Detailed mapping of both the seafloor and the land under the ice is critical to moving forward our understanding of what is driving the acceleration of glacial change in Thwaites Glacier. However, the area is extremely challenging to reach, often blocked by sea ice, icebergs and ice shelves thus data has remained scarce. In 2019 an ITGC research cruise was able to collect highly detailed bathymetry data focused on the seafloor just in front of Thwaites Glacier. The data show deep cut channels that provide pathways for warmer ocean water to reach up under the ice shelf where it is causing ice melt.
ocean depth measurements
What is this map about? This map focuses on seafloor bathymetry and understanding its shape and depth in the region just in front of Thwaites Glacier. Understanding the geometry of the ocean floor is critically important for several reasons. (1) Trenches and deep channels in the seafloor are pathways the ocean uses to access the ice. Ocean temperatures around Antarctica are an important influence on the ice, especially the salty, warmer 0.5 to 1.5 degree C water in the Circumpolar Deep Water (CDW). (See the following section, and view the map Ocean Temperatures at 550m in the app to learn more). (2) Along with deep trenches, the seafloor has elevated ridges or high points where the ice can attach, providing stability and slowing retreat of the grounding line. Additionally, ridges can reroute and block water that is moving in to erode the grounding line.
a salty, warm water ocean current that makes its way onto the Continental Shelf in Amundsen Sea area at depths of more than 300 meters
the region where ice transitions from grounded ice sheet to freely floating ice shelf
What is the role of the Circumpolar Deep Water (CDW)? In the ocean, differences in temperature and salinity create different density layers in the water. The top layer of ocean surface water around Antarctica is dominated by cold fresh meltwater from the ice, but layered beneath this 300-500 meter layer of colder surface water is a mixture of warmer salty water. This 0.5 to 1.5°C water comes from a water mass called the Circumpolar Deep Water (CDW) circulating around Antarctica as part of the large Antarctic Circumpolar Current (ACC). The CDW plays a critical role in the changes taking place in the Amundsen Sea and Thwaites Glacier region.
massive current, the most important current in the Southern Ocean, and the only current that flows completely around the globe
328-547 yards
33-35°F
The warmer CDW moves in from the ocean and is denser due to higher salt content. Scientists worry about pathways in channels or troughs that allow dense CDW to move from the Southern Ocean surrounding Antarctica across the continental shelf and up to the and under the ice where its temperature will melt and erode the ice. In most areas around Antarctica the warmer CDW reaches the land below the continental shelf break sitting deep enough in the water column that it does not make it up onto the shelf. However, in the area around Thwaites CDW does move up onto the shelf where any deep cuts in the seafloor provide a pathway to the ice and the grounding line, the leading edge of where the ice remains frozen to the bed.
the edge of a continent that lies under the ocean
How was this data collected? The data was collected using a multibeam echosounder (MBES) an instrument that measures a number of depths along a strip (swath) of ocean bottom. Sound is used to obtain the depths. A transducer sends a pulse of sound through the water, the sound reflects off the bottom returning back to an array of transducers. MBES operate a single transmitting beam with many receiving beams. For this dataset 2000 km² of new data was acquired for an area 40 km out from the ice shelf edge across much of Thwaites Glacier. This was possible due to the limited amount of sea ice that existed in front of Thwaites Glacier from January-March 2019. Note that the final data compiled in this map includes MBES data from several other cruises that have operated in this areas by the US, UK, Germany, Sweden and Korea.
772 miles²
25 miles
What can you find in the data? A deep depression with water depths of 1100-1250 meters was identified just offshore, and named Thwaites Trough, running NNE-SSW. This was deeper than the seafloor around it by 200-400 meters. 166 troughs were analyzed, and resulting measurements showed the troughs are generally 10-30 times wider than deep, with average widths or 2090m, depths or 90m, and cross sectional area of 144000m². Spend time exploring the data, click on the areas that are deep to see where you find the deepest measurements. Next explore the data to see if you can find pathways that could carry CDW up to the ice shelf.
1203-1367 yards
219-437 yards
2285 yards
98 yards
172222 yards²
Why is this data important? This new data from just offshore of Thwaites Glacier revealed two important and dominant features, a ~65 km long, ~1200 m deep trough, and a discontinuous ridge at water depths of 650 to <100m. Both link directly to ocean/ice interactions. The deep trough has the capacity to transfer heat and ocean water right up to the grounding line, while higher areas like ridges can block water flow as well as serve as a pinning point for ice. The dataset highlights the value of high resolution information, as previously collected regional data was unable to capture the variability in the seafloor and had underestimating the depths of the troughs that are carved into the seafloor, potential pathways for warm water to reach Thwaites Glacier’s grounding line. Depths were understated by amounts of 250, 500 and 400 meters (see figure), overall underestimating the cross-sectional areas from 7-38%. In addition to underestimating the depths of troughs, the data also underestimated seafloor highs, with some areas found to be more than 100m shallower than stated.
40 miles
1312 yards
710 to <109 yards
273, 546, 437 yards
Data Source


I picked up a couple of baking trays for the total price of £3 - very good value I must say!
You can cut through these trays with a good pair of scissors.
The task of creating a hole in the middle of a sheet of aluminium without the aid of power tools was rather difficult.
I managed to work my way around this later on!
I didn't even end up using this backplate in the end but I thought I'd share it!
Glue gun glue, superglue and black electrical tape were my weapons of choice for attaching different parts to the body.
At this point I ditched the backplate on the left and concentrated on the front of the camera
I attached the bottom to the front part of the camera and taped up the inside of the camera to minimise internal reflections in the camera.
The two small pieces at the bottom are dividers which form the frame for the film.
I found a little patch of carpet laying around and stuck it on the right side of the camera.
This is used to create tension in the take-up-spool for the film.
Drilled two holes to provide access to the film.
The area to the left is where a 35mm film canister is loaded and then screw is then used to rewind the film when unloading the camera.
On the right the screw is used to advance the film between every shot. More details to follow!
I drilled (punctured may a better way to describe it) a hole in the top of the enclosure and threaded a camera cable through it.
Added some fabric to the underside of the holes on the top to minimise light which could enter via these gaps.
something else
So I took a spent film canister, opened it up, did a bit of sawing and flipped it all round all to discover this was a terrible idea!
After deciding my take-up-spool was terrible I decided to scratch away the teflon coating from the baking trays to create a brushed aluminium look.
Don't work like this!
Believe it or not but I took a couple of wall plugs I had lying around and attached them to the screw to form the take-up spool.
Old spindle out. New plugs in.
My carpet idea didn't seem to create enough tension for the film so a paper-clip positioned in a strange manner was just what the doctor ordered.
The end of a paperclip super-glued to the end of the film rewind screw provided the means to rewind film in the canister.

Pierced with a sewing needle. Approximately 0.4mm wide.
Just a little test
I attached the dividers to the front of the camera.
They are 54mm apart (as opposed to the standard 36mm) as I wished to create a camera which would shoot ultra-wide photos - this unfortunately become redundant as explained later.
I loaded a junk developed roll of film into the camera to test it out: all seems swell.
My first backplate in the beginning of the album was inadequate so I remade it using a single piece of "baking tray".
Added some fabric to ensure no light can enter the camera between the front and back bodies of the camera.

These are M3 screw nuts which should enable the camera to be attached to most tripods.
I unfortunately I didn't take more pictures of the finished product.
I used a bit of card and tape to create a shutter, not very accurate or pretty, but it seemed to get the job done :)
I initially hoped for a wide aspect ratio but it seems my shoddy metal work blocked light from entering the camera at extreme angles.
With a 0.4mm pinhole and approximately 25mm between hole and film, the camera had a fixed f-stop of ~62.5. I did a few exposure time calculations when taking photos and even used a light meter for some but as my shutter was completely manual it was rather silly. In sunny conditions I opened the shutter for 1 second, in the shade 4-10.
.
And a not so good one :(
Getting the exposure right for photos was a bit tricky.


Send an email to<EMAIL_ADDRESS>with the subject "Remove all my data from Kilteron" from the email address associated with your Kilteron account.


White Chad'z rating: *** (out of 4 = good) 1994, R, 92 minutes [1 hour, 32 minutes] [drama] starring: Zbigniew Zamachowski (Karol Karol), Janusz Gajos (Mikolaj), Julie Delpy (Dominique), Jerzy Stuhr (Jurek), written by Krysztof Piesiewicz, Krzysztof Kielowski, produced by Marin Karmitz, directed by Krysztof Kielowski.
"White" is the second installment of Krzysztof Kielowski's "Three Colors" trilogy. My ethnic origins are French and Polish so maybe I have some kind of internal bias for liking this film which takes place in both France and Poland (and was made by French and Polish filmmakers). But all of that is really irrelevant because this is a good, moving film about love and freedom.
The story starts out in a French courtroom where a couple is getting a divorce. The husband's name is Karol Karol, (Zamachowski), a depressed and desperate man who loves his [soon to be ex-] wife Dominique (Delpy), but doesn't know what he did wrong and doesn't know how to make things better.
We then proceed to follow Karol around for a while which makes from some good characterization and offbeat dialogue and situations. He is a Pole stuck in France and wants to get back home, but has no money and no friends. Even Dominique is unwilling to help him and we really can sympathize with him. Karol is reduced to playing his comb like a harmonica, begging for change until he meets another Pole named Mikolaj (Gajos), and the two become close friends quickly. The two figure out a cunning way to sneak Karol back into Poland. Maybe the situation in premise is difficult to relate to, but it is the camaraderie between that two that makes the story so interesting, as everyone knows how important, almost life-saving, a good friend can be.
But Karol's love for Dominique has not diminished. He becomes a con-man of sorts, making a bundle of money through insider trading. Even through all this great storytelling and characterization we can still sympathize for his love for Dominique. He hatches a brilliant plan to get her back by faking his own death.
I guess the final act works pretty much as you'd expect it to. It starts to become a straight romance story, but all the while it's able to maintain its good characterization.
"White" does harbor rather profound themes of love and relationships, but it's more than a typical love story. It's a good film about living life to the fullest, because unlike the characters, there's no guarantees of second chances.
Please visit Chad'z Movie Page @ http://members.aol.com/ChadPolenz - over 140 new and old films reviewed in depth, not just blind ratings and capsules. Also, check out The FIRST Shay Astar Web Page @ http://members.aol.com/ChadPolenz/ShayAstar.html
e-mail<EMAIL_ADDRESS>(C)1997 Chad Polenz
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I really wanted to draft this entry for quite some time now. However, I continued postponing it to let my thoughts and emotions o mature and so that my final view is as fair as possible. After all, the distribution I will discuss is a bit of an underdog (though a ton of hipster memes has surfaced already) and truly deserves praise. Who knows, maybe others will share my positive feelings.
First of all, Arch Linux is different. It is not your run-of-the-mill Linux distro which courts the user with stunning
graphics or with an emphasis on user-friendliness. The philosophy behind Arch Linux consists of two core components – simplicity
and transparency. They make up the foundation of the Arch way. The simplicity of Arch Linux is understood differently
than how most people might expect it. In this context simple means uncomplicated and not easy to use.
This means that the initial setup is extremely minimalistic, but effective. In fact, the X Window Server needs to be installed
and configured manually (to some extent). Arch Linux offers a very lean operating system foundation on which one can build
further to his or her liking. Transparency means clarity. The whole system is governed in an impressively
clear way. Configuration files provide necessary input and output. Even the package manager, pacman
, uses a very
modest syntax (you won’t see long command chains like in Debian or Ubuntu), still being equally powerful as apt
or
portage
. It stands to reason, the simpler the configuration and design, the less room for bugs.
Speaking of package management in Arch Linux, it is slightly unusual. We have the mentioned pacman
with its binary
repositories, but also yaourt
with its access to the source-based AUR (Arch User Repositories). In essence, Arch
Linux combines quick and painless installation of regular binary packages with optimized compilation similar to that of Gentoo
(though definitely not as extensive). Each user can contribute to the AUR with new packages or new editions of old ones. Others
may then use those packages, comment on their performance and vote for favorites so that these are later added to the official
pacman
community repositories.
The development model of Arch Linux deserves explicit attention as well. Arch Linux is a rolling-release distribution, meaning
that a single installation suffices for years and live environments are merely snapshots of the OS and pacman
repositories. This is not a very popular choice due to the potential instability of the system and the need to keep it
constantly up-to-date. However, that doesn’t mean Arch Linux ships alpha or beta quality software! Quite the opposite. Packages
are thoroughly tested by a sizable community of experiences programmers before release. This reduces potential risks to a
minimum. Personally, I never had any problems with the system, unless I accidentally caused them myself. Granted, sometimes
manual adjustments were required, but these are always documented in the release notes on the main website.
To sum up, I really enjoyed Arch Linux. To me it is a perfect combination of simplicity, freshness, programming prowess and the finest features from other major distributions like Gentoo or Debian. It can be rather demanding, but the experience gained can become indispensible very quickly when struggling with other Linux systems. Admittedly, it's difficult to judge Arch Linux, because by itself it's extremely simple. However, it's impressive how quickly it can turn into a fully-fledged OS.


