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--- layout: post title: Python script to clone itunes autofill feature for USB device date: 2013-01-27 19:25:43.000000000 +01:00 type: post published: true status: publish categories: - Coding tags: - itunes - music - programming - python - scripting - usb meta: _edit_last: '1' snapEdIT: '1' snapTW: 's:267:"a:1:{i:0;a:8:{s:13:"SNAPincludeTW";i:0;s:10:"SNAPformat";s:32:"Blogged: %TITLE% - %SURL% %CATS%";s:8:"attchImg";s:1:"0";s:11:"isPrePosted";s:1:"1";s:8:"isPosted";s:1:"1";s:4:"pgID";s:18:"295598636908285952";s:5:"pDate";s:19:"2013-01-27 18:26:21";s:4:"doTW";s:1:"0";}}";' snap_isAutoPosted: '1' dsq_thread_id: '1049848864' _wp_old_slug: python-eyed3-script-to-autofill-usb-with-mp snapDL: s:233:"a:1:{i:0;a:8:{s:13:"SNAPincludeDL";i:0;s:11:"SNAPformatT";s:7:"%TITLE%";s:10:"SNAPformat";s:6:"%TEXT%";s:11:"isPrePosted";s:1:"1";s:8:"isPosted";s:1:"1";s:4:"pgID";s:2:"DL";s:5:"pDate";s:19:"2013-01-27 18:26:15";s:4:"doDL";s:1:"0";}}"; snapFB: 's:299:"a:1:{i:0;a:9:{s:13:"SNAPincludeFB";i:0;s:8:"PostType";s:1:"A";s:10:"AttachPost";s:1:"1";s:10:"SNAPformat";s:25:"Blogged: %TITLE% - %SURL%";s:11:"isPrePosted";s:1:"1";s:8:"isPosted";s:1:"1";s:4:"pgID";s:31:"160267890674014_527170857317047";s:5:"pDate";s:19:"2013-01-27 18:26:20";s:4:"doFB";s:1:"0";}}";' _thumbnail_id: '2344' snapLI: 's:271:"a:1:{i:0;a:8:{s:13:"SNAPincludeLI";i:0;s:10:"AttachPost";s:1:"1";s:10:"SNAPformat";s:25:"Blogged: %TITLE% - %SURL%";s:11:"isPrePosted";s:1:"1";s:8:"isPosted";s:1:"1";s:4:"pgID";s:26:"Q2JWqfUn5G - Bob Belderbos";s:5:"pDate";s:19:"2013-01-27 18:26:21";s:4:"doLI";s:1:"0";}}";' author: login: bbWebdesign email<EMAIL_ADDRESS>display_name: Bob first_name: Bob last_name: Belderbos ---
I never thought I would autofill my iphone with music, but I recently tried it and I actually like it. You start to appreciate more types of music. In this post a python script to do the same thing for USB devices to listen to new music in my car.
It is funny how you limit yourself to a few albums/playlists over time, autofill breaks this habit. Now my daily music digest is much more variated. The autofill script is on github. It has become a bit longer than expected because I added more features.
With the required options (music lib path, destination dir path, max size of autofill), it just takes random songs. With the optional switches you can filter on genre and limit the song length. I use eyed3 to read the mp3 metadata. As it is expensive to run it against a lot of mp3 files, I dump its output to a file in json format. When using the -c option you can retrieve the metadata of your songs from this file. This makes it much faster and has the benefit (over a simple copy/paste script) that you can specify genres, etc.
Some useful things in Python:
By the way here are some other uses for your old USB drives
$ python music_autofill.py Mandatory option is missing: [path] Usage: music_autofill.py [options] Options: -h, --help show this help message and exit -p PATH, --path=PATH path to music lib -u USB, --usb=USB path to usb stick -s SIZE, --size=SIZE max size autofill in MB -g, --genres filter on genres -l LENGTH, --length=LENGTH max length of song in minutes -v, --verbose verbose switch -c, --caching dump music lib to json for fast retrieval
Without genres, using cache file:
$ python music_autofill.py -p "music_dir" -u ~/Desktop/tmp -s 1000 -c<PHONE_NUMBER> bytes reached, we're done! Successfully copied: 103 / failures upon copying: 0 Cache file music_dir/my_music_library.json was used - to run without caching, don't use the -c option - to refresh the cache, delete the mentioned file
With -g to specify genres:
$ python music_autofill.py -p "music_dir" -u /Volumes/USB\ DISK/ -g -s 200 -c provide genres to filter on, seperated by commas: brazilian beats, breaks, da bass, blues 209715200 bytes reached, we're done! Successfully copied: 36 / failures upon copying: 0 Cache file music_dir/my_music_library.json was used ..


kCal: {{ burger.kcal }}
price: {{ burger.price }} kr
no allergens!
Please order here
Give away! Favourite burger?? Win an iphone Moldy Joe Whale burger Mcnugget Kebnekaise Crispy Japaleno


Create an unordered list
- 6 2/3 ounces tuna packed in olive oil
- 3 cloves garlic, crushed
- 1 teaspoon anchovy paste
- 1 pinch dried oregano
- 1 pinch red pepper flakes, or more as needed
- 3 cups cream of tomato soup, not from concentrate
- 1/2 cup water
- type: circle
- type: circle
- type: square
- type: square


| Package | Description |
|---|---|
| org.elkoserver.foundation.boot |
Elko server startup and environment classes.
|
| org.elkoserver.foundation.net |
Classes for message communication over the TCP and HTTP for Elko.
|
| org.elkoserver.foundation.server |
Core common server implementation classes for Elko.
|
| org.elkoserver.foundation.server.metadata |
Metadata objects used in the management of Elko servers and communicated
between them.
|
| org.elkoserver.objdb |
The Elko Object Database.
|
| org.elkoserver.objdb.store |
Classes for implementing various Elko object store types.
|
| org.elkoserver.objdb.store.filestore |
A simple
ObjectStore implementation based on
a directory full of small text files. |
| org.elkoserver.objdb.store.mongostore |
An
ObjectStore implementation based on the
MongoDB NoSQL object database. |
| org.elkoserver.server.broker |
The Elko Broker.
|
| org.elkoserver.server.context |
The Elko Context Server.
|
| org.elkoserver.server.director |
The Elko Director.
|
| org.elkoserver.server.gatekeeper |
The Elko Gatekeeper.
|
| org.elkoserver.server.presence |
The Elko Presence Server.
|
| org.elkoserver.server.repository |
The Elko Repository.
|
| org.elkoserver.server.workshop |
The Elko Workshop Server.
|
| Class and Description |
|---|
| BootProperties
Enhanced version of the Java
Properties class that knows how to pull
properties settings out of the command line and also provides a friendlier
interface to the values of the properties settings themselves. |
| Class and Description |
|---|
| BootProperties
Enhanced version of the Java
Properties class that knows how to pull
properties settings out of the command line and also provides a friendlier
interface to the values of the properties settings themselves. |
| Class and Description |
|---|
| BootProperties
Enhanced version of the Java
Properties class that knows how to pull
properties settings out of the command line and also provides a friendlier
interface to the values of the properties settings themselves. |
| Class and Description |
|---|
| BootProperties
Enhanced version of the Java
Properties class that knows how to pull
properties settings out of the command line and also provides a friendlier
interface to the values of the properties settings themselves. |
| Class and Description |
|---|
| BootProperties
Enhanced version of the Java
Properties class that knows how to pull
properties settings out of the command line and also provides a friendlier
interface to the values of the properties settings themselves. |
| Class and Description |
|---|
| BootProperties
Enhanced version of the Java
Properties class that knows how to pull
properties settings out of the command line and also provides a friendlier
interface to the values of the properties settings themselves. |
| Class and Description |
|---|
| BootProperties
Enhanced version of the Java
Properties class that knows how to pull
properties settings out of the command line and also provides a friendlier
interface to the values of the properties settings themselves. |
| Class and Description |
|---|
| BootProperties
Enhanced version of the Java
Properties class that knows how to pull
properties settings out of the command line and also provides a friendlier
interface to the values of the properties settings themselves. |
| Class and Description |
|---|
| Bootable
Interface to be implemented by application classes that want to be launched
by
Boot . |
| BootProperties
Enhanced version of the Java
Properties class that knows how to pull
properties settings out of the command line and also provides a friendlier
interface to the values of the properties settings themselves. |
| Class and Description |
|---|
| Bootable
Interface to be implemented by application classes that want to be launched
by
Boot . |
| BootProperties
Enhanced version of the Java
Properties class that knows how to pull
properties settings out of the command line and also provides a friendlier
interface to the values of the properties settings themselves. |
| Class and Description |
|---|
| Bootable
Interface to be implemented by application classes that want to be launched
by
Boot . |
| BootProperties
Enhanced version of the Java
Properties class that knows how to pull
properties settings out of the command line and also provides a friendlier
interface to the values of the properties settings themselves. |
| Class and Description |
|---|
| Bootable
Interface to be implemented by application classes that want to be launched
by
Boot . |
| BootProperties
Enhanced version of the Java
Properties class that knows how to pull
properties settings out of the command line and also provides a friendlier
interface to the values of the properties settings themselves. |
| Class and Description |
|---|
| Bootable
Interface to be implemented by application classes that want to be launched
by
Boot . |
| BootProperties
Enhanced version of the Java
Properties class that knows how to pull
properties settings out of the command line and also provides a friendlier
interface to the values of the properties settings themselves. |
| Class and Description |
|---|
| Bootable
Interface to be implemented by application classes that want to be launched
by
Boot . |
| BootProperties
Enhanced version of the Java
Properties class that knows how to pull
properties settings out of the command line and also provides a friendlier
interface to the values of the properties settings themselves. |
| Class and Description |
|---|
| Bootable
Interface to be implemented by application classes that want to be launched
by
Boot . |
| BootProperties
Enhanced version of the Java
Properties class that knows how to pull
properties settings out of the command line and also provides a friendlier
interface to the values of the properties settings themselves. |
Copyright © 2017. All rights reserved.


config.py¶
This module configures the snowballing.
Please, use the database __init__ to replace these configurations.
-
WEB_DRIVER
()¶
-
check_insertion
(nwork, info, citation_var, citation_file, should_add, ref='')[source]¶ Check info validity after executing snowballing.create_info_code Return dictionary of warning fields
Default: returns place1 if place is not defined and always returns the pdf name
-
convert_citation_text_lines_to_info
(text)[source]¶ Convert lines of format [N] author name place other year’ to Info object If it is an invalid format, it should return “Incomplete”.
- Default: Recognizes 3 patterns:
- Citation: [N] > varname
- Site: [N] SiteName http://
- Work: [N] author name place other year - ‘other’ can be either lines with values, or use the format key=value
-
get_alias_year
(work, alias)[source]¶ Get year from alias
Default: return first element of tuple/list that represents the alias
-
get_work_aliases
(work)[source]¶ Get list of aliases from work
Default: the tool uses the attributes “alias” and “aliases” to represent aliases
-
graph_place_tooltip
(work)[source]¶ Generate place tooltip
Default: tooltip with all information from Place object
-
info_work_match
(info, work)[source]¶ Check if an Info object matches to a Work object
- Default: checks for exact matches by cluster_id, scholar_id, (year, name, authors) of aliases
- and similar titles It uses matches on places and years to reduce the similarity requirements for matching titles
-
work_link
(work)[source]¶ Create hyperlink based on work attributes. The attribute _link is set by the graph creator and it specifies the priority order of link types
Default: uses attributes file, link, or scholar to create link


interface CipherSchemeMetadataProvider
Factory to create new instances of the cipher scheme map service.
name |
The name used to resolve current provider by crypto library factory. abstract val name: String |
create |
Creates an instance of the CipherSchemeMetadata. abstract fun create(): CipherSchemeMetadata |


