PostgreSQL commands
Each row in a relational is uniquely identified by a primary key. This can be by one or more sets of column values. In most scenarios it is a single column, such as employeeID.
Every relational table has one primary key. Its purpose is to uniquely identify each row in the database. No two rows can have the same primary key value. The practical result of this is that you can select every single row by just knowing its primary key.
SQL Server UNIQUE constraints allow you to ensure that the data stored in a column, or a group of columns, is unique among the rows in a table.
Although both UNIQUE and PRIMARY KEY constraints enforce the uniqueness of data, you should use the UNIQUE constraint instead of PRIMARY KEY constraint when you want to enforce the uniqueness of a column, or a group of columns, that are not the primary key columns.
Different from PRIMARY KEY constraints, UNIQUE constraints allow NULL. Moreover, UNIQUE constraints treat the NULL as a regular value, therefore, it only allows one NULL per column.
Create a new role:
CREATE ROLE role_name;
Create a new role with a username
and password
:
CREATE ROLE username NOINHERIT LOGIN PASSWORD password;
Change role for the current session to the new_role
:
SET ROLE new_role;
Allow role_1
to set its role as role_2:
GRANT role_2 TO role_1;
CREATE DATABASE [IF NOT EXISTS] db_name;
Delete a database permanently:
DROP DATABASE [IF EXISTS] db_name;
Create a new table or a temporary table
CREATE [TEMP] TABLE [IF NOT EXISTS] table_name(
pk SERIAL PRIMARY KEY,
c1 type(size) NOT NULL,
c2 type(size) NULL,
...
);
Add a new column to a table:
ALTER TABLE table_name ADD COLUMN new_column_name TYPE;
Drop a column in a table:
ALTER TABLE table_name DROP COLUMN column_name;
ALTER TABLE table_name RENAME column_name TO new_column_name;
Set or remove a default value for a column:
ALTER TABLE table_name ALTER COLUMN [SET DEFAULT value | DROP DEFAULT]
Add a primary key to a table.
ALTER TABLE table_name ADD PRIMARY KEY (column,...);
Remove the primary key from a table.
ALTER TABLE table_name
DROP CONSTRAINT primary_key_constraint_name;
ALTER TABLE table_name RENAME TO new_table_name;
Drop a table and its dependent objects:
DROP TABLE [IF EXISTS] table_name CASCADE;
CREATE OR REPLACE view_name AS
query;
CREATE RECURSIVE VIEW view_name(column_list) AS
SELECT column_list;
CREATE MATERIALIZED VIEW view_name
AS
query
WITH [NO] DATA;
Refresh a materialized view:
REFRESH MATERIALIZED VIEW CONCURRENTLY view_name;
Drop a view:
DROP VIEW [ IF EXISTS ] view_name;
Drop a materialized view:
DROP MATERIALIZED VIEW view_name;
Rename a view:
ALTER VIEW view_name RENAME TO new_name;
Creating an index with the specified name on a table
CREATE [UNIQUE] INDEX index_name
ON table (column,...)
Removing a specified index from a table
DROP INDEX index_name;
Query all data from a table:
SELECT * FROM table_name;
Query data from specified columns of all rows in a table:
SELECT column_list
FROM table;
Query data and select only unique rows:
SELECT DISTINCT (column)
FROM table;
Query data from a table with a filter:
SELECT *
FROM table
WHERE condition;
Assign an alias to a column in the result set:
SELECT column_1 AS new_column_1, ...
FROM table;
Query data using the LIKE
operator:
SELECT * FROM table_name
WHERE column LIKE '%value%'
Query data using the BETWEEN
operator:
SELECT * FROM table_name
WHERE column BETWEEN low AND high;
Query data using the IN
operator:
SELECT * FROM table_name
WHERE column IN (value1, value2,...);
Constrain the returned rows with the LIMIT
clause:
SELECT * FROM table_name
LIMIT limit OFFSET offset
ORDER BY column_name;
Query data from multiple using the inner join, left join, full outer join, cross join and natural join:
SELECT *
FROM table1
INNER JOIN table2 ON conditions
SELECT *
FROM table1
LEFT JOIN table2 ON conditions
SELECT *
FROM table1
FULL OUTER JOIN table2 ON conditions
SELECT *
FROM table1
CROSS JOIN table2;
SELECT *
FROM table1
NATURAL JOIN table2;
Return the number of rows of a table.
SELECT COUNT (*)
FROM table_name;
Sort rows in ascending or descending order:
SELECT select_list
FROM table
ORDER BY column ASC [DESC], column2 ASC [DESC],...;
Group rows using GROUP BY
clause.
SELECT *
FROM table
GROUP BY column_1, column_2, ...;
Filter groups using the HAVING
clause.
SELECT *
FROM table
GROUP BY column_1
HAVING condition;
Combine the result set of two or more queries with UNION
operator:
SELECT * FROM table1
UNION
SELECT * FROM table2;
Minus a result set using EXCEPT
operator:
SELECT * FROM table1
EXCEPT
SELECT * FROM table2;
Get intersection of the result sets of two queries:
SELECT * FROM table1
INTERSECT
SELECT * FROM table2;
Insert a new row into a table:
INSERT INTO table(column1,column2,...)
VALUES(value_1,value_2,...);
Insert multiple rows into a table:
INSERT INTO table_name(column1,column2,...)
VALUES(value_1,value_2,...),
(value_1,value_2,...),
(value_1,value_2,...)...
Update data for all rows:
UPDATE table_name
SET column_1 = value_1,
...;
Update data for a set of rows specified by a condition in the WHERE
clause.
UPDATE table
SET column_1 = value_1,
...
WHERE condition;
Delete all rows of a table:
DELETE FROM table_name;
Delete specific rows based on a condition:
DELETE FROM table_name
WHERE condition;
Show the query plan for a query:
EXPLAIN query;
Show and execute the query plan for a query:
EXPLAIN ANALYZE query;
Collect statistics:
ANALYZE table_name;
DROP DATABASE IF EXISTS books_db;
CREATE DATABASE books_db WITH ENCODING='UTF8' TEMPLATE template0;
DROP TABLE IF EXISTS books;
CREATE TABLE books (
id SERIAL PRIMARY KEY,
client VARCHAR NOT NULL,
data JSONb NOT NULL
);
INSERT INTO books(client, data) values( 'Joe', '{ "title": "Siddhartha", "author": { "first_name": "Herman", "last_name": "Hesse" } }' ); INSERT INTO books(client, data) values('Jenny', '{ "title": "Bryan Guner", "author": { "first_name": "Jack", "last_name": "Kerouac" } }'); INSERT INTO books(client, data) values('Jenny', '{ "title": "100 años de soledad", "author": { "first_name": "Gabo", "last_name": "Marquéz" } }');
Lets see everything inside the table books:
SELECT * FROM books;
Output:
->
operator returns values out of JSON columnsSelecting 1 column:
SELECT client,
data->'title' AS title
FROM books;
Output:
Selecting 2 columns:
SELECT client,
data->'title' AS title, data->'author' AS author
FROM books;
Output:
->
vs ->>
The ->
operator returns the original JSON type (which might be an object), whereas ->>
returns text.
You can use the ->
to return a nested object and thus chain the operators:
SELECT client,
data->'author'->'last_name' AS author
FROM books;
Output:
Select rows based on a value inside your JSON:
SELECT
client,
data->'title' AS title
FROM books
WHERE data->'title' = '"Bryan Guner"';
Notice WHERE uses ->
so we must compare to JSON '"Bryan Guner"'
Or we could use ->>
and compare to 'Bryan Guner'
Output:
Find rows based on the value of a nested JSON object:
SELECT
client,
data->'title' AS title
FROM books
WHERE data->'author'->>'last_name' = 'Kerouac';
Output:
CREATE TABLE events (
name varchar(200),
visitor_id varchar(200),
properties json,
browser json
);
We’re going to store events in this table, like pageviews. Each event has properties, which could be anything (e.g. current page) and also sends information about the browser (like OS, screen resolution, etc). Both of these are completely free form and could change over time (as we think of extra stuff to track).
INSERT INTO events VALUES (
'pageview', '1',
'{ "page": "/" }',
'{ "name": "Chrome", "os": "Mac", "resolution": { "x": 1440, "y": 900 } }'
);
INSERT INTO events VALUES (
'pageview', '2',
'{ "page": "/" }',
'{ "name": "Firefox", "os": "Windows", "resolution": { "x": 1920, "y": 1200 } }'
);
INSERT INTO events VALUES (
'pageview', '1',
'{ "page": "/account" }',
'{ "name": "Chrome", "os": "Mac", "resolution": { "x": 1440, "y": 900 } }'
);
INSERT INTO events VALUES (
'purchase', '5',
'{ "amount": 10 }',
'{ "name": "Firefox", "os": "Windows", "resolution": { "x": 1024, "y": 768 } }'
);
INSERT INTO events VALUES (
'purchase', '15',
'{ "amount": 200 }',
'{ "name": "Firefox", "os": "Windows", "resolution": { "x": 1280, "y": 800 } }'
);
INSERT INTO events VALUES (
'purchase', '15',
'{ "amount": 500 }',
'{ "name": "Firefox", "os": "Windows", "resolution": { "x": 1280, "y": 800 } }'
);
Now lets select everything:
SELECT * FROM events;
Output:
Using the JSON operators, combined with traditional PostgreSQL aggregate functions, we can pull out whatever we want. You have the full might of an RDBMS at your disposal.
SELECT browser->>'name' AS browser, count(browser) FROM events GROUP BY browser->>'name';
Output:
SELECT visitor_id, SUM(CAST(properties->>'amount' AS integer)) AS total FROM events WHERE CAST(properties->>'amount' AS integer) > 0 GROUP BY visitor_id;
Output:
SELECT AVG(CAST(browser->'resolution'->>'x' AS integer)) AS width, AVG(CAST(browser->'resolution'->>'y' AS integer)) AS height FROM events;
Output:
bgoonz — Overview
Web Developer, Electrical Engineer JavaScript | CSS | Bootstrap | Python | React | Node.js | Express | Sequelize…github.com
Or Checkout my personal Resource Site:
a/A-Student-Resources
Edit descriptiongoofy-euclid-1cd736.netlify.app
bgoonz’s gists
Instantly share code, notes, and snippets. Web Developer, Electrical Engineer JavaScript | CSS | Bootstrap | Python |…gist.github.com
bgoonz — Overview
Web Developer, Electrical Engineer JavaScript | CSS | Bootstrap | Python | React | Node.js | Express | Sequelize…github.com
Web-Dev-Hub
Memoization, Tabulation, and Sorting Algorithms by Example Why is looking at runtime not a reliable method of…bgoonz-blog.netlify.app
By Bryan Guner on March 5, 2021.
Exported from Medium on July 13, 2021.


Blue Light Event
Dear Singaenas,
Please use this flashing blue light for the song Love Poem:
1. Set maximum screen brightness.
2. Switch off fingerlights and lightsticks.
3. Wave your phone with the blue screen facing IU when she sings Love Poem.
To open this page in full screen, add this web page to your home screen and launch from there!
Please load this page a few times on a fast Internet before the concert.
[Tap to close]


title = "UI Elements" url = "/ui-elements" layout = "default" == {% put scripts %} {% endput %}
|
|
|
Colors — is almost the most important part of the Flat UI. Better to use different shades of provided colors than new.
No gradients, no shadows.


