Package redempt.redlib.sql
Class SQLHelper
java.lang.Object
redempt.redlib.sql.SQLHelper
- All Implemented Interfaces:
java.io.Closeable
,java.lang.AutoCloseable
public class SQLHelper
extends java.lang.Object
implements java.io.Closeable
Wraps a
Connection
and offers helpful methods that don't need to be surrounded in a try/catch-
Nested Class Summary
Nested Classes Modifier and Type Class Description static class
SQLHelper.Results
Wraps aResultSet
with easier use -
Constructor Summary
Constructors Constructor Description SQLHelper(java.sql.Connection connection)
Constructs a SQLHelper from a Connection. -
Method Summary
Modifier and Type Method Description void
clearAllCaches()
CallsSQLCache.clear()
on all caches owned by this SQLHelpervoid
close()
Closes the underlying connection this SQLHelper wrapsvoid
commit()
Flushes all caches and commits the transactionSQLCache
createCache(java.lang.String tableName, java.lang.String columnName, java.lang.String... primaryKeyNames)
Creates and adds cache for a certain columnvoid
execute(java.lang.String command, java.lang.Object... fields)
Executes a SQL query as a prepared statement, setting its fields to the elements of the vararg passedvoid
flushAllCaches()
CallsSQLCache.flush()
on all caches owned by this SQLHelpervoid
flushAndRemoveFromMatchingCaches(java.lang.String pattern, java.lang.Object... primaryKeys)
Finds matching caches by a pattern and flushes, then removes a specific entry from them.void
flushMatchingCaches(java.lang.String pattern, java.lang.Object... primaryKeys)
Finds matching caches by a pattern and flushes a specific entry from them.java.util.List<SQLCache>
getCaches()
java.sql.Connection
getConnection()
java.util.List<SQLCache>
getMatchingCaches(java.lang.String pattern)
Gets the caches matching a patternboolean
isAutoCommit()
static java.sql.Connection
openMySQL(java.lang.String ip, int port, java.lang.String username, java.lang.String password, java.lang.String database)
Opens a connection to a MySQL databasestatic java.sql.Connection
openMySQL(java.lang.String username, java.lang.String password, java.lang.String database)
Opens a connection to a MySQL database at localhost:3306static java.sql.Connection
openSQLite(java.nio.file.Path file)
Opens a SQLite database filejava.sql.PreparedStatement
prepareStatement(java.lang.String query, java.lang.Object... fields)
Prepares a statement, setting its fields to the elements of the vararg passed<T> java.util.List<T>
queryResultList(java.lang.String query, java.lang.Object... fields)
Executes a SQL query as a prepared statement, setting its fields to the elements of the vararg passed, returning a list of values in the first column of each row in the resultsSQLHelper.Results
queryResults(java.lang.String query, java.lang.Object... fields)
Executes a SQL query as a prepared statement, setting its fields to the elements of the vararg passed.java.util.List<java.lang.String>
queryResultStringList(java.lang.String query, java.lang.Object... fields)
Executes a SQL query as a prepared statement, setting its fields to the elements of the vararg passed, returning a String list of values in the first column of each row in the results<T> T
querySingleResult(java.lang.String query, java.lang.Object... fields)
Executes a SQL query as a prepared statement, setting its fields to the elements of the vararg passed, returning the value in the first column of the first row in the resultsjava.lang.Long
querySingleResultLong(java.lang.String query, java.lang.Object... fields)
Executes a SQL query as a prepared statement, setting its fields to the elements of the vararg passed, returning the value in the first column of the first row in the results as a Long.java.lang.String
querySingleResultString(java.lang.String query, java.lang.Object... fields)
Executes a SQL query as a prepared statement, setting its fields to the elements of the vararg passed, returning the value in the first column of the first row in the results as a String.void
removeFromMatchingCaches(java.lang.String pattern, java.lang.Object... primaryKeys)
Finds matching caches by a pattern and removes a specific entry from them.void
setAutoCommit(boolean autoCommit)
Sets the wrapped connection's auto-commit property.void
setCommitInterval(int ticks)
Starts a task to call commit() on this SQLHelper every n ticks.Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
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Constructor Details
-
SQLHelper
public SQLHelper(java.sql.Connection connection)Constructs a SQLHelper from a Connection. Get the Connection using one of the static SQLHelper open methods.- Parameters:
connection
- The SQL Connection to wrap
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Method Details
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openSQLite
public static java.sql.Connection openSQLite(java.nio.file.Path file)Opens a SQLite database file- Parameters:
file
- The path to the SQLite database file- Returns:
- The Connection to this SQLite database
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openMySQL
public static java.sql.Connection openMySQL(java.lang.String ip, int port, java.lang.String username, java.lang.String password, java.lang.String database)Opens a connection to a MySQL database- Parameters:
ip
- The IP address to connect toport
- The port to connect tousername
- The username to log in withpassword
- The password to log in withdatabase
- The database to use, will be created if it doesn't exist- Returns:
- The Connection to the MySQL database
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openMySQL
public static java.sql.Connection openMySQL(java.lang.String username, java.lang.String password, java.lang.String database)Opens a connection to a MySQL database at localhost:3306- Parameters:
username
- The username to log in withpassword
- The password to log in withdatabase
- The database to use, will be created if it doesn't exist- Returns:
- The Connection to the MySQL database
-
createCache
public SQLCache createCache(java.lang.String tableName, java.lang.String columnName, java.lang.String... primaryKeyNames)Creates and adds cache for a certain column- Parameters:
tableName
- The name of the table to create the cache forcolumnName
- The name of the column to create the cache forprimaryKeyNames
- The primary keys used to access and mutate the column- Returns:
- The cache
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flushMatchingCaches
public void flushMatchingCaches(java.lang.String pattern, java.lang.Object... primaryKeys)Finds matching caches by a pattern and flushes a specific entry from them.- Parameters:
pattern
- The pattern used forgetMatchingCaches(String)
primaryKeys
- The primary keys used to access the entry
-
removeFromMatchingCaches
public void removeFromMatchingCaches(java.lang.String pattern, java.lang.Object... primaryKeys)Finds matching caches by a pattern and removes a specific entry from them. Useful for saving targeted cached rows when a column in a certain table is changed- Parameters:
pattern
- The pattern used forgetMatchingCaches(String)
primaryKeys
- The primary keys used to access the entry
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flushAndRemoveFromMatchingCaches
public void flushAndRemoveFromMatchingCaches(java.lang.String pattern, java.lang.Object... primaryKeys)Finds matching caches by a pattern and flushes, then removes a specific entry from them.- Parameters:
pattern
- The pattern used forgetMatchingCaches(String)
primaryKeys
- The primary keys used to access the entry
-
getMatchingCaches
Gets the caches matching a pattern- Parameters:
pattern
- The pattern to match. Should be formatted as "tableName.primaryKeyColumnName". Use * to indicate all for either tableName or columnName. Use | to indicate or. Primary key column name matches any primary key with the given column name. Useful if you are updating a value in a table and want to flush/remove targeted values from the cache. Example: *.name|team- Returns:
- The list of matching caches
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getCaches
- Returns:
- The list of caches for this SQLHelper
-
flushAllCaches
public void flushAllCaches()CallsSQLCache.flush()
on all caches owned by this SQLHelper -
clearAllCaches
public void clearAllCaches()CallsSQLCache.clear()
on all caches owned by this SQLHelper -
execute
public void execute(java.lang.String command, java.lang.Object... fields)Executes a SQL query as a prepared statement, setting its fields to the elements of the vararg passed- Parameters:
command
- The SQL command to executefields
- A vararg of the fields to set in the prepared statement
-
querySingleResult
public <T> T querySingleResult(java.lang.String query, java.lang.Object... fields)Executes a SQL query as a prepared statement, setting its fields to the elements of the vararg passed, returning the value in the first column of the first row in the results- Type Parameters:
T
- The type to cast the return value to- Parameters:
query
- The SQL query to executefields
- A vararg of the fields to set in the prepared statement- Returns:
- The value in the first column of the first row of the returned results, or null if none is present
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querySingleResultString
public java.lang.String querySingleResultString(java.lang.String query, java.lang.Object... fields)Executes a SQL query as a prepared statement, setting its fields to the elements of the vararg passed, returning the value in the first column of the first row in the results as a String.- Parameters:
query
- The SQL query to executefields
- A vararg of the fields to set in the prepared statement- Returns:
- The String in the first column of the first row of the returned results, or null if none is present
Note: This method exists because
ResultSet.getObject(int)
can return an Integer if the String in the column can be parsed into one.
-
querySingleResultLong
public java.lang.Long querySingleResultLong(java.lang.String query, java.lang.Object... fields)Executes a SQL query as a prepared statement, setting its fields to the elements of the vararg passed, returning the value in the first column of the first row in the results as a Long.- Parameters:
query
- The SQL query to executefields
- A vararg of the fields to set in the prepared statement- Returns:
- The String in the first column of the first row of the returned results, or null if none is present
Note: This method exists because
ResultSet.getObject(int)
can return an Integer if the Long in the column can be parsed into one.
-
queryResultList
public <T> java.util.List<T> queryResultList(java.lang.String query, java.lang.Object... fields)Executes a SQL query as a prepared statement, setting its fields to the elements of the vararg passed, returning a list of values in the first column of each row in the results- Type Parameters:
T
- The type to populate the list with and return- Parameters:
query
- The SQL query to executefields
- A vararg of the fields to set in the prepared statement- Returns:
- A list of the value in the first column of each row returned by the query
-
queryResultStringList
public java.util.List<java.lang.String> queryResultStringList(java.lang.String query, java.lang.Object... fields)Executes a SQL query as a prepared statement, setting its fields to the elements of the vararg passed, returning a String list of values in the first column of each row in the results- Parameters:
query
- The SQL query to executefields
- A vararg of the fields to set in the prepared statement- Returns:
- A String list of the value in the first column of each row returned by the query
Note: This method exists because
ResultSet.getObject(int)
can return an Integer if the String in the column can be parsed into one.
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queryResults
Executes a SQL query as a prepared statement, setting its fields to the elements of the vararg passed. Returns aSQLHelper.Results
, which wraps aResultSet
for easier use- Parameters:
query
- The SQL query to executefields
- A vararg of the fields to set in the prepared statement- Returns:
- The results of the query
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getConnection
public java.sql.Connection getConnection()- Returns:
- The Connection this SQLHelper wraps
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setAutoCommit
public void setAutoCommit(boolean autoCommit)Sets the wrapped connection's auto-commit property. Calling this method will automatically disable the task started bysetCommitInterval(int)
.- Parameters:
autoCommit
- The auto-commit property - whether it will commit with every command
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isAutoCommit
public boolean isAutoCommit()- Returns:
- The auto-commit property of the wrapped connection
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setCommitInterval
public void setCommitInterval(int ticks)Starts a task to call commit() on this SQLHelper every n ticks. Pass -1 to disable. Automatically sets autoCommit to false.- Parameters:
ticks
- The number of ticks between commits, or -1 to disable
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commit
public void commit()Flushes all caches and commits the transaction -
prepareStatement
public java.sql.PreparedStatement prepareStatement(java.lang.String query, java.lang.Object... fields)Prepares a statement, setting its fields to the elements of the vararg passed- Parameters:
query
- The SQL query to preparefields
- A vararg of the fields to set in the prepared statement- Returns:
- The PreparedStatement with its fields set
-
close
public void close()Closes the underlying connection this SQLHelper wraps- Specified by:
close
in interfacejava.lang.AutoCloseable
- Specified by:
close
in interfacejava.io.Closeable
-