All students and teachers will be provided with information and access to all activities at UOW, regardless of campus.
Activities offered include official school-organized events, events sponsored by company sponsors, and events requested by student groups.
Register - Log in
Free to visit
You can visit all the events as a tourist.
Log in before booking
If you want to book the event you like, you should log in first.
Visit various events
Study Events
Reading exchange meeting
Topic discussion meeting
New bookmark sales meeting and so on
Learning is always making people happy!
Life Events
Want a special concert？
Or a big football match?
Enjoy your study, enjoy your life!
Party Events
Any Possible Theme!
Just PARTY! PARTY! PARTY!
Apply your event
Select an event for the active state
Only ACTIVE state is available!
The event in preparation will be previewed!
Apply the event you choose
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We will inform you as soon as possible
If the application is approved, you can directly participate in the event.
If the application is refused, we will tell you the reason and recommend similar events!
+61 8888 888 888
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mail@uow.edu.au


For operations where the percentage of the operation completed can be determined, use a determinate indicator. They give users a quick sense of how long an operation will take.
For operations where the user is asked to wait a moment while something finishes up, and it's not necessary to expose what's happening behind the scenes and how long it will take, use an indeterminate indicator:
For operations where the user wants to indicate some activity or loading from the server, use the buffer indicator:
For situations where the user wants to indicate pre-loading (until the loading can actually be made), use the query indicator:
Query and Buffer progress linear indicators:


Back
Console
Refresh
Food remaining
Water storage
Add Water
Add Food
Notification Center
Current amount of food left in the bowl
please refresh
Current amount of water left in the bowl
please refresh
Current temperature & humidity
please refresh


Setup Instructions
Required Software - Install This First
Lab Setup
Cypress Instructions
Flappy bird
Flappy Bird
Labs List
Lab 1
Lab 2
Lab 3
Lab 4
Lab 5
Lab 6
Lab 7
Lab 8
Lab 9
Lab 10
Assignment 1
Assignment 2
Assignments List
Pairs - HTML/CSS
Pairs/Small Groups - Using JS To Communicate Between Page Elements


## A Demanded Behavior Typical gesture, and expected feature, the **drag and drop** behavior has been abstracted into a dedicated _webcomponent_ in **Pacem JS** ecosystem. The `PacemDragDropElement` provides drag and drop capabilities in an attachable way: ```html <pacem-drag-drop id="dnd"></pacem-drag-drop> <!-- reference the drag-drop element by including it among the attached behaviors --> <pacem-panel behaviors="{{ [#dnd] }}"></pacem-panel> ``` The default behavior simply moves the element around:
## Drop Targets More common _use-cases_ involve **sorting items** and **moving items** towards specific "containers". The `<pacem-drag-drop>` component manages these scenarios as well. ## Sorting By targeting the parent element and specifying the `Pacem.UI.DropBehavior.InsertChild` (which equals `'insert'`), the sorting behavior is ready to go: > Always set the drag data **mode** to `Pacem.UI.DragDataMode.Alias` when dropBehavior is **not** `Pacem.UI.DropBehavior.None`.
## Swapping By targeting other elements and specifying the `Pacem.UI.DropBehavior.InsertChild`, the swapping behavior is ready to go. By setting the drag data **mode** to `Pacem.UI.DragDataMode.Copy` the drag source element "spawns" clones of itself.
## Virtual Sorting and Swapping There's a tight relation between the `PacemDragDropElement` and the `PacemRepeaterElement`: if the dragged element is in fact a repeater item, the sorting or swapping gestures reflect themselves onto the original repeater **datasources**! This is very convenient since most _use-cases_ involve dynamic data, thus repeater-rendered lists! (Please, refer to the demo on top of this page to see how/that it works.)
## Drag Handle By specifying a css query selector for the `handle-selector` attribute of the `<pacem-drop-drop>` element, the drag-start event gets constrained to be triggered by the first matching descendant of the dragged element. (Please, refer to the demo on top of this page to see how/that it works.)
## Events Several events are triggered along the drag-and-drop lifecycle. Types are listed here: - `draginit`: the elements receives the lock and it is ready for dragging. - `dragstart`: first moving act registered on the dragged element. - `drag`: any dragging act (including the first one). - `dragover`: fires when, while dragging, the cursor enters a drop target. - `dragout`: fires when, while dragging, the cursor leaves a drop target. - `drop`: dropping act, fires when releasing the object on top of a target. - `dragend`: fires when the dragging act ceases. > On **draginit** a custom placeholder can be instantiated and set to the event arguments. This action will prevent further assumptions about the placeholder creation. Customizing the placeholder allows to decouple the source element from the target one (specially useful in swapping/spawning scenarios, see [example](#swapping) above). All these events have type `Pacem.UI.PacemDragDropEvent`, whose properties are: - `type`: see list above. - `element`: the physically or virtually dragged element. - `placeholder`: the placeholder element showed in the current drop zone. - `floater`: the physically dragged element. Add `drag-floater-resize` css-class to force its size to match the original element. - `data`: the dragged data. May be the repeater item or the element dataset. - `currentPosition`: the current cursor position.


Date methods let you get and set date values (years, months, days, hours, minutes, seconds, milliseconds)
Get methods are used for getting a part of a date. Here are the most common (alphabetically): getDate(), getDay(), getFullYear(), getHours(), getMilliseconds(), getMinutes(), getMonth(), getSeconds() and getTime().
The internal clock in JavaScript starts at midnight January 1, 1970.
The getTime() function returns the number of milliseconds since then:
The getFullYear() method returns the full year of a date:
The getDay() method returns the weekday as a number:
In JavaScript, the first day of the week (0) means "Sunday", even if some countries in the world consider the first day of the week to be "Monday".
You can use an array to display the name of the weekday:


Introduction
"GetA2DVolts.exe" is an example program that reads 1-Wire A2D
channels and outputs the voltages to a text box. Not all 1-Wire A2D
devices are covered by this application, just those that have a
OneWireContainer in the API that implement the A2DContainer interface.
This particular example was written in Microsoft Visual Basic .NET through
Visual Studio .NET 2005.
Requirements
1-Wire
Drivers version 4.00 or higher, with the OneWireAPI.NET.dll in the
same directory as the executable.
.NET Framework 2.0 Redistributable:
Visual J# .NET 2.0 Second Edition Redistributable:
When compiling this program, make sure that the program references
“vjslib”, and the OneWireAPI.NET.dll.
Before running this program, make sure to set the default 1-Wire adapter settings to the preferred type (usually "{DS9490}") and number (usually "USB1"). This can be done by running the "Default 1-Wire NET.exe" program found in the 1-Wire Drivers application directory.
Operation
To run the
GetA2DVolts.vbs script, you have 2 options:
1) Double-click the file. Windows Message Boxes will display
the results.
2) From a command prompt, run it by typing in "cscript
GetA2DVolts.vbs"
followed by a return.
Files
AssemblyInfo.vb
-
VB.NET module containing manufacturer data
GetA2DVolts.sln
- Visual Studio .NET solutions file
GetA2DVolts.vbproj -
VB.NET project file
GetA2DVolts.vbproj.user -
VB.NET project user file
GetA2DVolts.resx
- VB.NET resources file
GetA2DVolts.vb
- VB module containing source to program
Readme.html
-
This file.
..\..\..\..\Lib\OW.NET\OneWireAPI.NET.dll - 1-Wire API
..\bin\GetA2DVolts.exe
- Program executable.


PLANET SICK-BOY: http://www.sick-boy.com
It's hard to effectively rate a movie like The Phantom Menace. If you compare it to its previous three films, it comes up a bit short. If the first three films were never made, viewers would likely be as floored as they were when the first Star Wars film was released over twenty years ago. Was I disappointed? A little. Am I going to see it again? Yes. Two more times? Probably.
Taking place about forty years before the beginning trilogy (Star Wars, The Empire Strikes Back and Return of the Jedi), Menace shares only a few characters familiar with audiences. Yoda (voiced by Frank Oz) is back and appears to have less ear hair. A much younger Obi-Wan Kenobi (Ewan McGregor, Trainspotting) plays a limited role, but promises to be a much bigger force in the next two installments, due in 2002 and 2005. But, most importantly, a very young innocent named Anakin Skywalker (Jake Lloyd, Jingle All the Way) – soon to become the enigmatic Darth Vader, as well as the father of Luke and Leia – is discovered by Jedi Master Qui-Gon Jinn (Liam Neeson, Les Miserables).
Menace seems like more of a set piece for Episodes Two and Three of George Lucas' current trilogy. This is the first film Lucas has directed since the first Star Wars film – and it shows. Acting and story take a back seat to the special effects, which are nothing short of goddamned unbelievable. The script offers too many flat one-liners and jokes geared to pre-school-aged kids. And don't get me started on the Muppets and computer-generated characters. The worst is Jar Jar Binks, a horrible Roger Rabbit knock-off that is immediately hated by anyone without either a diaper or a pocket-protector. (2:11 – PG for violence and the possible implication that Qui-Gon banged Anakin's slave mother, Shmi)
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


