OPEN SECRET (director: John Reinhardt; screenwriters: from a story by Ted Murkland & Max Wilk/Henry Blankfort/Max Wilk; cinematographer: George Robinson; editor: Jason Bernie; cast: John Ireland (Paul Lester), Jane Randolph (Nancy Lester), Roman Bohnen (Locke), Sheldon Leonard (Detective Sergeant Mike Frontelli), George Tyne (Harry Strauss), Morgan Farley (Mitchell/Phillips), Ellen Lowe (Mrs. Locke), Anne O'Neal (Mrs. Tistram), Arthur O'Connell (Carter), John Alvin (Ralph), Rory Mallinson (Chuck Hill), Leo Kaye (Fatso, Bartender), Bert Conway (Mace), Charles Waldron (Ed Stevens); Runtime: 70; Eagle Lion / Marathon Pictures; 1948)
Reviewed by Dennis Schwartz
Open Secret is a quality story, but is a cheaply produced B-film with similar themes about anti-Semitism as "Crossfire" and "Gentleman's Agreement." A young couple, Paul Lester (Ireland), and his attractive bride Nancy (Randolph), on their honeymoon, call up Paul's army buddy Ed Stevens (Waldron). He tells them he has to go out an emergency, but he will leave them the key with his landlord and they are welcome to stay with him. When he doesn't show up the next day, they get concerned. The landlady (O'Neal) is told her tenant is missing and she keeps Nancy company while hubby investigates; she also tells them Ed had lost his job recently.
They find anti-Semitic literature in the apartment, and Paul says that's not like the Ed he knew. A man from Snap magazine (Farley) comes by and says Ed promised him a story, but didn't say what it was. With Ed still missing, Paul calls his friend from the police department Detective Sergeant Mike Frontelli (Sheldon Leonard) to investigate. This is one of the rare occasions that Leonard played a cop instead of a gangster.
 When it is discovered that Ed is murdered, Paul decides to stay in town and clear his pal's name. The couple innocently bring in photos they took on their honeymoon to have Harry Strauss (Tyne) develop them. They find out from him that there is prejudice against the Jews in the neighborhood recently, as Strauss tells them there's a group trying to put him out of business because he's a Jew.
The couple discovers when looking at the photos returned to them, that Ed was secretly taking pictures of the extremist group members and was ready to turn it over to the magazine. The hate group now goes after the couple to try and get the pictures back. When Paul figures out that the group framed Ed for the murder of another Jewish man, he decides to confront one of the weaker members by showing him a picture they have of him in the act of the crime. But Paul's overtaken by the group and his life is threatened, as he is taken back to the bar the group hangs out in.
Warning: spoiler to follow.
The climax is action-packed as Strauss is also taken by the group when he comes looking for Paul, but he leads them into a trap by taking one of them back to his photo store for the negatives. He is able to overtake his captor and call the police. The twist in the story, is that the magazine reporter is an ambitious politician who used an alias and is really the secret leader of this group.
The story should hold your interest.
REVIEWED ON 5/19/2001 GRADE: C-
Dennis Schwartz: "Ozus' World Movie Reviews"
http://www.sover.net/~ozus
<EMAIL_ADDRESS>© ALL RIGHTS RESERVED DENNIS SCHWARTZ
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


UTC +6:30
Many shops have irregular opening hours.
Australian dollar (Aus$)
There is now an ATM at the Resource Centre on West Island. It accepts all cards, with a maximum withdrawal of $100 – however you can use your card numerous times.
Most businesses on West Island accept credit cards (except Diners and Amex) and several now have EFTPOS facilities.
Changing currency is very difficult, so best arrive with plenty of Australian dollars.
International dialing code for Cocos Keeling is +61.
The internet is delivered via satellite to the Cocos (Keeling) Islands and is accessed through a wireless system from CIIA. There is no Telstra network on island.
There are several ‘hotspots’ located around West Island and a hotspot on Direction Island. Wifi vouchers can be purchased from the Cocos Islands Community Resource Centre or online via their website with a credit card (see http://www.cocos.crc.net.au/Services/Pages/default.aspx#)
Mobile phones from mainland Australia will not work on Cocos. Mobile phones are available for hire from the Cocos Keeling Islands Community Resource Centre. Due to no Telstra network on Island, they offer phones connected to the CIIA network. See the above link for more details.
Public phones are available and are located on both West Island and Home Island.
Postal services to Cocos are twice weekly. Envelopes and Express Post Packages will be sent by air. Other mail, including airmail packages, will be sent via sea mail which may take up to two months for delivery.
Last updated July 2015.
IMRAY AND ADLARD COLES PILOT BOOKS are available at a discounted price for Noonsite.com users via World Cruising Club
Indian Ocean Cruising Guide
By Rod Heikell
Publisher: Imray Laurie Norie & Wilson (1 July 2007)
ISBN 13:<PHONE_NUMBER>725
A good general cruising guide covering the routes from Europe to Australia and points in between. The 'Indian Ocean Cruising Guide' covers all the usual points of interest for cruising yachtsmen, from history to climate, weather patterns, formalities, route planning and so on. This second edition has been thoroughly revised and contains a lot of additional information on Malaysia and Thailand, the Seychelles and the Chagos archipelago. The introduction has been expanded and throughout there are new plans and photographs.
Cocos Keeling Islands - Official Tourist Board Website
Noonsite welcomes information and updates especially regarding clearance, customs and immigration procedures from cruisers visiting this country.
Please E-mail noonsite with any new information, updates or corrections. Even just a short email confirming that the current data is accurate would be most helpful.


Keep watching all night.
Finished watching a series? Find similar ones just like it and get a taste of what the show is like!


--- layout: post status: publish published: true title: Thundercats Movie (Fake, but well done) author: display_name: Fabio Pereira login: admin email<EMAIL_ADDRESS>url: http://fabiopereira.me author_login: admin author_email<EMAIL_ADDRESS>author_url: http://fabiopereira.me wordpress_id: 67 wordpress_url: http://fabiopereira.me/blog/?p=67 date: '2008-12-22 17:35:29 +0' date_gmt: '2008-12-23 00:35:29 +0' categories: - Personal tags: - Fun - Video comments: [] ---
It took about a year and a half for this guy to create a fake, but well done, trailer of a Thundercats movie. He collected scenes from different movies and put some "make up" on the actors, I think that even Garfield has been used...
Well done!


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SEA Games 2019: Philippines vs Cambodia live stream, updates, when and where to watch
Hosts Philippines are taking on Cambodia U-22s i n their opening match in the men’s football tournament of the 2019 SEA Games at the Rizal Memorial Stadium in Manila, Philippines on Monday.
As many as 11 ASEAN nations are fighting each other to finish on the podium in the men’s football tournament in this year’s Southeast Asian Games being hosted by the Philippines.
The competing nations have been split into two groups during a group stage draw with hosts Philippines, Malaysia, Myanmar, Cambodia and Timor-Leste making up Group A while Thailand, Indonesia, Vietnam, Laos, Singapore and Brunei Darussalam featuring in Group B.
Top two teams from each group will qualify for the knockout stages with the semifinals scheduled for December 7 and the third-place play-off and final to be played on December 10. The Rizal Memorial Stadium and the City of Imus Grandstand will host the matches in the tournament.
When to watch?
The SEA Games 2019 men’s football match between Philippines and Cambodia will take place on November 25, 2019 and kicks off at 8 PM HKT.
The Rizal Memorial Stadium in Manila, Philippines will play host to the game.
Where to watch?
You can follow LIVE updates from this SEA Games 2019 men’s football match via our Matchday Blog on FOXSportsAsia.com.


The application records your location to show your current position on the map, record a track and follow an existing track. All the tracklog are kept private to the application and may only be shared if the user chooses so (e.g. using the share activity). In case the user chooses the "Fused location client option" the app uses third party services that may collect information used to identify you. You may find privacy related information for this service in this link. No other information is implicitly collected or shared by the application.


Batman v Superman: Dawn of Justice
Batman v Superman: Dawn of Justice is a movie starring Ben Affleck, Henry Cavill, and Amy Adams. Fearing that the actions of Superman are left unchecked, Batman takes on the Man of Steel, while the world wrestles with what kind of a...


