Dr. Chiu has over twenty five years of experience in the life sciences industry as an entrepreneur, researcher, and venture investor. Most recently Dr. Chiu has focused his attention on fixing the health care system by creating new pathways for innovation and change in medicine. Vavici Capital the first Liberty Fund is key part of this strategy. The fund concept which was developed as part of Dr. Chiu’s capacity as Business Advisor and National Guest Lecturer for the Clinical Excellence Research Center at Stanford, strives to work with thought leading institutions to build and implement health care models that can lower costs and improve outcomes.
Dr. Chiu is currently the founding and managing partner for CMX Capital, LLC, a San Diego based venture fund that is currently focused on providing advisory services to investors and life science companies. As part of the advisory service Dr. Chiu can and has taken operating positions to assist companies, including CEO of Vavici a stem cell distribution company and CSO and VP Business Development for Bridgetech Holdings International a life science company that licensed US biotechnologies, devices, and diagnostics for development and sales in China and Taiwan.
Prior to founding CMX Capital Fund, Dr. Chiu founded its predecessor Novel Bioventures Advisors, where he served as Managing Director and built the investment team that invested in seven companies in less than two years. His investments included Cellerant, Transmedics, Predix, ARYx, Omeros, Capnia, and Intrabiotics. In addition Dr. Chiu worked with the investment team to invest in a variety of venture and hedge funds including some of the top life science funds in the business.
He was a Venture Partner at Forward Ventures, where he sourced and evaluated numerous private equity investments and served as either Director or board observer for MedicineNet, Genicon Sciences, Arizeke, and Nereus Biosciences.
Dr. Chiu has both clinical development and marketing experience with several pharmaceuticals from two major pharmaceutical companies, Schering-Plough and Novartis. He was part of the founding oncology team for Novartis Oncology and led the effort to put together the Oncology team’s first sales force and product launch. He has launched products both domestically and internationally including Caelyx/Doxil, a product for treatment of AIDS-related Kaposi’s Sarcoma and other solid tumors; and Sandostatin, a Novartis product for the treatment of Acromegaly and GEP tumors.
Dr. Chiu received his M.D. from Stanford and an M.B.A. from the Haas School of Business at the University of California, Berkeley. He received his B.A. in Biochemistry from Cornell and is a member of the American College of Gastroenterology, the American Association of Clinical Endocrinologists and the Community Board of Advisors Stein Institute for Research on Aging.


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java.lang.Object org.w3c.tidy.Dict
public class Dict
Tag dictionary node. If the document uses just HTML 2.0 tags and attributes described it as HTML 2.0 Similarly for HTML 3.2 and the 3 flavors of HTML 4.0. If there are proprietary tags and attributes then describe it as HTML Proprietary. If it includes the xml-lang or xmlns attributes but is otherwise HTML 2.0, 3.2 or 4.0 then describe it as one of the flavors of Voyager (strict, loose or frameset).
| Field Summary | |
|---|---|
static int |
CM_BLOCK
Content model: block. |
static int |
CM_DEFLIST
Content model: definition list. |
static int |
CM_EMPTY
Content model: empty. |
static int |
CM_FIELD
Content model: field. |
static int |
CM_FRAMES
Content model: frames. |
static int |
CM_HEAD
Content model: head. |
static int |
CM_HEADING
Content model: heading. |
static int |
CM_HTML
Content model: html. |
static int |
CM_IMG
Content model: img. |
static int |
CM_INLINE
Content model: inline. |
static int |
CM_LIST
Content model: list. |
static int |
CM_MIXED
Content model: mixed. |
static int |
CM_NEW
Content model: new. |
static int |
CM_NO_INDENT
Content model: no indent. |
static int |
CM_OBJECT
Content model: object. |
static int |
CM_OBSOLETE
Content model: obsolete. |
static int |
CM_OMITST
Content model: omitst. |
static int |
CM_OPT
Content model: opt. |
static int |
CM_PARAM
Content model: param. |
static int |
CM_ROW
Content model: row. |
static int |
CM_ROWGRP
Content model: rowgroup. |
static int |
CM_TABLE
Content model: table. |
static int |
CM_UNKNOWN
Content model: unknown. |
protected int |
model
model (CM_* constants). |
protected java.lang.String |
name
Tag name. |
static short |
TAGTYPE_BLOCK
types of tags that the user can define: block tag. |
static short |
TAGTYPE_EMPTY
types of tags that the user can define: empty tag. |
static short |
TAGTYPE_INLINE
types of tags that the user can define: inline tag. |
static short |
TAGTYPE_PRE
types of tags that the user can define: pre tag. |
static short |
VERS_ALL
tags/attrs in any version. |
static short |
VERS_BASIC
Version: xhtml basic. |
static short |
VERS_EVENTS
versions with on... |
static short |
VERS_FRAMESET
Version: html 4.0 frameset. |
static short |
VERS_FROM32
tags/attrs in all versions from HTML 3.2 onwards. |
static short |
VERS_HTML20
Version: html 2.0. |
static short |
VERS_HTML32
Version: html 3.2. |
static short |
VERS_HTML40
tags/attrs in HTML4 but not in earlier version. |
static short |
VERS_HTML40_LOOSE
Version: html 4.0 transitional. |
static short |
VERS_HTML40_STRICT
Version: html 4.0 strict. |
static short |
VERS_IFRAME
tags/attrs in HTML 4 loose and frameset. |
static short |
VERS_LOOSE
tags/attrs which are in all versions of HTML except strict. |
static short |
VERS_MALFORMED
Version: malformed. |
static short |
VERS_MICROSOFT
Version: microsoft. |
static short |
VERS_NETSCAPE
Version: netscape. |
static short |
VERS_PROPRIETARY
all tags and attributes are ok in proprietary version of HTML. |
static short |
VERS_SUN
Version: sun. |
static short |
VERS_UNKNOWN
Version: unknown. |
static short |
VERS_XHTML11
Version: xhtml 1.1. |
static short |
VERS_XML
Version: xml. |
protected short |
versions
Version in which this tag is defined. |
| Constructor Summary | |
|---|---|
Dict(java.lang.String name,
short versions,
int model,
Parser parser,
TagCheck chkattrs)
Instantiates a new Tag definition. |
| Method Summary | |
|---|---|
TagCheck |
getChkattrs()
Getter for chkattrs . |
int |
getModel()
Getter for model . |
java.lang.String |
getName()
Getter for name . |
Parser |
getParser()
Getter for parser . |
short |
getVersions()
Getter for versions . |
void |
setChkattrs(TagCheck chkattrs)
Setter for chkattrs . |
void |
setParser(Parser parser)
Setter for parser . |
| Methods inherited from class java.lang.Object |
|---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Field Detail |
|---|
public static final int CM_UNKNOWN
public static final int CM_EMPTY
public static final int CM_HTML
public static final int CM_HEAD
public static final int CM_BLOCK
public static final int CM_INLINE
public static final int CM_LIST
public static final int CM_DEFLIST
public static final int CM_TABLE
public static final int CM_ROWGRP
public static final int CM_ROW
public static final int CM_FIELD
public static final int CM_OBJECT
public static final int CM_PARAM
public static final int CM_FRAMES
public static final int CM_HEADING
public static final int CM_OPT
public static final int CM_IMG
public static final int CM_MIXED
public static final int CM_NO_INDENT
public static final int CM_OBSOLETE
public static final int CM_NEW
public static final int CM_OMITST
public static final short VERS_UNKNOWN
public static final short VERS_HTML20
public static final short VERS_HTML32
public static final short VERS_HTML40_STRICT
public static final short VERS_HTML40_LOOSE
public static final short VERS_FRAMESET
public static final short VERS_XML
public static final short VERS_NETSCAPE
public static final short VERS_MICROSOFT
public static final short VERS_SUN
public static final short VERS_MALFORMED
public static final short VERS_XHTML11
public static final short VERS_BASIC
public static final short VERS_PROPRIETARY
public static final short VERS_HTML40
public static final short VERS_LOOSE
public static final short VERS_IFRAME
public static final short VERS_FROM32
public static final short VERS_EVENTS
public static final short VERS_ALL
public static final short TAGTYPE_EMPTY
public static final short TAGTYPE_INLINE
public static final short TAGTYPE_BLOCK
public static final short TAGTYPE_PRE
protected java.lang.String name
protected short versions
protected int model
| Constructor Detail |
|---|
public Dict(java.lang.String name, short versions, int model, Parser parser, TagCheck chkattrs)
name
- tag nameversions
- version in which this tag is definedmodel
- model (CM_* constants)parser
- parser for this tagchkattrs
- validator for this tag (can be null)| Method Detail |
|---|
public TagCheck getChkattrs()
chkattrs
.
public int getModel()
model
.
public java.lang.String getName()
name
.
public Parser getParser()
parser
.
public void setChkattrs(TagCheck chkattrs)
chkattrs
.
chkattrs
- The chkattrs to set.public short getVersions()
versions
.
public void setParser(Parser parser)
parser
.
parser
- The parser to set.
|
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Example Class: What are the Elements of a Class
February 9, 2016
Ruby is an object oriented language. Sometimes this is referred to as "OOP" (object oriented programming). This means that everything in your code is a type of object. The originators of OOP wanted the language to mirror the physical world. The real world is full of objects that have characteristics and behavior. Ruby is full of objects that have characteristics and behaviors.
Here is an example of the code your Ruby environment uses to create a new object. It is a set of instructions that define the characteristics and behaviors of all 'Chairs' in your currently running Ruby environment.
class Chair
attr_reader :color # Automagically creates a getter method
attr_accessor :height # Automagically creates a getter and setter method
# This is an example of a class variable
@@count = 0
# This is the method that executes when creating a new instance of the Chair class
def initialize(color, height)
@color = color
@height = height
@@count += 1
end
# This is an example of a class method
def self.count
puts "There are currently #{@@count} chairs."
end
# This is an example of an instance method
def spin(direction, strength)
puts "The chair is spinning #{direction}."
sleep strength
puts "The chair has stopped spinning."
end
end
Here is some more code that you execute in the Ruby environment. This code is telling Ruby to execute the code from above, in order to create several 'Chairs' and interact with these 'Chairs'.
Chair.count
# This is an example of creating a new instance of the Chair class.
chair1 = Chair.new("black", "high")
chair2 = Chair.new("black", "high")
chair3 = Chair.new("black", "high")
chair4 = Chair.new("black", "high")
chair5 = Chair.new("black", "high")
Chair.count
# This is an example of using an instance method.
chair.spin("counter-clockwise", 1)
# These are examples of accessing instance variables through a getter methods.
p "The height of the chair is #{chair.height}."
p "The color of the chair is #{chair.color}."
# This is an example of modifying an instance variable with a setter method.
chair.height = "low"
p "The height of the chair is #{chair.height}."
Here are some explanations of several parts of the first section of code.
- Class Variable: A class variable is a variable that is shared by all instances of a class.
- Instance Variable: An instance variable is a variable that is references with the same code for each instance of a class, but with returns a value that is unique to each instance of the class.
- Local Variable: A local variable is a variable that is only accessible within the method in which it is created.
- Class Method: A class method is a method that you call by referencing the class and the class method.
- Instance Method: An instance method is a method that you call by referencing an instance of a class and the method


30 October 2001 Disease Outbreak Reported
Through the WHO Collaborating Centres, the Centers for Disease Control and Prevention (CDC), WHO is continuing to monitor the situation in the United States. For the latest information from CDC, click here.