{% extends 'micro/base.html' %} {% load static %} {% block forhome %}
Founder, Owner
You can write here details about one of your team members. You can give more details about what they do. Feel free to add some links for people to be able to follow them outside the site.
Manager
You can write here details about one of your team members. You can give more details about what they do. Feel free to add some links for people to be able to follow them outside the site.
Website designer
You can write here details about one of your team members. You can give more details about what they do. Feel free to add some links for people to be able to follow them outside the site.


class SubmissionsImporter
Public Class Methods
attribute_val(row, attributes, name)
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# File app/classes/submissions_importer.rb, line 20 def self.attribute_val(row, attributes, name) row['f'][attributes.index(name)]['v'] end
attributes_list(schema)
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# File app/classes/submissions_importer.rb, line 10 def self.attributes_list(schema) attribute_names = [] schema['fields'].each do |field| attribute_names << field['name'] end attribute_names end
bigquery_init()
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# File app/classes/submissions_importer.rb, line 5 def self.bigquery_init opts = YAML.load_file("#{Rails.root}/config/bigquery.yml") BigQuery::Client.new(opts['config']) end
create_submissions(data, test_type)
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# File app/classes/submissions_importer.rb, line 24 def self.create_submissions(data, test_type) data.each do |row| submission = Submission.where('DATE(created_at) = ? AND ip_address = ? AND test_type = ?', Date.parse(row['UTC_date_time']), row['client_ip_numeric'], test_type).first_or_initialize next if submission.persisted? submission.from_mlab = true submission.completed = true submission.ip_address = row['client_ip_numeric'] submission.created_at = row['UTC_date_time'] submission.address = row['city'] submission.area_code = row['area_code'] submission.zip_code = row['postal_code'] submission.hostname = row['client_hostname'] submission.latitude = row['client_latitude'] submission.longitude = row['client_longitude'] submission.provider = Submission.provider_mapping(submission.get_provider) submission.actual_down_speed = row['downloadThroughput'] submission.actual_upload_speed = row['uploadThroughput'] submission.set_census_code(row['client_latitude'], row['client_longitude']) submission.save end end
download_query(zip_codes)
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# File app/classes/submissions_importer.rb, line 98 def self.download_query(zip_codes) "SELECT test_id, STRFTIME_UTC_USEC((INTEGER(web100_log_entry.log_time) * 1000000), '%Y-%m-%d %T') AS UTC_date_time, PARSE_IP(connection_spec.client_ip) AS client_ip_numeric, connection_spec.client_hostname AS client_hostname, connection_spec.client_application AS client_app, connection_spec.client_geolocation.city AS city, connection_spec.client_geolocation.latitude AS client_latitude, connection_spec.client_geolocation.longitude AS client_longitude, connection_spec.client_geolocation.postal_code AS postal_code, connection_spec.client_geolocation.area_code AS area_code, 8 * web100_log_entry.snap.HCThruOctetsAcked/ (web100_log_entry.snap.SndLimTimeRwin + web100_log_entry.snap.SndLimTimeCwnd + web100_log_entry.snap.SndLimTimeSnd) AS downloadThroughput, NULL AS uploadThroughput, web100_log_entry.snap.HCThruOctetsAcked AS HCThruOctetsAcked, FROM [plx.google:m_lab.ndt.all] WHERE #{time_constraints.to_s} connection_spec.client_geolocation.longitude > -85.948441 AND connection_spec.client_geolocation.longitude < -85.4051 AND connection_spec.client_geolocation.latitude > 37.9971 AND connection_spec.client_geolocation.latitude < 38.38051 AND connection_spec.client_geolocation.postal_code IN (#{zip_codes}) AND IS_EXPLICITLY_DEFINED(web100_log_entry.snap.SndLimTimeRwin) AND IS_EXPLICITLY_DEFINED(web100_log_entry.snap.SndLimTimeCwnd) AND IS_EXPLICITLY_DEFINED(web100_log_entry.snap.SndLimTimeSnd) AND IS_EXPLICITLY_DEFINED(web100_log_entry.snap.HCThruOctetsAcked) AND IS_EXPLICITLY_DEFINED(connection_spec.data_direction) AND connection_spec.data_direction = 1 AND web100_log_entry.snap.HCThruOctetsAcked >= 8192 AND (web100_log_entry.snap.SndLimTimeRwin + web100_log_entry.snap.SndLimTimeCwnd + web100_log_entry.snap.SndLimTimeSnd) >= 9000000 AND (web100_log_entry.snap.SndLimTimeRwin + web100_log_entry.snap.SndLimTimeCwnd + web100_log_entry.snap.SndLimTimeSnd) <<PHONE_NUMBER> AND IS_EXPLICITLY_DEFINED(web100_log_entry.snap.CongSignals) AND web100_log_entry.snap.CongSignals > 0 AND blacklist_flags == 0;" end
import()
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# File app/classes/submissions_importer.rb, line 48 def self.import client = bigquery_init zip_codes = "'#{Submission::ZIP_CODES.join("','")}'" upload_test_data = client.sql(upload_query(zip_codes)) download_test_data = client.sql(download_query(zip_codes)) create_submissions(upload_test_data, 'upload') create_submissions(download_test_data, 'download') end
time_constraints()
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# File app/classes/submissions_importer.rb, line 59 def self.time_constraints start_time = Submission.from_mlab.last.created_at.strftime("%Y-%m-%d %H:%M:%S") end_time = Date.today.strftime("%Y-%m-%d %H:%M:%S") "web100_log_entry.log_time >= PARSE_UTC_USEC('#{start_time}') / POW(10, 6) AND web100_log_entry.log_time < PARSE_UTC_USEC('#{end_time}') / POW(10, 6) AND" if Submission.from_mlab.count > 0 end
upload_query(zip_codes)
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# File app/classes/submissions_importer.rb, line 66 def self.upload_query(zip_codes) "SELECT test_id, STRFTIME_UTC_USEC(INTEGER(web100_log_entry.log_time) * 1000000, '%Y-%m-%d %T') AS UTC_date_time, PARSE_IP(connection_spec.client_ip) AS client_ip_numeric, connection_spec.client_hostname AS client_hostname, connection_spec.client_application AS client_app, connection_spec.client_geolocation.city AS city, connection_spec.client_geolocation.latitude AS client_latitude, connection_spec.client_geolocation.longitude AS client_longitude, connection_spec.client_geolocation.postal_code AS postal_code, connection_spec.client_geolocation.area_code AS area_code, 8 * web100_log_entry.snap.HCThruOctetsReceived/web100_log_entry.snap.Duration AS uploadThroughput, NULL AS downloadThroughput, web100_log_entry.snap.Duration AS duration, web100_log_entry.snap.HCThruOctetsReceived AS HCThruOctetsRecv FROM [plx.google:m_lab.ndt.all] WHERE #{time_constraints.to_s} connection_spec.client_geolocation.longitude > -85.948441 AND connection_spec.client_geolocation.longitude < -85.4051 AND connection_spec.client_geolocation.latitude > 37.9971 AND connection_spec.client_geolocation.latitude < 38.38051 AND connection_spec.client_geolocation.postal_code IN (#{zip_codes}) AND IS_EXPLICITLY_DEFINED(web100_log_entry.snap.Duration) AND IS_EXPLICITLY_DEFINED(web100_log_entry.snap.HCThruOctetsReceived) AND web100_log_entry.snap.HCThruOctetsReceived >= 8192 AND web100_log_entry.snap.Duration >= 9000000 AND web100_log_entry.snap.Duration <<PHONE_NUMBER> AND blacklist_flags == 0;" end


{% extends "layout.html" %} {% block page_title %} Register Individual {% endblock %} {% block content %} {% include "includes/phase_banner_alpha.html" %} Back Details of the individual applying for registration {% include "includes/full_name.html" %} {% include "includes/address.html" %} {% include "includes/tel_and_email.html" %} {% endblock %}


