Table Of Contents
This plugin has been developed to offer a modern API for other developers to communicate with the VDR.
The plugin supports the following outputs formats: xml, json and html.
It also supports the folloing input formats: json and html.
It would not exist without the help of the following people:
- Klaus Schmidinger: Of course because of the VDR itself. Thank you also for the nice and clean layout for the API-Documentation which I "borrowed" from your PLUGINS.html.
- Gerald Dachs: Thank you for the intial idea and the initial jsonapi-Plugin.
- Volker Richert: Thank you for fixing the UTF8-Support.
- Tommi Mäkitalo: Thank you for implementing the Regex-Support in cxxtools which allows RESTful web services.
- Holger Schvestka: Thank you for improving the package structure.
- All other yaVDR-Members who I haven't already mentioned, just because you are who you are and do your best to improve the VDR experience.
- The developers of the live and vnsisserver Plugins which helper me to learn a lot about the API of VDR.
- The developers of the live plugin where I borrowed parts of the epgsearch-implementation :-)
- Daniel Kuschny: Thank you for fixing my broken regular expressions. Will pay you a beer! :-)
- Keine_Ahnung@vdr-portal for the VDR 1.6 compatibility patch
This document describes the API and how to use it. It contains a lot of examples for the different formats and services but there is still a lot more to discover if you simply try to make a few simple requests.
Someone who wants to install the plugin on his/her VDR needs following applications and libraries:
- VDR 1.7.18
- libcxxtools Rev. >= 1231, which is available as package for Ubuntu in the yavdr-PPA's
Someone who wants to develop an application which uses this API:
- XML or JSON Parser (Depends on which format you want to use! - You can also use the html-format, but that one is more a proof for the restful concept and does not show all information!)
- URL Decoder or JSON Serializer (to send data to the webservice, required f.e. to create timers, searchtimers usw...)
Create a new file called plugin.restfulapi.conf in /etc/vdr/plugins/ .
#
# Command line parameters for vdr-plugin-restfulapi
#
--port=8002
--ip=<IP_ADDRESS>
--epgimages=/var/cache/vdr/epgimages
--channellogos=/usr/share/vdr/channel-logos
This service returns a list of channels.
The Request:
Method: GET
Examples:
GET http://<ip>:<port>/channels/.<format>
GET http://<ip>:<port>/channels/<channelid>.<format>
GET http://<ip>:<port>/channels/.<format>?start=<int>&limit=<int>
Description of the Parameters:
- <format> - The requested format: json, xml or html.
- <channelid> - Id of the requested channel.
- start, limit - These values are used to control the whole list. Start ist the first element you want to retrieve. Limit...
Example Result:
GET http://<IP_ADDRESS>:8002/channels.xml?start=0&limit=1
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<channels xmlns="http://www.domain.org/restfulapi/2011/channels-xml">
<channel>
<param name="name"<ORF1 HD</param>
<param name="number">1</param>
<param name="channel_id">C-71-71-61920</param<
<param name="image">true</param>
<param name="group">hd</param>
<param name="transponder">330</param>
<param name="stream">C-71-71-61920.ts</param>
<param name="is_atsc">false</param>
<param name="is_cable">true</param>
<param name="is_sat">false</param>
<param name="is_terr">false</param>
</channel>
<count>1</count>
<total>259</total>
</channels>
GET http://<IP_ADDRESS>:8002/channels.json?start=0&limit=1
{ "channels": [
{
"name":"ORF1 HD",
"number":1,
"channel_id":"C-71-71-61920",
"image":true,
"group":"hd",
"transponder":330,
"stream":"C-71-71-61920.ts",
"is_atsc":false,
"is_cable":true,
"is_terr":false,
"is_sat":false
}],
"count":1,
"total":259
}
This service will return a list containing all channel groups.
The Request:
Method: GET
Examples:
GET http://<ip>:<port>/channels/groups
GET http://<ip>:<port>/channels/groups?start=<int>&limit=<int>
GET http://<ip>:<port>/channels.<format>?group=<group>
Description of the Parameters
- <group> - returns the channels of the requested group
Example Result:
GET http://<ip>:<port>/channels/groups?start=0&limit=3
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<groups xmlns="http://www.domain.org/restfulapi/2011/groups-xml">
<group>hd</group>
<group>main</group>
<group>stuff</group>
<count>3</count>
<total>3</total>
</groups>
GET http://<ip>:<port>/channels/groups?start=0&limit=3
{
"groups":
[
"hd",
"main",
"stuff"
],
"count":3,
"total":3
}
This service returns the requested channel-logo.
XML or JSON Parser (Depends on which format you want to use!)
URL Decoder
Method: GET
Examples:
GET http://<ip>:<port>/channels/image/<channelid>
This service returns the epg information.
Method: GET
Examples:
GET http://<ip>:<port>/events/<channelid>.<format>?timespan=<timespan>
GET http://<ip>:<port>/events/<channelid>/<eventid>.<format>
GET http://<ip>:<port>/events/<channelid>.<format>?timespan=<timespan>
GET http://<ip>:<port>/events/<channelid>.<format>?timespan=<timespan>&from=<from>&start=<int>&limit=<int>
Description of the Parameters:
- <format> - The requested format: json, xml or html.
- <channelid> - id of the channel
- <timespan> - the timespan from which you want to know the event-details, if set to 0 - all events in the future will be returned
- <from> - (optional) time in the future when the requested events should end/start (default-value: now)
- <eventid> - (optional) if you only want the details of a specific event
Example Result:
GET http://<ip>:<port>/events/C-1-1011-11110/3600.xml?start=0&limit=1
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<events xmlns="http://www.domain.org/restfulapi/2011/events-xml">
<event>
<param name="id">51514</param>
<param name="title">Eine Serie</param>
<param name="short_text">Der Episodentitel</param>
<param name="description">Die Beschreibung</param>
<param name="channel">C-1-1011-11110</param>
<param name="start_time">1308845100</param>
<param name="duration">3300</param>
<param name="images">1</param>
<param name="components">
<component stream="5" type="11" language="deu" description="H.264/AVC high definition Video, 16:9 aspect ratio," />
<component stream="2" type="3" language="deu" description="stereo deutsch" />
<component stream="2" type="3" language="eng" description="stereo englisch" />
<component stream="2" type="5" language="deu" description="Dolby Digital 2.0" />
</param>
<param name="timer_exists">true</param>
<param name="timer_active">true</param>
<param name="timer_id">C-71-71-61920:0:1315173600:2100:2300</param>
</event>
<count>1</count>
<total>236</total>
</events>
GET http://<ip>:<port>/events/C-1-1011-11110/3600.json?start=0&limit=1
{"events":[{
"id":51514,
"title":"Eine Serie",
"short_text":"Der Episodentitel",
"description":"Die Beschreibung",
"start_time":1308845100,
"duration":3300,
"images":3,
"count":1,
"timer_exists":true,
"timer_active":true,
"timer_id":"C-71-71-61920:0:1315173600:2100:2300",
"components":[
{"stream":5, "type":11, "language":"deu", "description":"H.264\/AVC high definition Video, 16:9 aspect ratio,"},
{"stream":2,"type":3,"language":"deu","description":"stereo deutsch"},
{"stream":2,"type":3,"language":"eng","description":"stereo englisch"},
{"stream":2,"type":5,"language":"deu","description":"Dolby Digital 2.0"}],
"total":236}
This service returns the requested epg image.
Method: GET
Examples:
GET http://<ip>:<port>/events/image/<eventid>/<imagenumber>
Description of the Parameters:
- <eventid> - Id of the event
- <imagenumber> - the number of the image, in the above mentioned examples it would be 0,1 or 2
This service allows you to search for events.
The Request:
Method: POST
Example URL:
POST http://<ip>:<port>/events/search.<format>?limit=5&start=0;
HTTP-Body-Parameters:
- query - (required)
- mode - (required) 0=phrase, 1=and, 2=or, 3=regex
- channelid - (optional) if id invalid, the plugin will search on every channel
- use_title - (optional, default) search in the title
- use_subtitle - (optional)
- use_description - (optional)
Example:
{"query":"Asterix", "mode":0, "channelid":0,"use_title":true}
General Information about the plugin and vdr.
Examples:
GET http://<ip>:<port>/info.<format>
Example Results:
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<info xmlns="http://www.domain.org/restfulapi/2011/info-xml">
<version>0.0.1</version>
<time>1311710291</time>
<services>
<service path="/info" version="1" internal="true" />
<service path="/channels" version="1" internal="true" />
<service path="/channels/groups" version="1" internal="true" />
<service path="/channels/image" version="1" internal="true" />
<service path="/events" version="1" internal="true" />
<service path="/events/image" version="1" internal="true" />
<service path="/events/search" version="1" internal="false" />
<service path="/recordings" version="1" internal="true" />
<service path="/remote" version="1" internal="true" />
<service path="/timers" version="1" internal="true" />
<service path="/osd" version="1" internal="true" />
<service path="/searchtimers" version="1" internal="false" />
</services>
<channel>C-71-71-61920</channel>
<vdr>
<plugins>
<plugin name="restfulapi" version="0.0.1" />
<plugin name="shutdown" version="0.0.2" />
<plugin name="vnsiserver" version="0.9.0" />
<plugin name="live" version="0.2.0" />
<plugin name="epgsearchonly" version="0.0.1" />
<plugin name="svdrposd" version="0.1.0" />
<plugin name="xineliboutput" version="1.0.90-cvs" />
<plugin name="streamdev-server" version="0.5.1-git" />
<plugin name="epgsearch" version="0.9.25.beta22" />
<plugin name="quickepgsearch" version="0.0.1" />
<plugin name="text2skin" version="1.3.1" />
<plugin name="conflictcheckonly" version="0.0.1" />
</plugins>
</vdr>
</info>
Instead of the channel it can also contain the currently playing video file:
<video name="Asterix in Amerika">/var/lib/video.00/Asterix_in_Amerika/2011-06-<IP_ADDRESS>-0.rec</video>
OSD
Examples:
GET http://<ip>:<port>/osd.<format>
Example Results:
{"TextOsd":{"type":"TextOsd","title":"VDR - Disk 68% - 57:53 free","message":"","red":"","green":"Audio","yellow":"","blue":"Stop","items":[{"content":" 1 Schedule","is_selected":true},{"content":" 2 Channels","is_selected":false},{"content":" 3 Timers","is_selected":false},{"content":" 4 Recordings","is_selected":false},{"content":" 5 Search","is_selected":false},{"content":" 6 Media Player","is_selected":false},{"content":" 7 Program guide","is_selected":false},{"content":" 8 Quick search","is_selected":false},{"content":" 9 Timer conflicts","is_selected":false},{"content":" 10 Setup","is_selected":false},{"content":" 11 Commands","is_selected":false},{"content":" Stop replaying","is_selected":false}]}}
{"ProgrammeOsd":{"present_time":1311710264,"present_title":"Der letzte Bulle","present_subtitle":"Ich hab sie alle gehabt","following_time":1311713161,"following_title":"direkt - das magazin","following_subtitle":""}}
This service can delete recordings and can also return all the recordings as a list.
The Request:
Method: GET, DELETE
Examples:
GET http://<ip>:<port>/recordings/.<format>
GET http://<ip>:<port>/recordings/<recordingnumber>.<format>?marks=true
DELETE http://<ip>:<port>/recordings/<number>
Description of the Parameters:
- <format> - The requested format: json, xml or html.
- <number> - The number of the recording which you want to delete. (The first recordings has the number 0.)
- <recordingnumber> - The number of the recording you want to retrieve.
- marks=true - add the cutting marks by reading the marks file from the recording directory
- start, limit - These values are used to control the whole list. Start ist the first element you want to retrieve. Limit...
Example Result:
GET http://<IP_ADDRESS>:8002/recordings.xml?start=0&limit=1
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<recordings xmlns="http://www.domain.org/restfulapi/2011/recordings-xml">
<recording>
<param name="number">0</param>
<param name="name">Asterix in Amerika</param>
<param name="filename">/var/lib/video.00/Asterix_in_Amerika/2011-06-<IP_ADDRESS>-0.rec</param>
<param name="is_new">false</param>
<param name="is_edited">false</param>
<param name="is_pes_recording">false</param>
<param name="duration">-1</param>
<param name="frames_per_second">50</param>
<param name="marks"><0:03:17.10><1:43:07.24></param>
<param name="event_title">Asterix in Amerika</param>
<param name="event_short_text"></param>
<param name="event_description">(Zeichentrickfilm, DEU 1994)</param>
<param name="event_start_time">1308480705</param>
<param name="event_duration">4611</param>
</recording>
<count>2</count><total>2</total>
</recordings>
GET http://<IP_ADDRESS>:8002/recordings.json?start=0&limit=1i&marks=true
{"recordings":[{
"number":0,
"name":"Asterix in Amerika",
"file_name":"\/var\/lib\/video.00\/Asterix_in_Amerika\/2011-06-<IP_ADDRESS>-0.rec",
"is_new":false,
"is_edited":false,
"is_pes_recording":false,
"duration":-1,
"frames_per_second":50,
"marks":["0:03:17.10", "1:43:07.24"],
"event_title":"Asterix in Amerika",
"event_short_text":"",
"event_description":"(Zeichentrickfilm, DEU 1994)",
"event_start_time":1308480705,
"event_duration":4611
}],"count":1,"total":2}
This service tells your VDR to cut a recording or can tell the client if the vdr cutter is currently cutting a recording:
Method: GET, POST
Examples:
POST http://<ip>:<port>/recordings/cut/<recordingnumber> # do it! (cut the recording)
GET http://<ip>:<port>/recordings/cut.<format> # this will return the status of the VDR Cutter
This service can save and delete marks. To retrieve them use the parameter "marks=true" in the request url for the recordings.
Delete Cutting Marks:
Method: DELETE
Examples:
DELETE http://<ip>:<port>/recordings/marks/<recordingnumber>
Create new Cutting Marks:
Method: POST
Examples:
POST http://<ip>:<port>/recordings/marks/<recordingnumber>
Example Body-Content (required, Only JSON supported):
{'marks':['0:02:18.10','0:34:08.24']}
This service retrieves remote commands and sends them to VDR:
Method: POST
Syntax:
POST http://<ip>:<port>/remote/<key>
POST http://<ip>:<port>/remote/switch/<channelid>
The parameter <key> can be set to the following remote control commands:
Up, Down, Menu, Ok, Back, Left, Right, Red, Green, Yellow, Blue, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, Info, Play, Pause, Stop, Record, FastFwd, FastRew, Next, Prev, Power, ChanUp, ChanDn, ChanPrev, VolUp, VolDn, Mute, Audio, Subtitles, Schedule, Channels, Timers, Recordings, Setup, Commands, User0, User1, User2, User3, User4, User5, User6, User7, User8, User9, None, Kbd
The second address allows to directly switch to a specific channel.
This service returns a list of timers.
The Request:
Method: GET, DELETE
Examples:
GET http://<ip>:<port>/timers.<format>
GET http://<ip>:<port>/timers/<timerid>.<format>
GET http://<ip>:<port>/timers.<format>?start=<int>&limit=<int>
DELETE http://<ip>:<port>/timers/<timerid>
Description of the Parameters:
- <format> - The requested format: json, xml or html.
- <timerid> - Id of the timer if you want to delete one.
- start, limit - These values are used to control the whole list. Start ist the first element you want to retrieve. Limit...
Example Result:
GET http://<IP_ADDRESS>:8002/timers.xml?start=0&limit=1
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<timers xmlns="http://www.domain.org/restfulapi/2011/timers-xml">
<timer>
<param name="id">C-71-71-61920:0:1309039200:2013:2200</param>
<param name="start">2013</param>
<param name="stop">2200</param>
<param name="start_timestamp">2011-12-24 19:00:00</param>
<param name="stop_timestamp">2011-12-24 20:00:00</param>
<param name="priority">50</param>
<param name="lifetime">99</param>
<param name="event_id">27312</param>
<param name="weekdays">-------</param>
<param name="day">2011-06-26</param>
<param name="channel">C-71-71-61920</param>
<param name="is_recording">false</param>
<param name="is_pending">false>/param>
<param name="filename">Mad Money>/param>
<param name="channel_name">ORF1 HD>/param>
<param name="is_active">true>/param>
</timer>
<count>1</count><total>2</total>
</timers>
GET http://<IP_ADDRESS>:8002/timers.json?start=0&limit=1
This service can create new timers.
Method: POST
Example:
POST http:/<ip>:<ip>/timers
Required Body Parameters:
- flags - set it to 1 for an active timer
- file - name of the recording (use an url-encoder for this text if you special characters)
- stop - the time when the recording should be start - in the 24 hour system, f.e. 2015 means quarter past ten in the evening
- start - the time when the recording sholud be stoped, f.e. 2230 (half past ten in the evening)
- day - YYYY-MM-DD, f.e. 2011-12-24 -> christmas :-)
- channel - ID of the channel
- weekdays - MTWTFSS, used for repeating timers -> just use '-' if you don't want the timer to run on the specific day
- minpre, minpost can be used together with a channel and eventid to create a timer without giving the other information to the api
Example Request (including HTTP-Header):
POST /timers HTTP/1.1
Content-Length: 98
Connection: close
file=Ein%20Film&flags=1&start=1400&stop=1615&day=2011-12-24&channel=C-71-71-61920&weekdays=-------
Example Response (including HTTP-Header):
HTTP/1.1 200 OK
Content-Length: 0
Server: cxxtools-Http-Server 2.0
Connection: close
Date: Sun, 26 Jun 2011 19:03:48 GMT
This service can update the previously created timers.
Method: PUT
Example:
PUT http://<ip>:<port>/timers
Required Body Parameters:
- timer_id - the id of the timer
Optional Body Parameters are the ones you use to create the timer and now want to update.
Example Request (including HTTP-Header):
PUT /timers HTTP/1.1
Content-Length: 81
Connection: close
timer_id=C-71-71-61920:0:1324681200:1400:1615&start=2015&stop=2230
Example Response (including HTTP-Header):
HTTP/1.1 200 OK
Content-Length: 0
Server: cxxtools-Http-Server 2.0
Connection: close
Date: Sun, 26 Jun 2011 19:20:03 GMT
POST http://<ip>:<port>/searchtimers
Possible parameters:
- search - (required)
- mode - (required) 0=phrase, 1=all words, 2=at least one word, 3=match exactly, 4=regex, 5=fuzzy
- tolerance - used in fuzzy mode
- match_case - 0=false, 1=true
- use_time
- start_time
- stop_time
- use_title
- use_subtitle
- use_channel - 0=no, 1=interval, 2=channel group, 3=only FTA
- channel_min - id of the minimal channel (channelid)
- channel_max - id of the maximum channel (channelid)
- channels - f.e. All
- use_as_searchtimer - 0=no, 1=yes, 2=user defined
- use_duration - 0=false, 1=true
- duration_min
- duration_max
- use_dayofweek - 0=false, 1=true
- dayofweek - 7bits to represent the seven weekdays
- use_in_favorites
- directory
- del_recs_after_days
- keep_recs
- pause_on_recs
- blacklist_mode - always 0, blacklist currently not supported
- switch_min_before
- avoid_repeats
- allowed_repeats
- repeats_within_days
- compare_title - 0=false, 1=true
- compare_subtitle
- compare_summary
- compare_categories
DELETE http://<ip>:<port>/searchtimers/<id>
GET http://<ip>:<port>/searchtimers.<format>
GET http://<ip>:<port>/searchtimers/search/<id>