{% extends 'layouts/main.html' %} {% block title %}JHU Map{% endblock %} {% block content %}
This map shows all cases of Coronavirus as of today. Made by Johns Hopkins University (JHU) researchers, this map was made to help everyone track cases world wide.
Source: Johns Hopkins Center for Systems Science and Engineering


I am a recent UConn graduate looking for a UX/UI position. I design apps and tools for users that just want to get stuff done. I believe the minimalist approach is best way to do this. By stripping away unnecessary elements, using precise language, and automating as much as possible, users can cut through the tedium of telling their computer what to do.


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Rod Stewart falls out with Elton John after calling tour 'money grabbing'
Singing legend Rod Stewart has admitted he’s had a ‘falling out’ of sorts with Elton John, after criticising his latest creative endeavours.
Seeing the If You Think I’m Sexy hitmaker has no qualms with calling out his frenemy, after Sir Elton recently worked on fantastical biopic Rocketman, before recently penning memoir Me: Elton John.
He’s also embarking on a three-year tour to wrap up his time on the road – all things Rod isn’t too impressed with.
Now 74-year-old Sir Rod (so many Sirs) has revealed a rift with his 72-year-old musical colleague, opening up during a recent radio interview.
‘I do love Elton, only we’re not talking at the moment. We’ve had a spat,’ he said, according to Mail On Sunday.
Asked why they had clashed, Rod was honest in his explanation, as he added: ‘Because I criticised his tour as being money-grabbing.’
Still, Rod wasn’t ready to let it go and move on, as he continued to kick the boot in and criticised Rocketman as not holding a candle to the Freddie Mercury biopic Bohemian Rhapsody.
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He described the Oscar-winning film, that stared Rami Malek in the lead role, as a ‘great rock ’n’ roll film’ but added of his mate’s Rocketman: ‘I don’t think this quite lived up to it.’
On top of that, Rod also called the dancing in the film that starred Taron Egerton ‘a bit Mamma Mia’ in its style. Ouch.
The two have had a seemingly tit for tat relationship over the years, after the 70s saw them engage in upmanship including at their Las Vegas gigs when Elton took Rod’s banner for his Blondes Have More Fun tour and created his own But Brunettes Make More Money version.
The two insisted in 1983, that despite appearances, they’re ‘actually very good friends’, however, as Elton added, things would hit the fan ‘when they both get in the Top 10’ and battle for the lead spot on the charts.
Things then got personal when, in 1990, Rod married third wife Rachel Hunter, Elton apparently sent them a £10 gift voucher for Boots.
Nice, that.
In March Rod drew first blood about Elton’s farewell tour, poking fun at the extravagant bowing out.
Elton’s adversary was appearing on What What Happens Live With Andy Cohen when he was asked by a viewer what he made of the whole retirement tour palaver.
‘I did email her and said, “What, again dear?”‘ Rod said. ‘And I didn’t hear anything back.’
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He added: ‘Talking about retirement, I’ve never spoken about retirement, and if I do retire, I won’t make an announcement.
‘I’ll just fade away, I don’t think this big deal, “I’m going to retire” – it stinks of selling tickets…it’s dishonest. It’s not rock and roll.’
Metro.co.uk contacted Elton’s reps for comment.
Got a showbiz story?
If you've got a story, video or pictures get in touch with the Metro.co.uk Entertainment team by emailing us<EMAIL_ADDRESS>calling 020 3615 2145 or by visiting our Submit Stuff page - we'd love to hear from you.


{% extends 'vault/base.html' %} {% load static %} {% block content %}
Create an account by entering your email address and setting a Master Password. Your data is stored in your account. A Master Password is the only password you need to remember.
Add your passwords manually. You can easily store unlimited number of passwords.
You can easily access all the passwords you stored just by having access to internet. Our web based password manager is accessible on all major browsers, meaning you'll find your passwords on all your devices.


Oops! Server Is'nt Smart as You
500 Unable To Process Your Request
Sorry, an error has occurred, Please try again!
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{{groupArrays[0].Group}}


jqScheduler for PHP supports all major browsers:
MySQL, PostgreSQL and SQLite databases are supported through PHP PDO (PHP Data Objects), so depending on your PHP setup you may need to install it before using jqScheduler for PHP. PDO is by default installed in PHP 5.1+ distributions. PDO is a core PHP technology, created and supported by the core PHP team.
To ensure that PDO is installed in your production enviornment, please run the following PHP script on your development/production machine:
Save the file and run it on your web server. The following should appear if you want to use MySQL and have PDO installed:
The following should appear if you want to use PostgreSQL and have PDO installed:
The following should appear if you want to use SQLite and have PDO installed:
Microsoft SQL Server is supported through the PHP driver provided by Microsoft. Please follow the installation instructions provided by Microsoft in the PHP driver documentation. After the driver is installed, the following should appear if you run the "phpinfo()" function:
Oracle is supported through the PHP OCI8 driver. Please follow the installation instructions provided in the same link. After the driver is installed, the following should appear if you run the "phpinfo()" function:
Additinally MqSQL database is supported through Mysqli driver. Follow the installation instuction provided from the same link. After the installation is done the following should appear if you run the "phpinfo()" function:
Additinally DB2 database is supported through DB2 driver. Follow the installation instuction provided from the same link. After the installation is done the following should appear if you run the "phpinfo()" function:


|
axle OS
x86_32 UNIX-like hobby OS
|
Public Attributes | |
| char * | name |
| int | id |
| int | queue |
| task_state | state |
| uint32_t | wake_timestamp |
| uint32_t | begin_date |
| uint32_t | end_date |
| uint32_t | relinquish_date |
| uint32_t | lifespan |
| struct task * | next |
| uint32_t | esp |
| uint32_t | ebp |
| uint32_t | eip |
| page_directory_t * | page_dir |
| uint32_t | prog_break |
| uint32_t | bss_loc |
| array_m * | child_tasks |
| struct task * | parent |
| int | exit_code |
| void * | block_context |
| fd_entry | fd_table [FD_MAX] |
| struct std_stream * | std_stream |


immune virus basic viral study fundamental virus, (e.g., WNV allowed cells, colleagues laboratory viruses