The databases that are available for searching are organized into several groups for ease of use:
| Database name | Database type | Description |
|---|---|---|
| Lotus japonicus Gifu mRNA | Nucleotide | De novo assembled transcript contigs from Illumina non-directional mRNA-seq data. 58,527 sequences; 40,650,058 total letters. |
| Lotus japonicus MG20 Illumina- and Sanger-based assembly | Nucleotide | The program PCAP.rep was used to assemble Illumina contigs (LotusK31ver2GC_illumina_contigs) with the Sanger shotgun data (LjSGA). |
| Lotus japonicus MG20 PacBio contigs | Nucleotide | .ctg are the high confidence contigs. PacBio is a sequencing technology that generates long (up to 10 kb) but error-prone (up to 20%) reads. The PacBio reads have been corrected using Illumina data prior to contig assembly. |
| Lotus japonicus MG20 PacBio unitigs | Nucleotide | .utg are all the assembled PacBio contigs (unitigs). PacBio is a sequencing technology that generates long (up to 10 kb) but error-prone (up to 20%) reads. The PacBio reads have been corrected using Illumina data prior to contig assembly. |
| Lotus japonicus MG20 mRNA | Nucleotide | De novo assembled transcript contigs from Illumina non-directional mRNA-seq data. 57,916 sequences; 39,463,161 total letters. |
| Lotus japonicus MG20 raw Illumina-based assembly | Nucleotide | Genomic MG20 contigs assembled using SOAP de novo based on four Illumina libraries with different insert sizes. Raw and uncurated assembly. Contigs may overlap. 904,251 sequences; 439,303,697 total letters. |
| Lotus japonicus MG20 v3.0 CDS | Nucleotide | CDS library of Lotus japonicus MG20. 50,599 sequences; 45,983,720 total letters. |
| Lotus japonicus MG20 v3.0 cDNA | Nucleotide | cDNA library of Lotus japonicus MG20. 98,043 sequences; 108,691,465 total letters. |
| Lotus japonicus MG20 genome v2.4 | Nucleotide | Lotus genome release 2.4. This is the genome version that matches the Apollo browser GFF files in the folder "-Apollo favourite genes/2010_09_06_GFF" on the commom server. According to Shusei, there should only be minor changes to the coordinates on a part of chr5 between version 2.4 and 2.5. There are large differences with respect to the annotation between the two versions due to removal of a lot of retro-element-related sequence annotation in v2.5. |
| Lotus japonicus MG20 genome v2.5 | Nucleotide | Lotus genome release 2.5, only sequences anchored on chromosomes, including chr0 long contigs with unknown position and the chloroplast sequence. 8 sequences; 301,492,348 total letters. |
| Lotus japonicus MG20 genome v2.5 + LjSGA | Nucleotide | As lj_r25 but including also all the short sanger shotgun contigs (LjSGAs), which are not anchored on chromosomes. 67,748 sequences; 397,315,927 total letters. |
| Lotus japonicus MG20 genome v2.8 | Nucleotide | Lotus genome pre-release 2.8. This is not an official release but the current state of the new Lotus genome assembly. Overlaps between contigs still need to be checked, and the coordinates will not match the version to be published. Contains only sequences anchored on the six Lotus chromosomes. 6 sequences; 295,202,327 total letters. |
| Lotus japonicus MG20 genome v3.0 | Nucleotide | Version 3.0 of the Lotus genome including chr0 with unanchored contigs, chr1‐6, chloroplast and mitochondrion sequences. 9 sequences; 447,516,816 total letters. |
| Lotus japonicus probes | Nucleotide | The probes used to generate the LjGEA dataset. The naming nomenclature for these probes‐when ending with…
|
| Ramularia collo-cygni DK05 contigs | Nucleotide | Contig library of Ramularia collo-cygni from batch DK05. |
| DeepSAGE tag sequences | Nucleotide | Transcript contigs from L. japonicus Gene index 6.0. These TCs were used for annotation of tags from the DeepSAGE experiment. 43,180 sequences; 30,997,719 total letters. |
| KAW12 scaffolds | Nucleotide | Genome sequence of the KAW endophyte worked on by Simona and Rafal. 7 sequences; 7,876,853 total letters. |
| KAW12 translations | Nucleotide | Amino acid sequence of the endophyte Rhizobium KAW12 genome. 7574 sequences; 2,292,824 total letters. |
| Lotus japonicus MG20 v3.0 Proteins | Protein | Protein library of Lotus japonicus MG20. 50,599 sequences; 15,289,260 total letters. |


Eternal Faith
In the 23th Century, the highly developed technology had been completely indivisible with people's life,
but the world's largest technology company, NJJC, thought that humans had become the most terrible thing
on the earth, and in order to carry out race selection, NJJC tried to invent a virus, COVI-bola.
However, out of his expection, the virus, which is highly contagious and had an extremely high
mortality, would instantly turn the prosperous earth into a purgatory
However, it was found that the Wei Ze pass didn't suffer from the global disaster. Five surviving
extraordinary young men formed the Sirius team and decided to go to that mysterious land to look for the
antidote. In the Wei Ze pass, they found an ancient tomb detector, which may had the clue of the
antidote. The murals of the tomb showed the glory of its owner's life, but only ended with a vague
charactor "Zhao".


--- layout: default ---
ArtFaceApp is a final project for CS50 Harvard course "Introduction to Computer Science".
This project is a website that allows you to upload a photo of a person's face and learn about the decade of the twentieth century (1910-2000), in which this person would be in fashion, based on the similarities with the famous people of this decade. This information is used to process the uploaded photo in the style of artists and photographers of that decade.
This project allows you to learn more about the art of the twentieth century and popular people of that time, and also perhaps learn something more about yourself. From a technical point of view, the project is interesting because it uses computer vision techniques for face comparison and convolutional neural networks for image style transfer.


public class TDoubleHashSetAndArray
extends gnu.trove.impl.hash.TDoubleHash
implements gnu.trove.set.TDoubleSet, java.io.Externalizable
| Constructor and Description |
|---|
TDoubleHashSetAndArray()
Creates a new
TDoubleHashSet instance with the default
capacity and load factor. |
TDoubleHashSetAndArray(java.util.Collection<? extends java.lang.Double> collection)
Creates a new
TDoubleHashSet instance that is a copy
of the existing Collection. |
TDoubleHashSetAndArray(double[] array)
Creates a new
TDoubleHashSet instance containing the
elements of array. |
TDoubleHashSetAndArray(int initialCapacity)
Creates a new
TDoubleHashSet instance with a prime
capacity equal to or greater than initialCapacity and
with the default load factor. |
TDoubleHashSetAndArray(int initialCapacity,
float load_factor)
Creates a new
TIntHash instance with a prime
value at or near the specified capacity and load factor. |
TDoubleHashSetAndArray(int initial_capacity,
float load_factor,
double no_entry_value)
Creates a new
TDoubleHashSet instance with a prime
capacity equal to or greater than initial_capacity and
with the specified load factor. |
TDoubleHashSetAndArray(gnu.trove.TDoubleCollection collection)
Creates a new
TDoubleHashSet instance that is a copy
of the existing set. |
| Modifier and Type | Method and Description |
|---|---|
boolean |
add(double val)
bartMachine: we also add the value to the array
|
boolean |
addAll(java.util.Collection<? extends java.lang.Double> collection) |
boolean |
addAll(double[] array) |
boolean |
addAll(gnu.trove.TDoubleCollection collection) |
void |
clear() |
boolean |
containsAll(java.util.Collection<?> collection) |
boolean |
containsAll(double[] array) |
boolean |
containsAll(gnu.trove.TDoubleCollection collection) |
boolean |
equals(java.lang.Object other) |
double |
getAtIndex(int index)
bartMachine: we get the value at an index in the array
|
int |
hashCode() |
gnu.trove.iterator.TDoubleIterator |
iterator() |
void |
readExternal(java.io.ObjectInput in) |
boolean |
remove(double val)
bartMachine: we also remove the value in the array
|
boolean |
removeAll(java.util.Collection<?> collection) |
boolean |
removeAll(double[] array) |
boolean |
removeAll(gnu.trove.TDoubleCollection collection) |
boolean |
retainAll(java.util.Collection<?> collection) |
boolean |
retainAll(double[] array) |
boolean |
retainAll(gnu.trove.TDoubleCollection collection) |
int |
size()
Returns the number of distinct elements in this collection.
|
double[] |
toArray()
bartMachine: we send this object back as an array
|
double[] |
toArray(double[] dest) |
java.lang.String |
toString() |
void |
writeExternal(java.io.ObjectOutput out) |
public TDoubleHashSetAndArray()
TDoubleHashSet
instance with the default
capacity and load factor.public TDoubleHashSetAndArray(int initialCapacity)
TDoubleHashSet
instance with a prime
capacity equal to or greater than initialCapacity and
with the default load factor.initialCapacity
- an int
valuepublic TDoubleHashSetAndArray(int initialCapacity, float load_factor)
TIntHash
instance with a prime
value at or near the specified capacity and load factor.initialCapacity
- used to find a prime capacity for the table.load_factor
- used to calculate the threshold over which
rehashing takes place.public TDoubleHashSetAndArray(int initial_capacity, float load_factor, double no_entry_value)
TDoubleHashSet
instance with a prime
capacity equal to or greater than initial_capacity and
with the specified load factor.initial_capacity
- an int
valueload_factor
- a float
valueno_entry_value
- a double
value that represents null.public TDoubleHashSetAndArray(java.util.Collection<? extends java.lang.Double> collection)
TDoubleHashSet
instance that is a copy
of the existing Collection.collection
- a Collection that will be duplicated.public TDoubleHashSetAndArray(gnu.trove.TDoubleCollection collection)
TDoubleHashSet
instance that is a copy
of the existing set.collection
- a TDoubleSet that will be duplicated.public TDoubleHashSetAndArray(double[] array)
TDoubleHashSet
instance containing the
elements of array. bartMachine: we also instantiate a
TDoubleArrayList
along with the TDoubleHashSet
.array
- an array of double
primitivespublic gnu.trove.iterator.TDoubleIterator iterator()
iterator
in interface gnu.trove.set.TDoubleSet
iterator
in interface gnu.trove.TDoubleCollection
public double[] toArray(double[] dest)
toArray
in interface gnu.trove.set.TDoubleSet
toArray
in interface gnu.trove.TDoubleCollection
public boolean add(double val)
add
in interface gnu.trove.set.TDoubleSet
add
in interface gnu.trove.TDoubleCollection
public double[] toArray()
toArray
in interface gnu.trove.set.TDoubleSet
toArray
in interface gnu.trove.TDoubleCollection
public double getAtIndex(int index)
public int size()
size
in interface gnu.trove.set.TDoubleSet
size
in interface gnu.trove.TDoubleCollection
size
in class gnu.trove.impl.hash.THash
int
valuepublic boolean remove(double val)
remove
in interface gnu.trove.set.TDoubleSet
remove
in interface gnu.trove.TDoubleCollection
public boolean containsAll(java.util.Collection<?> collection)
containsAll
in interface gnu.trove.set.TDoubleSet
containsAll
in interface gnu.trove.TDoubleCollection
public boolean containsAll(gnu.trove.TDoubleCollection collection)
containsAll
in interface gnu.trove.set.TDoubleSet
containsAll
in interface gnu.trove.TDoubleCollection
public boolean containsAll(double[] array)
containsAll
in interface gnu.trove.set.TDoubleSet
containsAll
in interface gnu.trove.TDoubleCollection
public boolean addAll(java.util.Collection<? extends java.lang.Double> collection)
addAll
in interface gnu.trove.set.TDoubleSet
addAll
in interface gnu.trove.TDoubleCollection
public boolean addAll(gnu.trove.TDoubleCollection collection)
addAll
in interface gnu.trove.set.TDoubleSet
addAll
in interface gnu.trove.TDoubleCollection
public boolean addAll(double[] array)
addAll
in interface gnu.trove.set.TDoubleSet
addAll
in interface gnu.trove.TDoubleCollection
public boolean retainAll(java.util.Collection<?> collection)
retainAll
in interface gnu.trove.set.TDoubleSet
retainAll
in interface gnu.trove.TDoubleCollection
public boolean retainAll(gnu.trove.TDoubleCollection collection)
retainAll
in interface gnu.trove.set.TDoubleSet
retainAll
in interface gnu.trove.TDoubleCollection
public boolean retainAll(double[] array)
retainAll
in interface gnu.trove.set.TDoubleSet
retainAll
in interface gnu.trove.TDoubleCollection
public boolean removeAll(java.util.Collection<?> collection)
removeAll
in interface gnu.trove.set.TDoubleSet
removeAll
in interface gnu.trove.TDoubleCollection
public boolean removeAll(gnu.trove.TDoubleCollection collection)
removeAll
in interface gnu.trove.set.TDoubleSet
removeAll
in interface gnu.trove.TDoubleCollection
public boolean removeAll(double[] array)
removeAll
in interface gnu.trove.set.TDoubleSet
removeAll
in interface gnu.trove.TDoubleCollection
public void clear()
clear
in interface gnu.trove.set.TDoubleSet
clear
in interface gnu.trove.TDoubleCollection
clear
in class gnu.trove.impl.hash.THash
public boolean equals(java.lang.Object other)
equals
in interface gnu.trove.set.TDoubleSet
equals
in interface gnu.trove.TDoubleCollection
equals
in class java.lang.Object
public int hashCode()
hashCode
in interface gnu.trove.set.TDoubleSet
hashCode
in interface gnu.trove.TDoubleCollection
hashCode
in class java.lang.Object
public java.lang.String toString()
toString
in class java.lang.Object
public void writeExternal(java.io.ObjectOutput out) throws java.io.IOException
writeExternal
in interface java.io.Externalizable
writeExternal
in class gnu.trove.impl.hash.THash
java.io.IOException
public void readExternal(java.io.ObjectInput in) throws java.io.IOException, java.lang.ClassNotFoundException
readExternal
in interface java.io.Externalizable
readExternal
in class gnu.trove.impl.hash.THash
java.io.IOException
java.lang.ClassNotFoundException