Using a web service to send an eMail
In an integration project with other platforms the need arose to send messages that are triggered by a web service. In Domino this is just a few lines of code. Added bonus: the message is fully "embedded experiences" enabled. This is the LotusScript class:
Once you add that to a Domino web service you get the following web service definition:
To use that service the web service client needs to Base64 encode the PDF attachment
As usual YMMV
Public Class SendADocumentWithPDFAttachment Public sendTo As String Public subject As String Public textBody As String Public htmlBody As String Public callBackURL As String Public attachmentAsMime As String Public Function sendMessage(message As SendADocumentWithPDFAttachment) As String Dim s As New NotesSession Dim db As NotesDatabase Dim doc As NotesDocument Dim header As NotesMIMEHeader Dim body As NotesMIMEEntity On Error Goto Err_sendMessage 'We are dealing with a MINME message here! s.Convertmime = False Set db = s.Currentdatabase Set doc = db.Createdocument() Call doc.Replaceitemvalue("Form", "Memo") Call doc.Replaceitemvalue("From", s.Username) Call doc.Replaceitemvalue("Subject", message.subject) Call doc.Replaceitemvalue("SendTo", message.sendTo) 'Add other fields as you deem fit 'Prepare the message body Set body = doc.Createmimeentity("Body") body.Createheader("Content-Type").Setheaderval("multipart/alternative") body.Createheader("MIME-Version").Setheaderval("1.0") body.Createheader("Subject").Setheaderval(message.subject) 'Adding the content If message.textBody <> "" Then Call Me.addContent(s, body, message.textBody,"text/plain;charset=UTF-8") End If If message.htmlBody <> "" Then Call Me.addContent(s, body, message.htmlBody,"text/html;charset=UTF-8") End If If message.callBackURL <> "" Then Call Me.addContent(s, body,|{ "url" : "|+message.callBackURL+|" }|,"application/embed+json;charset=UTF-8") End If Call doc.Save(True, True) 'Sending has 2 options: use the send() function or copy the document 'into the mail.box. We use send here Call doc.send(False) s.Convertmime = True sendMessage = "Message submitted" Exit_sendMessage: Exit Function Err_sendMessage: sendMessage = Error$ Resume Exit_sendMessage End Function Private Sub addContent(session As NotesSession, body As NotesMIMEEntity, content As String, contentType As String) Dim mime As NotesMIMEEntity Dim contentStream As NotesStream On Error Goto Err_addContent Set contentStream = session.Createstream() Set mime = body.Createchildentity() Call contentStream.Writetext(content) contentStream.Position = 0 Call mime.setcontentFromText(contentStream,contentType,ENC_BASE64) Exit_addContent: Exit Sub Err_addContent: Print Error$ Resume Exit_addContent End Sub End Class##
Once you add that to a Domino web service you get the following web service definition:
<?xml version="1.0" encoding="UTF-8"?> <definitions targetNamespace="urn:DefaultNamespace" xmlns="http://schemas.xmlsoap.org/wsdl/" xmlns:apachesoap="http://xml.apache.org/xml-soap" xmlns:impl="urn:DefaultNamespace" xmlns:intf="urn:DefaultNamespace" xmlns:soapenc="http://schemas.xmlsoap.org/soap/encoding/" xmlns:wsdl="http://schemas.xmlsoap.org/wsdl/" xmlns:wsdlsoap="http://schemas.xmlsoap.org/wsdl/soap/" xmlns:xsd="http://www.w3.org/2001/XMLSchema"> <wsdl:types> <schema targetNamespace="urn:DefaultNamespace" xmlns="http://www.w3.org/2001/XMLSchema"> <complexType name="SendADocumentWithPDFAttachment"> <sequence/> </complexType> <element name="MESSAGE" type="impl:SendADocumentWithPDFAttachment"/> <element name="SENDMESSAGEReturn" type="xsd:string"/> </schema> </wsdl:types> <message name="SENDMESSAGERequest"> <part element="impl:MESSAGE" name="MESSAGE"/> </message> <message name="SENDMESSAGEResponse"> <part element="impl:SENDMESSAGEReturn" name="SENDMESSAGEReturn"/> </message> <portType name="SendADocument"> <operation name="SENDMESSAGE"> <input message="impl:SENDMESSAGERequest" name="SENDMESSAGERequest"/> <output message="impl:SENDMESSAGEResponse" name="SENDMESSAGEResponse"/> </operation> </portType> <binding name="DominoSoapBinding" type="impl:SendADocument"> <wsdlsoap:binding style="document" transport="http://schemas.xmlsoap.org/soap/http"/> <operation name="SENDMESSAGE"> <wsdlsoap:operation soapAction="SENDMESSAGE"/> <input name="SENDMESSAGERequest"> <wsdlsoap:body use="literal"/> </input> <output name="SENDMESSAGEResponse"> <wsdlsoap:body use="literal"/> </output> </operation> </binding> <service name="SendADocumentService"> <port binding="impl:DominoSoapBinding" name="Domino"> <wsdlsoap:address location="http://localhost"/> </port> </service> </definitions>
To use that service the web service client needs to Base64 encode the PDF attachment
As usual YMMV
Posted by Stephan H Wissel on 06 January 2014 | Comments (0) | categories: IBM Notes


|
|
| Credentials (string nexmoApiKey, string nexmoApiSecret) |
| |
|
| Credentials (string nexmoApiKey, string nexmoApiSecret, string nexmoApplicationId, string nexmoApplicationPrivateKey) |
| |
|
| SmsSignatureGenerator.Method | Method [get, set] |
| | Method to be used for signing SMS Messages More...
|
| |
| string | ApiKey [get, set] |
| | Nexmo API Key (from your account dashboard) More...
|
| |
| string | ApiSecret [get, set] |
| | Nexmo API Secret (from your account dashboard) More...
|
| |
| string | SecuritySecret [get, set] |
| | Signature Secret (from API settings section of your account settings) More...
|
| |
| string | ApplicationId [get, set] |
| | Application ID (GUID) More...
|
| |
| string | ApplicationKey [get, set] |
| | Application private key contents This is the actual key file contents and NOT a path to the key file! More...
|
| |
| string | AppUserAgent [get, set] |
| | (Optional) App useragent value to pass with every request More...
|
| |
◆ FromApiKeySignatureSecretAndMethod()
| static Credentials Nexmo.Api.Request.Credentials.FromApiKeySignatureSecretAndMethod |
( |
string |
apiKey, |
|
|
string |
signatureSecret, |
|
|
SmsSignatureGenerator.Method |
method |
|
) |
| |
|
static |
Builds Credentials from
- Parameters
-
| apiKey | |
| signatureSecret | |
| method | |
- Returns
◆ FromAppIdAndPrivateKey()
| static Credentials Nexmo.Api.Request.Credentials.FromAppIdAndPrivateKey |
( |
string |
appId, |
|
|
string |
privateKey |
|
) |
| |
|
static |
Create Credentials from AppId and Private Key
- Parameters
-
- Returns
◆ FromAppIdAndPrivateKeyPath()
| static Credentials Nexmo.Api.Request.Credentials.FromAppIdAndPrivateKeyPath |
( |
string |
appId, |
|
|
string |
privateKeyPath |
|
) |
| |
|
static |
Opens private key file and reads it
- Parameters
-
| appId | Your Nexmo Application ID |
| privateKeyPath | path to your private Key file |
- Exceptions
-
| System.UnauthorizedAccessException | Thrown if app doesn't have requried permission to key file |
| System.ArgumentException | privateKeyPath is a zero length string, contains only white space or contains one or more invalid charecters |
| System.ArgumentNullException | privateKeyPath is null |
| System.IO.PathTooLongException | The specified path, filename, or both exceed the system-defined max length |
| System.IO.DirectoryNotFoundException | The specified path is invalid, (for example, it is on an unmapped drive). |
| System.IO.FileNotFoundException | The file specified in path was not found. |
| System.NotSupportedException | path is in an invalid format. |
- Returns
- CredentialsObject
◆ ApiKey
| string Nexmo.Api.Request.Credentials.ApiKey |
|
getset |
Nexmo API Key (from your account dashboard)
◆ ApiSecret
| string Nexmo.Api.Request.Credentials.ApiSecret |
|
getset |
Nexmo API Secret (from your account dashboard)
◆ ApplicationId
| string Nexmo.Api.Request.Credentials.ApplicationId |
|
getset |
◆ ApplicationKey
| string Nexmo.Api.Request.Credentials.ApplicationKey |
|
getset |
Application private key contents This is the actual key file contents and NOT a path to the key file!
◆ AppUserAgent
| string Nexmo.Api.Request.Credentials.AppUserAgent |
|
getset |
(Optional) App useragent value to pass with every request
◆ Method
| SmsSignatureGenerator.Method Nexmo.Api.Request.Credentials.Method |
|
getset |
Method to be used for signing SMS Messages
◆ SecuritySecret
| string Nexmo.Api.Request.Credentials.SecuritySecret |
|
getset |
Signature Secret (from API settings section of your account settings)
The documentation for this class was generated from the following file:
- C:/Users/slore/Documents/projects/slorello89/nexmo-dotnet/Nexmo.Api/Request/Credentials.cs


Khoza bullish about the future of SA football
Cape Town - The Premier Soccer League (PSL) chairman Irvin Khoza believes there is reason for optimism in South African football as he aims to improve the Absa Premiership and Multichoice Diski Challenge (MDC).
It was revealed last week that a record R1 billion in revenue was made from the 2018/19 season, and Khoza believes it bodes well for Mzansi's two professional leagues.
Monthly grants awarded to the Premiership and MDC currently stand at R2 million and R500 000 respectively, but that is expected to increase from next season.
"The important thing now, after reaching a record R1 billion in our income, it augurs well for our clubs in the new season," said Khoza, according to KickOff.
"It means it will bring about a new increase on the grants, apart from what has been given to them this season, which was also remarkable.
"So, we're on a sound footing in terms of the governance of the league, and also the issues around the Multichoice Diski Challenge - there's a good story developing for the future of this league."
- TeamTalk Media


TS linter allows for the creation of custom rules.
One such example is a rule which traverses the source code and looks for a value which is not allowed - in this case the word 'only'
import * as Lint from 'tslint';
import * as ts from 'typescript';
export class Rule extends Lint.Rules.AbstractRule {
public static FAILURE_STRING = 'Use of only keyword is disallowed.';
public static metadata: Lint.IRuleMetadata = {
ruleName: 'no-only-filter',
description: 'Helps to keep your imports in order.',
options: null,
optionsDescription: null,
type: 'functionality',
typescriptOnly: false,
hasFix: false,
requiresTypeInfo: false
};
public apply(sourceFile: ts.SourceFile): Lint.RuleFailure[] {
return this.applyWithWalker(new Walk(sourceFile, this.getOptions()));
}
}
class Walk extends Lint.RuleWalker {
protected visitSourceFile(node: ts.SourceFile) {
if (node.text.match(/\.only\./g)) {
const errorStart = node.text.indexOf('.only');
this.addFailureAt(errorStart, '.only'.length, Rule.FAILURE_STRING);
}
super.visitSourceFile(node);
}
}
There are a few conventions that need to be considered in order for the rule to work. The name of the class should be Rule and it should inherit from Lint.Rules.AbstractRule
. The name of the file itself should have Rule as suffix as well.
When ready with the logic you should compile the source file to a Javscipt: tsc noFilterRule.ts
In your tslint.json configuration file add "rulesDirectory": "./tslint-rules"
and also turn the rule on under rules section like that: "no-only-filter": true,
TS lint should now pickup the new rule and report any violations. The position of the error reported will be as calculated in the errorStart
variable passed to addFailureAt
method.


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#ForACause
PLASMA DONATION:[ENTER DATA CAREFULLY ; ONCE ENTERED CANNOT BE UNDONE]
Full Name :
Email :
Date of Birth :
Age :
Gender :
Male
Female
Other
Phone :
Address :
Pincode :
Blood :
A+
A-
B+
B-
AB+
AB-
O+
O-
OTHERS
Date of Last Symptoms :
Was your COVID-19 diagnosis confirmed by a lab test?
Yes
No
Do You Currently Have Symptoms?
Yes
No
Have you had a follow-up test that was negative for COVID-19 that confirms you no longer have the virus?
Yes
No
Have you ever received a blood transfusion?
Yes
No
Have you ever had a transplant?
Yes
No
FEMALE ONLY - Have you ever been pregnant?
Yes
No


Good judgment comes from experience, but experience comes from bad judgment.
I am not a great programmer, I am just a good programmer with good habits.
Most of you are familiar with the programmer's virtues, and there are three: laziness, impatience, and arrogance.