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I started My Journey of Photoshop Back With one of My Friend Photo in 2010 an the first thing I did was use Lasso tool (in Photoshop), Quite typical and I was Complete Noob at that time and this is from where I started to do better, from than to now I have use many tools Like Adobe Photoshop, Adobe Illustrator, Adobe After Effect, Adobe Premiere Pro, Maxon Cinema 4D and I did all my Work on Design work on Core2Duo 2.7 Ghz System Equipped with only 2 GB RAM and 160 GB Hdd till 2015. This PC wasn't capable enough to handle 600 DPI preview so I have to restart My Pc Every time before Exporting File, and this is how my life Started and yes I m Big COFFEE FAN since 17 jul 2017.
Graphic Designer
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An Ecological Civics Lesson from Permaculture, Part 1
by Matt
Recently, I've become interested in permaculture, both as a method of sustainable farming/gardening, and to the extent that it embodies a practicable philosophy. I'm particularly interested in the bottom-up, DIY ethos that I've seen proliferating as a motif among the permaculture/homesteading/eco-anarchist/sustainability communities. The grassroots approach seems like the only way to build a sustainable society: To start at the individual level and figure out how to live as simply as possible while keeping commercial interactions small and local and sustainable, and cutting the big corporations out entirely. This is pretty much the opposite of everything that we, as typical American citizens (consumers), have been conditioned to think since birth.
I've been reading David Holmgren's excellent "Permaculture: Principles and Pathways Beyond Sustainability." In the book, Holmgren--one of the co-founders of the permaculture concept--lays out the 12 main tenets of permaculture as he envisions it. Today, as I was reading Principle Eight, ("Integrate Rather than Segregate"), I was particularly taken with this passage: "The role of the nation state in providing captive markets and subsidies for the continued growth of the corporations give the impression that these relatively recent and short-lived commercial entities are invincible organisms...Although this new global ecosystem is clearly born from human organisation and culture, a strong case can be made that it is anti-people, anti-nature and set on a course of self destruction." The message is nothing new, but his likening global corporations to organisms in an ecosystem is pretty interesting and resonated with me on several levels.
One of the recurring thought patterns I have is dismay and incredulity at how millions of people take the daily arrangements of modern American life for granted; indeed, how people strive and usually fail to meet the illusory and completely arbitrary societal goals that are part of the American identity: to own your own home, be a success, start a family, etc. And more distressingly, how these millions seem to downplay or completely ignore the real harm that buying into this bogus and destructive set of beliefs is doing to themselves and everything else on the planet.
 Why do millions of people mortgage their future freedom and time on enormous houses with more space than they will ever need or use, many miles from where they work--only to spend almost as much time commuting between home and job as they do on the job, at the expense of their families, their health and their happiness? Because this is the American Dream, the "non-negotiable" American lifestyle that is the highest civic virtue and at the same time, the natural order of things.
But I don't think people "choose" these things in the real sense of that word. Rather, I think they are conditioned to believe that their behaviors and affinities are "natural," virtuous and inevitable. When it is easier, more comfortable, and more appealing to get in a car and go shopping in your spare time (and when you believe that you have to continuously buy "stuff" to be worthy of your peers), than it is to spend the same amount of time out in nature, enjoying some time away from a noisy and acquisitive culture, then culture will win out over nature every time. The default behavior then is to choose culture. By culture I don't mean museums or the theater or whatever else, I mean consumer culture; by nature, I don't mean wilderness, but any kind of outdoor experience where technology, money, ownership, and the built environment don't predominate.
Hence, filling a niche in the consumer ecosystem is the primal impulse that several generations of affluent Westerners have been conditioned to believe is natural behavior. As sprawl increases and genuine natural environments become less and less accessible, it's difficult to imagine how people with little or no access to the natural world, or desire to spend time there, can conceive of any alternative to the completely non-natural world they spend their entire lives in, let alone advocate for conservation and protection of a natural world that they know only through television. This entirely disconnected culture encourages its inhabitants to think no further than the supermarket when they consider their "food" sources; to think no further than the gas station or the electric outlet when they consider their energy and lifestyle choices; to think no further than the ever present now when acting on an impulse or gratifying a desire.
There is a vague popular consensus that this American lifestyle is rooted in our national identity, protected and encouraged by the constitution, Declaration of Independence, and other seminal ideas put forth by the founders of the nation. I will argue in postings to follow, however, that the "American Dream" as it is understood lately, goes back no further than 1945, and really only took shape in the last decades of the 20th Century.
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Getting started
In this section we will quickly go over everything needed to create a simple circuit and simulate it.
Installation
The easiest way to install the NuGet package here:
You can also clone the repository directly. However, while you get the latest features and bug fixes, the documentation might not be up to date!
AppVeyor CI (Windows) build status:
Travis CI (Linux/Mono) build status:
Building the circuit
Let's start with a very simple circuit called a resistive voltage divider. The schematic looks as follows.
The output voltage of this circuit is 2/3 times the input voltage.
Creating this circuit is done using the Circuit-class. This is a container of multiple entities, such as voltage sources and resistors. The Circuit-class is defined in the namespace SpiceSharp, while all default components are in the namespace SpiceSharp.Components.
// Build the circuit
var ckt = new Circuit(
new VoltageSource("V1", "in", "0", 1.0),
new Resistor("R1", "in", "out", 1.0e4),
new Resistor("R2", "out", "0", 2.0e4)
);
Running a DC analysis
A DC simulation will (by default) sweep a voltage or current source value. The result is a DC transfer curve in function of the swept parameter.
We will sweep the input voltage source from -1V to 1V in steps of 200mV.
// Create a DC simulation that sweeps V1 from -1V to 1V in steps of 100mV
var dc = new DC("DC 1", "V1", -1.0, 1.0, 0.2);
// Catch exported data
dc.ExportSimulationData += (sender, args) =>
{
var input = args.GetVoltage("in");
var output = args.GetVoltage("out");
};
dc.Run(ckt);
The output will yield as expected:
-1 V : -0.667 V
-0.8 V : -0.533 V
-0.6 V : -0.4 V
-0.4 V : -0.267 V
-0.2 V : -0.133 V
0 V : 0 V
0.2 V : 0.133 V
0.4 V : 0.267 V
0.6 V : 0.4 V
0.8 V : 0.533 V
1 V : 0.667 V
Using exports
Using Export
// Create a DC simulation that sweeps V1 from -1V to 1V in steps of 100mV
var dc = new DC("DC 1", "V1", -1.0, 1.0, 0.2);
// Create exports
Export<double> inputExport = new RealVoltageExport(dc, "in");
Export<double> outputExport = new RealVoltageExport(dc, "out");
Export<double> currentExport = new RealPropertyExport(dc, "V1", "i");
// Catch exported data
dc.ExportSimulationData += (sender, args) =>
{
var input = inputExport.Value;
var output = outputExport.Value;
var current = currentExport.Value;
};
dc.Run(ckt);
Yielding the output:
-1 V : -0.667 V. 3.33E-05 A
-0.8 V : -0.533 V. 2.67E-05 A
-0.6 V : -0.4 V. 2E-05 A
-0.4 V : -0.267 V. 1.33E-05 A
-0.2 V : -0.133 V. 6.67E-06 A
0 V : 0 V. 0 A
0.2 V : 0.133 V. -6.67E-06 A
0.4 V : 0.267 V. -1.33E-05 A
0.6 V : 0.4 V. -2E-05 A
0.8 V : 0.533 V. -2.67E-05 A
1 V : 0.667 V. -3.33E-05 A