We have made a Cycle Starter Rube Goldberg Machine as our project.  When he pulls down a rope hanging just in front of him, a chain of events is triggered which eventually gives the man a forward impulse to move to the front. Secondly, this also completes the path by filling the hole in the road and thus makes the life of the lazy man easy


Appetizers
Bacon ipsum dolor amet leberkas chuck beef ribs, meatloaf cupim ham hock pork shoulder shank. Hamburger flank chuck short loin ball tip, ham hock picanha jerky ribeye biltong burgdoggen pancetta landjaeger short ribs cow. Porchetta bresaola pancetta short loin.  Burgdoggen fatback venison, swine drumstick beef pork chop tongue jowl turkey beef ribs short loin cupim ribeye. Fatback kielbasa sausage andouille meatball, t-bone cow jerky biltong alcatra. Jowl shankle pastrami meatball filet mignon. Short loin landjaeger flank meatloaf sirloin meatball. T
Cupim pastrami chuck, leberkas ham hock tri-tip alcatra biltong meatball sirloin hamburger. Strip steak pork chop pancetta ribeye rump, tri-tip prosciutto. Alcatra fatback pork loin, turkey prosciutto kevin chuck. Bresaola picanha meatball, turducken flank shankle sirloin kevin pork chop jowl tri-tip shoulder.


Grids / Infinite Scrolling
This sample presents how to create infinite scrolling in the TreeGrid. Whenever scroll position is close to the end, additional data will be loaded into the TreeGrid. Loading process is accompanied by a circular animation.
This sample presents how to create infinite scrolling in the TreeGrid. Whenever scroll position is close to the end, additional data will be loaded into the TreeGrid. Loading process is accompanied by a circular animation.


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EverglowUni
Hello! We are EverglowUni!
EverglowUni is the University of Everglow. It's for the Forevers, by the Forevers! You will be equipped with everything you need to be a forever, be it memes, videos, pictures or even knowledge from archive of Everglow.
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Rule base system for AIWolf.
See Also: Inherited members from RuleBaseSystem.RuleBase.
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Initializes a new instance of this class with name and game information |
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Name | string . The name of this rule base. (Inherited from RuleBaseSystem.RuleBase.) |
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AddVariable
(RuleBaseSystem.Variable)Adds a variable to this rulebase. (Inherited from RuleBaseSystem.RuleBase.) |
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DeclareFacts
()Declares the facts in this rulebase. (Inherited from RuleBaseSystem.RuleBase.) |
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ForwardChain
()Starts the forward chain. (Inherited from RuleBaseSystem.RuleBase.) |
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GetConflictList
(bool)Returns the list of the conflicting rules. (Inherited from RuleBaseSystem.RuleBase.) |
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GetVariable
(string)Returns the variable having given name. (Inherited from RuleBaseSystem.RuleBase.) |
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GetVariableValue
(string)Returns the value of the variable. (Inherited from RuleBaseSystem.RuleBase.) |
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NewFact
(RuleBaseSystem.Variable, object)Creates a new fact and add it to this rulebase. (Inherited from RuleBaseSystem.RuleBase.) |
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NewFact
(string, string)Adds a new fact to this rule base. |
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NewRule
(string)Creates a new rule and adds it to this rulebase. (Inherited from RuleBaseSystem.RuleBase.) |
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NewRule
(RuleBaseSystem.Clause, RuleBaseSystem.Consequent)Creates a new rule and adds it to this rulebase. (Inherited from RuleBaseSystem.RuleBase.) |
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NewRule
(RuleBaseSystem.Clause[], RuleBaseSystem.Consequent)Creates a new rule and adds it to this rulebase. (Inherited from RuleBaseSystem.RuleBase.) |
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NewRule
(string, RuleBaseSystem.Clause, RuleBaseSystem.Consequent)Creates a new rule and adds it to this rulebase. (Inherited from RuleBaseSystem.RuleBase.) |
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NewRule
(string, RuleBaseSystem.Clause[], RuleBaseSystem.Consequent)Creates a new rule and adds it to this rulebase. (Inherited from RuleBaseSystem.RuleBase.) |
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PrintRules
()Writes the rules in this rule base to the console. (Inherited from RuleBaseSystem.RuleBase.) |
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PrintVariables
()Writes the variables of this rule base to the console. (Inherited from RuleBaseSystem.RuleBase.) |
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Reset
()Resets variables, rules and facts in this rule base. (Inherited from RuleBaseSystem.RuleBase.) |
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SelectRule
(List<RuleBaseSystem.Rule>)Returns the rule having the most antecedents. (Inherited from RuleBaseSystem.RuleBase.) |
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SetVariableValue
(string, string)Sets the value of the variable. (Inherited from RuleBaseSystem.RuleBase.) |
Initializes a new instance of this class with name and game informationSyntax
public TOTRuleBase (string name, AIWolf.Common.Net.GameInfo gameInfo)Parameters
- name
- Name of this rule base.
- gameInfo
- Game information.
Remarks
Requirements
Namespace: TOT
Assembly: TOT (in TOT.dll)
Assembly Versions: <IP_ADDRESS>
Adds a new fact to this rule base.Syntax
Parameters
- varName
- Name of variable.
- value
- Value of variable.
Remarks
Requirements
Namespace: TOT
Assembly: TOT (in TOT.dll)
Assembly Versions: <IP_ADDRESS>