HPC quality persistence with few lines
01: #include <h5cpp/core>
02: #include "generated.h"
03: #include <h5cpp/io>
04: int main(int argc, char *argv[] ){
05: h5::fd_t fd = h5::create("lightning-talk-example.h5",H5F_ACC_TRUNC);
06: try {
07: h5::pt_t pt = h5::create<sn::example::complicated_struct_t>(fd, "dataset name",
08: h5::max_dims{H5S_UNLIMITED}, h5::chunk{1024} );
09: sn::example::complicated_struct_t event;
10: for(size_t i=0; i<size; i++ )
12: h5::append(pt, event);
13: } catch ( const h5::error::any& e ){ ... }
14: }
01: namespace sn::example {
02: struct complicated_struct_t {
03: unsigned long idx;
... };
12: }
- take an arbitrary complex POD type
- persist it within a tight event loop
- with a CRUD like operator
- into a dataset -- with some properties
- where the dataset is part of the HDF5 container
- generated.h doesn't exist yet
The header file with HDF5 Compound Type descriptors:
#ifndef H5CPP_GUARD_kCTha
#define H5CPP_GUARD_kCTha
namespace h5 {
template<> hid_t inline register_struct<sn::example::complicated_struct_t>(){
hsize_t at_00_[] ={7}; hid_t at_00 = H5Tarray_create(H5T_NATIVE_FLOAT,1,at_00_);
hsize_t at_01_[] ={3}; hid_t at_01 = H5Tarray_create(H5T_NATIVE_DOUBLE,1,at_01_);
hid_t ct_00 = H5Tcreate(H5T_COMPOUND, sizeof (sn::other::struct_t));
H5Tinsert(ct_00, "idx", HOFFSET(sn::other::struct_t,idx),H5T_NATIVE_ULONG);
H5Tinsert(ct_00, "field_02", HOFFSET(sn::other::struct_t,field_02),at_01);
hsize_t at_02_[] ={5}; hid_t at_02 = H5Tarray_create(ct_00,1,at_02_);
hsize_t at_03_[] ={8}; hid_t at_03 = H5Tarray_create(ct_00,1,at_03_);
hsize_t at_04_[] ={3}; hid_t at_04 = H5Tarray_create(at_03,1,at_04_);
hid_t ct_01 = H5Tcreate(H5T_COMPOUND, sizeof (sn::example::complicated_struct_t));
H5Tinsert(ct_01, "idx", HOFFSET(sn::example::complicated_struct_t,idx),H5T_NATIVE_ULONG);
H5Tinsert(ct_01, "field_02", HOFFSET(sn::example::complicated_struct_t,field_02),at_00);
H5Tinsert(ct_01, "field_03", HOFFSET(sn::example::complicated_struct_t,field_03),at_02);
H5Tinsert(ct_01, "field_04", HOFFSET(sn::example::complicated_struct_t,field_04),at_04);
H5Tclose(at_00); H5Tclose(at_01); H5Tclose(ct_00); H5Tclose(at_02); H5Tclose(at_03);
H5Tclose(at_04);
return ct_01;
};
}
H5CPP_REGISTER_STRUCT(sn::example::complicated_struct_t);
#endif
- random include guards
- within namespace
- template specialization for h5::operators
- compound types are recursively created
- resources are closed to prevent leak


BACITRACIN- bacitracin ointment
Fera Pharmaceuticals
Each gram of ointment contains 500 units of Bacitracin in a low melting special base containing White Petrolatum and Mineral Oil.
The antibiotic, Bacitracin, exerts a profound action against many gram-positive pathogens, including the common Streptococci and Staphylococci. It is also destructive for certain gram-negative organisms. It is ineffective against fungi.
For the treatment of superficial ocular infections involving the conjunctiva and/or cornea caused by Bacitracin susceptible organisms.
This product should not be used in patients with a history of hypersensitivity to Bacitracin.
Bacitracin ophthalmic ointment should not be used in deep-seated ocular infections or in those that are likely to become systemic. The prolonged use of antibiotic containing preparations may result in overgrowth of nonsusceptible organisms particularly fungi. If new infections develop during treatment appropriate antibiotic or chemotherapy should be instituted.
Bacitracin has such a low incidence of allergenicity that for all practical purposes side reactions are practically non-existent. However, if such reaction should occur, therapy should be discontinued.
To report SUSPECTED ADVERSE REACTIONS, contact Fera Pharmaceuticals, LLC at<PHONE_NUMBER>, Monday - Friday 9am - 5pm EST, or FDA at 1-800-FDA-1088 or www.fda.gov/medwatch.
The ointment should be applied directly into the conjunctival sac 1 to 3 times daily. In blepharitis all scales and crusts should be carefully removed and the ointment then spread uniformly over the lid margins. Patients should be instructed to take appropriate measures to avoid gross contamination of the ointment when applying the ointment directly to the infected eye.
NDC 48102-007-13 3 - 1 g sterile tamper evident tubes with ophthalmic tip.
NDC 48102-007-35 3.5 g (1/8 oz.) sterile tamper evident tubes with ophthalmic tip.
Store at 20°-25° C (68°-77° F) (See USP Controlled room temperature).
NDC 48102-007-13
Rx only
BACITRACIN OPHTHALMIC
OINTMENT USP, 500 units/g
STERILE
3 x 1 g tubes
Sterile Ophthalmic Ointment
Weighing 1 gram each
USUAL DOSAGE: Apply 1 to 3 times daily.
See package insert for full prescribing information.
EACH GRAM CONTAINS: 500 units of Bacitracin per gram, White Petrolatum, Mineral Oil.
Keep tightly closed.
Store at 20°-25° C (68°-77° F) (See USP
Controlled room temperature).
Keep out of reach of children.
NDC 48102-007-11
STERILE
Rx only
BACITRACIN
OPHTHALMIC
OINTMENT USP
500 units/g
NET WT 1 gm
NDC 48102-007-35
Rx only
BACITRACIN OPHTHALMIC
OINTMENT USP
STERILE
CONTAINS: 500 units of Bacitracin per gram, White Petrolatum, Mineral Oil.
NET WT 3.5 g (1/8 Oz)
USUAL DOSAGE: 3 applications daily.
See insert for complete information.
KEEP TIGHTLY CLOSED
STORE AT ROOM TEMPERATURE
KEEP OUT OF REACH OF CHILDREN
See crimp of tube for Lot No. & Exp. Date
NDC 48102-007-35
BACITRACIN
OPHTHALMIC
OINTMENT USP
STERILE
Rx only
USUAL DOSAGE: 3 applications daily.
See insert for complete information.
WARNING: Keep out of reach of children.
See crimp for Lot No. and Exp. Date
CONTAINS: 500 units of Bacitracin per gram, White Petrolatum, Mineral Oil.
NET WT 3.5 g (1/8 Oz)
KEEP TIGHTLY CLOSED
STORE AT ROOM TEMPERATURE
|
BACITRACIN
bacitracin ointment | ||||||||||||||||||||||||||||||
| ||||||||||||||||||||||||||||||
| ||||||||||||||||||||||||||||||
| ||||||||||||||||||||||||||||||
| ||||||||||||||||||||||||||||||
|
| Labeler - Fera Pharmaceuticals (831023713) |


---
layout: null
section-type: about
title: About
---
## About
I am a full-stack web application developer with expertise in JavaScript. Additionally, I have extensive experience in other languages including Java, C#, C++, Python, and more.
With a degree in bioinformatics, I have a love for the life sciences and big data. I am pursuing that passion by working towards a master's degree in information technology with an emphasis in business intelligence and data analytics from the prestigious Carnegie-Mellon University.


@import fr.gospeak.core.domain.{Cfp, Event, Group, Sponsor, SponsorPack, User} @import fr.gospeak.libs.scalautils.domain.Page @import fr.gospeak.web.domain.Breadcrumb @import fr.gospeak.web.pages.partials.display.html._ @import fr.gospeak.web.pages.published.cfps.routes.CfpCtrl @import fr.gospeak.web.pages.published.groups.routes.GroupCtrl @import fr.gospeak.web.utils.UserAwareReq @(group: Group.Full, speakerCount: Long, cfps: Seq[Cfp], events: Page[Event.Full], sponsors: Seq[Sponsor.Full], packs: Seq[SponsorPack], orgas: Seq[User], userMembership: Option[Group.Member])(b: Breadcrumb)(implicit req: UserAwareReq[AnyContent])


{% extends 'base.html'%} {% import 'macros.html' as macro%} {% block styles%} {{ super() }} {% endblock %} {% block content %} Product Pitches Here let's drop all our product pitches promote a product or write an atricle about a product Add a new Pitch {{macro.displayPitchesInCategories(pitches,4)}} {% endblock %}
Here let's drop all our product pitches promote a product or write an atricle about a product


SETSID
Section: Linux Programmer's Manual (2)
Updated: 2013-02-11
Index
Return to Main Contents
NAME
setsid - creates a session and sets the process group ID
SYNOPSIS
#include <unistd.h>
pid_t setsid(void);
DESCRIPTION
setsid()
creates a new session if the calling process is not a
process group leader.
The calling process is the leader of the new
session, the process group leader of the new process group, and has no
controlling terminal.
The process group ID and session ID of the calling
process are set to the PID of the calling process.
The calling process will be the only process in
this new process group and in this new session.
RETURN VALUE
On success, the (new) session ID of the calling process is returned.
On error,
(pid_t) -1
is returned, and
errno
is set to indicate the error.
ERRORS
- EPERM
-
The process group ID of any process equals the PID of the calling process.
Thus, in particular,
setsid()
fails if the calling process is already a process group leader.
CONFORMING TO
SVr4, POSIX.1-2001.
NOTES
A child created via
fork(2)
inherits its parent's session ID.
The session ID is preserved across an
execve(2).
A process group leader is a process with process group ID equal
to its PID.
In order to be sure that
setsid()
will succeed,
fork(2)
and
_exit(2),
and have the child do
setsid().
SEE ALSO
setsid(1),
getsid(2),
setpgid(2),
setpgrp(2),
tcgetsid(3),
credentials(7)
Index
- NAME
-
- SYNOPSIS
-
- DESCRIPTION
-
- RETURN VALUE
-
- ERRORS
-
- CONFORMING TO
-
- NOTES
-
- SEE ALSO
-
This document was created by
man2html,
using the manual pages.
Time: 02:54:48 GMT, September 18, 2014


Everything is an object in Ruby
Ruby is what is called an Object Oriented programming language. Everything in Ruby is an "object", which means that it is an entity that the computer knows about, and that it has attributes, or data attached to it.
Classes are what they sound like
JavaScript is also very lightweight and will not bog down your computer with lots of things to remember."A lightweight programming language is one that is designed to have very small memory footprint, is easy to implement (important when porting a language), and/or has minimalist syntax and features." -Wikipedia (link)
Relatively Easy
JavaScript has a pretty reasonable learning curve compared to other languages.
Mobile
Javascript works just as well for mobile as it does for browser based sites and apps! This flexibility is one of the most important keys to its popularity, given the explosive popularity of mobile computing
Cloudy
Another huge trend in computing is Cloud computing, and JavaScript is fast becoming a key component of server side development using the cloud, in large part thanks to Node.js. Node.js is a software program used develope scalable network applications in JavaScript, and it is hugely popular.