Book Reviews: Ness by Robert Macfarlane and Stanley Donwood, The Starless Sea by Erin Morgenstern, Find Me by Andre Aciman and more
:: Ness by Robert Macfarlane and Stanley Donwood is published in hardback by Hamish Hamilton, priced £14.99 (ebook £9.99). Available now
"IT WAS all sea once, in a long unbroken line." The last words took this reader back to the start for a second reading. Robert Macfarlane describes Ness as "by some distance the strangest book I've ever written".
He's not wrong, and lovers of The Old Ways or Underland may wonder what they have stumbled across. Ness is hard to pin down. It's an ecological prose poem in which a sinister figure known as The Armourer is conducting a terrible ritual, only for five more-than-human forms to cross land, sea and time to stop him.
Ness isn't exactly poetry or prose, but something in-between, part climate-change mystery play, too. As you would expect from Macfarlane, it's beautifully written – "the slow silicate grammar-gather of flecks of entity, creeping together over millennia". Stanley Donwood's line drawings sketch in even more meaning.
A beautiful text.
Julian Cole
:: Find Me by Andre Aciman is published in hardback by Faber & Faber, priced £14.99 (ebook £8.99). Available now
FOLLOWING the success of Call Me By Your Name - the summer-drenched film adaptation of Andre Aciman's 2007 novel, starring Timothee Chalamet as American-Italian Elio, and Armie Hammer as American scholar Oliver – a sequel was practically guaranteed.
Find Me is that novel, sets years later and separated into three strands. It sees Elio's father Sami catch a train; Elio, now a classical pianist meet someone intriguing at a concert; and Oliver, who has a family, consider making the past his new present.
The trio collide rarely, so while thoughtful, nuanced and beautifully written, plot-wise, Find Me is rather sluggish. The lightness of touch and the nimbleness Aciman has with language, do not quite delight as they should, instead the pace stalls, making each third of this slim book quite stifling.
Ella Walker
:: The Starless Sea by Erin Morgenstern is published in hardback by Harvill Secker, priced £16.99 (ebook £9.99). Available now
IF YOU read Erin Morgenstern's debut, The Night Circus, you'll have been counting down the days to her follow-up, but this fantastical and (very, very) lengthy tale doesn't hit the enchanting notes hoped for.
Protagonist, Zachary, now a postgraduate student in Vermont, a memory of a door in a wall he didn't open as a child – a memory he finds written down in a library book – sets him off on an adventure to the Starless Sea.
He is pitched into a topsy-turvy world of storytellers and assassins; a world that should be wondrous and captivating, but is flimsy and flat. Real feeling (which abounded in The Night Circus) is sadly absent, meaning you haul yourself through the many pages, frustrated. Morgenstern went too big with this new world, and seemingly forgot to ground it in characters you can love.
Ella Walker
CHILDREN'S BOOK OF THE WEEK
:: We Are The Beaker Girls by Jacqueline Wilson is published in hardback by Doubleday Children's, priced £12.99 (ebook £8.99). Available now
JACQUELINE Wilson,returns to her fierce heroine and best-known character in this sequel to My Mum Tracy Beaker. The story follows 10-year-old Jess Beaker, Tracy's daughter, who has to move home, town and school after her mum breaks up with her cheating boyfriend.
They move into a flat above an old antique shop called The Dumping Ground, giving Tracy instant deja vu as that's what she used to call the children's home she grew up in. Jess also befriends Jordan, who has run away from her care home and needs help of her own. Together the pair form an unlikely friendship.
The story follows the paths of mum and daughter as they start new lives together. I loved this book because it shows the importance of friendship and hope. And there's unexpected romance in the air when an old friend of Tracy's make a reappearance.
Isla Brotzel (12)


These Irons Are Hot x Made To Be Natural
2013 Congress Champion 2 yr. old Open Hunter Under Saddle
2013 Congress Champion 2 yr. old Non Pro & Ltd. Non Pro Hunter Under Saddle
2013 NSBA Reserve World Champion 2 yr. old Non Pro Hunter Under Saddle
Allocate Your Assets x Zips Classy Act
2014 NSBA World Champion Hunter Under Saddle Longe Line
Invitation Only x Zippin The Breeze
Lifetime earnings over $80,000
2011 Hylton Maiden Champion & Little Futurity Champion
AQHA Hight Point Novice Am. Western Pleasure, 3x Superior Western Pleasure, AQHA World Show 8th place Amateur Western Pleasure


Firefighters Warn Residents of Australian State NSW They 'May Not Get Help' Amid Severe Fires
As a result of forest fires in northeast Australia, at least two people were killed and seven more are reported missing, according to the fire service of the state of New South Wales.
The New South Wales Rural Fire Service (NSW RFS) said on Sunday that they were expecting severe fire danger across wide-ranging parts of the country's most populated state.
According to the state’s regional fire service, 81 forest fires have been recorded in the region, 36 of which are still not localised. An emergency was declared in 4 districts of the state; a warning regarding preparations for evacuation was issued for 16 of them. More than 150 residential buildings and a number of administrative buildings, including a school, have been completely destroyed by fire. More than 1.,300 thousand firefighters and about 300 special equipment units were mobilised to fight the fires.
According to SBS, Australian Prime Minister Scott Morrison said that if the situation worsens, the forces of the national army and reservists could be brought in to fight the fires.


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Check Ratings and Reviews of Sellers before you purchase so that you are gauranteed good quality products from the right vendors.
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When you decide to partner with OneAVC, you are gauranteed enhanced business operations, effective collaboration, quick access to most of what you'll need to drive effectictive growth.
OneAVC by Sterling is on a mission to ensure the Agricultural sector in Nigeria runs at optimal levels. Ensuring good circulation of food across the nation whilst improving the lives and operations of those who make this happen