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Jeffrey C. Witt (Loyola University Maryland) | @jeffreycwitt
March 16, 2017
Slide Deck: http://lombardpress.org/slides/2017-03-16-scta-supplemental-data-examples
A "supplement" wrapper announcing a transcription layer for Penn Ms 686
http://scta.info/iiif/rothwellcommentary/penn/supplement/layer/transcriptionHere's a "notification" wrapper announcing the same transcription layer
http://scta.info/iiif/rothwellcommentary/penn/notification/layer/transcriptionA layer example anouncing an a transcriptions for each page/canvas as an annotations list.
http://scta.info/iiif/rothwellcommentary/penn/layer/transcriptionNotice the addition of the "sc:forCanvas" property. This was necessary to allow the easy association of an annotationList with a given canvas in a manifest
This publication pattern can be reproduced for text in our catalogue
Here are the same set of links for the sister witness of Penn 686 in Switzerland published by E-codices, Aarau, Aargauer Kantonsbibliothek, MsWettF 15
Supplement
http://scta.info/iiif/rothwellcommentary/wettf15/supplement/layer/transcriptionNotification
http://scta.info/iiif/rothwellcommentary/wettf15/notification/layer/transcriptionLayer
http://scta.info/iiif/rothwellcommentary/wettf15/layer/transcriptionAnnotationList
http://scta.info/iiif/rothwellcommentary/wettf15/list/transcription/107vThis publication pattern can be reproduced for text in our catalogue
Here are the same set of links for the sister witness of Penn 686 in Switzerland published by E-codices, Aarau, Aargauer Kantonsbibliothek, MsWettF 15
Supplement
http://scta.info/iiif/rothwellcommentary/wettf15/supplement/layer/transcriptionNotification
http://scta.info/iiif/rothwellcommentary/wettf15/notification/layer/transcriptionLayer
http://scta.info/iiif/rothwellcommentary/wettf15/layer/transcriptionAnnotationList
http://scta.info/iiif/rothwellcommentary/wettf15/list/transcription/107vSupplement
http://scta.info/iiif/rothwellcommentary/wettf15/supplement/layer/transcriptionNotification
http://scta.info/iiif/rothwellcommentary/wettf15/notification/layer/transcriptionLayer
http://scta.info/iiif/rothwellcommentary/wettf15/layer/transcriptionAnnotationList
http://scta.info/iiif/rothwellcommentary/wettf15/list/transcription/107vHere are the same set of links for the sister witness of Harvard ms. lat 245 in Ghent ms. 567
Supplement
http://scta.info/iiif/rothwellcommentary/wettf15/supplement/layer/transcriptionNotification
http://scta.info/iiif/rothwellcommentary/wettf15/notification/layer/transcriptionLayer
http://scta.info/iiif/rothwellcommentary/wettf15/layer/transcriptionAnnotationList
http://scta.info/iiif/rothwellcommentary/wettf15/list/transcription/107v


| 047:015 Khan | : |
The description of Paradise which the Muttaqun (pious - see V.2:2) have been promised is that in it are rivers of water the taste and smell of which are not changed; rivers of milk of which the taste never changes; rivers of wine delicious to those who drink; and rivers of clarified honey (clear and pure) therein for them is every kind of fruit; and forgiveness from their Lord. (Are these) like those who shall dwell for ever in the Fire, and be given, to drink, boiling water, so that it cuts up their bowels? |
| 047:015 Maulana | : |
A parable of the Garden which the dutiful are promised: Therein are rivers of water not altering for the worse, and rivers of milk whereof the taste changes not, and rivers of wine delicious to the drinkers, and rivers of honey clarified; and for them therein are all fruits and protection from their Lord. (Are these) like those who abide in the Fire and who are made to drink boiling water, so it rends their bowels asunder? |
| 047:015 Pickthal | : |
A similitude of the Garden which those who keep their duty (to Allah) are promised: Therein are rivers of water unpolluted, and rivers of milk whereof the flavour changeth not, and rivers of wine delicious to the drinkers, and rivers of clear-run honey; therein for them is every kind of fruit, with pardon from their Lord. (Are those who enjoy all this) like those who are immortal in the Fire and are given boiling water to drink so that it teareth their bowels? |
| 047:015 Rashad | : |
The allegory of Paradise that is promised for the righteous is this: it has rivers of unpolluted water, and rivers of fresh milk, and rivers of wine - delicious for the drinkers - and rivers of strained honey. They have all kinds of fruits therein, and forgiveness from their Lord. (Are they better) or those who abide forever in the hellfire, and drink hellish water that tears up their intestines? |
| 047:015 Sarwar | : |
The garden, which is promised to the pious, is like one in which there are streams of unpolluted water, streams of milk of unchangeable taste, streams of delicious wine, and streams of crystal clear honey. Therein they will have all kinds of fruits and forgiveness from their Lord. On the other hand (can these people be considered like), those who will live forever in hell fire and will drink boiling water which will rip their intestines to bits?. |
| 047:015 Shakir | : |
A parable of the garden which those guarding (against evil) are promised: Therein are rivers of water that does not alter, and rivers of milk the taste whereof does not change, and rivers of drink delicious to those who drink, and rivers of honey clarified and for them therein are all fruits and protection from their Lord. (Are these) like those who abide in the fire and who are made to drink boiling water so it rends their bowels asunder. |
| 047:015 Sherali | : |
A description of the Garden promised to the righteous: Therein are streams of water which corrupts not; and streams of milk of which the taste changes not; and streams of wine, a delight to those who drink; and streams of clarified honey. And in it they will have all kinds of fruit, and forgiveness from their Lord. Can those who enjoy such bliss be like those who abide in the Fire and who are given boiling water to drink so that it tears their bowels? |
| 047:015 Yusufali | : |
(Here is) a Parable of the Garden which the righteous are promised: in it are rivers of water incorruptible; rivers of milk of which the taste never changes; rivers of wine, a joy to those who drink; and rivers of honey pure and clear. In it there are for them all kinds of fruits; and Grace from their Lord. (Can those in such Bliss) be compared to such as shall dwell for ever in the Fire, and be given, to drink, boiling water, so that it cuts up their bowels (to pieces)? |
Concepts/Themes Covered: الإيمان > الغيب > الجنة > صفات الجنة Faith> The Unseen World> The Paradise> Characteristics of Paradise الإيمان > الغيب > الخلود > الخلود في العذاب Faith> The Unseen World> The Eternity> The Immortality in Torture الإيمان > الغيب > النار > أصحاب النار Faith> The Unseen World> Hell-Fire>Hell Fellows الإيمان > الغيب > النار > صفات النار Faith> The Unseen World> Hell-Fire>Hell Characteristics العمل > العمل الصالح > العمل المفضي إلى النجاح Action(Work)> The Good Deeds>Achtion which Leads to Success العمل > العمل الطالح > الأعمال المحرمة > شرب الخمر والسكر Action(Work)> Bad Deeds>The Forbidden Deeds> Drinking Alcoholic Drink and Drunkenness الإنسان والعلاقات الأخلاقية > الأخلاق الذميمة > السكر Man and The Moral Relations>The Dispraised Morals>Intoxication(of Alcohol)
This tool uses eight English parallel translations for the Holy Quran imported from Mr. Clay Smith. You can also visit Qurany Concepts for browsing the Quran themes or topics. If you want to search the Holy Quran for keywords, please visit Qurany Keywords.


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An important aspect of high performance computing is parallelization. This assignment was to write a program that performs a task using POSIX threads so that it is fast enough to pass a number of requirements. The task is to solve equations with Newton’s method with different starting positions in the complex plane and then generate two images of type .ppm. The first being related to what root one converges to for each point, the second being related to how many iterations needed for convergence for each point.
All code is written in the file newton.c.
TODO: WRITE ABOUT HEADERS AND STUFF
First the input arguments are parsed.
Then memory is allocated for the two matrices used for building the images. These are rootMatrix and iterMatrix. Every element in rootMatrix stores a number between 1 and d which corresponds to one of the exact roots to the equation and every element in iterMatrix stores the number of iterations needed to find the root.
The exact roots are calculated and stored and are given an associated colour. For this purpose we make use of a Colour struct which stores three integers r, g and b aswell as an ascii string with those values.
The program writes the images row by row. In order to keep track of which rowes are ready to write or needs to be calculated, an array with an element for every row is created. It is filled with zeros at first which indicates that none of the rows are ready to be written.
rowDone = (int*) malloc(sizeof(int)*dimensions);
for (i = 0; i < degree; ++i) {
rowDone[i] = 0;
}
The writer thread is created and assigned the function writeRows.
pthread_t writerThread;
int ret = 0;
if (ret = pthread_create(&writerThread, NULL, writeRows, NULL)) {
printf("Error creating thread: %\n", ret);
exit(1);
}
The function runWorkerThreads is called. This function creates the threads used for the computations and makes them calculate rows until they are all done.
When the threads are done they are joined, the allocated memory is freed and the main function is done.
which in addition to the main function has five more functions. 1. mul_cpx which given two complex number structs returns the product of the two as a complex number struct. 2. findRoot: findRoot takes two indices and constructs a complex number in accordance with a grid mapping a part of the complex plane. It then finds the root to the equation by using Newton’s method with the complex number as starting point. The root is identified as one of the exact roots and the corresponding position is rootMatrix is set to the right root number and the corresponding position in iterationMatrix is set to the number of iterations it took to converge. 3. computeRows: In computeRows, a thread finds the next row that is yet to be computed. When a row which is marked as available, with a zero in the rowDone array, the threads marks that the row is being computed by changing the zero to a one. It then finds the root for every point within that row by looping through the column indices and calling findRoot. When the row is calculated it is marked as done with a two in the rowDone array and the thread moves on to the next row until every row is done or in progress.
runWorkerThreads: runWorkerThreads creates the number of threads specified by the user and assign the all to the function computeRows.
writeRows: writeRows is the function performed by the writer thread. The writer thread writes the headers of the two files and then waits for the first row to be computed before it can write the results to the files. It then waits for the second row and so on by checking the rowDone array. This is done until all rows are written. In the while lopp, a the nanosleep function is called if the current row is not done yet. The function then closes the files.
The synchronisation was made using the array rowsDone. With this, the absolute worst thing that could happen was that a row could be calculated more than once and that was deemed highly unlikely. The writing thread did all the file managing and was forced to write in the correct order. All other computations by the threads were completely independent. ======= # Assignmnet 2 - High Performance Computing
Make the program by running
$ make
then run the program with
$ ./newton
Our program is divided into several functions and we also utilize several of the standard C headers.
The program uses several threads to compute the roots of a polynomial on a square subset of values around the complex zero. There is also two additional threads, the main thread and a second one used for writing the results to a file.
The only files that are required to compile the program are:
mul_cpx
Performs complex multiplication of two complex numbers.
findRoot
Performs the Newton-Rhapson method to find the root to which a gicǘen starting point converges.
computeRows
Function passed to a new thread that will compute the roots for values in a given row of the input matrix.
runWorkerThreads
Starts threads and gives them the data they are supposed to start work on.
writeRows
Function passed to the writer thread.
main
Main function, called on program start.
Complex
A complex number consisting of two ints re and im, the real and imaginary part.
Colour A data structure representing a color value. Represents the color in RGB format as both three integers 0 < r, g, b < 255, and as a character array with the same values saved as a single char array.