---
layout: archive
author_profile: true
header:
image: autorally_platform_header.jpg
---
{% include base_path %}
The AutoRally platform is a high-performance testbed for advanced perception and control research. The robot, developed at Georgia Tech, is integrated with ROS and designed as a self contained system that requires no external sensing or computing. The robot is a robust, cost-effective, and safe platform that opens the space of agressive autonomous off-road driving to all researchers.
Build instructions for the chassis and compute box, complete parts list, CAD models, core software, simulation environment, and opertating procedures are being released publicly over the next couple months. If you are interested in the platform, check out the documentation, download and test the simulation, and let us know if you have any questions.
{{ site.data.ui-text[site.locale].recent_posts }}
{% for post in paginator.posts paginate:8 %}
{% include archive-single.html type="grid" %}
{% endfor %}
{% include paginator.html %}


{% extends "registration/registration_base.html" %}
{% load i18n %}
{% block title %}{% trans "Kayıt etkinleştirme emaili gönderildi" %}{% endblock %}
{% block content %}
{% endblock %}
{% comment %}
**registration/registration_complete.html**
Used after successful completion of the registration form. This
template has no context variables of its own, and should simply inform
the user that an email containing account-activation information has
been sent.
{% endcomment %}


:(
Unfortunatly this page does not exist, or I just made an error when programing this website. Either is very likely.


Circular genomic permutation approach uses GWAS results to establish the significance of pathway/gene-set associations whilst accounting for genomic structure. All SNPs in the GWAS are placed in a 'circular genome' according to their location. Then the complete set of SNP association p-values are permuted by rotation with respect to the SNPs' genomic locations. Two testing frameworks are available: permutations at the gene level, and permutations at the SNP level. The permutation at the gene level uses fisher's combination test to calculate a single gene p-value, followed by the hypergeometric test. The SNP count methodology maps each SNP to pathways/gene-sets and calculates the proportion of SNPs for the real and the permutated datasets above a pre-defined threshold. Genomicper requires a matrix of GWAS association p-values. The SNPs annotation and pathways annotations can be performed within the package or provided by the user.
| Version: | 1.6 |
| Depends: | R (≥ 2.10) |
| Imports: | stats, grDevices, utils, graphics, DBI |
| Suggests: | KEGG.db, reactome.db, AnnotationDbi |
| Published: | 2016-07-05 |
| Author: | Claudia P. Cabrera, Pau Navarro, Chris S.Haley |
| Maintainer: | Claudia Cabrera <c.cabrera at qmul.ac.uk> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | genomicper results |
| Reference manual: | genomicper.pdf |
| Package source: | genomicper_1.6.tar.gz |
| Windows binaries: | r-devel: genomicper_1.6.zip, r-release: genomicper_1.6.zip, r-oldrel: genomicper_1.6.zip |
| OS X binaries: | r-release: genomicper_1.6.tgz, r-oldrel: genomicper_1.6.tgz |
| Old sources: | genomicper archive |
Please use the canonical form https://CRAN.R-project.org/package=genomicper to link to this page.


Honzi
/
Guides
/
EVE Online
/Heron
Fittings:
DISTRIBUTION-12
SCANNING-HIGHSEC
Fittings
Code
Notes
Distribution Missions 1,2
[Heron, HARON-DISTRIBUTION-12] Inertial Stabilizers II Inertial Stabilizers II Multispectrum Shield Hardener II Multispectrum Shield Hardener II Small Shield Extender II Small Shield Extender II Small Shield Extender II Civilian Gatling Pulse Laser Salvager II Salvager II Small Cargohold Optimization II Small Core Defense Field Extender II Small Core Defense Field Extender II Federation Navy Hammerhead x1 Federation Navy Hobgoblin x3
Scanning Highsec
[Heron, HARON-SCANNING-HIGHSEC] F-89 Compact Signal Amplifier F-89 Compact Signal Amplifier Alumel-Wired Enduring Sensor Booster Alumel-Wired Enduring Sensor Booster Alumel-Wired Enduring Sensor Booster Alumel-Wired Enduring Sensor Booster Alumel-Wired Enduring Sensor Booster Expanded Probe Launcher I Small Gravity Capacitor Upgrade I Small Gravity Capacitor Upgrade I Hobgoblin I x3 ECCM Script x5 Combat Scanner Probe I x8


{% extends "global/Page.html" %} {% load otree %} {% block content %} Question "{{disp_health_message}}" {% formfield player.submitted_answer label = "Have you seen this message previously?"%} {% next_button %} Help Contact Cora Orway at<PHONE_NUMBER> if having any issues. Call Cora {% endblock %}
"{{disp_health_message}}" {% formfield player.submitted_answer label = "Have you seen this message previously?"%} {% next_button %}
Contact Cora Orway at<PHONE_NUMBER> if having any issues.


--- layout: page title: Contact date: 2015-01-15 22:35:02.000000000 -05:00 categories: [] tags: [] status: publish type: page published: true meta: _edit_last: '1' _wp_page_template: default _s2mail: 'yes' author: login: amunda email<EMAIL_ADDRESS>display_name: Abdul Munda first_name: '' last_name: '' ---
Please feel free to contact me for any questions or projects.
[contact_form]


“Death is but the wink of an eye from you, and he who dies from a stroke of the Golden Sword of Heaven must abide countless thousands of years with the old men devils blowing across the sky and muttering curses to their ancestors in their flowing beards.” — Tom Roan, Shadows Of The Crimson Tong


First Personal Project, Heber Junior
In my second year of the computer science course, my colleagues and I received an assignment for an indiplinary project that insisted on creating and versioning a portfolio site - which, oddly enough, is the one I’m posting this message hehe -, until this At the time of the championship I had never even thought about what steps were taken to create a website. therefore, my colleagues and I went out to research and follow the tips that our advisors gave us, where to look and how a website works. We hired an AWS host service and loaded linux on this virtual machine, I was particularly in charge of posting and informing about updates and settings on the site - which, by the way, was the one that took the photo of the group hehe -. Honestly I had no idea how to version a site before this task, I believe that after that I will test it with other sites and other themes and platforms.


Who is the Curium Team?
Curium Users are the Curium Team! Users are encouraged to contribute to Curium’s growth in the way they see fit. With CRU’s and CRU proposals Curium members can help by contributing skills they already have or work with teams to gain new skills. We currently have a strongly committed group of Developers, Contributors, and Moderators. All of which actively participate in contributing to a brighter future for Curium.
Who is the community?
The Curium community is comprised of individuals of all walks of life and skill sets. Individuals who wish to have a voice their concerns, or a say in the direction. As a community centered coin user volunteer their time and skills, in collaboration with others, to bring a brighter future into reality.
Why be community focused and driven?
The people of the crypto world have had their share of leaders with questionable motives. Giving power back to the community is the only true way to achieve decentralization.
Curium Crews (CRU'S) allow members to contribute, lead, or even start different CRU’s. CRU’s allow user to freely collaborate on projects that the community deems of value. CRU’s are self-managed and directed. CRU’s are voted on and allocated budget from the CRU Treasury through CRU proposals.
CRU Proposals allow for Curium master node holders to dictate the direction of the coin by allocating funds to from the CRU Treasury. Users can vote on the CRU proposals they think best serve the future direction of the coin. Members will also be able to allocate funds from the treasury to CRU Leaders.
Why POS with Masternodes?
POS (Proof-of-Stake) is an Eco-friendly alternative to POW (Proof-of-Work). Curium is committed to a better future and with the lower power consumption of POS, Curium stays true to that. It also incentivizes curium’s holders of all sizes by allocating 40% of the block reward to stakers.
Masternodes or (CRU nodes) not only enable lightning fast transactions and stability, but they also add extended functionality to the network. They allow for governance that directs and funds the future development and outreach of Curium through CRU Proposals. Masternode holders are also granted voting rights on CRU Proposals and CRU Treasury fund allocation. Since Master nodes allow these additional features, they are granted 60% of the block reward.


In mathematics, the Fibonacci numbers, commonly denoted F(n) form
a sequence, called the Fibonacci sequence, such that each number
is the sum of the two preceding ones, starting from 0 and 1.
In computability theory, the Ackermann function, named after
Wilhelm Ackermann, is one of the simplest and earliest-discovered
examples of a total computable function that is not primitive
recursive.
In mathematics, the factorial of a positive integer n, denoted by
n!, is the product of all positive integers less than or equal to
n. The symbol for the factorial function is an exclamation mark
after a number.


Visualizer¶
How to start the visualizer:¶
In your pipenv shell, run python .\launcher.pyz visualizer (or v). This will launch the visualizer with default options. The following table lists other flags that can be used to edit the default settings.
| Command | Shorthand | Effect |
|---|---|---|
| --help | -h | Displays the commands available for the visualizer |
| -fullscreen | -f | Launches the visualizer in fullscreen |
| -skip | -s | Visualizer will close automatically on endscreen |
| -gamma (value) | -g (value) | Manually input a set gamma value (not recommended) |
Controls:¶
| Input | Result |
|---|---|
| CTRL + f | Toggle fullscreen |
| CTRL + x | Toggle fps display |
| CTRL + s | Take a screenshot! |
| UP Arrow | Increase visualizer speed up to 4x |
| DOWN Arrow | Decrease visualizer speed down to 0.25x |
| z | Skip to endscreen (only usable after loading screen) |
| 1 | Endscreen only, switches graph to display Population |
| 2 | Endscreen only, switches graph to display Structure |
| 3 | Endscreen only, switches graph to display Gold |
What’s Displayed:¶
Decrees:¶
The top left corner of the screen displays the decree active for the current turn. If the decree matches the disaster occuring that turn, the word ‘Protected!’ will appear beneath it.
Forecast Tape:¶
The forecast tape displays the disasters for the current turn as well as two turns in the past and future.
Disasters that appear in the forecast tape are also marked with a colored indicator. The different colors represent the level of that disaster, according to the table below. These levels correspond to the Disaster.level
values for each disaster.
| Color | Level |
|---|---|
| Bronze | 0 |
| Silver | 1 |
| Gold | 2 |
| Uranium | 3 |
| Plutonium | 4 |
Sensors:¶
The antenna-like structures around the screen are your sensors! Each sensor has its own level, visualized with a colored bar in the middle. The higher the bar, the more accurate the sensor. The sensor color to disaster relationship is described in the following table.
| Type | Color |
|---|---|
| Fire | Red |
| Tornado | Yellow |
| Blizzard | Icy Blue |
| Earthquake | Brown |
| Monster | Orange |
| UFO | Green |
People:¶
Besides one location, each person represents about 1/20th of the current turns allocated effort. Any unused effort is represented by people dancing on the roof of the tallest building. Otherwise, people are placed according to where that turn’s effort is allocated. Examples being people in the sky to fix a blizzard and in a parking lot to upgrade the city.
Status Bar:¶
The status bar at the bottom of the screen can be split into three sections. The leftmost section contains the two health bars, one for Population and one for Structure. Each bar is divided into 50pt chunks. The middle section displays ongoing lasting disasters, with a multplier showing how many of the same one are happening. The turn a marker disappears from this area is the turn it is dealt with. It still deals damage that turn! Finally, the rightmost section displays your current gold count and visualizer speed multiplier.