|
CoreSight Access Library
2.3
ARM CoreSight Access Library - on target CoreSight component control
|
The demonstration programs provide examples of the usage of the library for a set of supported boards. The examples show how to register a system with the library, and then set-up and extract trace from the system. These programs and associated makefile are provided in the ./demos
directory.
Board support is provided for a number of standard ARM platforms:-
Support for other platforms can be created by following the examples above to create specific packages for the desired board.
The example programs provided are:-
csls
: A simple CoreSight list program that decodes a CoreSight ROM table and lists the components found there.cs_etm_config_demo
: A program demonstrating and printing the configuration of an ETM or PTM component.tracedemo
: A program to capture trace on a running linux system.trace_cti_stop
: This captures trace on the running system in a similar way to tracedemo, but uses the CTIs channels and triggers to inject a trigger-packet into the trace for each core, control the trace generated by the cores, and trigger the ETB to flush and halt capture.These programs can be built on a target system using the supplied makefile
.
The examples link to both the main CS Access library, and the CS Access Utility library.
The source example files provided are:-
cs_demo_known_boards.c
and cs_demo_known_boards.h
: These files provide a list of known hardware boards for use in the demos. This list is passed to the CS Access Utility library setup_board()
or setup_named_board()
function.csls.c
: main program source for the csls example.cs_etm_config_demo.c
: main program source for the etm configuration demo.tracedemo.c
: main program source for the trace capture demo.tracedemo_cti_stop.c
: main program to trigger and stop trace capture using CTIs.Running make
in the ./demos
directory, or make
in the project root directory will build the default release versions of all the demo programs. These will be created in the ../bin/<arch>/rel
output directory, relative to ./demos
. The build process links to the csaccess libraries built into the ../lib/<arch>/rel
directory.
When built from the project root directory, the demos are built with the same command line options as the main library.
By default csls
, tracedemo
, etmdemo
and trace_cti_stop
are built.
Individual programs can be built using the name of the program on the make command line if run in the ./demos directory. When building individual demos, use the same make command line options as building the CSAL library.
e.g. The following command line builds the debug version of tracedemo
make tracedemo DEBUG=1
This section covers the details for running the TraceDemo example on a supported board. The set-up procedures here also apply to running any of the other examples on a target system.
The sources are provided in [DS-5 install dir]/examples/CoreSight_Access_Library.zip
.
First, import the example into the DS-5 Eclipse workspace as follows:
[DS-5 install dir]\examples
, select Coresight_Access_Library.zip
, then press 'OK'. The Projects: field populates with the project(s) found in the .zip
.Next, boot Linux on your target, login (preferably as root), and get the IP address of the target using ifconfig
. Then copy the CoreSight_access
directory from the workspace to a suitable writable directory on your Linux target, either using Remote System Explorer as provided in DS-5 or using a secure copy program such as scp
(Windows versions of this Linux command are available, such as pscp
as provided with "Putty").
Before you can use the example on your target, you may have to modify some of the source files to suit your target:
cs_demo_known_boards.c
. To do this add an entry in the known_boards[]
array, and write a suitable registration function.tracedemo.c
and modify the values of:KERNEL_TRACE_SIZE
is the extent of the region to trace, andKERNEL_TRACE_VIRTUAL_ADDR
is the virtual address of the start of the region to trace, i.e. corresponding to addresses in the vmlinux file. If not set, it will default to the kernel load address plus 0x50000.One way to identify the addresses of candidate regions/functions to trace is to use, for example:
grep cpu_idle /proc/kallsyms
Before using the example on your target, check the following:
For tracedemo
to use mmap
to read kernel memory (which it then dumps to a file kernel_dump.bin
that can be read by DS-5 Debugger), the kernel must have been built without CONFIG_STRICT_DEVMEM=y
.
You can check this by typing:
zgrep "CONFIG_STRICT_DEVMEM" /proc/config.gz
If the kernel has been built with CONFIG_STRICT_DEVMEM=y
, then you must either rebuild it with CONFIG_STRICT_DEVMEM=n
or dump the kernel memory manually by some other means, for example, use DS-5 Debugger and DSTREAM to dump this kernel memory from the target (with, for example, the CLI command dump memory kernel_dump.bin 0xC0008000 +0x50000
), or extract this kernel memory from the kernel Image file.
tracedemo
to use mmap()
to read kernel memory via /dev/kmem
, the kernel must have been built with CONFIG_DEVKMEM=y
.To view the disassembly and trace augmented with symbols (e.g. function names), the vmlinux
file for the kernel must be available, built with debug symbols. To map the trace and disassembly back to kernel source files, the kernel source tree must also be available.
The vmlinux
file with debug symbols is created when the kernel is built with debug info (CONFIG_DEBUG_INFO=y
). You can check how your kernel was built by typing:
grep "CONFIG_DEBUG_INFO" /proc/config.gz
If using make menuconfig
to rebuild the kernel, select the following under 'Kernel Hacking':
[*] Kernel debugging [*] Compile the kernel with debug info
These are additional steps required on Juno systems to ensure correct operation of the CSAL.
The scripts mentioned below are shipped in the demos/juno_demo_setup
directory.
Preventing Core Power Down when Idle
The Juno examples were built and tested on a Juno system that prevented the power down of idle cores. This was to ensure that all the resources were accessible when the examples were run.
To achieve this:-
1) Create a file with the following contents with a suitable name (e.g. no_cpu_idle.sh).
#!/bin/sh for i in 0 1 2 3 4 5; do for j in 0 1 2 ; do echo 1 > /sys/devices/system/cpu/cpu$i/cpuidle/state$j/disable; done; done
This can be run each time the system is booted. Alternatively, the following steps automate the process:-
2) Copy the file into /etc/init.d/
3) Run the following command to create an execute on boot link
ln -s /etc/init.d/YOUR_FILE_NAME /etc/rc5.d/S99_disable_cpuidle.sh
4) Reboot and confirm that idle is disabled by checking one of the cores (not core0)
cat /sys/devices/system/cpu/cpu3/cpuidle/state1/disable
See FAQ: Why am I having problems connecting a debugger to the Juno in DS-5?
Ensuring Debug Hardware Correctly Powered
Early Juno system SCP firmware had no way to power up the CoreSight debug hardware without a request from an external debugger. This results in a hang when accessing the CoreSight ROM table and other CoreSight hardware.
This has been corrected using firmware release for Linux kernel 4.9. (16.11 release package).
The workaround is to force a DAP power-up request on the application DAP by briefly attaching an external debug system.
The following script can be used with a DSTREAM connection in the CSAT tool shipped with DS-5 to power the DAPs.
# Wake DAPS on a Juno system - allow CSAL to access CS debug hardware echo Powering Juno DAPs. # set the scan chain. chain dev=ARMCS-DP,ARMCS-DP # connect to first - will force power up dvo 0 # check DP register for power ACK bits drr dp.csw dvc # connect to second - will force power up dvo 1 # check DP register for power ACK bits drr dp.csw dvc echo Done
To use:-
1) Copy the script into a suitable file - e.g. juno_wake_dap.cst
2) Connect DSTREAM to your Juno board. Run the CSAT tool and connect to your DSTREAM.
3) On the CSAT command line type
%> batch juno_wake_dap.cst
4) Disconnect CSAT and DSTREAM.
Run the tracedemo
Linux application as root from the .\bin\rel
directory:
./tracedemo
This will auto-detect the target board (if supported), configure trace generation, and retrieve trace from the trace buffer.
If the board is not correctly detected then the following command line may be used:
./tracedemo -board-name Juno
The name parameter (Juno in this example) must match the .hardware
structure element in the known_boards[]
array in the cs_demo_known_boards.c
file.
To view the possible run options, add "-h" for help:
./tracedemo -h
You will see output like:
Usage: -h This help screen. -c <cpu>; Select CPU for demo to run on. Default 0 -itm Enable ITM tracing, ITM tracing disabled by default. -full Show full trace with no filtering. -pause Run the demo with a pause after each step.
If you see: ** csaccess: ERROR: can't open /dev/mem
, then try running it as sudo:
sudo ./tracedemo
You will see output like (for Snowball):
root@linaro-ubuntu-desktop:/home/root/CoreSight_access# ./tracedemo Default configuration, no CPU affinity selected. ITM disabled. CoreSight demonstrator ** Currently affine CPUs: #0 #1 CSDEMO: Detected 'ST-Ericsson Snowball platform' board CSDEMO: Registering Snowball CoreSight devices... 801A4000: 1.2<PHONE_NUMBER>0 00/0F type= 7 - SINK BUFFER(8K) 801A5000: 4.1<PHONE_NUMBER>0 00/0F type=10 - CTI 801A6000: 2.1<PHONE_NUMBER>8 00/0F type= 4 - LINK 801A8000: 5.1 C09 00000000 00/FF type=11 - CPU DEBUG v7 (full CP14) (4 wpt) (6 bkpt) non-Secure auth=AF 801A9000: 6.1 9A0 00000000 00/FF type=12 - CPU PMU (6 counters) auth=8C 801AA000: 5.1 C09 00000000 00/FF type=11 - CPU DEBUG v7 (full CP14) (4 wpt) (6 bkpt) non-Secure auth=AF 801AB000: 6.1 9A0 00000000 00/FF type=12 - CPU PMU (6 counters) auth=8C 801AC000: 4.1<PHONE_NUMBER>0 00/0F type=10 - CTI 801AD000: 4.1<PHONE_NUMBER>0 00/0F type=10 - CTI 801AE000: 3.1<PHONE_NUMBER>0 00/FF type= 1 - CPU SOURCE PTMv1.0 801AF000: 3.1<PHONE_NUMBER>0 00/FF type= 1 - CPU SOURCE PTMv1.0 CSDEMO: Registering CPU affinities... CSDEMO: Registering trace-bus connections... CSDEMO: Registration complete. CSDEMO: Configuring trace... CSDEMO: Configuring trace source id for CPU #0 ETM/PTM... CSDEMO: Initialising ETM/PTM ** 801AE000: write 030 (off) = 0000406F now 00000000 ** 801AE000: write 150 (off) = 00000000 now 00020000 CSDEMO: Configuring trace source id for CPU #1 ETM/PTM... CSDEMO: Initialising ETM/PTM ** 801AF000: write 030 (off) = 0000406F now 00000000 ** 801AF000: write 150 (off) = 00000000 now 00020000 ETM static configuration: ETMCCR = 8D294004 ETMCCER = 000008EA ETMSCR = 00000000 ETMIDR = 411CF301 ETM dynamic configuration: ETMCR = 00000000 Trace enable event: true Trace enable control: CR1=00000001 CR2=00000000 Trace start comparators: 0000 Trace stop comparators: 0000 Counters: 2 #0: value=00001000 enable=single-addr-comp-0 reload_value=00002000 reload_event=counter-zero-0 #1: value=00001000 enable=sequencer-state-2 reload_value=00002000 reload_event=counter-zero-1 Address comparators: 8 #0: address=C0008000 type=00000019 (execute) (size=4) (S:all) (NS:all) #1: address=C0058000 type=00000019 (execute) (size=4) (S:all) (NS:all) Sequencer present: 1 Sequencer: Current state: 1 1 -> 2: single-addr-comp-0 1 -> 3: false 2 -> 1: false 2 -> 3: single-addr-comp-1 3 -> 1: false 3 -> 2: false ** 801AE000: write 080 (CS_ETMACTR(i)) = 00000019 now 00000001 ** 801AE000: write 084 (CS_ETMACTR(i)) = 00000019 now 00000001 CSDEMO: Reading back configuration after programming...  ETM static configuration: ETMCCR = 8D294004 ETMCCER = 000008EA ETMSCR = 00000000 ETMIDR = 411CF301 ETM dynamic configuration: ETMCR = 00000400 Cycle accurate: 0 Branch output: 0 Timestamp enabled: 0 CONTEXTID size: 0 bytes Trace enable event: true Trace enable control: CR1=00000001 CR2=00000000 Trace start comparators: 0000 Trace stop comparators: 0000 Trigger event: false Counters: 2 #0: value=00001000 enable=single-addr-comp-0 reload_value=00002000 reload_event=counter-zero-0 #1: value=00001000 enable=sequencer-state-2 reload_value=00002000 reload_event=counter-zero-1 Address comparators: 8 #0: address=C0008000 type=00000001 (execute) (size=1) (S:all) (NS:all) #1: address=C0058000 type=00000001 (execute) (size=1) (S:all) (NS:all) #2: address=B277380E type=00000D01 (execute) (size=1) (S:none) (NS:none) #3: address=E8FF4E39 type=00000D01 (execute) (size=1) (S:none) (NS:none) #4: address=989EAE80 type=00000801 (execute) (size=1) (S:all) (NS:none) #5: address=45FB31E5 type=00000F01 (execute) (size=1) (S:none) (NS:none) #6: address=E5F180E4 type=00000C01 (execute) (size=1) (S:none) (NS:none) #7: address=B6FD1362 type=00000301 (execute) (size=1) (S:all) (NS:all) Data comparators: 0 Sequencer present: 1 Sequencer: Current state: 1 1 -> 2: single-addr-comp-0 1 -> 3: false 2 -> 1: false 2 -> 3: single-addr-comp-1 3 -> 1: false 3 -> 2: false CONTEXTID comparators: 1 Mask: FFFFFFFF #0: contextid: 00000000 External outputs: #0: false #1: false CSDEMO: Enabling trace... CSDEMO: Configured and enabled trace. CSDEMO: Trace configured CSDEMO: Created trace configuration export files CSDEMO: trace buffer contents: 8192 bytes [press RETURN to stop tracing or q/Q to quit] CSDEMO: Disable trace... CSDEMO: trace buffer contents: 8192 bytes ETM static configuration: ETMCCR = 8D294004 ETMCCER = 000008EA ETMSCR = 00000000 ETMIDR = 411CF301 ETM dynamic configuration: ETMCR = 10001400 Cycle accurate: 1 Branch output: 0 Timestamp enabled: 1 CONTEXTID size: 0 bytes Trace enable event: true Trace enable control: CR1=00000001 CR2=00000000 Trace start comparators: 0000 Trace stop comparators: 0000 Trigger event: false Counters: 2 #0: value=00001000 enable=single-addr-comp-0 reload_value=00002000 reload_event=counter-zero-0 #1: value=00001000 enable=sequencer-state-2 reload_value=00002000 reload_event=counter-zero-1 Address comparators: 8 #0: address=C0008000 type=00000001 (execute) (size=1) (S:all) (NS:all) #1: address=C0058000 type=00000001 (execute) (size=1) (S:all) (NS:all) #2: address=6D7C9CB5 type=00000E01 (execute) (size=1) (S:none) (NS:none) #3: address=59425D80 type=00000C01 (execute) (size=1) (S:none) (NS:none) #4: address=FC1B425D type=00000401 (execute) (size=1) (S:none) (NS:all) #5: address=C085D159 type=00000B01 (execute) (size=1) (S:all) (NS:none) #6: address=CF79EACF type=00000801 (execute) (size=1) (S:all) (NS:none) #7: address=AB4DF605 type=00000B01 (execute) (size=1) (S:all) (NS:none) Data comparators: 0 Sequencer present: 1 Sequencer: Current state: 1 1 -> 2: single-addr-comp-0 1 -> 3: false 2 -> 1: false 2 -> 3: single-addr-comp-1 3 -> 1: false 3 -> 2: false CONTEXTID comparators: 1 Mask: FFFFFFFF #0: contextid: 00000000 External outputs: #0: false #1: false ETM static configuration: ETMCCR = 8D294004 ETMCCER = 000008EA ETMSCR = 00000000 ETMIDR = 411CF301 ETM dynamic configuration: ETMCR = 10001400 Cycle accurate: 1 Branch output: 0 Timestamp enabled: 1 CONTEXTID size: 0 bytes Trace enable event: true Trace enable control: CR1=00000001 CR2=00000000 Trace start comparators: 0000 Trace stop comparators: 0000 Trigger event: false Counters: 2 #0: value=00001000 enable=single-addr-comp-0 reload_value=00002000 reload_event=counter-zero-0 #1: value=00001000 enable=sequencer-state-2 reload_value=00002000 reload_event=counter-zero-1 Address comparators: 8 #0: address=C0008000 type=00000001 (execute) (size=1) (S:all) (NS:all) #1: address=C0058000 type=00000001 (execute) (size=1) (S:all) (NS:all) #2: address=B277380E type=00000D01 (execute) (size=1) (S:none) (NS:none) #3: address=E8FF4E39 type=00000D01 (execute) (size=1) (S:none) (NS:none) #4: address=989EAE80 type=00000801 (execute) (size=1) (S:all) (NS:none) #5: address=45FB31E5 type=00000F01 (execute) (size=1) (S:none) (NS:none) #6: address=E5F180E4 type=00000C01 (execute) (size=1) (S:none) (NS:none) #7: address=B6FD1362 type=00000301 (execute) (size=1) (S:all) (NS:all) Data comparators: 0 Sequencer present: 1 Sequencer: Current state: 1 1 -> 2: single-addr-comp-0 1 -> 3: false 2 -> 1: false 2 -> 3: single-addr-comp-1 3 -> 1: false 3 -> 2: false CONTEXTID comparators: 1 Mask: FFFFFFFF #0: contextid: 00000000 External outputs: #0: false #1: false CSDEMO: Fetching trace from core ETB: Buffer RAM size: 8192 Bytes to read in buffer: 8192 Buffer has wrapped: 1 ** 8192 bytes of trace The first 256 bytes of trace are: 80 01 AE D3 8E 01 4C 01 08 90 58 01 C0 29 CC 02 0C CA 00 9F FA 0C 48 01 08 E0 66 01 C0 29 EC 27 A0 01 E6 C1 0E 68 02 08 9C 68 00 C0 28 D0 04 E6 AA D8 14 40 00 08 00 17 02 C0 28 CC 02 CC 02 65 BE D8 14 60 00 08 A8 0C 00 C0 28 F4 02 AC F2 35 0C AE 88 08 94 89 02 C0 28 E8 02 AC A8 08 C4 38 88 03 C0 29 DC 0B D6 8C 02 50 00 A9 84 01 70 69 00 F0 23 01 A0 FD 00 7C 00 C6 00 FB 8E 02 78 3D 00 ED 18 6C 00 A4 EA 01 A0 E8 00 AC 08 74 18 25 00 C0 28 FC 08 A4 08 E0 66 01 C0 29 E0 AF 00 97 E6 C1 0E 54 00 08 78 18 00 C0 28 C8 0C B4 08 37 E8 00 00 C0 28 FC 5A C4 02 08 BC 97 00 C0 28 9E F0 06 E2 18 58 01 F8 01 E4 03 EE AB 0A 28 08 62 0C 01 00 C0 28 E8 06 91 9E D1 00 1C 08 DC 48 BE 04 C0 28 C8 BE 02 C4 05 08 FC 48 05 C0 29 DC 27 04 9C 98 0A 78 03 23 D3 D8 24 14 08 DC 49 04 8A CSDEMO: shutdown...
Depending on the configuration, tracedemo
creates a number of output files such as snapshot.ini
, cpu_0.ini
, cpu_1.ini
, device_2.ini
, device_3.ini
, trace.ini
, kernel_dump.bin
and cstrace.bin
. These files can be loaded into DS-5 Debugger to analyze the collected trace, as described in the next section.
Copy these files from the target into a suitable writable directory on your host, either using Remote System Explorer in DS-5 or scp
(or pscp
on Windows).
To create a standalone package of files for decoding by DS-5 Debugger, for example to give to someone else, collect the files above, together with vmlinux
, and the kernel source tree.
The files created by tracedemo
, after copying to the host, can be loaded into DS-5 Debugger to analyze the collected trace as follows:
In the Connection field below, enter the path to the top-level snapshot contents file snapshot.ini
. You can use the File... button to navigate to the file.
To load the ready-made example files, specify e.g.
.../DS-5 Workspace/CoreSight_access/example_captures/Snowball/snapshot.ini
.
To view the disassembly and trace augmented with symbols (e.g. function names), the vmlinux
file for the kernel must be given.
In the Files tab, select Load symbols from file, and use the File System... or Workspace... buttons to navigate to the vmlinux
file.
In cases where the kernel modifies itself, you can force DS-5 Debugger to use program code from kernel_dump.bin
rather than vmlinux
.
In the Debugger tab, tick Execute debugger commands, and add set trust-ro-sections-for-opcodes off
to its field
Ready-made example files captured from a session on a Snowball (ARMv7-A) target, an ARM TC2 (ARMv7-A) and a Juno (ARMv8-A) target are provided in the ./example_captures/Snowball
, ./example_captures/TC2
and ./example_captures/Juno
directories that can be used for test or demo purposes. Ready-made debug config launch files Generic-Snapshot-<platform>.launch
are also provided for each of the above ready made captures.
** csaccess: ERROR: can't open /dev/mem
, then try running tracedemo
as either root or sudo: sudo ./tracedemo
If you see:
Unable to connect to snapshot.ini Unable to configure connection to system specified in configuration file Couldn't find size of 'kernel_dump.bin' - perhaps the file is missing or unreadable
then kernel_dump.bin
is missing or unreadable. (Re-)create kernel_dump.bin
as described earlier.


