Backup
The Backup dialog provides an easy-to-use interface for the pg_dump pg_dump command line utility. Easy to use options allow you to backup a database, a schema definition, data, or an database object.
By selecting fields on the Backup dialog, you specify which options should be included in a customized pg_dump command. The pg_dump command writes an archive that you can use with the pgAdmin’s *Restore* dialog, the psql client , or pg_restore to recreate the objects backed up by the archive.
If you choose to create a plain-text backup, you can review the SQL commands that build the selected object to better help you understand how the object will be recreated. You can also optionally modify the content to create new database objects before restoring.
Supported File Formats
The drop-down listbox in the Format field allows you to select an archive format. Each format has advantages and disadvantages; select the format that is best suited for your application:
- Select Plain to generate a plain-text script file containing SQL statements and commands that you can execute at the psql command line or with pg_dump to recreate the database objects and load the table data. A plain-text backup file can easily be edited in a text editor if desired before restoring the database objects with the psql program. Plain-text format is normally recommended for smaller databases.
- Select Custom to generate a pg_dump formatted binary file that allows for restoration of all or only selected database objects from the backup file. You can use pgAdmin to restore from a custom archive backup file. A custom archive backup file cannot be edited, but you can use pgAdmin to select which database objects to restore from the backup file. Custom archive format is recommended for medium to large databases from which you may want to select the database objects to restore from the backup file.
- Select Tar to generate a tar archive file that allows for restoration of all or only selected database objects from the backup file. You can use pgAdmin to restore from a tar archive backup file.
- Select Directory to generate a directory-format archive suitable for use with pgAdmin’s Restore dialog or pg_restore. This file format creates a directory with one file for each table and blob being dumped, plus a Table of Contents file describing the dumped objects in a machine-readable format that pg_restore can read. A directory format archive can be manipulated with standard Unix tools; for example, files in an uncompressed archive can be compressed with the gzip tool. This format is compressed by default and supports parallel dumps.
The Backup Dialog
To open the Backup dialog, right click on the name of a database or a named object in the tree control and select Backupů from the context menu. The Backup dialog opens:
Use the fields on the File Options tab to specify general information about the backup.
- Enter the name of the backup file in the Filename field. Optionally, use the browser button to navigate into a directory and select a file that will contain the archive.
- Use the drop-down listbox in the Format field to select the file format for the backup.
- Use the Compress Ratio field to select a compression level for the backup. Specify a value of zero to mean use no compression; specify a maximum compression value of 9. Please note that tar archives do not support compression.
- Use the Encoding drop-down listbox to select the encoding that should be used for the archive.
- Use the Number of Jobs field (when applicable) to specify the number of tables that will be dumped simultaneously in a parallel backup.
When you’ve completed the File Options tab, navigate to the Dump Options #1 tab:
Use the fields on the Dump Options #1 tab to specify details about the type of objects that will be backed up:
- Use the checkboxes in the Sections box to select a portion of the object that will be backed up. By default, a backup will include all sections.
- Check the box next to Pre-data to include all data definition items not included in the data or post-data item lists.
- Check the box next to Data to backup actual table data, large-object contents, and sequence values.
- Check the box next to Post-data to include definitions of indexes, triggers, rules, and constraints other than validated check constraints.
- Use the checkboxes in the Type of Objects box to select the objects that will be included in the backup. By default, all objects will be included in the backup.
- Check the box next to Only data to back up only the data.
- Check the box next to Only schema to back up only the schema (the data definitions).
- Check the box next to Blobs to include large objects in the backup.
- Use the checkboxes in the Don’t Save box to select the objects that will not be included in the backup.
- Check the box next to Owner to omit commands that set object ownership.
- Check the box next to Privilege to omit commands that create access privileges.
- Check the box next to Tablespace to omit tablespaces.
- Check the box next to Unlogged table data to omit the contents of unlogged tables.
When you’ve completed the Dump Options #1 tab, select the Dump Options #2 tab:
Use the fields on the Dump Options #2 tab to specify details about the statements used within the backup file.
- Use the checkboxes in the Queries box to specify the type of statements that should be included in the backup.
- Check the box next to Include CREATE DATABASE statement to include a command in the backup that creates a new database when restoring from the backup.
- Check the box next to Include DROP DATABASE statement to include a command in the backup that drops any existing database before restoring from the backup.
- Check the box next to Use Column Inserts to dump the data in the form of INSERT statements, with explicit column names. Please note: this may make restoration from backup slow.
- Check the box next to Use Insert commands to dump the data in the form of INSERT statements rather than using a COPY command. Please note: this may make restoration from backup slow.
- Use the checkboxes in the Disable box to specify the type of statements that should be excluded from the backup.
- Check the box next to Trigger (active when creating a data-only backup) to include commands that will disable triggers on the target table while the data is being loaded.
- Check the box next to $ quoting to disable dollar quoting within function bodies; if disabled, the function body will be quoted using SQL standard string syntax.
- Use the checkboxes in the Miscellaneous box to specify miscellaneous backup options.
- Check the box next to Use SET SESSION AUTHORIZATION to include a statement that will use a SET SESSION AUTHORIZATION command to determine object ownership (instead of an ALTER OWNER command).
- Check the box next to With OIDs to include object identifiers as part of the table data for each table.
- Check the box next to Verbose messages to instruct pg_dump to use verbose messages.
- Check the box next to Force double quotes on identifiers to force the quoting of all identifiers.
When you’ve completed the Dump Options #2 tab, select the Objects tab:
Use the fields on the Objects tab to select the objects that will be included in the backup; by default, when performing a database backup, all objects will be selected for inclusion in the archive. Deselect an object name to exclude that object from the archive.
When you’ve specified the details that will be incorporated into the pg_dump command, click the Backup button to build and execute a command based on those preferences; the result will be displayed on the Messages tab:
If the backup is successful, the Messages tab will display:
Process returned exit code 0.
Scroll up to review the pg_dump command used to generate the archive, or to view any error messages that were returned during the backup. When you’re finished, click Done to exit the Backup dialog.


|
jE /dʒeɪ iː/
|
Random number generators in form appropriate for metropolis and cast_to_01
functions for them.
More...
Go to the source code of this file.
Functions | |
| void | pm_rng (uint64_t &r) |
| double | pm_cast_to_01 (uint64_t r) |
| double | pm_cast_with_amplitude (uint64_t r, double a) |
Variables | |
| const uint64_t | pm_randmax = 0x7FFFFFFFull |
Random number generators in form appropriate for metropolis and cast_to_01
functions for them.
| void pm_rng | ( | uint64_t & | r | ) |
Park–Miller random number generator
| double pm_cast_to_01 | ( | uint64_t | r | ) |
Function to compute evenly distributed values in (0, 1) from values returned by pm_rng
.
| double pm_cast_with_amplitude | ( | uint64_t | r, |
| double | a | ||
| ) |
Function to compute values evenly distributed in (-a, a)
, from values returned by pm_rng
.
| const uint64_t pm_randmax = 0x7FFFFFFFull |
RAND_MAX for Park-Miller RNG; approximately .