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Object org.apache.spark.streaming.api.java.JavaStreamingContext
public class JavaStreamingContext
A Java-friendly version of StreamingContext
which is the main
entry point for Spark Streaming functionality. It provides methods to create
JavaDStream
and
JavaPairDStream$
from input sources. The internal
org.apache.spark.api.java.JavaSparkContext (see core Spark documentation) can be accessed
using context.sparkContext
. After creating and transforming DStreams, the streaming
computation can be started and stopped using context.start()
and context.stop()
,
respectively. context.awaitTermination()
allows the current thread to wait for the
termination of a context by stop()
or by an exception.
| Constructor Summary | |
|---|---|
JavaStreamingContext(JavaSparkContext sparkContext,
Duration batchDuration)
Create a JavaStreamingContext using an existing JavaSparkContext. |
|
JavaStreamingContext(SparkConf conf,
Duration batchDuration)
Create a JavaStreamingContext using a SparkConf configuration. |
|
JavaStreamingContext(StreamingContext ssc)
|
|
JavaStreamingContext(String path)
Recreate a JavaStreamingContext from a checkpoint file. |
|
JavaStreamingContext(String path,
org.apache.hadoop.conf.Configuration hadoopConf)
Re-creates a JavaStreamingContext from a checkpoint file. |
|
JavaStreamingContext(String master,
String appName,
Duration batchDuration)
Create a StreamingContext. |
|
JavaStreamingContext(String master,
String appName,
Duration batchDuration,
String sparkHome,
String jarFile)
Create a StreamingContext. |
|
JavaStreamingContext(String master,
String appName,
Duration batchDuration,
String sparkHome,
String[] jars)
Create a StreamingContext. |
|
JavaStreamingContext(String master,
String appName,
Duration batchDuration,
String sparkHome,
String[] jars,
java.util.Map<String,String> environment)
Create a StreamingContext. |
| Method Summary | ||
|---|---|---|
|
actorStream(akka.actor.Props props,
String name)
Create an input stream with any arbitrary user implemented actor receiver. |
|
|
actorStream(akka.actor.Props props,
String name,
StorageLevel storageLevel)
Create an input stream with any arbitrary user implemented actor receiver. |
|
|
actorStream(akka.actor.Props props,
String name,
StorageLevel storageLevel,
akka.actor.SupervisorStrategy supervisorStrategy)
Create an input stream with any arbitrary user implemented actor receiver. |
|
void |
addStreamingListener(StreamingListener streamingListener)
Add a StreamingListener object for
receiving system events related to streaming. |
|
void |
awaitTermination()
Wait for the execution to stop. |
|
void |
awaitTermination(long timeout)
Deprecated. As of 1.3.0, replaced by awaitTerminationOrTimeout(Long) . |
|
boolean |
awaitTerminationOrTimeout(long timeout)
Wait for the execution to stop. |
|
JavaDStream<byte[]> |
binaryRecordsStream(String directory,
int recordLength)
:: Experimental :: |
|
void |
checkpoint(String directory)
Sets the context to periodically checkpoint the DStream operations for master fault-tolerance. |
|
void |
close()
|
|
|
fileStream(String directory,
Class<K> kClass,
Class<V> vClass,
Class<F> fClass)
Create an input stream that monitors a Hadoop-compatible filesystem for new files and reads them using the given key-value types and input format. |
|
|
fileStream(String directory,
Class<K> kClass,
Class<V> vClass,
Class<F> fClass,
Function<org.apache.hadoop.fs.Path,Boolean> filter,
boolean newFilesOnly)
Create an input stream that monitors a Hadoop-compatible filesystem for new files and reads them using the given key-value types and input format. |
|
|
fileStream(String directory,
Class<K> kClass,
Class<V> vClass,
Class<F> fClass,
Function<org.apache.hadoop.fs.Path,Boolean> filter,
boolean newFilesOnly,
org.apache.hadoop.conf.Configuration conf)
Create an input stream that monitors a Hadoop-compatible filesystem for new files and reads them using the given key-value types and input format. |
|
static JavaStreamingContext |
getOrCreate(String checkpointPath,
org.apache.hadoop.conf.Configuration hadoopConf,
JavaStreamingContextFactory factory)
Deprecated. As of 1.4.0, replaced by getOrCreate without JavaStreamingContextFactor. |
|
static JavaStreamingContext |
getOrCreate(String checkpointPath,
org.apache.hadoop.conf.Configuration hadoopConf,
JavaStreamingContextFactory factory,
boolean createOnError)
Deprecated. As of 1.4.0, replaced by getOrCreate without JavaStreamingContextFactor. |
|
static JavaStreamingContext |
getOrCreate(String checkpointPath,
Function0<JavaStreamingContext> creatingFunc)
Either recreate a StreamingContext from checkpoint data or create a new StreamingContext. |
|
static JavaStreamingContext |
getOrCreate(String checkpointPath,
Function0<JavaStreamingContext> creatingFunc,
org.apache.hadoop.conf.Configuration hadoopConf)
Either recreate a StreamingContext from checkpoint data or create a new StreamingContext. |
|
static JavaStreamingContext |
getOrCreate(String checkpointPath,
Function0<JavaStreamingContext> creatingFunc,
org.apache.hadoop.conf.Configuration hadoopConf,
boolean createOnError)
Either recreate a StreamingContext from checkpoint data or create a new StreamingContext. |
|
static JavaStreamingContext |
getOrCreate(String checkpointPath,
JavaStreamingContextFactory factory)
Deprecated. As of 1.4.0, replaced by getOrCreate without JavaStreamingContextFactor. |
|
StreamingContextState |
getState()
:: DeveloperApi :: |
|
static String[] |
jarOfClass(Class<?> cls)
Find the JAR from which a given class was loaded, to make it easy for users to pass their JARs to StreamingContext. |
|
|
queueStream(java.util.Queue<JavaRDD<T>> queue)
Create an input stream from an queue of RDDs. |
|
|
queueStream(java.util.Queue<JavaRDD<T>> queue,
boolean oneAtATime)
Create an input stream from an queue of RDDs. |
|
|
queueStream(java.util.Queue<JavaRDD<T>> queue,
boolean oneAtATime,
JavaRDD<T> defaultRDD)
Create an input stream from an queue of RDDs. |
|
|
rawSocketStream(String hostname,
int port)
Create an input stream from network source hostname:port, where data is received as serialized blocks (serialized using the Spark's serializer) that can be directly pushed into the block manager without deserializing them. |
|
|
rawSocketStream(String hostname,
int port,
StorageLevel storageLevel)
Create an input stream from network source hostname:port, where data is received as serialized blocks (serialized using the Spark's serializer) that can be directly pushed into the block manager without deserializing them. |
|
|
receiverStream(Receiver<T> receiver)
Create an input stream with any arbitrary user implemented receiver. |
|
void |
remember(Duration duration)
Sets each DStreams in this context to remember RDDs it generated in the last given duration. |
|
JavaSparkContext |
sc()
Deprecated. As of 0.9.0, replaced by sparkContext |
|
|
socketStream(String hostname,
int port,
Function<java.io.InputStream,Iterable<T>> converter,
StorageLevel storageLevel)
Create an input stream from network source hostname:port. |
|
JavaReceiverInputDStream<String> |
socketTextStream(String hostname,
int port)
Create an input stream from network source hostname:port. |
|
JavaReceiverInputDStream<String> |
socketTextStream(String hostname,
int port,
StorageLevel storageLevel)
Create an input stream from network source hostname:port. |
|
JavaSparkContext |
sparkContext()
The underlying SparkContext |
|
StreamingContext |
ssc()
|
|
void |
start()
Start the execution of the streams. |
|
void |
stop()
Stop the execution of the streams. |
|
void |
stop(boolean stopSparkContext)
Stop the execution of the streams. |
|
void |
stop(boolean stopSparkContext,
boolean stopGracefully)
Stop the execution of the streams. |
|
JavaDStream<String> |
textFileStream(String directory)
Create an input stream that monitors a Hadoop-compatible filesystem for new files and reads them as text files (using key as LongWritable, value as Text and input format as TextInputFormat). |
|
|
transform(java.util.List<JavaDStream<?>> dstreams,
Function2<java.util.List<JavaRDD<?>>,Time,JavaRDD<T>> transformFunc)
Create a new DStream in which each RDD is generated by applying a function on RDDs of the DStreams. |
|
|
transformToPair(java.util.List<JavaDStream<?>> dstreams,
Function2<java.util.List<JavaRDD<?>>,Time,JavaPairRDD<K,V>> transformFunc)
Create a new DStream in which each RDD is generated by applying a function on RDDs of the DStreams. |
|
|
union(JavaDStream<T> first,
java.util.List<JavaDStream<T>> rest)
Create a unified DStream from multiple DStreams of the same type and same slide duration. |
|
|
union(JavaPairDStream<K,V> first,
java.util.List<JavaPairDStream<K,V>> rest)
Create a unified DStream from multiple DStreams of the same type and same slide duration. |
| Methods inherited from class Object |
|---|
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Constructor Detail |
|---|
public JavaStreamingContext(StreamingContext ssc)
public JavaStreamingContext(String master, String appName, Duration batchDuration)
master
- Name of the Spark MasterappName
- Name to be used when registering with the schedulerbatchDuration
- The time interval at which streaming data will be divided into batchespublic JavaStreamingContext(String master, String appName, Duration batchDuration, String sparkHome, String jarFile)
master
- Name of the Spark MasterappName
- Name to be used when registering with the schedulerbatchDuration
- The time interval at which streaming data will be divided into batchessparkHome
- The SPARK_HOME directory on the slave nodesjarFile
- JAR file containing job code, to ship to cluster. This can be a path on the
local file system or an HDFS, HTTP, HTTPS, or FTP URL.public JavaStreamingContext(String master, String appName, Duration batchDuration, String sparkHome, String[] jars)
master
- Name of the Spark MasterappName
- Name to be used when registering with the schedulerbatchDuration
- The time interval at which streaming data will be divided into batchessparkHome
- The SPARK_HOME directory on the slave nodesjars
- Collection of JARs to send to the cluster. These can be paths on the local file
system or HDFS, HTTP, HTTPS, or FTP URLs.public JavaStreamingContext(String master, String appName, Duration batchDuration, String sparkHome, String[] jars, java.util.Map<String,String> environment)
master
- Name of the Spark MasterappName
- Name to be used when registering with the schedulerbatchDuration
- The time interval at which streaming data will be divided into batchessparkHome
- The SPARK_HOME directory on the slave nodesjars
- Collection of JARs to send to the cluster. These can be paths on the local file
system or HDFS, HTTP, HTTPS, or FTP URLs.environment
- Environment variables to set on worker nodespublic JavaStreamingContext(JavaSparkContext sparkContext, Duration batchDuration)
sparkContext
- The underlying JavaSparkContext to usebatchDuration
- The time interval at which streaming data will be divided into batchespublic JavaStreamingContext(SparkConf conf, Duration batchDuration)
conf
- A Spark application configurationbatchDuration
- The time interval at which streaming data will be divided into batchespublic JavaStreamingContext(String path)
path
- Path to the directory that was specified as the checkpoint directorypublic JavaStreamingContext(String path, org.apache.hadoop.conf.Configuration hadoopConf)
path
- Path to the directory that was specified as the checkpoint directory
hadoopConf
- (undocumented)| Method Detail |
|---|
public static JavaStreamingContext getOrCreate(String checkpointPath, JavaStreamingContextFactory factory)
getOrCreate
without JavaStreamingContextFactor.
checkpointPath
, then StreamingContext will be
recreated from the checkpoint data. If the data does not exist, then the provided factory
will be used to create a JavaStreamingContext.
checkpointPath
- Checkpoint directory used in an earlier JavaStreamingContext programfactory
- JavaStreamingContextFactory object to create a new JavaStreamingContext
public static JavaStreamingContext getOrCreate(String checkpointPath, org.apache.hadoop.conf.Configuration hadoopConf, JavaStreamingContextFactory factory)
getOrCreate
without JavaStreamingContextFactor.
checkpointPath
, then StreamingContext will be
recreated from the checkpoint data. If the data does not exist, then the provided factory
will be used to create a JavaStreamingContext.
checkpointPath
- Checkpoint directory used in an earlier StreamingContext programfactory
- JavaStreamingContextFactory object to create a new JavaStreamingContexthadoopConf
- Hadoop configuration if necessary for reading from any HDFS compatible
file system
public static JavaStreamingContext getOrCreate(String checkpointPath, org.apache.hadoop.conf.Configuration hadoopConf, JavaStreamingContextFactory factory, boolean createOnError)
getOrCreate
without JavaStreamingContextFactor.
checkpointPath
, then StreamingContext will be
recreated from the checkpoint data. If the data does not exist, then the provided factory
will be used to create a JavaStreamingContext.
checkpointPath
- Checkpoint directory used in an earlier StreamingContext programfactory
- JavaStreamingContextFactory object to create a new JavaStreamingContexthadoopConf
- Hadoop configuration if necessary for reading from any HDFS compatible
file systemcreateOnError
- Whether to create a new JavaStreamingContext if there is an
error in reading checkpoint data.
public static JavaStreamingContext getOrCreate(String checkpointPath, Function0<JavaStreamingContext> creatingFunc)
checkpointPath
, then StreamingContext will be
recreated from the checkpoint data. If the data does not exist, then the provided factory
will be used to create a JavaStreamingContext.
checkpointPath
- Checkpoint directory used in an earlier JavaStreamingContext programcreatingFunc
- Function to create a new JavaStreamingContext
public static JavaStreamingContext getOrCreate(String checkpointPath, Function0<JavaStreamingContext> creatingFunc, org.apache.hadoop.conf.Configuration hadoopConf)
checkpointPath
, then StreamingContext will be
recreated from the checkpoint data. If the data does not exist, then the provided factory
will be used to create a JavaStreamingContext.
checkpointPath
- Checkpoint directory used in an earlier StreamingContext programcreatingFunc
- Function to create a new JavaStreamingContexthadoopConf
- Hadoop configuration if necessary for reading from any HDFS compatible
file system
public static JavaStreamingContext getOrCreate(String checkpointPath, Function0<JavaStreamingContext> creatingFunc, org.apache.hadoop.conf.Configuration hadoopConf, boolean createOnError)
checkpointPath
, then StreamingContext will be
recreated from the checkpoint data. If the data does not exist, then the provided factory
will be used to create a JavaStreamingContext.
checkpointPath
- Checkpoint directory used in an earlier StreamingContext programcreatingFunc
- Function to create a new JavaStreamingContexthadoopConf
- Hadoop configuration if necessary for reading from any HDFS compatible
file systemcreateOnError
- Whether to create a new JavaStreamingContext if there is an
error in reading checkpoint data.
public static String[] jarOfClass(Class<?> cls)
cls
- (undocumented)
public StreamingContext ssc()
public JavaSparkContext sparkContext()
public JavaSparkContext sc()
sparkContext
public JavaReceiverInputDStream<String> socketTextStream(String hostname, int port, StorageLevel storageLevel)
hostname
- Hostname to connect to for receiving dataport
- Port to connect to for receiving datastorageLevel
- Storage level to use for storing the received objects
public JavaReceiverInputDStream<String> socketTextStream(String hostname, int port)
hostname
- Hostname to connect to for receiving dataport
- Port to connect to for receiving data
public <T> JavaReceiverInputDStream<T> socketStream(String hostname, int port, Function<java.io.InputStream,Iterable<T>> converter, StorageLevel storageLevel)
hostname
- Hostname to connect to for receiving dataport
- Port to connect to for receiving dataconverter
- Function to convert the byte stream to objectsstorageLevel
- Storage level to use for storing the received objects
public JavaDStream<String> textFileStream(String directory)
directory
- HDFS directory to monitor for new file
public JavaDStream<byte[]> binaryRecordsStream(String directory, int recordLength)
Create an input stream that monitors a Hadoop-compatible filesystem for new files and reads them as flat binary files with fixed record lengths, yielding byte arrays
'''Note:''' We ensure that the byte array for each record in the resulting RDDs of the DStream has the provided record length.
directory
- HDFS directory to monitor for new filesrecordLength
- The length at which to split the records
public <T> JavaReceiverInputDStream<T> rawSocketStream(String hostname, int port, StorageLevel storageLevel)
hostname
- Hostname to connect to for receiving dataport
- Port to connect to for receiving datastorageLevel
- Storage level to use for storing the received objects
public <T> JavaReceiverInputDStream<T> rawSocketStream(String hostname, int port)
hostname
- Hostname to connect to for receiving dataport
- Port to connect to for receiving data
public <K,V,F extends org.apache.hadoop.mapreduce.InputFormat<K,V>> JavaPairInputDStream<K,V> fileStream(String directory, Class<K> kClass, Class<V> vClass, Class<F> fClass)
directory
- HDFS directory to monitor for new filekClass
- class of key for reading HDFS filevClass
- class of value for reading HDFS filefClass
- class of input format for reading HDFS file
public <K,V,F extends org.apache.hadoop.mapreduce.InputFormat<K,V>> JavaPairInputDStream<K,V> fileStream(String directory, Class<K> kClass, Class<V> vClass, Class<F> fClass, Function<org.apache.hadoop.fs.Path,Boolean> filter, boolean newFilesOnly)
directory
- HDFS directory to monitor for new filekClass
- class of key for reading HDFS filevClass
- class of value for reading HDFS filefClass
- class of input format for reading HDFS filefilter
- Function to filter paths to processnewFilesOnly
- Should process only new files and ignore existing files in the directory
public <K,V,F extends org.apache.hadoop.mapreduce.InputFormat<K,V>> JavaPairInputDStream<K,V> fileStream(String directory, Class<K> kClass, Class<V> vClass, Class<F> fClass, Function<org.apache.hadoop.fs.Path,Boolean> filter, boolean newFilesOnly, org.apache.hadoop.conf.Configuration conf)
directory
- HDFS directory to monitor for new filekClass
- class of key for reading HDFS filevClass
- class of value for reading HDFS filefClass
- class of input format for reading HDFS filefilter
- Function to filter paths to processnewFilesOnly
- Should process only new files and ignore existing files in the directoryconf
- Hadoop configuration
public <T> JavaReceiverInputDStream<T> actorStream(akka.actor.Props props, String name, StorageLevel storageLevel, akka.actor.SupervisorStrategy supervisorStrategy)
props
- Props object defining creation of the actorname
- Name of the actorstorageLevel
- Storage level to use for storing the received objects
supervisorStrategy
- (undocumented)
public <T> JavaReceiverInputDStream<T> actorStream(akka.actor.Props props, String name, StorageLevel storageLevel)
props
- Props object defining creation of the actorname
- Name of the actorstorageLevel
- Storage level to use for storing the received objects
public <T> JavaReceiverInputDStream<T> actorStream(akka.actor.Props props, String name)
props
- Props object defining creation of the actorname
- Name of the actor
public <T> JavaDStream<T> queueStream(java.util.Queue<JavaRDD<T>> queue)
NOTE:
1. Changes to the queue after the stream is created will not be recognized.
2. Arbitrary RDDs can be added to queueStream
, there is no way to recover data of
those RDDs, so queueStream
doesn't support checkpointing.
queue
- Queue of RDDs
public <T> JavaInputDStream<T> queueStream(java.util.Queue<JavaRDD<T>> queue, boolean oneAtATime)
NOTE:
1. Changes to the queue after the stream is created will not be recognized.
2. Arbitrary RDDs can be added to queueStream
, there is no way to recover data of
those RDDs, so queueStream
doesn't support checkpointing.
queue
- Queue of RDDsoneAtATime
- Whether only one RDD should be consumed from the queue in every interval
public <T> JavaInputDStream<T> queueStream(java.util.Queue<JavaRDD<T>> queue, boolean oneAtATime, JavaRDD<T> defaultRDD)
NOTE:
1. Changes to the queue after the stream is created will not be recognized.
2. Arbitrary RDDs can be added to queueStream
, there is no way to recover data of
those RDDs, so queueStream
doesn't support checkpointing.
queue
- Queue of RDDsoneAtATime
- Whether only one RDD should be consumed from the queue in every intervaldefaultRDD
- Default RDD is returned by the DStream when the queue is empty
public <T> JavaReceiverInputDStream<T> receiverStream(Receiver<T> receiver)
receiver
- Custom implementation of Receiver
public <T> JavaDStream<T> union(JavaDStream<T> first, java.util.List<JavaDStream<T>> rest)
first
- (undocumented)rest
- (undocumented)
public <K,V> JavaPairDStream<K,V> union(JavaPairDStream<K,V> first, java.util.List<JavaPairDStream<K,V>> rest)
first
- (undocumented)rest
- (undocumented)
public <T> JavaDStream<T> transform(java.util.List<JavaDStream<?>> dstreams, Function2<java.util.List<JavaRDD<?>>,Time,JavaRDD<T>> transformFunc)
JavaPairDStream
.toJavaDStream().
In the transform function, convert the JavaRDD corresponding to that JavaDStream to
a JavaPairRDD using org.apache.spark.api.java.JavaPairRDD.fromJavaRDD().
dstreams
- (undocumented)transformFunc
- (undocumented)
public <K,V> JavaPairDStream<K,V> transformToPair(java.util.List<JavaDStream<?>> dstreams, Function2<java.util.List<JavaRDD<?>>,Time,JavaPairRDD<K,V>> transformFunc)
JavaPairDStream
.toJavaDStream().
In the transform function, convert the JavaRDD corresponding to that JavaDStream to
a JavaPairRDD using org.apache.spark.api.java.JavaPairRDD.fromJavaRDD().
dstreams
- (undocumented)transformFunc
- (undocumented)
public void checkpoint(String directory)
directory
- HDFS-compatible directory where the checkpoint data will be reliably storedpublic void remember(Duration duration)
duration
- Minimum duration that each DStream should remember its RDDspublic void addStreamingListener(StreamingListener streamingListener)
StreamingListener
object for
receiving system events related to streaming.
streamingListener
- (undocumented)public StreamingContextState getState()
Return the current state of the context. The context can be in three possible states -
public void start()
public void awaitTermination()
public void awaitTermination(long timeout)
awaitTerminationOrTimeout(Long)
.
timeout
- time to wait in millisecondspublic boolean awaitTerminationOrTimeout(long timeout)
timeout
- time to wait in milliseconds
true
if it's stopped; or throw the reported error during the execution; or false
if the waiting time elapsed before returning from the method.public void stop()
public void stop(boolean stopSparkContext)
stopSparkContext
- Stop the associated SparkContext or notpublic void stop(boolean stopSparkContext, boolean stopGracefully)
stopSparkContext
- Stop the associated SparkContext or notstopGracefully
- Stop gracefully by waiting for the processing of all
received data to be completedpublic void close()
close
in interface java.io.Closeable
|
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| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