2 Samuel 19:16
And Shimei the son of Gera, a Benjamite, which was of Bahurim, hasted and came down with the men of Judah to meet king David.


SNOPEA(1) | CSNOBOL4B 2.0 | January 1, 2015
NAME
snopea – convert SNOBOL snopea documentation to roff and HTML
SYNOPSIS
snopea [--format format] [--section section] [--page pagename] in out
DESCRIPTION
The snopea(1) command converts embedded documentation in
snopea(7) format to man(7) or HTML format.
OPTIONS
-
--format
-
Takes either roff or html as an argument
(otherwise the output format
will be inferred from the output file name).
-
--section
-
Takes a single digit section number (otherwise the section number
will be inferred from the output file name).
-
--page
-
Takes a page name as an argument
(otherwise the page name
will be inferred from the output file name).
NOT CONFORMING TO
Inspired by (but not compatible with) Perl POD format.
AUTHOR
Philip L. Budne
SEE ALSO
snobol4(1), snopea(7)


|
Awesome Portable Rendering Interface Library
This library provides a universal rendering API and does not require to write code that is used in only one API (e.g. OpenGL, DirectX, SDL, ...)
|
Defines an interface for implementation if a custom virtual keyboard is required. More...
#include <VirtualKeyboard.h>
Public Member Functions | |
| VirtualKeyboard () | |
| Basic constructor. | |
| virtual | ~VirtualKeyboard () |
| Destructor. | |
| HL_DEFINE_IS (visible, Visible) | |
| Visibility flag. | |
| HL_DEFINE_GET (float, heightRatio, HeightRatio) | |
| Height ratio of the screen. | |
| void | showKeyboard (bool forced) |
| Shows the virtual keyboard. | |
| void | hideKeyboard (bool forced) |
| Hides the virtual keyboard. | |
| void | drawKeyboard () |
| Renders the virtual keyboard. | |
Protected Member Functions | |
| virtual float | _showKeyboard (bool forced)=0 |
| Shows the VirtualKeyboard. More... | |
| virtual bool | _hideKeyboard (bool forced)=0 |
| Shows the VirtualKeyboard. More... | |
| virtual void | _drawKeyboard ()=0 |
| Draws the VirtualKeyboard. | |
Protected Attributes | |
| bool | visible |
| Visibility flag. | |
| float | heightRatio |
| Height ratio of the screen. | |
Defines an interface for implementation if a custom virtual keyboard is required.
|
protectedpure virtual |
Shows the VirtualKeyboard.
| [in] | forced | Whether to force display. |
|
protectedpure virtual |
Shows the VirtualKeyboard.
| [in] | forced | Whether to force display. |


We talk about JavaScript. Each month in Warsaw, Poland.
Let's go!
We know how to write in React!
Know how to write action creators and reducers
Have concepts for functional components, class components and containers
Facebook support
React Native is a framework!
Quickly prototype layouts in a tight loop with UI designers
Reuse JS business logic code for the native app
Iteration without a compile cycle
Know how to write action creators and reducers
Have concepts for functional components, class components and containers
React Native is a framework!
Chess Clock app was a great success!
but had no dependencies...
and was rewritten from a JavaScript app
Homework for ambicious listeners!
Deploy might not work out
Dynamic development of the technlology
Finding libraries, dependecies
Slower rebuids
Deploy needs 3rd person approvement
You need a stronger machine
<WebView
{...props}
javaScriptEnabled
injectedJavaScript={injectedJavaScript}
source={source ? source : html ? { html } : url}
ref={x => {this.WebView = x;}}
onMessage={e => onMessage(e)}
/>
const injectedJavaScript = `(${String(() => {
document.querySelectorAll('a[href][target="_blank"]').forEach( link => {
link.onclick = (e) => {
e.preventDefault();
window.postMessage(JSON.stringify({
href: link.href
}))};
})
})})();`;
In complex apps knowledge of native languages is indispensable
Wins versus Objective-C / Java, but today it fights against Swift / Kotlin
Refactoring was too hard and it was too late to use TypeScript
Libraries always support one platform in a better way
They had to use and maintain their own fork of RN
They ended up in maintaining 3 different versions of the app
You'd love to have the problems that rise from this technology limitations, because this means you have millions of users and are rich enough to rewrite your app!


Be TaskManager Documentation
Homepage
Be TaskManager Documentation
User's Guide
Installation
Command Line Options
The Tabs
The Deskbar Replicant
The New Team Dialog
Settings
Replicants
Programmer's Guide
Scripting Properties
Plugin Interface
Misc.
Credits
Version History
Top
© 2002 by
Thomas Krammer


--- layout: main-landing title: The CloudFx Community permalink: / cta: "landing_page" sitemap: changefreq: daily priority: 0.8 header_class: "landing" ---


stratified_plume_model.OuterPlume¶
-
class
stratified_plume_model.
OuterPlume
(z0, y0, profile, p, chem_names, bi)[source]¶ Manages the outer plume state space and derived variables
Manages storage and calculation of the derived variables for the outer plume as a function of the state space.
- Parameters
- z0float
Initial depth (m) of the outer plume
- y0ndarray
Initial values for the outer plume state space.
- profileambient.Profile object
The ambient CTD object used by the simulation.
- pModelParams object
Object containing the fixed model parameters for the stratified plume model.
- chem_namesstr list
List of chemical names to track for the dissolution.
- bifloat
Half-width of the inner plume (m)
- Attributes
- chem_namesstr list
List is dissolved chemical species to track
- lenint
Number of dependent state space variables
- nchemsint
Number of chemical species to track for the dissolution
- zfloat
Current value of the depth (m)
- yndarray
Current value of the state space vector
- Qfloat
Volume flux of outer plume fluid (m^3/s)
- Jfloat
Momentum flux of outer plume fluid (m^3/s)
- Sfloat
Salinity flux in the outer plume (psu m^3/s)
- Hfloat
Heat flux in the outer plume (J/s)
- Cndarray
- Mass flux of dissolved species in the outer plume (kg/s)
- Tafloat
Ambient temperature outside the plume (K)
- Safloat
Ambient salinity outside the plume (psu)
- Pfloat
Local pressure (Pa)
- rho_afloat
Ambient density outside the plume (kg/m^3)
- candarray
Ambient concentrations outside the plume (kg/m^3)
- ufloat
Velocity of the outer plume (m/s)
- bfloat
Half-width of the outer plume (m)
- sfloat
Salinity of the outer plume continuous phase fluid (psu)
- Tfloat
Temperature of the outer plume continous phase fluid (K)
- cndarray
Concentration of dissolved species in the outer plume fluid (kg/m^2)
- rhofloat
Density of the outer plume continuous phase fluid (kg/m^3)
Methods
update
(self, z, y, profile, p, bi)Update the OuterPlume object with the current local conditions
-
__init__
(self, z0, y0, profile, p, chem_names, bi)[source]¶ Initialize self. See help(type(self)) for accurate signature.
Methods
__init__
(self, z0, y0, profile, p, …)Initialize self.
update
(self, z, y, profile, p, bi)Update the OuterPlume object with the current local conditions


Vigil in Bolivia after supporters of ousted Morales are shot dead
Emotions were raw when relatives of the dead placed Bolivian flags on their coffins, placed on the road where the shooting took place.
Witnesses said police opened fire on protesters calling for ousted President Evo Morales to return from exile in Mexico.
They said it happened when protesters tried to cross a security checkpoint.
The murders marked a deadly turn for the crisis in Bolivia, triggered protests across the country over suspicion of electoral fraud in an election on October 20 in which Morales claimed to have won a fourth term.