|
lwIP
2.1.3
Lightweight IP stack
|
#include "lwip/opt.h"
#include "lwip/err.h"
#include "lwip/ip_addr.h"
#include "lwip/def.h"
#include "lwip/pbuf.h"
#include "lwip/stats.h"
Data Structures | |
| struct | netif |
| union | netif_ext_callback_args_t |
| struct | netif_ext_callback_args_t::link_changed_s |
| struct | netif_ext_callback_args_t::status_changed_s |
| struct | netif_ext_callback_args_t::ipv4_changed_s |
| struct | netif_ext_callback_args_t::ipv6_set_s |
| struct | netif_ext_callback_args_t::ipv6_addr_state_changed_s |
Typedefs | |
| typedef err_t(* | netif_init_fn) (struct netif *netif) |
| typedef err_t(* | netif_input_fn) (struct pbuf *p, struct netif *inp) |
| typedef err_t(* | netif_output_fn) (struct netif *netif, struct pbuf *p, const ip4_addr_t *ipaddr) |
| typedef err_t(* | netif_output_ip6_fn) (struct netif *netif, struct pbuf *p, const ip6_addr_t *ipaddr) |
| typedef err_t(* | netif_linkoutput_fn) (struct netif *netif, struct pbuf *p) |
| typedef void(* | netif_status_callback_fn) (struct netif *netif) |
| typedef err_t(* | netif_igmp_mac_filter_fn) (struct netif *netif, const ip4_addr_t *group, enum netif_mac_filter_action action) |
| typedef err_t(* | netif_mld_mac_filter_fn) (struct netif *netif, const ip6_addr_t *group, enum netif_mac_filter_action action) |
| typedef u16_t | netif_nsc_reason_t |
| typedef void(* | netif_ext_callback_fn) (struct netif *netif, netif_nsc_reason_t reason, const netif_ext_callback_args_t *args) |
Enumerations | |
| enum | netif_mac_filter_action { NETIF_DEL_MAC_FILTER = 0, NETIF_ADD_MAC_FILTER = 1 } |
Variables | |
| struct netif * | netif_list |
| struct netif * | netif_default |
netif API (to be used from TCPIP thread)
| #define LWIP_NSC_IPV4_ADDRESS_CHANGED 0x0010 |
IPv4 address has changed
| #define LWIP_NSC_IPV4_GATEWAY_CHANGED 0x0020 |
IPv4 gateway has changed
| #define LWIP_NSC_IPV4_NETMASK_CHANGED 0x0040 |
IPv4 netmask has changed
| #define LWIP_NSC_IPV4_SETTINGS_CHANGED 0x0080 |
called AFTER IPv4 address/gateway/netmask changes have been applied
| #define LWIP_NSC_IPV6_ADDR_STATE_CHANGED 0x0200 |
IPv6 address state has changed
| #define LWIP_NSC_IPV6_SET 0x0100 |
IPv6 address was added
| #define LWIP_NSC_LINK_CHANGED 0x0004 |
link changed
| #define LWIP_NSC_NETIF_ADDED 0x0001 |
netif was added. arg: NULL. Called AFTER netif was added.
| #define LWIP_NSC_NETIF_REMOVED 0x0002 |
netif was removed. arg: NULL. Called BEFORE netif is removed.
| #define LWIP_NSC_STATUS_CHANGED 0x0008 |
netif administrative status changed.
up is called AFTER netif is set up.
down is called BEFORE the netif is actually set down.
| #define netif_is_link_up | ( | netif | ) | (((netif)->flags & NETIF_FLAG_LINK_UP) ? (u8_t)1 : (u8_t)0) |
Ask if a link is up
| #define NETIF_MAX_HWADDR_LEN 6U |
Must be the maximum of all used hardware address lengths across all types of interfaces in use. This does not have to be changed, normally.
| #define NETIF_NAMESIZE 6 |
The size of a fully constructed netif name which the netif can be identified by in APIs. Composed of 2 chars, 3 (max) digits, and 1 \0
| typedef err_t(* netif_igmp_mac_filter_fn) (struct netif *netif, const ip4_addr_t *group, enum netif_mac_filter_action action) |
Function prototype for netif igmp_mac_filter functions
Function prototype for netif init functions. Set up flags and output/linkoutput callback functions in this function.
| netif | The netif to initialize |
Function prototype for netif->input functions. This function is saved as 'input' callback function in the netif struct. Call it when a packet has been received.
| p | The received packet, copied into a pbuf |
| inp | The netif which received the packet |
Function prototype for netif->linkoutput functions. Only used for ethernet netifs. This function is called by ARP when a packet shall be sent.
| netif | The netif which shall send a packet |
| p | The packet to send (raw ethernet packet) |
| typedef err_t(* netif_mld_mac_filter_fn) (struct netif *netif, const ip6_addr_t *group, enum netif_mac_filter_action action) |
Function prototype for netif mld_mac_filter functions
| typedef err_t(* netif_output_fn) (struct netif *netif, struct pbuf *p, const ip4_addr_t *ipaddr) |
Function prototype for netif->output functions. Called by lwIP when a packet shall be sent. For ethernet netif, set this to 'etharp_output' and set 'linkoutput'.
| netif | The netif which shall send a packet |
| p | The packet to send (p->payload points to IP header) |
| ipaddr | The IP address to which the packet shall be sent |
| typedef err_t(* netif_output_ip6_fn) (struct netif *netif, struct pbuf *p, const ip6_addr_t *ipaddr) |
Function prototype for netif->output_ip6 functions. Called by lwIP when a packet shall be sent. For ethernet netif, set this to 'ethip6_output' and set 'linkoutput'.
| netif | The netif which shall send a packet |
| p | The packet to send (p->payload points to IP header) |
| ipaddr | The IPv6 address to which the packet shall be sent |
Function prototype for netif status- or link-callback functions.
| s8_t netif_get_ip6_addr_match | ( | struct netif * | netif, |
| const ip6_addr_t * | ip6addr | ||
| ) |
Checks if a specific local address is present on the netif and returns its index. Depending on its state, it may or may not be assigned to the interface (as per RFC terminology).
The given address may or may not be zoned (i.e., have a zone index other than IP6_NO_ZONE). If the address is zoned, it must have the correct zone for the given netif, or no match will be found.
| netif | the netif to check |
| ip6addr | the IPv6 address to find |
| void netif_invoke_ext_callback | ( | struct netif * | netif, |
| netif_nsc_reason_t | reason, | ||
| const netif_ext_callback_args_t * | args | ||
| ) |
Invoke extended netif status event
| netif | netif that is affected by change |
| reason | change reason |
| args | depends on reason, see reason description |
| void netif_poll | ( | struct netif * | netif | ) |
Call netif_poll() in the main loop of your application. This is to prevent reentering non-reentrant functions like tcp_input(). Packets passed to netif_loop_output() are put on a list that is passed to netif->input() by netif_poll().
| struct netif* netif_default |
The default network interface.
| struct netif* netif_list |
The list of network interfaces.


Oct 16, 2014 at 6:01pm UTC
//client.cpp
#include<stdio.h>
#include<fcntl.h>
#include<stdlib.h>
//krunal m patel
main()
{
FILE *file1;
int fifo_server,fifo_client;
char str[256];
char *buf;
char *choice;
printf('Welcome to chat\n\n');
if(fork() == 0)
{
while(1)
{
choice = malloc(10*sizeof(char));
scanf('%s',choice);
fifo_server=open('fifo_server',O_RDWR);
if(fifo_server < 1) {
printf('Error in opening file');
exit(-1);
}
write(fifo_server,choice,sizeof(choice));
//sleep(10);
}
}
else{
while(1)
{
fifo_client = open('fifo_client',O_RDWR);
if(fifo_client<1) {
printf('Error opening file');
exit(1);
}
read(fifo_client,choice,sizeof(choice));
printf('%s\n',choice);
/*
fifo_client=open('fifo_client',O_RDWR);
if(fifo_client < 0) {
printf('Error in opening file');
exit(-1);
}
buf=malloc(10*sizeof(char));
read (fifo_client,buf,sizeof(buf));
printf('\n %s***\n',buf);
*/
}
}
close(fifo_server);
close(fifo_client);
}
// server.cpp //krunal m patel
#include <fcntl.h>
#include <stdio.h>
#include <sys/stat.h>
#include <unistd.h>
#include <string.h>
int main()
{
int client_to_server;
char *myfifo = "/tmp/client_to_server_fifo";
int server_to_client;
char *myfifo2 = "/tmp/server_to_client_fifo";
char buf[BUFSIZ];
/* create the FIFO (named pipe) */
mkfifo(myfifo, 0666);
mkfifo(myfifo2, 0666);
/* open, read, and display the message from the FIFO */
client_to_server = open(myfifo, O_RDONLY);
server_to_client = open(myfifo2, O_WRONLY);
printf("Server ON.\n");
while (1)
{
read(client_to_server, buf, BUFSIZ);
if (strcmp("exit",buf)==0)
{
printf("Server OFF.\n");
break;
}
else if (strcmp("",buf)!=0)
{
printf("Received: %s\n", buf);
printf("Sending back...\n");
write(server_to_client,buf,BUFSIZ);
}
/* clean buf from any data */
memset(buf, 0, sizeof(buf));
}
close(client_to_server);
close(server_to_client);
unlink(myfifo);
unlink(myfifo2);
return 0;
}
Oct 17, 2014 at 9:41am UTC
Please format your code using the format tags. It's impossible to read otherwise.
You cannot use a FIFO as your IPC mechanism if you expect to connect to multple processes. A FIFO is kind of like a pipe, one end connects to one process and the other end connects to another process, and that's it. You can't support multiple concurrent connections with a single pipe.
Also, forget malloc
and char *
. You need buffers, so create fixed length strings as in: char choice[32];
Last edited on Oct 17, 2014 at 9:57am UTC


Suggestionbox demo
This page uses Suggestionbox to order the genres based on Machine Learning predictions.
The user data is represented in a hard-coded object, which you should make dynamic in your real case:
var testUser = {
age: 30,
city: "London",
interests: ['music', 'movies', 'politics']
}
This object is then turned into a Suggestionbox prediction request object, and sent via AJAX to Suggestionbox:
var predictRequest = {
"inputs": [
{"key": "user_age", "type": "number", "value": ""+testUser.age},
{"key": "user_interests", "type": "list", "value": testUser.interests.join(',')},
{"key": "user_location", "type": "keyword", "value": testUser.city}
]
}
The response from Suggestionbox is used to adjust the order of the genres.
{
"success": true,
"choices": [
{
"id": "documentary",
"score": 0.76,
"reward_id": "5ad7386376f653490d7b4cfe7c77cfef"
},
{
"id": "comedy",
"score": 0.06,
"reward_id": "5ad738634fd99903deb940813d388897"
},
{
"id": "drama",
"score": 0.06,
"reward_id": "5ad73863747a47aded895f2c1e577277"
},
{
"id": "horror",
"score": 0.06,
"reward_id": "5ad73863ead2c83ce8827ad275caca4f"
},
{
"id": "kids",
"score": 0.06,
"reward_id": "5ad7386306e5e98f8a9b059618844690"
}
]
}
The reward_id
values are used to reward the model when
the user clicks on the corresponding genre.
Genres
Refresh the page to make new predictions.
To get this page to work, make sure you are running Suggestionbox.
Create a model in the Suggestionbox console at http://localhost:8080/console.