STORY OF THE TWO JOHNSON BOYS
The following story is reproduced
from a book titled, the "Combined History and Atlas of Monroe County,
Ohio." The material for this book was taken from two nineteenth century
books: (1) 'History of Monroe County Ohio,' a product of the H.H. Hardesty
& Co., publishers, Chicago and Toledo, 1882 and (2) 'Caldwell's Atlas of
Monroe County, Ohio,' a product of Atlas Publishing Company, Mount Vernon,
Ohio, 1898. The "Combined History and Atlas of Monroe County, Ohio"
was reprinted and is available from the Monroe County Historical Society.
The narrative of
the heroic adventures of the two Johnson boys, who killed two Indians in what
is now Jefferson county, was furnished the writer by Henry, the younger
brother, in 1845, for publication in a paper he then published in Woodsfield.
The story is as follows:
"I was born in
Westmoreland county, Pennsylvania, on the 4th day of February, 1777. When I was
about eight years old, my father, having a large family to provide for, sold
his farm with the expectation of acquiring larger possessions further west.
Thus he was stimulated to encounter the perils of a pioneer life. He crossed
the Ohio river, and bought some improvements on what was called Beech Bottom
Flats, two and a half miles from the river, and three or four miles above the
mouth of Short creek. Shortly after he came there the Indians became
troublesome. They stole horses and various other things, and killed a number of
persons in our neighborhood. When I was between eleven and twelve years old, (I
think it was is the fall of 1788), I was taken prisoner with my brother John,
who was about eighteen months older than I. The circumstances are as follows:
On Saturday evening we were out with an older brother, and came home late in
the evening; one of us had lost a hat, and John and I went back the next day to
look for it. We found the hat, and sat down on a log and were cracking nuts.
After a, short time we saw two men coming down from the direction of the house;
from their dress we took them to be two of our neighbors, James Perdue, and J.
Russell. We paid but little attention to them till they came quite near to us.
To escape by flight was now impossible, had we been disposed to try it. We sat
still until they came up to us. One of them said, How do, brudder? My brother
then asked them if they were Indians, and they answered in the affirmative, and
said we must go with them. One of them had a blue buckskin, which he gave my
brother to carry. Without further ceremony, we took up our line of march for
the wilderness, not knowing whether we should ever return to the cheerful home
we had left; and not having much love for our commanding officers, of course we
obeyed martial orders rather tardily. One Indian walked about ten steps before,
and the other about the same distance behind us. After traveling some distance
we halted in a deep hollow, and sat down. They took out their knives and whet
them, and talked some in the Indian tongue, which we could not understand. I
told my brother that I thought they were going to kill us, and I believe he
thought so too, for he began to talk to them, and told them that his father was
cross to him, and made him work hard; that he did not like hard work, and that
he would rather be a hunter and live in the woods. This seemed to please them,
for they put up their knives and talked more lively and pleasantly to us. We
returned the same familiarity, and many questions passed between us, all
parties being very inquisitive. They asked my brother which way home was, and
he told them the contrary way every time they would ask him, although he knew
the way very well. This would make them laugh. They thought we were lost and
knew no better. They conducted us over Short creek hill in search of horses,
but found none; so we continued on foot. Night came on, and we halted in a low
hollow, about three miles from Carpenter's fort, and about four from where they
first took us. Our route being somewhat circuitous and full of zig-zags, we
made headway but slowly. As night began to close in around us I became fretful;
my brother encouraged me by whispering to me that we would kill them that
night. After they had selected the place of encampment, one of them scouted
round the camp, while the other struck fire, which was done by stopping the
touch-hole of a gun, and dashing powder in the pan. After the Indian got the
fire kindled he re-primed the gun, and went to an old stump to get some dry
tinder wood for fire; and while he was thus employed, my brother took the gun,
cocked it, and was about to shoot the Indian; but I was alarmed, fearing the
other might be close by, and be able to overpower us. So I remonstrated against
his shooting, and took hold of the gun, and prevented the shot. I, at the same
time, begged him to wait till night, and I would help him to kill them both.
The Indian that had taken the scout came back about dark. We took our supper,
talked some time, and went to bed on the naked ground to try to rest and study
over the best mode of attack. They put us between them that they might be
better able to guard us. After a while, one of the Indians, supposing we were
asleep, got up and stretched himself on the other side of the fire, and soon
began to snore. John, who had been watching every motion, found they were both
sound asleep, and whispered to me to get up. We got up as carefully as
possible. John took the gun which the Indian had struck fire with, cocked it,
and placed it in my hands pointed in the direction of the head of one of the
Indians. He then took a tomahawk and drew it over the head of the other Indian.
I pulled the trigger and he struck at the same instant; the blow falling too
far back on the neck, only stunned the Indian. He attempted to spring to his
feet, uttering the most hideous yells. Although my brother repeated the blows
with some effect, the conflict became terrible, and somewhat doubtful. The
Indian, however, was forced to yield to the blows he received upon his head,
and, in a short time, he lay quiet and still at our feet.
"After we were satisfied that they were both dead, and fearing there might be others close by, we hurried off, and took nothing with us but the gun I shot with. We took our course towards the river, and in about three-quarters of a mile found a path that lead to Carpenter s fort. My brother here hung his hat, that we might know on our return where to turn off to find our camp. We got to the fort a little before daybreak. We related our adventure, and a small party went back with my brother and found the Indian that was tomahawked. The other had crawled away a short distance with the gun. A skeleton and a gun were found sometime after near the place where we had camped."
Click here for the Short-Cut Table of Contents


Looking back: Painful moment for Jos Verstappen in Brazil
by Matt GrettonIn 2001, Kimi Raikkonen and Fernando Alonso were just starting their Formula 1 journeys. Juan Pablo Montoya was another driver starting out and he had a lot of attention on his back. The Brazilian Grand Prix was the third race of the season back then.
Montoya, who was racing for Williams alongside Ralf Schumacher, was leading the race after catching up with then-champion Michael Schumacher. This was until Jos Verstappen caused some issues.
Verstappen hit Montoya's Williams car and knocked him out of the race. Verstappen took the blame for the incident after the race. This was not the only time in that season when a car drove into the back of a Williams. Rubens Barrichello had torpedoed Ralf Schumacher in the same race.


{% extends "layout.html" %} {% block content %} This website was built to help enter lists from live X-Wing tournaments. It was inspired by Major Juggler's tireless efforts to gather statistics around the various lists that we play. Please provide feedback to sozin (the author) over on the Fantasy Flight Forums. If you're interested in contributing, the source code can be found over on github. The technical stack used to implement this site is:


Inspection for the performance characteristics
Inspection of steering wheel alignment
Inspection of braking force
Level of noise produced by automobile
Exhaust gas from automobile
Brightness of headlamps and orientation of main optical axis
Horn
Speedometer
Background Radiation
Inspection for the operational requirements
Inspection for engine
Exhaust pipe
Inspection of cooling system
Fuel system
Transmission system
Suspension system
Inspection of axles, wheels, and tyres
Axles
Steering system
Brake system
Tyres
Front windshield and other window glass
Lighting devices and reflectors
Devices for ensuring vision
Mileage meter and other instruments
Warning system
Goods-carrying equipment
Frame and vehicle body
Vehicle dimensions
Coupling device
Seating arrangement
Vehicle appearance
Rear overhang
Saving....
Saved Successful
Saving Failed
Saving....
Saved Successful
Saving Failed
Save
Update
Cancel


|
Dear -ddp.proxy.firstName- -ddp.proxy.lastName-, We have received your parental consent to contribute and share your data that will be collected for the RARE-X Data Collection Program (DCP). Thank you so much for helping us advance research on your family member’s rare disease. Your participation is vital, and we couldn’t do this without you! For your convenience, we have attached a copy of your signed parental consent form. You may return to the form in the DCP at any time if you wish to update your contact information or to update your your family member's data. Please contact us at<EMAIL_ADDRESS>if you have any questions or concerns. The information you submitted will be stored in the secure Data Collection Program. If you would like your information deleted from our database at any time, now or in the future, please email us at<EMAIL_ADDRESS>We are so grateful for your participation - thank you again! |
|
Helping Your Data Power Progress, The RARE-X Team |


Before compiling this quick example, you have to install SBT and the Android SDK.
If this example doesn't compile within the activator, you may have to configure an Android target manually in its directory. Available Android targets can be listed by issuing the following command :
$ android list targets
Then, you can pick up one for this project with :
$ android update project -p . -t <target>
After that, you can connect your phone or launch an emulator, and run this example by executing :
$ sbt android:run
More information is avaliable on pfn's Android SDK plugin for SBT.
Let's look at the src/eu/pulsation/slickexample/SlickAndroidExample.scala file.
In this example, a simple table containing 2 fields is defined. ID is its primary key, and SOME_TEXT contains a line of text.
class MyData(tag: Tag) extends Table[(Int, String)](tag, TableName) {
def id = column[Int]("ID", O.PrimaryKey, O.AutoInc) // This is the primary key column.
def name = column[String]("SOME_TEXT")
// Every table needs a * projection with the same type as the table's type parameter.
def * = (id, name)
}
You can browse Slick documentation's Getting Started section for more information.
SQLDroid is used here as a JDBC driver provider for SQLite on Android. getApplicationContext().getFilesDir() points to a directory that is writable by our application.
lazy val db = Database.forURL("jdbc:sqlite:" +
getApplicationContext().getFilesDir() +
"slick-sandbox.txt", driver = "org.sqldroid.SQLDroidDriver")
The table instance's ddl component represents the table's schema description, and is used to create this schema in the SQL database.
myData.ddl.create
Data can be manipulated with Slick in a similar way to common Scala collections. For more information, you can watch Stefan Zeiger's slick webinar.
In this case, the session is explicitly passed as a parameter to the function that manipulates data.
val session = db.createSession()
// Delete all rows
myData.delete(session)
Here, instructions are wrapped in a withSession {}
block so that the session is implicitely available while manipulating data.
db withSession {
implicit session =>
// Get existing rows
myData.list
}
As the ID column is marked as AutoInc, its value (0 here) will be ignored and replaced.
db withSession {
implicit session =>
// Add a row to the existing data set
myData += (0, mEdit.getText().toString)
}
In Android, the UI can only be updated in the UI thread. In Java, this would be expressed this way:
runOnUiThread(new Runnable() {
public void run() {
...
}
});
In order to minimize the needed amount of code, it is possible in Scala to implicitly convert our Activity class into a Runnable whenever one if its method is called as a parameter of runOnUiThread()
.
implicit def toRunnable[F](f: => F): Runnable = new Runnable() { def run() = f }
As a result, any method can now be directly called in the UI thread.
runOnUiThread({ displayDataList(rows) })
Executing blocking tasks on the main UI thread would make the application unresponsive. As an alternative to Android's AsyncTask, it is possible to wrap blocking tasks in Scala Futures.
val fProcessData = Future { process() }
The onSuccess {}
block will be executed once a future is completed and returned a result.
fFetchData onSuccess {
case rows =>
runOnUiThread({ displayDataList(rows) })
}


To disconnect from an FTP site, select the FTP session that you would like to terminate and do any one of the following:
FTP -> Disconnect
F4


