Connect
For windows users; You need to
install usb driver
Take a screenshot
Download
It doesn't work?
Screenshot command
You can set screenshot command manually.
About your device
Please feel free to aske me with above text when you got trouble.


UI Slug Element
This is the slug element component
You can fix an element when scroll down at determinated position and move it when scroll up. Customize it!!!
You can fix an element when scroll down at determinated position and move it when scroll up. Customize it!!!
This element will be fixed and cloned


Effective RNNs: A Guide to Recurrent Neural Networks with Examples in Tensorflow July 30, 2017 Read More


Peskas
Peskas is an advanced intelligence platform for artisanal fisheries. Peskas was built with the objectives of being low cost, open source, open access and near-real time.
Timor-Leste
Peskas in Timor-Leste was initiated in 2016 in partnership with the Timor-Leste Ministry of Agriculture and Fisheries and it is the official fisheries national monitoring system of Timor-Leste. The project leverages on a team of Timorese enumerators collecting catch data from fishers around Timor-Leste. These data are matched with vessel tracking data to show fishing trends over time and space.


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| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object | +--java.lang.ClassLoader | +--java.security.SecureClassLoader | +--java.net.URLClassLoader | +--org.apache.catalina.loader.StandardClassLoader
Subclass implementation of java.net.URLClassLoader that knows how
to load classes from disk directories, as well as local and remote JAR
files. It also implements the Reloader
interface, to provide
automatic reloading support to the associated loader.
In all cases, URLs must conform to the contract specified by
URLClassLoader
- any URL that ends with a "/" character is
assumed to represent a directory; all other URLs are assumed to be the
address of a JAR file.
IMPLEMENTATION NOTE - Local repositories are searched in
the order they are added via the initial constructor and/or any subsequent
calls to addRepository()
.
IMPLEMENTATION NOTE - At present, there are no dependencies from this class to any other Catalina class, so that it could be used independently.
| Field Summary | |
protected java.util.ArrayList |
available
The set of optional packages (formerly standard extensions) that are available in the repositories associated with this class loader. |
protected java.util.HashMap |
classCache
The cache of ClassCacheEntries for classes we have loaded locally, keyed by class name. |
protected int |
debug
The debugging detail level of this component. |
protected boolean |
delegate
Should this class loader delegate to the parent class loader before searching its own repositories (i.e. the usual Java2 delegation model)? |
protected java.net.URLStreamHandlerFactory |
factory
URL stream handler for additional protocols. |
protected java.lang.String[] |
repositories
The list of local repositories, in the order they should be searched for locally loaded classes or resources. |
protected java.util.ArrayList |
required
The set of optional packages (formerly standard extensions) that are required in the repositories associated with this class loader. |
| Constructor Summary | |
StandardClassLoader()
Construct a new ClassLoader with no defined repositories and no parent ClassLoader. |
|
StandardClassLoader(java.lang.ClassLoader parent)
Construct a new ClassLoader with no defined repositories and the specified parent ClassLoader. |
|
StandardClassLoader(java.lang.ClassLoader parent,
java.net.URLStreamHandlerFactory factory)
Construct a new ClassLoader with no defined repositories and the specified parent ClassLoader. |
|
StandardClassLoader(java.lang.String[] repositories)
Construct a new ClassLoader with the specified repositories and no parent ClassLoader. |
|
StandardClassLoader(java.lang.String[] repositories,
java.lang.ClassLoader parent)
Construct a new ClassLoader with the specified repositories and parent ClassLoader. |
|
StandardClassLoader(java.net.URL[] repositories,
java.lang.ClassLoader parent)
Construct a new ClassLoader with the specified repositories and parent ClassLoader. |
|
StandardClassLoader(java.net.URLStreamHandlerFactory factory)
Construct a new ClassLoader with no defined repositories and no parent ClassLoader, but with a stream handler factory. |
| Method Summary | |
void |
addRepository(java.lang.String repository)