{% load static %} {% load i18n %} {% get_current_language as LANGUAGE_CODE %}
{# TODO: Don't use web adresses for production#} {# #} {# #} {# TODO: menu_objects should not be loaded in map.html. Why isn't it working in select_data.html? Time of loading?#} {#TODO: Don't like "show_data()" in map.html, but 2 onload in app don't work. Any better solution?#} {# #} {% comment %}{% endcomment %}


THE CROW: CITY OF ANGELS A film review by Scott Renshaw Copyright 1996 Scott Renshaw
Starring: Vincent Perez, Mia Kirshner, Richard Brooks, Iggy Pop. Screenplay: David S. Goyer. Director: Tim Pope. Reviewed by Scott Renshaw.
The advertising campaign for THE CROW: CITY OF ANGELS invites us to "Believe in the power of another," but it sounds more like a plea for sympathy. After all, what are you supposed to do when you want to make a sequel but the star of the first film is no longer with us? Well, I suppose the obvious answer -- swallow your checkbook and allow THE CROW to rest in peace -- was unacceptable, but this is one sequel which seemed utterly doomed from the first minute. 1994's THE CROW was a film with a striking look, but it owed virtually every ounce of emotional resonance it had to the tragic death of star Brandon Lee while filming the scene in which his character is killed. CITY OF ANGELS has no such back story to prop up its re-tread of the first film, and seems determined to substitute excess for emotion in what has to rank as one of the year's most grueling cinematic ordeals.
The setting is the near future in the City of Angels, where a drug lord named Judah Earl (Richard Brooks) controls all. It is the misfortune of a mechanic named Ash (Vincent Perez) and his young son to witness a gang of Judah's thugs murdering someone, and they in turn are murdered as well.  He befriends a tattoo artist named Sarah (Mia Kirshner), but he has little time to spend on relationships. His mission is to find the people responsible for his son's death -- including Judah himself -- and destroy them so that his soul might find peace.
If there is anyone you should really feel sorry for in this mess, it is Vincent Perez, because I don't think he ever had a chance. This isn't like Val Kilmer stepping into Batman's boots, or Pierce Brosnan taking over as 007; it's more like someone trying to replace Patrick Stewart as Captain Picard. THE CROW's fans are passionate about the film, and in particular about the man they see as headed towards stardom before he was cut down in his prime. Perez has the right look for the part -- he looks serviceably eerie in The Crow's face paint and leather duster -- but he's not Brandon Lee. That's not even a criticism, because I'm not convinced Lee was anything that special. The point is that those who come to this film because they loved THE CROW are going to have a real problem with this guy with a French accent taking over for their hero.
Then again, I suppose Perez always could have said no, especially once he got a look at a script which has him making his entrance emerging from a fountain of water in tattered clothes looking like Esther Williams on the way to a rave. There is plenty of silliness like that in CITY OF ANGELS (it tries to stake a claim to mytho-poetic status by including a Tiresias-like blind seer), but mostly it is an empty recycling of THE CROW. The radical switch involves having the dead man avenging a son rather than a lover, but otherwise it simply finds a different leather-clad fellow killing his own killers one by one, and oh, the time and energy exerted on finding creative methods of inflicting pain. The bill of fare in CITY OF ANGELS includes a hypodermic needle jammed up a nose, a tattoo needle applied to the eyeball, eyes gouged out, and even a tortured crow (don't worry, no animals were harmed in the making of this film). It's a resolutely ugly film director Tim Pope has put together, heavy on gratuitous S&M but light on any semblance of a point. Sarah (we assume this is the skate-punk from the first film all grown up) serves only to give us the lovely Mia Kirshner to look at, and Pope appears far more concerned with serving up candle-wax-on-the-nipples than creating characters.
There are plenty of individual reasons to avoid CITY OF ANGELS (though Iggy Pop makes an ideal villain for The Crow since he looks like a corpse himself), but it's much simpler to explain why each category of potential viewer should stay away. If you did not see the first film, you probably have no interest in a dark story of vengeance with plenty of unpleasantness. If you saw the first film and did not like it, expect more of the same in CITY OF ANGELS, only less compelling, less artistic and more obsessed with music video theatrics. And if you saw the first film and _did_ like it, do the memory of Brandon Lee a great honor and do not let his death provide a producer with an excuse to build a franchise this awful on his grave.
On the Renshaw scale of 0 to 10 crow's defeats: 2.
Visit Scott Renshaw's MoviePage http://www-leland.stanford.edu/~srenshaw Receive Scott Renshaw's pre-release reviews directly via email! Write to<EMAIL_ADDRESS>for subscription details.
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: default ---
Posted by {{ page.author}} | Filed under {{ page.categories }}
Posted on{{ page.date | date_to_string }}


Modify this code to complete the following requirements, and provide result(s) as a ZIP file using the Export
button at the bottom. Save the file as {Your_Name}.zip, double-check your work & send it back to us.
Position the element #feedback at the bottom right of the browser window,
leaving a 5 pixel gap on the right and bottom, keeping its original size. Make sure that any changes to
the .unknownCSS selector won't affect your changes made to the #feedback element.
Using vanilla Javascript, loop through the object
{q1:89, q2:75, q3:88}
and show the key/entry pairs in a table like #sampleTbl (appended before the text "footer" inside the <I> tag at the bottom). HINT: you can modify the content of the <I> element to help with this
Using vanilla Javascript, add the following behavior to the #feedback element:
Toggle its color between the current color and yellow on each click
Bonus: Prevent the form form from submitting when clicking unless
contains an alphanumeric string without spaces


The Yelp dataset is a subset of business, reviews, and user data, which contains restaurants location, reviews, categorgy and etc.
This slide is a fun reading for the food lovers and travellers. The purpose of this visualization is to explore the most popular food nationwide and regionwide. About the Visualization
Interactive Slideshow This narrative visualization is presented as an interactive slideshow structure to guide users through different steps to the final conclusion. User can click the arrow to flip between the slides.
Scenes This visualization consists of three scenes, following the same template of visualizing the data based on the geography, bar chart, bubble chart, providing a very consistent information display.
Annotations Annotation is used in chart 1 of the scene 1, to emphasize the ranking order starting from top popular food, also draw viewers attention to focus on the first several top ranking food.
Parameters Chart 2 provides the parameters of reviews count and allow the user to explore the data of interesting states. Chart 3 provides the parameters of the review score based on parameters of states and food category, so that the user can find out the best review score by state and food type.
Triggers Chart 3 allows the user to filter out the review score based on the food type. With different food category, the buble chart can be updated based on the updates of the filtered data.
This bar chart shows the number of the food places classfied by the food type. We can easily find out the top most popular food places that are open in USA are Coffee shop, Pizza and brunch. Those are three top choice of Americans going out for eating
This map is create to show the popularity of the food places across the country. The darker color means higher visits number and Yelp reviews. As we can see, California, Florida, New York are some of the darker area where more Resturants are present. It reflects the impact of tourism indrusty on resturants bussiness.
This buble chart may give you some idea what places you can go if you like certain type of food. It visulizes the food review scores based on the states and food type. By clikcing the food menu button below the chart, user can explore the review scores in different states.
Dataset
Yelp Website
Fullpage.js (used for slideshow)
https://github.com/alvarotrigo/fullPage.js
Source code
https://danabaxia.github.io/CS498_DV_Final_Project/


{% extends "sentry_hipchat_ac/configure_layout.html" %} {% block body %} {% if tenant.auth_user %}
This room is authenticated as {{ tenant.auth_user.username }} and was authorized to have access to the following organizations: {% for org in available_orgs %} {{ org.name }}{% if not forloop.last %},{% endif %} {% endfor %} (Deauthorize)
Select the projects you want to notifications from:
{% else %}Welcome to Sentry for Hipchat. Before we can get going, you need to associate this Hipchat room with a Sentry account. {% if current_user.is_authenticated %}
You are currently signed in as {{ current_user.username }}. Change user?


| Academic achievement | avoid page break inside this section |
| Academic degrees | avoid page break inside this section |
| Employment history | avoid page break inside this section |
| Featured personal projects | avoid page break inside this section |
| Language proficiency | avoid page break inside this section |
| Professional achievement | avoid page break inside this section |
| References | avoid page break inside this section |
|
{{ resumeData.fullName }}
LinkedIn : {{resumeData.linkedInProfleLink}}
HackerRank : {{resumeData.hackerRankProfileLink}}
GitHub : {{resumeData.githubProfileLink}}
Upwork : {{resumeData.upworkProfileLink}}
|
| PROGRAMMING LANGUAGES / FRAMEWORKS / TOOLS EXPERTISE | ||
|
| Featured Personal Projects | |
|
|
{{ d.projectTitle }}
Github link: {{ d.link }} Technology used: {{d.technologyUsed}} {{d.description}} |
| EMPLOYMENT HISTORY |
|
{{ d.designationHeld }} at {{ d.companyName }}
Duration: {{ d.employmentFrom }} to {{ d.employmentTo }} Responsibilities:
|
| ACADEMIC QUALIFICATIONS | ||||||||
|
| Academic / Extra Curricular achievements | ||
|
| Professional Achievements | ||
|
| References | ||||
|
{{ d.referenceName }}
{{d.referenceDesignation}} at {{d.referenceCompany}}
|


Resume
Education
August 2017- January 2023
Montana State UniversityPh.D. in Computer Science
2012-2016
University of DhakaB.Sc in Computer Science & Engineering
Experience
May 2022 - August 2022
Meta Platform Inc. (Previously Facebook)Ph.D. Software Engineering Intern (Team: Wireless Protocols and Platforms)
2019 - 2022
Montana State UniversityGraduate Research Assistant (Project: AMELIA)
2018 - 2022
Montana State UniversityGraduate Research Assistant (Project: USMP)
2017 - 2018
Montana State UniversityGraduate Teaching Assistant
2017 - 2017
State University of BangladeshLecturer
2016 - 2016
Samsung R & D BangladeshSoftware Engineer
Coding Skills
Python
95%
C / C++
90%
JavaScript / NodeJS
90%
Java
80%
React Native
80%
HTML / CSS / PHP
80%
Technical Knowledge
Pub-Sub (Redis, Google PubSub)
100%
OpenFaaS
95%
Amazon AWS (EC2, Lambda, SQS, S3, SNS, SAM, GreenGrass)
90%
MongoDB NO SQL
90%
SQL DB (Postgres/ MySQL / MariaDB)
90%


Man accused over 39 truck deaths admits immigration offense
LONDON (AP) - A truck driver charged with manslaughter over the deaths of 39 Vietnamese migrants found in the back of a truck has pleaded guilty to lesser charges.
Maurice Robinson has admitted plotting to assist illegal immigration and acquiring criminal property.
Robinson, 25, appeared Monday at London's Central Criminal Court by video link from prison. He did not enter pleas to 39 counts of manslaughter and conspiracy to traffic people.
Two other men have been arrested in connection with the case.
The bodies were found Oct. 23 in the English town of Grays, just east of London. Police say the victims were all from Vietnam and aged between 15 to 44.
The 31 men and eight women are believed to have paid people traffickers for their clandestine transit into England.
Copyright 2019 The Associated Press. All rights reserved. This material may not be published, broadcast, rewritten or redistributed.