I know you get this a lot. But how does one clean his car?
Ask a car mechanic. He will know what to do. — Someone_else
✔
Ask a car mechanic. He will know what to do.
Thanks. — Author
Ask a car mechanic. He will know what to do. — Someone_else


Advanced Scalable Data Infrastructures : Learning Map
In this course:
-
You should know
- JavaScript syntax
- HTML/CSS
- Interface design patterns
- jQuery Mobile: Interface design frameworks
- Debugging techniques
- Internet basics
- Git: Revision control
-
We will show you
- jQuery: Programming Framework
- CouchDB: Framework plugins
- Data serialization
- Remote data access
- RESTful Web services
- Data import/export
- CRUD: Data Management
- Data-driven apps
- Cross-platform testing
-
You will research
- Refactoring for frameworks
- Data formats
- Remote databases
-
You will build
- Data-driven app
- Mobile-oriented Web services
-
You can go beyond
- Enhance your app to include multiple pages, databases, interfaces, etc.


|
QuantLib: a free/open-source library for quantitative finance
Fully annotated sources - version 1.30
|
Visitor for a specific class More...
#include <ql/patterns/visitor.hpp>
Public Member Functions | |
| virtual | ~Visitor ()=default |
| virtual void | visit (T &)=0 |
Visitor for a specific class
Definition at line 40 of file visitor.hpp.
|
virtualdefault |
|
pure virtual |


a reference to the logger actor
the server id for this server
the place to send completed work to
the cluster master for this server
the position of this server in the cluster
method to check if a query from one of the slave servers is missing and add it if it's not
method to check if a query from one of the slave servers is missing and add it if it's not
the queryset to check
the position of this server in the cluster
method that raises an error if we get a message we can't handle
method that raises an error if we get a message we can't handle
the actor that received the message
the message that was sent
this is the main code that makes everything consistent
this is the main code that makes everything consistent
the list of queries we received from all other replicas
method that performs the job of making everything consistent
the cluster master for this server
method to merge two query sets together if they both go together, one should go before the other
method to merge two query sets together if they both go together, one should go before the other
the first queryset
the second queryset
if we are the master, this method tells the server that we are all ok
this is the receive block for this actor if a MutableSQL query arrives then we process it, we just announce testmessages if we get a serverlist then we replace our existing list with it.
this is the receive block for this actor if a MutableSQL query arrives then we process it, we just announce testmessages if we get a serverlist then we replace our existing list with it. a makeConsistent request causes us to distribute all our pieces of data to all other requests. if we receive such a list of queries, then we make it consistent and send the results onto the database.
this represents one replication server
16th June 2015