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Returns the current joint state as sensor_msgs/JointState :return (sensor_msgs.msg.JointState): Current angles
Calls inverse kinematics to obtain joint angles from a cartesian pose, return None if failed :param pose (geometry_msgs.msg.Pose): target position as geometry_msgs/Pose :return (sensor_msgs.msg.JointState): Joint angles
Returns the current cartesian pose as geometry_msgs/Pose :return (geometry_msgs.msg.Pose): Current pose
Calls forward kinematics to obtain cartesian pose from joint angles, return None if failed :param angles (sensor_msgs.msg.JointState): target joint position as sensor_msgs/JointState :return (geometry_msgs.msg.Pose): Cartesian pose
Go to a angular joint state provided as sensor_msgs/JointState, blocking, returns True if all went fine (trajectory found), false otherwise :param angles (sensor_msgs.msg.JointState): target joint position as sensor_msgs/JointState :param speed (float): a float multiplicator of the default baxter speed :param joint_tolerance_plan (float): joint angle tolerance in radians target joint angles (used in planning pipeline) :param joint_tolerance (float): joint angle tolerance in radians for the target joint angles (used for execution) :param speed_tolerance (float): speed tolerance in rad/s-1 for the controller to stop (used for execution) :param timeout (float): timeout in seconds before giving on the control :param path_tolerance (float): maximum joint angular distance during execution to consider a failure during trajectory execution :return (bool): Success flag
Go to a cartesian pose provided as geometry_msgs/Pose for the defined eef , blocking , returns True if all went fine (trajectory found), false otherwise :param pose (geometry_msgs.msg.Pose): target position as geometry_msgs/Pose :param speed (float): a float multiplicator of the default baxter speed :param position_tolerance (float): position tolerance in meters for the target pose (used in planning pipeline) :param orientation_tolerance (float): orientation tolerance in radians for the target pose (used in planning pipeline) :param joint_tolerance (float): joint tolerance in radians for the target joint angles (used for execution) :param speed_tolerance (float): speed tolerance in rad/s-1 for the controller to stop (used for execution) :param timeout (float): timeout in seconds before giving on the control :param cartesian (bool): boolean to compute a cartesian path :param path_tolerance (float): maximum joint angular distance during execution to consider a failure during trajectory execution :return (bool): Success flag
Created a directory if it does not exist :param path (string): Path for the directories to be created, or verified
Returns a dictionary of the difference between two joint state angles :param joint_angles_1 (sensor_msgs.msg.JointState): first angles of type sensor_msgs.msg.JointState() :param joint_angles_2 (sensor_msgs.msg.JointState): second angles of type sensor_msgs.msg.JointState() :return (dict): Dictionary of angle differences
Returns the accumulated error from the difference of two joint states angles :param joint_angles_1 (sensor_msgs.msg.JointState): first angles of type sensor_msgs.msg.JointState() :param joint_angles_2 (sensor_msgs.msg.JointState): second angles of type sensor_msgs.msg.JointState() :return (float): Accumulated error
Converts a dictionary to a angles of a JointState()
| Parameters: | (dict) (d) – The dictionary to be converted |
|---|---|
| Return (sensor_msgs.msg.JointState): | |
| The angles |
Converts angles of a JointState() to a dictionary :param angles (sensor_msgs.msg.JointState): angles to be converted :return (dict): dictionary with angles
Converts a Pose to a dictionary :param pose (geometry_msgs.msg.Pose): Pose to be converted :return (dict): dictionary with position and orientation
Returns a dictionary of the difference between two Poses :param pose_1 (geometry_msgs.msg.Pose): first pose of type geometry_msgs.msg.Pose() :param pose_2 (geometry_msgs.msg.Pose): second angles of type geometry_msgs.msg.Pose() :return (dict): Dictionary of pose difference
Converts a dictionary to a Pose :param d (dict): The dictionary to be converted :return (geometry_msgs.msg.Pose): The pose from the dictionary
Returns the reverse version of a given plan :param plan (moveit_msgs.msg.RobotTrajectory): The original plan :return (moveit_msgs.msg.RobotTrajectory): The reversed plan
Converts all angles of a JointState() to a printable string :param angles (sensor_msgs.msg.JointState): JointState() angles to be converted :return (string): string of the angles
Converts a pose of a Pose() or PoseStamped() to a printable string :param pose (geometry_msgs.msg.Pose): Pose to be converted :return (string): string of the pose
Loads angles from a file located in the data directory of the package :param name (string): Filename of the angles to load :return (sensor_msgs.msg.JointState): The angles as a JointState() that are going to be saved
Loads a plan from a file located in the data directory of the package :param name (string): Filename of the plan to be loaded :return (moveit_msgs.msg.RobotTrajectory): Returns the plan or None otherwise
Loads a pose from a file located in the data directory of the package :param name (string): Filename of the pose to load :return (geometry_msgs.msg.Pose): The pose as Pose() that is going to be saved
Saves angles to a file located in the data directory of the package :param name (string): Filename of the angles to save :param angles (sensor_msgs.msg.JointState): The angles that are going to be saved
Saves a plan to a file located in the data directory of the package. The directory is created, if it does not exist. :param name (string): Filename of the plan to save :param plan (moveit_msgs.msg.RobotTrajectory): The plan that is going to be saved


Portable Media Players (1998-2002)
01 Jan 1999IO Dadio Source Code. See also Dharma Development Board
In 1998 I was curious why on how to get mp3 to play back on embedded devices. The first 6 months to a year were full of failures. Processors were not powerful enough, storage was expensive, there was no business case. Nonetheless I built a fixed function player from a breadboard in 1998 the below products followed. The entire source code for embedded media players can be found here. I was lucky enough to work with super smart engineers while I developed business cases and partners.
One of the firsts multi-codec mp3 players created with removable media - the Clik! drive. The software stack for the Iomega Hipzip, built upon eCos which was called Dadio OS, source code here. The player supported MP3, WMA, and Ogg Vorbis formats. This device and the IBM 120 MB CF drive were the examplars for the playlist (Patent No.: US 7,667,123 B2, Date of Patent: Feb.23,2010) and buffering (Patent No.: US 7,574,272 B2, Date of Patent: Aug.11,2009) patents.
Checkout the manual Iomega Hipzip Manual.
First spinning media player developed using the IBM miniature hard drive.
Dual SD-card digital audio player.
Digital audio operating system for portable music players that allows mp3 and other music file formats to be played interchangeably; an interoperable platform offered in 16-bit and 32-bit configurations and aimed at lightweight, miniature player designs where long battery life and low cost are essential; allowed management of complex features including high capacity storage, high bandwidth transmission, and embedded database management. Complete Digital Audio OS Source Code
Our early work in optimizing the mp3 decoder for NECVR4111 and VR4121 paid off by being acquired by Microsoft for the Windows Media Player for Windows CE.
Microsoft’s First Generation AutoPC running the Hitachi SH3 Processor. SH3 Optimized MP3 Layer. Experimental AutoPC Digital Media Player.
Bread board of the first mp3 player I prototyped.