Try to relax, this will feel a little weird The Matrix
By Ross Anthony
"Unfortunately, no one can be told what the matrix is, you have to see it for yourself," the radio ads drill. But, I can tell you this..."The Matrix" (the movie) is a winding web of dream vs. reality vs. technological dictatorship. It snatches you in your slumber, then challenges you to see the real world as a dream. It won't insult your intelligence; in fact, like Keanu, you'll spend most of the film trying to figure it out. As for the rest: saliva will be evaporating from your wide open mouth as your jaw lowers at the glass-shattering special effects.
I'm not sure why bullets are necessary to battle power-hunger software; but it sure is cool to watch the empty shells fall to the ground in slow mo. There are the times when the psychedelic, poetic, philosophic dialogue kind of bogs up on itself and there's that lull in the second act ... but nothing that a totally dope butt-woopin' climax can't blast from your memory. Now that's why we go to see action movies!
The plot/concept is almost intricate enough to make you forget that fighting technology with Kung Fu is essentially a silly idea. The acting won't steal the show. It's the careful direction (unique, yet reminiscent of Terry Gilliam, especially in "10 monkeys") and sensitive, creative use of remarkable special effects that will burn this film in your memory. Buckle up!
Starring Keanu Reeves and Laurence Fishburne, Carrie-Anne Moss and Joe Pantoliano. Written and Directed by the Wachowski Brothers. Produced by Joel Silver at Village Roadshow/Grocho II/Warner Brothers.
Grade..........................A-
-- Copyright © 1999 Ross Anthony, currently based in Los Angeles, has scripted and shot documentaries, music videos, and shorts in 35 countries across North America, Europe, Africa and Asia. For more reviews visit: http://RossAnthony.com
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


Anime studio arson-murder suspect transferred to Kyoto hospital
KYOTO — The suspect in a deadly arson attack on a Kyoto Animation Co studio in July was sent back Thursday to a Kyoto hospital from one in Osaka Prefecture after undergoing multiple skin grafts.
Kyoto police plan to arrest Shinji Aoba, 41, after he sufficiently recovers from severe burns to be able to withstand detention. But the timing of his arrest is unclear, as Aoba needs further rehabilitation following the attack which killed 36 people and injured 33 others.
The police have obtained an arrest warrant for Aoba on suspicion of murder and other charges. After the incident on July 18, he was taken to the Kyoto hospital before being airlifted to the Osaka hospital on July 20 to receive specialist treatment.
At around 9 a.m. Thursday, Aoba, lying on a stretcher under a blue blanket, was carried into a rapid response vehicle containing medical equipment at the Osaka hospital.
The vehicle, called a "doctor car," arrived at the Kyoto hospital around 75 minutes later.
His condition was declared no longer life-threatening in early August, and has improved to the point where he can talk and eat.
During police questioning conducted on a voluntary basis on Nov 8, Aoba admitted to the allegations, and was quoted as telling them, "I targeted First Studio where the largest number of people (at the company) work," according to investigative sources.
The studio in Kyoto's Fushimi Ward, the center of the company's anime production, was set ablaze on July 18 after Aoba allegedly ignited gasoline inside the three-story building, where 70 people were working.
Kyoto Animation, often referred to as "KyoAni" by fans at home and abroad, is known for works such as "K-On!" and "The Melancholy of Haruhi Suzumiya."
© KYODO


My name is Scarlett Rodriguez, currently attending a nonprofit organization called Year Up as a student of Class 12. I want to pursue a career in IT as a Network Administrator, for that reason I am being trained in hardware and business communications to gain skills to help me with my career. Along with soft skills in business communications and self-development for internship, I am studying to obtain my certification for CompTIA Network+ and A+. My long term goals are to develop my own business that’ll give more opportunities to people and to be a founder of a nonprofit organization for women in technology. In addition to these professional goals, I want to make my interest in Cosmetology into a business and start my own blog as well. Aside from my passion in technology, I have developed an interest in customer service. My current job as a Cashier Specialist has given me the opportunity to provide interpersonal communications. I enjoy helping others in resolving their problems and obtaining a job that involves both tech and customer service is my overall long term career goal. Aside from work, I enjoy volunteering in events for women's organizations that help give a positive impact to the community.


JESON MOR
Traditional - Mongolia
This game is played on a 9x9 board with the following setup:
- HORSES - Each horse moves like the Chess knight (i.e., one cell on an orthogonal direction then one cell diagonally forward on that direction; it may jump).
- GOAL - Wins the player that first occupy the center cell and then leaves it.
An example Blue moves and wins in 5 moves. There is no way that Green is able to stop the invasion of cell e5. There are 4 blue horses in direct move range, against just 3 green horses.


Hi, FIRSTNAME.
I am glad that you have decided to take the time to write me. This shows that you're dedicated and determined to do the best possible job, while simultaneously getting to know your colleagues. Keep that attitude, and you will have a great career ahead of you!
I am also glad that you enjoy my trains! Trains make for great metaphors because they keep following the tracks, never deviating from the path to success. Remember, the tracks were put down by people vastly more experienced than you, so by following them, you are standing on the shoulders of giants! Giants who are also railroad workers.
Keep chugging along, and you will go far!
Sandra Silvern
Managing Consultant / Haka Manager


Priority to bypass project: Collector
M. Anjana takes charge as Alappuzha Collector
by Staff ReporterThe district administration will take all possible steps to complete all pending works and materialise the Alappuzha bypass project, District Collector M. Anjana has said.
Ms. Anjana, who assumed charge as Alappuzha Collector on Friday, said the administration would give priority to waste management.
Drinking water
On issues related to the Alappuzha drinking water project, the Collector said that she would hold discussions with the authorities concerned in a bid to find a lasting solution to the issue.
“I have attended a meeting convened earlier this week to discuss the drinking water issue. We will find a lasting solution to the issue,” she said.
Frequent bursting of pipes supplying drinking water under the Alappuzha drinking water project is causing hardships to residents in Alappuzha municipality and nearby grama panchayats. Recently, thousands of families had been left without water for almost two weeks following a pipe burst at Thakazhy.
Special focus
Ms. Anjana added that special focus would be given to the health and tourism sector in the district.


| Interface | Description |
|---|---|
| FilterEvaluator |
Evaluates information schema for the given condition.
|
| InfoSchemaConstants | |
| RecordCollector |
Provides methods to collect various information_schema data.
|
| Class | Description |
|---|---|
| Drill2283InfoSchemaVarchar1BugTest | |
| FilterEvaluator.InfoSchemaFilterEvaluator |
Evaluates necessity to visit certain type of information_schema data using provided filter.
|
| FilterEvaluator.NoFilterEvaluator |
Evaluates necessity to visit certain type of information_schema data based
on given schema type.
|
| InfoSchemaBatchCreator | |
| InfoSchemaConfig | |
| InfoSchemaDrillTable | |
| InfoSchemaFilter | |
| InfoSchemaFilter.ConstantExprNode | |
| InfoSchemaFilter.ExprNode | |
| InfoSchemaFilter.FieldExprNode | |
| InfoSchemaFilter.FunctionExprNode | |
| InfoSchemaFilterBuilder |
Builds a InfoSchemaFilter out of the Filter condition.
|
| InfoSchemaGroupScan | |
| InfoSchemaPushFilterIntoRecordGenerator | |
| InfoSchemaRecordGenerator<S> |
Generates records for POJO RecordReader by scanning the given schema.
|
| InfoSchemaRecordGenerator.Catalogs | |
| InfoSchemaRecordGenerator.Columns | |
| InfoSchemaRecordGenerator.Files | |
| InfoSchemaRecordGenerator.Partitions | |
| InfoSchemaRecordGenerator.Schemata | |
| InfoSchemaRecordGenerator.Tables | |
| InfoSchemaRecordGenerator.Views | |
| InfoSchemaStoragePlugin | |
| InfoSchemaSubScan | |
| InfoSchemaTable<S> |
Base class for tables in INFORMATION_SCHEMA.
|
| InfoSchemaTable.Catalogs |
Layout for the CATALOGS table.
|
| InfoSchemaTable.Columns |
Layout for the COLUMNS table.
|
| InfoSchemaTable.Field | |
| InfoSchemaTable.Files |
Layout for the FILES table.
|
| InfoSchemaTable.Partitions |
Layout for the PARTITIONS table.
|
| InfoSchemaTable.Schemata |
Layout for the SCHEMATA table.
|
| InfoSchemaTable.Tables |
Layout for the TABLES table.
|
| InfoSchemaTable.Views |
Layout for the VIEWS table.
|
| RecordCollector.BasicRecordCollector |
Provides information_schema data based on information stored in
AbstractSchema . |
| RecordCollector.MetastoreRecordCollector |
Provides information_schema data based on information stored in Drill Metastore.
|
| Records | |
| Records.Catalog |
Pojo object for a record in INFORMATION_SCHEMA.CATALOGS
|
| Records.Column |
Pojo object for a record in INFORMATION_SCHEMA.COLUMNS
|
| Records.File |
Pojo object for a record in INFORMATION_SCHEMA.FILES
|
| Records.Partition |
Pojo object for a record in INFORMATION_SCHEMA.PARTITIONS
|
| Records.Schema |
Pojo object for a record in INFORMATION_SCHEMA.SCHEMATA
|
| Records.Table |
Pojo object for a record in INFORMATION_SCHEMA.TABLES
|
| Records.View |
Pojo object for a record in INFORMATION_SCHEMA.VIEWS
|
| TestFilesTable | |
| TestInfoSchemaFilterPushDown |
| Enum | Description |
|---|---|
| InfoSchemaFilter.ExprNode.Type | |
| InfoSchemaFilter.Result | |
| InfoSchemaTableType |
The set of tables / views in INFORMATION_SCHEMA.
|
Copyright © 2021 The Apache Software Foundation. All rights reserved.


This page is dedicated to my favorite superhero character, The Flash! More specifically Wally West.
Wally West was the nephew of Barry Allen. He was the third person to take up the mantle of The Flash after Jay Garrick and Barry Allen.