Jimmie Johnson will retire from the NASCAR Cup Series at end of 2020
by Nick DeGrootSeven-time NASCAR champion and Hendrick Motorsports driver Jimmie Johnson will retire from the Cup Series at the conclusion of the 2020 season.
Johnson was keen to delay his call on when to retire for as long as possible, although one of his major sponsors had committed to 2023.
The 44-year-old's seven cup championships is equal with Richard Petty and Dale Earnhardt for the most all-time. Five of those titles came in succession between 2006 and 2010, a NASCAR record, Johnson proving a master of NASCAR's playoff system.
The California driver has also won 83 races - the most among active drivers and sixth all time - in a career dating back to 2001 spanning 651 races.
He is also a two-time winner of the Daytona 500 in both 2006 and 2013.
Johnson tweeted announced his decision on social media, saying, "I'm so thankful for 18 incredible careers of racing in NASCAR.
"This sport has been good to me and allowed me to do something I truly love.
"I showed up chasing a dream and achieved more than I ever thought possible.
"I'm looking forward to next season and celebrating what will be my last year as a full-time NASCAR Cup driver.
"I know what this team is capable of and I hope that 2020 is one of the best yet."
However, he currently faces the longest winless streak of his career with his most recent victory coming at Dover in May, 2017.
Hendrick Motorsports will announce plans for its 2021 team alignment at a later date.


| spacyr-package | An R wrapper to the spaCy NLP system |
| data_char_paragraph | A short paragraph of text for testing |
| data_char_sentences | Sample short documents for testing |
| entity_consolidate | Extract or consolidate entities from parsed documents |
| entity_extract | Extract or consolidate entities from parsed documents |
| nounphrase_consolidate | Extract or consolidate noun phrases from parsed documents |
| nounphrase_extract | Extract or consolidate noun phrases from parsed documents |
| spacyr | An R wrapper to the spaCy NLP system |
| spacy_download_langmodel | Install a language model in a conda or virtual environment |
| spacy_download_langmodel_virtualenv | Install a language model in a conda or virtual environment |
| spacy_extract_entity | Extract named entities from texts using spaCy |
| spacy_extract_nounphrases | Extract noun phrases from texts using spaCy |
| spacy_finalize | Finalize spaCy |
| spacy_initialize | Initialize spaCy |
| spacy_install | Install spaCy in conda or virtualenv environment |
| spacy_install_virtualenv | Install spaCy in conda or virtualenv environment |
| spacy_parse | Parse a text using spaCy |
| spacy_tokenize | Tokenize text with spaCy |
| spacy_uninstall | Uninstall spaCy conda environment |
| spacy_upgrade | Upgrade spaCy in conda environment |


Kevin van Zonneveld
on 2008-09-24 11:31:30
@ Nate: Fixed, thank you!
Nate
on 2008-09-23 03:55:56
Slight grammar error:
// avoids trying to get a char that does not exists
should be
// avoids trying to get a char that does not exist
Also for comment:
// str1 is lengthier than str2
"longer" might be better than "lengthier"; however, that is more of an opinion.