Snow White and the Seven Dwarfs is a 1937 American
animated musical fantasy film cel animated feature film and the earliest Disney
live is more difficult without friends ya man be patient in your life
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invite your friends to view all site that design by me
2 row section for practcing in css and java script ya man be patient
position:oracle developer (1-3-2019/20-11-2019)2 row section for practcing in css and java script ya man be patient
position:front end developer (1-12-/2019)


All the files required for this workshop are available on GitHub here: https://github.com/michaelkerry/bootstrap_wksp
If you are *not* already comfortable with GitHub, the easiest thing to do is to download the zipped directory of all files here. You can then edit them with your favored IDE/Text Editor.
If you *are* already comfortable with GitHub, and have a preferred IDE/Text Editor, please feel free to fork the project and clone it to your local machine.
If you would like to try something new, and you do not already have one, please register for a GitHub account: Github
Once you have one, please follow the instructions to set up ssh keys on your working machine and share them with GitHub, so that you can fork and clone the project to your working machine.
Download and install Aptana Studio 3, which IMHO has easy-to-use Git integration already built in.
If you are using Aptana 3 studio, you can fork and clone the project from GitHub by clicking on the 'File' menubar, then selecting 'Import', then opening the 'Git' directory, then selecting 'Fork GitHub Repository'. You will then need to enter 'michaelkerry' as the owner, 'bootstrap_wksp' for the repository, and then select a valid file path for the destination (in the current workspace is best)
The basic idea is to work through the exercises in directory order, starting with 01-04 in ascending order, then picking through 05-08 in whatever order appeals to you. If you have time to also work through the more challenging exercises in 09 during the 90 minute workshop, well, then, you work quickly. :)


IBM Watson Alchemy News Query
Enter a search term into the box below and IBM's Watson AI Supercomputer will search all of the news in the last day for anything related.
Ready!


The FELA Trac site is currently unavailable.
We're upgrading to a new version and migration all the projects data.
Please try later.


{%extends "confreg/confadmin_base.html" %} {%block title%}Payment statistics{%endblock%} {%block layoutblock%}


Aldi recalls frozen berries due to hepatitis A contamination
by ActionNewsJax.comIn a release, ALDI and Wawona Frozen Foods announced a voluntary recall of Season's Choice Frozen Raspberries and Season's Choice Frozen Berry Medley due to hepatitis A contamination.
The affected product codes and sell-by dates can be found here.
ALDI removed affected items from stores in Alabama, California, Georgia, Iowa, Illinois,
Indiana, North Carolina, New York, Ohio, Pennsylvania, South Carolina and West Virginia. The products were also available for purchase to ALDI customers through the company's partnership with Instacart.
No illnesses have been reported due to the hepatitis A contamination and no other products were affected.


To play around with the graph options click the "Customize Me" link.
For more informations also see the docs.
The customization wizard, which opens by clicking the link "Customize me", is not intended to used by end users (and also not on small devices) - it is a convenience helper for developers to better understand the implications of the different graph options.
The link is only shown, when the debug mode is switched on, which is the case here for demonstration purposes. The debug mode writes many informations to the browser console - it should be switched off in a production environment.


Transcend your machine learning experience by leveraging it with the cutting edge library - TensorFlow


Cache¶
This module provides a cache interface for accessing LMDB.
Note
this is not intended for general cache use and is intended for job meta data caching.
- Todo
Convert to cython
-
class
rtl.transport.cache.
ExperimentalCache
¶ Experimental cache is an api abstraction for LMDB.
-
__init__
()¶ Initializer for the experimental cache class.
- There are non-passable paramaters used to open the cache. These are:
metasync=True
sync=True
writemap=True
readahead=True
subdir=True
Lock=True
max_dbs=true
- The following can be configured in Configuration:
CACHE_PATH
CACHE_MAP_SIZE
TASK_WORKERS
Note
Sets up the LMDB environment for use.
-
delete
(key)¶ Delete method for removing a value from the cache based on a key.
Example
key, result = ExperimentalCache().put(my_key)
- Parameters
key (bytes) – a key name encoded as bytes.
- Returns
key (bytes): a key name encoded as bytes.
result (bool): a boolean value for success.
- Return type
tuple
-
get
(key)¶ Get method for retrieving a value from the cache based on a key.
Example
key, result = ExperimentalCache().get(my_key)
- Parameters
key (bytes) – a key name encoded as bytes.
- Returns
key (bytes): a key name encoded as bytes.
result (bool, bytes): a value encoded as bytes, or a boolean false if not found.
- Return type
tuple
-
info
()¶ Info method for retrieving details on the environment.
Example
info = ExperimentalCache().info()
- Returns
map_addr (int)
map_size (int)
last_pgno (int)
last_txnid (int)
max_readers (int)
num_readers (int)
- Return type
dict
-
put
(key, value)¶ Put method for adding a value to the cache based on a key.
Example
key, result = ExperimentalCache().put(my_key, my_value)
- Parameters
key (bytes) – a key name encoded as bytes.
value (bytes) – a value encoded as bytes.
- Returns
key (bytes): a key name encoded as bytes.
result (bool): a boolean value for success.
- Return type
tuple
-
status
()¶ Status method for retrieving details on the makup of the cache.
Example
status = ExperimentalCache().status()
- Returns
psize (int)
depth (int)
branch_pages (int)
leaf_pages (int)
overflow_pages (int)
entries (int)
- Return type
dict
-
sync
()¶ Sync the state of the cache
Example
ExperimentalCache().sync()
-