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Reaction
After watching "Shereef's Fireside Chat," I felt so thrilled to be a part of Dev Bootcamp and invigorated to meet my cohort in person this July.
Shereef describes the desire to have attendees come in with their proverbial apron on, ready to create/build/cook with their partner chefs and I really identified with that. After going through the traditional educational experience (kindergarten, grade school, high school, college, grad school), I still felt like I needed more. I was able to figure out the techniques necessary to achieve good grades but never felt passionate, never felt like I was doing more than consuming a product or experience. This feels different. I've invested my time, money, career, relationships, and more to make Dev Bootcamp a reality and I feel more than ready to put my apron on and start cooking.
Furthermore, it was refreshing to hear Shereef outline the "imposter fear" - the fear that everyone knows more than you, is more capable than you, and you will soon be found out and identified as a fraud, an imposter - because that is certainly something I have experienced in the past. Being a week behind in my work due to an innocent admin snafu has amplified my fear, so hearing Shereef detail it made me a bit more at ease. I frequently have to remind myself that I'm not in this alone, that there are others that are behind in their work, and that I can do this!
I'm excited to hit the ground running this July and make more out of this program than any other experience in my life. I owe it to myself and those I love to put all of myself into Dev Bootcamp. In light of that, I'm going to make more of an effort to personally connect with those in my cohort and to not be afraid to ask for help. By doing this, not only will I get more out of the program, but I think others will to.


MAJOR THERA-GEL THERAPEUTIC ANTI-DANDRUFF- coal tar shampoo
Major Pharmaceuticals
Disclaimer: Most OTC drugs are not reviewed and approved by FDA, however they may be marketed if they comply with applicable regulations and policies. FDA has not evaluated whether this product complies.
Active ingredient
Solubilized Coal Tar Extract 2.5% (Coal Tar, 0.5%)
Use
controls the symptoms of:
- dandruff
- seborrheic dermatitis
- psoriasis
Warnings
For external use only
Ask a doctor before use if you have a condition which covers a large part of the body
When using this product
- do not get into eyes. If contact occurs, rinse eyes thoroughly with water.
- use caution in exposing skin to sunlight after applying this product. It may increase your tendency to sunburn for up to 24 hours after application.
- do not use for prolonged periods without consulting a doctor
- do not use with other forms of psoriasis therapy such as ultra violet radiation or prescription drugs unless directed to do so by a doctor.
Stop use and ask a doctor if
condition worsens or does not improve after regular use of this product as directed.
Keep out of reach of children.
If swallowed, get medical help or contact a Poison Control Center right away.
Directions
- wet hair thoroughly
- massage shampoo into the scalp
- lather. leave on hair and scalp for several minutes.
- rinse and repeat
- for best results use at least twice a week or as directed by a doctor
Other information
- store away from direct sunlight
- in rare instances, discoloration of gray, blonde, bleached or tinted hair may occur
Inactive ingredients
water, sodium laureth sulfate, cocamidopropyl betaine, cocamide DEA, laureth-4, methylparaben, propylparaben, imidazolidinyl urea, sodium chloride, fragrance, citric acid, tetrasodium EDTA, red 40 (CI 16035), caramel
Questions?
Adverse Drug Event Call:<PHONE_NUMBER>
Distributed By: Major Pharmaceuticals
31778 Enterprise Drive, Livonia, MI 48150, USA
PRINCIPAL DISPLAY PANEL - 251 mL Bottle Label
NDC 0904-5259-44
MAJOR®
Thera-Gel™
THERAPEUTIC
SHAMPOO
ORIGINAL FORMULA
Coal Tar 0.5%
Long Lasting Relief of
Itching and Flaking
Controls the Symptoms of:
- Seborrheic Dermatitis
- Psoriasis
- Dandruff
*Compare to the active ingredient of
Neutrogena® T/Gel® Therapeutic Shampoo
8.5 FL OZ (251 mL)
05-1439A


The Producers (1968, PG)
Written and Directed by Mel Brooks
Starring Zero Mostel, Gene Wilder, Dick Shawn, Kenneth Mars, Christopher Hewett
As Reviewed by James Brundage
Mel Brooks' directorial debut occurred in 1968. It was his gift to the world. And, you might ask, what was his gift originally titled? Springtime for Hitler.
This unlikely scam features the seduction of old ladies for financing, the purchasing of a script titled: `Springtime for Hitler: A Musical Romp with Adolf and Eva', the hiring of the worst director and actor possible, and, of course, setting it all to music.
The best way to characterize this film is as a charicature of Hilter as a cheaply-drawn cartoon with his pants down around his ankles singing at the top of his lungs. It is both that striking, that immature, and that funny. Zero Mostel, although not giving a great performance, does his best with the role offerred to him and excels in it, as does Gene Wilder, who plays and accountant-turned-producer with as much neuroses as Woody Allen.
The film doesn't have speed to it: it lumbers along, taking it's time to get to punchlines which strike the viewer as perfectly delivered. Instead of speed it has a brilliant script, filled with jokes and quips and wittiness and turned out by Mel Brooks himself, allowing us all to view his genius at an early stage.
I don't normally watch films from the sixties: I don't make an effort not to watch them, but I don't go out of my way for them, either. This film, however, was recommended to me by a friend and I, in turn, recommend it to you.  This film, like Casablanca, Citizen Kane, Touch of Evil, and Gone with the Wind is worth going out of your way for.
It won the 1968 Academy Award for Best Original Screenplay, and wins my respect for the way the lines are deliever. Gene Wilder's most memorable moment is when he goes into hysterics, holding his blankie (literally), and delivers the line `I'm hysterical! I'm hysterical, I'm hysterical, I'm hysterical!' when water is put in his face he pauses for a moment and screams and says, `I'm wet and I'm still hysterical! I'm hysterical and I'm wet!' When he is then slapped he screams again and says, `I'm wet, I'm hysterical, and I'm in pain!'
Mel Brooks has always delivered a strange mix of message and humor (with the exception of Robin Hood: Men in Tights and Dracula: Dead and Loving it, which simply delivered humor), and it is prevalent in this film. He uses this opportunity to make fun of Hitler and Nazism in general, as well as, without once mentioning Hollywood, the strange system that exists in the City of Lights.
Sure, you see films like Get Shorty and The Player and The End of Violence, set in Hollywood and dealing with producers, and you know it's a satire of the system, but, when you watch The Producers, it's not the first thing that occurs to you. It is, like message should be in all good films, hidden just beneath the surface. Having the director being sure that he's funny and having the producers butter him up for directing a flopů picking an actor who does good by mistake. It has gumption to be this subversive, and is all the more lovable for that.
As I've said: it came recommended, I'm sending it off recommended.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
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BRASSED OFF A film review by Steve Rhodes Copyright 1997 Steve Rhodes
RATING (0 TO ****): ** 1/2
The distraught son, Phil (Stephen Tompkinson), rants in front of a shocked group in church. He blames the Tory party for the local mine's misfortunes. As they show him the exit, he stops to complain to a statue of the Virgin Mary. He wants to know why she has let Maggie Thatcher live while his father and the mine's band leader is ill.
Welcome to MR. HOLLAND'S OPUS recast as the coal miners' union struggle against management. Except for the periodic political diatribes, BRASSED OFF is a quite pleasant but rarely challenging formula picture that telegraphs every punch.
Pete Postlethwaite gives a moving but too frequently saccharine performance as Danny, the leader of the Grimley Colliery Band. Whereas Richard Dreyfuss was effusively optimistic, Postlethwaite is dead serious. His face seems incapable of smiles. Band conducting being business, he permits himself no frivolities or distractions, even if he coughs like he is certain to die at any moment.
The band has a proud history, having been started in 1881, and Danny reveres its legacy. The other band members are much less dedicated to the band, but they are bound to Danny.
When management wants to close the pit, the miners have to decide whether to take a management cash settlement and let it close or go on strike. (Writer and director Mark Herman's political agenda keeps getting in the way of logic. One scene has management bragging that they know the mine makes them a good profit, but they plan on closing it anyway. How this makes any sense is never explained. The film assumes that the audience is a priori on the side of the union, hence management can be completely and illogically stereotyped as evil incarnate without need for explanation.)
The band members and their families are dirt poor and obsessed with the vote, but not Danny. His singleness of purpose is directed totally to the band's winning the national championship. The tabulating of the union vote happens conveniently while they are playing at the semifinals. The band members say the band dies when the pit closes, but Danny sees the band living on forever in order to maintain its grand tradition. ("I love the band -- we all do -- but there's other things in life that are more important," reasons his son. "Not in my book," Danny solemnly replies.)
Although the rest of the band, other than Danny, seem to blend together, there is one whose acting rises above the others, Tara Fitzgerald as Gloria. Tara, who gave delightful performances in THE ENGLISHMAN WHO WENT UP A HILL, BUT CAME DOWN A MOUNTAIN, A MAN OF NO IMPORTANCE and SIRENS, manages to charm the audience again. As the only female member of a previously all-male brass band, she gets both come-ons and grief from the others, but is eventually accepted.
The show teases us with an interesting romance between Gloria and Andy (Ewan McGregor from EMMA and TRAINSPOTTING), but refuses to develop the story.  But he responds, "I don't drink coffee." In a cute piece of dialog, she adds, "I haven't got any." Cut to the next morning and that is about all we get of that relationship. Too bad since the preliminary chemistry between them is quite intriguing.
Like the truncated relationship between Gloria and Andy, the families of the married miners make brief appearances with the sole purpose of tearing at our heartstrings. When Phil's wife leaves him and takes the kids, he becomes morose, what with that and the problems at the mine. His son, missing his grieving dad, tells his mom, "I don't want to see Dad sad, mom, but I'd rather see him sad than not see him at all." A telling commentary on the effect of divorce on children.
As soon as you hear the film's setup, you can write the movie's conclusion yourself. Yes, after a manipulative sequence designed to force you to tears, there is the obligatory and completely predictable ending. Only a minor twist changes it slightly, but the writer is so afraid of breaking formula that the twist is taken back as soon as it is introduced.
BRASSED OFF's best part is its rousing and beautiful music of a type rarely heard in movies. Just ignore the movie's heavy political dogma, accept that you know its conclusion, and kick back and enjoy the music and the sweet acting.
BRASSED OFF runs 1:45. It is rated R for a little bad language. Given the film has no sexuality, no nudity, no drugs, and nothing other than a couple of bad words that I missed but supposedly were there, I would consider the film basically PG. Kids need to be about 9 or so to be interested, but the picture would be acceptable for any age. I recommend this formula film and give it ** 1/2.
**** = A must see film. *** = Excellent show. Look for it. ** = Average movie. Kind of enjoyable. * = Poor show. Don't waste your money. 0 = Totally and painfully unbearable picture.
REVIEW WRITTEN ON: May 6, 1997
Opinions expressed are mine and not meant to reflect my employer's.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
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review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
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Related links: index of all rec.arts.movies.reviews reviews