Models and Fields¶
Model
classes, Field
instances and model instances all map to database concepts:
| Thing | Corresponds to... |
|---|---|
| Model class | Database table |
| Field instance | Column on a table |
| Model instance | Row in a database table |
The following code shows the typical way you will define your database connection and model classes.
from peewee import *
db = SqliteDatabase('my_app.db')
class BaseModel(Model):
class Meta:
database = db
class User(BaseModel):
username = CharField(unique=True)
class Tweet(BaseModel):
user = ForeignKeyField(User, related_name='tweets')
message = TextField()
created_date = DateTimeField(default=datetime.datetime.now)
is_published = BooleanField(default=True)
Create an instance of a
Database
.db = SqliteDatabase('my_app.db')
The
db
object will be used to manage the connections to the Sqlite database. In this example we’re usingSqliteDatabase
, but you could also use one of the other database engines.Create a base model class which specifies our database.
class BaseModel(Model): class Meta: database = db
It is good practice to define a base model class which establishes the database connection. This makes your code DRY as you will not have to specify the database for subsequent models.
Model configuration is kept namespaced in a special class called
Meta
. This convention is borrowed from Django. Meta configuration is passed on to subclasses, so our project’s models will all subclass BaseModel. There are many different attributes you can configure using Model.Meta.Define a model class.
class User(BaseModel): username = CharField(unique=True)
Model definition uses the declarative style seen in other popular ORMs like SQLAlchemy or Django. Note that we are extending the BaseModel class so the User model will inherit the database connection.
We have explicitly defined a single username column with a unique constraint. Because we have not specified a primary key, peewee will automatically add an auto-incrementing integer primary key field named id.
Note
If you would like to start using peewee with an existing database, you can use pwiz, a model generator to automatically generate model definitions.
Fields¶
The Field
class is used to describe the mapping of Model
attributes to database columns. Each field type has a corresponding SQL storage class (i.e. varchar, int), and conversion between python data types and underlying storage is handled transparently.
When creating a Model
class, fields are defined as class attributes. This should look familiar to users of the django framework. Here’s an example:
class User(Model):
username = CharField()
join_date = DateTimeField()
about_me = TextField()
There is one special type of field, ForeignKeyField
, which allows you
to represent foreign-key relationships between models in an intuitive way:
class Message(Model):
user = ForeignKeyField(User, related_name='messages')
body = TextField()
send_date = DateTimeField()
This allows you to write code like the following:
>>> print some_message.user.username
Some User
>>> for message in some_user.messages:
... print message.body
some message
another message
yet another message
For full documentation on fields, see the Fields API notes
Field types table¶
| Field Type | Sqlite | Postgresql | MySQL |
|---|---|---|---|
CharField |
varchar | varchar | varchar |
TextField |
text | text | longtext |
DateTimeField |
datetime | timestamp | datetime |
IntegerField |
integer | integer | integer |
BooleanField |
smallint | boolean | bool |
FloatField |
real | real | real |
DoubleField |
real | double precision | double precision |
BigIntegerField |
integer | bigint | bigint |
DecimalField |
decimal | numeric | numeric |
PrimaryKeyField |
integer | serial | integer |
ForeignKeyField |
integer | integer | integer |
DateField |
date | date | date |
TimeField |
time | time | time |
BlobField |
blob | bytea | blob |
UUIDField |
not supported | uuid | not supported |
Field initialization arguments¶
Parameters accepted by all field types and their default values:
null = False
– boolean indicating whether null values are allowed to be storedindex = False
– boolean indicating whether to create an index on this columnunique = False
– boolean indicating whether to create a unique index on this column. See also adding composite indexes.verbose_name = None
– string representing the “user-friendly” name of this fieldhelp_text = None
– string representing any helpful text for this fielddb_column = None
– string representing the underlying column to use if different, useful for legacy databasesdefault = None
– any value to use as a default for uninitialized modelschoices = None
– an optional iterable containing 2-tuples ofvalue
,display
primary_key = False
– whether this field is the primary key for the tablesequence = None
– sequence to populate field (if backend supports it)constraints = None
- a list of one or more constraints, e.g.[Check('price > 0')]
schema = None
– optional name of the schema to use, if your db supports this.
Some fields take special parameters...¶
| Field type | Special Parameters |
|---|---|
CharField |
max_length |
DateTimeField |
formats |
DateField |
formats |
TimeField |
formats |
DecimalField |
max_digits , decimal_places ,
auto_round , rounding |
ForeignKeyField |
rel_model , related_name , to_field ,
on_delete , on_update , extra |
Note
Both default
and choices
could be implemented at the database level as DEFAULT and CHECK CONSTRAINT respectively, but any application change would require a schema change. Because of this, default
is implemented purely in python and choices
are not validated but exist for metadata purposes only.
To add database (server-side) constraints, use the constraints
parameter.
ForeignKeyField¶
ForeignKeyField
is a special field type that allows one model to reference another. Typically a foreign key will contain the primary key of the model it relates to (but you can specify a particular column by specifying a to_field
).
Foreign keys allow data to be normalized. In our example models, there is a foreign key from Tweet
to User
. This means that all the users are stored in their own table, as are the tweets, and the foreign key from tweet to user allows each tweet to point to a particular user object.
In peewee, accessing the value of a ForeignKeyField
will return the entire related object, e.g.:
tweets = Tweet.select(Tweet, User).join(User).order_by(Tweet.create_date.desc())
for tweet in tweets:
print(tweet.user.username, tweet.message)
In the example above the User
data was selected as part of the query. For more examples of this technique, see the Avoiding N+1 document.
If we did not select the User
, though, then an additional query would be issued to fetch the associated User
data:
tweets = Tweet.select().order_by(Tweet.create_date.desc())
for tweet in tweets:
# WARNING: an additional query will be issued for EACH tweet
# to fetch the associated User data.
print(tweet.user.username, tweet.message)
Sometimes you only need the associated primary key value from the foreign key column. In this case, Peewee follows the convention established by Django, of allowing you to access the raw foreign key value by appending "_id"
to the foreign key field’s name:
tweets = Tweet.select()
for tweet in tweets:
# Instead of "tweet.user", we will just get the raw ID value stored
# in the column.
print(tweet.user_id, tweet.message)
DateTimeField, DateField and TimeField¶
The three fields devoted to working with dates and times have special properties which allow access to things like the year, month, hour, etc.
DateField
has properties for:
year
month
day
TimeField
has properties for:
hour
minute
second
DateTimeField
has all of the above.
These properties can be used just like any other expression. Let’s say we have an events calendar and want to highlight all the days in the current month that have an event attached:
# Get the current time.
now = datetime.datetime.now()
# Get days that have events for the current month.
Event.select(Event.event_date.day.alias('day')).where(
(Event.event_date.year == now.year) &
(Event.event_date.month == now.month))
Note
SQLite does not have a native date type, so dates are stored in formatted text columns. To ensure that comparisons work correctly, the dates need to be formatted so they are sorted lexicographically. That is why they are stored, by default, as YYYY-MM-DD HH:MM:SS
.
Creating a custom field¶
It isn’t too difficult to add support for custom field types in peewee. In this example we will create a UUID field for postgresql (which has a native UUID column type).
To add a custom field type you need to first identify what type of column the field data will be stored in. If you just want to add python behavior atop, say, a decimal field (for instance to make a currency field) you would just subclass DecimalField
. On the other hand, if the database offers a custom column type you will need to let peewee know. This is controlled by the Field.db_field
attribute.
Let’s start by defining our UUID field:
class UUIDField(Field):
db_field = 'uuid'
We will store the UUIDs in a native UUID column. Since psycopg2 treats the data as a string by default, we will add two methods to the field to handle:
- The data coming out of the database to be used in our application
- The data from our python app going into the database
import uuid
class UUIDField(Field):
db_field = 'uuid'
def db_value(self, value):
return str(value) # convert UUID to str
def python_value(self, value):
return uuid.UUID(value) # convert str to UUID
Now, we need to let the database know how to map this uuid label to an actual uuid column type in the database. There are 2 ways of doing this:
- Specify the overrides in the
Database
constructor:
db = PostgresqlDatabase('my_db', fields={'uuid': 'uuid'})
- Register them class-wide using
Database.register_fields()
:
# Will affect all instances of PostgresqlDatabase PostgresqlDatabase.register_fields({'uuid': 'uuid'})
That is it! Some fields may support exotic operations, like the postgresql HStore field acts like a key/value store and has custom operators for things like contains and update. You can specify custom operations as well. For example code, check out the source code for the HStoreField
, in playhouse.postgres_ext
.
Creating model tables¶
In order to start using our models, its necessary to open a connection to the database and create the tables first. Peewee will run the necessary CREATE TABLE queries, additionally creating any constraints and indexes.
# Connect to our database.
db.connect()
# Create the tables.
db.create_tables([User, Tweet])
Note
Strictly speaking, it is not necessary to call connect()
but it is good practice to be explicit. That way if something goes wrong, the error occurs at the connect step, rather than some arbitrary time later.
Note
Peewee can determine if your tables already exist, and conditionally create them:
# Only create the tables if they do not exist.
db.create_tables([User, Tweet], safe=True)
After you have created your tables, if you choose to modify your database schema (by adding, removing or otherwise changing the columns) you will need to either:
- Drop the table and re-create it.
- Run one or more ALTER TABLE queries. Peewee comes with a schema migration tool which can greatly simplify this. Check the schema migrations docs for details.
Model options and table metadata¶
In order not to pollute the model namespace, model-specific configuration is placed in a special class called Meta (a convention borrowed from the django framework):
from peewee import *
contacts_db = SqliteDatabase('contacts.db')
class Person(Model):
name = CharField()
class Meta:
database = contacts_db
This instructs peewee that whenever a query is executed on Person to use the contacts database.
Note
Take a look at the sample models - you will notice that we created a BaseModel
that defined the database, and then extended. This is the preferred way to define a database and create models.
Once the class is defined, you should not access ModelClass.Meta
, but instead use ModelClass._meta
:
>>> Person.Meta
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
AttributeError: type object 'Preson' has no attribute 'Meta'
>>> Person._meta
<peewee.ModelOptions object at 0x7f51a2f03790>
The ModelOptions
class implements several methods which may be of use for retrieving model metadata (such as lists of fields, foreign key relationships, and more).
>>> Person._meta.fields
{'id': <peewee.PrimaryKeyField object at 0x7f51a2e92750>, 'name': <peewee.CharField object at 0x7f51a2f0a510>}
>>> Person._meta.primary_key
<peewee.PrimaryKeyField object at 0x7f51a2e92750>
>>> Person._meta.database
<peewee.SqliteDatabase object at 0x7f519bff6dd0>
There are several options you can specify as Meta
attributes. While most options are inheritable, some are table-specific and will not be inherited by subclasses.
| Option | Meaning | Inheritable? |
|---|---|---|
database |
database for model | yes |
db_table |
name of the table to store data | no |
db_table_func |
function that accepts model and returns a table name | yes |
indexes |
a list of fields to index | yes |
order_by |
a list of fields to use for default ordering | yes |
primary_key |
a CompositeKey instance |
yes |
table_alias |
an alias to use for the table in queries | no |
schema |
the database schema for the model | yes |
validate_backrefs |
ensure backrefs do not conflict with other attributes. | yes |
Here is an example showing inheritable versus non-inheritable attributes:
>>> db = SqliteDatabase(':memory:')
>>> class ModelOne(Model):
... class Meta:
... database = db
... db_table = 'model_one_tbl'
...
>>> class ModelTwo(ModelOne):
... pass
...
>>> ModelOne._meta.database is ModelTwo._meta.database
True
>>> ModelOne._meta.db_table == ModelTwo._meta.db_table
False
Indexes and Unique Constraints¶
Peewee can create indexes on single or multiple columns, optionally including a UNIQUE constraint.
Single column indexes are defined using field initialization parameters. The following example adds a unique index on the username field, and a normal index on the email field:
class User(Model):
username = CharField(unique=True)
email = CharField(index=True)
Multi-column indexes are defined as Meta attributes using a nested tuple. Each database index is a 2-tuple, the first part of which is a tuple of the names of the fields, the second part a boolean indicating whether the index should be unique.
class Transaction(Model):
from_acct = CharField()
to_acct = CharField()
amount = DecimalField()
date = DateTimeField()
class Meta:
indexes = (
# create a unique on from/to/date
(('from_acct', 'to_acct', 'date'), True),
# create a non-unique on from/to
(('from_acct', 'to_acct'), False),
)
Note
Remember to add a trailing comma if your tuple of indexes contains only one item:
class Meta:
indexes = (
(('first_name', 'last_name'), True), # Note the trailing comma!
)
Non-integer Primary Keys, Composite Keys and other Tricks¶
Non-integer primary keys¶
If you would like use a non-integer primary key (which I generally don’t recommend), you can specify primary_key=True
when creating a field. When you wish to create a new instance for a model using a non-autoincrementing primary key, you need to be sure you save()
specifying force_insert=True
.
from peewee import *
class UUIDModel(Model):
id = UUIDField(primary_key=True)
Auto-incrementing IDs are, as their name says, automatically generated for you when you insert a new row into the database. When you call save()
, peewee determines whether to do an INSERT versus an UPDATE based on the presence of a primary key value. Since, with our uuid example, the database driver won’t generate a new ID, we need to specify it manually. When we call save() for the first time, pass in force_insert = True
:
# This works because .create() will specify `force_insert=True`.
obj1 = UUIDModel.create(id=uuid.uuid4())
# This will not work, however. Peewee will attempt to do an update:
obj2 = UUIDModel(id=uuid.uuid4())
obj2.save() # WRONG
obj2.save(force_insert=True) # CORRECT
# Once the object has been created, you can call save() normally.
obj2.save()
Note
Any foreign keys to a model with a non-integer primary key will have a ForeignKeyField
use the same underlying storage type as the primary key they are related to.
Composite primary keys¶
Peewee has very basic support for composite keys. In order to use a composite key, you must set the primary_key
attribute of the model options to a CompositeKey
instance:
class BlogToTag(Model):
"""A simple "through" table for many-to-many relationship."""
blog = ForeignKeyField(Blog)
tag = ForeignKeyField(Tag)
class Meta:
primary_key = CompositeKey('blog', 'tag')
Manually specifying primary keys¶
Sometimes you do not want the database to automatically generate a value for the primary key, for instance when bulk loading relational data. To handle this on a one-off basis, you can simply tell peewee to turn off auto_increment
during the import:
data = load_user_csv() # load up a bunch of data
User._meta.auto_increment = False # turn off auto incrementing IDs
with db.transaction():
for row in data:
u = User(id=row[0], username=row[1])
u.save(force_insert=True) # <-- force peewee to insert row
User._meta.auto_increment = True
If you always want to have control over the primary key, simply do not use the PrimaryKeyField
field type, but use a normal IntegerField
(or other column type):
class User(BaseModel):
id = IntegerField(primary_key=True)
username = CharField()
>>> u = User.create(id=999, username='somebody')
>>> u.id
999
>>> User.get(User.username == 'somebody').id
999
Models without a Primary Key¶
If you wish to create a model with no primary key, you can specify primary_key = False
in the inner Meta
class:
class MyData(BaseModel):
timestamp = DateTimeField()
value = IntegerField()
class Meta:
primary_key = False
This will yield the following DDL:
CREATE TABLE "mydata" (
"timestamp" DATETIME NOT NULL,
"value" INTEGER NOT NULL
)
Self-referential foreign keys¶
When creating a heirarchical structure it is necessary to create a self-referential foreign key which links a child object to its parent. Because the model class is not defined at the time you instantiate the self-referential foreign key, use the special string 'self'
to indicate a self-referential foreign key:
class Category(Model):
name = CharField()
parent = ForeignKeyField('self', null=True, related_name='children')
As you can see, the foreign key points upward to the parent object and the back-reference is named children.
Attention
Self-referential foreign-keys should always be null=True
.
When querying against a model that contains a self-referential foreign key you may sometimes need to perform a self-join. In those cases you can use Model.alias()
to create a table reference. Here is how you might query the category and parent model using a self-join:
Parent = Category.alias()
GrandParent = Category.alias()
query = (Category
.select(Category, Parent)
.join(Parent, on=(Category.parent == Parent.id))
.join(GrandParent, on=(Parent.parent == GrandParent.id))
.where(GrandParent.name == 'some category')
.order_by(Category.name))
Circular foreign key dependencies¶
Sometimes it happens that you will create a circular dependency between two tables.
Note
My personal opinion is that circular foreign keys are a code smell and should be refactored (by adding an intermediary table, for instance).
Adding circular foreign keys with peewee is a bit tricky because at the time you are defining either foreign key, the model it points to will not have been defined yet, causing a NameError
.
class User(Model):
username = CharField()
favorite_tweet = ForeignKeyField(Tweet, null=True) # NameError!!
class Tweet(Model):
message = TextField()
user = ForeignKeyField(User, related_name='tweets')
One option is to simply use an IntegerField
to store the raw ID:
class User(Model):
username = CharField()
favorite_tweet_id = IntegerField(null=True)
By using Proxy
we can get around the problem and still use a foreign key field:
# Create a proxy object to stand in for our as-yet-undefined Tweet model.
TweetProxy = Proxy()
class User(Model):
username = CharField()
# Tweet has not been defined yet so use the proxy.
favorite_tweet = ForeignKeyField(TweetProxy, null=True)
class Tweet(Model):
message = TextField()
user = ForeignKeyField(User, related_name='tweets')
# Now that Tweet is defined, we can initialize the proxy object.
TweetProxy.initialize(Tweet)
After initializing the proxy the foreign key fields are now correctly set up. There is one more quirk to watch out for, though. When you call create_table
we will again encounter the same issue. For this reason peewee will not automatically create a foreign key constraint for any deferred foreign keys.
Here is how to create the tables:
# Foreign key constraint from User -> Tweet will NOT be created because the
# Tweet table does not exist yet. `favorite_tweet` will just be a regular
# integer field:
User.create_table()
# Foreign key constraint from Tweet -> User will be created normally.
Tweet.create_table()
# Now that both tables exist, we can create the foreign key from User -> Tweet:
db.create_foreign_key(User, User.favorite_tweet)


Monster Project
This program was assigned as homework in my intro game development class. Different types of monsters traverse the screen with different behaviors. One monster wraps to the other side of the screen when it hits a wall, one bounces off of walls, one moves in a set pattern, one moves in a random path, and one is controlled by the player. This project shows the diversity of behaviors that a program can create in such similar objects.