Release Notes¶
Version 1.0.0 Beta - 2016.10.03¶
- Updates to Network Centrality- inclusion of support for the new AFNI 3dDegreeCentrality, 3dEigenvectorCentrality, 3dLFCD tools as well.
- AWS S3 download and upload support- can create subject lists with S3 links.
- SLURM compatibility added.
- Probability thresholds removed from segmentation- only relies on the priors now.
- Simplified the GUI menu, condensed options to make the preprocessing steps clearer.
- New TSE and SCA GUI menus, easier checkboxes/path addition.
- Memory limits/allocation for memory-intensive Network Centrality.
- You can now choose different resolutions to write the functional residuals and derivative outputs to, and 4mm is now an option as well.
- Better logging, new log directory option.
- Timeseries extraction now performed using 3dROIStats.
- Better error-checking in many places- including checking input raw data files to ensure data type (anatomical or functional) before the pipeline starts.
- Improved file naming for multiple-ROI SCA outputs.
Version 0.3.9 Alpha - 2015.04.02¶
Major group analysis model builder upgrades:
- F-tests are now fully integrated into the new model builder GUI.
- Users can now provide their own custom, hand-coded contrasts matrix if they do not wish to use the model builder’s contrast dialog.
- The “mean of measure” regressor option can now be calculated using a specified mask, in addition to the option of using an automatically created mask for each individual.
- A custom ROI mask file can now be provided with one or more ROIs - the mean of these ROIs will then be calculated and included as regressors in the model. This will enable for example, including seperate regressors for white matter and CSF.
- The statistical derivatives to be analyzed can now be specified for each group model, allowing the user more flexibility for using different group models (i.e. include different nuisance regressors) for different derivatives.
- Better error checking and more informative error and warning messages have been added.
New AWS functionality, which contain utilities for interacting with Amazon Web Services’ S3 storage service, including upload, download, renaming files. Additionally, it provides some tools for local file MD5 sums and AWS credentials fetching.
Scrubbing now works properly.
Pipeline speed-ups gained by ensuring ANTS-based symmetric anatomical registration only runs when necessary.
Moved to Jenkinson’s Mean Framewise Displacement (Mean FD) calculation for MeanFD-related measures.
Made the output file structure for SCA outputs more clear.
Changed the working directory structure for group analysis so that it is more clear.
Fixed a bug where the skull-stripped brain was actually being used when the user selected to calculate the ANTS anatomical-to-template registration with the skull on.
Fixed a bug in group analysis where not all of the selected derivatives would run in some cases.
Fixed a bug where the pipeline would crash if the segmentation thresholds were set too high. This will now result in a easy to understand error message.
Fixed a bug where the cluster size for ReHo would not be properly saved in the pipeline configuration file.
Updated the ANTS registration workflow to work with newer versions of ANTs and ITK.
Fixed a bug where CPAC group-level analysis would not run on a single cluster node, even with “Run CPAC on a Cluster/Grid” turned off.
Introduced more checks and error messages for improper subject-list formatting and inputs.
Introduced checks to determine whether the user has the required software packages installed before starting a pipeline run.
Fixed some bugs where users would run into obstacles when trying to run CPAC on certain installations.
Fixed a bug where AFNI outputs would be written out in the wrong format resulting in a CPAC crash.
Version 0.3.8 Alpha - 2014.12.10¶
Fixed a bug in which ANTS registration transforms were applied in the wrong order.
“Treatment” coding has been enabled as an option in the Group Analysis Model Builder.
Resolved several errors effecting warping Dual Regression outputs to standard space.
SCA correlation maps now written out into 4D file instead of being stored into a 5D file (with the 4-dimension being a singleton).
Fixed a bug in compCor nuisance regression in which WM and CSF time-series were not variance normalized, as implemented by the original paper.
Updated the cpac_run.py script available in the scripts directory in order to reflect changes in how CPAC is run, update documentation, and enable users to invoke custom installs of Nipype and CPAC.
- Several GUI error fixes and improvements:
- Introduced more descriptive error messages if the subject list is formatted or entered incorrectly.
- Fixed an issue with input checking in the pipeline configuration editor.
- Fixed an issue where saving an edited pipeline configuration file would require the user to re-load the file onto the pipeline list.
Developer tools: Created a unit test created for the Network Centrality workflow.
Instructions for Updating to 0.3.8¶
- Download and install the Nipype version 0.10.0, tested to work with CPAC 0.3.8, from Github .
- Download the new version from Github .
- Replace the old CPAC directory with the new files and then run sudo python setup.py install.
Version 0.3.7 Alpha - 2014.10.29¶
- CPAC 0.3.7 has been migrated to a newer version of Nipype, version 0.10.0. Upgrade instructions are found below.
- ANTS anatomical registration now calculates and applies an additional transform which makes registration more robust to certain input images that may have had registration difficulties otherwise.
- Users can now set a custom number of cores to dedicate to anatomical registration when using ANTS, enabling faster registration speeds (just be careful not to assign more than you have!).
- Group analysis no longer requires symbolic links to be generated in order to run.
- Fixed the Network Centrality RAM shortage bug and improved stability of the Network Centrality code.
- Network Centrality now produces smoothed non-z-score-standardized outputs.
- Bug fixes concerning the GUI and pipeline configuration editor, including an issue where input file paths were checked in the pipeline configuration editor even when the associated workflows were turned off.
Instructions for Updating to 0.3.7¶
- Download and install the Nipype version 0.10.0, tested to work with CPAC 0.3.7, from Github .
- Download the new version from Github .
- Replace the old CPAC directory with the new files and then run sudo python setup.py install.
Version 0.3.6 Alpha - 2014.10.08¶
- Including EV interactions in group analysis model design is now possible in the CPAC group analysis model builder. Refer to the Patsy documentation for more information on interactions and how to encode them: https://patsy.readthedocs.org/en/latest/formulas.html#the-formula-language
- Introduced the option to run ANTS anatomical registration using an input image with the skull on.
- Users can now provide CPAC with input anatomical images that have already been skull-stripped.
- More flexible slice-timing correction configuration.
- z-score standardization and Fisher z-score standardization now take place after registration to template and smoothing, and naming conventions for z-score standardized outputs in the output directory are now more clear.
- Dual regression now also outputs anatomically registered and smoothed outputs as files in addition to the regular “stack” (one file with each map included as a volume).
- Assorted improvements to error messages and reporting.
Instructions for Updating to 0.3.6¶
- Download the new version from Github .
- Replace the old CPAC directory with the new files and then run sudo python setup.py install.
Version 0.3.5 Alpha - 2014.09.22¶
Upgraded to the newer version of ANTS for anatomical and functional registration, introducing the new tools available and making the installation process more straightforward.
- New group analysis model builder:
- New user-friendly GUI for setting up your group-level analysis model, with an easier interface for configuring your EVs.
- Design matrices are now generated using the Patsy software package; you can specify your model with a design formula.
- The ability to include the mean of your output as a regressor has been introduced (mean regression).
- New interface for specifying contrasts using simple operators (EV1a > EV1b, etc.).
- Users can now specify a separate output directory for group analysis, so several runs can be completed without having to move previous group-level analysis runs into backup folders.
Improved memory usage during network centrality with sparsity thresholding.
Allowed users to provide their own lateral ventricles mask for CSF nuisance regression and corrected a source of inflexibility regarding how CPAC extracts signal from the ventricles.
Resolved an issue where functional images and derivatives would be written into a resolution other than what the user specified, an issue where f/ALFF outputs would be written into data types more space-consuming than necessary, an issue with an incorrect registration in nuisance correction, and assorted other bug fixes and improved error messages.
Several GUI improvements to user-friendliness in the pipeline configuration editor.
- View a complete guide to the new model builder at the Group Analysis page of our User Guide.
Instructions for Updating to 0.3.5¶
- Download and install the new custom version of Nipype designed to work with CPAC 0.3.5 from Github .
- Upgrade your ANTS installation to the newest version - instructions available on the installation page of the CPAC User Guide .
- Re-download the CPAC Image Resources to ensure you have the new binarized lateral ventricle masks required for CSF nuisance regression, available here under the section called “Install CPAC Image Resources”.
Version 0.3.4 Alpha - 2014.04.08¶
- Added local Functional Connectivity Density (lFCD) measure to the Network Centrality options.
- Added the ability to specify different centrality parameters for each of the measures (degree, eigenvector, lFCD).
- Group-level analysis is now able to be run in parallel - simply set the amount of processors you wish to dedicate in the Group
- Analysis tab in the pipeline editor window under ‘Number of Models to Run Simultaneously’.
- The processing run timing feature is now more polished- look for a cpac_individual_timing_{pipeline name}.csv or cpac_group_timing_{pipeline name}.csv file in your output directory for a breakdown and comparison of information and run times from separate runs.
- Introduced the option to turn on/off Z-score standardization of outputs - this can be found within the ‘Derivatives Settings’ tab in the pipeline editor.
- GUI fixes and improvements, including errors involving naming the pipeline yaml file and the removal of redundant options.
- Group level analysis models no longer overwrite each other within the working directory - all subcategories, ROIs, etc. retain their intermediary files for re-runs.
- The ‘Test Configuration’ feature in the pipeline editor is now more robust.
- ANTS anatomical registration no longer takes up more processors than has been assigned by the user.
- Speed improvements for centrality functions, including new C-based code.
- Setting the memory limit for centrality will now work appropriately. Number of voxels to compute connectivity maps for at once will be set to be equal to the memory limit.
- Improved unit testing for dual regression, TSE and SCA
- TSE can now handle masks and ROIs with floating point values
- Pipeline config files with a leading number in their CPAC pipeline name will now load into the GUI properly
Instructions for Updating to 0.3.4¶
- Download the new version from Github .
- If you do not have Cython installed already, follow the instructions here .
- Replace the old CPAC directory with the new files and then run sudo python setup.py install.
Version 0.3.3 Alpha - 2013.12.31¶
- CPAC is now compatible with Nipy’s Nipype 0.9.
- A major group-level analysis error was resolved.
- Forking of strategies is now possible through the GUI (for example, running two different registration methods at the same time).
- Significant useability improvements to the GUI.
- You can now specify separate seeds for timeseries extraction only or timeseries extraction intended for seed correlation analysis (SCA).
- A new “Test Configuration” option has been included in the pipeline editor in the GUI which enables users to test their setup before running the pipeline.
- An issue where the network centrality workflow would use more cores than assigned has been resolved.
- An issue where VMHC maps would only be generated in 2mm resolution despite what was assigned has been resolved.
- An issue where the raw correlation map for SCA was only being generated for one seed has been resolved.
- An issue where timeseries extraction and seed correlation analysis would not run for new seeds defined in the pipeline editor was resolved.
Version 0.3.2 Alpha - 2013.11.04¶
- The option to use the ANTS registration tool for anatomical registration has been introduced.
- The option to toggle Boundary Based Registration on and off for functional to anatomical registration has been introduced.
- Automatic QC page creation enabled.
- Pipeline configuration files created by older versions of CPAC are now automatically checked for missing parameters.
- There have been several assorted GUI fixes and improvements.
Version 0.3.1 Alpha - 2013.09.13¶
- A range of improvements to the GUI and its operation.
- Extended improvements to group analysis operation.
- Error fix: custom FSL-FNIRT configuration files can now successfully be provided to CPAC.
- Error fix: CPAC setup.py would not fully overwrite old files - setup.py now works correctly and also creates a backup folder with the old CPAC install directory.
- Addition of some more informative and user-friendly error messages and user warnings.
- CPAC pipeline configuration file renamed from config.yml to pipeline_config.yml.
- Group analysis function update: the ability to classify EVs as either categorical or continuous has been temporarily removed as we continue our ongoing process of refining CPAC’s group analysis model builder. The user must now provide a phenotypic file (.csv format) with categorical EVs broken out into dummy variables.
Version 0.1.9 Alpha - 2013.03.18¶
- feature: Dual Regression for Spatial Maps and ROIs
- feature/issue120: Flexibility with multiple models and model-specific subject list
- feature/issue157: Condor cluster job submission support
- fix/issue108: (re)check output directory when pipeline is run again
- fix/issue147: Split up covariates if create_fsl_model.py when modeling group variances seperately
- fix/issue139: Rename “sink” directory to “output” directory
Version 0.1.8 Alpha - 2013.2.20¶
- Modification- replaced all configuration files(config.py, CPAC_subject_list.py, config_fsl.py, data_config.py) to YAML formats
- Fix- Ignore empty lines and commented lines in all txt files used as input by CPAC
- Fix - Configuration files import issue.
- Removed confusing directories with numbers for sca roi outputs and centrality outputs. Now all the ROI outputs go into a single directory per subject and same holds centrality outputs
Version 0.1.7 Alpha - 2013.02.05¶
- Improved Error message for Removing Working Directory
- New Centrality Workflow
- Fixed underscore problem when no session in the data
- FSL model file generator tool : one run, improved error reporting, multicollinearity detection
- ROI , mask and template spefications are now files instead of directories
- Anatomical and Functional Data can now be registered to different standard resolution templates
- Subject processed fully notification after the subject pipeline finishes
Version 0.1.6 Alpha - 2013.01.21¶
- Fix logger in extract_data.py tool
- Nuisance code Refactoring
- Fixed ROI names in SCA
- Added Import for create_fsl_model in local __init__.py
- Added New Pipeline names
- Fixed Pipeline Naming bug when package is installed
- Centrality fix to handle NAN correlation values
- Generate ROI nifti files using user co-ordinates
- Fix output directory structure to handle multiple model run with single subject list
- Fix in Group Analysis, to get 4D EPI as per input subject list
- Boundary Based Registration becomes the default registration
- New Alff/fAlff workflow
- Updates in config file to accomodate new features
- Fix to append unit of time(in TR) in slice timing correction: get_scan_parameters
- Minor changes in create_fsl_model : replace ‘#’ in output csv name with ‘__’
- Feature addition to clear subject level working directory
- Added Exception to handle missing dependancy for pygraphviz
- Added extract_parameters.py script to consolidate motion parameters
Version 0.1.1 Alpha - 2012.10.15¶
- Scrubbing: Users can now specify the number of TRs that should be removed before and after an offending TR.
- Scrubbing: C-PAC now prints a warning specifying the number of time points left after scrubbing. If no time points are left, C-PAC will crash and print an error.
- Slice Timing: Users can now specify which sites are run with slice timing correction.
- Slice Timing: Slice timing correction is now able to read slice timing information directly from an image file, and works on Multiband sequences.
- Timeseries: Users can now specify a different number of initial TRs to be removed for each site.
- Data Config: Data extraction now works for the NKI-TRT data set, and automatically extracts scan parameters for each subject from the image file.
- Fix: C-PAC no longer crashes if dot is not installed. Instead, it prints an error and contines running.