The goal of recipeselectors is to provide extra supervised feature selection steps to be used with the tidymodels recipes package.
The package is under development.
devtools::install_github("stevenpawley/recipeselectors")
The following feature selection methods are implemented:
step_select_infgain
provides Information Gain
feature selection. This step requires the FSelectorRcpp
package to be installed.
step_select_mrmr
provides maximum Relevancy Minimum
Redundancy feature selection. This step requires the
praznik
package to be installed.
step_select_roc
provides ROC-based feature selection
based on each predictors’ relationship with the response outcomeas
measured using a Receiver Operating Characteristic curve. Thanks to Max
Kuhn, along with many other useful suggestions.
step_select_xtab
provides feature selection using
statistical association (also thanks to Max Kuhn).
step_select_vip
provides model-based selection using
feature importance scores or coefficients. This method allows a
parsnip
model specification to be used to select a subset
of features based on the models’ feature importances or coefficients.
See below for details. Note, that this step will eventually be
deprecated in favor of separate steps that contain the specific models
that are most commonly used for feature selection such as
step_select_forests
, step_select_tree
and
step_select_linear
.
step_select_boruta
provides a Boruta feature
selection step.
step_select_carscore
provides a CAR score feature
selection step for regression models. This step requires the
care
package to be installed.
step_select_forests
, step_select_tree
,
and step_select_linear
provide model-based methods of
selecting a subset of features based on the model’s feature importance
scores or coefficients. These steps, and potential
step_select_rules
, step_select_boost
will
replace the step_select_vip
method.
Methods that are planned to be added:
Relief-based methods (CORElearn package)
Ensemble feature selection (EFS package)
The focus of recipeselectors
is to provide extra recipes
for filter-based feature selection. A single wrapper method is also
included using the variable importance scores of selected algorithms for
feature selection.
The step_select_vip
is designed to work with the
parsnip
package and requires a base model specification
that provides a method of ranking the importance of features, such as
feature importance scores or coefficients, with one score per feature.
The base model is specified in the step using the model
parameter.
A limitation is that the model used in the
step_select_vip
cannot be tuned. This step will be replaced
by a more appropriate structure that allows both variable selection and
tuning for specific model types.
The parsnip package does not currently contain a method of pulling
feature importance scores from models that support them. The
recipeselectors
package provides a generic function
pull_importances
for this purpose that accepts a fitted
parsnip model, and returns a tibble with two columns ‘feature’ and
‘importance’:
model <- boost_tree(mode = "classification") %>%
set_engine("xgboost")
model_fit <- model %>%
fit(Species ~., iris)
pull_importances(model_fit)
Most of the models and ‘engines’ that provide feature importances are
implemented. In addition, h2o
models are supported using
the h2oparsnip
package. Use
methods(pull_importances)
to list models that are currently
implemented. If need to pull the feature importance scores from a model
that is not currently supported in this package, then you can add a
class to the pull_importances generic function which returns a
two-column tibble:
pull_importances._ranger <- function(object, scaled = FALSE, ...) {
scores <- ranger::importance(object$fit)
# create a tibble with 'feature' and 'importance' columns
scores <- tibble::tibble(
feature = names(scores),
importance = as.numeric(scores)
)
# optionally rescale the importance scores
if (scaled)
scores$importance <- scales::rescale(scores$importance)
scores
}
An example of using the step_importance function:
library(parsnip)
library(recipes)
library(magrittr)
# load the example iris dataset
data(iris)
# define a base model to use for feature importances
base_model <- rand_forest(mode = "classification") %>%
set_engine("ranger", importance = "permutation")
# create a preprocessing recipe
rec <- iris %>%
recipe(Species ~ .) %>%
step_select_vip(all_predictors(), model = base_model, top_p = 2,
outcome = "Species")
prepped <- prep(rec)
# create a model specification
clf <- decision_tree(mode = "classification") %>%
set_engine("rpart")
clf_fitted <- clf %>%
fit(Species ~ ., juice(prepped))


--- layout: page title: History Homepage ---
Over his 45-year career, Roger Ebert created a robust platform with which to advocate for the films that he loved.
Sundance Institute and the UCLA Film & Television Archive joined forces in 1997 to create the Sundance Institute Collection at UCLA.
Lorem ipsum dolor sit amet, consectetur adipiscing elit.
Highlights from the Festival included spotlights on Orson Welles and Ron Mann, an Australian independent cinema showcase, and panels on marketing documentaries, screenwriting, financing, and distribution. Notable films included Woody Allen’s Hannah and Her Sisters, Bill Sherwood’s Parting Glances, Lee Shapiro’s Nicaragua Was Our Home, and Ray Lawrence’s Bliss. Smooth Talk, directed by Joyce Chopra and starring Laura Dern and Treat Williams, won the Dramatic Grand Jury Prize
86 films were screened at two theatres in Park City. There were 13 people on staff.
Julianne Moore’s first Festival film was Safe in 1997 and she has returned many times since with films including Cookie’s Fortune (1999), Savage Grace (alongside Eddie Redmayne) in 2008, The Kids Are All Right (2010), and Don Jon’s Addiction (2013).
Reservoir Dogs, Pulp Fiction, Quentin Tarantino Presents Hell...
Director: Quentin Tarantino Screenwriter: Quentin Tarantino


Details
Attribute Weights
Cars of Interest
Get Similar Cars
Top N Cars
Analytical Models
Interaction Weights