{% extends "base.html" %} {% block content %}
There are over 300 stations in the Citibike system. Which stations should be prioritized for rebalancing? The red markers show the stations that should be the highest priority for rebalancing.
The blue markers show the most central full stations.
There are 330 Citibike stations currently in the system, and Citibike plans to grow to over 600 stations. This makes the already challenging problem of rebalancing even more so: of all empty stations, which ones should be rebalanced first?
This is an attempt to solve that problem. First, empty stations are clustered into geographical k-means clusters. Next, each cluster is represented as a network graph. The most central nodes of each graph are selected and displayed on the map and in the tables on the other tabs.
This was made by Ben. You can read more about the idea behind the system here.


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Decription for 3rd slide
The background images for the slider are set directly in the HTML using inline CSS.
You will see code here next
これが全部日本語で
クリクお願いします
This is other stuff


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Extra-time goal keeps Harps in the Premier Division
Finn Harps 2 - 0 Drogheda United
Finn Harps win 2-1 on aggregate
Finn Harps will play in the Premier Division next season after coming out on top in an absorbing promotion/relegation play-off final second-leg mud-battle at Finn Park, Ballybofey.
Not since 2013 has a Premier Division side won this make-or-break play-off, but Ollie Horgan’s side triumphed thanks to goals from Mark Russell in the first half and an extra-time match-winner from Harry Ascroft to spark of scenes of delight from the majority in the 2,113 attendance.
This was Harps’ third promotion/relegation play-off decider since Horgan took charge back in 2013 – and his third success.
But spare a thought for battling Drogheda who must now face First Division football again next season.
The Louth side who went into the game with a 1-0 lead from the first-leg at United Park on Monday, were a goal down at the break as Harps were much the better team in the first-half..
The attack minded Donegal side began positively and went ahead on seven minutes when following a short corner veteran Raffaele Cretaro found Ruairi Harkin outside the box and his teasing ball in was met by the Mark Russell who climbed above the Drogheda defence to head powerfully beyond the reach of Luca Gratzer.
And on 19 minutes Russell almost got a second as, unmarked, he sent a looping header, from a corner, just past the upright.
The home side had the upper hand for the rest of the half, with the inspirational Ruairi Harkin’s probing crosses causing Drogheda a couple of problems.
Indeed, Harps went within inches of doubing their tally in the 39thminute when Sam Todd met a Timlin corner only to see his effort fly just over the upright.
Moments later Harry Ascroft attempted a spectacular overhead kick but having done the hard part, the shot lacked force and was capably collected by Gratzer.
Drogheda’s first real chance did not materialise until the 64th when Mark Doyle’s shot was smartly saved by Mark Anthony McGinley.
The final 20 minutes was nerve-wracking stuff with players, slipping and sliding on a muddy pitch plucked from the 70s.
Twice in the final six minutes, Mark Doyle had chances for Drogheda but on both occasions McGinley was well placed to make the saves.
The first half of extra-time so no real clear-cut chances as the players grappled with the conditions.
But at the start of the second half, Harps got the all-important second goal as Harry Ascroft got onto the end of a Tony McNamee corner to score from close range.
Drogheda had some late chances but Harps held on.
Finn Harps: McGinley; Borg, Ascroft, Cowan, Todd, Russell; R. Harkin (McNamee, 93 mins), G. Harkin, Timlin; Cretaro (Coyle, 90 mins, inj, replaced by O’Reilly ,103 mins ), Place (Boyle, 73 mins).
Drogheda United: Gratzer; Brown, McNally, Farragher, Kane; Hughes (Adeyemo, 96 mins); Meaney (Wixted, half-time), Brennan (Hollywood, 61 mins), Heeney, Doyle; Lyons O’Shea (121 mins)
Referee: N. Doyle (Dublin).


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{%extends 'index.html'%} {%load static%}
{%block content%}| Products | Contact | |
|---|---|---|
| LEO control panels, LEO Auto switch, BK deepak's Motor Starters, all products of ABM INSTRUMENTS,SONTUNE'S Contactors RCCB and all other products. For all the above products contact | +91<PHONE_NUMBER> |<EMAIL_ADDRESS>|


The other day I was looking for some Advil for a bad headache I was having when I found some old Hydrocodone pills from when I dislocated my shoulder snowboarding. My parents had been holding on to them and I guess had simply forgotten about them. Being that I couldn’t find anything else that might help my headache, I decided that it wouldn’t be so bad if I took the Hydrocodone.
(9:00 pm) - I decided to take what was left of the bottle which was three 7.5 mg pills. I took them with a cold glass of water and then sat on my couch and watch some TV while I waited from my head ache to go away.
(9:32 pm) – About a half hour later my headache just faded away and then I got this sudden tingly feeling in my stomach, which I felt marked the beginning of the high for me. At first I was afraid that the stomach feeling would turn into nausea, but instead it slowly evolved into a nice warm feeling the enveloped my whole body.
(9:52 pm) - I began to feel very calm, relaxed, drowsy, and wanted to take a nap but decided I would rather stay awake and further experience the high. Also, my parents had just gotten home at this time so I wanted to try and avoid them in case the high got too intense. So, I got up and walked down into my basement to play on the computer for a little while.
(10:50 pm) – After being on the computer for a little while the high really kicking in, yet surprisingly my mind felt very open and I could think very clearly. I found that I was able to be totally normal around my parents who didn’t seem to notice my current “state of mind”. The high was not so much a mental high but more like this euphoric mood that came along with a natural sense of all around comfort and safety. The only bad side to the high was a somewhat annoying itch that seemed to come and go around different parts of my body. Also, I was very drowsy which made It hard to concentrate and stay awake at times.
(11:20 pm) – At this time I gave in to the drowsiness and went to my room to sleep. I decide that it would be a good idea to fall asleep listening to my iPod. This ended up being the best part of my high by far. I was able to feel a maximum level of comfort all over my body lying in my warm bed and I was able to just let my mind go as I listen to my music. The music sounded amazing and kept me awake just enough so that I entered this wired mental state. It was like I was asleep but conscious at the same time, almost like being half awake but with a much clearer mind. I think that I might have been meditating without even meaning to.
(6:00 am)- This lasted what felt like forever when I suddenly the thought popped into my head that I should charge my iPod for school in the morning. When I got up to put my iPod in its charger, I looked at the clock and it was already 5:48 am. I hadn’t really felt like I slept that night yet in the morning I felt completely rested and wasn’t drowsy in the least. The high was long gone but I still pretty good.
Other than a slight stomachache, I felt completely fine and was able to function normally in school the next day. Although the experience with hydrocodone was great for me and I would love to do it again, I was glad that I didn’t have any pills left after that. I had no trouble seeing why hydrocodone would become addictive. This experience, as well as when used hydrocodone for when my shoulder was dislocated, have showed me how this drug can easily become an addictive problem. I’m glad that I didn’t have any access to more of it after this experience because I could easily have kept taking it afterward. To anybody who is planning to take hydrocodone for recreational uses, I suggest keeping the dosage low and only using it once a week. Also, eat some food after taking them to lessen the chance of nausea.
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.


{% extends 'base.html' %} {% block main %}
By deactivating the "public data sharing" feature you will also mark all of your data files as private.


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4/25/19
Meagan Hall | DIRECTOR OF PHOTOGRAPHY
About 40 demonstrators marched around campus Oct. 19, 2019, during the seventh annual F--k Rape Culture demonstration. They made demands to the university that included harsher punishments for sexual assault perpetrators.
Emilee Chinn | PHOTO EDITOR
(From left) Cody Shanklin, Hannah Burke and Mallory Golski stand in front of the crowd of demonstrators during the "It's On Us, Bobcats" rally against sexual assault on College Green on Sep. 27, 2018. The rally was held in response to a series of reports of rape and sexual imposition that have been reported to the Ohio University Police Department and Athens Police Department since August 25.
Anthony Warner | FOR THE POST
Elizarni, a doctoral student studying educational leadership, participates in a candlelight vigil at the 2018 Interfaith Peace Walk. About 100 OU students and Athens Residents were at the 9/11 peace walk, which honored people who died during the terrorist attacks.
Meagan Hall | DIRECTOR OF PHOTOGRAPHY
Sally Sugar, an Ohio University alumna, cries during a speaker at a demonstration outside of Cutler Hall. The demonstration was held after the unexpected dismissal of delfin bautista, the LGBT Center Director. bautista will remain on paid administrative leave until June 30, 2019. The LGTB center will continue operations during this time.
Emilee Chinn | PHOTO EDITOR
delfin bautista, who uses they/them pronouns and does not capitalize letters in their name, speaks to about 60 people after they were removed as the director of the LGBT Center. Members of the group, which included Ohio University students, faculty and Athens residents, spoke about bautista’s impact and criticized the university’s unexpected and hasty decision to remove bautista from their position.
Hannah Ruhoff | PHOTO EDITOR
Junior Jordyn Zimmerman lights President Duane Nellis's candle during a candlelight vigil on Oct. 29, 2018 held in honor of the victims of the shooting at Tree of Life Synagogue in Pittsburgh.
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Eve Faction Warfare Dashboard
Help and FAQ
Other FW sites:
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Strictly star Kelvin Fletcher's brutal take down of former co-star Roxanne Pallett
Kelvin Fletcher has won an army of new fans following his stunning Strictly performances but there's no love lost between him and his former Emmerdale co-star
by Jane Lavender, Will Twigger, https://www.facebook.com/dailymirror/, https://www.mirror.co.uk/authors/will-twigger/For years, they shared the screen as a troubled young couple in Emmerdale.
But it seems there is no love lost between Strictly's Kelvin Fletcher and his former soap co-star Rozanne Pallett.
Kelvin's character, Andy Sugden, embarked on a passionate affair with Jo Stiles, played by Roxanne.
It ended his first marriage to Katie and the pair eventually tied the knot while he was serving jail time for starting the fire that killed his adoptive mum, Sarah.
It was far from plain sailing for the young couple with them at the centre of a hard hitting domestic abuse storyline.
Andy repeatedly hits Jo and the couple finally separate for good and she leaves the Dales.
But it seems the years of sharing lines and screen time was not always pleasant.
When Roxanne became embroiled in a huge Celebrity Big Brother row, Kelvin was far from on her side.
Roxanne, now engaged to Married At First Sight star Jason Carrion, claimed she was "scared" in the CBB house following a playful punch for housemate Ryan Thomas.
Roxanne claimed Ryan punched her in the ribs "like a boxer" and called him a "woman beater" before asking Big Brother to call her to the diary room.
She asked to speak to a producer about the incident off camera and later asked to sleep in a separate room.
Big Brother gave Ryan a 'formal warning' after reviewing the footage and claimed that "while almost play fighting you punched Roxanne in the ribs".
Roxanne was accused of exaggerating what had happened and all but retired from public life following the public uproar that followed.
And her former on screen husband, Kelvin, had some brutal words for his former co-star.
Branding her "evil", he firmly sided with Ryan Thomas following the incident.
In a furious Twitter rant, Kelvin said: "Poor Ryan looks broken. What about HIS mental health.
"She's not 'mentally ill' or in need of 'help'. This denounces that people with actual mental health issues are as vindictiveand menacing as her.
"They are not. There is a big difference. That was calculated and manipulative beyond beliefe.
"She. Is. Evil."
Kelvin seems to have put the row firmly behind him as he continues to dominate the Strictly leaderboard.
The former Emmerdale star has won himself a legion of new fans and wowed the judges with his performances.
Kelvin is now one of the favourites to walk away with the Glitterball trophy.
Kelvin has been pushing himself to the limit in his bid for victory with 5am work-outs and 12 hour training sessions with partner Oti Mabuse.
The actor has also increased his calories intake to 3,000 a day and makes sure he drinks up to four litres of water a day.
Kelvin said: "I’m on my feet all day. It’s quite tiring, so I’ve always been quite pro carbs – I think they’re a great thing. I probably eat about 300-350g of carbs a day.
"About 160g of protein, about 60-80g of fat, which I think is about 2,500-3,000 calories.
"Carbs get a bad press, but they’re pretty important. I’ve stayed pretty lean, I’m about five kilos lighter than I was a couple of months ago.
"Which is fine, I think – it helps with the dancing."
Kelvin is taught his dance moves on Monday and he makes sure he knows the routine by Tuesday lunch time so he and Oti can spend the rest of the week perfecting it.