Installing the C++ Toolchain
-
installing C++ Toolchain on a Rasperry Pi
Getting the Toolchain sources
-
previous sections have here some tips to build a GCC compiler that supports the RISC-V platform
-
but that is no longer necessary
-
the current LLVM version supports the RISC-V
3
$ sudo apt install clang-9 lld-9
-
install C++ compiler and linker that supports RISC-V


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More than any other occasion a wedding has to be flawless
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to make sure it all goes smoothly from the planning to the day itself.
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The gorgeous Bruce & Wallace Suites on the first floor,
with sophisticated interiors and designer finishes,
are beautiful venues for intimate wedding services.
Alternatively, if you are planning to have all your friends
and family in attendance to witness your nuptials,
our fabulously stylish Ballroom is the perfect setting for
larger ceremonies.And, if you dream of getting married
in church, the magnificent Bridge of Allan Parish
Church and St Saviour’s Episcopal Church are
beautiful venues and just two of the options located
only a stones-throw from the hotel.
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At the Royal you are assured of the highest calibre of service,
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and drink, providing you with the flexibility to
make the wedding celebration you have always
dreamed of a reality. You will also be assigned a dedicated and
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co-ordinate every aspect of your wedding celebrations and
advise on those extra special touches that
will make your big day even more perfect.
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Kara takes insulin at school
All the places insulin can be given
Insulin is given where there are areas of fat under the skin.
- Back of the arms
- Belly, but not too close to the belly button
- Sides of the legs
- Hips
- Top part of the bottom
Different types of insulin
Short-acting insulin
- Starts acting quickly between 15-30 minutes
and usually wars off in 3-4 hours
- Usually given right before eating
or when glucose levels are high (3-4 times a day)
- Short-acting insulin are:
Humalog, NovoLog or Apidra
Different types of Short-acting insulin
The same insulin can be given from a vial or a pen.
Long-acting insulin
- Given only once a day and keeps your glucose in range when you are not eating
- Long-acting insulin are Lantus or Levemir
The same insulin can be given from a vial or pen.
How to give Insulin
How quickly does the short acting insulin act?


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Alex Nguyen
Home
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About
Some stuf that I love.
Some things I would Know about coding.
My future dreams.
Workout
Play videogames
Do community service
Building stuff
Some things I would know about coding would be html, some of css, and a little of java-script
Some of my future dreams would be an Entrepreneur, and or a computer engeneer.


| Package | org.as3commons.collections |
| Class | public class SortedList |
| Inheritance | SortedList AbstractList |
| Implements | ISortedList |
| Subclasses | SortedListFx |
Description
The SortedList
maintains an array as its source. Insertion or
lookup operations are performed using a binary array search.
Runtime of operations
first, last, itemAt()
removeLast()
add(), removeFirst(), remove(), removeAll()
Notes
The iterator()
method accepts an index position as the cursor parameter.
If the specified index position exceeds the list length, the returned iterator is positioned
at the end of the list.
The iterator()
method retuns an IListIterator
.
null
is allowed if the comparator allows null
.
SortedList example
This example shows the specific behaviour of a SortedList
.
The general work with collections and iterators is more detailed illustrated
in the ArrayList
examples below.
ArrayList example
Show exampleArrayListIterator example
Show exampleSee also
| Property | Defined by | ||
|---|---|---|---|
| array : Array [write-only]
Specifies an array to be maintained by the list.
| SortedList | ||
| comparator : IComparator
Returns or sets the initial comparator of the collection.
| SortedList | ||
| first : *
The first item or
undefined if the collection is empty. | AbstractList | ||
| last : *
The last item or
undefined if the collection is empty. | AbstractList | ||
| size : uint
The number of items contained by the data provider.
| AbstractList |
| Property | Defined by | ||
|---|---|---|---|
| _array : Array
The internal array.
| AbstractList | ||
| _comparator : IComparator
The sort criterion.
| SortedList |
| Method | Defined by | ||
|---|---|---|---|
|
SortedList(comparator:IComparator = null)
SortedArrayList constructor.
| SortedList | ||
|
add(item:*):uint
Adds an item to the list.
| SortedList | ||
|
clear():Boolean
Removes all items from the collection.
| AbstractList | ||
|
count(item:*):uint
Returns the number of occurrences of an item.
| SortedList | ||
|
equalIndices(item:*):Array
Returns an array of the indices of all items that are equal to the given item.
| SortedList | ||
|
firstIndexOf(item:*):int
Returns the index of the first occurrence of an item.
| SortedList | ||
|
has(item:*):Boolean
Tests if an item is contained by the collection.
| SortedList | ||
|
hasEqual(item:*):Boolean
Tests if the collection contains an item that is equal to the given item.
| SortedList | ||
|
higherIndex(item:*):int
Returns the index of the first item that is higher than the given item.
| SortedList | ||
|
itemAt(index:uint):*
Returns the item at the specified position.
| AbstractList | ||
|
Returns an iterator over the iterable data structure.
| AbstractList | ||
|
lastIndexOf(item:*):int
Returns the index of the last occurrence of an item.
| SortedList | ||
|
lesserIndex(item:*):int
Returns the index of the last item that is lesser than the given item.
| SortedList | ||
|
remove(item:*):Boolean
Removes an item from the collection.
| SortedList | ||
|
removeAll(item:*):uint
Removes all occurrences of a particular item from the collection.
| SortedList | ||
|
removeAllAt(index:uint, numItems:uint):Array
Removes a number of items starting at the specified position.
| AbstractList | ||
|
removeAt(index:uint):*
Removes the item at the specified position.
| AbstractList | ||
|
removeFirst():*
Removes the first item of the ordered collection.
| AbstractList | ||
|
removeLast():*
Removes the last item of the ordered collection.
| AbstractList | ||
|
toArray():Array
Returns an array of all items.
| AbstractList |
| Method | Defined by | ||
|---|---|---|---|
|
firstIndexOfEqual(item:*):int
Returns the index of the first equal item.
| SortedList | ||
|
itemRemoved(index:uint, item:*):void
Template method to notify subclasses after an item has been removed.
| AbstractList | ||
|
lastIndexOfEqual(item:*):int
Returns the index of the last equal item.
| SortedList |
| array | property |
array:Array
[write-only]Specifies an array to be maintained by the list.
Already contained elements will be removed beforehand.
The list stores a copy of the given array not the array itself.
Implementation public function set array(value:Array):void
| _comparator | property |
protected var _comparator:IComparator
The sort criterion.
| comparator | property |
comparator:IComparator
[read-write]Returns or sets the initial comparator of the collection.
You cannot reset a comparator of a collection that contains items.
In that case an ArgumentError
is thrown.
public function get comparator():IComparator
public function set comparator(value:IComparator):void
| SortedList | () | constructor |
public function SortedList(comparator:IComparator = null)
SortedArrayList constructor.
Parameterscomparator:IComparator (default = null ) — The sort criterion.
|
| add | () | method |
public override function add(item:*):uint
Adds an item to the list.
The ArrayList
appends the item.
The position of items that are added to a SortedList
depends on its sort order.
item:* — The item to add.
|
uint — The position where the item has been added.
|
| count | () | method |
public override function count(item:*):uint
Returns the number of occurrences of an item.
Parametersitem:* |
uint — Number of occurrences of the given item.
|
| equalIndices | () | method |
public function equalIndices(item:*):Array
Returns an array of the indices of all items that are equal to the given item.
If there is no equal item, the method returns an empty array.
Parametersitem:* — The item to test.
|
Array — An array of the indices of all equal items.
|
| firstIndexOf | () | method |
public override function firstIndexOf(item:*):int
Returns the index of the first occurrence of an item.
Parametersitem:* — The item to test.
|
int — The first position of the item or -1 if the item is not contained.
|
| firstIndexOfEqual | () | method |
protected function firstIndexOfEqual(item:*):int
Returns the index of the first equal item.
Returns -1
if no equal item is contained.
item:* — The item to test.
|
int — The first index of an equal item.
|
| has | () | method |
public override function has(item:*):Boolean
Tests if an item is contained by the collection.
Parametersitem:* — The item to test.
|
Boolean — true if the item is contained.
|
| hasEqual | () | method |
public function hasEqual(item:*):Boolean
Tests if the collection contains an item that is equal to the given item.
Returns of course true
if the given item is contained.
item:* — The item to test.
|
Boolean — true if there is an equal item contained.
|
| higherIndex | () | method |
public function higherIndex(item:*):int
Returns the index of the first item that is higher than the given item.
Parametersitem:* — The item to test.
|
int — The index of the next higher item or -1 if there is no higher item.
|
| lastIndexOf | () | method |
public override function lastIndexOf(item:*):int
Returns the index of the last occurrence of an item.
Parametersitem:* — The item to test.
|
int — The last position of the item or -1 if the item is not contained.
|
| lastIndexOfEqual | () | method |
protected function lastIndexOfEqual(item:*):int
Returns the index of the last equal item.
Returns -1
if no equal item is contained.
item:* — The item to test.
|
int — The last index of an equal item.
|
| lesserIndex | () | method |
public function lesserIndex(item:*):int
Returns the index of the last item that is lesser than the given item.
Parametersitem:* — The item to test.
|
int — The index of the last lesser item or -1 if there is no lesser item.
|
| remove | () | method |
public override function remove(item:*):Boolean
Removes an item from the collection.
Trying to remove an item which is not contained by the collection
leaves the collection untouched and returns false
.
If the collection contains multiple entries of the given item the first occurrence of the item will be removed.
Parametersitem:* — The item to remove.
|
Boolean — true if the item has been removed.
|
| removeAll | () | method |
public override function removeAll(item:*):uint
Removes all occurrences of a particular item from the collection.
The items are removed in the order they are stored.
Parametersitem:* — The item to remove completely from the collection.
|
uint — Number of items removed.
|