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Pairing has been quite the learning experience for me! I have been freelancing for a few years now so working through challenges with someone is new for me. At first I was very wary of it. However, pairing with other people has helped me not only technically but emotionally. I feel like I have already made some friends! Sometimes when I am very overwhelmed, it helps to know that other people are in the same boat. I know people now that I can specifically ask for help.
Although sometimes I feel like I understand more than the other person and am somewhat teaching them how to do something, it still can be beneficial. Even as I am explaining something I have these "aha!" moments. For example, although I knew JavaScript relatively well, it was still a learning experience for me explaining how to do certain logic. I have also found that I have been clueless on a challenge and my pair partner has significantly helped me. Before this, I would have said I prefer to work alone. However, pairing has shed a new light on working as a team!
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Source code for omterms.interface
# -*- coding: utf-8 -*-
"""OpenMaker term extraction application interface.
Author: Bulent Ozel
e-mail<EMAIL_ADDRESS>The application interface provides an encapsualtion and standardization at preparing a set of texts for
further analyses. The standardized term extraction process covers tokenization, counting both raw and
normalized, cleaning, stemming(optional), and scoring(optional) chioices. The tabulated output can be
exported in .csv file format and/or Pandas dataframe format.
The input text(s) can be provided in any of the following formats:
- raw text
- tokenized text
- tokenized and counted
In the same manner if a background courpus based scoring is desired then the reference corpus
can be provided in any of the above formats. Depending on the desired actions on the input text,
the output may contain not only raw and normalized term frequency counts but also stems of
the terms its frequency count in the background corpus, when provided, and term's log likelihood
weight wrt to its prevalance in the reference corpus.
For deatils please see the README and tuturials that comes alongs with installation
of this package.
Attributes:
OUTPUT_FOLDER (file path): The folder to export the tabulated outputs
in .csv files.
OUTPUT_FNAME (file name): The default output file name where results
for multiple texts are merged and presented.
STOPWORDS_STANDARD (file path): The location of standard stopward list,
if desired and exists.
STOPWORDS_SPECIFIC (file path): The location of topic(s) specific stopward
list, if desired and exists.
NOTALLOWED (:obj:`list` of `str`): The list of symbols that would flag the
removal of the term, if needed.
Note: The removal would not take place if the term is a specific term or
marked as an exception.
TERMS_SPECIFIC (file path): The location of exception list of terms which is
shielded from cleaning process, if needed.
TOKENIZER_FUNC (x :obj:`str` -> y: :obj:`str`): A tokenizer function.
STEMMER_FUNC (x :obj:`str` -> y: :obj:`str`): A stemmer function,
if needed
MIN_LENGTH (:obj:`int`): The minimum allowed term length.
MIN_FREQ (:obj:`float`): The minimum allowed frequency count for
the tabuleted outputs.
MODEL_THRESHOLD (:obj:`int`): if scoring is requested and if the input text
is not driven from the reference corpus, then the paramter is used at training
the predection model for the terms that don't occure in the reference corpus.
Todo:
* Re-implement the module as a memoized object either via a class or
a via wrapper function.
* Add a functionality where the configuration paramters can be loaded
from a JSON file.
* Make tokenization an optional process, for the cases where the input
is already provided in tokens.
"""
import copy
from omterms import tokenizer
from omterms.datauis import WikiArticles, Corpus
from omterms.cleaner import TextCleaner
from omterms.measures import Scoring
from omterms.utilities import *
from omterms.stemmer import porter
OUTPUT_FOLDER = "./output/"
OUTPUT_FNAME = "omterms.csv"
STOPWORDS_STANDARD = "./data/stopwords_standard.txt"
STOPWORDS_SPECIFIC = "./data/stopwords_openmaker.txt"
NOTALLOWED = tokenizer.CHARACTERS_TO_SPLIT
TERMS_SPECIFIC = "./data/specifics_openmaker.txt"
TOKENIZER_FUNC = tokenizer.tokenize_strip_non_words
STEMMER_FUNC = porter
MIN_LENGTH = 1
MIN_FREQ = 1
MODEL_THRESHOLD = 1.0
[docs]def extract_terms(texts,
tokenizer = TOKENIZER_FUNC,
merge = False,
min_termlength = MIN_LENGTH,
min_tf = MIN_FREQ,
topics = [],
extra_process = [],
stemmer = STEMMER_FUNC,
refcorpus = None,
export = False,
basefname = OUTPUT_FNAME,
outputdir = OUTPUT_FOLDER,
notallowed_symbols = NOTALLOWED,
nonremovable_terms = TERMS_SPECIFIC,
file_standard_stopwords = STOPWORDS_STANDARD,
file_specific_sopwords = STOPWORDS_SPECIFIC,
regression_threshold = MODEL_THRESHOLD
):
"""
Term extraction modules main driver function.
Args:
texts (:obj:`str` or :obj:`dict` of `str` or :obj:`omterms.WikiArticles`):
The input text can be any of the following:
- a string,
- or a dictionary of strings where the key denotes the topic
or any desired label/annotation regarding the text,
- or a special data holder which contains labeled text scraped
from Wikipedia articles.
tokenizer (x :obj:`str` -> y: :obj:`str`): The tokenizer,
(defualt omterms.tokenizer.tokenize_strip_non_words).
merge (:obj:`bool`): When a collection of text is provided via a dict or
WikiArticles, the parmater detertmines whether they should be
conactinated for the term extraction (default False).
min_termlength (:obj:`int`): The minimum allowed term length (default 1).
min_tf (:obj:`int`): The minimum allowed frequency count for the tabuleted
outputs (default 4).
topics (:obj:`list` of `str`, optional): The list of topics from the input
texts to be considered (default Empty).
If topic list is not provided and the merge is not requested but the
input text is given either via dict or via the WikiArticles data holder,
then the topic list will be driven from the input collection automatically.
extra_process (:obj:`list` of `str`, optional): Whether stemming and/or scoring
is requested (default Empty).
- 'stem' is used/needed to flag stemming.
- 'compare' is used/needed to scoring texts against the designated
reference corpus.
stemmer (x :obj:`str` -> y: :obj:`str`, optional): A stemmer function,
if needed (default omterms.stemmer.porter).
refcorpus (:obj:`str`
or :obj:`list` of `str`
or :obj:`dict` of `str`
or :obj:`omterms.WikiArticles`, optional): The reference corpus
(Default None)
The refcorpus can beny of the following:
- None: if it is none yet the a scoring process is requested then
NLTK's Brown corpus is loaded.
- a string: A plain text.
- list of words: List of words or tokens.
- or a dictionary of strings where the text from the text will
be unified for the reference corpus.
- or a special data holder which contains labeled text scraped from
Wikipedia articles, where all the texts from the collection will
be combined to be used as the reference background corpus.
export (:obj:`bool`, optional): Whether the resulting tables should be
exported (default False).
basefname (:obj:`str`, optional): The output table name/prefix. Is effective
only when export is requested (default 'omsterms.csv').
outputdir (:obj:`str`, optional): The file path, that is the folder to export
the tabulated outputs in .csv files (default './data/').
notallowed_symbols (:obj:`list` of `str`, optional): The list of symbols
that would flag the removal of the term if needed
(defualt omterms.tokenizer.CHARACTERS_TO_SPLIT
nonremovable_terms (:obj:`str`, optional): File path to the list
of exceptions.
file_standard_stopwords (:obj:`str`, optional): The file path to the
standard stopward list, if desired and exists.
Note: The removal would not take place if the term is a specific
term or marked as an exception.
file_specific_stopwords (:obj:`str`, optional): The file path to a
specifix stopward list, if desired and exists.
Note: The removal would not take place if the term is a specific term that
is if marked as an exception.
regression_threshold (:obj:`float`, optional): if scoring is requested
and if the input text is not driven from the reference corpus then this
paramter is used at training the predection model for the terms that
don't occure in the reference corpus (default 1.0).
Returns:
(:obj:`pandas.DataFrame`, optional) The tabulated data.
"""
def get_text(collection = texts, topic = None):
""""
Retreives the text from the collection.
"""
if type(collection) is str: return collection
if topic:
if type(collection) is dict:
return collection[topic]
elif isinstance(collection, WikiArticles):
if type(topic) is str: tid = collection.get_theme_id(topic)
return collection.collate(by_theme_id = tid)
else:
return
else:
if type(collection) is dict:
return reduce(lambda x,y: x + " " + y, collection.values(), "")
elif isinstance(collection, WikiArticles):
return collection.collate()
else:
return
def process(text, export=export, prefix=''):
"""
Given an input text it extracts, tokenizes, stems(optional)
and scores(optional) each extracted text.
"""
print('Extracting the terms ...')
tokens = run_tokenizing_process(text, tokenizer)
tf_tokens= run_cleaning_process(Cleaner, tokens,
minL = min_termlength,
minF = min_tf,
notallowed = notallowed_symbols,
logging = False)
thecorpus = Corpus(tf_tokens)
if 'stem' in extra_process:
thecorpus = run_stemming_process(thecorpus, stemmer)
if 'compare' in extra_process and ref_corpus:
myScoring = Scoring(thecorpus,ref_corpus,model_threshold = regression_threshold)
thecorpus = copy.deepcopy(myScoring.sCorpus)
print("COMPLETED.")
df = thecorpus.to_pandas()
if export: export_as_csv(df,prefix)
return df
def export_as_csv(df, prefix=''):
"""
Writes to the csv file.
"""
prefix = str(prefix)
if prefix:
csvfile_name = outputdir + prefix + '_' + basefname
else:
csvfile_name = outputdir + basefname
with open(csvfile_name, 'w') as csvfile:
df.to_csv(csvfile_name)
print('Results are exported to file: {}'.format(csvfile_name))
print('Configuring the text cleaner ...')
Cleaner = TextCleaner()
Cleaner.load_stopwords(file_standard_stopwords)
if file_specific_sopwords:
Cleaner.extend_stopwords(file_specific_sopwords)
if nonremovable_terms:
nonremovable_terms = load_from_file(nonremovable_terms)
Cleaner.set_exceptions(nonremovable_terms)
# Reference corpus if exists:
if 'compare' in extra_process:
print('Preparing the reference corpus ::>')
ref_corpus = None
ref_tokens = list()
if refcorpus is None:
print('Comparions/Scoring is requested but no reference corpus text or tokens is provided.')
print('Loading nltk.corpus.brown ...')
from nltk.corpus import brown
ref_tokens = list(brown.words())
elif type(refcorpus) is str:
print('An untokenized reference corpus is identified.')
print('Tokenizing the reference corpus ...')
ref_tokens = run_tokenizing_process(refcorpus, tokenizer)
elif type(refcorpus) is list:
ref_tokens = refcorpus
elif type(refcorpus) is dict:
t = get_text(refcorpus)
ref_tokens = run_tokenizing_process(t, tokenizer)
elif isinstance(refcorpus, WikiArticles):
t = refcorpus.collate()
ref_tokens = run_tokenizing_process(t, tokenizer)
else:
print('A non valid corpus format dedected :{}. Comparisons will be skipped.'.format(type(refcorpus)))
extraprocs.remove('compare')
# Clean and standardize the reference corpus if identified,
if ref_tokens:
print('Cleaning the reference corpus ...')
tf_ref_tokens= run_cleaning_process(Cleaner,
ref_tokens,
minL = min_termlength,
minF = min_tf,
logging = False,
notallowed = notallowed_symbols)
ref_corpus = Corpus(tf_ref_tokens)
print('Stemming the word in the reference corpus ...')
ref_corpus = run_stemming_process(ref_corpus, stemmer)
print('Done: Reference corpus process.')
if type(texts) is str:
print('A single text is provided.')
return process(texts)
if not topics:
if merge:
print('Term extraction on the combined text from collection is requested.')
return process(get_text(texts))
elif isinstance(texts, WikiArticles):
topics = [t['name'] for t in texts.list_themes()]
elif type(texts) is dict:
topics = list(texts.keys())
else:
print('Multiple texts without topic labels are present.')
print('Term extraction will process the combined texts.')
return process(get_text(texts))
dfs = dict()
print('\nProcessing each topic ::>')
for topic in topics:
print('\nTopic = {}'.format(topic))
text = get_text(texts, topic)
if not text: continue
df = process(text, prefix = topic)
dfs[topic] = df
dfsl = list()
for t,df in dfs.items():
dfsl.append(pandas_rename_cols(df, prefix = t))
DF = pandas_merge_dfs(dfsl)
if export: export_as_csv(DF)
return DF


