, and database, in order to avoid false positives caused by
load delays rather than by SQL injection delays.
The scanner tests only for time-based SQL injection vulnerabilities.
Post 2.5.0 you can change the length of time used for the attack by changing the rules.common.sleep
parameter via the Options 'Rule configuration' panel.
Username Enumeration
It may be possible to enumerate usernames, based on differing HTTP responses when valid and invalid usernames are provided. This would greatly increase the probability of success of password brute-forcing attacks against the system. Note that false positives may sometimes be minimised by increasing the 'Attack Strength' Option in ZAP. Please manually check the 'Other Info' field to confirm if this is actually an issue.
This scanner is skipped if there are no contexts defined that use Form-based Authentication, and only runs against the URL identified as the login URL of a context.
XPath Injection
As described by OWASP: "XPath Injection attacks occur when a web site uses user-supplied information to
construct an XPath query for XML data. By sending intentionally malformed information into the web site,
an attacker can find out how the XML data is structured, or access data that he may not normally have access
to. He may even be able to elevate his privileges on the web site if the XML data is being used for
authentication (such as an XML based user file) or authorization." This scanner attempts to identify such
weaknesses.
XXE
This component attempts to identify applications which are subject to XML eXternal Entity (XXE) attacks.
Applications which parse XML input may be subject to XXE when weakly or poorly configured parsers
handle XML input containing reference to an external entity such as a local file, HTTP requests to
internal or tertiary systems, etc.
It requires the Callback extension, so will not work if this extension is disabled or removed.
It is also recommended that you test that the Callback extension is correctly configured for your target site.
If the target system cannot connect to the Callback Address then some XXE vulnerabilities will not be detected.


Nike Crafts Special Air Force 1s For New York, Los Angeles and Chicago
Dubbed the AF1 — ALL FOR 1 — collection, each shoe tells its city’s story through a different lens.
by Ross DwyerNodding to Los Angeles, New York and Chicago, Nike has crafted an Air Force 1 collection dubbed AF1 — ALL FOR ONE — made up of three designs that tell each city’s story in a bold fashion. From the warm sunshine of Los Angeles to the grit of NYC and the chilly winds of Chicago, each city has contributed immeasurably to street culture. Their respective Air Force 1s offer an insider’s perspective of sorts, as they were each crafted in tandem with local artists, government departments and community leaders.
First, Los Angeles presents an Air Force 1 High crafted by local artist Lauren Halsey. Its stark black base serves as a canvas for accents inspired by Los Angeles’s vibrant communities — namely the South Central neighborhood that Halsey grew up in. Prints on the sockliner and tongue tag nod to local storefronts and signs, while the lace deubre is a tact acknowledgement of Halsey’s Hieroglyph Crenshaw Project, a series of public murals that encourage communities to share their stories.
Next to bat is New York. Its stark black Air Force 1 Low with colorful accents is a collaboration with the city’s Parks Department, a municipal organization that’s responsible for overseeing the 1,900 parks spread across the five boroughs. From basketball courts to skateparks and lush green fields for relaxing, the parks play a huge part in city life. Therefore, the Parks Department’s signature leaf logo is presented boldly on the tongue, which also features interchangeable patches. The upper is constructed of leather and mesh panels inspired by chain-link fences, hi-vis reflective trim provides pops of flair, and the multicolor outsole is constructed of recycled Nike Grind material. It’s also accompanied by a 12-piece apparel collection.
Last but not least, Chicago is repped by an Air Force 1 Low. Calling upon No Cuts No Glory, a popular local barbershop owned by master barber Drew Henderson, the shoe salutes the communal atmosphere present in Henderson’s business and others like it around the Windy City. Unique tweaks include a special tongue tag that juxtaposes Chicago’s recognizable skyline into a barber’s comb, a pony-hair tab for a quite literal nod to haircuts, an icy sole with a black and white diamond pattern for a nod to traditional barbershop floors, and an insole graphic with two clasped hands for unity. It’s functional too, thanks to rolled midsole edges for easy clean-up and waxed laces.
The NYC pair is slated for a December 5 release, with LA and Chicago set to follow on December 7. All three styles will release on Nike SNKRS and at select boutiques in their respective cities.
Elsewhere, Nike Basketball has officially revealed the 2019-20 NBA City Edition jerseys.


[gecode-users] Variable base implementation question
Mikael Zayenz Lagerkvist
zayenz at kth.se
Wed Jan 7 08:13:53 CET 2009
Hi,
When a propagator subscribes to some variables, it will be scheduled
for propagation. When a propagator runs it gets a ModEventDelta that
has the strongest modification event describing the changes since the
last run of the propagator. For newly created propagators that just
subscribed to some variables there is no previous run of the
propagator, so there is no delta to supply. The SUBSCRIBE modification
event is the modification event used as the delta when scheduling the
propagator. For integer variables it is ME_INT_BND (passing ME_INT_DOM
would imply that no bounds reasoning was needed), and for set
variables it is CBB (both bounds and the cardinality has changed).
Hope this helps,
Mikael
On Tue, Jan 6, 2009 at 5:01 PM, Gustavo Gutierrez
<gutierrez.gustavo at uclouvain.be> wrote:
> Hello all,
>
> I have a question regarding the specification for variable base
> implementation in gecode. As far as i can see, there is some code in the
> gecode kernel which is automatically generated from *.vis files.
> Modification events and propagation conditions are defined in this kind of
> files. I am implementing a new variable type and i want to be sure i am
> doing it in the right way, so here is my question:
>
> - There are some special words to define modification events: FAILED, NONE,
> ASSIGNED and SUBSCRIBE. I am fine with the first three of them because it is
> straight forward what they mean. However the fourth one is not clear to me.
> According with the documentation (int.vis) SUBSCRIBE is used the first time
> a propagator subscription is processed. Does it means that after the first
> execution of the propagator, it will subscribe using the propagation
> conditions specified in its class definition?. In my particular case, i
> have only 3 modification events apart from the generic ones: lower bound
> modification, upper bound modification and both bounds modification events.
> I defined the last one (called ME_GRAPH_BB in my implementation) to be the
> one equal to the word SUBSCRIBE.
>
> For this case, if a propagator P subscribes to the propagation condition
> PC_GRAPH_GLB (i.e. class SomeProp : public UnaryProp<View,PC_GRAPH_GLB>
> ...), what is the effect of ME_GRAPH_BB=SUBSCRIBE with respect to other
> possible definition such as ME_GRAPH_GLB=SUBSCRIBE?
>
> thanks in advance,
>
> Gustavo.
>
> _______________________________________________
> Gecode users mailing list
> users at gecode.org
> https://www.gecode.org/mailman/listinfo/gecode-users
>
>
--
Mikael Zayenz Lagerkvist, http://www.ict.kth.se/~zayenz/
More information about the gecode-users
mailing list


How many dialogs to be retrieved as maximum. Can be set to undefined to retrieve all dialogs.
Note that this may take whole minutes if you have hundreds of dialogs, as Telegram will tell the library to slow down through a FloodWaitError.
The offset date of last message of dialog to be used.
The message ID to be used as offset.
offset Peer to be used (defaults to Empty = no offset)
Whether pinned dialogs should be ignored or not. When set to true, these won't be yielded at all.
Whether Chat that have migratedTo a Supergroup should be included or not.
By default all the chats in your dialogs are returned, but setting this to True will ignore (i.e. skip) them in the same way official applications do.
The folder from which the dialogs should be retrieved.
If left unspecified, all dialogs (including those from folders) will be returned.
If set to 0, all dialogs that don't belong to any folder will be returned.
If set to a folder number like 1, only those from said folder will be returned.
By default Telegram assigns the folder ID 1 to archived chats, so you should use that if you need to fetch the archived dialogs.
Alias for folder. If unspecified, all will be returned, false implies folder:0
and True implies folder:1
.
Generated using TypeDoc
interface for iterating and getting dialogs.