| PostgreSQL 9.0.10 Documentation | ||||
|---|---|---|---|---|
| Prev | Up | Chapter 44. Overview of PostgreSQL Internals | Next |
Here we give a short overview of the stages a query has to pass in order to obtain a result.
A connection from an application program to the PostgreSQL server has to be established. The application program transmits a query to the server and waits to receive the results sent back by the server.
The parser stage checks the query transmitted by the application program for correct syntax and creates a query tree.
The rewrite system takes the query tree created by the parser stage and looks for any rules (stored in the system catalogs) to apply to the query tree. It performs the transformations given in the rule bodies.
One application of the rewrite system is in the realization of views. Whenever a query against a view (i.e., a virtual table) is made, the rewrite system rewrites the user's query to a query that accesses the base tables given in the view definition instead.
The planner/optimizer takes the (rewritten) query tree and creates a query plan that will be the input to the executor.
It does so by first creating all possible paths leading to the same result. For example if there is an index on a relation to be scanned, there are two paths for the scan. One possibility is a simple sequential scan and the other possibility is to use the index. Next the cost for the execution of each path is estimated and the cheapest path is chosen. The cheapest path is expanded into a complete plan that the executor can use.
The executor recursively steps through the plan tree and retrieves rows in the way represented by the plan. The executor makes use of the storage system while scanning relations, performs sorts and joins, evaluates qualifications and finally hands back the rows derived.
In the following sections we will cover each of the above listed items in more detail to give a better understanding of PostgreSQL's internal control and data structures.


|
HornetEngine
Open Alpha
Open source framework for creating Tangible Interfaces
|
Public Member Functions | |
| override void | Start () |
| A function which can be used to start the audio listener More... | |
| override void | Update () |
| A function which can be used to update the audio listener More... | |
| Public Member Functions inherited from HornetEngine.Ecs.MonoScript | |
| MonoScript () | |
| The constructor of the MonoScript More... | |
| virtual void | FixedUpdate () |
| Function that runs every update from the Fixed Update Thread More... | |
Public Attributes | |
| AudioListenerComponent | audio_listener |
| An AudioListenerComponent used within the script More... | |
| Public Attributes inherited from HornetEngine.Ecs.MonoScript | |
| Entity | entity |
| The entity within the MonoScript More... | |
| bool | start |
| A bool used to check whether the script has been run More... | |
|
virtual |
A function which can be used to start the audio listener
Reimplemented from HornetEngine.Ecs.MonoScript.
|
virtual |
A function which can be used to update the audio listener
Reimplemented from HornetEngine.Ecs.MonoScript.
| AudioListenerComponent HornetEngine.Ecs.AudioListenerScript.audio_listener |
An AudioListenerComponent used within the script


The first big Guerilla Showrunner project is now up and available, and I’m thinking a lot of Machinima people will find it interesting.
In short, I’ve been thinking a lot about what makes a series project fun, and the answer that came back was - fans. Active fans who comment on the show, tell you they like it, and tell their friends about it.
Too often we end up with thousands of casual viewers whom we only know as numbers on a YouTube page, and not as many interested, involved viewers as we’d like.
I’ve been doing a lot of thinking about this, and I’ve come to the conclusion that a lot of that is, frankly, down to us as showrunners.
So I made a video course about it.
It’s about half an hour in total, split up into three lessons. In the first one, I talk about quick, simple things that we can do - but often fail to - to increase the number of people who become fans of our shows.
In part 2, I talk about how to design a show so that it fascinates people and makes them come back again and again. And in the third part…
OK, in the third part I basically talk about how to become a rock star.
Find the course over here:
It’s totally free, and I’m really looking forward to hearing what people think!