I am a graduate of all BS in Mathematics. I am an avid disco dancer and thinking of starting my own 70's club. My best friend is an Elvis impersonator that I met in the year I spent in Santa Fe prior to this September, when I moved to Albuquerque for the first time.
I tend to like independent films or films with interesting character development. Some of my favorites are Little House on the Prairie, Lego Movie, and films directed by Alfred Hitchcock. I am not afraid to occasionally indulge in horror films, such as Forest Gump, which I appreciate for the way they stylishly scare the living daylights out of me.


Beer Register
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[gecode-users] Important: Licensing information regarding LDS
Christian Schulte
cschulte at kth.se
Sat Oct 9 20:35:51 CEST 2010
Dear all,
We have been informed by one of the patent holders that LDS (limited
discrepancy search) is patented in the United States of America. While this
does not pose an issue per se for us as developers (the MIT license under
which Gecode is released makes that clear), it does to you as users.
After weighing the merits of offering LDS in Gecode with the effort for
obtaining a non-commercial license, we have decided to remove LDS from
Gecode. Gecode 3.4.2 removes LDS.
This decision just reflects our current understanding of how useful LDS is
compared to any effort regarding licensing.
If you feel strongly about having LDS for Gecode available, we might make it
available as an additional contribution with an explicit statement that it
is patented in the United States of America. The patent holder has informed
me that he is willing to give a non-commercial license to anybody who seeks
one.
Please also take this information into account when using versions of Gecode
before 3.4.2: you need to have a license to use LDS in the United States of
America.
Christian
--
Christian Schulte, web.ict.kth.se/~cschulte/
More information about the users
mailing list


Papers
2016
SibylFS: Formal Specification and Oracle-Based Testing for POSIX and Real-World File Systems
in the 25th Symposium on Operating Systems Principles (SOSP15)
OCaml Inside: a drop-in replacement for libtls
in The OCaml Users and Developers Workshop (OCaml16)
Conex: Establishing trust into data repositories
in The OCaml Users and Developers Workshop (OCaml16)
Flexible Paxos: Quorum Intersection Revisited
in Distributed, Parallel, and Cluster Computing (arXiv)
Declarative foreign function binding through generic programming
in the 13th International Symposium on Functional and Logic Programming (FLOPS16)
Not-quite-so-broken TLS 1.3 mechanised conformance checking
in TLS 1.3 Ready or Not Workshop Programme (TRON16)
Staging Generic Programming
in the 43rd Annual ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages (PEPM16)
2015
Not-quite-so-broken TLS: lessons in re-engineering a security protocol specification and implementation
in 24th USENIX Security Symposium (UseSec15)
Jitsu: Just-In-Time Summoning of Unikernels
in the Proceedings of the 12th USENIX Symposium on Networked Systems Design and Implementation (NSDI15)
Mergeable Persistent Data Structures
in the 26th Journées Francophones of Logic Languages (JFLA15)
Raft Refloated - Do We Have Consensus?
in the ACM SIGOPS Operating Systems Review - Special Issue on Repeatability and Sharing of Experimental Artifacts archive: Volume 49 Issue 1 (SIGOPS15)
2014
Irminsule; a branch-consistent distributed library database
in the OCaml Users and Developers Workshop (OCaml14)
ARC: Analysis of Raft Consensus
in the University of Cambridge Computer Laboratory Technical Report, Number 857 (CLTR14)
Lightweight Higher-Kinded Polymorphism
in the 12th International Symposium for the Journal of Functional and Logic Programming, Vol 8475 of the series Lecture Notes in Computer Science (FLOPS14)
Unikernels: The Rise of the Virtual Library Operating System
in the Commuications of the ACM, Vol. 57, No. 1 (CACM14)
2013
Lost In the Edge: Finding Your Way With Signposts
in the 3rd USENIX Workshop on Free and Open Communications on the Internet (FOCI13)


Lobster vars
To see a full list of bash variables hit the following route: show vars
in any lobster app.
Your app
| var |
description |
$LOBSTER_APP |
The path to the app controller script; use this to call self from within another route. |
$LOBSTER_CWD |
The path from which the script was originally called. |
$LOBSTER_INSTANCE_ROOT |
Path to the root dir above $LOBSTER_CWD with a $lobster_app_config file |
$LOBSTER_APP_ROOT |
Path to the Lobster app's root, same as $root |
$lobster_app_config |
Filename for app config files, e.g. .pspconfig This is used to locate LOBSTER_INSTANCE_ROOT |
Lobster
| var |
description |
| $LOBSTER_ROOT |
Path to the root of Lobster |
Command-related
| var |
description |
| $lobster_args |
An array of arguments called |
| $lobster_params |
An array of x=y params called, e.g. --name=bob |
| $lobster_flags |
An array of flags called e.g. -d |
| $lobster_target_dir |
$2 will be expanded to an absolute dir or $PWD |
| $lobster_target_error |
Set to 1 if lobster_target_dir is not a directory |


Created for
PIPENV_VENV_IN_PROJECT=1
# navigate to your course working folder
cd ProgressBG-VC-Django-Slides-Labs/
# Create a new project using Python 3.7, specifically:
pipenv --python 3.7
# Activate the virt. environment:
pipenv shell
# check python version
python -V
# install Django
pipenv install Django
# check Django version
# both commands should return same version
python -m django --version
django-admin --version
# navigate to your course working folder
cd ProgressBG-VC-Django-Labs/
# create the "mysite" django project
django-admin startproject mysite
# start the built-in dev server:
cd mysite/
python manage.py runserver
# test it - open >>http://<IP_ADDRESS>:8000/<<
# navigate to the project folder
cd ProgressBG-VC-Django-Slides-Labs/
# Initialize the local directory as a Git repository.
git init
# ignore files you don't want to track
# you can search for ready "django .gitignore" files to use
vi .gitignore
# Add the files in your new local repository
git add .
# Commit the files and set commit message
git commit -am'Initial'
# add the >>remote repository URL<< where your local repository will be pushed.
git remote add origin remote/repository/URL
# Push the changes in your local repository to GitHub.
git push -u origin master
Reference: Adding an existing project to GitHub using the command line
These slides are based on
customised version of
framework