watching the waves
Roddy safety-ing
first time surf
Leslie showing off
the view upstream
synchronised surfing;)


| 1 | package fr.sii.ogham.testing.assertion.wiremock; | |
| 2 | ||
| 3 | import org.custommonkey.xmlunit.DetailedDiff; | |
| 4 | import org.w3c.dom.Document; | |
| 5 | ||
| 6 | import com.github.tomakehurst.wiremock.client.WireMock; | |
| 7 | import com.github.tomakehurst.wiremock.matching.MatchResult; | |
| 8 | import com.github.tomakehurst.wiremock.matching.StringValuePattern; | |
| 9 | ||
| 10 | import fr.sii.ogham.testing.helper.html.HtmlUtils; | |
| 11 | ||
| 12 | /** | |
| 13 | * Check if the HTML is similar to the expected. The HTML strings are parsed | |
| 14 | * into {@link Document}s. Two documents are considered to be "similar" if they | |
| 15 | * contain the same elements and attributes regardless of order. | |
| 16 | * | |
| 17 | * <p> | |
| 18 | * See {@link HtmlUtils} for more information about "similar" HTML. | |
| 19 | * | |
| 20 | * <p> | |
| 21 | * NOTE: {@link WireMock#equalToXml(String)} does an identical check. | |
| 22 | * | |
| 23 | * @author Aurélien Baudet | |
| 24 | * | |
| 25 | */ | |
| 26 |
1
1. match : All method instructions replaced by: return null; → NO_COVERAGE |
public class SimilarHtmlPattern extends StringValuePattern { |
| 27 | /** | |
| 28 | * Initialized with the expected HTML | |
| 29 | * | |
| 30 | * @param expectedValue | |
| 31 | * the expected HTML | |
| 32 | */ | |
| 33 | public SimilarHtmlPattern(String expectedValue) { | |
| 34 | super(expectedValue); | |
| 35 | } | |
| 36 | ||
| 37 | @Override | |
| 38 | public MatchResult match(String value) { | |
| 39 |
1
1. match : All method instructions replaced by: return null; → NO_COVERAGE |
DetailedDiff diff = HtmlUtils.compare(expectedValue, value); |
| 40 | return new MatchResult() { | |
| 41 | ||
| 42 | @Override | |
| 43 | public boolean isExactMatch() { | |
| 44 |
2
1. isExactMatch : All method instructions replaced by: return false → NO_COVERAGE 2. isExactMatch : All method instructions replaced by: return true → NO_COVERAGE |
return diff.similar(); |
| 45 | } | |
| 46 | ||
| 47 | @Override | |
| 48 | public double getDistance() { | |
| 49 |
2
1. getDistance : All method instructions replaced by: return 0.0 → NO_COVERAGE 2. getDistance : All method instructions replaced by: return 1.0 → NO_COVERAGE |
return diff.getAllDifferences().size(); |
| 50 | } | |
| 51 | }; | |
| 52 | } | |
| 53 | } | |
Mutations | ||
| 26 |
1.1 |
|
| 39 |
1.1 |
|
| 44 |
1.1 2.2 |
|
| 49 |
1.1 2.2 |


This was the first try to put a Mapbox map into a Website banner and implement some cool
animation. Basically the dark monochome map style of Mapbox is used, with most Components
disabled. It looks pretty neat, as Mapbox is already producing great styles.
The streets are implemented as a GEOJson data source. This demonstrates how easily any
kind of data can be shown on the map. You can easily add map markers, company headquaters,
point of interests and whatsoever.
The downside is speed. As I just import a raw openstreetmap data dump from Karlsruhe, the
application has to import 30MB of data, which may be too much for mobile devices. Check
out the Github to learn how to improve speed, or the Viridis Colorscale example, to serve
the streets with Mapbox.
This template uses Foundation CSS design. The map is powered by Mapbox GL, displaying street network build from OpenStreetMap data, distributed under ODbL 1.0 License.
If you reuse the template, please attribute hydrocode. You can use the
image above. Get in touch with us, if you need customization
or support.
Find the full code on Github


#include <b_at.h>
Definition at line 59 of file b_at.h.
Definition at line 63 of file b_at.h.
Definition at line 64 of file b_at.h.
Definition at line 62 of file b_at.h.
Definition at line 65 of file b_at.h.
Definition at line 66 of file b_at.h.
Definition at line 61 of file b_at.h.


--- layout: page footer: false ---
We are incredibly grateful to be included in Google Summer of Code 2014, our second year participating in GSoC.
Interested students should check out Colin Fuller's blog post about GSoC 2014. Applications are competitive, so we suggest you get started as soon as possible.
If you are a mentor and would like to get involved, please check in with us in the Google Group.
SciRuby is fully committed to diversity in open source science. If you know of a student who you think would be a good fit but might not otherwise apply for GSoC and think they'd like working on the SciRuby Project, please get in touch.
Ruby has for some time lacked libraries implementing the basic tools needed for scientific computing and data visualization.
We believe that the time for a Ruby science and visualization package has come. Sometimes when a solution of sugar and water becomes super-saturated, from it precipitates a pure, delicious, and diabetes-causing crystal of sweetness, induced by no more than the tap of a finger. So it is, we believe, with the need for numeric and visualization libraries in Ruby.
We are not the first with this idea, but we are bringing it to life.
We are nearing our first beta release of NMatrix, the SciRuby linear algebra library. NMatrix includes both dense and sparse matrix storage, and we are working on including full ATLAS and LAPACK support.
Word to the wise: These gems have been tested, but are not battle-hardened. If you're thinking of using NMatrix (or other SciRuby components) to write mission critical code, such as for a self-driving car or controlling an ARKYD 100 satellite, you should expect to encounter a few bugs --- and be prepared for them.
Instructions for installing various SciRuby components are available in our docs.
You can find our NMatrix documentation here.
You can find the full roster on our project wiki.
Say you have a few hours and are itching to get your hands dirty. The best place to look right now is the NMatrix issue tracker on Github. Pick something that interests you and fork us!
You might also check out the SciRuby issue tracker if matrices don't interest you much.
SciRuby and NMatrix are available under the BSD two-clause license.