test compiled and minified CSS -->
AudioContext states demo
Create context
Suspend context
Stop context
Current context time: No context exists.


This document explains a more controlled installation procedure for Lean and mathlib on MacOS. There is a quicker way described in the main install page but it requires more trust. Of course you can get even more details about what is going on by reading the bash script that will be downloaded below: elan_init.
If you get stuck, please come to the chat room to ask for assistance.
We'll need to set up Lean, an editor that knows about Lean, and mathlib
(the standard library).
Rather than installing Lean directly, we'll install a small program called elan
which
automatically provides the correct version of Lean on a per-project basis. This is recommended for
all users.
elan
#We'll need a terminal, along with some basic prerequisites.
Install homebrew, then run brew install gmp coreutils
in a terminal
(gmp
is required by lean
, coreutils
by leanpkg
).
At a terminal, run the command
curl https://raw.githubusercontent.com/Kha/elan/master/elan-init.sh -sSf | sh
and hit enter when a question is asked.
It is recommended that you re-login, so that your environment knows about elan
.
(Alternatively, type source $HOME/.elan/env
to update the current terminal.)
At a terminal, run the command
brew install python3 pipx
pipx ensurepath
pipx install mathlibtools
This will install tools that, amongst other things, let you download compiled binaries for mathlib.
There are two editors you can use with Lean, VS Code and emacs. This document describes using VS Code (for emacs, look at https://github.com/leanprover/lean-mode).
leanprover
.test.lean
and entering #eval 1+1
.
A green line should appear underneath #eval 1+1
, and hovering the mouse over it you should see 2
displayed.You can now read instructions about creating and working on Lean projects


My report page in the course DA377B
This is my report-page in the course. This page contains a presentation of myself. Keep this site updated all through the course and hand it in, for grading, in the end of the course.
So, a presentation might be in order. I'll begin.
My name is Rasmus Olsson, born and raised in Osby, Skåne, 40 min away from kristianstad. I liked to play fotball when i was younger but stopped at 18 years old.
computers has always been an interest of mine, ever since I was 7 years old. This led to me specializing in IT in upper secondary school and led to more studies here at HKR


Target Audience
The targeted audience for this website is a very wide audience ranging from young adults to elderly. Specifically to the local areas in which the weather is being forcasted. Incomes include all poverty level up to upper-class citizens. The audience includes all categories of marital status, education level, etc. All demographics are targeted.
Persona 1
Landon Q. Reynolds
- Age: 25
- Income: $30,000 yearly
- Education: Some college
- Experience: Consists of checking the local weather on mobile device. Occasionally viewing the weather on television.
- Marital Status: Single
- How, When, and Where accessing site: Landon checks the weather first thing every morning on his mobile device in hopes that it is cool enough to wear his scarf from France, although at times it makes people quesiton his sexuality.
Persona 2
Janet Palmer
- Age: 47
- Income: $230,000 yearly
- Education: Bachelors Degree
- Experience: Experience consists of Janet checking the weather on her computer in the morning before she starts working.
- Marital Status: Married
- How, When, and Where accessing site: Janet checks the weather each morning before starting her work-at-home job each day. She is able to stop working at noon, so she wishes to be able to make it out to tend her garden once she is finished, and then head up the mountain for an evening hike.
Possible Scenarios
Scenario 1
Is the weather looking favorable for hiking in my local area this evening?
Scenario 2
Is the weather today going to be cold enough to wear my scarf from France?
Senario 3
What is the weather going to be like this Conference sunday? Should I prepare to feed my guests dinner in the backyard, or pull out more tables in my dining area?
Scenario 4
Where do I email this picture I took of the beautiful rainbow after the rainstorm yesterday?
Scenario 5
Where do I email this video of the flood on my street during the rainstorm?


WATCH: World War II veteran Pete DuPré, 96, wows NBA fans with harmonica version of national anthem
by Michelle Ewing, Cox Media Group National Content DeskNEW YORK - A World War II veteran's moving version of the national anthem is again going viral.
According to WXXI, Pete DuPré, 96, captivated NBA fans with his harmonica rendition of "The Star Spangled Banner" on Sunday before the New York Knicks faced the Cleveland Cavaliers at Madison Square Garden.
ESPN tweeted a clip of the performance, which came one day before Veterans Day. By 8 a.m. Monday, the video had been viewed more than 500,000 times.
This isn't the first time DuPré's take on the national anthem has made headlines; he also wowed spectators before a Minnesota Vikings game in September and a women's soccer match in May, among others.


Qualified teacher status
Email<EMAIL_ADDRESS>Telephone 0207 593 5394
Opening hours: Monday to Friday 9am to 5pm, excluding UK bank holidays.
Guidance
Find out how to obtain qualified teacher status (QTS) to teach in a maintained school or non-maintained special school in England.
You must have qualified teacher status ( QTS ) to take up a teaching post in England in a:
Maintained schools form part of the state-funded schools system in England (including primary, secondary and special schools for pupils with special educational needs). In maintained schools funding and oversight is generally through the local authority. They make up the majority of schools in England and are mostly either community schools or voluntary controlled schools (where the local authority employs the school’s staff and is responsible for admissions) or foundation and voluntary aided schools, where the school’s governing body employs the staff and has responsibility for admissions.
The National College for Teaching and Leadership ( NCTL ) is the competent authority in England for the teaching profession. On behalf of the Secretary of State we’re responsible for the award of QTS . We also award QTS to trained teachers from the European Economic Area ( EEA ).
Once you have QTS , and are employed to teach in a maintained school in England or Wales, you will be paid under the school teachers’ pay scales . You will be subject to the performance management arrangements in schools in the same way as any other qualified teacher.
When you have finished your training, the initial teacher training provider will inform us of your results. This applies to all teacher training routes and to those awarded QTS following the assessment only route. If successful, we’ll award you QTS and update your record on the database of qualified teachers. Your QTS certificate will be available online from the teacher self-service website.
If you completed your initial teacher training in Wales, you’ll be awarded QTS by the Education Workforce Council (EWC). QTS awarded by the EWC is automatically recognised in England and the information is held on the database of qualified teachers.
If you trained in either Scotland or Northern Ireland you must apply for QTS to take up a teaching post in a maintained school or non-maintained special school in England.
Overseas trained teachers ( OTTs ) who qualified outside of the European Economic Area ( EEA ) who have gained recognition as a teacher in either Scotland or Northern Ireland can also apply for QTS in England.
To submit your application use the online application form .
It should take between 2 and 4 weeks to process your application.
If an EEA member state recognises you as a qualified school teacher you can apply for QTS in England under the terms of Council Directive 2005/36/EC.
If you trained outside the EEA you can also apply for QTS in England. An EEA member state needs to recognise your qualifications and you will need 3 years of experience as a teacher in that state.
Swiss nationals are also eligible to apply for QTS in England.
From the 19 December 2016 teachers who are recognised in the EEA but who are only qualified to teach pupils with special educational needs and disabilities (SEND) can apply for partial qualified teacher status in England. A teacher with partial qualified teacher status can be appointed to a qualified teacher post in a special school or to teach pupils in a specialist unit in mainstream schools. Partial qualified teacher status also exempts a teacher from the requirement to serve a statutory induction period in England. This change is due to an amendment to Council Directive 2005/36/EC. EU Member States must recognise qualifications when they entitle a professional to work in specific areas of a regulated profession.
If you’re not sure if you’re eligible please contact<EMAIL_ADDRESS>.
To submit your application use the online application form .
It may take up to 4 months to process your application. You won’t need further training and will be exempt from having to serve a statutory induction period. If successful, you’ll be awarded QTS . We’ll notify you by email and you can download a letter confirming the award from the teacher self-service website .
If we’re unable to award you QTS , you’ll need to complete a course of initial teacher training in England.
Teachers must apply to us for the award of QTS before they can be recognised as qualified teachers.
To submit your application:
We’ll then verify that you’re a fully qualified teacher in Australia, Canada, New Zealand or the USA and has not been barred from teaching. Subject to satisfactory completion of these checks, you’ll be issued with a letter confirming the award of QTS . Details of fully qualified teachers from Australia, Canada, New Zealand and the USA will be held on the database of qualified teachers in England.
Find out more about teaching in England .
If you trained in a country outside of the EEA , other than Australia, Canada, New Zealand or the USA, you need to complete an accredited training programme in England to obtain QTS and take up a permanent teaching post.
If you have QTLS status and membership with the Society for Education and Training, you will be eligible to work as a qualified teacher in schools in England.
It will be up to schools and local authorities to decide whether you are suitable for a post and to teach a particular subject. You will be exempt from serving a statutory induction period in schools.
For further information about QTLS and working in maintained schools please contact the Society for Education and Training .
If you are from the independent sector, you need QTS to teach in the maintained sector. There are a number of routes which assess previous teaching experience, further details are available on Get into Teaching .
Email<EMAIL_ADDRESS>Telephone 0207 593 5394
Opening hours: Monday to Friday 9am to 5pm, excluding UK bank holidays.
Published: 15 April 2014
Updated: 9 May 2016