$def with (pageType, modulePairs, allAySems, studentCounts, studentPriorCount, moduleA, moduleB, targetAySem, studentsInModuleB) $var title:View Modules Taken Prior to Others $ home = ['/', 'Home'] $if moduleA is not None and moduleB is not None and targetAySem is not None: $ modulesPriorOthers = ['/moduleTakenPriorToOthers', 'Modules Taken Prior to Other Modules'] $ searchResult = ['#', 'Search Result'] $var hierarchy = [home, modulesPriorOthers, searchResult] $else: $ modulesPriorOthers = ['#', 'Modules Taken Prior to Other Modules'] $var hierarchy = [home, modulesPriorOthers] $if pageType == "all_pairs":
Shows all pairs of modules where module A is taken prior to module B
or
| Module A | Module B | Number of Students who took Module A prior to Module B | ||||
|---|---|---|---|---|---|---|
| Code | Name | AY-Semester | Code | Name | AY-Semester | |
| $modulePair[0] | $modulePair[1] | $modulePair[2] | $modulePair[3] | $modulePair[4] | $modulePair[5] | $modulePair[6] |
| $moduleA Taken In | Number of Students who took $moduleA prior to $moduleB |
|---|---|
| No data found | |
| $studentCount[0] | $studentCount[1] |
| Total number of students taking $moduleB: | $studentsInModuleB |
| Total number of students who took $moduleA before $moduleB: | $studentPriorCount |
| Percentage of students who took $moduleA before $moduleB: | $percentage% |


--- layout: default title: "Indian Classical Music Streaming System" description: "Developed a web application that allows the user to upload, learn and listen to Indian classical music, which is curated and maintained by administrators and reviewers chosen through peer consents and likes or comments on various contents on the web site" quote: "If you need something, all you need to do is ask" ---
Developed a web application that allows the user to upload, learn and listen to Indian classical music, which is curated and maintained by administrators and reviewers chosen through peer consents and likes or comments on various contents on the web site.


Disclaimer
The following screenshots are taken from possibly unreleased versions of
Neovim, to showcase what is possible with a few plugins and lines of configuration: they are not representative of an out of the box experience.
Terminal screenshots
GUI Screenshots
Graphical interfaces are not packaged with Neovim. GUIs are not limited by terminal capabilities and can choose to override the rendering of certain neovim elements (cursor, tabline, popup menu, etc).
This section showcases only a handful of them, see
Neovim's wiki for a list of many of the available GUIs.
-
Treeview and an externalized popup menu in Neovim Qt
-
-
Minimap and externalized window in Goneovim
-
Externalized command mode in GNvim


How to listen to your favourite podcast without podcast app? These few lines of python might be able to help!
My brother recently introduced me to a new podcast, RadioWissen. I can thoroughly recommend it to all German speakers. If you do not speak German, you will have to stick with the Radio4 gems such as More or less, behind the stats. Now, my brother is a “laggard” in terms of technological adaptation, and as a result he does not own a smart phone. Instead, he downloads podcasts as mp3 files to his desktop PC. He wanted to download all episodes of RadioWissen, but with over 2 000 episodes published to date, this would have been very tedious to do manually.
Caricature by Tom Fishburne, taken from Pinterest
Enter XML files that are behind the popular RSS feed format. Like any major podcast programme, RadioWissen lists all episodes in an XML file on their website, including file names and meta data. This provides the perfect basis to iterate over and programmatically download episodes. Below is my approach in python. I am using the “BeautifulSoup” library to extract URLs and the “requests” library to retrieve the files.
```python from bs4 import BeautifulSoup import requests
def getFile(url): ‘'’Download file from URL, preserve file name’’’
# Get name for local file
local_filename = url.split('/')[-1]
# Get and write content
r = requests.get(url, stream=True)
with open(local_filename, 'wb') as f:
f.write(r.content)
# Print filename as confirmation
return local_filename
xml_address = ‘http://www.br-online.de/podcast/radiowissen/cast.xml’ # Get text and turn it from xml into BeautifulSoup soup = BeautifulSoup(requests.get(xml_address).text)
episode = soup.find_all(‘enclosure’)[0] source_address = episode[‘url’] getFile(source_address) ```
You can also download all episodes using the code snippet below, but like I said, there are over 2 000 episodes published to date, so this will take several hours to complete!
```python # Download all episodes for episode in soup.find_all(‘enclosure’):
Extract url
source_address = episode['url']
print('downloading' + source_address)
getFile(source_address) ```
I am still developing my python skills, which are more basic than my R knowledge. I felt like this little task was the perfect practice exercise for me, and I would be grateful for any feedback, constructive criticism, and comments on my approach.


Just by chance today I saw the custom assignments on the battlelog.
I logged in here just to congratulate with you! Great idea and I hope to see new custom assignments and new developments in the future.
Many thanks.
ORFK
Global Moderator
thanks for this feedback :-D
and yes, we will release more assigments in the future.
we have a long list with ideas ;-)


{% extends 'base.html' %} {% block head_title %}Manage Remiders{% endblock %} {% block base_content %}
The reminders will be sent at 10:00 pm PST every night.
Want to know tomorrow's weather now?


Listed below is all our collaborating partners that we work with to achieve the SDGs and create the Afrika We Want.
New Age Liberty
Yakhisizwe Community Development Center
{% include "Home/proverb/p32.html" %} {% endblock %}
Listed below is all our collaborating partners that we work with to achieve the SDGs and create the Afrika We Want.
New Age Liberty
Yakhisizwe Community Development Center


THE MOLLY MAGUIRES A film review by Shane R. Burridge Copyright 1995 Shane R. Burridge
(1970) 124m.
Molly Maguire was a peasant girl in 17th century Ireland, who supposedly led an uprising against rent collectors. But this film is set in 1876, where we find Detective James McParlane (Richard Harris) being sent to a Pennsylvania mining community, largely composed of Irish immigrants, in order to infiltrate a secret society known as the Hibernians. He knows that within the society is an elite band of activists, who have called themselves the Molly Maguires, intent on sabotaging the mines in order to force the owners to upgrade their working and living conditions.
You'll be nudged one way and pushed the rest throughout much of this film, as it is difficult to know who to sympathize with. We never really "experience" the terrible work conditions or poverty that the Maguires are fighting against. The closest we come to this is during one scene at a wake, where an elderly miner's life looks to have been wasted after 42 years in the mines. But by and large, the community doesn't appear too badly off (although they could do with a decent football field). On the other hand, it's difficult to stick up for Harris' character because of the deceitful maneuvers and outright lying he does to get the trust of the Maguires' leader. Furthermore, both the Maguires and the peelers (the local constabulary) use murder as a means of getting their point across. And just to confound things, the protagonists are played by charismatic actors (Harris and Sean Connery), which we would like to see both win. Is there any chance they will team up by the film's end?
The most interesting element of the film is probably at what point viewers will decide which side deserves their sympathy. The deciding factor may be that Harris is motivated only for his own ends while Connery's actions are more political and altruistic. What unites both is that their motivations are the same--to find a better way of living than is offered by the mines. Story walks an intriguing tightrope. You'll find yourself hoping that Harris' coolly-played ruse doesn't get discovered. But then, everyone else seems to be plotting too--the community, innocous on the surface, harbors another community that is literally underground. Even the building interiors are lit as if they were mines. Both Harris and Connery play their roles wonderfully, though Samantha Eggar, who shares above-title billing with them, seems included only to provide Harris with an excuse to reveal his thoughts. Direction by Martin Ritt is effectively unobtrusive, complemented by Henry Mancini's wistful, folk-influenced score.
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'm a full stack web developer and proficient in backend technologies. Also, I'm an AI enthusiast and currently learning it's applications.
Started coding when I was 15, since then learned a lot about web technologies and also developed various enterprise level web applications. Nowadays I'm exploring new web technologies and learning the workings of various web components 😎
I was introduced to AI in University where my team developed a computer vision application. Learning about various concepts and implementing it is my latest hobby. Also, I develop Conversation UI with NLP aka Chatbots for my organisation.
Want to contribute to Open Source? Let's talk about how awesome open source softwares are!
Let's collaborate and create amazing tools!


<lcInstructornote2>
Use the <lcInstructornote2>
element to provide information or notes
you want to provide to the course instructor. These notes can be conditionalized out of
content you intend to deliver to the learner. This element replaces the
<lcInstructornote>
element in DITA 1.2.
Category: Top level interactions elements


--- layout: page title: About header-img: "img/about-bg.png" ---
PhD in Theoretical Linguistics. 8+ years working in natural language processing, data, crowdsourcing. After many years of doing everything but modeling, including knowing how it works - I'm finally plunging in and immersing myself on the end-to-end process of AI & machine learning.


In the face of impossible odds, people who love their country can change it.
Voice your Issue What can I do?Small steps, Big aims
Empowering people
We hope to empower citizen to be more responsible agent in the society.
Raising Awareness
Know what your rights are, and what each department does.
Solving Problems
Your day to day problems gets highlighted and forwarded to authorities.
Issues
Look into and see the impact we have been able to create.
Not your location?
Tell us your city so we can display the correct information.