"""
Simulation of planar point processes
TODO
- inhibition process(es)
- optimize draws for complex windows
- documentation
"""
__author__ = "Serge Rey<EMAIL_ADDRESS>__all__ = ['PointProcess', 'PoissonPointProcess', 'PoissonClusterPointProcess']
import numpy as np
import pysal.lib as ps
from numpy.random import poisson
from .pointpattern import PointPattern as PP
def runif_in_circle(n, radius=1.0, center=(0., 0.), burn=2, verbose=False):
"""
Generate n points within a circle of given radius.
Parameters
----------
n : int
Number of points.
radius : float
Radius of the circle.
center : tuple
Coordinates of the center.
Returns
-------
: array
(n+1, 2), coordinates of generated points as well as
the center.
"""
good = np.zeros((n, 2), float)
c = 0
r = radius
r2 = r * r
it = 0
while c < n:
x = np.random.uniform(-r, r, (burn*n, 1))
y = np.random.uniform(-r, r, (burn*n, 1))
ids = np.where(x*x + y*y <= r2)
candidates = np.hstack((x, y))[ids[0]]
nc = candidates.shape[0]
need = n - c
if nc > need: # more than we need
good[c:] = candidates[:need]
else: # use them all and keep going
good[c:c+nc] = candidates
c += nc
it += 1
if verbose:
print('Iterations: {}'.format(it))
return good + np.asarray(center)
[docs]class PointProcess(object):
"""
Point Process base class.
Parameters
----------
window : :py:class:`~.window.Window`
Bounding geometric object to contain point process
realizations.
n : int
Size of each realization.
samples : list
Number of realizations.
asPP : bool
Control the data type of value in the "realizations"
dictionary. If True, the data type is point
pattern as defined in pointpattern.py; if False,
the data type is an two-dimensional array.
Attributes
----------
realizations : dictionary
The key is the index of each realization, and the
value is simulated event points for each
realization. The data type of the value is
controlled by the parameter "asPP".
parameters : dictionary
Dictionary of a dictionary.
The key is the index of each realization, and the
value is a dictionary with the key 'n' and the
value size of each realization.
"""
[docs] def __init__(self, window, n, samples, asPP=False, **args):
super(PointProcess, self).__init__()
self.window = window
self.n = n
self.samples = samples
self.args = args
self.realizations = {}
self.setup()
for sample in range(samples):
self.realizations[sample] = self.draw(self.parameters[sample])
if asPP:
for sample in self.realizations:
points = self.realizations[sample]
self.realizations[sample] = PP(points, window=self.window)
def draw(self, parameter):
"""
Generate a series of point coordinates within the given window.
Parameters
----------
parameter : dictionary
Key: 'n'.
Value: size of the realization.
Returns
-------
: array
A series of point coordinates.
"""
c = 0
sample = []
n = parameter['n']
while c < n:
pnts = self.realize(n)
pnts = [ps.cg.shapes.Point((x, y)) for x, y in pnts]
pins = self.window.filter_contained(pnts)
sample.extend(pins)
c = len(sample)
return np.array([np.asarray(p) for p in sample[:n]])
def realize(self):
pass
def setup(self):
pass
[docs]class PoissonPointProcess(PointProcess):
"""
Poisson point process including :math:`N`-conditioned CSR process and
:math:`\lambda`-conditioned CSR process.
Parameters
----------
window : :py:class:`~.window.Window`
Bounding geometric object to contain point process
realizations.
n : int
Size of each realization.
samples : list
Number of realizations.
conditioning : bool
If True, use the :math:`\lambda`-conditioned CSR process,
number of events would vary across realizations;
if False, use the :math:`N`-conditioned CSR process.
asPP : bool
Control the data type of value in the "realizations"
dictionary. If True, the data type is point
pattern as defined in pointpattern.py; if False,
the data type is an two-dimensional array.
Attributes
----------
realizations : dictionary
The key is the index of each realization, and the
value is simulated event points for each
realization. The data type of the value is
controlled by the parameter "asPP".
parameters : dictionary
Dictionary of a dictionary.
The key is the index of each realization, and the
value is a dictionary with the key 'n' and the
value:
1. always equal to the parameter n in the case of
N-conditioned process.
For example, {0:{'n':100},1:{'n':100},2:{'n':100}}
2. randomly generated from a Possion process in
the case of lambda-conditioned process.
For example, {0:{'n':97},1:{'n':100},2:{'n':98}}
Examples
--------
>>> import pysal.lib as ps
>>> import numpy as np
>>> from pointpats import Window
>>> from pysal.lib.cg import shapely_ext
Open the virginia polygon shapefile
>>> va = ps.io.open(ps.examples.get_path("virginia.shp"))
Create the exterior polygons for VA from the union of the county shapes
>>> polys = [shp for shp in va]
>>> state = shapely_ext.cascaded_union(polys)
Create window from virginia state boundary
>>> window = Window(state.parts)
1. Simulate a :math:`N`-conditioned csr process in the same window (10
points, 2 realizations)
>>> np.random.seed(5)
>>> samples1 = PoissonPointProcess(window, 10, 2, conditioning=False, asPP=False)
>>> samples1.realizations[0] # the first realized event points
array([[-81.80326547, 36.77687577],
[-78.5166233 , 37.34055832],
[-77.21660795, 37.7491503 ],
[-79.30361037, 37.40467853],
[-78.61625258, 36.61234487],
[-81.43369537, 37.13784646],
[-80.91302108, 36.60834063],
[-76.90806444, 37.95525903],
[-76.33475868, 36.62635347],
[-79.71621808, 37.27396618]])
2. Simulate a :math:`\lambda`-conditioned csr process in the same window (10
points, 2 realizations)
>>> np.random.seed(5)
>>> samples2 = PoissonPointProcess(window, 10, 2, conditioning=True, asPP=True)
>>> samples2.realizations[0].n # the size of first realized point pattern
10
>>> samples2.realizations[1].n # the size of second realized point pattern
13
"""
[docs] def __init__(self, window, n, samples, conditioning=False, asPP=False):
self.conditioning = conditioning
super(PoissonPointProcess, self).__init__(window, n, samples, asPP)
def setup(self):
"""
Generate the number of events for each realization. If
"conditioning" is False, all the event numbers are the same;
if it is True, the event number is a random variable
following a Poisson distribution.
"""
self.parameters = {}
if self.conditioning:
lambdas = poisson(self.n, self.samples)
for i, l in enumerate(lambdas):
self.parameters[i] = {'n': l}
else:
for i in range(self.samples):
self.parameters[i] = {'n': self.n}
def realize(self, n):
"""
Generate n points which are randomly and independently
distributed in the minimum bounding box of "window".
Parameters
----------
n : int
Number of point events.
Returns
-------
: array
(n,2), n point coordinates.
"""
l, b, r, t = self.window.bbox
xs = np.random.uniform(l, r, (n, 1))
ys = np.random.uniform(b, t, (n, 1))
return zip(xs, ys)
[docs]class PoissonClusterPointProcess(PointProcess):
"""
Poisson cluster point process (Neyman Scott).
Two stages:
1. parent CSR process: :math:`N`-conditioned or
:math:`\lambda`-conditioned. If parent events follow a
:math:`\lambda`-conditioned CSR process,
the number of parent events varies across realizations.
2. child process: fixed number of points in circle centered
on each parent.
Parameters
----------
window : :py:class:`~.window.Window`
Bounding geometric object to contain point process
realizations.
n : int
Size of each realization.
parents : int
Number of parents.
radius : float
Radius of the circle centered on each parent.
samples : list
Number of realizations.
asPP : bool
Control the data type of value in the "realizations"
dictionary. If True, the data type is point
pattern as defined in pointpattern.py; if False,
the data type is an two-dimensional array.
conditioning : bool
If True, use the :math:`lambda`-conditioned CSR process
for parent events, leading to varied number of
parent events across realizations;
if False, use the :math:`N`-conditioned CSR process.
Attributes
----------
children : int
Number of childrens centered on each parent. Can
be considered as local intensity.
num_parents : dictionary
The key is the index of each realization. The
value is the number of parent events for each
realization.
realizations : dictionary
The key is the index of each realization, and the
value is simulated event points for each
realization. The data type of the value is
controlled by the parameter "asPP".
parameters : dictionary
Dictionary of a dictionary.
The key is the index of each realization, and the
value is a dictionary with the key 'n' and the
value always equal to the parameter n in the
case of
N-conditioned process.
For example, {0:{'n':100},1:{'n':100},2:{'n':100}}
2. randomly generated from a Possion process in
the case of lambda-conditioned process.
For example, {0:{'n':97},1:{'n':100},2:{'n':98}}
Examples
--------
>>> import pysal.lib as ps
>>> import numpy as np
>>> from pointpats import Window
>>> from pysal.lib.cg import shapely_ext
Open the virginia polygon shapefile
>>> va = ps.io.open(ps.examples.get_path("virginia.shp"))
Create the exterior polygons for VA from the union of the county shapes
>>> polys = [shp for shp in va]
>>> state = shapely_ext.cascaded_union(polys)
Create window from virginia state boundary
>>> window = Window(state.parts)
1. Simulate a Poisson cluster process of size 200 with 10 parents
and 20 children within 0.5 units of each parent
(parent events: :math:`N`-conditioned CSR)
>>> np.random.seed(10)
>>> samples1 = PoissonClusterPointProcess(window, 200, 10, 0.5, 1, asPP=True, conditioning=False)
>>> samples1.parameters # number of events for the realization
{0: {'n': 200}}
>>> samples1.num_parents #number of parent events for each realization
{0: 10}
>>> samples1.children # number of children events centered on each parent event
20
2. Simulate a Poisson cluster process of size 200 with 10 parents
and 20 children within 0.5 units of each parent
(parent events: :math:`\lambda`-conditioned CSR)
>>> np.random.seed(10)
>>> samples2 = PoissonClusterPointProcess(window, 200, 10, 0.5, 1, asPP=True, conditioning=True)
>>> samples2.parameters # number of events for the realization might not be equal to 200
{0: {'n': 260}}
>>> samples2.num_parents #number of parent events for each realization
{0: 13}
>>> samples2.children # number of children events centered on each parent event
20
"""
[docs] def __init__(self, window, n, parents, radius, samples, keep=False,
asPP=False, conditioning=False):
self.conditioning = conditioning
self.parents = parents
self.children = int(np.ceil(n * 1. / parents))
self.radius = radius
self.keep = keep
super(PoissonClusterPointProcess, self).__init__(window, n, samples,
asPP)
def setup(self):
"""
Generate the number of events for each realization. If
"conditioning" is False, all the event numbers are the same;
if it is True, the number of parents is a random variable
following a Poisson distribution, resulting in varied number
of events.
"""
self.parameters = {}
self.num_parents = {}
if self.conditioning:
lambdas = poisson(self.parents, self.samples)
for i, l in enumerate(lambdas):
num = l * self.children
self.parameters[i] = {'n': num}
self.num_parents[i] = l
else:
for i in range(self.samples):
self.parameters[i] = {'n': self.n}
self.num_parents[i] = self.parents
def realize(self, n):
"""
Generate n points which are distributed in a clustered
fashion in the minimum bounding box of "window".
Parameters
----------
n : int
Number of point events.
Returns
-------
res : array
(n,2), n point coordinates.
"""
l, b, r, t = self.window.bbox
d = self.radius
# get parent points
pxs = np.random.uniform(l, r, (int(n/self.children), 1))
pys = np.random.uniform(b, t, (int(n/self.children), 1))
cents = np.hstack((pxs, pys))
# generate children points
pnts = [runif_in_circle(self.children, d, center) for center in cents]
res = np.vstack(np.asarray(pnts))
if self.keep:
res = np.vstack((np.asarray(cents), res))
np.random.shuffle(res) # so we don't truncate in a biased fashion
return res