--- layout: post title: Cloning the Source from Github to Local Machine date: 2015-07-14 20:54:00.000000000 +05:30 type: post published: true status: publish categories: - Open source tags: - Github - Opensource meta: _rest_api_published: '1' _rest_api_client_id: "-1" _publicize_done_external: a:2:{s:8:"facebook";a:1:{i:5327596;s:53:"https://facebook.com/521066101241445_1103594542988595";}s:7:"twitter";a:1:{i:5327584;s:52:"https://twitter.com/iamVP7/status/621427710506610689";}} _publicize_job_id: '12764752410' _publicize_done_9754833: '1' _wpas_done_5327596: '1' publicize_linkedin_url: https://www.linkedin.com/updates?discuss=&scope=72621861&stype=M&topic=6027193394697166848&type=U&a=BucC _publicize_done_9754835: '1' _wpas_done_5327600: '1' _publicize_done_9754843: '1' _wpas_done_5327584: '1' publicize_twitter_user: iamVP7 publicize_google_plus_url: https://plus.google.com/+TechnorulerBlogspotIn/posts/GuniuWtUMUj _publicize_done_9754847: '1' _wpas_done_9797179: '1' publicize_path_id: 55a6cd4acd4b2b31720679fb _publicize_done_9755206: '1' _wpas_done_9797548: '1' publicize_tumblr_url: http://.tumblr.com/post/124183495255 _publicize_done_9755208: '1' _wpas_done_9797552: '1' author: login: viswaprasath email<EMAIL_ADDRESS>display_name: Vitchu first_name: '' last_name: '' ---
In our previous post we have see how to create a repo in Github.com. In this post Would like to introduce how to bring that repo from Github.com to the local machine, so you can make changes in your local desktop machine and later push them to the github.com so can view at any time.
Install the Git
apt-get install git
" in my terminalCloning the repo to Machine
git clone https://github.com/viswaprasath/viswaprasath.github.io.git
In your case the url will be different. So you will be getting a folder in your machine with the name viswaprasath.github.io
Making changes
<html>
<head><title> Welcome to My Website </title>
</head>
<body>
Hello World!!
</body>
</html>
So When visitors comes in he will see Hello World.
Sending Back to Github


Finding the right job is hard work
Asas is built around the idea that everyone should be able to take the perfect trip, including where they stay, what they do, and who they meet. To that end, we empower millions of people around the world to use their spaces, passions, and talents to become entrepreneurs.
We started out as a few people, obsessed with personal growth. Today, that same pursuit of personal growth drives thousands.
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There’s life at work and life outside of work. We want everyone to be healthy, travel often, get time to give back, and have the financial resources and support they need.


oak-show-grantsShow grants for the 'webuser' user only:
oak-show-grants --account-user=webuserShow grants for users on the localhost only:
oak-show-grants --account-host=localhostShow grants for the<EMAIL_ADDRESS>account:
oak-show-grants --account-user=webuser --account-host=<IP_ADDRESS>Show grants for the 'webuser' user only, provide connection parameters, prompt for password:
oak-show-grants --user=root --ask-pass --socket=/tmp/mysql.sock --account-user=webuserSame as above, use defaults file:
oak-show-grants --defaults-file=/home/myuser/.my-oak.cnf --account-user=webuser
A specific user for whom to show grants
--account-host=ACCOUNT_HOSTA specific host for which to show grants
--ask-passPrompt for password.
--defaults-file=DEFAULTS_FILERead from MySQL configuration file. Overrides --user, --password, --socket, --port.
Configuration needs to be in the following format:
[client]
user=my_user
password=my_pass
socket=/tmp/mysql.sock
port=3306
MySQL host (default: localhost)
-p PASSWORD, --password=PASSWORDMySQL password
-P PORT, --port=PORTTCP/IP port (default: 3306)
-S SOCKET, --socket=SOCKETMySQL socket file. Only applies when host is localhost
-u USER, --user=USERMySQL user
apt-get install python-mysqldbor
yum install mysql-python
Copyright (c) 2008 - 2010, Shlomi Noach All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. * Neither the name of the organization nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.


Security Definitions
Websockets demonstration using FIX messages
Connect
Disconnect
Symbol
Security Type
CFI Code
Product
Security Group
Trading Session ID
Market ID
Market Segment ID
Security Exchange
All Securities
Snapshot
Subscribe
Unsubscribe
Request
Clear
Copy


DREAMSHARE
Log in
Sign up
DREAMSHARE
SHARE YOUR HOLIDAY DREAM
And find the perfect partner to fullfill it
Find your holiday partner
How Dreamshare works?
STEP 1
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STEP 2
Morbi velit risus
Nulla venenatis tempor dui in molestie. Nulla quis dictum purus, sit amet porttitor est.
STEP 3
Sed leo enim, condimentum
Quisque libero libero, dictum non turpis in, luctus semper lorem.
Meet a partner for your best holiday
Bradley Hunter
Based in Chicago. I love playing tennis and loud music.
Diana Wells
Living in Athens, Greece. I love black and white classics, chillout music and green tea.
Marie Bennett
Currently living in Colorado. Lover of art, languages and travelling.
Christopher Pierce
Star Wars fanatic. I have a persistent enthusiasm to create new things.
See other partners
Discover holiday activity ideas
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Games
Culture and Education
Enjoyment and Relaxation
Traveling
Crate your holiday activity
Hi! What are your holiday interests?
Search partners