|
decompiler
1.0.0
|
P-code emitter that dumps its raw Varnodes and PcodeOps to an in memory cache. More...
#include <emulate.hh>
Public Member Functions | |
| PcodeEmitCache (vector< PcodeOpRaw *> &ocache, vector< VarnodeData *> &vcache, const vector< OpBehavior *> &in, uintb uniqReserve) | |
| Constructor. More... | |
| virtual void | dump (const Address &addr, OpCode opc, VarnodeData *outvar, VarnodeData *vars, int4 isize) |
| The main pcode emit method. More... | |
| Public Member Functions inherited from PcodeEmit | |
| virtual | ~PcodeEmit (void) |
| Virtual destructor. | |
| void | restoreXmlOp (const Element *el, const AddrSpaceManager *trans) |
| Emit pcode directly from an XML tag. More... | |
| const uint1 * | restorePackedOp (const Address &addr, const uint1 *ptr, const AddrSpaceManager *trans) |
| Emit pcode directly from a packed byte stream. More... | |
Private Member Functions | |
| VarnodeData * | createVarnode (const VarnodeData *var) |
| Clone and cache a raw VarnodeData. More... | |
Private Attributes | |
| vector< PcodeOpRaw * > & | opcache |
| The cache of current p-code ops. | |
| vector< VarnodeData * > & | varcache |
| The cache of current varnodes. | |
| const vector< OpBehavior * > & | inst |
| Array of behaviors for translating OpCode. | |
| uintm | uniq |
| Starting offset for defining temporaries in unique space. | |
Additional Inherited Members | |
| Public Types inherited from PcodeEmit | |
| enum | { unimpl_tag = 0x20, inst_tag = 0x21, op_tag = 0x22, void_tag = 0x23, spaceid_tag = 0x24, addrsz_tag = 0x25, end_tag = 0x60 } |
| Static Public Member Functions inherited from PcodeEmit | |
| static const uint1 * | unpackOffset (const uint1 *ptr, uintb &off) |
| Helper function for unpacking an offset from a pcode byte stream. More... | |
| static const uint1 * | unpackVarnodeData (const uint1 *ptr, VarnodeData &v, const AddrSpaceManager *trans) |
| Helper function for unpacking a varnode from a pcode byte stream. More... | |
P-code emitter that dumps its raw Varnodes and PcodeOps to an in memory cache.
This is used for emulation when full Varnode and PcodeOp objects aren't needed
| PcodeEmitCache::PcodeEmitCache | ( | vector< PcodeOpRaw *> & | ocache, |
| vector< VarnodeData *> & | vcache, | ||
| const vector< OpBehavior *> & | in, | ||
| uintb | uniqReserve | ||
| ) |
Constructor.
Provide the emitter with the containers that will hold the cached p-code ops and varnodes.
| ocache | is the container for cached PcodeOpRaw |
| vcache | is the container for cached VarnodeData |
| in | is the map of OpBehavior |
| uniqReserve | is the starting offset for temporaries in the unique space |
References uniq.
|
private |
Clone and cache a raw VarnodeData.
Create an internal copy of the VarnodeData and cache it.
| var | is the incoming VarnodeData being dumped |
References varcache.
Referenced by dump().
|
virtual |
The main pcode emit method.
A single pcode instruction is returned to the application via this method. Particular applications override it to tailor how the operations are used.
| addr | is the Address of the machine instruction |
| opc | is the opcode of the particular pcode instruction |
| outvar | if not null is a pointer to data about the output varnode |
| vars | is a pointer to an array of VarnodeData for each input varnode |
| isize | is the number of input varnodes |
Implements PcodeEmit.
References PcodeOpRaw::addInput(), createVarnode(), inst, opcache, PcodeOpRaw::setBehavior(), PcodeOpRaw::setOutput(), PcodeOpRaw::setSeqNum(), and uniq.


Give people a voice in the music at your party and support your favorite charity at the same time with this portable jukebox!


PAY IT FORWARD A film review by Steve Rhodes Copyright 2000 Steve Rhodes RATING (0 TO ****): ***
In Mimi Leder's PAY IT FORWARD, seventh grade social studies teacher Eugene Simonet throws out his standard challenge to his new students ("Think of an idea to change our world -- and put it into action."). Eugene, a severe-burn victim, is played in another strong performance by two-time Academy Award-winner Kevin Spacey (AMERICAN BEAUTY).
Previous classes haven't taken Eugene's change-the-world assignment seriously, but this year Trevor McKinney, a latchkey kid, does. At 11, Trevor is one of the smallest and youngest kids in his class. And with AWOL parents, he is wise and serious beyond his years. As Trevor, Haley Joel Osment, Oscar nominee for THE SIXTH SENSE, is amazing again. This role, however, isn't nearly as meaty as his last; so don't expect to see any nominations for him this time.
"So you'll like flunk us if we don't change the world?" Trevor demands to know in a quizzical panic. "No, you might just squeak by on a 'C,'" Eugene shoots back with a delicate mixture of sweet humor and biting sarcasm.
Trevor eventually comes up with an idea along the lines of a Good Samaritan chain letter. His simple plan is that people should do good deeds for three other people. His rules: "#1 it has to be something that really helps people, #2 something they can't do by themselves and #3 I do it for them, they do it for three other people." The only caveat is that people can't pay it "back." They can only pay it "forward," i.e., they must do something for someone else, not for the person who helped them.
Trevor's mother, Arlene (Helen Hunt), is one of the characters in need of a lot of help. She is an admitted alcoholic with an abusive husband and a woman whose only friends are other drunks. Working two jobs and drinking heavily when she is home, Arlene is rarely there for her son, either physically or emotionally. One of their mother-son confrontations will have parents (and kids) in the audience flinching and perhaps even shedding a tear or two. Arlene's husband, a fellow drunk, is currently in one of his long banishment periods.
Both Spacey and Hunt are made to look awful in the service of their craft. Arlene, especially after a long night of boozing, doesn't look the least bit like Helen Hunt. Although Arlene's make-up and clothes are convincingly terrible at first, she is spruced up too quickly, as if, in some scene left on the cutting room floor, she had a makeover by a beauty consultant. In contrast, as the story advances, Eugene shows even more of his deep physical scars.
Jerry (James Caviezel, FREQUENCY), the first person who Trevor tries to help, is a street person with a heavy drug habit. Eugene, Arlene and Jerry share several traits. Eugene hides the story behind his burns. Arlene hides her bottles like squirrels do nuts. And Jerry just hides, period, lest Trevor find him shooting up again. Similarly, Eugene lives for the rigidity of his precious schedule. Arlene lives for her next drink. And Jerry lives for his next fix. Trevor and his pay-it-forward scheme change all of this.
A parallel story, which starts slightly in the future, has a newspaper man (Jay Mohr), who is himself befriended by a pay-it-forwarder, tracking down the origin of the movement. Although it is an important adhesive for the storyline, this subplot never provides anywhere near the emotional or dramatic impact that it could have. Overall, Leslie Dixon's script, based on Catherine Ryan Hyde's novel, is much better with the dialog than the narrative.
One of the many sharply written interchanges between Trevor and Eugene occurs when Eugene incorrectly thinks that Trevor is questioning his sincerity. "Do I strike you as someone being falsely nice?" Eugene asks caustically. "No, you're not even really nice," Trevor replies with bitter honesty.
Although PAY IT FORWARD has more than enough to be able to recommend it, it does have two significant problems. First, major plot twists are needlessly telegraphed, destroying what would otherwise have been dramatic surprises. Second, the acting is frequently too subdued, and you can almost feel the director throttling back her cast. Yes, there are some definitely saccharine scenes, but many others that should have had significant emotional impact come across surprisingly lukewarm. This will probably be an unpopular opinion, but PAY IT FORWARD is that rare movie that would be more effective if it were schmaltzier.
PAY IT FORWARD runs a bit too long at 2:02. It is rated PG-13 for mature thematic elements including substance abuse/recovery, some sexual situations, language and brief violence. It would probably be too strong for most kids under 13.
Email<EMAIL_ADDRESS>Web: http://www.InternetReviews.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


I’ve been writing a lot of statistics queries in Active Record/MySQL lately and noticed some possibly non-obvious things.
Time zones
Our database is configured to use UTC time. In Rails 2.1, we use config.active_record.default_timezone = :utc
. In 2.3, I believe it’s config.time_zone = 'UTC'
, and set that way by default.
A lot of my statistics queries involved time ranges, grouping per day or only using data from a certain period. I found that a query like
1
|
|
did not do any time zone conversions as you may expect. If some_day.beginning_of_day
is a non-UTC local time (e.g. 00:00 on March 26th CET), that date and time is passed into the query as “2009-03-26 00:00:00” and compared to the UTC datetimes in the database.
Instead, you should do
1
|
|
In this case, “2009-03-25 23:00:00” would be passed into the query.
If you want to do that another way, or to group on local-time dates, you could instead do something like
1
|
|
Without the conversion, it’d group on UTC dates instead of local CET dates. That would mean a customer that was created at 00:59 CET on March 26 would be grouped under March 25 instead.
Note that you need to set up the MySQL time zone tables with something like
1
|
|
On OS X with MySQL 5 from MacPorts, the invocation was
1
|
|
Warnings about time zones that couldn’t be loaded are fine as long as they’re not the ones you’re using.
You can convert time zones without those tables, but then you need to specify the UTC offset manually, and since it changes with daylight saving, I wouldn’t recommend it.
Multidimensional grouping
Another thing I noticed was that Active Record calculation queries (using e.g. .count
) don’t seem to support grouping by multiple columns at once. It’s easy to do with .all
and #map
, though:
1 2 3 4 |
|


5.13. Window Functions
Window functions perform calculations across rows of the query result. They run after the HAVING clause but before the ORDER BY clause. Invoking a window function requires special syntax using the OVER clause to specify the window. A window has three components:
- The partition specification, which separates the input rows into different partitions. This is analogous to how the GROUP BY clause separates rows into different groups for aggregate functions.
- The ordering specification, which determines the order in which input rows will be processed by the window function.
- The window frame, which specifies a sliding window of rows to be processed by the function for a given row. If the frame is not specified, it defaults to RANGE UNBOUNDED PRECEDING, which is the same as RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW. This frame contains all rows from the start of the partition up to the last peer of the current row.
For example, the following query ranks orders for each clerk by price:
SELECT orderkey, clerk, totalprice,
rank() OVER (PARTITION BY clerk
ORDER BY totalprice DESC) AS rnk
FROM orders
ORDER BY clerk, rnk
Aggregate Functions
All Aggregate Functions can be used as window functions by adding the OVER clause. The aggregate function is computed for each row over the rows within the current row’s window frame.
For example, the following query produces a rolling sum of order prices by day for each clerk:
SELECT clerk, orderdate, orderkey, totalprice,
sum(totalprice) OVER (PARTITION BY clerk
ORDER BY orderdate) AS rolling_sum
FROM orders
ORDER BY clerk, orderdate, orderkey
Ranking Functions
- cume_dist() → bigint
Returns the cumulative distribution of a value in a group of values. The result is the number of rows preceding or peer with the row in the window ordering of the window partition divided by the total number of rows in the window partition. Thus, any tie values in the ordering will evaluate to the same distribution value.
- dense_rank() → bigint
Returns the rank of a value in a group of values. This is similar to rank(), except that tie values do not produce gaps in the sequence.
- ntile(n) → bigint
Divides the rows for each window partition into n buckets ranging from 1 to at most n. Bucket values will differ by at most 1. If the number of rows in the partition does not divide evenly into the number of buckets, then the remainder values are distributed one per bucket, starting with the first bucket.
For example, with 6 rows and 4 buckets, the bucket values would be as follows: 1 1 2 2 3 4
- percent_rank() → bigint
Returns the percentage ranking of a value in group of values. The result is (r - 1) / (n - 1) where r is the rank() of the row and n is the total number of rows in the window partition.
- rank() → bigint
Returns the rank of a value in a group of values. The rank is one plus the number of rows preceding the row that are not peer with the row. Thus, tie values in the ordering will produce gaps in the sequence. The ranking is performed for each window partition.
- row_number() → bigint
Returns a unique, sequential number for each row, starting with one, according to the ordering of rows within the window partition.
Value Functions
- first_value(x) → [same as input]
Returns the first value of the window.
- last_value(x) → [same as input]
Returns the last value of the window.
- nth_value(x, offset) → [same as input]
Returns the value at the specified offset from beginning the window. Offsets start at 1. The offset can be any scalar expression. If the offset is null or greater than the number of values in the window, null is returned. It is an error for the offset to be zero or negative.
- lead(x[, offset[, default_value]]) → [same as input]
Returns the value at offset rows after the current row in the window. Offsets start at 0, which is the current row. The offset can be any scalar expression. The default offset is 1. If the offset is null or larger than the window, the default_value is returned, or if it is not specified null is returned.
- lag(x[, offset[, default_value]]) → [same as input]
Returns the value at offset rows before the current row in the window Offsets start at 0, which is the current row. The offset can be any scalar expression. The default offset is 1. If the offset is null or larger than the window, the default_value is returned, or if it is not specified null is returned.