$C146/49478: Interpret command from computer Jump from $EBFC: C146: A9 00 LDA #$00 C148: 8D F9 02 STA $02F9 C14B: AD 8E 02 LDA $028E ; last drive number C14E: 85 7F STA $7F ; drive number C150: 20 BC E6 JSR $E6BC ; prepare 'ok' message C153: A5 84 LDA $84 ; secondary address C155: 10 09 BPL $C160 C157: 29 0F AND #$0F C159: C9 0F CMP #$0F ; 15, command channel C15B: F0 03 BEQ $C160 ; yes C15D: 4C B4 D7 JMP $D7B4 ; to OPEN command Jump from $C155, $C15B: C160: 20 B3 C2 JSR $C2B3 ; determine line length and erase flags C163: B1 A3 LDA ($A3),Y ; get first character C165: 8D 75 02 STA $0275 ; and store C168: A2 0B LDX #$0B ; 11 Jump from $C173: C16A: BD 89 FE LDA $FE89,X ; commands C16D: CD 75 02 CMP $0275 ; compare to first character C170: F0 08 BEQ $C17A ; found? C172: CA DEX C173: 10 F5 BPL $C16A C175: A9 31 LDA #$31 ; not found C177: 4C C8 C1 JMP $C1C8 ; 31, 'syntax error' Jump from $C170: C17A: 8E 2A 02 STX $022A ; number of command words C17D: E0 09 CPX #$09 C17F: 90 03 BCC $C184 ; command number < 9? C181: 20 EE C1 JSR $C1EE ; test for 'R', 'S', and 'N' Jump from $C17F: C184: AE 2A 02 LDX $022A ; command number C187: BD 95 FE LDA $FE95,X ; jump address lo C18A: 85 6F STA $6F C18C: BD A1 FE LDA $FEA1,X ; jump address hi C18F: 85 70 STA $70 C191: 6C 6F 00 JMP ($006F) ; jump to command Previous Page / Next Page


This static webpage takes values from clicks on the Roulette chart
and checks for the common pattern among the 3 properties:
1) Color - Red / Black
2) Number type - Even / Odd
3) Size - High / Low
Determining the property of a number is based on the classic roulette rules.
The bottom 3 boxes (div elements) display all the cosecutive numbers with common properties between them (if any) with color, type & size as basis for each box respectively.
Patterns reset whenever no common proprties are found or the webpage is reloaded.
Return to Main Pageby
Jayanth Varma


In search of the real shebeen
A chara, – Having read Frank McNally’s excellent article on shebeens (An Irishman’s Diary, November 20th) I wondered about the origin of the word and consulted my favourite “go to” source of wisdom on the Irish language, Dinneen’s Dictionary.
Having been referred from “síbín” to “séibín”, I was informed as follows: “a little mug; a shebeen which was a measure of varying quantity, 2 to 3 quarts, used at Limerick for grain tolls, it also meant the toll thus taken (See Irish Commons Journal, 1761-1764, vol.VII, Report of Committee, 1761 . . .) whence the word shebeen (sheebeen) and “shebeen house”; fig. ale, esp. bad ale; “shebeen properly means weak small-beer, taplash.” (Note to 1848 Ed. of Maria Edgeworth’s Castle Rackrent). The New OED gave the following explanation: “(especially in Ireland, Scotland and South Africa) an unlicensed establishment or private house selling alcoholic liquor and typically regarded as slightly disreputable . . . origin late 18th cent.; from Anglo-Irish síbín, from séibe, ‘mugful’.” Neither source mentioned the shebeen queen. – Yours, etc,
PÁDRAIGÍN RIGGS,
Bishopstown, Cork.


#include <objects.h>
Inheritance diagram for TSortedCollection::
Public Methods | |
| TSortedCollection (ccIndex aLimit, ccIndex aDelta) | |
Static Public Attributes | |
| const char* const | name |
Protected Methods | |
| TSortedCollection (StreamableInit) | |
| virtual void* | read (ipstream &is) |
| virtual void | write (opstream &os) |
No instances of TSortedCollection are allowed. It exists solely as a base for other standard or user-defined derived classes.
Definition at line 449 of file objects.h.
|
|
Invokes the TCollection constructor to set count and items data members to 0; calls setLimit(aLimit) to set the collection limit to `aLimit', then sets delta to `aDelta'. Note that ccIndex is a typedef of int. duplicates is set to False. If you want to allow duplicate keys, you must set duplicates True. |
|
|
Each streamable class needs a "builder" to allocate the correct memory for its objects together with the initialized vtable pointers. This is achieved by calling this constructor with an argument of type StreamableInit. |
|
|
Reads a sorted collection from the input stream `is'. Reimplemented from TCollection. |
|
|
Writes the associated TSortedCollection object to the output stream `os'. Reimplemented from TCollection. |
|
|
Undocumented. Reimplemented from TCollection. Reimplemented in TStringCollection, TResourceCollection, and TFileCollection. |


Elements Culmyca'17
Himani Kansal
Edit the fields you want to update and press the submit button.
To cancel the changes, press the cancel button.