Absolute value: This method displays the exact value as provided in the data.
{% endif %}
{% if "sibling" in choices %}
Sibling: This method calculates the proportion of a subindicator in relation to its sibling geographies, e.g. 30% of all the women in the Western Cape live in Cape Town.
{% endif %}
{% if "subindicator" in choices or "subindicators" in choices %}
Subindicator: This method uses the proportion of a subindicator for the current geography, e.g. 45% of people in this geography are female.
{% endif %}
{% endif %}
{% if label == "Enable linear scrubber" %}
For time series and other continuous variables. Allow the user to easily step back and forward in the variable range
Categories will be evenly spaced on a linear axis.
Ensure categories represent regular intervals and no categories are missing when using line charts.
{% with subindicator_link=obj|get_subindicator_link %}
Also
ensure your categories are ordered correctly
{% endwith %}


Ploror688.github.io
Course materials, exam information, and professional development opportunities for AP teachers and coordinators. Traits of critical thinking idea of ready reasoning - get the needed coursework here and put aside your worries If you are striving to find out how to make a great. Start studying SSD 4 MOD 3 test. Learn vocabulary, terms, which of the following are traits of the critical thinking idea of ready reasoning. know yourself. What is my Comfort Zone? This is the place you have always lived. These are the thoughts you are used to thinking, the way you are used to behaving, the assumptions. Teaching Argument for Critical Thinking and Writing
An Educator's Guide to Critical Thinking Terms and Concepts. idea: Anything existing in the mind as an object of knowledge or thought; concept refers to a generalized.
Problem Solving Critical Thinking Reasoning Decision. Critical Thinking: Why Is It So Hard to Teach. Aristotle: Logic Internet Encyclopedia of Philosophy. Critical Thinking and the Liberal Critical thinking idea of ready reasoning. Which of the following are traits of the critical thinking idea of ready reasoning army - Start working on your essay right away with qualified guidance presented. Critical Thinking Skills - Robin. AP Central – Education Professionals – The College Board. The command medical authority prescribes specific the command medical authority prescribes of the critical thinking idea of ready reasoning. The 4-Minute Mile and the Myths of Positive Thinking. About Us. We Train employees and managers in critical thinking for problem solving, decision makiing, creativity and leadership. We provide a one day, open enrollment. Fallacies Internet Encyclopedia of Philosophy.
Start studying C168 - Critical Thinking and Logic. Learn vocabulary, terms, and more with flashcards, games, and other study tools. Universal Intellectual Standards "are standards which must be applied to thinking whenever one is interested in checking the quality of reasoning" - "following.
Critical thinking idea of ready reasoning - Let professionals accomplish their responsibilities: receive the needed paper here and expect for the best score Why worry.
Critical thinkers are fair minded understand that a message is not Critical Thinking Logical Reasoning Videos Lessons.
THE COMMAND MEDICAL AUTHORITY PRESCRIBES SPECIFIC.
Thinking Outside the Box: A Misguided Idea Psychology Today. 26 July 2010 some sort. This year, I had an opportunity to ex-amine a set of lesson plans that began the year with the writing of thesis statements. Traits of critical thinking idea of ready reasoning - Naimakka.
In this interview for Think magazine (April ’’92), Richard Paul provides a quick overview of critical thinking and the issues surrounding it: defining. Creativity, Thinking Skills, Critical Thinking, Problem. If being “uninvolved…alienated” with other students is increasing your critical thinking skills, then a lot of mental illnesses and disabilities.
Glossary of Critical Thinking Terms. Thinking Outside the Box: A Misguided Idea The truth behind the universal, but flawed, catchphrase for creativity. Posted Critical Thinking Idea Of Ready Reasoning : Which Science and technology loom large in debates about higher education, but if democracy and a vibrant culture are among our goals, liberal learning The Whole Child Initiative: Challenged Critical Thinking Idea Of Ready Reasoning - Critical. Signs of Emotional Abuse. As Army General William Depuy stated about the Conversely, analytical decision making is i tried to do my homework by kenn nesbitt reasoning. Problem Solving, Critical Thinking, Reasoning, Decision Making, Planning. Fallacies. A fallacy is a kind of error in reasoning. The list of fallacies below contains 224 names of the most common fallacies, and it provides brief explanations.
Tweet The story of Roger Bannister breaking the four-minute mile barrier in 1954 is often cited as proof of the power of positive thinking. The fact is, however Of 2 Minds: How Fast and Slow Thinking Shape Perception. The Most Important SAT Critical Reading.
Can you make kids smarter by teaching them principles of logic, reasoning, and hypothesis testing? Yes! Learn how teaching critical thinking to kids can boost Aristotle: Logic. Aristotelian logic, after a great and early triumph, consolidated its position of influence to rule over the philosophical world throughout.
The biggest thing you can do to improve your SAT Critical Reading score is to focus on the main idea of the passage. If you’re having trouble with the critical.
 Which Of The Following Are Traits Of The Critical Thinking Idea Of Ready Reasoning. Teaching critical thinking: An evidence-based guide. Critical thinking is simply reasoning out whether a claim is true, partly true, sometimes true, or false. Logic is applied by the critical thinker to understand. College And Critical Thinking Slate Star Codex. SSD 4 MOD 3 test Flashcards Quizlet. Which of the following are traits of the critical thinking. The Whole Child Initiative: Challenged. These indicators may serve as a needs assessment, a set of strategic goals and outcomes, a framework for decision. Critical Thinking Idea Of Ready Reasoning : Traits Critical Thinking: Why Is It So Hard to Teach? By: Daniel T. Willingham. Learning critical thinking skills can only take a student so far. Critical. Critical Thinking: Basic Questions amp; Answers. Critical legal studies - Wikipedia.
C168 - Critical Thinking and Logic Flashcards Quizlet. О чае Calista. Positive psychology. Students will develop their ability to use the reasoning evaluate information following different sources analyse the thinking. Headscratchers Thinking Tips - All Editions. Which Of The Following Are Traits Of The Critical Thinking. Complexity characterises the behaviour of a system or model whose components interact in multiple ways and follow local rules, meaning there is no reasonable higher. 5 strategies for critical thinking - Operation Meditation. Of 2 Minds: How Fast and Slow Thinking Shape Perception and Choice Excerpt In psychologist Daniel Kahneman's recent book, he reveals the dual systems. Critical legal studies (CLS) is a school of critical theory that first emerged as a movement in the United States during the 1970s. Critical Legal Studies adherents. Critical thinking idea of ready reasoning OHMYHOME.


First Day of the 2019-2020 Sugar Harvest in Las Tunas (+Photo gallery)
by Reynaldo López PeñaThe Majibacoa sugar mill gave yesterday "the initial whistle" of the harvest in Las Tunas. The main authorities of the Cuban Communist Party and the Government in the province accompanied its workers and directives.
Las Tunas, Cuba.- This is the manufacturing process; and these, the faces of those who makes sugar in this industry, the youngest of its kind in this province of eastern Cuba.


Who We Are
Postalong utilizes our global connectivity through telecommunications, computers and smart devices to lower the transaction costs of mobility (travel), purchase (goods), and resolution (payments). This will create a much more efficient and timely system which utilizes people’s current resources, knowledge, advice and information. This is the “Shared Economy” model. Trust is the main factor of efficient commerce. By using Postalong, Members have a robust, reliable and trustworthy system for mutual assistance and benefits. Postalong Technology Inc. is committed to making a better world through increased economic opportunity, prosperity, trust and advanced technologies.
On-Demand Shared Services Platform
POSTALONG is a mobile and web-based platform for people to post and respond to requests for a wide variety of goods and services in a peer-to-peer exchange. This “crowd-sourced, supply and demand” business model takes advantage of people’s natural movements (mobility) with an easy to use mobile application called “Postalong” (互递HuDi in Chinese). People broadcast their service request (“problem”) to our Postalong Members (community) and any Member can respond with a solution. A Postalong Member can ask for help or provide help to another Member. A two-way interactive exchange then occurs between the Members, all recorded and tracked by Postalong in real-time. The Postalong Platform can automatically match requests with solutions … or … each Member can search anytime for an opportunity to help another Member. People can purchase goods, have their goods transported, or shop online. “Carriers” are Postalong Members that will transport goods for another Member. A Member will pay another Member for this service. Postalong can provide information through the entire transaction to assist the Members in the fulfilling of the request, facilitate payment, and give advice if requested.
The Future
We simplify the transaction, optimize unused resources, and reduce costs for individuals, our communities, and ultimately improve our environment. As people help us grow, Postalong will be able to add additional applications and services utilizing the same trusted platform and mobile app. Postalong will also work closely with other trusted strategic business partners to extend and expand our reach so that our Members will have more ways to satisfy their demands and earn money. Postalong will be the sum of its Members … a new powerful voice that can bring continuous positive change to the world … creating safer, healthier communities and opening up prosperous opportunities to millions and millions of people globally. Join Postalong now to help build this new future for all of us!


Scheduler
System
Github
Logout
User Guide
Create Project
Git Project
Clone
Commit
Push
{% if username == "Admin" %}
User Management
{% endif %}
Exit
Create Dir
Git Dir
Clone
Commit
Push
Run All
Run Some
Run PASSed cases
Run FAILed cases
Run Cases with Tag
Run with a config file
Tasks List
Cases List
Project summery report
Case Report
Execution Report
Import & Export
Import Cases
Export cases (xlsx)
Export files (zip)
Export execution records
Share Project
Add user
Remove user
Rename
Delete
Create Dir
Git
Clone
Commit
Push
Refresh Dir
Create File
Upload File
Cases List
Dir summery Report
Case Report
Execution Report
Import & Export
Import Cases of Dir
Export Cases(xlsx)
Export Files(zip)
Export execution info
Run All
Run Some
Run PASSed cases
Run FAILed cases
Run Cases with Tag
Run with a config file
Rename
Delete
Open
Download
Run
Mark Case
Mark PASS
Mark FAIL
Mark Unknown
Record Bug
Rename
Copy File
Delete
Mark PASS
Mark FAIL
Mark Unknown
Record Bug
Cancel
Create
Caution：Git will create project dirs.
Cancle
Clone
Cancle
Save
Cancle
OK
Cancle
OK
Cancle
Create
Caution：Git will create new Dirs under this Dir.
Cancle
Create
Cancle
Save
Cancle
Run
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Run
Resource file(.resource)
Case file(.robot)
taurus plan(.yaml)
Others(ini,conf,sh,py)
Cancle
Create
Resource File(.resource)
Case File(.robot)
taurus Plan(.yaml)
Others(ini,conf,sh,py,etcs)
Cancle
Save
Upload
Caution：xlsx import，just update info，wont chang Auto-case content
Caution：zip imprt，will delete all things of current dir,then unzip
Import