Add a new repository to the set of places this ClassLoader can look for classes to be loaded. |
protected void |
addRepositoryInternal(java.lang.String repository)
Add a repository to our internal array only. |
protected static java.net.URL[] |
convert(java.lang.String[] input)
Convert an array of String to an array of URL and return it. |
protected static java.net.URL[] |
convert(java.lang.String[] input,
java.net.URLStreamHandlerFactory factory)
Convert an array of String to an array of URL and return it. |
Extension[] |
findAvailable()
Return a list of "optional packages" (formerly "standard extensions") that have been declared to be available in the repositories associated with this class loader, plus any parent class loader implemented with the same class. |
java.lang.Class |
findClass(java.lang.String name)
Find the specified class in our local repositories, if possible. |
protected java.io.InputStream |
findLoadedResource(java.lang.String name)
Finds the resource with the given name if it has previously been loaded and cached by this class loader, and return an input stream to the resource data. |
java.lang.String[] |
findRepositories()
Return a String array of the current repositories for this class loader. |
Extension[] |
findRequired()
Return a list of "optional packages" (formerly "standard extensions") that have been declared to be required in the repositories associated with this class loader, plus any parent class loader implemented with the same class. |
java.net.URL |
findResource(java.lang.String name)
Find the specified resource in our local repository, and return a URL refering to it, or null if this resource
cannot be found. |
java.util.Enumeration |
findResources(java.lang.String name)
Return an enumeration of URLs representing all of the
resources with the given name. |
int |
getDebug()
Return the debugging detail level for this component. |
boolean |
getDelegate()
Return the "delegate first" flag for this class loader. |
protected java.security.PermissionCollection |
getPermissions(java.security.CodeSource codeSource)
Get the Permissions for a CodeSource. |
java.net.URL |
getResource(java.lang.String name)
Find the resource with the given name. |
java.io.InputStream |
getResourceAsStream(java.lang.String name)
Find the resource with the given name, and return an input stream that can be used for reading it. |
java.lang.Class |
loadClass(java.lang.String name)
Load the class with the specified name. |
java.lang.Class |
loadClass(java.lang.String name,
boolean resolve)
Load the class with the specified name, searching using the following algorithm until it finds and returns the class. |
boolean |
modified()
Have one or more classes or resources been modified so that a reload is appropriate? |
protected static java.lang.String |
parseProtocol(java.lang.String spec)
Parse URL protocol. |
void |
setDebug(int debug)
Set the debugging detail level for this component. |
void |
setDelegate(boolean delegate)
Set the "delegate first" flag for this class loader. |
void |
setPermissions(java.lang.String path)
If there is a Java SecurityManager create a read FilePermission or JndiPermission for the file directory path. |
void |
setPermissions(java.net.URL url)
If there is a Java SecurityManager add a read FilePermission or JndiPermission for URL. |
java.lang.String |
toString()
Render a String representation of this object. |
| Methods inherited from class java.net.URLClassLoader |
addURL, definePackage, getURLs, newInstance, newInstance |
| Methods inherited from class java.security.SecureClassLoader |
defineClass |
| Methods inherited from class java.lang.ClassLoader |
clearAssertionStatus, defineClass, defineClass, defineClass, definePackage, findLibrary, findLoadedClass, findSystemClass, getPackage, getPackages, getParent, getResources, getSystemClassLoader, getSystemResource, getSystemResourceAsStream, getSystemResources, resolveClass, setClassAssertionStatus, setDefaultAssertionStatus, setPackageAssertionStatus, setSigners |
| Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait |
| Field Detail |
protected java.util.ArrayList available
org.apache.catalina.loader.Extension
.
protected java.util.HashMap classCache
protected int debug
protected boolean delegate
false
,
this class loader will search its own repositories first, and
delegate to the parent only if the class or resource is not
found locally.
protected java.lang.String[] repositories
protected java.util.ArrayList required
org.apache.catalina.loader.Extension
.