Kuala Lumpur Marathon
Kuala Lumpur MAS
Website: www.kl-marathon.com
Race Winners
(25 runnings)
18 Mar
2007
2:17:38
2:48:09
05 Mar
2006
2:21:01
2:53:32
06 Mar
2005
2:25:50
2:52:54
29 Feb
2004
2:26:44
2:50:54
16 Feb 2003
2:33:37
3:02:20
2002
---
---
04 Mar 2001
2:26:25
2:53:40
30 Apr
2000
2:30:58
2:49:28
1995-1999
---
---
1994
2:29:28
2:58:51
1993
---
---
30
May 1992
2:21:58
2:54:48
12 May 1991
2:23:32
3:02:46
03 Jun
1990
2:31:37
2:57:55
02 Apr 1989
2:31:43
2:54:34
1988
---
---
19 Apr 1987
2:28:40
2:46:37
20 Apr 1986
2:21:35
3:02:43
20 Apr 1985
2:26:40
3:02:28
12 Feb 1984
2:23:06
2:48:03
Notes: 1984 was the inaugural year. In 2005, the first finisher, Henry Moyo (MAW) was disqualified for steroid
use. In 2016, the first finisher, Hirut Beyene Guangul (ETH) in 2:39:02,
was later disqualified for Methylhexanamine use.
21 May
2027
2:18:42
Cosmas Matolo Muteti (KEN)
2:36:13
Elizabeth Rumokol Chepkwana (KEN)
07 Aug
2016
2:18:57
Kennedy Kiptoo Lilian -5
2:39:14
Naomi Chepkosgei Maiyo (KEN)
04 Oct
2015
---
cancelled due to poor air quality
---
cancelled due to poor air quality
12 Oct
2014
2:17:47
Kennedy Kiptoo Lilian-4
2:43:22
Helen Wanjiru Mugo (KEN)
29 Sep
2013
2:19:01
Kennedy Kiptoo Lilian-3
2:41:05
Rose Cherotich Kosgei (KEN)
24 Jun
2012
2:14:46
Kennedy Kiptoo
Lilian-2
2:40:25
Elizabeth Chemweno Cheruiyot (KEN)
27 Jun
2011
2:20:08.1
Kennedy Kiptoo Lilian (KEN)
2:34:37.5
Roseline Nyangacha Kerubo (KEN)
27 Jun
2010
2:16:43
Nelson Kirwa
Rotich-2
2:46:43
Goitetom Haftu Tesema (ETH)
28 Jun
2009
2:17:03.0
Julius Ndiritu Karinga (KEN)
2:40:13.7
Fridah Lodepa
Chepkite-2
30 Mar
2008
2:15:32
Nelson Kirwa Rotich (KEN)
2:54:23
Fridah Lodepa Chepkite (KEN)
Cyprian Kiogara
Mwobi (KEN)
Winfrida Kwamboka
Nyasikira (KEN)
Samuel Tarus Too (KEN)
Xi-an Mushui (CHN)
John Sitienei
Cheboi (KEN)
Shi-dan Wang (CHN)
Benjamin Matolo
Mutua (KEN)
Yu-xi Wang (CHN)
Vladimir Kotov (BLR)
Yu-feng Yuan-2
not held
not held
Penuel Osoro
Nyagaka (KEN)
Sunisa Sailomyen (THA)
John Kemboi
Segero (KEN)
Yu-feng Yuan (MAS)
not held
not held
Ronald Mujuni (UGA)
Rigzin Angmo (IND)
not held
not held
Gan-jun Hu (CHN)
Ti-an Mei (CHN)
Naek Segala (INA)
Maria Lawalata-2
Palle Redder (DEN)
Sunita Godara (IND)
P Sidamparam (MAS)
Maria Lawalata (INA)
not held
not held
Daniel Duprix (BEL)
Mar-Mar Min (MYA)
Paul Herlihy (NZL)
Ma-Weik Pan (MYA)
Song-Rak Chae (KOR)
Lone Dybdal-2
Tommy Persson (SWE)
Lone Dybdal (DEN)
Most Wins (1984-date)
Men
5
Kennedy Kitoo Lilian (KEN)
2011-14,2016
Women
2
Lone Dybdal (DEN)
1984-85
.
Maria Lawalata (INA)
1989,1991
.
Yu-feng Yuan (MAS)
2000,2003
Fridah Lodepa
(KEN)
2008-09
Prize Money
(ADR qualified runners)
Year Men Women Total 2017 $45,835 $47,035 $92,870 2016 50,775 48,665 99,440 2014 45,450 45,550 90,950 2013 43,450 43,450 86,900 2012 45,250 42,750 88,000 2011 39,000 43,000 82,000 2010 43,500 43,500 87,000 2009 46,000 46,000 92,000 2008 26,730 10,375 37,105 2007 26,140 11,425 37,565 .... 2005 8,000 n/a 8,000 .... 2003 7,110 n/a 7,110 Sums $427,240 $381,700 $808,940
Race Time Bias (sec/km)
Year Men Women 2011 +10.3 n/c
Competitive Level (1990-date)
Year Men Women 2017<PHONE_NUMBER> n/c 200 2014<PHONE_NUMBER><PHONE_NUMBER> n/c 360 2011<PHONE_NUMBER><PHONE_NUMBER><PHONE_NUMBER> 43 n/c
Quality Performances
Men <2:15 1 <2:16 4 <2:17 10 <2:18 18 <2:19 25 <2:20 34 Women <2:36 2 <2:38 4 <2:40 5 <2:42 15 <2:44 23 <2:46 32 <2:48 48 <2:50 60
Last Updated on 23 May 2017
Contributors: Franco Civai (40), Juraj Gasparovic (6), Klaas Loonstra (20), Thierry Lefeuvre (2), Jad Adrian Washif (10), Marty Post (5)


Chefs In The Kitchen
What I think about the Dev Academy Experience
21st December 2014
What's my take on the video regarding EDA?
It pleasing to know that my initial take when I first came across EDA was backed up by Shereed in this video. I have had an interesting upbringing, leaving school without a qualification
, and pretty much being self employed as a contractor or consultant I had figured that whatever I was going to get out of EDA would be completley up to me. When talking to freinds and family
I the typical response was, do you get any sort of certificate or qualification from it, do they guaranteee you a job at the end it all? ... and my typical response was no, but i'm not that naive to think that there is anything else there that will guarantee me what I'm looking to get out of it. So it's going to be completely up to me make sure I get the most out of it. It also suits
the way I think and the way I learn, which is very independant if traditional ways of learning and doing!
I think whole makeup aligns with the EDA experience, so much so that making the decision to do EDA was not a concious descision other than running it past my wife. After viewing the material my
thinking was more about how I was going to do it rather than if I was going to do it.
My impression of EDA again aligns with the way I think, I have always been a self learn and a life learner, so I love the fact that it was conceived around a 'this is an experiment' concept
as I believe that some the traditional education institutes are too rigourous in terms of boxed thinking rather than agile, especially in the tech industry as things develop so rapidly, so
much so that by the time someone graduates from a 3 year degree, what they've learned is probably going to be out of date, so to me it's a bit like all of the stuff you where taught at school
is going to be redundant by the time you get a job and apply it to real world applications.
In a bizaare kind of way I am into failing fast as it suits my kind of learning as long as I don't make the same mistake twice. I think that if you fail you get to learn alot more than if you were to get things done quickly.
The perfect example is making a mistake with my blog on GitHub, I put it in the wrong directory and it took me while to figure it out and how to get make to it's normal state, while I was going
through that process I managed to learned a lot more about GitHub than if I got it right the first time. To me this is the natural state of learning and we have been doing this since we were first born.
I am super excited to have the opportunity to engage in this sort of culture in-fact probably relieved more so, as I had a firm believe that businesses just don't work in this kind of environment
hence the reason I've never worked for anyone else. I just thought businesses where just big dumb institutes and the only companies that do have the smarts at appreciating staff and growth are
companies like Google or Apple etc. I am also glad that EDA is inviting business in to help educate them into how an agile envornment works. Businesses need more educating on this type of environment.