The page cannot be found!
The page you have requested cannot be found on this server.
HTTP 404 - File Not Found


workbox-cacheable-response. CacheableResponsePlugin
class static
Use this plugin to cache responses with certain HTTP status codes or header values.
Defining both status codes and headers will cache requests with a matching status code and a matching header.
This class is meant to be automatically invoked as a plugin to a
RequestWrapper, which is used by the workbox-sw
and workbox-runtime-caching
modules.
If you would like to use this functionality outside of the RequestWrapper
context, please use the CacheableResponse
class directly.
Constructor
CacheableResponsePlugin
new CacheableResponsePlugin()
Example
new workbox.cacheableResponse.CacheableResponsePlugin({
statuses: [0, 200, 404],
headers: {
'Example-Header-1': 'Header-Value-1'
'Example-Header-2': 'Header-Value-2'
}
});


this page is not finished, see the wiki home page to find out why…
There really is no need to write a fully blown how-to of the technical aspects for modifying content models in Alfresco as Jeff Potts has written a concise and complete tutorial already including:
Here are the steps to follow when configuring a custom content model: 1. Create an extension directory 2. Create a custom model context file 3. Create a model file 4. Restart Tomcat
using xmp, what to about scrapers / uni-bi directional metadata updating (should keep the original file and create a rendition if updating metadata
change types http://forums.alfresco.com/forum/end-user-discussions/alfresco-share/change-types-options-menu-labeleds-06082011-1023
Configuring the Custom Model in Alfresco Share
Adding Custom Types and Aspects to Lists “Is sub-type” criteria. When a user configures a rule on a space and uses content types as a criteria, the custom types should be a choice in the list of possible content types. “Has aspect” criteria. When a user configures a rule on a space and uses the presence of an aspect as a criteria, the custom aspects should be a choice in the list of possible aspects. Change type action. When a user runs the “specialize type” action, either as part of a rule configuration or through the “Change Type” UI action, the custom types should be available. Add aspect. When a user runs the “add aspect” action, either as part of a rule configuration or through the “Manage Aspects” UI action, the custom aspects should be available.
Configuring Forms for Custom Properties / Configuring the form service for a custom type / Configuring the form service for custom properties Document Details. When a user looks at the document details page for a piece of content stored as one of the custom types or with one of the custom aspects attached, the properties section should show the custom properties. Edit Properties. When a user edits the properties of a piece of content, either with the “full” form or the abbreviated form, the appropriate properties should be shown.
Configuring Advanced Search in Alfresco Share Advanced search. When a user runs an advanced search, they should be able to restrict search results to instances of our custom types and/or content with specific values for the properties of our custom types.
Localizing Strings for Custom Content Models
You’ve seen that configuring Alfresco Share for your custom content model essentially involves adding XML to the share-config-custom.xml file and creating a properties file for your localized strings. All of this lives under the “web-extension” directory in the Share web application. There are other things you might like to do to the Share user interface, but these are beyond the scope of this document: • Add custom content types to the Create Content menu • Add custom properties to the document library sort criteria • Add custom properties to the document library data grid
http://wiki.alfresco.com/wiki/Data_Dictionary_Guide#Step_by_Step_Model_Definition
http://wiki.alfresco.com/wiki/Displaying_Custom_Metadata


[% page.title = "Perl 5.8.6 Release Announcement" %]
The Perl 5 developer team is pleased to announce the Perl Release 5.8.6, the sixth maintenance release of Perl 5.8.
The CPAN ftp multiplexer will pick a mirror close to you, if you select either bz2 (9693085 bytes) or gz (12254916 bytes) here; or, you can choose your own from one of the 259 CPAN mirrors worldwide.
md5sums for the tarballs:
3d030b6ff2a433840edb1a407d18dc0a perl-5.8.6.tar.bz2
8d4aa4e061fd5bc0c39e4f0a63267880 perl-5.8.6.tar.gz
5.8.6 is a maintenance release for perl 5.8, incorporating various
minor bugfixes and optimizations. Please see the perldelta
for the full details. Please report bugs using the
perlbug
utility. If the build or regression tests fail,
make nok
. If the build fails to early to run this, please
mail perlbug at perl.org directly.
This is a source code release, not a binary release. You will need a C development environment to build the sources. Binary releases will be made available by various vendors. To build and install Perl, and to find out how to report problems, please read the INSTALL file, and any relevant README.platform file. As specified in the licenses for Perl (see the files named Artistic or Copying), THIS PACKAGE IS PROVIDED WITH ABSOLUTELY NO WARRANTY. As always, you should conduct an appropriate level of testing before using any new product in your production environment.
The perldelta, which describes the most important changes for this release is available in the source distribution. You may also be interested Perl 5.8.5 announcement, and can find out much more about Perl in general at the Perl home page.
-- Nicholas Clark, on behalf of the Perl5 Porters, 2004-11-30"


or
Redis is an open source, BSD licensed, advanced key-value store. It is often referred to as a data structure server since keys can contain strings, hashes, lists, sets and sorted sets.
(any web app is really)
https://github.com/nicolasff/phpredis
<global>
[...]
<session_save><![CDATA[redis]]></session_save>
<session_save_path><![CDATA[<socket://|tcp://><socket|ip><:tcp-port>]]></session_save_path>
</global>
What you should use apart from Redis
Hint: Try logstash/elasticsearch/kibana
© knowyourmeme.com
This presentation (including notes etc.):
#nginx
#redis
#xcache
#memcache
#zend
#phpsession


High-Performance/Low-Power prototype with Atmels 32-bit MCU (AT32UC3B0256) and Chipcons RF radio (CC2500).
The AT32UC3B MCU features 256K bytes Flash, 32 KBytes SRAM, full-speed (12 Mbps) USB 2.0 with On-The-Go (OTG) capability, delivers 75 DMIPS at 60 MHz, and consumes 23 mA at 3.3V.


Your Symphony installation is up to date, but the installer was still detected. For security reasons, it should be removed. Remove installer?
Data Sources ›
Use {$param} syntax to filter by page parameters.
{$param}
Use {$param} syntax to limit by page parameters.
Failing to paginate may degrade performance if the number of entries returned is very high.
An empty result will be returned when this parameter does not have a value.
Use {$param} syntax to specify dynamic portions of the URL.
Namespace Declarations Optional
Use an XPath expression to select which elements from the source XML to include.


These Python packages are hosted here because the Python Package Index prohibits packages that are this large.
And we also host an ephemeris specially formatted for NOVAS, the Naval Observatory astronomy library:


Our first event at Muchmores bar in New York!
Class Ring - Washington DC Eastern Highschool 1939
Egg Man
Phone Calls
Fathers Jacket / Shoes
Hoop Earings
Seintimental Journey owned by artist - Photo Book by Nobuyoshi Araki
Borg Bear
Two books owned by presenter
Wooden Lazer etched Map - Gift
Type Writer
Playboy issue 1990
Programable Circuit Board
Photo of Atomic Flight crew.
Earings


Purity Tyler, known to all as Pip, is an outspoken, forthright young woman struggling to make a life for herself. She sleeps in an rickety commune in Oakland. She's in love with an unavailable older man and is saddled with staggering college debt. She has a crazy mother and doesn't know who her father is. A chance encounter leads her to an internship in South America with the world-famous Sunlight Project, which uses the internet to expose government and corporate fraud and malfeasance. TSP is the brainchild of Andreas Wolf, a charismatic genius who grew up privileged but disaffected in the German Democratic Republic. Forced to run TSP in Bolivia because of the hostility of European nations whose misdeeds he has exposed, Andreas is drawn to Pip for reasons she doesn't understand. Like numerous women before her, she becomes obsessed with Andreas, and they have an intense, unsettling relationship. Eventually, he finds her work at an online magazine in Denver with Tom Aberant, who, with his life partner, Leila Helou, uses old-fashioned reporting to achieve some of the same results that TSP seems to pull out of thin air.
That's the top story. What lies underneath is a wild tale of hidden identities, secret wealth, neurotic fidelity, sociopathy and murder. The truth of Pip's parentage lies at the center of this maelstrom, but before it is resolved Franzen takes us from the rain-drenched forests of northern California, to paranoid East Berlin before the fall of the Wall, to the paradisiacal mountain valleys of Bolivia, exposing us to the vagaries of radical politics, the problematic seductions of the internet, and the no-holds-barred war between the sexes.
"Oh pussycat, I'm so glad to hear your voice," the girl's mother said on the telephone. "My body is betraying me again. Sometimes I think my life is nothing but one long process of bodily betrayal."