Putting together the schedule of games to be played for any sports league is always a bit tricky, making sure each team plays each other the right number of times. In the case of a highly competitive league with numerous fans and lucrative television coverage, such as Atlantic Coast Conference (ACC) basketball, the problem gets more complex as each team vies for a schedule that optimizes recognition and revenue.
Past year's ACC basketball schedules were always full of compromises, as conventional manual approaches to game scheduling could not provide a fair and balanced scheduled. This year Fred Barakat, Associate Commissioner of the ACC, started looking for outside help. Conventional approaches to the problem using linear algebra failed to find a valid schedule. This article describes a Prolog program that found a solution that meets all the constraints.
There are three tiers of constraints in the 1997 ACC Basketball schedule. The first consists of general sports scheduling constraints, the second fairness constraints, and the third constraints specific to 1997.
The ACC contains nine teams which play on Wednesdays and Saturdays in an 18 game schedule. On each game day eight teams will be playing and one team will have a bye. At the end of the first nine game days, each team should have played each other once, and have had one bye.
During the second nine games days, each team plays each other again, only this time with the home and away teams reversed.
The fairness constraints mostly have to do with balancing home and away games. Ideally, each team would like to play all of its games as home games on Saturdays, thus maximizing both ticket sales and television coverage. A fair schedule provides each team with equal home and away games and an equal number (4) of home games on Saturdays.
The home and away games for each team need to be balanced for each half season. The home Wednesday and Saturday games need to be balanced over the full season. This constraint is the one that adds the most complexity to the problem. Because their are an odd number of teams and an odd number of games in a half season, there are not equal numbers of Wednesdays and Saturdays in a half season. This means the problem cannot be considered as two symmetric halves when it comes to balancing home Saturday games.
In addition to the balance constraints, no team wants to play more than two home or two away games in a row. Further, a bye is considered an away game, as the team might schedule a non-conference away game during the bye.
Finally, two teams cannot replay each other without at least three game days in between.
There are certain games which must be played on certain dates. For example, the meeting of the top ranked teams, Duke and North Carolina, is predetermined, as are the opening season games and the traditional rivals who play on the closing day.
Prolog is extremely well-suited for both pattern-matching and search, so the basic strategy for solving this problem builds on those strengths. A variation of the 'generate and test' approach is used, where Prolog's search mechanism is used to generate possible schedules and its pattern-matching is used to see if the schedule meets the constraints.
The problem is, of course, that there are an astronomical number of possible schedules, so great care must be taken to constantly trim the search space to a more manageable size. Constraints must be applied as early as possible in the generation of a schedule, and heuristics are used throughout to trim the search space and detect problems before a particular schedule is pursued too far.
The Prolog code relies heavily on lists to represent the games to be scheduled, the evolving schedule, and other items. Recursion is the primary control structure used, so, in essence, the main loop of the program is a classic recursion, with one Prolog rule for the boundary condition and one for the recursive case. The two main lists passed through the recursion are the list of games to be scheduled, and the evolving schedule.
Boundary Condition: When there are no more games to be scheduled, then the schedule passed to this point is the final schedule.
Recursive case: Take a days worth of games from the pending list and put them in the schedule list. Test to make sure no constraints are violated. If they are, backtrack, and if not make a recursive call with the rest of the pending list and the evolving schedule list.
Teams are represented by the digits 1 through 9, and games are represented by pairs of away and home teams separated by the '-' operator. For example 1-2 means 1 plays 2 at 2.
Given this, one can write a first approximation of the main predicates.
main :- schedule([1-2, 1-3, 1-4, ... 2-1, 2-3, ...], [], SCHEDULE) output(SCHEDULE).
schedule([], SCHEDULE, SCHEDULE). schedule(GAMES, PARTIAL_SCHEDULE, SCHEDULE) :- pick(GAMES, DAYS_GAMES, GAMES_LEFT), test(DAYS_GAMES, PARTIAL_SCHEDULE), schedule(GAMES_LEFT, [DAYS_GAMES|PARTIAL_SCHEDULE], SCHEDULE).
The predicate 'pick' selects four match ups for a day and returns the games left to play. The predicate 'test' makes sure the selected day's games don't violate any constraints.
This program has all of the control structure needed to search for a valid schedule. The partial schedule starts out as the empty list. At each level of recursion, games are picked to add to the schedule, and then tested. If the games selected cause a constraint fault, then the program backtracks into pick to get another possible set of games.
If there are no sets of games available for a day, then the program backtracks to the previous level of recursion, and tries a different set of games.
In this way, program execution continues forward and back, until finally a valid schedule is produced or all the choices are exhausted.
PrologProlog is not a difficult language to learn, but it includes features that are not commonly found in other languages. These features take some getting used to, but it is these features that make it an exceptional language for solving certain classes of problems. First, it is a symbolic language, meaning it is designed to manipulate symbols. For example 4 - 2 is a complex symbol in Prolog made up of three primitive symbols, in this case two integers and an operator. If asked, Prolog can evaluate this particular expression arithmetically, but in general it is just a symbol used exactly as it's written. The scheduling program makes use of this particular pattern to represent games, so 4 - 2 is used to mean team 4 plays team 2 at team 2's home. Second, it uses logical variables, which, unlike conventional programming variables, take on values based on pattern matching with symbols. Notationally, variables are indicated by an initial upper case letter. For example, in the scheduling program the variable X in the pattern X - 2 can be used to identify all of the teams that play team 2 at team 2's home. Third, it has a built-in backtracking search mechanism, so, unlike in conventional languages, execution can go both forward and back. When it goes backward, logical variables become unbound from their previous values, and when execution starts forward again, they can become bound to new values. For example, the pattern X - Y can be used to pick games from a list of games. If the game causes a constraint violation, backtracking will automatically lead to new values of X and Y as another possible game is selected. Fourth, it uses recursion. Many languages support recursion, but in Prolog recursion is a way of life. It is used extensively in the scheduling program, from the highest level loop which recursively selects games from the possible game list, building an output schedule as it goes, to the lowest level predicates that walk various intermediate lists looking for games and patterns as they ensure the constraints of the problem are met. Fifth, it is implemented using the Warren Abstract Machine (WAM). A naive implementation of Prolog can be tedious, as the features mentioned above do not naturally map to the underlying architecture of today's computers. (By contrast, the flow of control and variable representation of conventional programming languages map very cleanly to basic computer architecture, which is why they are designed the way they are.) David Warren designed an abstract computer with specialized heaps and stacks and its own assembly language that is highly optimized for executing compiled Prolog programs. It is used in one form or another by most serious Prolog implementations. While the first four features make Prolog an exceptional language for expressing the solution to problems such as the ACC scheduling problem, it is the fifth feature that makes it a practical language for implementing the solution. |
Unfortunately, I don't think any of us have the patience to wait for the simplified version of the program to wade through the massive search space of this problem, looking for a solution. There are a million or so possible combinations of games for any day, and 18 days in the full schedule. This means around a million to the 18th power possible schedules.
The way to get the search space down to a reasonable size is to use every bit of information about constraints as early as possible in the generation of a schedule. That way backtracking begins much closer to the source of a constraint problem. In the following section we'll look at how the various constraints were represented for this problem.
The nine teams are represented by a list of integers. The games/1 predicate uses that list to generate a long list of all possible games, with byes represented by the team number being repeated with an '=' operator between them. The generated list looks like
[1=1. 1-2, 1-3, ...2-1, 2=2. 2-3, ...9-8, 9=9]
Because this list includes all of the games that need to be scheduled, the constraint about games is satisfied when all games on the list are scheduled.
One way to guarantee four games and a bye each day is to have the loop that picks games for each day programmed with this information. Another way is to provide a template for a day's games, in which the teams are represented by variables. This is the approach taken in the scheduling program, for reasons that will become clearer later on.
The template for a days games is a complex Prolog pattern, or structure of the form
day(N, [T1=T1, T2-T3, T4-T5, T6-T7, T8-T9])
Notice that the second argument is a list with five elements. One is a bye, with the team name a variable, and the rest are games with different variables for each of the teams. The predicate that picks games walks this list of games in the template, unifying the variables with actual teams. This guarantees each day has one bye and four games.
The next constraint, that each team play each other once in the first half and once in the second half, leads to the first efficiency in the program. Because the first and second halves almost mirror each other, but have a slight difference, separate predicates are implemented for filling in each half.
The difference between the two halves is that when a game is picked for the schedule in the first half, it's inverse game is also removed from the games-left-to-play list and put on a list of games to be scheduled in the second half. This ensures a rematch won't be considered during the first half.
The second half, of course, doesn't need to build this secondary list of games.
The overall structure of the program then looks like
schedule(SCHEDULE) :- games(GAMES), first_half(GAMES, [], SCHEDULE_1, [], GAMES_2), second_half(GAMES_2, SCHEDULE_1, SCHEDULE).
The next major efficiency is added to the search in the predicate that picks the games for a given day. It works with a copy of the list of games that it drastically trims as each game is selected. Once two teams are playing, all other possible games with those two teams can be removed from the list of potential games for that day. (Backtracking automatically restores those games if necessary for further search.)
get_games([], _). get_games([AWAY-HOME|GAMES], PICK_LIST) :- deal(AWAY-HOME, PICK_LIST, PICKS_LEFT), clean(AWAY-HOME, PICKS_LEFT, CLEANED_PICKS), get_games(GAMES, CLEANED_PICKS).
The deal/3 predicate selects an AWAY-HOME pattern from the list of games, thus unifying the variables in the template with the values for AWAY and HOME. The clean/3 predicate then uses those values to remove all other games from the list of games that involves either of these teams.
This picking can be further improved by ensuring that the picks are combinations of games rather than permutations. That is, once a four game set has been picked for a day, there is no reason to try different arrangements of those same four games.
CodeTwo list utility predicates provide all of the power for the low level predicates. One is delete/3 which deletes an element from a list and returns the list of remaining elements. It, like member/2, is very useful for generating selections from a list, but with the added advantage that it returns the rest of the list as well, for further processing. delete(A,[A|X],X). delete(A,[B|X],[B|Y]) :- delete(A,X,Y). The pick/2 predicate is very similar, but has the useful behavior of not including any elements in the returned list that occur before the element selected. That way, when it is used to pick multiple items from the list, it does not generate permutations of those items. pick(A,[A|X],X). pick(A,[B|X],Y) :- pick(A,X,Y). |
The fairness constraints are the ones that make the ACC scheduling problem difficult to solve. The first issue is one of representation. All of the fairness constraints have to do with an individual team schedule, but the schedule is organized as a list of games played each day. One could extract each team's information from the schedule, but it is easier to maintain a second list that is organized by team.
This team list contains nine elements, where each element is a structure of the form
team(TEAM, BALANCE, HOMEAWAYLIST, WEDHOME, SATHOME, FIRSTBYE)
TEAM is the team's number.
BALANCE is the home/away game balance. It is initialized a 0. Each time a home game is added the balance is incremented. When an away game is added it is decremented. This must be 0 after the ninth game.
HOMEAWAYLIST is an 18 element list with the games for this team. Examples of elements of this list are a-3, h-5, and a-bye, indicating an away game with team 3, a home game with team 5 and a bye. Notice that the bye will match the pattern a-X which is used in the constraint that byes count as away games when constraining consecutive away games. Initially each of the elements of GAMELIST is an 'x', which will not match any of the game patterns.
WEDHOME and SATHOME are the total home games for Saturday and Wednesday. These must be equal at the end of the schedule.
FIRSTBYE indicates whether the first half bye of a team is a Saturday or Wednesday. The second half bye must be the other day.
The team list is passed through the levels of recursion along with the other game and schedule lists. It is updated as it goes, and the tests for fairness are applied against it's elements.
The simplest example is FIRSTBYE, which is set during the first half to either 'wed' or 'sat'. In the second half, when a bye is scheduled for a team, the day of the week is checked and if its the same as FIRSTBYE, then failure occurs initiating backtracking which will lead to another team being selected for that week's bye.
The rules which check the home away balance and home saturday home wednesday balance are similar.
The elegance of Prolog comes out in the rules which check if three home or away games have been played in a row, and which make sure there are at least three intervening games before two teams have a rematch.
Here is away_triple, which takes a team's game list and looks for a pattern with three away games in a row.
away_triple([a-_, a-_, a-_|Z]) :- !. away_triple([_|Z]) :- away_triple(Z).
If there are three away games in a row, away_triple succeeds, otherwise it fails. It is used with a not.
... not( away_triple(HOMEAWAYLIST) ), ...
The predicate that makes sure there are three intervening games is similar.
back_to_back([_-T, _-T|Z]) :- !. back_to_back([_-T, _, _-T|Z]) :- !. back_to_back([_-T, _, _, _-T|Z]) :- !. back_to_back([_|Z]) :- back_to_back(Z).
It succeeds if there are games too close, and fails otherwise.
As explained so far, the program will converge on a solution after awhile, but some of the constraints cause serious problems. For example, the program can merrily build a schedule and when it finishes game 9 discover the home/away balance is not right, so it starts backtracking. It would be better if it found out sooner it had a problem
The solution taken is to add a new constraint that the home/away balance cannot exceed 2 games at any time. This is more tightly constrained than the actual constraint, but prevents the evolving schedule from getting into a balance problem sooner rather than later.
A similar approach is taken with the Wednesday/Saturday balance of home games.
The program can also be sped up by only applying constraints when necessary. For example, the only time it is necessary to check if a rematch is too soon is during the opening games of the second half of the season. So the rules that check for back to back games have a pre-check that looks at the game day first. It won't actually check the home/away list unless it game 10, 11 or 12.
... not( (N>9, N<13, back_to_back(HOMEAWAYLIST)) ), ...
Anytime a heuristic can be applied that reduces the searching, performance of the application will be improved. This is actually the enjoyable challenge of the application, to come up with representations and heuristics that get it to find a schedule sooner rather than later. Given that it is not practical to explore the entire search space, such enhancements are necessary.
As it stands, the program generates a valid schedule in a couple of hours. This is good enough for the one time schedule, but we'd still like it to go faster. One immediate area to improve the home/away balance is to move the final tests for out of balance sooner. It now ensures the balance is 0 after game 9, but it could check that its less than 1 after game 8 as well.
Similar refinements can be added for the Wednesday/Saturday home game balance.
Another category of enhancement is to prearrange the list of unscheduled games before each day based on the team's balance information. For example, teams that are tilting towards too many home games will have their home games moved to the end of the picking list.
Finally we come to schedule-specific constraints. These are the games that must be played on fixed dates. This is where the value of using a template for the games of a day comes in. You remember that the predicates that pick the games for a day fill in a template, whose general form is
day(N, [T1=T1, T2-T3, T4-T5, T6-T7, T8-T9])
These templates can have specific games already filled in. For example, the games for both day 1 and day 18 are predetermined. The template for day 1 is
day(1, [6=6, 9-7, 3-2, 1-8, 4-5])
On some days, there are partial constraints. For example, team 6 must play team 2 at team 2 on the 9th game day. The template for day 9 is
day(9, [6-2, T1=T1, T2-T3, T4-T5, T6-T7]).
The same Prolog code handles a template with games predetermined as easily as one with variables. When there are variables, the predicate that selects games for the days can backtrack through the pick list. When the values are already set, then the predicate that selects games simply picks those predetermined games from the list and doesn't try again.
So, the predetermined games actually reduce the search space and, in one sense, make the problem easier. But to make use of them in this way, they must be dealt with first. For this reason, the schedule is not built in a simple linear fashion. Instead, the game days are sorted, with the most constrained being scheduled first, followed by the least constrained. For the first half, this means day 1 is scheduled first, followed by day 9, followed by the remaining days.
The second half starts out with day 18, whose schedule is completely predetermined.
The mechanism of prespecifying templates for certain days makes the program easy to modify for years to come, as each year's peculiarities can simply be added by adjusting the initial game day templates.
Prolog is an excellent language for implementing scheduling applications, especially when the constraints of the schedule are symbolic in nature. Scheduling applications are typically hard problems, with search spaces that cannot be fully explored. The expressiveness of Prolog makes it an excellent tool for specifying constraints and heuristics that reduce the search space. The performance of Prolog makes it practical.
Dennis Merritt is a partner in Amzi! inc., the vendor of Amzi! Prolog + Logic Server. A simplified sports scheduling demo application that produces round-robin schedules is available from their web site: http://www.amzi.com. Dennis can be reached at www.amzi.com.