pyviability.libviability module¶
Basic module that contains most of the relevant routines.
-
class
pyviability.libviability.
RemovingSetWrapper
[source]¶ Bases:
set
RemovingSetWrapper removes elements on iteration.
Note: Usually used internally only.
When iterating over RemovingSetWrapper, the iterated element is removed. This manages basically which points are still needed to iterate over in the viability algorithm.
-
pyviability.libviability.
backscaling_grid
(grid, scaling_vector, offset)[source]¶ Scale a grid back( after computation) from [0, 1]^dim to the original state space.
-
pyviability.libviability.
generate_grid
(boundaries, n0, grid_type='orthogonal', periodicity=[], verbosity=True)[source]¶ Generate a grid, that is already normalized to [0, 1]^dimension.
Note: This function also sets globally MAX_NEIGHBOR_DISTANCE, BOUNDS_EPSILON, STEPSIZE, ALL_NEIGHBORS_DISTANCE. So if you don’t use this function, you need to set it yourself by hand. Later, this will be circumvented by using proper OO-programming.
Parameters: - boundaries (array-like) – shape (dim, 2), give the boundaries (min and max) for each dimension of the mode system
- n0 (non-negative int) – total number of points that the grid should have
- grid_type (str, default: "orthogonal") – specify the grid_type to be created. experimental, only use if your know what you do
- periodicity (array-like, default: []) – specify if there is an peridicity given (to avoid overlapping points)
- verbosity (bool, default: True) – specify the verbosity
Returns: - (grid, scaling_vectors, offset, x_step) with
grid: the actual rescaled grid
scaling_vectors, offset : parameters to scale the grid back to the original size
x_step : stepsize of the grid
Return type: tuple
-
pyviability.libviability.
get_neighbor_indices_via_cKD
(index, neighbor_list=[])[source]¶ extend ‘neighbor_list’ by all neighbors that are closer than STEPSIZE + BOUNDS_EPSILON
-
pyviability.libviability.
make_run_function
(rhs, ordered_params, offset, scaling_vector, returning='linear', use_numba=True, nb_nopython=True, rescaling_epsilon=1e-06)[source]¶ Create a run-function from a right-hand side of an ordinary differential equation.
The run-function takes a starting point and a time and returns a trajectory that follows the corresponding ODE. It basically provides the step from a generic ODE to a map that gives the next point. The reason the return value is actually a trajectory and not just the next point is simply future compatibility.
Note: This function automatically rescales the RHS to work on [0, 1]^dim and homogenizes the time (see https://arxiv.org/abs/1706.04542).
Parameters: - rhs (callable) – Function that representes the RHS of the ODE. The first two arguments should be the point x in state space and the time t. The following arguments should be parameters that are need to be given, if necessary.
- ordered_params (tuple) – The parameters needed for rhs.
- offset (array-like) – output from grid rescaling, see generate_grid
- scaling_vector (array-like) – output from grid rescaling, see generate_grid
- returning (str, default : "linear") – only change of you know what you do
- use_numa (bool, default : True) – Should numba be used?
- nb_nb_nopython (bool, default : True,) – If numba is used, force nopython-mode?
- rescaling_rescaling_epsilon (float, default : 1e-6) – When homogenizing the time, which epsilong value should be used. see https://arxiv.org/abs/1706.04542
Returns: The corresponding run-function.
Return type: callable
-
pyviability.libviability.
plot_areas
(coords, states)[source]¶ plot the current states in the viability calculation as areas
-
pyviability.libviability.
plot_points
(coords, states, markersize=15, plot_unset=False)[source]¶ plot the current states in the viability calculation as points
-
pyviability.libviability.
pre_calculation_hook_kdtree
(coordinates, states, is_sunny=None, periodicity=None, grid_type=None, out_of_bounds=True)[source]¶ Do all prepratory stuff for a viability computation.
Note: Usually used internally only.
This function creates the KDTREE, makes a variety of variables globally accessible.
-
pyviability.libviability.
print_evaluation
(states, print_empty_regions=True, print_unknown=True)[source]¶ Print an Evaluation of the results of an TSM-Computation.
-
pyviability.libviability.
printv
(*args, verbosity=1, date_behind=False, **kwargs)[source]¶ Print the output depending on the given verbosity.
-
pyviability.libviability.
scaled_to_one_sunny
(is_sunny, offset, scaling_vector)[source]¶ Scale the is_sunny function so it operates on [0, 1]^dim.
-
pyviability.libviability.
set_global_status
(*args, print_verbosity=None)[source]¶ Setting the global Status of a Computation so it can be read out in case of Errors.
-
pyviability.libviability.
state_evaluation_kdtree
(traj)[source]¶ Get the closest point to the end of the trajectory in the grid using KDTREE.
Note: Used internally during the viability computations.
-
pyviability.libviability.
topology_classification
(coordinates, states, default_evols, management_evols, is_sunny, periodic_boundaries=[], compute_eddies=False, pre_calculation_hook=<function pre_calculation_hook_kdtree>, state_evaluation=<function state_evaluation_kdtree>, post_computation_hook=<function reset_initial_states>, grid_type='orthogonal', out_of_bounds=True, remember_paths=False, verbosity=0, stop_when_finished='')[source]¶ Estimate different regions of the state space using viability theory algorithms.
This function computes the Topology of Sustainable Management (TSM) classification of the state space (see [1] for mathematical details).
The first application can be found in [2].
[1] http://www.earth-syst-dynam.net/7/21/2016/esd-7-21-2016.html
[2] https://arxiv.org/abs/1706.04542
Note: A state is an integer referring to a certain region (in the sense of TSM), corresponding as to how they are defined in the header of this file
Parameters: - coordinates (array-like) – Grid used for the computation, shape (n0, dim) where n0 is the total number of points and dim the dimension of the system
- states (array-like) – associates to each grid point the corresponding state. negative values correspond to preset values given by the user. The results will be saved in here.
- compute_eddies (bool, default : True) – Should the Eddies be computed as well. As indicated in [2], this may take quite a bit of computational power and is hence switched of generally.
- pre_pre_calculation_hook (callable, default : pre_pre_calculation_hook_kdtree) – ignore if you don’t know what to do
- state_evaluation (callable, default : state_evaluation_kdtree) – ignore if you don’t know what to do
- post_computation_hook (callable, default : reset_initial_states) – ignore if you don’t know what to do
- grid_type (str, default : "orthogonal") –
- out_of_bounds (bool, default : True) – Is outside of the grid a undesirable region (in the sense of TSM)?
- remember_paths (bool, default : False) – Remember the paths that have been used. This is actually more of a hack and should not really be used.
- verbosity (int, default : 0) –
- stop_when_finished (str, default : '') – For Debugging only: stop when a certain operation has finished. See TOPOLOGY_STEP_LIST for the list of possible values.


--- layout: post status: publish published: true title: Studying HtDP author: display_name: Geoff Lane login: admin email<EMAIL_ADDRESS>url: http://www.zorched.net author_login: admin author_email<EMAIL_ADDRESS>author_url: http://www.zorched.net date: '2008-10-19 16:46:36 -0400' date_gmt: '2008-10-19 22:46:36 -0400' categories: - Scheme tags: - functional programming - HTDP comments: [] ---
I haven't posted in a while, but I've recently been studying How to Design Programs (HtDP). It's really a book about teaching beginners how to program by following a series of recipes that tell you how to identify and solve different classes of problems. The techniques are taught in a very basic subset of Scheme. (There are actually multiple learning languages that slowly build up the available functionality.) You don't have to know any Scheme to get started though.
They explain a bit about equality and conditionals: {% highlight scheme %} (= 1 1) ; true (and true true) ; true (or true false) ; false (and (>= 1 1) (= 2 2)) ; true {% endhighlight %}
Then building on basic arithmetic and boolean logic, they add a bit of algebra to teach how to define your own methods: {% highlight scheme %} (define (add1 n) (+ n 1)) (define (sqr n) (* n n))
;; Tests (= (add1 2) 3) (= (sqr 10) 100) {% endhighlight %}
It grows from those simple constructs into how to build structured and list data and how to process those kinds of data.
Multi-core processing is the future and functional programming, due to the ability to much more easily create side-effect free programs, is well suited for parallelization. Understanding functional programming is going to be very important for programmers in the future. We might never go to all functional programming, but we might go to more mixed-mode languages that allow us to easily write parallelized code for portions of a program that need it.


We visualize networks!
- synergize strategic paradigms
- transform interactive methodologies
- benchmark mission-critical platforms
- reinvent B2C vortals
- utilize turn-key methodologies
- productize viral metrics
- evolve clicks-and-mortar partnerships
- synergize dot-com e-business
- morph clicks-and-mortar action-items
- deliver front-end functionalities
- harness holistic systems
- e-enable end-to-end technologies
- strategize real-time ROI