This page describes the mechanisms that can be used to extend and modify query execution within ARQ. Through these mechanisms, ARQ can be used to query different graph implementations and to provide different query evaluation and optimization strategies for particular circumstances. These mechanisms are used by SDB and TDB.
ARQ can be extended in various ways to incorporate custom code into a query. Custom filter functions and property functions provide ways to add application specific code. The free text search capabilities, using Apache Lucene, are provided via a property function. Custom filter functions and property functions should be used where possible.
Jena itself can be extended by providing a new implementation of the
Graph
interface. This can be used to encapsulate specific
specialised storage and also for wrapping non-RDF sources to look like
RDF. Theer is a common implementation framework provided by
GraphBase
so only one operation, the find
method,
needs to be written for a read-only data source. Basic find works well
is many cases, and the whole Jena API will be able to use the extension.
For higher SPARQL performance, ARQ can be extended at the
basic graph matching or
algebra level.
Applications writers who extend ARQ at the query execution level should be prepared
to work with the source code for ARQ for specific details and for finding code to
reuse. Some example can be found in the src-examples
directory in the ARQ download.
The sequence of actions performed by ARQ to perform a query are parsing, algebra generation, execution building, high-level optimization, low-level optimization and finally evaluation. It is not usual to modify the parsing step nor the conversion from the parse tree to the algebra form, which is a fixed algorithm defined by the SPARQL standard. Extensions can modify the algebra form by transforming it from one algebra expression to another, including introducing new operators. See also the documentation on working with the SPARQL algebra in ARQ including building algebra expressions programmatically, rather than obtaining them from a query string.
The parsing step turns a query string into a Query
object. The class
Query
reprensets the abstract syntax tree
(AST) for the query and provides methods to create the AST, primarily for
use by the parser.
The query object also provides methods to serialize the query to a string. Because
this is the AST, the string produced is very close to the original query with the
same syntactic elements, but without comments, and formatted with a whitespace for readability.
It is not usually the best way to build a query programmatically and the AST is
not normally an extension point.
The query object can be used many times. It is not modified once created, and in particular it is not modified by query execution.
ARQ generates the SPARQL
algebra expression for the query. After this a number of transformations
can be applied (for example, identification of property functions) but the first
step is the application of the algorithm in the SPARQL specification for translating
a SPARQL query string, as held in a Query
object into a SPARQL algebra
expression. This includes the process of removing joins involving the identity pattern
(the empty graph pattern).
For example, the query:
PREFIX foaf: <http://xmlns.com/foaf/0.1/> SELECT ?name ?mbox ?nick WHERE { ?x foaf:name ?name ; foaf:mbox ?mbox . OPTIONAL { ?x foaf:nick ?nick } }
becomes
(prefix ((foaf: <http://xmlns.com/foaf/0.1/>)) (project (?name ?mbox ?nick) (leftjoin (bgp (triple ?x foaf:name ?name) (triple ?x foaf:mbox ?mbox) ) (bgp (triple ?x foaf:nick ?nick) ) )))
using the SSE syntax to write out the internal datastructure for the algebra.
The online SPARQL validator at sparql.org can be used to see the algebra expression for a SPARQL query.
There is a collection of transformations that can be applied to the algebra, such as replacing equality filters with a more efficient graph pattern and an assignment. When extending ARQ, a query processor for a custom storage layout can choose which optimizations are appropriate and can also provide its own algebra transformations.
A transform is code that converts an algebra operation into other algebra operations.
It is applied using the Transformer
class:
Op op = ... ; Transform someTransform = ... ; op = Transformer.transform(someTransform, op) ;
The Transformer
class applies the transform to each operation in the
algebra expression tree. Transform
itself is an interface, with one
method signature for each operation type, returning a replacement for the operator
instance it
is called on.
One such transformation is to turn a SPARQL algebra expression involving
named graphs and triples into one using quads. This transformation is
performed by a call to Algebra.toQuadForm
.
Transformations proceed from the bottom of the expression tree to the
top. Algebra expressions are best treated as immutable so a change made
in one part of the tree should result in a copy of the tree above it.
This is automated by the TransformCopy
class which is
the commonly used base class for writing transforms. The other helper
base class is TransformBase,
which provides the identify
operation (returns the node supplied) for each transform operation.
Operations can be printed out in SSE
syntax. The Java toString
method is overridden to provide pretty
printing and the static methods in WriterOp
provide output to various
output objects like java.io.OutputStream
.
The step of evaluating a query is the process of executing the algebra expression, as modified by any transformations applied, to yield a stream of pattern solutions. Low-level optimizations include choosing the order in which to evaluate basic graph patterns. These are the responsibility of the custom storage layer. Low-level optimization can be carried out dynamically as part of evaluation.
Internally, ARQ uses iterators extensively. Where possible, evaluation of an operation
is achieved by feeding the stream of results from the previous stage into the evaluation.
A common pattern is to take each intermediate result one at a time (use QueryIterRepeatApply
to be called for each binding) , substituting the variables of pattern with those
in the incoming binding, and evaluating to a query iterator of all results for this
incoming row. The result can be the empty iterator (one that always
returns false for hasNext
). It is also common to not have
to touch the incoming stream at all but merely to pass it to sub-operations.
The steps from algebra generation to query evaluation are carried out when a query
is executed via the QueryExecution.execSelect
or other QueryExecution
exec operation. It is possible to carry out storage-specific operations when the
query execution is created. A query engine works in conjunction with a
QueryExecution
created by the QueryExecutionFactory
to provide the evaluation of a query pattern. QueryExecutionBase
provides all the machinery for the different result types and does not
need to be modified by extensions to query execution.
ARQ provides three query engine factories; the main query engine factory, one for a reference query engine and one to remotely execute a query. SDB and TDB provide their own query engine factories which they register during sub-system initialization. Both extend the main query engine described below.
The reference query engine is a direct top-down evaluation of the expression. It's purpose is to be simple so it can be easily verified and checked then its results used to check more complicated processing in the main engine and other implementations. All arguments to each operator are fully evaluated to produce intermediate in-memory tables then a simple implementation of the operator is called to calculate the results. It does not scale and does not perform any optimizations. It is intended to be clear and simple; it is not designed to be efficient.
Query engines are chosen by referring to the registry of query engine factories.
public interface QueryEngineFactory { public boolean accept(Query query, DatasetGraph dataset, Context context) ; public Plan create(Query query, DatasetGraph dataset, Binding inputBinding, Context context) ; public boolean accept(Op op, DatasetGraph dataset, Context context) ; public Plan create(Op op, DatasetGraph dataset, Binding inputBinding, Context context) ; }
When the query execution factory is given a dataset and query, the query execution
factory tries each registered engine factory in turn calling the accept
method (for query of algebra depending on how it was presented). The registry is
kept in reverse registration order - the most recently registered query engine factory
is tried first. The first query engine factor to return true is chosen and no further
engine factories are checked.
When a query engine factory is chosen, the create
method is called
to return a Plan
object for the execution. The main operation of the
plan interface is to get the QueryIterator
for the query.
See the example in src-examples/arq.examples.engine.MyQueryEngine
.
The main query engine can execute any query. It contains a number of basic graph
pattern matching implementations including one that uses the Graph.find
operation so it can work with any implementation of the Jena Graph SPI. The main
query engine works with general purpose datasets but not quad stores directly; it
evaluates patterns on each graph in turn.
The main query engine includes optimizations for the standard Jena implementation
of in-memory graphs.
High-level optimization is performed by a sequence of transformations. This set of
optimizations is evolving. A custom implementation of a query engine can reuse some
or all of these transformations (see Algebra.optimize
which is the
set of transforms used by the main query engine).
The main query engine is a streaming engine. It evaluates expressions as the client
consumes each query solution.
After preparing the execution by creating the initial conditions (a partial solution
of one row and no bound variables or any initial bindings of variables), the main
query engine calls
QC.execute
which is the algorithm to execute a query. Any extension
that wished to reuse some of the main query engine by providing it's own OpExecutor
must call this method to evaluate a sub-operation.
QC.execute
finds the currently active OpExecutor
factory,
creates an OpExecutor
object and invokes it to evaluate one algebra
operation.
There are two points of extension for the main query engine:
OpExecutor
to execute any algebra operator specially.
The standard OpExecutor
invokes the stage generator mechanism to match
a basic graph pattern.
The correct point to hook into ARQ for just extending basic graph pattern matching
(BGPs) is to provide a custom StageGenerator
. (To hook into filtered
basic graph patterns, the extension will need to provide it's own OpExecutor
factory). The advantage of the StageGenerator
mechanism, as compared
to the more general OpExecutor
described below, is that it more self-contained
and requires less detail about the internal evaluation of the other SPARQL algebra
operators. This extension point corresponds to section 12.6 "Extending
SPARQL Basic Graph Matching".
Below is the default code to match a BGP from OpExecutor.execute(OpBGP, QueryIterator)
.
It merely calls fixed code in the StageBuilder
class.The input is a stream of results from earlier stages. The execution must return
a query iterator that is all the possible ways to match the basic graph pattern
for each of the inputs in turn. Order of results does not matter.
protected QueryIterator execute(OpBGP opBGP, QueryIterator input) { BasicPattern pattern = opBGP.getPattern() ; return StageBuilder.execute(pattern, input, execCxt) ; }
The StageBuilder
looks for the stage generator by accessing the context
for the execution:
StageGenerator stageGenerator = (StageGenerator)context.get(ARQ.stageGenerator) ;
where the context is the global context and any query execution specific additions together with various execution control elements.
A StageGenerator
is an implementation of:
public interface StageGenerator { public QueryIterator execute(BasicPattern pattern, QueryIterator input, ExecutionContext execCxt) ; }
An extension stage generator can be registered on a per-query execution basis or (more usually) in the global context.
StageBuilder.setGenerator(Context, StageGenerator)
The global context can be obtained by a call to ARQ.getContext()
StageBuilder.setGenerator(ARQ.getContext()
, myStageGenerator) ;
In order to allow an extensions to still permit other graphs to be used, stage generators are usually chained, with each new custom one passing the execution request up the chain if the request is not supported by this custom stage generator.
public class MyStageGenerator implements StageGenerator { StageGenerator above = null ; public MyStageGenerator (StageGenerator original) { above = original ; } @Override public QueryIterator execute(BasicPattern pattern, QueryIterator input, ExecutionContext execCxt) { Graph g = execCxt.getActiveGraph() ; // Test to see if this is a graph we support. if ( ! ( g instanceof MySpecialGraphClass ) ) // Not us - bounce up the StageGenerator chain return above.execute(pattern, input, execCxt) ; MySpecialGraphClass graph = (MySpecialGraphClass )g ; // Create a QueryIterator for this request ...
This is registered by setting the global context (StageBuilder
has
a convenience operation to do this):
// Get the standard one.
StageGenerator orig = (StageGenerator)ARQ.getContext().get(ARQ.stageGenerator) ;
// Create a new one
StageGenerator myStageGenerator= new MyStageGenerator(orig) ;
// Register it
StageBuilder.setGenerator(ARQ.getContext()
, myStageGenerator) ;
Example: src-examples/arq.examples.bgpmatching
.
A StageGenerator
provides matching for a basic graph pattern. If an
extension wishes to take responsibility for more of the evaluation then it needs
to work with OpExecutor
. This includes evaluation of filtered basic
graph patterns.
An example query using a filter:
PREFIX dc: <http://purl.org/dc/elements/1.1/> PREFIX books: <http://example.org/book/> SELECT * WHERE { ?book dc:title ?title . FILTER regex(?title, "Paddington") }
results in the algebra expression for the pattern:
(filter (regex ?title "Paddington") (bgp (triple ?book dc:title ?title) ))
showing that the filter is being applied to the results of a basic graph pattern matching.
Note: this is not the way to provide custom filter operations. See the documentation for application-provided filter functions.
Each step of evaluation in the main query engine is performed by a OpExecutor
and a new one is created from a factory at each step. The factory is registered
in the execution context. The implementation of a specialized OpExecutor
can inherit from the standard one and override only those algebra operators it wishes
to deal with, including inspecting the execution and choosing to passing up to the
super-class based on the details of the operation. From the query above, only
regex filters might be specially handled.
Registering an OpExecutorFactory
:
OpExecutorFactory customExecutorFactory = new MyOpExecutorFactory(...) ; QC.setFactory(ARQ.getCOntext(), customExecutorFactory) ;
QC is a point of indirection that chooses the execution process at each stage in
a query so if the custom execution wishes to evaluate an algebra operation within
another operation, it shoudl call QC.execute
. Be careful not to loop endlessly
if the operation is itself handled by the custom evaluator. This can be done by
swapping in a different OpExecutorFactory
.
// Execute an operation with a different OpExecution Factory // New context. ExecutionContext ec2 = new ExecutionContext(execCxt) ; ec2.setExecutor(plainFactory) ; QueryIterator qIter = QC.execute(op, input, ec2) ;
private static OpExecutorFactory plainFactory = new OpExecutorFactory() { @Override public OpExecutor create(ExecutionContext execCxt) { // The default OpExecutor of ARQ. return new OpExecutor(execCxt) ; } } ;
If a custom extension provides named graphs, then it may be useful to execute the
quad form of the query. This is done by writing a custom query engine and overriding
QueryEngineMain.modifyOp
:
@Override protected Op modifyOp(Op op) { // Cope with initial bindings. op = Substitute.substitute(op, initialInput) ; // Use standard optimizations. op = super.modifyOp(op) ; // Turn into quad form. op = Algebra.toQuadForm(op) ; return op ; }
The extension may need to provide its own dataset implementation so that it can detect when queries are directed to its named graph storage. SDB and TDB are examples of this.
The dataset implementation used in normal operation does not work on quads but instead
can provide a dataset with a collection of graphs each from different implementation
sub-systems. In-memory graphs can be mixed with database backed graphs as well as
custom storage systems. Query execution proceeds per-graph so that an custom OpExecutor
will need to test the graph to work with to make sure it is of the right class.
The pattern in the StageGenerator
extension point is an example of
design pattern in that situation.
A custom query engine enables an extension to choose which datasets it wishes to
handle. It also allows the extension to intercept query execution during the setup
of the execution so it can modify the algebra expression, introduce it's own algebra
extensions, choose which high-level optimizations to apply and also transform to
the expression into quad form. Execution can proceed with the normal algorithm or
a custom OpExecutor
or a custom Stage Generator or a combination of
all three extension mechanism.
Only a small, skeleton custom query engine is needed to intercept the initial setup.
See the example in src-examples/arq.examples.engine.MyQueryEngine
.
While it is possible to replace the entire process of query evaluation, this is
a substantial endeavour. QueryExecutionBase
provides the machinery
for result presentation (SELECT
, CONSTRUCT
,
DESCRIBE
, ASK
), leaving the work of
pattern evaluation to the custom query engine. QueryExecutionFactory
assumes that QueryExecutionBase
will be used.
New operators can be added to the algebra using the OpExt
class as
the super-class of the new operator. They can be inserted into the expression to
be evaluated using a custom query engine to intercept evaluation initialization.
When evaluation of a query requires the evaluation of a sub-class of OpExt
,
the eval
method is called. SDB uses this to introduce an operator that
is implemented in SQL.


Python Loops
In general, statements are executed sequentially: The first statement in a function is executed first, followed by the second, and so on. There may be a situation when you need to execute a block of code several number of times.
Programming languages provide various control structures that allow for more complicated execution paths.
A loop statement allows us to execute a statement or group of statements multiple times. The following diagram illustrates a loop statement −
Python programming language provides following types of loops to handle looping requirements.
| Sr.No. | Loop Type & Description |
|---|---|
| 1 | while loop
Repeats a statement or group of statements while a given condition is TRUE. It tests the condition before executing the loop body. |
| 2 | for loop
Executes a sequence of statements multiple times and abbreviates the code that manages the loop variable. |
| 3 | nested loops
You can use one or more loop inside any another while, for or do..while loop. |
Loop Control Statements
Loop control statements change execution from its normal sequence. When execution leaves a scope, all automatic objects that were created in that scope are destroyed.
Python supports the following control statements. Click the following links to check their detail.
| Sr.No. | Control Statement & Description |
|---|---|
| 1 | break statement
Terminates the loop statement and transfers execution to the statement immediately following the loop. |
| 2 | continue
statement
Causes the loop to skip the remainder of its body and immediately retest its condition prior to reiterating. |
| 3 | pass statement
The pass statement in Python is used when a statement is required syntactically but you do not want any command or code to execute. |


These are the prefixes to use according to the conventions:
| ch: | chapter |
| sec: | section |
| subsec: | subsection |
| fig: | *figure |
| tab: | *table |
| eq: | *equation |
| lst: | *code listing |
| itm: | list item |
| alg: | *algorithm |
| app: | *appendix subsection |
*these conventions are not (yet) included in the inspection