Never
Learn from the mistakes of others.
Anyone who has never made a mistake has never tried anything new.
You can’t get away from yourself by moving from one place to another.


The Shadow Stalkers (SSBH) possess a rich and extensive bounty hunter history from the SWG universe beginning on Corbantis then stemming to the Bria and Starsider servers, dating back to initial game launch in 2003 and ending with the close of the Sony SWG servers in 2011. SSBH was the only exclusive BH guild that existed and consistently hunted throughout all three eras of SWG (precu, cu, nge), and became the only remaining exclusive bounty hunting guild by the end of NGE. Due to this fact, SSBH recorded thousands of confirmed kills and became the most recognized and infamous name in SWG bounty hunting. When it comes to SWG, we at SSBH eat, breath, and sleep player bounty hunting.
Greeting Hunters! After spending much time on the SWGEmu Basilisk (Precu) server awaiting Jedi launch, the SSBH leadership is pleased to announce that we have decided to shift our focus to the SWG Legends Server (NGE) and ultimately launch SSBH once more. The SWG Legends server has been a successful and thriving server for nearing a year and a half and is generally a fully functioning NGE server as we remember it; that includes bounty hunting! The SSBH leadership has recently began creating and preparing toons on the SWG Legends Server and plans to re-launch SSBH once our toons are ready to hunt. Now is a great time to join us and get leveled/geared out. You can find us by downloading Discord (our voice chat/forum) and logging in under https://discord.gg/ez2SKba. This will remain an open voice chat and forum for the time being for anyone interested in joining SSBH, bounty hunting, or SWG Legends. -Eternal- (SWG Legends), SSBH Guild Master


0.05 seconds
Realtime results for #erlangfactory
0 more results since you started searching. Refresh to see them.
-
returnthis: heading home from #erlangfactory by far one of the best conf
-
jclopes: RT @metajack:The Erlang startup: 1. write awesome erlang code. 2. ??? 3. Profit! #erlangfactory - is it that simple?
-
skeptomai: #erlangfactory 7 am post-conf. euphoria. Hacking Erlang at #starbucks. SJC->SEA later today.
-
twonds: In sfo heading home to #chs #erlangfactory was good!
-
jchris: #erlangfactory http://bit.ly/19D7sl <-- Hovercraft / CouchDB internals slides pdf (with some remixed bit from the Edge talk)
-
arjunram: @nitin Can you pls put up your slides up ? if they are not already on #erlangfactory
-
archaelus: Off to San Francisco via Frankfurt today. Too late for #erlangfactory but still can't wait to be there :)
-
nitin: Take away from #erlangfactory there's a new disruptive data metaphor and it's called CouchDB
-
jacobvorreuter: #erlangfactory was amazing and I'm sad that it's over. thank you @FrancescoC and other organizers!
-
jj1bdx: Kudos to the organizers, speakers, and participants of #erlangfactory SF.
-
mickael: #erlangfactory is over. Returning to my usual tweet frequency.
-
arnaudsj: wishes he could have managed to participate in #erlangfactory - looked like a lot of fun stuff! Can't wait for the video transcripts though
-
dysinger: RT @jchris:Learning about Disco: 3k loc of Erlang, functionally identitical to Hadoop which is 100k+ loc. #erlangfactory
-
FrancescoC: Best Erlang Conference ever! Thank you speakers, audience and sponsors for making it happen. See you again next year! #ErlangFactory
-
williamsjoe: All done at #erlangfactory Awesome conference! Thanks to everyone who came out.
Page 1 » Older


Class 17: Introduction to PCA
May 06, 2020
Downloads
Pre class
Chapter 04_machine-learning.zip (right-click to download)
Post class
Chapter 04_machine-learning.zip key (right-click to download)


Because Fortran 90 is (for all practical purposes) a superset of Fortran 77, Fortran 90 (and future) programs can use the original Fortran interface. The following additional requirements are added:
To make mpif.h compatible with both fixed- and free-source
forms, to allow automatic inclusion by preprocessors, and to allow
extended fixed-form line length, it is recommended that requirement
two be met by constructing mpif.h without any continuation lines. This
should be possible because mpif.h contains only declarations,
and because common block declarations can be split among several
lines. To support Fortran 77 as well as Fortran 90, it may be
necessary to eliminate all comments from mpif.h.
( End of advice to implementors.)


| 1. You can start with a new image
(for example 80 x 80 pixel in size, RGB color) or you can use an image
of your choice. |
|
| 2. Select Edit Mask (click
on the right button below the foreground/background color field) |
|
| 3. Select Filter/Quality/Roughen.
Set size to 3x3, 80%, press OK. Leave the Edit Mask mode (click
on the icon again) |
| 4. Select Effects/Effect Filters/Emboss Filter.
Set the direction to 45, the Height to 45 degrees, and the Width to 3.
Press OK. If you worked without an image, you now have a grey paper background. |
|
| 5. If you want to change the color,
select Tool/Color/Hue-Saturation. Select the Colorize checkbox,
and set Intensity to 0, Saturation to 100. If you would like a different
color, change Hue to a different setting. |
|


|
Exact Stochastic Simulation Software
|
Abstract base class for the molecular species of a system. More...
#include <_Species.h>
Public Member Functions | |
| _Species (long id, string name, double init_conc) | |
| Constructor. More... | |
| virtual | ~_Species () |
| Destructor. More... | |
| virtual long | get_n_molecules ()=0 |
| Get current number of molecules. More... | |
| virtual void | mod_n_molecules (long n)=0 |
| Modify number of molecules (n_molecules). More... | |
| virtual _Species * | copy ()=0 |
| Copy method. More... | |
| virtual void | set_n_molecules (double volume) |
| Set initial molecular count (n_molecules). More... | |
| long | get_id () |
| string | get_name () |
| double | get_initial_conc () |
| bool | get_dirty_flag () |
| void | set_dirty_flag (bool b) |
Protected Attributes | |
| long | id |
| Species ID. More... | |
| string | name |
| Species name. More... | |
| bool | dirty_flag |
| Indicates whether this _Species needs to be updated or not. More... | |
| long | n_molecules |
| Current number of molecules. More... | |
| double | initial_conc |
| Initial concentration. More... | |
| double | volume |
| Volume of the _Voxel containing this _Species. More... | |
Abstract base class for the molecular species of a system.
|
inline |
Constructor.
| id | Species ID |
| name | Species name |
| init_conc | initial concentration |
|
pure virtual |
Copy method.
Copy method that generates a copy of this. It is is a virtual function to ensure that whenever this function is called, the most specific object (derived from this abstract base class) is copied.
Implemented in nw::Channel_Spc, and nw::Standard_Spc.
|
inline |
|
inline |
|
inline |
|
pure virtual |
Get current number of molecules.
Implemented in nw::Channel_Spc, and nw::Standard_Spc.
|
inline |
|
pure virtual |
Modify number of molecules (n_molecules).
| n | Summand that is added to the current number of molecules. |
If an event occurs, this function is called to update the number of molecules based on the state change vector of the firing _Event. If n
is positive the number of molecules is increased, if it is negative the number of molecules in decrease.
Implemented in nw::Channel_Spc, and nw::Standard_Spc.
|
inline |
|
inlinevirtual |
Set initial molecular count (n_molecules).
Called in the constructor of every _Voxel to set the correct (_Voxel volume adapted) number of molecules. This makes it easier to define _Species and _Voxel in the input file.
Reimplemented in nw::Channel_Spc.
|
protected |
Indicates whether this _Species needs to be updated or not.
|
protected |
Species ID.
|
protected |
Initial concentration.
|
protected |
Current number of molecules.
|
protected |
Species name.


{% extends 'main/base.html' %} {% load static %} {% block content %} {% if user_detail %}
| Full Name | {{ user_detail.first_name }} {{ user_detail.last_name }} |
|---|---|
| Email Address | {{ user_detail.email }} |
Review current Terms of Service
| Update My Details |
| Change Password |
| Delete My User |
To change a keyboard's label, click on the keyboard name.
No keyboards to manage
{% endif %} {% else %}Not permitted to view this user.
{% endif %} {% endblock %} {% block additional_scripts %} {% endblock %}


peptide SBP human protein binding SARS-CoV- SARS-CoV--RBD ACE spike domain OpenUrl RMSD automated derived peptides sequence synthesis Fig. affinity residues simulation flow RBD biotinylated determined entry interface used using water acid binder bio-layer coronavirus crude dissociation drug fast-flow helix low new rapidly simulation. surface synthesis, synthesized ACE-PD Abstract binders binds cells cleavage fully glycosylated interaction interactions key menin molecular nanomolar potential rapid receptor simulations solution starting virus A.J. Binding COVID- FREE Individual SARS-CoV--RBD. Text Using affinity. amino association co-crystal docked fluctuations global interferometry negative novel potentially purified solid-phase therapeutic trajectory


Principal Investigator
Research Fellow
PhD Student
PhD Student (joint with Fratta lab)
PhD Student (joint with Labbadia lab)
MSc Student