The Java programming language was developed at Sun Microsystems and originally
became popular as a language for Internet applications (applets). Such applets are embedded
within WWW pages and executed in the user’s browser. A special format called byte
code is used instead of ordinary machine code, and by using a special Java interpreter program
that code can be executed on any computer. Such an interpreter is called a Java Virtual
Machine (JVM) and is available for most modern computer systems.
(There is nothing about the Java language itself that enforces the byte code technique –
there are actually some compilers who generate real machine code, known as native code,
directly.)
The Java language is not limited to Internet applications. It is a complete general objectoriented
language and can be used to develop many kinds of applications. Although the
syntax of Java is very similar to that of C++, many complicated and error-prone features of
C++ have been removed. The result can be described as a Simula with C++ syntax.
Sun Microsystems (who created the Java language) provide free tools for developing Java
software. The Java home page <http://java.sun.com> has links to Java compilers for
most computer systems (such as Unix and Microsoft Windows), as well as a lot of documentation.
It is possible to download a Java compiler and use it for free.
Compiling and running Java programs
In Java, every source file usually contains exactly one class. The file must have the same
name as the class; a class named TurtleMaze would be stored in the source file
TurtleMaze.java.
This source file can then be compiled using the javac compiler:
% javac TurtleMaze.java
The output of the compiler is a file with the same name as the source file, but with the
extension .class instead of .java (i.e., TurtleMaze.class in the above example). That
class file contains the byte code mentioned earlier, so it cannot be executed right away.
Instead it is executed using the JVM (byte code interpreter) as follows:
% java TurtleMaze
This command loads the TurtleMaze class and executes its main method (that is, starts the program). If the TurtleMaze class in turn uses other classes, these are loaded automatically when needed. Since every class should be in its own file, several files can need to be recompiled at the same time. The javac compiler has a special option -depend to compile all files that depend on a particular file. The command % javac -depend TurtleMaze.java will compile not only TurtleMaze.java, but also all changed files it depends upon.
Java is both a programming language and a platform for running compiled Java code. This platform consists mainly of the JVM, but also includes an execution environment that supports the JVM's execution on the underlying (native) platform. The JVM includes several components for loading, verifying, and executing Java code. Figure 1 shows how a Java program executes on this platform.
A Java program consists of at least the main class file, which is the first class file to be loaded, verified, and executed.
The JVM delegates class loading to its classloader component. Classloaders load class files from various sources, such as file systems, networks, and archive files. They insulate the JVM from the intricacies of class loading.
A loaded class file is stored in memory and represented as an object created from the Class class. Once loaded, the bytecode verifier verifies the various bytecode instructions to ensure that they are valid and won't compromise security.
If the class file's bytecodes are not valid, the JVM terminates. Otherwise, its interpreter component interprets the bytecode one instruction at a time. Interpretation identifies bytecode instructions and executes equivalent native instructions.
| The standard class library |
| Java includes a large runtime library of class files, which store compiled classes and other types. I refer to this as the standard class library. You'll encounter standard class library types (such as Class) throughout the Java |
Developing Java applications
In this series, I'll present most examples in the form of applications. An application is minimally implemented as a single class that declares a main() method, as follows:
class X { public static void main(String[] args) { } }
Think of a class as a placeholder for declaring methods and data item storage locations. The class declaration begins with the reserved word class, which is followed by a mandatory name, which is represented by X, a placeholder for an actual name (e.g., Account). The name is followed by a body of methods and data item storage locations; the body is delimited by open brace ({) and close brace (}) characters.
Think of a method as a named block of code that processes inputs and returns an output. main() receives an array of String objects describing its inputs; the array is named args. Each object identifies a string, a double-quoted sequence of characters that (in this case) denotes a command-line argument, such as a file's name passed to the application as one of its arguments. main() doesn't return an output, and so it is assigned the void reserved word as its return type.
Class and file name are always same and starts with a capital word.
There is nothing special about my choice of args. You could name this array Args, arguments, or even something_else. However, args is conventionally used.
Additionally, main()'s header is assigned public and static so that it can be called by the java application launcher. Following this method header is a body of code; as with a class body, the method body is delimited by brace characters.
This is all you need to know about classes and methods (especially main()) in order to code your first Java application. You'll learn more about these language features (along with strings, arrays, return types, and more) in new/nexte articles.
It's traditional to introduce a computer language by presenting a program that outputs the famous hello, world message. Listing 1 accomplishes this task:
Listing 1. HelloWorld.java (version 1) class HelloWorld { public static void main(String[] args) { System.out.println("hello, world"); } }
The application's class is named HelloWorld. Its main() method executes System.out.println("hello, world"); to send the contents of the "hello, world" string to the standard output stream, which is typically the command line.
Store Listing 1 in a file named HelloWorld.java. Then, at the command line, execute the following command to compile this source file:
javac HelloWorld.java
Note that javac requires the .java file extension; otherwise, it generates an error message. If the source code compiles without an error, you should observe HelloWorld.class in the current directory.
HelloWorld.class contains the executable equivalent of HelloWorld.java. To run this class file via the java application launcher tool, execute the following command:
java HelloWorld
Note that java doesn't permit you to include the .class file extension; if you do so it will generate an error message.
Assuming you've written your program correctly, you should observe the following output:
hello, world
If you see this output, congratulate yourself. You've just compiled and run your first Java application! There will be many more examples throughout the rest of this series.
Personalizing hello
We can improve on Listing 1 by personalizing the application. For example, you might want to output hello, Java instead of hello, world. Listing 2 shows this enhancement of the original program:
Listing 2. HelloWorld.java (version 2) class HelloWorld { public static void main(String[] args) { System.out.println("hello, " + args[0]); } }
Listing 2 shortens "hello, world" to "hello, " and appends + args[0] to join the args array's first string to the message. The result is then output.
"hello, " + args[0] is an expression that appends the string in the first element of the args array to hello, . (You'll learn more about expressions and this string concatenation later in the Java 101 series.)
Compile Listing 2 (javac HelloWorld.java) and run the application with a single command-line argument, as follows:
java HelloWorld Java
You should observe the following output:
hello, Java
Suppose you execute HelloWorld without any command-line arguments, as in java HelloWorld. This time, you will see something different:
Exception in thread "main" java.lang.ArrayIndexOutOfBoundsException: 0 at HelloWorld.main(HelloWorld.java:5)
This error message refers to an exceptional condition that has arisen. Specifically, because there are no command-line arguments, args[0] doesn't contain anything. The attempt to access args[0]'s non-existent string is illegal.
As you develop Java applications, you'll run into many more exceptional messages like this one. Rather than be intimidated, think of these messages as tips for correcting problems.
In conclusion
We've covered a lot of ground in this article. You've learned that Java is a language and a platform. You're aware of the various Java editions. You know how the JVM executes Java class files. You've discovered the difference between the JRE and the JDK, and how to set up the JDK on your system. You've gained insight into the architecture of a Java application and learned how to compile source code and execute class files via the javac and java tools, respectively.
We'll build on this foundation in the next article in this series, where I will begin introducing fundamental Java language features. Mastering these features will enable you to create applications that are similar in architecture to programs from the structured programming era. It will also give you the foundation to dive into Java's support for classes, objects, and related features.
Goto www.learnjavaonline.com for more & online compiler


Saturday, May 4, 2019
Join us at the Andrew Mellon Auditorium for a multimedia event to celebrate the design aspects of your favorite content creators. We're joined with experts in fields from videogame design to YouTube.
| Topic | Location | Time |
|---|---|---|
| All-Speaker Panel | Main Ballroom | 9:00am |
| Full-Length Video | Main Ballroom | 11:00am |
| Full-Length Video, Speaker Questions | Front Hall | 12:00pm |
| Bite-Size Video | Main Ballroom | 1:00pm |
| Bite-Size Video, Speaker Questions | Front Hall | 2:00pm |
| Gaming | Main Ballroom | 3:00pm |
| Gaming, Speaker Questions | Front Hall | 4:00pm |


|
| DEPRECATED | GetBalances (const std::vector< std::string > &balances, const Types::Trytes &milestone, const int64_t &milestoneIndex) |
| |
| | GetBalances (const std::vector< std::string > &balances={}, const std::vector< Types::Trytes > &references={}, const int64_t &milestoneIndex=0) |
| |
| | GetBalances (const json &res) |
| |
| | ~GetBalances ()=default |
| |
| void | deserialize (const json &res) override |
| |
| const std::vector< std::string > & | getBalances () const |
| |
| const std::vector< Types::Trytes > & | getReferences () const |
| |
| DEPRECATED const Types::Trytes & | getMilestone () const |
| |
| const int64_t & | getMilestoneIndex () const |
| |
| | Base (const int64_t &duration=0) |
| |
| | Base (const json &res) |
| |
| virtual | ~Base ()=default |
| |
| const int64_t & | getDuration () const |
| |
| void | setDuration (const int64_t &duration) |
| |
GetBalances API call response.
Returns the confirmed balance, as viewed by tips, in case tips is not supplied, the balance is based on the latest confirmed milestone. In addition to the balances, it also returns the referencing tips (or milestone), as well as the index with which the confirmed balance was determined. The balances is returned as a list in the same order as the addresses were provided as input.
https://iota.readme.io/reference#getbalances