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This small portion of Russia lying between Poland and Lithuania remained Russian to allow that country access to an ice-free port in the Baltic.
Passport Control and Customs at located at the ferry terminal, just inside the entrance, on the south side of the channel. Inward clearance is likely to take some hours even though all the necessary papers would have have to have been received at least 72 hours earlier (courtecy of Mr Vladimir Ivankiv see Russia/Clearance ). On departure, the proceedure is quicker.
The city is connected to the coast via a 22NM long sea canal from Baltiysk. A one-way system is in operation with east bound vessels leaving 0300-0400 and 1500-1600LT and west bound at 0800-1100 and 2000-2300LT.
When making for the Kaliningrad yacht harbour, allow 4 hours from the Passport Control office. Parts of the approach are very shallow, although the bottom is very soft mud.
There is a yacht harbour at Baltiysk, but it is not known if foreign yachts may use it.


nips nips2012 nips2012-60 nips2012-60-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Francois Caron, Yee W. Teh
Abstract: We develop a Bayesian nonparametric extension of the popular Plackett-Luce choice model that can handle an inﬁnite number of choice items. Our framework is based on the theory of random atomic measures, with the prior speciﬁed by a gamma process. We derive a posterior characterization and a simple and effective Gibbs sampler for posterior simulation. We develop a time-varying extension of our model, and apply it to the New York Times lists of weekly bestselling books. 1
[1] R.D. Luce. Individual choice behavior: A theoretical analysis. Wiley, 1959.
[2] R. Plackett. The analysis of permutations. Applied Statistics, 24:193–202, 1975.
[3] R.D. Luce. The choice axiom after twenty years. Journal of Mathematical Psychology, 15:215–233, 1977.
[4] D.R. Hunter. MM algorithms for generalized Bradley-Terry models. The Annals of Statistics, 32:384–406, 2004.
[5] I.C. Gormley and T.B. Murphy. Exploring voting blocs with the Irish electorate: a mixture modeling approach. Journal of the American Statistical Association, 103:1014–1027, 2008.
[6] P. Diaconis. Group representations in probability and statistics, IMS Lecture Notes, volume 11. Institute of Mathematical Statistics, 1988.
[7] I.C. Gormley and T.B. Murphy. A grade of membership model for rank data. Bayesian Analysis, 4:265–296, 2009.
[8] J. Guiver and E. Snelson. Bayesian inference for Plackett-Luce ranking models. In International Conference on Machine Learning, 2009.
[9] F. Caron and A. Doucet. Efﬁcient Bayesian inference for generalized Bradley-Terry models. Journal of Computational and Graphical Statistics, 21(1):174–196, 2012.
[10] G.P. Patil and C. Taillie. Diversity as a concept and its implications for random communities. Bulletin of the International Statistical Institute, 47:497–515, 1977.
[11] J. Pitman. Combinatorial stochastic processes. Ecole d’´ t´ de Probabilit´ s de Saint-Flour ee e XXXII - 2002, volume 1875 of Lecture Notes in Mathematics. Springer, 2006.
[12] J. F. C. Kingman. Completely random measures. Paciﬁc Journal of Mathematics, 21(1):59–78, 1967.
[13] M.K. Pitt and S.G. Walker. Constructing stationary time series models using auxiliary variables with applications. Journal of the American Statistical Association, 100(470):554–564, 2005.
[14] S. Watanabe. A limit theorem of branching processes and continuous state branching processes. Journal of Mathematics of Kyoto University, 8:141–167, 1968.
[15] D. A. Dawson. Stochastic evolution equations and related measure processes. Journal of Multivariate Analysis, 5:1–52, 1975.
[16] S.N. Ethier and RC Grifﬁths. The transition function of a measure-valued branching diffusion with immigration. Stochastic Processes. A Festschrift in Honour of Gopinath Kallianpur (S. Cambanis, J. Ghosh, RL Karandikar and PK Sen, eds.), 71:79, 1993.
[17] R.H. Mena and S.G. Walker. On a construction of Markov models in continuous time. MetronInternational Journal of Statistics, 67(3):303–323, 2009.
[18] S. Feng. Poisson-Dirichlet Distribution and Related Topics. Springer, 2010.
[19] J.C. Cox, J.E. Ingersoll Jr, and S.A. Ross. A theory of the term structure of interest rates. Econometrica: Journal of the Econometric Society, pages 385–407, 1985.
[20] S. N. Ethier and R. C. Grifﬁths. The transition function of a measure-valued branching diffusion with immigration. Stochastic Processes, 1993.
[21] L.F. James, A. Lijoi, and I. Pr¨ nster. Posterior analysis for normalized random measures with u independent increments. Scandinavian Journal of Statistics, 36(1):76–97, 2009.
[22] J.E. Grifﬁn and S.G. Walker. Posterior simulation of normalized random measure mixtures. Journal of Computational and Graphical Statistics, 20(1):241–259, 2011.
[23] S. Favaro and Y.W. Teh. MCMC for normalized random measure mixture models. Technical report, University of Turin, 2012.
[24] J. E. Grifﬁn. The Ornstein-Uhlenbeck Dirichlet process and other time-varying processes for Bayesian nonparametric inference. Journal of Statistical Planning and Inference, 141:3648– 3664, 2011. 9


Belief propagation methods in genotype-phenotype networks (Conditional Gaussian and Discrete Bayesian Networks) to propagate phenotypic evidence through the network.
| Version: | 2.0.1 |
| Depends: | R (≥ 3.1.0), Rgraphviz (≥ 2.8.1), graph (≥ 1.42.0), bnlearn (≥ 3.7.1), gRain (≥ 1.2-3) |
| Imports: | igraph, scales, ggm |
| Suggests: | RHugin |
| Published: | 2016-08-04 |
| Author: | Janhavi Moharil |
| Maintainer: | Janhavi Moharil <janhavim at buffalo.edu> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | geneNetBP results |
| Reference manual: | geneNetBP.pdf |
| Vignettes: |
An R Package for belief propagation in genotype-phenotype networks |
| Package source: | geneNetBP_2.0.1.tar.gz |
| Windows binaries: | r-devel: geneNetBP_2.0.1.zip, r-release: geneNetBP_2.0.1.zip, r-oldrel: geneNetBP_2.0.1.zip |
| OS X binaries: | r-release: geneNetBP_2.0.1.tgz, r-oldrel: geneNetBP_2.0.1.tgz |
| Old sources: | geneNetBP archive |
Please use the canonical form https://CRAN.R-project.org/package=geneNetBP to link to this page.


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Options
Options
Tab Limit
When archiving more tabs, if you are over this limit then GrayTabby will delete the oldest tab groups until you are under this limit.
Keep Duplicates
When archiving tabs, if multiple tabs have the same URL then GrayTabby will keep only one entry for each.
Welcome to GrayTabby!


Classy demo
HTML Code (yes, no JS !)
Full Name * :
Email * :
Website :
Message (20 chars min, 200 max) :
Val
Please, note that this demo form is not a perfect example of UX-awareness. The aim here is to show a quick overview of parsley-API and Parsley customizable behavior.


Grab Pagmultahin ng ₱15B Sa Overcharging
KINALAMPAG ni Party-list Rep. Jericho Nograles ang Land Transportation Franchising and Regulatory Board (LTFRB) na singilin ng P15 bilyon ang Grab Philippines dahil sa overcharging nito sa 3 milyong pasahero.
Sinabi ni Nograles na ang deklarasyon ng Grab na susundin nila ang utos ng Philippine Competition Commission (PCC) hinggil sa pinataw na P23.45 milyong multa sa kanila ay maituturing na “direct admission that it has been charging excessive fares from 3-million riders from February to May of 2019.”
“This should translate to a total of P15 billion in fines because under the Joint Administrative Order 2014-01 of the Department of Transportation (DOTR), each offense committed merits a fine of P5,000,” saad ni Nograles
“Grab made a direct admission of 3 million offenses and under the JAO 2014-01, each offense merits a fine of P5,000. Therefore, Grab should be liable for P15-billion worth of fines,” paliwanag pa niya.
Kung hindi papatawan ng P15 bilyong multa ang Grab, sinabi ng mambabatas na lalabas na pinapaboran ng LTFRB ang transport network company at maituturing itong graft.
Related Posts
“The jeepney driver, tricycle, taxi they pay the P5,000 fine but Grab won’t?” katuwiran ni Nograles.
Sa laki ng makokolektang multa sa Grab, sinabi ni Nograles na maaari nang mabayaran ang inutang na panggastos sa pagho-host ng Pilipinas sa 30th Southeast Asian Games.
Giit pa ng party-list solon, dapat siguruhin ng LTFRB na kakarguhin ng Grab ang multa at hindi ipapasa lang sa kanilang mga driver at rider.
“The fines and penalties meted to Grab is due to their unilateral imposition of unauthorized fares on the rider. There should also be regulation on Grab’s capability of unilaterally dismissing, controlling, and collecting charges from drivers,” giit ni Nograles. (JC Cahinhinan)


More about Motors¶
The Control Class¶
The Motor
class uses PID control to accurately track your commanded target
angles. Similarly, the DriveBase
class uses two of such controllers:
one to control the heading and one to control the traveled distance.
You can change the control settings through the following attributes, which are
instances of the Control
class given below.:
Motor.control
DriveBase.heading_control
DriveBase.distance_control
You can only change the settings while the controller is stopped. For example,
you can set the settings at the beginning of your program. Alternatively, first
call stop()
to make your Motor
or DriveBase
stop, and then change
the settings.
-
class
Control
¶ Class to interact with PID controller and settings.
-
scale
¶ Scaling factor between the controlled integer variable and the physical output. For example, for a single motor this is the number of encoder pulses per degree of rotation.
Status
-
done
()¶ Checks if an ongoing command or maneuver is done.
Returns: True
if the command is done,False
if not.Return type: bool
-
stalled
()¶ Checks if the controller is currently stalled.
A controller is stalled when it cannot reach the target speed or position, even with the maximum actuation signal.
Returns: True
if the controller is stalled,False
if not.Return type: bool
Settings
-
limits
(speed, acceleration, actuation)¶ Configures the maximum speed, acceleration, and actuation.
If no arguments are given, this will return the current values.
Parameters: - speed (rotational speed: deg/s or speed: mm/s) – Maximum speed. All speed commands will be capped to this value.
- acceleration (rotational acceleration: deg/s/s or linear acceleration: mm/s/s) – Maximum acceleration.
- actuation (percentage: %) – Maximum actuation as percentage of absolute maximum.
-
pid
(kp, ki, kd, integral_range, integral_rate, feed_forward)¶ Gets or sets the PID values for position and speed control.
If no arguments are given, this will return the current values.
Parameters: - kp (int) – Proportional position (or integral speed) control constant.
- ki (int) – Integral position control constant.
- kd (int) – Derivative position (or proportional speed) control constant.
- integral_range (angle: deg or distance: mm) – Region around the target angle or distance, in which integral control errors are accumulated.
- integral_rate (rotational speed: deg/s or speed: mm/s) – Maximum rate at which the error integral is allowed to grow.
- feed_forward (percentage: %) – This adds a feed forward signal to the PID feedback signal, in the direction of the speed reference. This value is expressed as a percentage of the absolute maximum duty cycle.
-
target_tolerances
(speed, position)¶ Gets or sets the tolerances that say when a maneuver is done.
If no arguments are given, this will return the current values.
Parameters: - speed (rotational speed: deg/s or speed: mm/s) – Allowed deviation from zero speed before motion is considered complete.
- position (angle: deg or distance: mm) – Allowed deviation from the target before motion is considered complete.
-
stall_tolerances
(speed, time)¶ Gets or sets stalling tolerances.
If no arguments are given, this will return the current values.
Parameters: - speed (rotational speed: deg/s or speed: mm/s) – If the controller
cannot reach this speed for some
time
even with maximum actuation, it is stalled. - time (time: ms) – How long the controller has to be below this
minimum
speed
before we say it is stalled.
- speed (rotational speed: deg/s or speed: mm/s) – If the controller
cannot reach this speed for some
-