Classes | |
| class | cv::ml::ANN_MLP |
| Artificial Neural Networks - Multi-Layer Perceptrons. More... | |
| class | cv::ml::Boost |
| Boosted tree classifier derived from DTrees. More... | |
| class | cv::ml::DTrees |
| The class represents a single decision tree or a collection of decision trees. More... | |
| class | cv::ml::EM |
| The class implements the Expectation Maximization algorithm. More... | |
| class | cv::ml::KNearest |
| The class implements K-Nearest Neighbors model. More... | |
| class | cv::ml::LogisticRegression |
| Implements Logistic Regression classifier. More... | |
| class | cv::ml::NormalBayesClassifier |
| Bayes classifier for normally distributed data. More... | |
| class | cv::ml::ParamGrid |
| The structure represents the logarithmic grid range of statmodel parameters. More... | |
| class | cv::ml::RTrees |
| The class implements the random forest predictor. More... | |
| struct | cv::ml::SimulatedAnnealingSolverSystem |
| This class declares example interface for system state used in simulated annealing optimization algorithm. More... | |
| class | cv::ml::StatModel |
| Base class for statistical models in OpenCV ML. More... | |
| class | cv::ml::SVM |
| Support Vector Machines. More... | |
| class | cv::ml::SVMSGD |
| Stochastic Gradient Descent SVM classifier. More... | |
| class | cv::ml::TrainData |
| Class encapsulating training data. More... | |
Typedefs | |
| typedef ANN_MLP | cv::ml::ANN_MLP_ANNEAL |
Enumerations | |
| enum | cv::ml::ErrorTypes { cv::ml::TEST_ERROR = 0, cv::ml::TRAIN_ERROR = 1 } |
| Error types More... | |
| enum | cv::ml::SampleTypes { cv::ml::ROW_SAMPLE = 0, cv::ml::COL_SAMPLE = 1 } |
| Sample types. More... | |
| enum | cv::ml::VariableTypes { cv::ml::VAR_NUMERICAL =0, cv::ml::VAR_ORDERED =0, cv::ml::VAR_CATEGORICAL =1 } |
| Variable types. More... | |
Functions | |
| void | cv::ml::createConcentricSpheresTestSet (int nsamples, int nfeatures, int nclasses, OutputArray samples, OutputArray responses) |
| Creates test set. More... | |
| void | cv::ml::randMVNormal (InputArray mean, InputArray cov, int nsamples, OutputArray samples) |
| Generates sample from multivariate normal distribution. More... | |
| template<class SimulatedAnnealingSolverSystem > | |
| int | cv::ml::simulatedAnnealingSolver (SimulatedAnnealingSolverSystem &solverSystem, double initialTemperature, double finalTemperature, double coolingRatio, size_t iterationsPerStep, double *lastTemperature=NULL, cv::RNG &rngEnergy=cv::theRNG()) |
| The class implements simulated annealing for optimization. More... | |
Detailed Description
The Machine Learning Library (MLL) is a set of classes and functions for statistical classification, regression, and clustering of data.
Most of the classification and regression algorithms are implemented as C++ classes. As the algorithms have different sets of features (like an ability to handle missing measurements or categorical input variables), there is a little common ground between the classes. This common ground is defined by the class cv::ml::StatModel that all the other ML classes are derived from.
See detailed overview here: Machine Learning Overview.
Typedef Documentation
◆ ANN_MLP_ANNEAL
| typedef ANN_MLP cv::ml::ANN_MLP_ANNEAL |
#include <opencv2/ml.hpp>
Enumeration Type Documentation
◆ ErrorTypes
| enum cv::ml::ErrorTypes |
◆ SampleTypes
| enum cv::ml::SampleTypes |
#include <opencv2/ml.hpp>
Sample types.
| Enumerator | |
|---|---|
| ROW_SAMPLE | each training sample is a row of samples |
| COL_SAMPLE | each training sample occupies a column of samples |
◆ VariableTypes
#include <opencv2/ml.hpp>
Variable types.
| Enumerator | |
|---|---|
| VAR_NUMERICAL | same as VAR_ORDERED |
| VAR_ORDERED | ordered variables |
| VAR_CATEGORICAL | categorical variables |
Function Documentation
◆ createConcentricSpheresTestSet()
| void cv::ml::createConcentricSpheresTestSet | ( | int | nsamples, |
| int | nfeatures, | ||
| int | nclasses, | ||
| OutputArray | samples, | ||
| OutputArray | responses | ||
| ) |
#include <opencv2/ml.hpp>
Creates test set.
◆ randMVNormal()
| void cv::ml::randMVNormal | ( | InputArray | mean, |
| InputArray | cov, | ||
| int | nsamples, | ||
| OutputArray | samples | ||
| ) |
#include <opencv2/ml.hpp>
Generates sample from multivariate normal distribution.
- Parameters
-
mean an average row vector cov symmetric covariation matrix nsamples returned samples count samples returned samples array
◆ simulatedAnnealingSolver()
| int cv::ml::simulatedAnnealingSolver | ( | SimulatedAnnealingSolverSystem & | solverSystem, |
| double | initialTemperature, | ||
| double | finalTemperature, | ||
| double | coolingRatio, | ||
| size_t | iterationsPerStep, | ||
| double * | lastTemperature = NULL , |
||
| cv::RNG & | rngEnergy = cv::theRNG() |
||
| ) |
#include <opencv2/ml.hpp>
The class implements simulated annealing for optimization.
[48] for details
- Parameters
-
solverSystem optimization system (see SimulatedAnnealingSolverSystem) initialTemperature initial temperature finalTemperature final temperature coolingRatio temperature step multiplies iterationsPerStep number of iterations per temperature changing step lastTemperature optional output for last used temperature rngEnergy specify custom random numbers generator (cv::theRNG() by default)


As a data analyst, you are on a journey. Think about all the data that is being generated each day and that is available in an organization, from transactional data in a traditional database, telemetry data from services that you use, to signals that you get from different areas like social media.
For example, today's retail businesses collect and store massive amounts of data that track the items you browsed and purchased, the pages you've visited on their site, the aisles you purchase products from, your spending habits, and much more.
With data and information as the most strategic asset of a business, the underlying challenge that organizations have today is understanding and using their data to positively effect change within the business. Businesses continue to struggle to use their data in a meaningful and productive way, which impacts their ability to act.
A retail business should be able to use their vast amounts of data and information in such a way that impacts the business, including:
Additionally, you might be looking for daily/monthly sale patterns. Common data segments that you might want to examine include day-over-day, week-over-week, and month-over-month so that you can compare how sales have been to where they were in the same week last year, for example.
The key to unlocking this data is being able to tell a story with it. In today's highly competitive and fast-paced business world, crafting reports that tell that story is what helps business leaders take action on the data. Business decision makers depend on an accurate story to drive better business decisions. The faster a business can make precise decisions, the more competitive they will be and the better advantage they will have. Without the story, it is difficult to understand what the data is trying to tell you.
However, having data alone is not enough. You need to be able to act on the data to effect change within the business. That action could involve reallocating resources within the business to accommodate a need, or it could be identifying a failing campaign and knowing when to change course. These situations are where telling a story with your data is important.
The underlying challenge that businesses face today is understanding and using their data in such a way that impacts their business and ultimately their bottom line. You need to be able to look at the data and facilitate trusted business decisions. Then, you need the ability to look at metrics and clearly understand the meaning behind those metrics.
This requirement might seem daunting, but it's a task that you can accomplish. Your first step is to partner with data experts within your organization, such as data engineers and data scientists, to help get the data that you need to tell that story. Ask these experts to participate in that data journey with you.
Your journey of telling a story with data also ties into building that data culture within your organization. While telling the story is important, where that story is told is also crucial, ensuring that the story is told to the right people. Also, make sure that people can discover the story, that they know where to find it, and that it is part of the regular interactions.
Data analysis exists to help overcome these challenges and pain points, ultimately assisting businesses in finding insights and uncovering hidden value in troves of data through storytelling. As you read on, you will learn how to use and apply analytical skills to go beyond a single report and help impact and influence your organization by telling stories with data and driving that data culture.


Firefly algorithm The firefly algorithm (FA) is a nature-inspired optimization method [7], which maintains a population of fireflies to find the global optimum of an optimization problem. In FA, the distance between any two fireflies and at and , respectively, can be defined as the Euclidean distance , which is formulated as follows,
(1) where is the dimension of an optimization problem. Indeed, the larger the distance is, the less light the fireflies can see from each other. Accordingly, it is necessary to define monotonically decreasing functions for light intensity and attractiveness, respectively. They are presented in Eqs. (2) and (3).
(2) where is initial light intensity, and is the light absorption coefficient, which controls the decrease of light intensity. Accordingly, the attractiveness of a firefly is defined as shown in Eq. (3).
(3) where is a constant, which is the attractiveness at . The step of a firefly is attracted to move to another more attractive (brighter) firefly is determined by
(4) where is a constant vector and is the time step, is drawn from a normal distribution . is the step size of the th firefly moving. The first term is the attraction from the th firefly, while the second term is randomization controlled by , which is a constant in the range of . Therefore, the update of the th firefly is formulated as follows,
(5) The Eqs. (4) and (5) show that the th firefly will move towards the th firefly, which is a more attractive one.


Welcome to Gumshoe
Close
Clues
Gumshoe is not looking for clues. Run "node gumshoe" to begin.
"There is nothing like first-hand evidence."
-- Sherlock Holmes


WITNESS LIST Finance Committee (Subcommittee on Hearing w/Hse. Appropriations on Drought) February 1, 2000-1:00P INVITED TESTIMONY On: Bomar, George (Texs Natural Resources Conservation Commission), Austin Butler, Dr. Jim (Texas A&M Extension Service), College Station Combs, Susan (Texas Department of Agriculture), Austin Fehlis, Dr. Chester (Texas A&M Extension Service), College Station Hull, James B. (Texas Forest Service), College Station Huston, Bob (Texas Natural Resources Conservation Commission), Austin Leo, Patty (Office of the Comproller), Austin Matjeka, Shirley (National Weather Service), San Angelo Millwee, Tom (Department of Public Safety/Department of Emergency Management), Austin Oswald, Johnny (Texas State Soil and Water Conservation Board), San Angelo Pederson, Craig (Texas Water Development Board), Austin Saitas, Jeff (Texas Natural Resources Conservation Commission), Austin Sansom, Andy (Texas Parks and Wildlife Department), Austin PUBLIC TESTIMONY On: Edmondson, Ed (Texas Nursery and Landscape Association), Austin Ellis, Greg (Edwards Aquifer Auhority), San Antonio Pringle, Steve (Texas Farm Bureau), Waco Small, Ed (Texas and Southwestern Cattle Raisers), Austin Thuss, Michael (San Antonio Water System), San Antonio Williams, Tony (Texas Cotton Ginners' Association), Austin


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search_exclude: true
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This site hosts notebooks corresponding to the book Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow, 2nd edition
These notebooks were sourced from ageron/handson-ml2, with express permission of the author.
This site was built with fastpages, An easy to use blogging platform, with enhanced support for Jupyter Notebooks.
Prerequisites
To understand
- Python – you don't need to be an expert python programmer, but you do need to know the basics. If you don't, the official Python tutorial is a good place to start.
- Scientific Python – We will be using a few popular python libraries, in particular NumPy, matplotlib and pandas. If you are not familiar with these libraries, you should probably start by going through the tutorials in the Tools section (especially NumPy).
- Math – We will also use some notions of Linear Algebra, Calculus, Statistics and Probability theory. You should be able to follow along if you learned these in the past as it won't be very advanced, but if you don't know about these topics or you need a refresher then go through the appropriate introduction in the Math section.
To run the examples
- Jupyter – These notebooks are based on Jupyter. You can run these notebooks in just one click using a hosted platform such as Binder, Deepnote or Colaboratory (no installation required), or you can just view them using Jupyter.org's viewer, or you can install everything on your machine, as you prefer. Check out the home page for more details.


I have 8+ years of experience in software development on various Java technologies & methodologies.
I'm a hands-on technical leader who has built software products from the ground up and provided guidance to the developers. I'm motivated by product success and business growth, not technology for technology's sake.
I'm largely technology agnostic; though I'm strongest in Linux, Java, JavaScript, Postgres, MySQL, HBase, Spring eco system, Spring-boot, Microservices, JHipster etc.
I'm always interested in becoming a better technology leader, and meeting interesting people in various sector.
I'm also very much interested in Data Structure and Algorithms. Always want to provide algoritms based solutions towards both time and space complexity & with the intention of scalable product.
See my LinkedIn profile for more career details.
My personal interests include:


- server - package server
-
Provides the classes necessary to represent any hippodrome region on the server side of
the execution.
- server - Static variable in class server.ServerLauncher
-
The instance of a general server.
- server - Variable in class server.ServiceProviderAgent
-
The instance of a server received from the outside
- Server - Interface in server
-
Interface to be implemented in every hippodrome region.
- ServerConfigurations - Class in configurations
-
Definition of the configurations for the hippodrome regions (also known as server).
- ServerConfigurations() - Constructor for class configurations.ServerConfigurations
-
- serverConnectionInstance - Static variable in class server.ServerLauncher
-
The instance of the communication channel.
- serverConnectionRequest - Static variable in class server.ServerLauncher
-
The request channel for communications with the clients.
- ServerLauncher - Class in server
-
Main function which must be used to run the various entities classified on
entities
.
- ServerLauncher() - Constructor for class server.ServerLauncher
-
- serviceProviderAgent - Static variable in class server.ServerLauncher
-
The instance of the service provider agent.
- ServiceProviderAgent - Class in server
-
A Service Provider Agent which provides the how-to process the messages after the
passive hippodrome regions.
- ServiceProviderAgent(ServerCom, Server) - Constructor for class server.ServiceProviderAgent
-
Creates a Service Provider Agent.
- setAbility(int) - Method in class communications.Message
-
Sets a new pair Horse/Jockey ability.
- setAbility(int) - Method in class hippodrome.rollfilm.HorseJockey
-
Set the current ability of this pair Horse/Jockey (
HorseJockey
).
- setAbility(int, int) - Method in class clients.BettingCentreStub
-
Stub entity to set the ability of a pair Horse/Jockey, to be registered in the
BettingCentre
.
- setAbility(int, int) - Method in class hippodrome.BettingCentre
-
Sets the ability of a pair Horse/Jockey on a internal structure in order to evaluate its odds later.
- setAbility(int, int) - Method in interface hippodrome.BettingCentreInterface
-
- setAmountOfMoney(int) - Method in class hippodrome.rollfilm.Spectator
-
Sets a new amount of money of a spectator.
- setBetAmount(int) - Method in class hippodrome.rollfilm.Spectator
-
Sets the new amount of money spent on a new bet.
- setBetSelection(int) - Method in class hippodrome.rollfilm.Spectator
-
Sets the new bet on a pair Horse/Jockey which runs at the racing track.
- setBrokerState(BrokerState) - Method in class communications.Message
-
Sets a new Broker state.
- setBrokerState(BrokerState) - Method in class entities.Broker
-
Sets the Entities's state, from the possible available
BrokerState
enumeration.
- setBrokerState(BrokerState) - Method in class server.ServiceProviderAgent
-
Sets the state of the Broker.
- setBrokerStatus(BrokerState) - Method in class clients.GeneralInformationRepositoryStub
-
- setBrokerStatus(BrokerState) - Method in class hippodrome.GeneralInformationRepository
-
- setBrokerStatus(BrokerState) - Method in interface hippodrome.GeneralInformationRepositoryInterface
-
- setFinalStandPosition(int) - Method in class hippodrome.rollfilm.HorseJockey
-
Set the final standing position of this pair Horse/Jockey (
HorseJockey
), as the race terminates.
- setHorseID(int) - Method in class communications.Message
-
Sets a new pair Horse/Jockey identification.
- setHorseJockeyAbility(int, int) - Method in class clients.GeneralInformationRepositoryStub
-
- setHorseJockeyAbility(int, int) - Method in class hippodrome.GeneralInformationRepository
-
- setHorseJockeyAbility(int, int) - Method in interface hippodrome.GeneralInformationRepositoryInterface
-
- setHorseJockeyFinalStandPosition(int, int) - Method in class clients.GeneralInformationRepositoryStub
-
- setHorseJockeyFinalStandPosition(int, int) - Method in class hippodrome.GeneralInformationRepository
-
- setHorseJockeyFinalStandPosition(int, int) - Method in interface hippodrome.GeneralInformationRepositoryInterface
-
- setHorseJockeyNumberOfIncrementsDid(int, int) - Method in class clients.GeneralInformationRepositoryStub
-
- setHorseJockeyNumberOfIncrementsDid(int, int) - Method in class hippodrome.GeneralInformationRepository
-
Sets a new number of increments (iterations) for the
horseJockeyId
HorseJockey
.
- setHorseJockeyNumberOfIncrementsDid(int, int) - Method in interface hippodrome.GeneralInformationRepositoryInterface
-
- setHorseJockeyPositionOnTrack(int, int) - Method in class clients.GeneralInformationRepositoryStub
-
- setHorseJockeyPositionOnTrack(int, int) - Method in class hippodrome.GeneralInformationRepository
-
Sets a new position on track for the
horseJockeyId
HorseJockey
.
- setHorseJockeyPositionOnTrack(int, int) - Method in interface hippodrome.GeneralInformationRepositoryInterface
-
- setHorseJockeyProbabilityToWin(int, int) - Method in class clients.GeneralInformationRepositoryStub
-
- setHorseJockeyProbabilityToWin(int, int) - Method in class hippodrome.GeneralInformationRepository
-
Sets a new probability to win for the
horseJockeyId
HorseJockey
.
- setHorseJockeyProbabilityToWin(int, int) - Method in interface hippodrome.GeneralInformationRepositoryInterface
-
- setHorseJockeyState(HorseJockeyState) - Method in class communications.Message
-
Sets a new pair Horse/Jockey state.
- setHorseJockeyState(HorseJockeyState) - Method in class entities.HorseJockey
-
Sets the HorseJockey's state, from the possible available
HorseJockeyState
enumeration.
- setHorseJockeyState(HorseJockeyState) - Method in class server.ServiceProviderAgent
-
Sets the state of the pair Horse/Jockey.
- setHorseJockeyStatus(int, HorseJockeyState) - Method in class clients.GeneralInformationRepositoryStub
-
- setHorseJockeyStatus(int, HorseJockeyState) - Method in class hippodrome.GeneralInformationRepository
-
- setHorseJockeyStatus(int, HorseJockeyState) - Method in interface hippodrome.GeneralInformationRepositoryInterface
-
- setNumberOfIncrementsDid(int) - Method in class hippodrome.rollfilm.HorseJockey
-
Set the number of increments (iterations) of this pair Horse/Jockey (
HorseJockey
).
- setPositionOnTrack(int) - Method in class hippodrome.rollfilm.HorseJockey
-
Set the new position on track this pair Horse/Jockey (
HorseJockey
).
- setProbabilityToWin(int) - Method in class hippodrome.rollfilm.HorseJockey
-
Set the probability to win of this pair Horse/Jockey (
HorseJockey
).
- setRace(int) - Method in class entities.Broker
-
Sets the Entities's current Racing Track's instance
RacingTrack
.
- setRace(Race) - Method in class clients.RacingTrackStub
-
- setRace(Race) - Method in class communications.Message
-
Sets a new Race.
- setRace(Race) - Method in class hippodrome.RacingTrack
-
Set a new Race instance.
- setRace(Race) - Method in interface hippodrome.RacingTrackInterface
-
- setRaceDistance(int) - Method in class clients.GeneralInformationRepositoryStub
-
- setRaceDistance(int) - Method in class hippodrome.GeneralInformationRepository
-
Sets a new race distance as the last race distance.
- setRaceDistance(int) - Method in interface hippodrome.GeneralInformationRepositoryInterface
-
- setRaceNumber(int) - Method in class clients.GeneralInformationRepositoryStub
-
- setRaceNumber(int) - Method in class communications.Message
-
Sets a new race identification.
- setRaceNumber(int) - Method in class entities.HorseJockey
-
Sets a new race number identification for this pair Horse/Jockey, applicable when this same entity runs in
different occasions.
- setRaceNumber(int) - Method in class hippodrome.GeneralInformationRepository
-
Sets a new race number as the last race number.
- setRaceNumber(int) - Method in interface hippodrome.GeneralInformationRepositoryInterface
-
- setSpectatorAmountOfMoney(int, int) - Method in class clients.GeneralInformationRepositoryStub
-
- setSpectatorAmountOfMoney(int, int) - Method in class hippodrome.GeneralInformationRepository
-
Sets a new amount of money for the
spectatorId
Spectator
.
- setSpectatorAmountOfMoney(int, int) - Method in interface hippodrome.GeneralInformationRepositoryInterface
-
- setSpectatorBetAmount(int, int) - Method in class clients.GeneralInformationRepositoryStub
-
- setSpectatorBetAmount(int, int) - Method in class hippodrome.GeneralInformationRepository
-
Sets a new betting amount of the
spectatorId
Spectator
.
- setSpectatorBetAmount(int, int) - Method in interface hippodrome.GeneralInformationRepositoryInterface
-
- setSpectatorBetSelection(int, int) - Method in class clients.GeneralInformationRepositoryStub
-
- setSpectatorBetSelection(int, int) - Method in class hippodrome.GeneralInformationRepository
-
Sets a new betting selection for the
spectatorId
Spectator
.
- setSpectatorBetSelection(int, int) - Method in interface hippodrome.GeneralInformationRepositoryInterface
-
- setSpectatorID(int) - Method in class communications.Message
-
Sets a new Spectator identification.
- setSpectatorState(SpectatorState) - Method in class communications.Message
-
Sets a new Spectator state.
- setSpectatorState(SpectatorState) - Method in class entities.Spectator
-
Sets the Spectator's state, from the possible available
SpectatorState
enumeration.
- setSpectatorState(SpectatorState) - Method in class server.ServiceProviderAgent
-
Sets the state of the Spectator.
- setSpectatorStatus(int, SpectatorState) - Method in class clients.GeneralInformationRepositoryStub
-
- setSpectatorStatus(int, SpectatorState) - Method in class hippodrome.GeneralInformationRepository
-
- setSpectatorStatus(int, SpectatorState) - Method in interface hippodrome.GeneralInformationRepositoryInterface
-
- setStatus(HorseJockeyState) - Method in class hippodrome.rollfilm.HorseJockey
-
Set the current status of this pair Horse/Jockey (
HorseJockey
).
- setStatus(SpectatorState) - Method in class hippodrome.rollfilm.Spectator
-
- SETTLING_ACCOUNTS - entities.BrokerState
-
This is a blocking state with transition.
- setValue(boolean) - Method in class communications.Message
-
Sets a new boolean variable value.
- setWereWaitingTheHorses(boolean) - Method in class clients.GeneralInformationRepositoryStub
-
- setWereWaitingTheHorses(boolean) - Method in class hippodrome.GeneralInformationRepository
-
Sets value to internal variable to inform that all the Spectators and Entities are already created and ready on start.
- setWereWaitingTheHorses(boolean) - Method in interface hippodrome.GeneralInformationRepositoryInterface
-
- shutdown() - Method in class clients.BettingCentreStub
-
- shutdown() - Method in class clients.ControlCentreStub
-
- shutdown() - Method in class clients.GeneralInformationRepositoryStub
-
- shutdown() - Method in class clients.PaddockStub
-
Stub entity to shutdown the premises of the
Paddock
.
- shutdown() - Method in class clients.RacingTrackStub
-
Stub entity to shutdown the premises of the
RacingTrack
.
- shutdown() - Method in class clients.StableStub
-
Stub entity to shutdown the premises of the
Stable
.
- shutdown() - Method in class entities.Broker
-
Send request to shutdown the hippodrome regions, since anything more is needed after then.
- shutdown() - Method in class entities.Spectator
-
Send request to shutdown the hippodrome regions, since anything more is needed after then.
- shutdownArray - Static variable in class server.ServiceProviderAgent
-
An internal structure to manage the hippodrome regions which must be shutdown
- SimulationConfigurations - Class in configurations
-
Definition of the configurations for the simulation (also known as server).
- SimulationConfigurations() - Constructor for class configurations.SimulationConfigurations
-
- Spectator - Class in entities
-
Implementation of a Spectator which will be watching an horse race and betting on it.
- Spectator - Class in hippodrome.rollfilm
-
Class which saves a snapshot of a Spectator.
- Spectator() - Constructor for class hippodrome.rollfilm.Spectator
-
- Spectator(int, int, int) - Constructor for class entities.Spectator
-
Creates a Spectator with an identification
and a given amount of money
.
- SPECTATOR_HOST - Static variable in class configurations.ClientConfigurations
-
Definition of the Spectators port for the execution.
- SPECTATOR_PORT - Static variable in class configurations.ClientConfigurations
-
Definition of the Spectators port for the execution.
- spectatorAmountOfMoney - Variable in class communications.Message
-
This message's amount of money
- spectatorBetSelection - Variable in class communications.Message
-
This message's bet selection
- spectatorID - Variable in class communications.Message
-
This message's spectator identification
- spectatorIdentification - Variable in class server.ServiceProviderAgent
-
The identification of a Spectator
- spectators - Variable in class hippodrome.GeneralInformationRepository
-
- spectatorState - Variable in class communications.Message
-
The state of this message's spectator
- spectatorState - Variable in class server.ServiceProviderAgent
-
The state of a Spectator
- SpectatorState - Enum in entities
-
Enumeration of all Spectator's states, given on its lifecycle.
- SpectatorState() - Constructor for enum entities.SpectatorState
-
- stable - Variable in class entities.Broker
-
The
Stable
instance where this
Broker
will perform its actions.
- stable - Variable in class entities.HorseJockey
-
The
Stable
instance where this pair Horse/Jockey (
HorseJockey
) will perform its actions.
- stable - Variable in class server.StableProxy
-
A Stable instance.
- Stable - Class in hippodrome
-
Place where the horses rest waiting their turn to enter the competition.
- Stable() - Constructor for class hippodrome.Stable
-
Creates a Stable.
- STABLE_HOST - Static variable in class configurations.ServerConfigurations
-
Definition of the Stable host for the execution.
- STABLE_PORT - Static variable in class configurations.ServerConfigurations
-
Definition of the Stable port for the execution.
- STABLE_PROCEED_TO_STABLE - communications.MessageType
-
- STABLE_PROCEED_TO_STABLE_WITH_RACE_ID - communications.MessageType
-
- STABLE_SHUTDOWN - communications.MessageType
-
Message representing a shutdown of the Stable
- STABLE_SUMMON_HORSES_TO_PADDOCK - communications.MessageType
-
- STABLE_TIME_TO_SLEEP - Static variable in class configurations.ServerConfigurations
-
Definition of the Stable time to sleep for the execution.
- StableInterface - Interface in hippodrome
-
Interface of the place where the horses rest waiting their turn to enter the competition.
- StableProxy - Class in server
-
Stable endpoint representation on the server side.
- StableProxy() - Constructor for class server.StableProxy
-
Creates a Stable Proxy instance.
- StableStub - Class in clients
-
Representation of a place where the
HorseJockey
s rest before and after each
Race
.
- StableStub() - Constructor for class clients.StableStub
-
- startTheRace() - Method in class clients.ControlCentreStub
-
- startTheRace() - Method in class clients.RacingTrackStub
-
Stub entity to represent the will of the
Broker
to Start the Race on
the
RacingTrack
.
- startTheRace() - Method in class hippodrome.ControlCentre
-
- startTheRace() - Method in interface hippodrome.ControlCentreInterface
-
- startTheRace() - Method in class hippodrome.RacingTrack
-
Signal that the race is about to start, by the
Broker
performing its job.
- startTheRace() - Method in interface hippodrome.RacingTrackInterface
-
- state - Variable in class entities.Broker
-
A representation of the Entities's state given by the
BrokerState
enumeration.
- state - Variable in class entities.HorseJockey
-
A representation of the pair Horse/Jockey's state given by the
HorseJockeyState
enumeration.
- state - Variable in class entities.Spectator
-
A representation of the Spectator's state given by the
SpectatorState
enumeration.
- status - Variable in class hippodrome.rollfilm.HorseJockey
-
Current status of this pair Horse/Jockey (
HorseJockey
).
- status - Variable in class hippodrome.rollfilm.Spectator
-
- summonHorsesToPaddock() - Method in class clients.ControlCentreStub
-
- summonHorsesToPaddock() - Method in class hippodrome.ControlCentre
-
Changes the state of the Entities to Announcing Next Race (
ANR
) and waits till the last
ControlCentre.goCheckHorses()
from the last Spectator to arrive on Paddock.
- summonHorsesToPaddock() - Method in interface hippodrome.ControlCentreInterface
-
- summonHorsesToPaddock(int) - Method in class clients.StableStub
-
Stub entity to represent the will of the
Broker
to Proceed to the Paddock on
the
Stable
.
- summonHorsesToPaddock(int) - Method in class hippodrome.Stable
-
Signal given by the
Broker
to summon all the horses of the
raceNumber
race, from the
Stable
to the
Paddock
.
- summonHorsesToPaddock(int) - Method in interface hippodrome.StableInterface
-
- sumOf(int[]) - Method in class hippodrome.BettingCentre
-
Retrieves the sum of all elements of an array array
.
- SUPERVISING_THE_RACE - entities.BrokerState
-
This is a blocking state.