Implements two methods: a nonparametric risk adjustment and a data imputation method that use general population mortality tables to allow a correct analysis of time to disease recurrence. Also includes a powerful set of object oriented survival data simulation functions.
| Version: | 2.5 |
| Depends: | survival, rms, relsurv, cmprsk, MASS, methods |
| Imports: | Rcpp (≥ 0.11.1), mitools |
| LinkingTo: | Rcpp |
| Published: | 2017-05-14 |
| Author: | Tomaz Stupnik [aut, cre], Maja Pohar Perme [ctb] |
| Maintainer: | Tomaz Stupnik <tomaz.stupnik at guest.arnes.si> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| CRAN checks: | missDeaths results |
| Reference manual: | missDeaths.pdf |
| Package source: | missDeaths_2.5.tar.gz |
| Windows binaries: | r-devel: missDeaths_2.5.zip, r-release: missDeaths_2.5.zip, r-oldrel: missDeaths_2.5.zip |
| OS X binaries: | r-release: missDeaths_2.5.tgz, r-oldrel: missDeaths_2.5.tgz |
| Old sources: | missDeaths archive |
Please use the canonical form https://CRAN.R-project.org/package=missDeaths to link to this page.


The cards class is the way to store card data of your customers safely to improve the shopping experience.
This will allow your customers to complete their purchases much faster and easily, since they will not have to complete their card data again.
This class must be used in conjunction with the Customer class.
Card Token class This class will allow you to send your customers card data for Mercado Pago server and receive a token to complete the payments transactions.
This class allows you to store customers data safely to improve the shopping experience.
This will allow your customer to complete their purchases much faster and easily when used in conjunction with the Cards class.
This class will allow you to create and manage your orders. You can attach one or more payments in your merchant order.
This class provides the methods to access the API that will allow you to create your own payment experience on your website.
From basic to advanced configurations, you control the whole experience.


This is the guidance for the Linear Combinations vizualisation.
The number of elements slider allows you to adjust the level of discretization used. Increasing the number of elements increases the accuracy of the simulation until results converge.
The mode shape i slider allows you to change the mode shape eigenvector of the linear combination to be animated.
The mode shape j slider allows you to change the second mode shape in the linear combination to be animated.
This slider allows you to change the fraction of each mode shape. Completely to the left, results in showing only mode i. Completely to the right, results in showing only mode j.
The slow-motion slider allows you to adjust the speed of the animation. Note this animated frequency does not represent reality, the lowest modal frequency is 12.7Hz! Also the animated frequency of mode shape i is set to be constant, with the frequency of mode shape j set relative to this. As the difference between i and j increases, so will the animated frequency of mode shape j. Use the slow down slider to adjust this.
Have fun!


Class for a Point.
More...
#include <point.h>
|
|
int | x |
| |
|
int | y |
| |
|
int | discard |
| |
| float | x |
| | < x value of the point More...
|
| |
|
float | y |
| |
Class for a Point.
Point.
Point class for the Kirk Patrick Seidel.
Empty constructor.
An empty constructor.
| Point::Point |
( |
float |
, |
|
|
float |
|
|
) |
| |
A constructor given the x and y value.
A constructor given the x and y value.
| Point::Point |
( |
const Point & |
| ) |
|
A Point& constructor.
A constructor given a point.
| int Point::dist |
( |
Point |
zero | ) |
|
calculating distance from another point
- Parameters
-
| zero | Specified point of the null |
- Returns
- The distance of the point
| bool Point::equal |
( |
Point |
| ) |
|
Checks the equality of points.
- Parameters
-
- Returns
- boolean value of euqlity
Calculates the polar value.
- Parameters
-
| pt2 | the point whose polar we want |
| zero | Origin point |
- Returns
- Polar value
| void Point::swap_pt |
( |
Point * |
pt | ) |
|
| static bool Point::ValueCmp |
( |
Point const & |
a, |
|
|
Point const & |
b |
|
) |
| |
|
inlinestatic |
A function which compares two points whether they are equal.
- Parameters
-
| a | reference Point1. |
| b | reference Point2. |
- Returns
- true value if points are equal
< x value of the point
y value of the point
The documentation for this class was generated from the following files:
- graham_scan/graham_scan_2.cpp
- KirkPatrickSeidel/include/point.h


Visual C#, How to Program 2nd Edition incorporates an easy-to-follow, carefully developed early classes and early objects approach with comprehensive coverage of the fundamentals of object-oriented programming. It includes a new, optional automated teller machine (ATM) case study that teaches the fundamentals of software engineering and object-oriented design with the UMLT 2.0. There are additional integrated case studies throughout the book including: the Time class, the Employee class and the GradeBook class. We provide discussions of more advanced topics such as XML, ASP.NET, ADO.NET and >Web services as well as new topic coverage of partial classes, generics, the My namespace and Visual Studio 2005's updated debugger features.


The SIGIR Workshop on eCommerce will serve as a platform for publication and discussion of Information Retrieval and NLP research & their applications in the domain of eCommerce. This workshop will bring together practitioners and researchers from academia and industry to discuss the challenges and approaches to product search and recommendation in eCommerce.
SIGIR eCom is a full day workshop taking place on Thursday, July 12, 2018 in conjunction with SIGIR 2018 in Ann Arbor, Michigan, USA.
Liangjie Hong is the Head of Data Science at Etsy Inc. He drives Machine Learning and Data Science vision at Etsy and delivers cutting-edge scientific solutions for Search & Discovery, Personalization & Recommendation and Computational Advertising by utilizing a wide range of technologies including deep learning, probabilistic modeling, image understanding (computer vision), user profiling, query understanding, text mining and others. Previously, he was Senior Manager of Research at Yahoo Research from 2013 to 2016, leading science efforts for Personalization and Search Sciences. Prior to Yahoo Research, he obtained his Ph.D. from Lehigh University.
Vanessa Murdock leads a research group at Amazon Research, whose focus is personalization and recommender systems. Previously, she worked in an eCommerce group at Microsoft as Principal Data Scientist, leading a research team that developed ML techniques for account attribution, advertising, and device fingerprinting. Prior to Microsoft, Murdock worked at Yahoo! Research in Barcelona, Spain where she led the Geographic Context and Experience Group, doing research on topics related to geographic information retrieval and user-generated content. She has been awarded 15 patents, and has more than 30 patent applications pending, resulting in a Master Inventor Award from Yahoo! (2012). She received the OAA Award for Outstanding Achievement by a Young Alum from the University of Massachusetts in 2014. She has more than 50 publications in the area of Information Retrieval. Murdock received a Ph.D. in Computer Science from the University of Massachusetts Amherst in 2006.
| Jaap Kamps University of Amsterdam The Netherlands Moderator |
Grant Ingersoll Lucid Works USA |
Alistair Moffat University of Melbourne Australia |
Vanessa Murdock Amazon USA |
Mohit Sharma Walmart Labs USA |
| Morning Session | |
|---|---|
| 8:55 am | Opening Remarks |
| 9:00 am |
Keynote Search For E-Commerce: (Not) Solved (Yet) Liangjie Hong |
| 9:45 am | Contributed Talk - Paper 1
Towards a simplified ontology for better e-commerce search Aliasgar Kutiyanawala, Prateek Verma and Zheng Yan |
| 10:05 am | Coffee Break |
| 10:30 am |
Contributed Talk - Paper 2 Did We Get It Right? Predicting Query Performance in E-commerce Search Rohan Kumar, Mohit Kumar, Neil Shah and Christos Faloutsos |
| 10:50 am |
Breakout Session |
| 11:40 am |
Breakout Session Reports |
| 12:00 pm | Lunch Break (Lunch not Provided) |


Examples
Basic
Without any options configured and sixten slides added to JasCarousel
Auto
Without any options configured and sixten slides added to JasCarousel
Previous direction
Without any options configured and sixten slides added to JasCarousel
Vertical
Without any options configured and sixten slides added to JasCarousel
Front face slide horizontal
Without any options configured and sixten slides added to JasCarousel
Front face slide vertical
Without any options configured and sixten slides added to JasCarousel
Move slide on click
Without any options configured and sixten slides added to JasCarousel


Layout modules are more complex than utilities and are tied to markup structure. They are designed to be highly reusable and to inter-operate with other styles.
The utility-based grid allows a lot of flexibility in creating complex layouts.
Start by using a .clearfix
container.
Optionally use a .container
to set a max-width.
Adjust the container width with the --container-width
variable.