--- layout: main ---
We at Developer Student Club NUS are launching our very first Data Analytics Workshop Series, kicking off with an Intro to Data Analytics with Python Workshop!
Through this series, we aim to equip anyone with zero analytics or programming knowledge with the skills required to tackle the essential components of any data analytics project.
Python is our language of choice for Data Analytics. In our
first introductory workshop, we'll be getting everyone up to
speed with the fundamentals of programming in Python, as well
as to set up a proper data science environment on your
machine. From there, you'll have your bases covered to explore
the rest of the data science ecosystem.
Topics covered: Programming in Python, setting up Anaconda and Jupyter, Utilizing third-party libraries
Before any data analytics project, data needs to be collected.
Data collection can be challenging when we are interested in
different data sources. In this 2nd of 5-workshop series on
Data Analytics, DSC NUS covers the Python Reddit API Wrapper
(PRAW) for text collection. We learn to collect, save and load
data for analysis in the next workshop.
Topics covered: Reading and writing data, web scraping with BeautifulSoup and Requests, web APIs for data collection (e.g. Reddit, Twitter)
In this 3rd of 5-workshop series on Data Analytics, we learn
how to manipulate our data using Pandas, a powerful data
analysis library in Python, and learn to visualise our data in
Matplotlib, a plotting library in Python that generates
various plots for analysis. Thereafter, using our data, we
learn how to do Feature Engineering - that is, preparing our
data, in ways that are suitable and optimal for our Machine
Learning algorithms that will be covered in the next workshop.
Topics covered: Matplotlib, more on Pandas dataframe, data Pre-processing
After you have done a large amount of work manipulating,
analysing and cleaning your data, it is time for your data to
do the work for you.
But creating your model is only the first step, how do you
know whether your model worked? That is where evaluating and
validation comes into play. Join us to learn more about
validation and see your model improve as it gets “trained”.


| CS 391 - Selected Topics: Game Artificial Intelligence
Readings |
| Class | Month | Day | Topic | Readings (parenthesized reading are optional) |
| 1 | January | 19 | Course introduction, game definitions, combinatorial games, games of chance, strategic games, introduction to FreeCell | Course Information page, Wikipedia definitions of "game", Overview of Three Game Types |
| 2 | 21 | Solitaire games and classic AI search/planning, state, initial state, actions, state space, goal states, uninformed search algorithms (breadth-first search, depth-first search, depth-limited search, iterative-deepening depth-first search) | Russell & Norvig 3.1-3.4 | |
| 3 | 26 | (completion of uninformed search coverage) | ||
| 4 | 28 | FreeCell features discussion | ||
| 5 | February | 2 | Informed search and repeated state detection algorithms | |
| 6 | 4 | (in-class FreeCell solver design) | G. Heineman. Algorithm to Solve FreeCell Solitaire Games, (Elyasaf, Hauptman, and Sipper. Evolutionary Design of FreeCell Solvers) | |
| 7 | 9 | Minimax/Negamax, design discussion | Russell & Norvig 5.1-5.2, Wikipedia article on Minimax (Combinatorial Games section), Bruce Rosen's Minimax algorithm example, animation of Minimax algorithm | |
| 8 | 11 | Alpha-beta pruning, move ordering | Russell & Norvig 5.3, Bruce Rosen's worked example, Pieter Abbeel's YouTube demonstration, Move Ordering (skim top) | |
| 9 | 16 | (away at conference; in-class group project work) | ||
| 10 | 18 | Expectimax, introduction to Yahtzee, Upper Section Yahtzee, retrograde analysis | J. Glenn. An Optimal Strategy for Yahtzee | |
| 11 | 23 | Enumerating sorted rolls with the choose function, representation conversions (roll, rank counts, roll id) | Choose Function (Binomial Coefficient: Recursive Formula, Wikipedia) | |
| 12 | 25 | Yahtzee widgets, continued in-class implementation | ||
| 13 | March | 1 | Yahtzee reroll enumeration, transition probabaility computation | |
| 14 | 3 | Retrograde analysis revisited: within-widget computation | ||
| 15 | 15 | Game of Pig, optimal scoring play versus optimal winning play, value iteration | T. Neller, C. Presser. Optimal Play of the Dice Game Pig; see also Solving the Dice Game Pig (project PDF) | |
| 16 | 17 | Reinforcement learning, Markov decision processes, Bellman's optimality equations | Sutton, Barto. Reinforcement Learning: an introduction (chapter 3; Bellman equations in section 3.8) | |
| 17 | 22 | Piglet Solitaire exercise | ||
| 18 | 24 | Approach n game, n-armed bandit problem, exploration-exploitation tradeoff, epsilon-greedy selection, softmax selection | Sutton, Barto. Reinforcement Learning: an introduction (sections 2.1-2.3) | |
| 19 | 29 | UCB1 selection implementation, comparison of selection algorithms | Auer, Cesa-Bianchi, and Fischer. Finite-time Analysis of the Multiarmed Bandit Problem (introduction and Fig. 1) | |
| 20 | 31 | Imperfect information games, introduction to final project: Gin Rummy | ||
| 21 | April | 5 | Monte Carlo off/on-policy control (exploring starts/epsilon-soft), Monte Carlo Tree Search (MCTS), UCT | Sutton, Barto. Reinforcement Learning: an introduction (sections 5.3 and 5.4); C. Browne et al., A Survey of Monte Carlo Tree Search Methods, section 1 through 1.1, section 3. |
| 22 | 7 | Game Theory Basics, Nash Equilibrium, Pure and Mixed Strategies | GameTheory101.com "The Basics" videos #1-#7 | |
| 23 | 12 | Mixed Strategy Payoffs, Strong/Weak Dominance, Number of Equilibria | GameTheory101.com "The Basics" videos #8-#14 | |
| 24 | 14 | Correlated Equilibria | Wikipedia Correlated Equilibrium introduction and example, (optional: Kevin Leyton-Brown slides 26-34 on Correlated Equilibrium, GNU Linear Programming Kit Reference Manual appendices C (CPLEX LP Format) and D (glpsol usage)) | |
| 25 | 19 | Regret, Regret Matching, Extensive Form Games | An Introduction to Counterfactual Regret Minimization, Sections 1 - 2.3, Wikipedia extensive-form game article, (optional: Hart and Mas-Colell. A Simple Adaptive Procedure Leading to Correlated Equilibrium, paper sections 1-2, slides 21-70) | |
| 26 | 21 | Counterfactual Regret Minimization | An Introduction to Counterfactual Regret Minimization, Sections 3 - 3.3, slides, Wikipedia Kuhn Poker article | |
| 27 | 26 | In-class Course Evaluations, Neural Networks | slides | |
| 28 | 28 | Gin Rummy Player Presentations, Neural Networks |


Here's some page content, which will be included in vm.$slots.default, because it's not inside a named slot.
Copyright 2016 Evan You
If I have some content down here, it will also be included in vm.$slots.default.


Upload a new HMO document
Upload new documents to this repository
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Index
Install
- Install LazyRecord.
Setup
- Setup LazyRecord for your own applications.
Schema
- Schema usage.
Model
- Model usage.
Collection
- Collection usage.
Development
- Setup Development environment.
Connections
- Connection manager.


Getting Started - Nodejs
Overview
This section shows how to build and deploy an simple greeter nodejs application as Knative service
Create Service
Create app directory
mkdir -p $PROJECT_HOME/build/getstarted/nodejs
cd $PROJECT_HOME/build/getstarted/nodejs
Create package.json
{
"name": "helloworld-nodejs",
"version": "0.0.0",
"private": true,
"scripts": {
"start": "node app.js"
},
"dependencies": {
"express": "~4.16.0",
"gradient-string": "^1.2.0"
}
}
Create Application
var express = require("express");
const gradient = require("gradient-string");
var app = express();
var msg = process.env.MESSAGE || "Knative on OpenShift";
app.get("/", function(req, res, next) {
res.send(gradient.pastel("NodeJS::" + msg));
});
app.listen(8080, function() {
console.log("App started in port 8080");
});
Build Service
From $PROJECT_HOME/build/getstarted/nodejs:
Local
The code below shows how to do it with yarn
:
yarn install
yarn start (1)
| 1 | This will start the application locally and accessible via http://localhost:8080/ |
Deploy Service
To deploy the Knative service we need to create file called service.yaml
in $PROJECT_HOME/build/getstarted/nodejs
with the following content:
Invoke Service
The applications can be invoked only using knative-ingress-gateway
which was deployed with Knative serving deployment.
The following snippet shows how to invoke the greeter nodejs service that was deployed earlier:
export IP_ADDRESS=$(kubectl get node -o 'jsonpath={.items[0].status.addresses[0].address}')
export SERVICE_NODEPORT=$(oc get svc knative-ingressgateway -n istio-system -o 'jsonpath={.spec.ports[?(@.port==80)].nodePort}')
export HOST_URL=$(kubectl get routes.serving.knative.dev greeter -o jsonpath='{.status.domain}')
curl -H "Host: ${HOST_URL}" ${IP_ADDRESS}:${SERVICE_NODEPORT}
The curl command above should return a response like NodeJs::Knative on OpenShift


VESA
Section: Devices and Network Interfaces (4)Updated: xf86-video-vesa 2.3.0
Index Return to Main Contents
NAME
vesa - Generic VESA video driverSYNOPSIS
Section N'34'DeviceN'34' Identifier N'34'devnameN'34' Driver N'34'vesaN'34' ... EndSection
DESCRIPTION
vesa is an Xorg driver for generic VESA video cards. It can drive most VESA-compatible video cards, but only makes use of the basic standard VESA core that is common to these cards. The driver supports depths 8, 15 16 and 24.SUPPORTED HARDWARE
The vesa driver supports most VESA-compatible video cards. There are some known exceptions, and those should be listed here.CONFIGURATION DETAILS
Please refer to xorg.conf(5) for general configuration details. This section only covers configuration details specific to this driver.The driver auto-detects the presence of VESA-compatible hardware. The ChipSet name may optionally be specified in the config file N'34'DeviceN'34' section, and will override the auto-detection:
- "vesa"
The following driver Options are supported:
- Option N'34'ShadowFBN'34' N'34'booleanN'34'
-
Enable or disable use of the shadow framebuffer layer. Default: on.
This option is recommended for performance reasons.
- Option N'34'ModeSetClearScreenN'34' N'34'booleanN'34'
-
Clear the screen on mode set. Some BIOSes seem to be broken in the
sense that the newly set video mode is bogus if they are asked to
clear the screen during mode setting. If you experience problems try
to turn this option off. Default: on.
SEE ALSO
Xorg(1), xorg.conf(5), Xserver(1), X(7)AUTHORS
Authors include: Paulo Ce'sar Pereira de Andrade.
Index
This document was created by man2html, using the manual pages.
Time: 05:33:53 GMT, December 24, 2015


Genes and Diseases
Find a disease
Write something
Diseases
This is where matching diseases will appear.
Selected diseases
Find genes
The application gets the selected diseases and queries the database
Get genes


SharedComputerLicensing
Forces the applications that block the action to be shut down.
Optional.
Set SharedComputerLicensing to 1 if you deploy Office 365 ProPlus to shared computers by using Remote Desktop Services. For more information, see Overview of shared computer activation for Office 365 ProPlus.


Today, Bio Santafe Lifecare Pvt Ltd employ more than 4,000 people across all our business segments—Consumer and Pharmaceuticals. Whether recent graduates or experienced professionals, employees have opportunities to develop as leaders, enjoy flexible career moves, and work on international teams in a wide variety of functional and operational roles. They drive their careers forward through a shared vision for caring for the people and communities they serve throughout the world.
We invite you to learn more about Bio Santafe Lifecare Pvt Ltd company and explore available opportunities to join our vital teams.