---
title: Column sizes
layout: documentation
doc-tab: columns
doc-subtab: sizes
breadcrumb:
- home
- documentation
- columns
- columns-sizes
---
{% capture columns_sizes %}
If you want to change the size of a single column, you can use one of the following classes:
-
is-three-quarters
-
is-two-thirds
-
is-half
-
is-one-third
-
is-one-quarter
-
is-full
The other columns will fill up the remaining space automatically.
You can now use the following multiples of 20%
as well:
-
is-four-fifths
-
is-three-fifths
-
is-two-fifths
-
is-one-fifth
As the grid can be divided into 12 columns, there are size classes for each division:
is-1
is-2
is-3
is-4
is-5
is-6
is-7
is-8
is-9
is-10
is-11
is-12
While you can use empty columns (like

) to create horizontal space around .column
elements, you can also use offset modifiers like .is-offset-x
:
If you want a column to only take the space it needs, use the is-narrow
modifier. The other column(s) will fill up the remaining space.
As for the size modifiers, you can have narrow columns for different breakpoints:
-
.is-narrow-mobile
-
.is-narrow-tablet
-
.is-narrow-touch
-
.is-narrow-desktop
-
.is-narrow-widescreen
-
.is-narrow-fullhd


South African aboard ship where 7 seamen were kidnapped, says Equatorial Guinea
Seven crew members aboard a supply ship for the oil industry in Equatorial Guinea were kidnapped when "pirates" attacked their vessel, the oil and gas ministry said in a statement on Friday.
The US oil giant Exxonmobil reported that the supply ship Warden, which it was chartering from the oil services firm Swire, was attacked on Wednesday in the country's territorial waters, it said.
The 15-member crew comprised nationals from South Africa, the Philippines, Serbia and Cameroon.
According to AFP, eight colleagues hid, while the other seven were kidnapped. It is unclear if the South African national was one of those kidnapped.


THE CRYING GAME A ten-step film review by Ron Hogan Copyright 1993 Ron Hogan
1) Excerpted from an interview with David Cronenberg in INNER VIEWS, a collection of interviews with seven contemporary directors:
Because in a cinema you are abstracting yourself from your daily life to have this special moment, this sacrament... But the very fact that you have abstracted yourself from you everyday life means you have disinvolved yourself, the process, from your life (235).
One of the things about growing up in what Jack Nicholson referred to in a recent interview as the "post-literate generation" is that, from the age of nine or so onward, film and cinema ceased to hold as much of that sacramental mystique for me. First through cable television, and later and more powerfully through the VCR, the breadth and depth of cinema became available in my home. Cronenberg again: "It's almost unthinkable now, that you did not have access to films except when they came out in the cinema and then disappeared forever..." (236). Through the process of overfamiliarization, perhaps even saturation, I came to recognize the conventional patterns around which films are organized--so individual films rarely hold any suspense for me. It seems that about one film a year can come up with a plot twist that genuinely shocks me. In 1991, it was the true nature of Branagh's "I'm not Roman" line in DEAD AGAIN, and in 1992, it is THE CRYING GAME.
2) Since my film reviews have centered around what's in a film and what can perhaps be extracted from its contents, rather than whether or not you should go out and see it, I have been pretty casual with regards to spoilers. It helps that all the films I've previously reviewed have not had any major surprises. This is not the case with THE CRYING GAME. Two of my ten points revolve around the genuine surprise contained within the film. That makes this review a genuine spoiler, so I've decided to put a control-L after this paragraph. If you haven't seen the film, don't spoil it for yourself by reading the rest of this article.
3) The girl that isn't a girl: that genuinely surprising moment for me is, of course, that beautiful tracking shot that starts from her head and slowly goes down her body, soaking up her nakedness, culminating in a full set of testicles. I dare anybody to see that coming beforehand. It's interesting that the film places her as one part of the only true functional relationship, the unseen relationship between her and Jody. The point being that love/trust isn't something that necessarily takes place between a man and a woman, and that being a man or a woman isn't necessarily related to having testicles or a vagina. The bond between Jody and Fergus, for example, is a strong bond, which has nothing to do with the fact that both of them are men. Placing a character in the film who "is" simultaneously male and female emphasizes that this is a film about relationships between *human beings*.
4) Jaye Davidson does a fantastic job as Dil, probably the most difficult film role of 1992. One wonders if she were to be nominated for an Oscar--AMPAS members could have a real puzzler on their hands as to whether or not somebody with testicles can be nominated for Best Actress or not. This is a largely rhetorical question, of course--if nothing else, the Academy will bend over backwards to find five people with vaginas to throw into consideration--probably Emma Thompson and Susan Sarandon included. But in general, I don't think this has been an especially good year for women's roles in film.
5) Stephen Rea will not get nominated for Best Actor for Fergus, because there's a glut of actors to choose from this year. Which is a shame, as he does a fantastic job playing a man trying to cope with all the things that life throws at him: coming to respect a man and then having to shoot that man; falling in love with a woman who turns out to be a man; getting pulled back into a life he's trying to escape. And on his looks alone, especially after he gets his haircut in England, he has the potential to be at least a minor sex symbol for the 90s if he plays his cards right.
6) Good to see Neil Jordan making a film for himself again--that seems to be what he does best. Though even his Hollywood films don't feel like complete sellouts, and HIGH SPIRITS showed some genuine potential--plus he never got a chance to supervise the cutting of that film. But it's in a situation like this, when Jordan is in control of the vision, that he truly excels as a filmmaker.
7) I had something to say about terrorism here, but I can't remember what it was. Only that it had something to do with a psychological condition--the Stockholm syndrome--in which the hostages come to identify with their captors. An opposite process looks to occur within this film, partly because Fergus isn't really cut out for terrorism--he's got the skills, but not the heart. As I said before, a genuine bond takes place between Jody and Fergus, but I add now that it's purposefully cultivated by Jody as a straw at which to grab when it comes time to make the escape attempt.
8) That bond is rooted in the fact that although one man is black and the other white, one English and the other Irish, they are both men. There are certain qualities that transcend national and ethnic boundaries: the need for respect and self-respect, the love of a good woman, the need for the sort of dignity that comes from being able to take your own penis out of your boxers when you need to urinate. It's the search for those self-qualities that Fergus takes up even after Jody's death--they are brought into the forefront when the two men are talking, but they remain throughout the rest of the film.
9) So the films about people's natures--a point brought home by the telling of the parable of the frog and the scorpion *twice*. Since the best known source of that parable is Orson Welles' CONFIDENTIAL REPORT (also known as MR. ARKADIN), I was trying to build up a connection between the two films, at least in my mind, and it is this--the stories of men who, in the midst of violent situations of intrigue, struggle to discover the true identity of themselves and of their adversary--after all, Fergus' affair with Dil is part of his attempt to understand what Jody was really like, why he affected Fergus so. Also, as in Welles' TOUCH OF EVIL, nobody is who they appear to be in this film--only in THE CRYING GAME, the differences become much more divergent, rooted in the character's own bodies.
10) For a British film, there's a lot of American pop music, the two main selections of which are used quite ironically, though the true irony of "When a Man Loves a Woman" only becomes apparent halfway through the film. Lyle Lovett's cover of "Stand By Your Man" was so perfectly suited to the ending of the film, though--the good humor with which Fergus has sardonically adjusted to Dil's maleness really comes through in his aloofness, and the song is the culmination point of the ironic way Jordan deals with the revelation once it has been made. As for the song "The Crying Game," I had never heard it before, so I don't honestly know if it's British or American, but Boy George's version isn't half bad--and how appropriate to have the title song sung by the one pop star of the eighties who most successfully embodied androgyny. Heck, for the first month or so of "Do You Really Want to Hurt Me," I thought he *was* a woman. So it was a genuine surprise much like the one provided by this excellent film when the truth came out.
Ron Hogan<EMAIL_ADDRESS>comments welcome
.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


--- layout: post title: Drew Conway on the intersection of Data-Science and Social-Science date: 2012-10-26 14:29:10.000000000 -04:00 categories: - Books - Social Science - Talks tags: [] status: publish type: post published: true meta: _publicize_pending: '1' _edit_last: '7106425' author: login: samarthbhaskar email<EMAIL_ADDRESS>display_name: samarthbhaskar first_name: '' last_name: '' ---
http://www.youtube.com/watch?feature=player_embedded&v=vUI3MmOrk20#at=901
Drew Conway (hacker, data-scientist, political-scientist, and pseudo-data-celebrity) gave this great talk recently at a conference that I enjoyed. He talks about the intersection of the data-sciences (hacking + statistics) and the social sciences. Drew, whose book Machine Learning for Hackers, I enjoyed a lot is a great example of someone who is bringing the tools of computer science and data-science to bear on an unrelated (at first glance) field, the social sciences.