Add columns using the .col
and grid width .col-N
classes.
.col
floats elements left and sets box-sizing to border-box.
.col-N
sets width according to a 12 column grid.
The total number of columns in a row should add up to 12.

.col.col-6

.col.col-6

Use breakpoint-prefixed column utilities to change the grid at different screen widths. Each breakpoint applies to that screen width and up. Unprefixed styles apply to all screen widths.

.sm-col.sm-col-6.md-col-5.lg-col-4

.sm-col.sm-col-6.md-col-7.lg-col-8

Use padding and negative margin utilities to create gutters based on the white space scale. When using negative margin, be sure to compensate for the extra width created with a padded parent element or by using overflow hidden. Otherwise, horizontal scrolling may occur.

.px2

.px2

Nest whole grid structures within columns to created nested grids.

Unnested

Nested

Nested

To reverse the order of columns, use the .col-right
class to float right

.col-right.col-6

.col.col-6

Use the .mx-auto
class to center columns within their containers.

Centered Column

The grid is also available as a standalone NPM module.
npm install basscss-grid
Use the table object to vertically center content.
These styles can be combined with grid width and white-space utilities for a wide range of layout options.
Apply padding to .table-cell
elements to contol spacing.
For vertically centered content

.table-cell

For vertically centered content

.table-cell

The flag object
can be emulated by adding .full-width
to one of the cells.
To add padding to the body, nest another div within the full-width cell.
The full-width utility makes the table object behave like the flag object.

Image

Flag Body

The full-width utility makes the table object behave like the flag object.

Use the .table-fixed
extension to create equal-width cells.
For vertically centered content

.table-cell

For vertically centered content

.table-cell

.table-cell

Use breakpoint prefixes to keep table objects stacked at smaller screen sizes. This is useful for things like navigation.
Only kicks in above the small breakpoint
Only kicks in above the large breakpoint

.sm-table-cell

Only kicks in above the small breakpoint

.sm-table-cell

.lg-table-cell

Only kicks in above the large breakpoint

.lg-table-cell

The table object can be combined with grid width utilities to create vertically centered columns.
For vertically centered content

.table-cell.col-7

For vertically centered content

.table-cell.col-5

The table object is also available as a standalone NPM module.
npm install basscss-table-object


{{ extend "./_layouts/home.html" }}{{ block "title" }}Furniture{{ /block }} {{ block "head" }} {{ /block }} {{ block "body" }} {{ include "./_partials/breadcrumbs.html" }} FILTER BY PRICE $20000 - $80000 CATEGORIES Best Selling (15) Man (16) Accessories (2) Coats & Jackets (5) Jeans (1) New Arrivals (0) Suits (1) Casual Shirts (0) Sales (15) Woman (15) Accessories (2) New Arrivals (0) Dresses (1) Casual Shirts (0) Shorts (4) NEW PRODUCT occaecat cupidatat $180 Add To Car eum fugiat quo $250 Add To Car officia deserunt $280 Add To Car SUMMER COLLECTION 55% FLAT DISCOUNT Item on page 9 Item on page 18 Item on page 32 All Default sorting Sort by popularity Sort by average rating Sory by price 2016 NEW COLLECTION Temporibus autem quibusdam et aut officiis debitis aut rerum necessitatibus saepe eveniet ut et voluptates repudiandae sint et molestiae non recusandae. FORMAL SHIRT Vel illum qui dolorem. $280 $150 Add To Car Quick View FORMAL SHIRT Vel illum qui dolorem. $480 $400 Add To Car Quick View FORMAL SHIRT Vel illum qui dolorem. $520 $500 Add To Car Quick View CASUAL SHOES Vel illum qui dolorem. $520 $500 Add To Car Quick View CASUAL SHOES Vel illum qui dolorem. $520 $500 Add To Car Quick View CASUAL SHOES Vel illum qui dolorem. $520 $500 Add To Car Quick View BLAZER Vel illum qui dolorem. $520 $500 Add To Car Quick View BLAZER Vel illum qui dolorem. $520 $500 Add To Car Quick View BLAZER Vel illum qui dolorem. $520 $500 Add To Car Quick View « 1 2 3 4 5 » {{ /block }} {{ block "script" }} {{ /block }}
$20000 - $80000
$180
$250
$280
Temporibus autem quibusdam et aut officiis debitis aut rerum necessitatibus saepe eveniet ut et voluptates repudiandae sint et molestiae non recusandae.
Vel illum qui dolorem.
$280 $150
$480 $400
$520 $500


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Fast 3D Mesh glyph mapper macro, that efficiently replicates glyph geometry at given coordinates.
Input Ports
Name Type Description glyph_fld Mesh geometry that should be placed at coordinates. coords float[][2] coordinate position list.
Name Type Description UI Control scale float scaling factor for each glyph. UIslider Output Ports
Name Type Description out_mesh Mesh output mesh containing the replicated glyphs. out_obj DataObject directly renderable output object.
The fast_glyph_3D macro takes a list of 3D coordinate positions and a glyph shape, and replicates that glyph at all coordinate positions. The macro outputs a 3D mesh and a directly renderable DataObject.
The fast_glyph_3D macro and the low-level FastGlyph3DCore module were developed from the fast_glyph_2D macro and modules. They share many of the same features and limitations of the original modules. The most important difference is that the fast_glyph_3D macro provides no control over the orientation of the replicated glyphs. The module is also only able to deal with and output 3D data. It expects that the coordinates are supplied as a series of x-y-z triplets. The advantage of these limitations is that the fast_glyph_3D macro is at least 4 times faster than the standard glyph macro.
glyph_fld
Connection to the glyph geometry that should be replicated at each supplied point. It is assumed that the glyph is 3D, has no node data and has a single cell set. If this is not the case the node data will be discarded by the module and only the first cell set will be used for the output glyphs.
coords[][3]
Connection to a float array containing the 3D positions of each point. Examples of how to construct this array from arrays of x, y and z coordinates and from Field data can be seen in the example applications.
scale
Floating point parameter that specifies how much the glyphs should be scaled by. This parameter applies globally to the glyphs generated and will mostly be used to size the glyphs appropriately for the data set.
out_mesh
Mesh containing the replicated glyph geometry. This mesh will only contain a single cell set and no node data or cell data.
out_obj
The directly renderable output of the fast_glyph_3D macro. The DataObject contained within this output is generated from the same data as that output by out_mesh. This renderable output is the output that will normally be used.
The fast_glyph_3D use macro makes use of the FastGlyph3D functional macro and the FastGlyph3D user interface macro. The FastGlyph3D functional macro is a wrapper around the FastGlyph3DCore low-level module. This module contains all the C++ code necessary for this macro.
Two example applications are provided, FastGlyph3D_SimpleEg and FastGlyph3D_SizeEg. The FastGlyph3D_SimpleEg application demonstrates how 3 arrays containing x coordinates, y coordinates and z coordinates can be input into the fast_glyph_3D macro to generate 4 diamond glyphs. The FastGlyph3D_SizeEg application demonstrates the fast_glyph_3D macro generating a large number of cross glyphs. The hydrogen data-set is read, several visualizations performed and a glyph drawn at each node point of each of these visualizations.
xp_comm_proj/fglyph/fgmods.v contains the V definitions of the FastGlyph3DCore module.
xp_comm_proj/fglyph/fgmacs.v contains the V definitions of the FastGlyph3D Functional macro, the FastGlyph3DUI UI macro, the fast_glyph_3D user macro and the example applications.
To gain the extra performance necessary this macro makes a number of assumptions and is less general than the original glyph module. The important assumptions are mentioned above. A complete list of assumptions is shown below:
- The input is a raw coordinate array rather than a field.
- The input coordinate array is assumed to be 3D (x-y-z) triplets.
- Only one glyph shape is drawn at each node. The module does not deal with multiple glyphs, such as in the geo_glyph module.
- It only processes the first cell set of the glyph. If the glyph has several cell sets, such as lines and quads, it will only use the first one in the list.
- The output is a Mesh with only one cell set. This is very efficient for rendering speed.
- All node data is ignored, if present on the input field (coordinates) or the glyph field. This module only processes geometry.
- When using the Developer's edition of AVS/Express the renderable output is a light-weight DataObject designed to go into a 3D viewer. This object is not available in the Visualization edition.
- The module does not handle NULL data.
- Scale is global and all glyphs are scaled by the same value, rather than on individual glyph basis.
- No rotation or glyph orientation is performed.
- Output dimensioning is done at instance time rather than each time the module updates. This reduces malloc/free operations.
- If the input coord array is zero length, the output array is also cleared, rather than being left in a previous state.
- The module minimizes calls to the OM.
The module is written in C++, uses simple arrays for input/output. The algorithm is very simple and can be extended to perform different tasks.
The low-level FastGlyphMods library containing the module FastGlyph3DCore does not specify a process. By default the express process will be used.
Mark Lambert, Ian Curington Advanced Visual Systems, Inc. Andrew Dodd International AVS Centre