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Dear Friend, My name is MR.ANTHONY UZO, an accredited attorney to intercontinental bank plc and an attorney to a foreign customer of intercontinental bank plc with account number14-255-2004/utb/t who perished in a plane crash [Korean Air Flight 801] with thewhole passengers aboard on August6,1997. Since the demise of this our customer, I have perconally made all posible effort to contact and next of kin but all has proved abortive as none has come to claim his funds of usd.15.5 m, [Fifteen million five hundred thousand united states dollars] which has been with my branch for a verylong time. On this note, I decided to seek for whom his name shall be used as the next of kin as no one has come up to be the next of kin. And the banking ethics here does not allow such money to stay more than seven years, because money will be recalled to the bank treasury as unclaimed after this period. In view of this I got your contact through a trade journal after realizing that your name and country is similar to the deceased. I will give you 30% of the total.Upon the receipt of your response, I will send you by fax or e-mail the application, bank's fax number and the next step to take. I will not fail to bring to your notice that this business is hitch free and that you should not entertain any fear as all modalities for fund transfer can be finalized with in five banking days, after you apply to the bank as a relation to the deceased.When you receive this letter. Kindly send me an e-mail signifying your interest including your private Tel/Fax numbers for quick communication. MY PRAVITE AND CONFIDENTAIL EMAIL:ADDRESS<EMAIL_ADDRESS>Yours faithfully, MR.ANTHONY UZO STRICTLY CONFIDENTAIL __________________________________________________________________ Get Tiscali Broadband From £15:99 http://www.tiscali.co.uk/products/broadbandhome/


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Lahore man handing out candies to children arrested over suspected kidnapping | Pakistan - Geo.tv
by Ahmed FarazLAHORE: A man who attempted to take away children after handing out candies to them was arrested over suspected kidnapping, police said Tuesday, after residents of the area became suspicious.
Lahore police said they were alerted by locals when a man in the city's Hanjarwal neighbourhood attempted to kidnap two children from their school by enticing them with candies. As he walked away, the residents of the area became suspicious and called police on him.
Police added that they arrested the man and recovered both the children from him. The kids were returned safely to their parents, they added.


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Plugin Information |
|---|
Distribution of this plugin has been suspended due to unresolved security vulnerabilities, see below. |
The current version of this plugin may not be safe to use. Please review the following warnings before use:
This plugin allows dynamic generation of default build parameter values.
Description
What Does the Plugin Do?
The plugin allows creating a build parameters, which default value(s) are generated by a Groovy script. The Groovy script is executed each time the build is triggered and allows generating default value(s) according to the current build context (e.g. current user-name, current date/time, etc. or more complex Groovy scripts). The Groovy script can be executed either on the master or on the slave where the build is executed. This can be configured from the build configuration page.
The plugin provides two types of parameters: simple text-field parameter and a choice (drop-down) parameter. If the parameter is a text-field, the corresponding Groovy script must return a single string value. If the parameter is a choice parameter, then the script must return a list of string values.
Examples
Current Date and Time
This is a simple example shows how to create a build parameter which has the current date and time. Create a new build job and choose "This build is parameterized". From the "Add Parameter" drop-down menu, choose "Dynamic Parameter".
Fill in the parameter "Name" and optional "Description". In the field "Default Value Script" write the Groovy script which returns the current date:
Note: if the "Remote Script" check-box is checked, then the script will be executed on the slave where the build is started.
Save the current job and click "Build Now". The build configuration page with the current date and time should show up:
Simple Choice List
This is a simple example which shows how to create a choice parameter. Similar to the previous example, create a new build job and choose "This build is parameterized". From the "Add Parameter" drop-down menu, choose "Dynamic Choice Parameter". Fill in the parameter "Name" and optional "Description". In the field "Choices Script" write the Groovy script which returns a list with some values:
Save the current job and click "Build Now". The build configuration page with a drop-down to choose from one of the generated values should show up:
Version History
0.1.1 (Apr 03, 2012)
- Safe use of anonymous classes
- Fixes in POM to allow release with maven release plugin
0.1.0 (Mar 20, 2012)
- Initial release
Attachments:
string-param-02.png (image/png)
string-param-03.png (image/png)
choice-param-01.png (image/png)
choice-param-02.png (image/png)
choice-param-03.png (image/png)


BATS
Classes are great for applying a broad set of css rules to mulitple elements a cross your page where as ids are for applying a more overruling rule set.
you can only apply one id per page but you can add as many classes to your page as you like. ids and classes also have a heirarchy type situation where the ids will overide any classes nested in around them. as you can see below ive used classes to quickly maniplate the bat textmojis, duplicating the class and making slight diferences to each class.
this to me seems like a just fine work flow.
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Windows users: please follow the installation guide in the README file
The dependencies required to develop with LimeJS include Python 2.6+, Git and Subversion or Git-SVN. If you wish to use Closure Compiler then Java is also required. Once you have your built game there are no specific requirements for the distribution server.
Download the source from github. The files include Javascript source files (in lime/) and one Python helper command line tool(lime.py) in bin/ directory.
Check out the features of the CLI utility by running
#!Bash
bin/lime.py --help
You will see the utility can handle initial setup, dependency updating, project creation, template generations and project building.
Start by running inital setup:
#!Bash
bin/lime.py init
This will download Closure Library, Box2D physics library, Closure Compiler & Templates and set them all up so they are ready for being used.
You're done! Create a simple helloworld project by running
#!Bash
bin/lime.py create helloworld
Open helloworld/helloworld.html in the browser and enjoy your accomplishment.
LimeJS is built with Closure Library. Closure is JavaScript library built by Google, it has been used to develop lot of Google's great products like Gmail or Docs. It is highly maintainable and readable, fast and feature rich. It also integrates well with other Closure tools like Compiler and Templates.
One of Closure's the most noticeable features is its namespacing system. Unlike some other libraries all the code is separated between files. Every file provides names for its code and can request some other files being present. While developing you only have to include base.js file that gives you new functions goog.provide(namespace)
and goog.require(namespace)
. Provide function declares that all code in the file can be requested with that name. Require function requests another file with that name. The whole system is analogues with any other language that has namespaces built in (Java, ActionScript, Python) with an exception that the name does not need to specify correct folder structure but can be completely arbitrary. Closure uses its built in deps.js file to map the namespaces to file paths. This means that if you add new namespaces you have to run
#!Bash
python bin/lime.py update
to update the deps.js so your new file can be accessed.
It is not required that you use goog.provide()
for your own project files but its highly encouraged. Using this will also get you much better results when you are ready to compile your game.
Working with LimeJS one of the common actions is to make your custom subclass of a builtin class. Using this you can add your custom game specific methods to common objects. This is an example of a lime.Circle's subclass mygame.Ball.
#!JavaScript
// make file loadable from other files
goog.provide('mygame.Ball');
// request that lime.Circle's definitions are loaded
goog.require('lime.Circle');
// new constructor
mygame.Ball = function(){
// call parents constructor
goog.base(this);
// custom initialization code
this.color_ = 'red';
}
// define parent class
goog.inherits(mygame.Ball,lime.Circle);
// new custom method for ball instances
mygame.Ball.prototype.myMethod = function(){
}
Closure provides you functions for listening and unlistening events for objects. You add an event listener with function goog.events.listen(src, type, listener, opt_capture, opt_handler)
. Src is the target object dispatching the event, type is the event name(for example mousedown). Listener is callback function that is called when event fires. You can also make the event fire in capture phase and define custom context object for callback function. Removing event listener uses same kind of function named goog.events.unlisten()
with all the same parameters.
If you wish to dispatch events from your custom object you have to make them subclass of goog.events.EventTarget and then call the objects dispatchEvent()
method.
There is much more you could know about Closure Library, check out the docs, book or video for more information.


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{% extends 'herders/profile/import_export/base.html' %} {% load staticfiles %} {% block content %} {% static 'herders/images/' as img_url_prefix %}
Your import has been queued and will be processed in the order it was received. You can leave this page and your import will still be processed. Starting multiple imports will not make it happen faster.

If it is FRR day, expect to wait for a little bit. Please don't try to import multiple times as each time you submit your data, you just get appended to the end of the queue.