DVM Industries
Turnkey Facility and Energy Solutions
We apologize, our awesome website is in construction!
Great things are happening. Stay tuned for what we've got in store for you.
Great things are happening. Stay tuned for what we've got in store for you.


raycast(origin, direction=(
0,
0,
1), distance=inf, traverse_target=scene,
ignore=list(), debug=False)
Casts a ray from *origin*, in *direction*, with length *distance* and returns
a HitInfo containing information about what it hit. This ray will only hit entities with a collider.
Use optional *traverse_target* to only be able to hit a specific entity and its children/descendants.
Use optional *ignore* list to ignore certain entities.
Setting debug to True will draw the line on screen.
Example where we only move if a wall is not hit:
from ursina
import *
app = Ursina()
class Player(
Entity):
def update(self):
self.direction = Vec3(
self.forward * (held_keys[
'w'] - held_keys[
's'])
+ self.right * (held_keys[
'd'] - held_keys[
'a'])
).normalized()
# get the direction we're trying to walk in.
origin = self.world_position + (self.up*.
5)
# the ray should start slightly up from the ground so we can walk up slopes or walk over small objects.
hit_info = raycast(origin , self.direction,
ignore=(self,), distance=.
5, debug=False)
if not hit_info.hit:
self.position += self.direction *
5 * time.dt
Player(
model=
'cube', origin_
y=-.
5,
color=color.orange)
wall_left =
Entity(
model=
'cube',
collider=
'box', scale_
y=
3, origin_
y=-.
5,
color=color.azure, x=-
4)
wall_right = duplicate(wall_left, x=
4)
camera.y =
2
app.run()
boxcast()
boxcast(origin, direction=(
0,
0,
1), distance=
9999,
thickness=(
1,
1), traverse_target=scene,
ignore=list(), debug=False)
# similar to raycast, but with width and height
boxcast is similar to raycast, but the "ray" has thickness, height and width.
intersects()
Check if a entity (with a collider) intersects other entities with colliders.
from ursina
import *
app = Ursina()
player =
Entity(
model=
'cube',
color=color.orange,
collider=
'box', origin_
y=-.
5)
trigger_box =
Entity(
model=
'wireframe_cube',
color=color.gray,
scale=
2,
collider=
'box',
position=Vec3(
1,
0,
2), origin_
y=-.
5)
EditorCamera()
def update():
player.z += (held_keys[
'w'] - held_keys[
's']) * time.dt *
6
player.x += (held_keys[
'd'] - held_keys[
'a']) * time.dt *
6
if player.intersects(trigger_box).hit:
trigger_box.color = color.lime
print(
'player is inside trigger box')
else:
trigger_box.color = color.gray
app.run()
HitInfo
All of these functions will return a HitInfo. This contains information about what it hit
hit = None
entity = None
point = None
world_point = None
distance = math.inf
normal = None
world_normal = None
hits = []
entities = []
Distance Check
Sometimes it enough to just check the distance between two entities.
For example if you want a pickup:
from ursina
import *
from ursina.prefabs.first_person_controller
import FirstPersonController
app = Ursina()
ground =
Entity(
model=
'plane',
texture=
'grass',
scale=
10,
collider=
'box')
player = FirstPersonController(
model=
'cube', origin_
y=-.
5,
color=color.orange, has_pickup=False)
camera.z = -
5
pickup =
Entity(
model=
'sphere',
position=(
1,.
5,
3))
def update():
if not player.has_pickup and distance(player, pickup) < pickup.scale_x /
2:
print(
'pickup')
player.has_pickup = True
pickup.animate_scale(
0, duration=.
1)
destroy(pickup, dela
y=.
1)
app.run()
Mouse Collision
The mouse does raycast automatically.
Both UI elements(Entities parented to camera.ui) and Entities in 3d space (parented to scene) can
get hit as long as they have a collider. UI elements will however block things behind them.
mouse.hovered_entity returns
mouse.normal # returns the normal of the polygon, in local space.
mouse.world_normal # returns the normal of the polygon, in world space.
mouse.point # returns the point hit, in local space
mouse.world_point # returns the point hit, in world space
Handling clicks is very easy, just add a collider and on_click.
The on_click function will then be called when you click on the Entity with the mouse.
def action():
print(
'Ow! That hurt!')
Entity(
model=
'quad',
parent=camera.ui,
scale=.
1,
collider=
'box',
on_click=action)
# on_click should be a function/callable/Func/Sequence


Access WHO Global Health Observatory (<http://www.who.int/gho/>) data from R via the Athena web service (<http://apps.who.int/gho/data/node.resources.api>), an application program interface providing a simple query interface to the World Health Organization's data and statistics content.
| Version: | 1.0.1 |
| Depends: | R (≥ 3.2.2) |
| Imports: | curl, dplyr, httr, jsonlite, lazyeval, magrittr, memoise, readr, tibble, tidyr |
| Suggests: | testthat, knitr, rmarkdown |
| Published: | 2017-01-18 |
| Author: | Antoine Filipovic-Pierucci [aut,cre] |
| Maintainer: | Antoine Filipovic-Pierucci <pierucci at gmail.com> |
| BugReports: | https://github.com/pierucci/rgho/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/pierucci/rgho, https://pierucci.org |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | rgho results |
| Reference manual: | rgho.pdf |
| Vignettes: |
Introduction Dimension Names Codes for the GHO Dimension Codes for the COUNTRY Dimension Details |
| Package source: | rgho_1.0.1.tar.gz |
| Windows binaries: | r-devel: rgho_1.0.1.zip, r-release: rgho_1.0.1.zip, r-oldrel: rgho_1.0.1.zip |
| OS X binaries: | r-release: rgho_1.0.1.tgz, r-oldrel: rgho_1.0.1.tgz |
| Old sources: | rgho archive |
| Reverse suggests: | heemod |
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--- layout: page title: "HTTP Link and Unlink Methods" description: "This specification defines the semantics of the LINK and UNLINK HTTP methods." ---
| Document Name: | Internet Draft snell-link-method |
|---|---|
| Document URI: |
urn:ietf:id:snell-link-method
|
| Online Version: |
https://datatracker.ietf.org/doc/html/draft-snell-link-method
|
| Organization: | Internet Engineering Task Force (IETF) |
| Series: | Internet Draft (I-D) |
| Abstract: | This specification defines the semantics of the LINK and UNLINK HTTP methods. |
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JNRPE Overview
What it can do for you
JNRPE is a Java version of the Nagios Remote Plugin Executor.
Using
it you will:
- Easily create Nagios Plugins using JAVA
- Execute JAVA plugin without incurring into the JVM execution
overhead on any call
- Use the same software to execute plugins on any platform
where a JVM can run
- Install JNRPE and its plugin without the need to recompile
the sources for your platform
- Ability to use JNRPE to execute the already existing
(native) Nagios plugin
Cool licensing
JNRPE is published under the terms of Apache License Version
2.0.


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This project is an attempt to make a robot
that can solve a randomly given maze in the most optimal path).
To achieve this, I implemented my own
version of the A* algorithm!
Orbit
This is a project in Swift! It is my attempt at a simple
physics engine to simulate a solar system. I am also thinking of
extending this project so stay tuned.
Steganography
A java program that allows you to hide
secret messages in plain site! Inspired by some very
interesting computer security lectures.
Anagram Solver
One of my first useful programs. Originally in VB,
it is now re-written in java and includes useful new features
(such as word validity checking)
Data Structures and Algorithms
Some data structures I designed and implemented myself.
These were all part of some CS coursework, and
have allowed me to understand them at a deeper level.


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| ACADEMIC SECTION | |||||
| TIME TABLE: JAN-MAY 2019 | DEPT. OF COMPUTER APPLICATIONS | ||||
| Sem & Section:II Sem MCA SECTION A | Lecture Hall: AB4 IC 506 | Effective from: 03-Jan-2019 |
| 08.00 - 09.00 | 09.00 - 10.00 | 10.00 - 10.30 | 10.30 - 11.30 | 11.30 - 12.30 | 12.30 - 01.00 | 01.00 - 02.00 | 02.00 - 03.00 | 03.00 - 03.30 | 03.30 - 04.30 | 04.30 - 05.30 | |||||||||
| MON | AJP | DCS/MIS/DIP* | ACN | WP | NP Lab (Batch 1)/ WP Lab (Batch 2) SCALE (Batch 3) | ||||||||||||||
| TUE | JP Lab (Batch 1)/NP Lab (Batch 2) | CC | ACN Tutorial | AJP | DCS/MIS/DIP* | ||||||||||||||
| WED | ACN | WP | CC | F | WP Lab (Batch 3)/ JP Lab (Batch 2) | ||||||||||||||
| THU | NP Lab (Batch 3)/ SCALE (Batch 1) | AJP | DCS/MIS/DIP* | ACN | WP | ||||||||||||||
| FRI | CC | F | AJP | DCS/MIS/DIP* | JP Lab (Batch 3)/ WP Lab (Batch 1) /SCALE (Batch 2) | ||||||||||||||
| SAT | ACN | WP | CC | <--------Student Skill Enhancement--------> |
| Subject Code | Subject Name | Faculty | Subject Code | Subject Name | Faculty |
| MCA- 4201 | Advanced Java Programming (AJP) | MR. GANAPATHI NAYAK (GN) | MCA-5005 | Management Information Systems (MIS) | MR. TOJO THOMAS (TT) |
| MCA- 4202 | Advanced Computer Networks (ACN) | MR. NIRMAL NIGAM (NKN) | MCA- 4205 | Network Programming Lab (NP Lab) | NKN/VM |
| MCA- 4203 | Web Programming (WP) | MR. AKSHAY BHAT (AB) | MCA- 4206 | Web Programming Lab (WP Lab) | AB/MH |
| MCA- 4204 | Cloud Computing (CC) | MRS. LINDA TOJO (LT) | MCA- 4207 | Java Programming Lab (JP Lab) | GN/AH |
| MCA-5002 | Distributed Computing Systems (DCS) | DR. KARUNAKAR K. (KK) | SCALE & Student Skill Enhancement | DR. POORNIMA P.K (PPK)/ MR. TOJO THOMAS (TT)/ DR. ROHINI RAO (RR) | |
| MCA-5003 | Digital Image Processing (DIP) | DR. HAREESHA K.S. (HKS) |
Head of the Department