If you see port 1099, that’s Java RMI. RMI by definition just uses serialized objects for all communication. This is trivially vulnerable.
The entire concept of Java RMI is built on object deserialization, if you can see the TCP ports associate with an RMI service open, and that service has the commons library available, you can pop it.


A barplot (or barchart) is one of the most common types of graphic. It shows the relationship between a numeric and a categoric variable. Each entity of the categoric variable is represented as a bar. The size of the bar represents its numeric value.
Here is an example showing the quantity of weapons exported by the top 20 largest exporters in 2017 (more info here):
# Libraries
library(tidyverse)
library(hrbrthemes)
library(kableExtra)
options(knitr.table.format = "html")
# Load dataset from github
data <- read.table("https://raw.githubusercontent.com/holtzy/data_to_viz/master/Example_dataset/7_OneCatOneNum.csv", header=TRUE, sep=",")
# Barplot
data %>%
filter(!is.na(Value)) %>%
arrange(Value) %>%
tail(20) %>%
mutate(Country=factor(Country, Country)) %>%
ggplot( aes(x=Country, y=Value) ) +
geom_bar(stat="identity", fill="#69b3a2") +
coord_flip() +
theme_ipsum() +
theme(
panel.grid.minor.y = element_blank(),
panel.grid.major.y = element_blank(),
legend.position="none"
) +
xlab("") +
ylab("Weapon quantity (SIPRI trend-indicator value)")
A barplot shows the relationship between a numeric and a categoric variable. In the previous graphic, each country is a level of the categoric variable, and the quantity of weapon sold is the numeric variable. An ordered
barplot is a very good choice here since it displays both the ranking of countries and their specific value.
A barplot can also display values for several levels of grouping
. In the following graphic, the number of given baby name is provided by name (level1) and per year (level2). With this kind of information it is possible to build a grouped barplot
:
# Libraries
library(tidyverse)
library(hrbrthemes)
library(babynames)
library(viridis)
# Load dataset from github
data <- babynames %>%
filter(name %in% c("Ashley", "Amanda", "Jessica", "Patricia", "Linda", "Deborah", "Dorothy", "Betty", "Helen")) %>%
filter(sex=="F")
# A grouped barplot
data %>%
filter(name %in% c("Ashley", "Patricia", "Betty", "Helen")) %>%
filter(year %in% c(1920, 1960, 2000)) %>%
mutate(year=as.factor(year)) %>%
ggplot( aes(x=year, y=n, fill=name)) +
geom_bar(stat="identity", position="dodge") +
scale_fill_viridis(discrete=TRUE, name="") +
theme_ipsum() +
ylab("Number of baby")
Instead of puting the bars one beside each other it is possible to stack them, resulting in a stacked barplot:
# A grouped barplot
data %>%
filter(name %in% c("Ashley", "Patricia", "Betty", "Helen")) %>%
filter(year %in% c(1920, 1960, 2000)) %>%
mutate(year=as.factor(year)) %>%
ggplot( aes(x=year, y=n, fill=name)) +
geom_bar(stat="identity", width = 0.5) +
scale_fill_viridis(discrete=TRUE, name="") +
theme_ipsum() +
ylab("Number of baby")
Barplot is sometimes described as a boring way to visualize information, despite its incredible efficiency. There are a few variations that allows to create more eye-catching figures without loosing any of the barplot accuracy. My favorite variation is the lollipop plot that replaces the bars with a segment and a dot. It results in a less cluttered figure that is often more attractive:
# Load dataset from github
data <- read.table("https://raw.githubusercontent.com/holtzy/data_to_viz/master/Example_dataset/7_OneCatOneNum.csv", header=TRUE, sep=",")
# Plot
data %>%
filter(!is.na(Value)) %>%
arrange(Value) %>%
mutate(Country=factor(Country, Country)) %>%
ggplot( aes(x=Country, y=Value) ) +
geom_segment( aes(x=Country ,xend=Country, y=0, yend=Value), color="grey") +
geom_point(size=3, color="#69b3a2") +
coord_flip() +
theme_ipsum() +
theme(
panel.grid.minor.y = element_blank(),
panel.grid.major.y = element_blank(),
legend.position="none"
) +
xlab("")
Circular barplot can also be considered if you have many groups. The group comparison is less accurate, thus this option must be selected if there is an obvious pattern to show in the data.
# Load dataset from github
data <- read.table("https://raw.githubusercontent.com/holtzy/data_to_viz/master/Example_dataset/7_OneCatOneNum.csv", header=TRUE, sep=",")
# Order data
tmp <- data %>%
filter(!is.na(Value)) %>%
arrange(desc(Value)) %>%
mutate(Country=factor(Country, Country))
# Set a number of 'empty bar'
empty_bar=10
# Add lines to the initial tmpset
to_add = matrix(NA, empty_bar, ncol(tmp))
colnames(to_add) = colnames(tmp)
tmp=rbind(tmp, to_add)
tmp$id=seq(1, nrow(tmp))
# Get the name and the y position of each label
label_tmp=tmp
number_of_bar=nrow(label_tmp)
angle= 90 - 360 * (label_tmp$id-0.5) /number_of_bar # I substract 0.5 because the letter must have the angle of the center of the bars. Not extreme right(1) or extreme left (0)
label_tmp$hjust<-ifelse( angle < -90, 1, 0)
label_tmp$angle<-ifelse(angle < -90, angle+180, angle)
label_tmp$Country <- gsub("United States", "US", label_tmp$Country)
label_tmp$Country <- paste(label_tmp$Country, " (", label_tmp$Value,")", sep="")
# Make the plot
ggplot(tmp, aes(x=as.factor(id), y=Value)) + # Note that id is a factor. If x is numeric, there is some space between the first bar
geom_bar(stat="identity", fill=alpha("#69b3a2", 0.8)) +
ylim(-7000,13000) +
theme_minimal() +
theme(
axis.text = element_blank(),
axis.title = element_blank(),
panel.grid = element_blank(),
plot.margin = unit(rep(-1,4), "cm")
) +
coord_polar(start = 0) +
geom_text(data=label_tmp, aes(x=id, y=Value+200, label=Country ), color="black", fontface="bold",alpha=0.6, size=2.5, angle= label_tmp$angle, hjust=label_tmp$hjust, inherit.aes = FALSE ) +
geom_text( aes(x=24, y=8000, label="Who sells more weapons?"), color="black", inherit.aes = FALSE)
Do not confound barchart with histogram. A histogram has only a numeric variable as input and shows its distribution.
Order your bars. If the levels of your categoric variable have no obvious order, order the bars following their values.
Several values per group? Don’t use a barplot. Even with error bars, it hides information and other type of graphic like boxplot or violin are much more appropriate.
The R and Python graph galleries are 2 websites providing hundreds of chart example, always providing the reproducible code. Click the button below to see how to build the chart you need with your favorite programing language.
R graph gallery Python gallery
Any thoughts on this? Found any mistake? Disagree? Please drop me a word on twitter or in the comment section below:
A work by Yan Holtz for data-to-viz.com


{% import "macros/breadcrumbs.html" as breadcrumbs %} {% extends "layouts/saas.html" %} {% block aside %}{% include "partials/_aside.html" %}{% endblock aside %} {% block header %}{% include "partials/_header.html" %}{% endblock header %} {% block breadcrumbs %}{{ breadcrumbs.fit(title="Upload") }}{% endblock breadcrumbs %} {% block content %}


Starting a project: a on-line store
Let's start by downloading the vraptor-blank-project from
http://vraptor.caelum.com.br/download.html. This blank-project has the required configuration on
web.xml
and the dependencies on WEB-INF/lib
that are needed to start using VRaptor. You
can also import this project on Eclipse.
We need to change the base package using this config at web.xml
:
<context-param>
<param-name>br.com.caelum.vraptor.packages</param-name>
<param-value>com.companyname.projectname</param-value>
</context-param>
On the example, all classes from your application must be in a subpackage of
com.companyname.projectname
, so VRaptor can find your components and manage your dependencies.
In this example project the base package will be:
<context-param>
<param-name>br.com.caelum.vraptor.packages</param-name>
<param-value>br.com.caelum.onlinestore</param-value>
</context-param>
Assuming that the context root of the application was changed to /onlinestore
, if you run
this example you should be able to access http://localhost:8080/onlinestore%% and see
an It works! on screen.


REST client for CRUD
Create user
Read users
All users
ID
Role
Login
Password
Email
Edit
×
ID
Email
Login
Password
Role


Low drainage potential. Even if saturated, the soil has a high rate of infiltration. Deep, well-drained soil of moderate texture (sand, deep river bed). The loss rate for the soil group is between 7,5 and 11,5 mm / h.


Button Groups
Basic Example
Left
Middle
Right
Left
Middle
Right
Left
Middle
Right
Button toolbars
Rounded & air style
Left
Middle
Right
Left
Middle
Right
Left
Middle
Right
Button Groups
Vertical variation
Button
Button
More
Sizing
Instead of applying button sizing classes to every button in a group, just add .btn-group-*
to each .btn-group
, including each one when nesting multiple groups.
Left
Middle
Right
Left
Middle
Right
Left
Middle
Right


Full Stack Web Developer with a background in Global business management and life-long dedication to learning. Effective at combining creativity and problem solving to develop user-friendly applications.
Aaron has developed proficiency and expertise in the following programming languages and comfort with the following tools.


--- layout: compress --- {% include head.html %}
I am a forward-thinking individual with a passion to learn new technologies
I strongly believe in helping others and that working together would allow us to get more work done.
I am a huge people-person and enjoy talking about the latest technologies trends.
I have previously worked at 3 different companies and am currently interested
in Software engineering, Artificial intelligence and Blockchain. I am also
an avid participant in hackathons.
I am currently working on my own startup during my free time to further improve my skills.
Transformed the loading of enormous CAD models into Unity using a threaded workflow, boosting performance by 40%. Hosted a WAMP server to dynamically download large models and patches to streamline workflow for customers.
Coordinated a team to design and develop a 3D building management. Built a middleware to pull information from hundreds of sensors and a front-end UI to display the information. Supervised and improved the application performance on lower end devices by 30%.
Integrated social media tools and hosted the app on Facebook using Parse. Experienced in the complete Software Development Life Cycle in an Agile environment with Scrum teams.
Currently, I am a student in National University of Singapore, pursing a Bachelor of Computing (Honours) in Computer Science. I also participated in several school activities where I was the captain of the computing contract bridge team for the Inter-faculty games and the head of logistics for an orientation camp for about 400 students. I handled transports and equipments to their respective location.
Some core modules taken are
During polytechnic, I learnt languages like C++ and C#, and tools like
Unity and OpenGL. I had given the opportunity to go overseas on ah exchange to
Finland, under Kajaani University of Applied Sciences, where I worked
for a company for 2.5 months and studied another 2.5 months.
Car Park Finder is the application for all car owners seeking a hassle-free way to find HDB car parks. It has a GUI (Graphic User Interface) but most of the user interactions happen using the CLI (Command Line Interface). Built for my module, CS2103T Software Engineering.
View ProjectA startup where we monitor a user video behavior to provide feedback to professors on their webcast. Our server is built on Golang for performance and speed. As it is currently in development, it is hosted on a private repository.
A virtual reality game built in Unreal Engine 4, to see how far we can push the graphics rendering. This was done in the summer during our holidays, where we learnt about shaders, graphics rendering techinques and games development.


All critical hits and misses still follow the original 5e rules of rolling another set of the attacks damage dice. This includes rolling extra dice for abilities that are a part of the attack such as damage from sneak attack, hex, or the initial strike of green flame blade.
These tables simply contain a list of additional effects that take place on top of the existing critical roll rules.There are individual tables below for both weapon attacks and spell attacks because let's be honest, there is a difference between missing with a bow and missing with a scorching ray.