Note: This document is itself written using Markdown; you can google it.
Readability, however, is emphasized above all else. A Markdown-formatted document should be publishable as-is, as plain text, without looking like it's been marked up with tags or formatting instructions. While Markdown's syntax has been influenced by several existing text-to-HTML filters -- including Setext, atx, Textile, reStructuredText, Grutatext, and EtText -- the single biggest source of inspiration for Markdown's syntax is the format of plain text email.
require 'redcarpet'
markdown = Redcarpet.new("Hello World!")
puts markdown.to_html
Mistaken text.
hallo foo
world
I <3 lists
and now ordered list
and whats about nested lists ;)


I'm absolute!
I am positioned relative to the page as a whole. I will move when you resize the page. I ignore elements around me.
I'm fixed!
I am positioned in relation to the broser window. I stay put when you scroll.
I'm relative!
My style properties are compared to the elements around me. I move in relation to where I NORMALLY would have been. I move in the OPPOSITE directino of TOP, LEFT, RIGHT, BOTTOM. I don't effect other elements.
I'm static!
I'm the default. I live on the page in the order that I am entered in the HTML page flow.


| time | event | room |
|---|---|---|
| 08:00 - 09:00 | SWWS Registration and Breakfast
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TCSEQ Center |
| 09:00 - 09:30 | Welcome (Organizers and Jim Hendler)
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Room TCSEQ 200 |
| 09:30 - 10:30 | The W3C Semantic Web Activity
presenter: Eric Miller
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Room TCSEQ 200 |
| 10:30 - 11:00 | Coffee Break
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| 11:00 - 12:30 | Ontology Engineering
(Tutorial Track)
chair: Charles Petrie
presenter: Natalya F. Noy
|
Room TCSEQ 200 |
| 11:00 - 12:30 | Session 1a
(Working Track 1: Ontology and Ontology Maintenance)
chair: Mark Tuttle,Deborah McGuinness
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| 11:00 - 12:30 | Session 1b
(Working Track 2: Interoperability, Integration, Composition)
chair: Vipul Kashyap
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Packard 101 |
| 11:00 - 12:30 | Session 1c
(Working Track 3: (Web-) Services and Applications)
chair: Sheila McIlraith,Jim Hendler
|
Bio T175 |
| 12:30 - 14:00 | Lunch
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TCSEQ Center |
| 12:45 - 13:45 | Demo Session
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Gates 104 |
| 14:00 - 15:30 | Semantic B2B Integration - Concepts, Architecture, Implementation and Deployment
(Tutorial Track)
chair: Charles Petrie
presenter: Christoph Bussler
|
Room TCSEQ 200 |
| 14:00 - 15:30 | Session 2a
(Working Track 1: Ontology and Ontology Maintenance)
chair: Mark Tuttle,Deborah McGuinness
|
Room CIS-X101 |
| 14:00 - 15:30 | Session 2b
(Working Track 2: Interoperability, Integration, Composition)
chair: Vipul Kashyap
|
Packard 101 |
| 14:00 - 15:30 | Session 2c
(Working Track 3: (Web-) Services and Applications)
chair: Sheila McIlraith,Jim Hendler
|
Bio T175 |
| 15:30 - 16:00 | Coffee Break
|
TCSEQ Center |
| 16:00 - 18:00 | Demos
(Tutorial Track)
chair: Charles Petrie
|
Room TCSEQ 200 |
| 16:00 - 18:00 | Session 3a
(Working Track 1: Ontology and Ontology Maintenance)
chair: Mark Tuttle,Deborah McGuinness
|
Room CIS-X101 |
| 16:00 - 18:00 | Session 3b
(Working Track 2: Interoperability, Integration, Composition)
chair: Vipul Kashyap
|
Packard 101 |
| 16:00 - 18:00 | Session 3c
(Working Track 3: (Web-) Services and Applications)
chair: Sheila McIlraith,Jim Hendler
|
Bio T175 |
| 19:00 - 22:00 | Banquet
|
Faculty Club |
| time | event | room |
|---|---|---|
| 08:00 - 09:00 | SWWS Registration and Breakfast
|
TCSEQ Center |
| 09:00 - 10:00 | Making Semantics Addressable -- Topic Maps Unclothed
presenter: Steven R. Newcomb,Michel Biezunski
|
Room TCSEQ 200 |
| 10:00 - 10:30 | Coffee break
|
TCSEQ Center |
| 10:30 - 12:00 | Panel: Emerging Semantics
chair: Vipul Kashyap
presenter: Umeshwar Dayal,Ora Lassila,Jim Hendler,Dieter Fensel,Clifford A Behrens
|
TCSEQ 200 |
| 12:00 - 13:30 | Lunch
|
TCSEQ Center |
| 12:15 - 13:15 | Demo Session
|
Gates 104 |
| 13:30 - 15:30 | Models and Languages for Describing and Discovering E-services
(Tutorial Track)
chair: Charles Petrie
presenter: Fabio Casati and Ming-Chien Shan
|
Room TCSEQ 200 |
| 13:30 - 15:30 | Session 4a
(Working Track 1: Ontology and Ontology Maintenance)
chair: Mark Tuttle,Deborah McGuinness
|
Room CIS-X101 |
| 13:30 - 15:30 | Session 4b
(Working Track 2: Interoperability, Integration, Composition)
chair: Vipul Kashyap
|
Packard 101 |
| 13:30 - 15:30 | Session 4c
(Working Track 3: (Web-) Services and Applications)
chair: Sheila McIlraith,Jim Hendler
|
Braun Auditorium |
| 15:30 - 16:00 | Coffee Break
|
TCSEQ Center |
| 16:00 - 18:00 | Facilitators Report and Announcement of BOF Sessions
|
TCSEQ 200 |
| 20:30 - 21:30 | The Semantic Web and the Bootstrap Institute
presenter: Doug Engelbart
|
Faculty Club |
| time | event | room |
|---|---|---|
| 08:00 - 09:00 | SWWS Registration and Breakfast
|
TCSEQ Center |
| 09:00 - 10:30 | Birds of the Feather Session CIS 101
|
CIS 101 |
| 09:00 - 10:30 | Birds of the Feather Session Packard 101
|
Packard 101 |
| 09:00 - 10:30 | Birds of the Feather Session TCSEQ 200
|
Room TCSEQ 200 |
| 09:00 - 10:30 | Birds of the Feather Session in Gates 104
|
Gates 104 |
| 10:30 - 11:00 | Coffee Break
|
The TCSEQ Center |
| 11:00 - 12:00 | BOF Wrap Up, Follow-up actions and Farewell
|
TCSEQ 200 |


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This is a low, flat island. The main ferry port of Tual is on the eastern side of the main island of Kai Ketjil where it is linked to Kai Dullah. It lies to the west of the mountainous island of Kai Besar. An easy place to get basic repairs done and reported to be very friendly.
Position 05° 38'S, 132° 44'E (Tual)
This is an official Port of Entry.
NEW Indonesian CIQP procedures came into effect from the 27th February, 2016. A CAIT, Green Book/Sailing Permit and use of an Agent to obtain clearance papers is no longer required. See Noonsite Indonesia Formalities for full details.
The port of Tual has clearance facilities. Officials are reported to be courteous, very friendly and helpful, they do not require any backsheesh on entry or exit and are efficient (see comments below). The only fees payable are for quarantine (health) and these are minimal.
The quarantine office is located behind the harbour master close to where you can tie up the dinghy. This is near the Coast Guard's patrol boat at the NE corner of the passenger terminal wharf. Customs is a short distance up the hill, you can go either by foot or take a motorbike taxi. Immigration is next to customs.
On departure, the HM office will issue a clearance document.
For information on extending your visa here - see report January 2015 on Indonesian Officialdom.
Last updated March 2016.
This attractive group of islands has some excellent anchorages.
Tual Harbour
There is a good, safe anchorage in 13m and sand just off the main port. Short dinghy trip into town. Tie up at the wharf just inland behind the Coast Guard patrol boat and check that it is o.k..
Provision shops and restaurants. Good fresh food market by the terminal. Fuel from one of the stilt houses where they have fuel drums for the fishing boats.
P Woha
An attractive anchorage in 10m over sand and rocks. Anchor anywhere north of P Woha. Good protection from all directions. No facilities.
Last updated June 2015.


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Before Change
class Lemmatizer(object):
@classmethod
def load(cls, path, index=None, exc=None, rules=None, lookup=None):
return cls(index or {}, exc or {}, rules or {}, lookup or {})
def __init__(self, index=None, exceptions=None, rules=None, lookup=None):
self.index = index if index is not None else {}
After Change
class Lemmatizer(object):
@classmethod
def load(cls, path, index=None, exc=None, rules=None, lookup=None):
return cls(index, exc, rules, lookup)
def __init__(self, index=None, exceptions=None, rules=None, lookup=None):
self.index = index
self.exc = exceptions


Gunmen Kidnap Yola varsity professor - The Nation Newspaper
by https://www.facebook.com/CheerfulpraiseOnimisi Alao, Yola
Gunmen have kidnapped a professor in the Department of Urban and Regional Planning of Modibbo Adama University of Technology (MAUTECH), Yola.
Our correspondent gathered Friday that Prof Felix Ilesani was abducted Thursday night from his residence at the staff quarters of the university in Girei, headquarters of Girei Local Government Area of Adamawa State.
The professor is the chaplain of Trinity Chapel, a church located on the main campus of the university.
The Police Public Relations Officer of the Adamawa State Police Command, DSP Suleiman Nguroje, confirmed the development, saying the Chief Security officer of the university reported it.
He said police officers had been assigned to rescue the professor and arrest the kidnappers.
Felix Ilesani is the second professor of MAUTECH to fall into the hands of kidnappers in a little over one month.
Early last month, a professor of Soil Science in the university, Adamu Zata, was kidnapped. Adamu Zata himself had first been kidnapped and then released a year earlier, in October 2018.