Review: Flubber
by Luke Buckmaster
Robin Williams' eccentric excuse to bounce around the silver screen side to side with a comical green bloc is a remake of the 1960's hit The Absent Minded Professor (starring Jerry Lewis). It was great then, and it's great now.
Phillip Brainard (Williams) can be described perfectly using the title of the 1960's film - yes, a very absent-minded professor. Though he is unmistakably brilliant in his own demented way, Phillip has invented many remarkable and ground breaking gadgets in the name of science. The only fault in his phenomenal mind is that the science of daily life eludes him.
So after forgetting to attend his own wedding on two separate occasions, finance Sara Jean Reynolds (Marcia Gay Harden) has chosen to forget about her first two attempts at marriage and gives Harry a third-time-or-nothing deal, vowing that she will not marry him unless he attends the wedding at 6:30 in the evening. But that night Phillip, accompanied with flying robot invention "Weebo", stumbles across the most amazing of his discoveries yet. In the form of a gooey green substance, the flying rubber (hence, Flubber) which he has created almost seems to have a personality and life of its own.
As Phillip's watch alarm rings, he breaths a sigh of relief - its only 6:30the next morning.
>From then on Phillip and Flubber are on their own and get tangled up in many comical adventures including applying energy to the local basketball team, taking care of a couple of dim witted goons and giving the car and air born up date. Whilst this is taking place, Phillip fights to win his woman back and save where he teaches from being shut down.
Flubber is great fun. Robin Williams' physical maneuvers are alone worth seeing; and the collection of scenes which make up this radical experience are high quality entertainment. The kids will have a wonderful time jumping, shouting and pointing at Flubber's amusing antidotes whilst adults will have no problem in twisting their faces into a cheerful smile and appreciate the more subtle jokes.
Flubber has got to be one of the most enjoyable films I've seen this year. Easy going, stress free and awesome fun for young and old.
3 = stars out of 5 Frivolous family fun with Flubber
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


---
layout: post
title: Busy bees
date: 2008-06-11 00:00:00
categories: business mobile personal
---
Talking of FP... we've been rubbish at talking about what we're doing. So excuse me if I go a little salesy, but I thought I'd use this platform to mention some of the stuff we've been doing this year:
- We're working for half of Nokia's design teams in the UK, implementing handset themes onto a range of devices which have come to market so far in 2008, and will be continuing to arrive throughout the year;
- Top-secret design work for a large international agency. Can't say any more;
- Piles of design and product development for trutap - there's some really great stuff going on here which I'll share more about in the next few montsh;
- Some concept work for the LastMinute.com Labs team (when I'm not trying to cleave them in half, virtually), and Channel 4 - both of whom have contributed to our healthy collection of NDAs, so no details here I'm afraid;
- Mobile web development for the Royal Observatory Greenwich (see the presentation Bryan and I gave at Over The Air here), and for a font distributor - coming soon!
- More game development for LocoMatrix;
- Nifty bits of Bluetooth work for Wieden & Kennedy, to support an ad campaign for Save The Children, and for CuteCircuit - who sell a really T-shirt that beams hugs over mobile phones. Honest.
Phew. Oh and there's all the stuff that's so secret I can't even breathe about it, of course... ;)


public abstract class BaseRelation
extends Object
StructType
. Concrete
implementation should inherit from one of the descendant Scan
classes, which define various
abstract methods for execution.
BaseRelations must also define an equality function that only returns true when the two instances will return the same data. This equality function is used when determining when it is safe to substitute cached results for a given relation.
| Constructor and Description |
|---|
BaseRelation() |
| Modifier and Type | Method and Description |
|---|---|
boolean |
needConversion()
Whether does it need to convert the objects in Row to internal representation, for example:
java.lang.String to UTF8String
java.lang.Decimal to Decimal
|
abstract StructType |
schema() |
long |
sizeInBytes()
Returns an estimated size of this relation in bytes.
|
abstract SQLContext |
sqlContext() |
Filter[] |
unhandledFilters(Filter[] filters)
Returns the list of
Filter s that this datasource may not be able to handle. |
public boolean needConversion()
If needConversion
is false
, buildScan() should return an RDD
of InternalRow
public abstract StructType schema()
public long sizeInBytes()
public abstract SQLContext sqlContext()
public Filter[] unhandledFilters(Filter[] filters)
Filter
s that this datasource may not be able to handle.
These returned Filter
s will be evaluated by Spark SQL after data is output by a scan.
By default, this function will return all filters, as it is always safe to
double evaluate a Filter
. However, specific implementations can override this function to
avoid double filtering when they are capable of processing a filter internally.
filters
- (undocumented)


spacer so that everything below will be offscreen (and won't get viewport-activated)
child text will be in AX tree but without layout
nested activatable locked element will be in AX tree but without layout
normal text 1
nested non-viewport-activatable locked element will not be in AX tree
normal text 2
nested non-activatable locked element will not be in AX tree
normal text 3


Using Opera browser:
- click the first input box;
- press TAB key
An outline will be shown around the div element with tabindex="0"
attribute.
It seems not possible to remove the outline using simple methods like CSS or something similar.


Who's got a busted motherboard fan the morning of his #rubyconf presentation? That's right, this guy. Thanks @kobier for saving me!
11/8/2013, 6:04:18 AM
Favs: 1
Retweets: 0
link--- layout: tweet ---
Who's got a busted motherboard fan the morning of his #rubyconf presentation? That's right, this guy. Thanks @kobier for saving me!
11/8/2013, 6:04:18 AM
Favs: 1
Retweets: 0
link


FIND CUISINE
City:
Cuisine Type:
American
Chinese
French
Greek
Indian
Italian
Japanese
Greek
Mediterranean
Mexican
Thai
Search


The View.WhatDotColor function is used to determine the color
number of the specified pixel. The alternate spelling is
View.WhatDotColour.
Example
This program draws a line which bounces off the edges of the screen and makes a beep when it finds a pixel that has already been colored.
View.Set ( "graphics" )
var x, y : int := 0
var dx, dx : int := 1
loop
if View.WhatDotColor ( x, y ) not= 0 and
View.WhatDotColor ( x, y ) not= brightred then
Draw.FillOval (x, y, 10, 10, brightred)
end if
Draw.Dot ( x, y, 1 )
x := x + dx
y := y + dy
if x = 0 or x = maxx then
dx := -dx
end if
if y = 0 or y = maxy then
dy := -dy
end if
end loop
Example
Another example illustrates the use of View.WhatDotColor to
determine the color of pixels in a window painted with multi-color
blocks. The actual color number appears in the block. The color
of the dot under the mouse cursor appears in the upper-left
corner of the window. Note that you can also place the mouse
cursor over the black text indicating the color number.
Details
The screen should be in a"graphics" mode. If is not set to
"graphics"mode, it will automatically be set to
"graphics" mode. See View.Set for details.
Status
Exported qualified.
This means that you can only call the function by calling
View.WhatDotColor, not by calling WhatDotColor.
See also
Draw.Dot, which is used for setting
the color of a pixel. See also maxx and
maxy, which are used to determine the
number of pixels on the screen.


CHIEF HARRY&CO CHAMBERS ATTORNEYS AT LAW BARRISTERS Office. State House Annex.Ikoyi-Lagos Fax 234 1 7595789 Date: 14th JUNE 2003 Attn. Managing Director/CEO Sir For the purpose of introduction, I am the private attorney to GENERAL ISHAYA BAMAYI, the former chief of army staff during the regime of late general Sani Abacha, who was the former head of state. As you may know, General Bamayi is presently is in detention over some activities that took place when he was in government and the matter in court right now. Last year, the present civilian government set up a truth and reconciliation panel which was, CODE Name OPUTAL PANEL .If you are aware of this and probably you followed the proceeding on CNN, you would have seen in one occasion how one another retired military officer, General Sabo testified how all the generals looted billion of dollars. One specific case is the US$75m given to the late head of safe by the oil companies in Nigeria for his campaign as he was planning to succeed himself but unfortunately he died shortly after the money was given and this money was taken by my client and hidden in a sate place in home town. Now that the matter has been made know, my client wants that money to be moved from where it is and be lodged in a bank account that will carry a foreigner's name. This is the reason we are contacting you. If you can handle this, please get back to me urgently so that I can arrange to send you documents with which the consignment was deposited and also arrange for you to travel to Europe where arrangement has been conclude to move the money and do something about it. This is TOP SECRET and must be treated as such.Please fax me on my direct fax number .234 1 7595789 for further info. Thanks for your understanding, kind consideration and cooperation my best regards to you and your family. Please let me have your private phone and fax numbers. Chief Harry O. harry (SAN)


{{site.user_description}}
I'm very interested in artificial intelligence. Making strides towards developing a truly concious machine would allow us to understand ourselves.
Javascript (specificially node.js), Lua and Python are my main development languages at the moment. I mostly use Lua for my game projects, as it is a lightweight and powerful scripting language.


PersistenceIntegration
public protocol PersistenceIntegration: Integration
Conform to this protocol and initialize your Client
instance with the persistenceIntegration
initialization parameter set to recieve messages about creation and deletion of Entry
s and Asset
s
in your space when doing sync operations using the Client.initialSync()
and Client.nextSync()methods.
Proper conformance to this protocol should enable persisting the state changes that happen in your Contentful
space to a persistent store such as
CoreData`.
-
Updates the PersistenceIntegration with information about the locales supported in the current space.
Declaration
Swift
func update(localeCodes: [LocaleCode])
-
Update the local datastore with the latest delta messages from the most recently fetched SyncSpace response.
There is no guarantee which thread this will be called from, so it is your responsibility when implementing this method, to execute on whatever thread your local datastore may require operations to be executed on.
Declaration
Swift
func update(with syncSpace: SyncSpace)
-
This is called whenever a new Asset was created or an existing one was updated.
There is no guarantee which thread this will be called from, so it is your responsibility when implementing this method, to execute on whatever thread your local datastore may require operations to be executed on.
Declaration
Swift
func create(asset: Asset)
Parameters
asset
The created/updated Asset
-
This is called whenever an Asset was deleted.
There is no guarantee which thread this will be called from, so it is your responsibility when implementing this method, to execute on whatever thread your local datastore may require operations to be executed on.
Declaration
Swift
func delete(assetWithId: String)
Parameters
assetId
Identifier of the Asset that was deleted.
-
This is called whenever a new Entry was created or an existing one was updated.
There is no guarantee which thread this will be called from, so it is your responsibility when implementing this method, to execute on whatever thread your local datastore may require operations to be executed on.
Declaration
Swift
func create(entry: Entry)
Parameters
entry
The created/updated Entry
-
This is called whenever an Entry was deleted.
There is no guarantee which thread this will be called from, so it is your responsibility when implementing this method, to execute on whatever thread your local datastore may require operations to be executed on.
Declaration
Swift
func delete(entryWithId: String)
Parameters
entryId
Identifier of the Entry that was deleted.
-
This method is called on completion of a successful
Client.initialSync
andClient.nextSync
calls so that the sync token can be cached and future launches of your application can synchronize without doing aninitialSync
.There is no guarantee which thread this will be called from, so it is your responsibility when implementing this method, to execute on whatever thread your local datastore may require operations to be executed on.
Declaration
Swift
func update(syncToken: String)
-
This method is called after all
Entry
s have been created and all links have been resolved. The implementation should mapEntry
fields that areLink
s to persistent relationships in the underlying persistent data store.There is no guarantee which thread this will be called from, so it is your responsibility when implementing this method, to execute on whatever thread your local datastore may require operations to be executed on.
Declaration
Swift
func resolveRelationships()
-
This method is called after all
Asset
s andEntry
s have been tranformed to persistable data structures. The implementation should actually perform the save operation to the persisent database.There is no guarantee which thread this will be called from, so it is your responsibility when implementing this method, to execute on whatever thread your local datastore may require operations to be executed on.
Declaration
Swift
func save()