UIScript is a lightweight frontend UI framework.
UIScript is highly customizable with cool simple javascript features. It has a few selection of great looking components and has the basics utilities for styling.


device.platform
namespace platform
The device platform type
Summary
Properties from platform
| boolean |
|
| boolean |
|
| boolean |
|
| boolean |
|
| boolean |
|
| boolean |
|
| boolean |
|
| boolean |
|
| boolean |
|
| boolean |
|
| boolean |
|
| string |
|
| boolean |
|
Public Properties
static android2: boolean
boolean
true
if the device is an Android 2.x platform
static BlackBerry: boolean
boolean
true
if the device is a BlackBerry platform


- Call us +49 123 456 789
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Selecting Constructor
By Number of Parameters
Selecting constructor by number of parameters is the simplest form of selection. You could use this selection method if the constructor you invoking has unique number of parameters.
Type of Parameter as Contract Type
This method is useful when you are working on a Type that takes certain number of parameters but you don't care what these parameter types are.
Parameters
In a case like this you could use Resolve.Parameter()
to specify that you want a parameter at this position to be resolved. For example, consider the following Type:
public class SampleType
{
public SampleType(object arg) => Ctor = 1;
public SampleType(IService service, object arg) => Ctor = 2;
public SampleType(IService service, object arg, Type type) => Ctor = 3;
public int Ctor { get; } // Constructor called
}
It has several constructors with different number of parameters each. Normally, the container would try to run the most complex constructor, but if you want to invoke the one with just a single parameter you need to register it like this:
Container.RegisterType<SampleType>( Invoke.Constructor( Resolve.Parameter() ));
In this registration you configure the container to invoke a constructor that takes just one parameter. The parameter is resolved using a contract with a type of the parameter and no name.
Now if you resolve the type, the container will invoke that constructor and inject the parameter:
var instance = Container.Resolve<SampleType>();
// 1 == instance.Ctor
Generic Parameters
The same method as above, could be used to invoke constructors with generic parameters. Consider the following class:
public class SampleType<T>
{
public SampleType(T arg)
{
Ctor = 1;
Value = arg;
}
public SampleType([Dependency("one")]IService service, T arg)
{
Ctor = 2;
Service = service;
Value = arg;
}
public SampleType(IService service, T arg, object obj)
{
Ctor = 3;
Service = service;
Value = arg;
}
public int Ctor { get; } // Called Constructor
public IService Service { get; }// Service passed in
public T Value { get; } // Generic argument value
}
To configure the container to invoke the first constructor you would execute the same code with exception of how you pass in a type of the contract. Registration of an open generic requires a conventional method call:
Container.RegisterType(typeof(SampleType<>), Invoke.Constructor( Resolve.Parameter() ));
When resolved, the container will invoke the first constructor and inject it with created instance of Object
:
var instance = Container.Resolve<SampleType<object>>();
// 1 == instance.Ctor
Parameter dependencies with Contract Name
When configuring constructors with the method described above you should be mindful of parameter annotations and contract names these annotations might provide.
When implicitly injecting a parameter, the container will recognize all metadata the parameter is annotated with and will properly inject it with correct contract. When you add an InjectionMember to configure the parameter you override all these annotations.
If you look at the second constructor of SampleType<T>
you will notice that the first parameter is marked with Dependency attribute. Normally, when resolving that parameter, Unity will, if present, use Name of the Contract the attribute provides. But when you register it as in the following example, you will override that contract:
Container.RegisterType<IService, Service>()
.RegisterType<IService, ServiceOne>("one")
.RegisterType<IService, ServiceTwo>("two");
Container.RegisterType(typeof(SampleType<>),
Invoke.Constructor(
Resolve.Parameter(),
Resolve.Parameter()));
var instance = Container.Resolve<SampleType<object>>();
// 2 == instance.Ctor
// typeof(Service) == instance.Service.GetType()
When resolved, Unity will execute the constructor but instead of dependency with contract name one
it will use contract with no name.
If you need to, you could override contract name explicitly as in the following example:
Container.RegisterType(typeof(SampleType<>),
Invoke.Constructor(
Resolve.Parameter("two"),
Resolve.Parameter()));
var instance = Container.Resolve<SampleType<object>>();
// 2 == instance.Ctor
// typeof(ServiceTwo) == instance.Service.GetType()
If you'd like to preserve contracts from annotations, you need to use one of the following selection methods instead.


CHUNGKING EXPRESS Grade: A (Folks, they don't get much better than this)
Directed by Wong Kar-Wei (Happy Together, Ashes Of Time) Written by Wong Kar-Wei Starring: Tony Leung (Hard-Boiled), Brigitte Lin (Peking Opera Blues) Year of Release: 1994
Rating: NR (probable Pg-13)
Capsule Review: One of the dangers of being a hard-core movie freak, besides a diminished social life and the threat of accidentally seeing something starring Pauly Shore, is the possibility of burnout. I was in an extremely ashen phase when I stumbled across the low-budget Hong Kong flick. Things haven't been quite the same since. Watching director Wong Kar-Wei's goofy ode to dysfunctional relationships is the most fun I've had with a movie since John Woo's legendary THE KILLER. A barely connected pair of stories filmed in kamikaze fashion (Kar-Wei would write scenes in the afternoon and shoot them that same night), this borders on complete incoherence at times, but always manages to recover to spectacular effect. The first story involves a lovesick cop, a blonde-wigged female smuggler who can blow away a roomful of bad guys in the time that it takes Stallone to remember a line, and 31 cans of pineapple. The second, and infinitely more amusing, story features another cop (Woo regular Tony Leung, who picked up a Chinese Oscar for his great work here) and his wacked-out relationship with a waitress who constantly breaks into his apartment to redecorate. To say anything more would be to spoil the fun.
At its best moments, this movie delivers a sustained jolt of pure cinema; it'll get you high.
Copyright 1998 by The Critic formerly known as Andrew Wright For more insanely biased reviews, check out http://www.seanet.com/~louk/ e-mail<EMAIL_ADDRESS>"Let's make some noise, Colorado."
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
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Hello, It gives me a great deal of pleasure to write you this mail and even when it might come to you as a surprise, I hope you find it of interest. Let me first introduce myself. My name is David Timms. I am an Executive Auditor with a Bank here in Europe , I would like to use this means to ask your assistance in moving some fund over to your country. I have in the course of my duties come in contact with a good amount of Fund that have been inactive for some years now and careful investigation proved the original depositor of the fund died five years ago and all attempt to reach the suppose beneficiary of the deposit were fruitless and before it is forfeited to the state I decided to move it. It is of interest to inform you also that I have already moved this fund out of the Establishment and now in safe keeping with a Finance and security house, I will like to move it outside now and this is were I need your assistance. After legal consultation, I have established modalities for a secured way for a perfect transaction., but be most assured that for your assistance and partnership you will get a good percentage of the fund, it is important to let you know that fifty percent of the rest will be invested over there under your management for a negotiable period of time and we will open a fruitful dialog very soon to that effect. I look forward to our working closely in practically seeing this transaction come to a perfect end. For effective communication, please kindly include in your reply, your complete Names, Address, Occupation, Age and most especially your phone number and I will contact you as soon as I get your reply. I look forward to hearing from you and my gratitude for your Patience Respectfully yours David Timms Reply to: davidtimms@sify.com


I recently attended a Rave in Oregon where I experimented with 5-MeO-DiPT for the first time.
I had decided to 'try out' the drug at about 1:00p on Saturday before the second night of the Rave got into full swing. I made some inquiries and acquire four doses of Foxy in gelcaps that held about 7-8 milligrams a piece from someone who had a history of supplying unadulterated substances in the past.
I took my first dose at about 1:30p and waited about thirty to forty minutes before I began to feel any effects. They came on quite quickly after my first sensation and grew in intensity rapidly. The overwhelming feeling was that of a strong body high, similar to that induced by psychedelic mushrooms but 'dirtier' by comparison. Some mild nausea also bothered me for another thirty minutes after onset.
T+1:10
I decided to take my second dose.
T+1:20 to T+1:40
While waiting for my second capsule to kick in I quickly realized that I may have made my decision to imbibe a second a bit hastily as the body high grew in intensity. It further increased when my second dose kicked in around T+1:45 or so.
Throughout this experience the body high was accompanied by an overwhelming feeling of uneasiness and the 'dirty' quality of the sensation also magnified. Unlike MDMA, the sensation felt very unnatural, very chemical in origin, as if I was wearing a skin of 'intoxication.' An overwhelming desire to peel off my skin accompanied this high and began to feel agitated as a result.
T+2:15
I started to notice some mild visual effects (tracers, blurring and shaking). I also noticed that I was feeling somewhat aroused and my sense of touch was greatly enhanced. Small amounts of pain became extremely satisfying and relaxing to me.
T+2:30 to T+4:00
I found myself on a plateau, with a sense of 'coming down' occurring at about T+4:15 to T+5:00. Once disturbing quality of this drug seemed to be the way I came down since I would intermittently feel completely sober and then completely drugged, with no periods of mixed sensation.
T+6:30
The periods of sensation continued to decrease until about this period, when I decided to ingest a small quantity (about half of 1/8) of psychedelic mushrooms. I began to feel the onset of the mushrooms very quickly.
T+6:55
I began to feel the effects of the mushrooms and noticed increased visuals.
T+7:10
I took my third hit of 5-MeO-DiPT and waited for it to quick in as the mushrooms maintained a comfortably soft body high. One interesting thing I noticed was that the mushrooms (combined with a hit or two of cannabis) seemed to snap me back into the sensations I felt on just Foxy earlier in the day.
I estimate it was about T+7:35
My third dose of the Foxy kicked in (I had not eaten for almost eight hours at this point) and I found the sensations even more intense. While I still felt somewhat agitated and my sense of touch was still greatly enhanced I found that the nausea was almost completely gone. The 'dirty' body high was also noticeably absent and I theorize that the mushrooms helped alleviate some of my previous discomfort.
The rest of the evening continued uneventfully with my plateau beginning at around T+8:15 and continuing for sometime until I imbibed my fourth (and final) dose of the Foxy at around T+10:00. Nothing changed until around T+10:30 when my fourth hit kicked in and I began to notice the 'dirty' body high again, though it was much gentler this time.
I estimate that the mushrooms began to exit my system at around T+11:10 as it was about this time the 'dirty' body high resumed it's earlier full-blown intensity. I was able to deal with better this time as I was more accustomed to it and as it came on much slower I was able to adjust to it far better.
I was settling in for reasonably good evening when at T+11:35 or so I began to experience very strong visuals and hallucinations. For the next several hours I found it difficult to speak coherently or walk in a specific direction. I often found myself engaging in activities for several minutes before suddenly finding myself back where I had begun and in the exact same moment.
It was enjoyable for a few hours but at about 4:00am (T+15:00) I began to feel very unsettled as the experience was in no way diminishing. I also began to experience uncontrollable muscle contractions in my face, abdomen and thighs. This contractions 'flickered' all over my body and made it incredibly difficult to do anything comfortably, or to relax for any period of time. Coupled with even stronger 'out of body' tripping I was beginning to panic as I could not shut the experience out and I found myself desperate for some sort of nervous system depressant to let me sleep.
Finally at T+17:00 (6:00am) the hallucinations stopped and the entire high left me abruptly. So abruptly in fact that I found myself shaking from the sudden shift, although I was ecstatic at my experience finally having ended. I was still unable to sleep for another two hours or so but once I finally managed to shut my eyes and lose consciousness I found myself mostly recovered upon waking a few hours later though I did experience a few momentary hallucinations and body twitches throughout the remainder of the day.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.