Background¶
Here, we give a quick overview of the theory behind the EMUS package. For an in-depth analysis, please refer to the [EMUS paper](http://scitation.aip.org/content/aip/journal/jcp/145/8/10.1063/1.4960649).
Basics of Equilibrium Umbrella Sampling¶
In umbrella sampling, we are interested in computing averages of a function \(g\) over a probability distribution \(\pi\). We will use angle brackets to denote the the value of these averages (also known as expectations).
For instance, \(\pi\) might be the Boltzmann distribution,
where \(H_0\) is the system Hamiltonian, \(k_B\) is Boltzmann’s constant, \(T\) is the temperature. In particular, we can express the free energy difference between two states \(S_1\) and \(S_2\) as
where \(\iota\) is the indicator function
For complex systems, these integrals must often be performed using Monte Carlo or related methods. Here, we create a chain of \(N\) configurations, \(X_t\), and calculate the sample mean, [1]
As \(N\) approaches infinity, the sample mean converges to \(\left \langle g \right \rangle\).
However, for complicated probability densities, this convergence can be particularly slow. Umbrella sampling overcomes this by instead sampling from multiple biased probability densities,
Here \(\psi_i\) is a collection of \(L\) nonnegative functions, which we refer to as “bias functions”. In molecular dynamics, gaussian bias functions are commonly used,
where \(q\) is a collective variable, a function of the coordinates that encodes the large-scale structure of the system and regulates its dynamics. This choice gives the following biased density.
This corresponds to adding a harmonic potential centered at \(q_i^0\) with spring constant \(k_i\) to the system Hamiltonian. The simulation corresponding to the \(i\)‘th biasing function is referred to as the simulation “in the \(i'th\) window.” We then collect a dataseries sampling each biased density, \(X_t^i\). If the bias functions are chosen intelligently, sample means converge much more quickly in the biased densities than in the unbiased probability density. However, this leaves the task of recombining the data across multiple biased distributions. EMUS is algorithm for performing this task.
EMUS¶
The EMUS algorithm relies on the identity
where we have defined
The weights \(z_i\) are proportional to the normalization constants of \(pi_i\), and solve the equation
Consequently, the EMUS algorithm works as follows. For every \(i\) and each datapoint \(X_t^i\), we calculate the estimates
We then solve our approximation to the eigenvector problem in (2) using the matrix of \(F_{ij}\) values, and compute estimates of \(\left \langle g \right \rangle\) by using substituting our estimates into (1).
| [1] | Note that for many common sampling schemes, the variable \(t\) corresponds to a system “time”. |


{% extends "base.html" %} {% block navbar %}{% include "navbar-frontpage.html" %}{% endblock navbar %} {% block content %} {% load i18n %} {% load staticfiles %} {% language lang_code %}
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Package org.drip.function.r1tor1solver
Class InitializationHeuristics
java.lang.Object
org.drip.function.r1tor1solver.InitializationHeuristics
public class InitializationHeuristics
extends java.lang.Object
InitializationHeuristics implements several heuristics used to kick off the fixed point
bracketing/search process.
The following custom heuristics are implemented as part of the heuristics based kick-off:
These heuristics are further interpreted and developed inside the ExecutionInitializer and the ExecutionControl implementations.
The following custom heuristics are implemented as part of the heuristics based kick-off:
- Custom Bracketing Control Parameters: Any of the standard bracketing control parameters can be customized to kick-off the bracketing search.
- Soft Left/Right Bracketing Hints: The left/right starting bracket edges are used as soft bracketing initialization hints.
- Soft Mid Bracketing Hint: A mid bracketing level is specified to indicate the soft bracketing kick-off.
- Hard Bracketing Floor/Ceiling: A pair of hard floor and ceiling limits are specified as a constraint to the bracketing.
- Hard Search Boundaries: A pair of hard left and right boundaries are specified to kick-off the final fixed point search.
These heuristics are further interpreted and developed inside the ExecutionInitializer and the ExecutionControl implementations.
- Module = Computational Core Module
- Library = Numerical Analysis Library
- Project = Rd To Rd Function Analysis
- Package = Built-in R1 To R1 Solvers
- Author:
- Lakshmi Krishnamurthy
-
Field Summary
Fields Modifier and Type Field Description static int
BRACKETING_CUSTOM_BCP
Start search from Custom Bracketing Control Parametersstatic int
BRACKETING_EDGE_HINTS
Start bracket initialization from Pre-specified left/right edge hintsstatic int
BRACKETING_FLOOR_CEILING
Restrict the bracket initialization to within the specified Floor and Ceilingstatic int
BRACKETING_GENERIC_BCP
Start bracket initialization from the Generic Bracket Initializerstatic int
BRACKETING_MID_HINT
Start bracket initialization from Pre-specified Starting Mid Bracketing Variatestatic int
SEARCH_HARD_BRACKETS
Start search from Pre-specified Hard Search Brackets -
Constructor Summary
Constructors Constructor Description InitializationHeuristics(int iDeterminant, double dblSearchStartLeft, double dblSearchStartRight, double dblStartingBracketLeft, double dblStartingBracketRight, double dblStartingBracketMid, double dblBracketFloor, double dblBracketCeiling, BracketingControlParams bcpCustom)
Construct an Initialization Heuristics Instance from the set of Heuristics Parameters -
Method Summary
Modifier and Type Method Description static InitializationHeuristics
FromBracketingCustomBCP(BracketingControlParams bcpCustom)
Construct an Initialization Heuristics Instance from Custom Bracketing Control Parametersstatic InitializationHeuristics
FromBracketingEdgeHints(double dblStartingBracketLeft, double dblStartingBracketRight)
Construct an Initialization Heuristics Instance from the bracketing edge soft hintsstatic InitializationHeuristics
FromBracketingFloorCeiling(double dblBracketFloor, double dblBracketCeiling)
Construct an Initialization Heuristics Instance from the bracketing hard floor/ceilingstatic InitializationHeuristics
FromBracketingMidHint(double dblStartingBracketMid)
Construct an Initialization Heuristics Instance from the bracketing mid hintstatic InitializationHeuristics
FromHardSearchEdges(double dblSearchStartLeft, double dblSearchStartRight)
Construct an Initialization Heuristics Instance from the hard search edgesdouble
getBracketCeiling()
Retrieve the Hard Bracket Ceilingdouble
getBracketFloor()
Retrieve the Hard Bracket FloorBracketingControlParams
getCustomBCP()
Retrieve the Custom BCPint
getDeterminant()
Retrieve the Determinantdouble
getSearchStartLeft()
Retrieve the Hard Left Search Startdouble
getSearchStartRight()
Retrieve the Hard Right Search Startdouble
getStartingBracketLeft()
Retrieve the Soft Bracket Start Leftdouble
getStartingBracketMid()
Retrieve the Soft Bracket Start Middouble
getStartingBracketRight()
Retrieve the Soft Bracket Start RightMethods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
-
Field Details
-
BRACKETING_GENERIC_BCP
public static final int BRACKETING_GENERIC_BCPStart bracket initialization from the Generic Bracket Initializer- See Also:
- Constant Field Values
-
BRACKETING_EDGE_HINTS
public static final int BRACKETING_EDGE_HINTSStart bracket initialization from Pre-specified left/right edge hints- See Also:
- Constant Field Values
-
BRACKETING_MID_HINT
public static final int BRACKETING_MID_HINTStart bracket initialization from Pre-specified Starting Mid Bracketing Variate- See Also:
- Constant Field Values
-
BRACKETING_FLOOR_CEILING
public static final int BRACKETING_FLOOR_CEILINGRestrict the bracket initialization to within the specified Floor and Ceiling- See Also:
- Constant Field Values
-
SEARCH_HARD_BRACKETS
public static final int SEARCH_HARD_BRACKETSStart search from Pre-specified Hard Search Brackets- See Also:
- Constant Field Values
-
BRACKETING_CUSTOM_BCP
public static final int BRACKETING_CUSTOM_BCPStart search from Custom Bracketing Control Parameters- See Also:
- Constant Field Values
-
-
Constructor Details
-
InitializationHeuristics
public InitializationHeuristics(int iDeterminant, double dblSearchStartLeft, double dblSearchStartRight, double dblStartingBracketLeft, double dblStartingBracketRight, double dblStartingBracketMid, double dblBracketFloor, double dblBracketCeiling, BracketingControlParams bcpCustom) throws java.lang.ExceptionConstruct an Initialization Heuristics Instance from the set of Heuristics Parameters- Parameters:
iDeterminant
- Initialization Heuristics Instance TypedblSearchStartLeft
- Hard Search Start Left EdgedblSearchStartRight
- Hard Search Start Right EdgedblStartingBracketLeft
- Starting Soft Left Bracketing Edge HintdblStartingBracketRight
- Starting Soft Right Bracketing Edge HintdblStartingBracketMid
- Starting Soft Right Bracketing Mid HintdblBracketFloor
- Starting Hard Left Bracketing FloordblBracketCeiling
- Starting Hard Right Bracketing CeilingbcpCustom
- Custom Bracketing Control Parameters- Throws:
java.lang.Exception
- Thrown if the Input Determinant/parameters are unknown/invalid
-
-
Method Details
-
FromHardSearchEdges
public static final InitializationHeuristics FromHardSearchEdges(double dblSearchStartLeft, double dblSearchStartRight)Construct an Initialization Heuristics Instance from the hard search edges- Parameters:
dblSearchStartLeft
- Search Start Left EdgedblSearchStartRight
- Search Start Right Edge- Returns:
- InitializationHeuristics instance
-
FromBracketingEdgeHints
public static final InitializationHeuristics FromBracketingEdgeHints(double dblStartingBracketLeft, double dblStartingBracketRight)Construct an Initialization Heuristics Instance from the bracketing edge soft hints- Parameters:
dblStartingBracketLeft
- Starting Soft Left Bracketing Edge HintdblStartingBracketRight
- Starting Soft Right Bracketing Edge Hint- Returns:
- InitializationHeuristics instance
-
FromBracketingMidHint
Construct an Initialization Heuristics Instance from the bracketing mid hint- Parameters:
dblStartingBracketMid
- Starting Soft Right Bracketing Mid Hint- Returns:
- InitializationHeuristics instance
-
FromBracketingFloorCeiling
public static final InitializationHeuristics FromBracketingFloorCeiling(double dblBracketFloor, double dblBracketCeiling)Construct an Initialization Heuristics Instance from the bracketing hard floor/ceiling- Parameters:
dblBracketFloor
- Starting Hard Left Bracketing FloordblBracketCeiling
- Starting Hard Right Bracketing Ceiling- Returns:
- InitializationHeuristics instance
-
FromBracketingCustomBCP
public static final InitializationHeuristics FromBracketingCustomBCP(BracketingControlParams bcpCustom)Construct an Initialization Heuristics Instance from Custom Bracketing Control Parameters- Parameters:
bcpCustom
- Custom Bracketing Control Parameters- Returns:
- InitializationHeuristics instance
-
getDeterminant
public int getDeterminant()Retrieve the Determinant- Returns:
- The Determinant
-
getSearchStartLeft
public double getSearchStartLeft()Retrieve the Hard Left Search Start- Returns:
- The Hard Left Search Start
-
getSearchStartRight
public double getSearchStartRight()Retrieve the Hard Right Search Start- Returns:
- The Hard Right Search Start
-
getStartingBracketMid
public double getStartingBracketMid()Retrieve the Soft Bracket Start Mid- Returns:
- The Soft Bracket Start Mid
-
getStartingBracketLeft
public double getStartingBracketLeft()Retrieve the Soft Bracket Start Left- Returns:
- The Soft Bracket Start Left
-
getBracketFloor
public double getBracketFloor()Retrieve the Hard Bracket Floor- Returns:
- The Hard Bracket Floor
-
getStartingBracketRight
public double getStartingBracketRight()Retrieve the Soft Bracket Start Right- Returns:
- The Soft Bracket Start Right
-
getBracketCeiling
public double getBracketCeiling()Retrieve the Hard Bracket Ceiling- Returns:
- The Hard Bracket Ceiling
-
getCustomBCP
Retrieve the Custom BCP- Returns:
- The Custom BCP
-


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