A fun matching game designed to build retention and recall speed of addition, subtraction, multiplication and division facts. Universal app.
Client: Connect, Relate, Create
Kyle: Design and development.
Download Math Match on the App StoreTimed activities for students preparing to write college admissions essays. Activities are saved locally for future reference and sharing. Universal app.
Client: Chris Polley
Kyle: Design and development.
Download College Essay Brainstorm on the App StoreSafety information to support awareness in a home, office or industrial setting. Universal app.
Client: O'Brien & Gere
Kyle: Development.
Download Safety Moments on the App StoreChallenge other players to brain teasers and see who is the smartest. Features asynchronous play with friends or an automatched opponent over Game Center. iPhone only.
Client: Big Brain Apps, LLC
Kyle: Development.
Download Bigger Brain FaceOff! on the App StoreUnit conversion app with fourteen types of measurements. Along with the companion iPhone app, which I also developed, downloaded over 12 million times. Currency conversion is powered by custom python script that scrapes the latest rates from Google.
Client: Free the Apps!
Kyle: Development
Download Convert Units Free HD (iPad) on the App Store


--- layout: post title: Simple Hadoop Clusters ---
I'm excited to announce Pallet-Hadoop, a configuration library written in Clojure for Apache's Hadoop.
In the tutorial, we're going to see how to create a three node Hadoop cluster on EC2, and run a word count on MapReduce. We'll be following along with Pallet-Hadoop example project for the introduction; for a more in-depth discussion of the design of pallet-hadoop, see the project wiki.
Hadoop is an Apache java framework that allows for distributed processing of enormous datasets across large clusters. It combines a computation engine based on MapReduce with HDFS, a distributed filesystem based on the Google File System.
Abstraction layers such as Cascading (for Java) and Cascalog (for Clojure) make writing MapReduce queries quite nice. Indeed, running hadoop locally with cascalog couldn't be easier.
Unfortunately, graduating one's MapReduce jobs to the cluster level isn't so easy. Amazon's Elastic MapReduce is a great option for getting up and running fast; but what to do if you want to configure your own cluster?
After surveying existing tools, I decided to write my own layer over Pallet, a wonderful cloud provisioning library written in Clojure. Pallet runs on top of jclouds, which allows pallet to define its operations independent of any one cloud provider. Switching between clouds involves a change of login credentials, nothing more.
Before you get your first cluster running, you'll need to create an AWS account. Once you've done this, navigate to your account page and follow the "Security Credentials" link. Under "Access Credentials", you should see a tab called "Access Keys". Note down your Access Key ID and Secret Access Key for future reference.
I'm going to assume that you have some basic knowledge of clojure, and know how to get a project running using leiningen or cake. Go ahead and clone the example project to follow along:
$ git clone git://github.com/pallet/pallet-hadoop-example.git $ cd pallet-hadoop-example
Open up ./src/pallet-hadoop-example/core.clj
with your favorite text editor. example-cluster
contains a data description of a full hadoop cluster with:
(slave-group 2)
), each acting as datanode and tasktracker.
Start a repl:
$ lein repl user=> (use 'pallet-hadoop-example.core) (bootstrap)
Pallet abstracts away details about specific cloud providers through the idea of a "compute service". The combination of our cluster definition and our compute service will be enough to get our cluster running. We define a compute service at our REPL like so:
user=> (def ec2-service (compute-service "aws-ec2" :identity "ec2-access-key-id" ;; Swap in your access key ID :credential "ec2-secret-access-key")) ;; Swap in your secret key #'pallet-hadoop-example.core/ec2-service
Alternatively, if you want to keep these out of your code base, save the following to ~/.pallet/config.clj
:
(defpallet :services {:aws {:provider "aws-ec2" :identity "your-ec2-access-key-id" :credential "your-ec2-secret-access-key"}})
and define ec2-service
with:
user=> (def ec2-service (compute-service-from-config-file :aws)) #'user/ec2-service
Now that we have our compute service and our cluster defined, booting the cluster is as simple as the following:
user=> (create-cluster example-cluster ec2-service)
The logs you see flying by are Pallet's SSH communications with the nodes in the cluster. On node startup, Pallet uses your local SSH key to gain passwordless access to each node, and coordinates all configuration using streams of SSH commands.
Once create-cluster
returns, we're done! We now have a fully configured, multi-node Hadoop cluster at our disposal.
To test our new cluster, we're going log in and run a word counting MapReduce job on a number of books from Project Gutenberg.
Point your browser to the EC2 Console, log in, and click "Instances" on the left.
You should see three nodes running; click on the node whose security group contains "jobtracker", and scroll the lower pane down to retrieve the public DNS address for the node. It'll look something like ec2-50-17-103-174.compute-1.amazonaws.com
. I'll refer to this address as jobtracker.com
.
Point your browser to jobtracker.com:50030
, and you'll see the JobTracker web console. (Keep this open, as it will allow us to watch our MapReduce job in action.).=jobtracker.com:50070= points to the NameNode console, with information about HDFS.
Next, we'll SSH into the jobtracker, and operate as the hadoop
user. Head to your terminal and run the following commands:
$ ssh jobtracker.com # insert actual address, enter yes to continue connecting $ sudo su - hadoop
At this point, we're ready to begin following along with Michael Noll's excellent Hadoop configuration tutorial. (I'll cover some of the same ground for clarity.)
Our first step will be to collect a bunch of text to process. We start by downloading the following seven books to a temp directory:
Running the following commands at the remote shell should do the trick.
$ mkdir /tmp/books $ cd /tmp/books $ curl -O http://www.gutenberg.org/cache/epub/20417/pg20417.txt $ curl -O http://www.gutenberg.org/cache/epub/5000/pg5000.txt $ curl -O http://www.gutenberg.org/cache/epub/4300/pg4300.txt $ curl -O http://www.gutenberg.org/cache/epub/132/pg132.txt $ curl -O http://www.gutenberg.org/cache/epub/1661/pg1661.txt $ curl -O http://www.gutenberg.org/cache/epub/972/pg972.txt $ curl -O http://www.gutenberg.org/cache/epub/19699/pg19699.txt
Next, navigate to the Hadoop directory:
$ cd /usr/local/hadoop-0.20.2/
And copy the books over to the distributed filesystem:
/usr/local/hadoop-0.20.2$ hadoop dfs -copyFromLocal /tmp/books books /usr/local/hadoop-0.20.2$ hadoop dfs -ls Found 1 items drwxr-xr-x - hadoop supergroup 0 2011-06-01 06:12:21 /user/hadoop/books /usr/local/hadoop-0.20.2$
We're ready to run the MapReduce job. wordcount
takes an input path within HDFS, processes all items within, and saves the output to HDFS – to books-output
, in this case. Run this command:
/usr/local/hadoop-0.20.2$ hadoop jar hadoop-examples-0.20.2-cdh3u0.jar wordcount books/ books-output/
And you should see something very similar to this:
11/06/01 06:14:30 INFO input.FileInputFormat: Total input paths to process : 7 11/06/01 06:14:30 INFO mapred.JobClient: Running job: job_201106010554_0002 11/06/01 06:14:31 INFO mapred.JobClient: map 0% reduce 0% 11/06/01 06:14:44 INFO mapred.JobClient: map 57% reduce 0% 11/06/01 06:14:45 INFO mapred.JobClient: map 71% reduce 0% 11/06/01 06:14:46 INFO mapred.JobClient: map 85% reduce 0% 11/06/01 06:14:48 INFO mapred.JobClient: map 100% reduce 0% 11/06/01 06:14:57 INFO mapred.JobClient: map 100% reduce 33% 11/06/01 06:15:00 INFO mapred.JobClient: map 100% reduce 66% 11/06/01 06:15:01 INFO mapred.JobClient: map 100% reduce 100% 11/06/01 06:15:02 INFO mapred.JobClient: Job complete: job_201106010554_0002 11/06/01 06:15:02 INFO mapred.JobClient: Counters: 22 11/06/01 06:15:02 INFO mapred.JobClient: Job Counters 11/06/01 06:15:02 INFO mapred.JobClient: Launched reduce tasks=3 11/06/01 06:15:02 INFO mapred.JobClient: SLOTS_MILLIS_MAPS=74992 11/06/01 06:15:02 INFO mapred.JobClient: Total time spent by all reduces waiting after reserving slots (ms)=0 11/06/01 06:15:02 INFO mapred.JobClient: Total time spent by all maps waiting after reserving slots (ms)=0 11/06/01 06:15:02 INFO mapred.JobClient: Launched map tasks=7 11/06/01 06:15:02 INFO mapred.JobClient: Data-local map tasks=7 11/06/01 06:15:02 INFO mapred.JobClient: SLOTS_MILLIS_REDUCES=46600 11/06/01 06:15:02 INFO mapred.JobClient: FileSystemCounters 11/06/01 06:15:02 INFO mapred.JobClient: FILE_BYTES_READ=1610042 11/06/01 06:15:02 INFO mapred.JobClient: HDFS_BYTES_READ=6557336 11/06/01 06:15:02 INFO mapred.JobClient: FILE_BYTES_WRITTEN=2753014 11/06/01 06:15:02 INFO mapred.JobClient: HDFS_BYTES_WRITTEN=1334919 11/06/01 06:15:02 INFO mapred.JobClient: Map-Reduce Framework 11/06/01 06:15:02 INFO mapred.JobClient: Reduce input groups=121791 11/06/01 06:15:02 INFO mapred.JobClient: Combine output records=183601 11/06/01 06:15:02 INFO mapred.JobClient: Map input records=127602 11/06/01 06:15:02 INFO mapred.JobClient: Reduce shuffle bytes=958780 11/06/01 06:15:02 INFO mapred.JobClient: Reduce output records=121791 11/06/01 06:15:02 INFO mapred.JobClient: Spilled Records=473035 11/06/01 06:15:02 INFO mapred.JobClient: Map output bytes=10812590 11/06/01 06:15:02 INFO mapred.JobClient: Combine input records=1111905 11/06/01 06:15:02 INFO mapred.JobClient: Map output records=1111905 11/06/01 06:15:02 INFO mapred.JobClient: SPLIT_RAW_BYTES=931 11/06/01 06:15:02 INFO mapred.JobClient: Reduce input records=183601 /usr/local/hadoop-0.20.2$
Now that the MapReduce job has completed successfully, all that remains is to extract the results from HDFS and take a look.
$ mkdir /tmp/books-output $ hadoop dfs -getmerge books-output /tmp/books-output $ head /tmp/books-output/books-output
You should see something very close to:
"'Ah!' 2 "'Ample.' 1 "'At 1 "'But, 1 "'But,' 1 "'Come! 1 "'December 1 "'For 1 "'Hampshire. 1 "'Have 1
Success!
When we're finished, we can kill our cluster with this command, back at the REPL:
user=> (destroy-cluster example-cluster ec2-service)
That's it for now! Next, we'll talk about how to test hadoop clusters using pallet-hadoop with vmfest to create a virtual machine cluster identical to your production cluster on the cloud.