| vcovHC {sandwich} | R Documentation |
Heteroscedasticity-consistent estimation of the covariance matrix of the coefficient estimates in regression models.
vcovHC(x, ...) ## Default S3 method: vcovHC(x, type = c("HC3", "const", "HC", "HC0", "HC1", "HC2", "HC4", "HC4m", "HC5"), omega = NULL, sandwich = TRUE, ...) meatHC(x, type = , omega = NULL, ...)
x |
a fitted model object. |
type |
a character string specifying the estimation type. For details see below. |
omega |
a vector or a
function depending on the arguments |
sandwich |
logical. Should the sandwich estimator be computed?
If set to |
... |
arguments passed to |
The function meatHC
is the real work horse for estimating
the meat of HC sandwich estimators – the default vcovHC
method
is a wrapper calling
sandwich
and bread
. See Zeileis (2006) for
more implementation details. The theoretical background, exemplified
for the linear regression model, is described below and in Zeileis (2004).
Analogous formulas are employed for other types of models.
When type = "const"
constant variances are assumed and
and vcovHC
gives the usual estimate of the covariance matrix of
the coefficient estimates:
sigma^2 (X'X)^{-1}
All other methods do not assume constant variances and are suitable in case of
heteroscedasticity. "HC"
(or equivalently "HC0"
) gives White's
estimator, the other estimators are refinements of this. They are all of form
(X'X)^{-1} X' Omega X (X'X)^{-1}
and differ in the choice of Omega. This is in all cases a diagonal matrix whose
elements can be either supplied as a vector omega
or as a
a function omega
of the residuals, the diagonal elements of the hat matrix and
the residual degrees of freedom. For White's estimator
omega <- function(residuals, diaghat, df) residuals^2
Instead of specifying the diagonal omega
or a function for
estimating it, the type
argument can be used to specify the
HC0 to HC5 estimators. If omega
is used, type
is ignored.
Long \& Ervin (2000) conduct a simulation study of HC estimators (HC0 to HC3) in
the linear regression model, recommending to use HC3 which is thus the
default in vcovHC
. Cribari-Neto (2004), Cribari-Neto, Souza, \& Vasconcellos (2007),
and Cribari-Neto \& Da Silva (2011), respectively, suggest the HC4, HC5, and
modified HC4m type estimators. All of them are tailored to take into account
the effect of leverage points in the design matrix. For more details see the references.
A matrix containing the covariance matrix estimate.
Cribari-Neto F. (2004). “Asymptotic Inference under Heteroskedasticity of Unknown Form.” Computational Statistics & Data Analysis 45, 215–233.
Cribari-Neto F., Da Silva W.B. (2011). “A New Heteroskedasticity-Consistent Covariance Matrix Estimator for the Linear Regression Model.” Advances in Statistical Analysis, 95(2), 129–146.
Cribari-Neto F., Souza T.C., Vasconcellos, K.L.P. (2007). “Inference under Heteroskedasticity and Leveraged Data.” Communications in Statistics – Theory and Methods, 36, 1877–1888. Errata: 37, 3329–3330, 2008.
Long J. S., Ervin L. H. (2000). “Using Heteroscedasticity Consistent Standard Errors in the Linear Regression Model.” The American Statistician, 54, 217–224.
MacKinnon J. G., White H. (1985). “Some Heteroskedasticity-Consistent Covariance Matrix Estimators with Improved Finite Sample Properties.” Journal of Econometrics, 29, 305–325.
White H. (1980). “A Heteroskedasticity-Consistent Covariance Matrix and a Direct Test for Heteroskedasticity.” Econometrica 48, 817–838.
Zeileis A (2004). “Econometric Computing with HC and HAC Covariance Matrix Estimators.” Journal of Statistical Software, 11(10), 1–17. doi: 10.18637/jss.v011.i10
Zeileis A (2006). “Object-Oriented Computation of Sandwich Estimators.” Journal of Statistical Software, 16(9), 1–16. doi: 10.18637/jss.v016.i09
## generate linear regression relationship ## with homoscedastic variances x <- sin(1:100) y <- 1 + x + rnorm(100) ## model fit and HC3 covariance fm <- lm(y ~ x) vcovHC(fm) ## usual covariance matrix vcovHC(fm, type = "const") vcov(fm) sigma2 <- sum(residuals(lm(y ~ x))^2)/98 sigma2 * solve(crossprod(cbind(1, x)))


Hi.
To send data to emonCMS, I'm using the bulk mode, as defined in /emoncms/input/api:
/emoncms/input/bulk.json?data=[[0,10,250,100,20],[2,12,1437,3164],[10,10,252,80,21]]
This allows me to buffer a few samples and send them in one shot.
There is another sending format:
/emoncms/input/post.json?json={power:200}
but AFAIU it does not allow to send several samples from different time. Is this correct ?
Is there a format I could use to combine both advantages (multiple time samples and nice input name) ?
Re: emonCMS API : send bulk mode but with the possibility to add names like in json={power:200}
Hi,
I too need this functionality so that I may do something like:
/emoncms/input/bulk.json?data=[power:[0,10,250], pf:[10,10,2],power:[10,10,2]]
The wireless node ID is the only way current to differentiate between individual input data items, but this does not help if I want to use just a single wireless node [node 0] with many input items in it. Id like to bulk post to the individual input items such as power and pf within node 0.
Thanks in advance.
Re: emonCMS API : send bulk mode but with the possibility to add names like in json={power:200}
Bit of an old thread this but any chance this will ever be possible:
/emoncms/input/bulk.json?data=[power:[0,1,250], temp:[0,1,22],power:[60,1,300],temp:[60,1,23]]
I want to use bulk mode but need to also send names.
Thanks in advance
Re: emonCMS API : send bulk mode but with the possibility to add names like in json={power:200}
Would love that feature too!


---
layout: post
title: 12/17 schoolwork
date: '2013-12-17T22:01:00.004-07:00'
author: Jacob .
tags:
- homeschool-journal
modified_time: '2013-12-17T22:01:55.596-07:00'
blogger_id: tag:blogger.com,1999:blog-6400085873105072120.post-5502764870033627533
blogger_orig_url: http://www.svlark.com/2013/12/1217-schoolwork.html
---
Math: started activity 20.3
Copywork
Reading:
- ILBRA
- DKCIB -- Saul, David, Michal, Jonathan, Abigail
- Beauty and the Beast, p. 49


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