C9 GIRLZ's Hemi is gearing up for debut
by sl278C9 GIRLZ's debut is coming and Hemi is the second member to show off her individual teaser material. Semi was born on April 10, 2002, and has a height of 166cm (5'5") and a weight of 46kg (101 lbs).
The charming and elegant idol to be definitely made an impact with her black dress and accessories, piquing fans' interests who are waiting for more.
Check the video and the rest of the images out below.


--- layout: post title: Guitar date: '2016-07-21T18:30:33+02:00' categories: - Sketches - Storyboards picture_url: https://film-Storyboards.tumblr.com/post/147770119987 ---
Watercolor storyboard.


Tim Sherwood questions Gareth Southgate over continued Jack Grealish absence
by Tom ProcterFormer Aston Villa manager Tim Sherwood believes England boss Gareth Southgate is missing a trick not picking Jack Grealish.
The Three Lions boss upset a section of the Villa faithful once again by ignoring their captain for the latest Euro 2020 qualifiers against Montenegro and Kosovo, despite a brilliant run of games that saw him nominated for Premier League Player of the Month.
The midfielder has seemingly been knocking at the door, but Southgate has so far resisted temptation, and Sherwood cannot comprehend it.
The 50-year-old, who worked with Grealish for eight months at Villa Park, said on the Alan Brazil Sports Breakfast show: “For me, England have missed the boat with Jack Grealish.
“This kid is something different, the ball is his friend – 100 percent they missed the boat on him.
“This kid is special. He creates a mêlée around him, he sees the pass and realises it at the right time.
“Yes, he’s got to add more goals to his game, he won’t ever score as many goals as Mason Mount will, but what he does is he realises players with freedom because he creates such a crowd around him.”
TBR’s view – Pressure on for Grealish
With England’s Euro 2020 qualifying campaign now done and dusted, there are only two more friendly matches to go before next summer’s finals.
The pressure will definitely be on for Grealish now given the few international chances in the offing.
The odds of him getting a seat on the plane are probably against him at this point, especially given the wealth of midfield options available to Southgate.
All he can do is give his all, and perhaps the manager will throw the currently uncapped star an opportunity next March.
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benchbuild.experiments package¶
Experiments module.
Experiments are discovered automatically by benchbuild. You can configure the modules we search for experiments with the settings:
BB_PLUGINS_AUTOLOAD=True BB_PLUGINS_EXPERIMENTS=[…]
Any subclass of benchbuild.experiments.Experiment will be automatically registered and made available on the command line.
-
benchbuild.experiments.
discover
()[source]¶ Import all experiments listed in PLUGINS_EXPERIMENTS.
- Tests:
>>> from benchbuild.settings import CFG >>> from benchbuild.experiments import discover >>> import logging as lg >>> import sys >>> l = lg.getLogger('benchbuild') >>> lg.getLogger('benchbuild').setLevel(lg.DEBUG) >>> lg.getLogger('benchbuild').handlers = [lg.StreamHandler(stream=sys.stdout)] >>> CFG["plugins"]["experiments"] = ["benchbuild.non.existing", "benchbuild.experiments.raw"] >>> discover() Could not find 'benchbuild.non.existing' ImportError: No module named 'benchbuild.non'


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Sheng Jiang
Taste: Spicy
Temperature: Warm
Organs: Lung, Spleen, Stomach
Actions: Opens the pores and expel Wind-Cold. Warms the Spleen, Stomach, and Lungs. Reduces the toxicity of toxic substances.
Formulas: Gui Zhi Tang


7
1 It is better that other people honor us than to have fine perfume.
The day that we die is better than the day that we are born.
2 It is better to go to a house where people are mourning about someone who has died
than to go to a house where people are feasting,
because everyone will die some day,
and people should think about when they will die.
3 It is better to be sad than to be always laughing,
because when we are sad, we can think better about the things that will make us wise and happy.
4 Wise people go to where others are mourning to comfort them,
but foolish people only search for those who are laughing.
5 It is better to pay attention to someone who is rebuking you
than to listen to the songs of a foolish person.
6 By listening to foolish people laughing
we will not learn anymore than by listening to the crackling of thorns being burned under a pot.
Listening to fools is senseless.
7 When wise people say to others, "You must pay me a lot of money for me to protect you,"
that causes those wise people to become foolish.

There are lasting benefits for anyone on earth who is wise.
12 We are sometimes protected by being wise,
as we are sometimes protected by having a lot of money.
However, being wise is better than having a lot of money,
because being wise prevents us from doing foolish things that would cause us to die.
13 Think carefully about what God has done.
Certainly no one can cause to become straight
the things that God has caused to be crooked.
14 When things are going well for you, be happy,
and when things are not going well for you,
remember that God is the one who causes good things to happen
and who also causes disasters.
Yet God does not reveal to anyone exactly what his future holds.
15 During all the time that I have been alive I have seen many things that seem senseless.
I have seen righteous people die while they were still young,
and I have seen wicked people remain alive for a very long time
in spite of their continuing to be wicked.
16 So do not think that you are very righteous,
and do not think that you are very wise,
because if you think those things, you will destroy yourself.
17 If you do what is evil or do what is foolish,
you might die while you are still young.
18 Continue to try to become wise and do what is right.
Both of those things are found in the person who always respects God.
19 If you are wise, you will be more powerful
than the ten most powerful men in your city.
20 There is no one in this world who always does what is right,
who never sins.
21 Do not pay attention to everything that people say,
because if you do that, you might hear your servant curse you.
22 After all, you yourself know very well that you have also cursed other people.
23 I said to myself that I would use my wisdom to study all the things that I have written about,
but I was not able to do it.
24 Wisdom seems to be far from me.
There is no one who can truly understand everything.
25 But I decided to investigate things and
by my wisdom try to understand the reason for everything.
I also wanted to understand why people act wickedly
and why they act very foolishly.
26 One thing I learned was that allowing a woman to seduce you is worse than dying.
A woman who tries to seduce men is as dangerous as a trap.
If you allow her to put her arms around you, it will be as though she is fastening you with chains.
Women like that will capture sinful men,
but men who please God will escape from such women.
27 This is what I have learned. I tried to learn more and more about things to try to find out the reason for everything,
28 and I continued to try to learn more, but I could not find all that I was searching for. But one thing that I found out was that among one thousand people I found one righteous man, but I did not find even one righteous woman.
29 I have learned only this: that when God created people, they were righteous, but they have found many ways to complicate their own lives.


home
Ryan is a designer.
He can build
This is spindog. Spindog is a toy that you play with at your desk when you have to listen to someone who is boring.
Spindog is great in the bathroom too!
I am a designer currently studying
industrial design
at
RISD
. I am President at
RISD STEAM
, and am working on an independent research project with
Munehiko Sato
from the
Media Lab
at
MIT
. I am thinking a lot about play right now.
Say hi:
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twitter
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web-log
,
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WITNESS LIST Land & Resource Management Committee April 23, 2003-8:00A HB 1866 For: Doherty, Dan (City of Houston) Heyer, Connie (Texas Community Associations Institute) HB 2049 Against: Crolley, Bill (Texas Chapter of the American Planning Assoc.) Mower, Russ (Building Officials Association of Texas) Registering, but not testifying: For: Heyer, Connie (Texas Mini Storage Assn.) Mintz, David (Texas Apartment Assn.) HB 2050 Registering, but not testifying: For: Heyer, Connie (Texas Mini Storage Assn.) Mintz, David (Texas Apartment Association) HB 2632 On: Easley, Mike (Office of Rural Community Affairs) Registering, but not testifying: For: Knaupe, Gregg (Texas Hospital Association) On: Berry, Connie (Texas Department of Health) HB 2761 For: Geldens, Anthony (Self) Harding, James C. (Self) Rekeweg, Alice (Self) Against: Doherty, Dan (City of Houston) HB 2781 For: Mohn, Jerry (West Galveston Island Property Owners Assoc., Galveston County Beach Erosion Task Force) Patterson, Jerry (TX General Land Office) On: Peacock, Bill (General Land Office) Registering, but not testifying: For: Schwartz, A.R. (Self) Utter, Tom (Self and City of Corpus Christi) On: Fisher, Eddie R. (Texas General Land Office Coastal Stewardship Division) SB 363 On: Lewis, Al (Office of Rural Community Affairs) SB 641 For: Patterson, Jerry (TX General Land Office) On: Hansen, Ingrid K. (Texas General Land Office)


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