protected java.net.URLStreamHandlerFactory factory
| Constructor Detail |
public StandardClassLoader()
public StandardClassLoader(java.net.URLStreamHandlerFactory factory)
factory
- the URLStreamHandlerFactory to use when creating URLspublic StandardClassLoader(java.lang.ClassLoader parent)
parent
- The parent ClassLoaderpublic StandardClassLoader(java.lang.ClassLoader parent, java.net.URLStreamHandlerFactory factory)
parent
- The parent ClassLoaderfactory
- the URLStreamHandlerFactory to use when creating URLspublic StandardClassLoader(java.lang.String[] repositories)
repositories
- The initial set of repositoriespublic StandardClassLoader(java.lang.String[] repositories, java.lang.ClassLoader parent)
repositories
- The initial set of repositoriesparent
- The parent ClassLoaderpublic StandardClassLoader(java.net.URL[] repositories, java.lang.ClassLoader parent)
repositories
- The initial set of repositoriesparent
- The parent ClassLoader| Method Detail |
public int getDebug()
public void setDebug(int debug)
debug
- The new debugging detail levelpublic boolean getDelegate()
public void setDelegate(boolean delegate)
delegate
- The new "delegate first" flagpublic void setPermissions(java.lang.String path)
path
- file directory pathpublic void setPermissions(java.net.URL url)
url
- URL for a file or directory on local systempublic void addRepository(java.lang.String repository)
addRepository
in interface Reloader
repository
- Name of a source of classes to be loaded, such as a
directory pathname, a JAR file pathname, or a ZIP file pathname
java.lang.IllegalArgumentException
- if the specified repository is
invalid or does not existpublic Extension[] findAvailable()
public java.lang.String[] findRepositories()
findRepositories
in interface Reloader
public Extension[] findRequired()
public boolean modified()
IMPLEMENTATION NOTE - We assume that anything loaded from a JAR file will never need to be reloaded unless the JAR file itself has been updated. Unpacked classes or resources loaded from a directory are checked individually.
modified
in interface Reloader
public java.lang.String toString()
toString
in class java.lang.Object
public java.lang.Class findClass(java.lang.String name) throws java.lang.ClassNotFoundException
ClassNotFoundException
.
findClass
in class java.net.URLClassLoader
name
- Name of the class to be loaded
java.lang.ClassNotFoundException
- if the class was not foundpublic java.net.URL findResource(java.lang.String name)
URL
refering to it, or null
if this resource
cannot be found.
findResource
in class java.net.URLClassLoader
name
- Name of the resource to be foundpublic java.util.Enumeration findResources(java.lang.String name) throws java.io.IOException
URLs
representing all of the
resources with the given name. If no resources with this name are
found, return an empty enumeration.
findResources
in class java.net.URLClassLoader
name
- Name of the resources to be found
java.io.IOException
- if an input/output error occurspublic java.net.URL getResource(java.lang.String name)
null
.
This method searches according to the following algorithm, returning
as soon as it finds the appropriate URL. If the resource cannot be
found, returns null
.
delegate
property is set to true
,
call the getResource()
method of the parent class
loader, if any.findResource()
to find this resource in our
locally defined repositories.getResource()
method of the parent class
loader, if any.
getResource
in class java.lang.ClassLoader
name
- Name of the resource to return a URL forpublic java.io.InputStream getResourceAsStream(java.lang.String name)
getResource()
, after checking to see if the resource
data has been previously cached. If the resource cannot be found,
return null
.
getResourceAsStream
in class java.lang.ClassLoader
name
- Name of the resource to return an input stream forpublic java.lang.Class loadClass(java.lang.String name) throws java.lang.ClassNotFoundException
loadClass(String, boolean)
with false
as the second argument.
loadClass
in class java.lang.ClassLoader
name
- Name of the class to be loaded
java.lang.ClassNotFoundException
- if the class was not foundpublic java.lang.Class loadClass(java.lang.String name, boolean resolve) throws java.lang.ClassNotFoundException
ClassNotFoundException
.
findLoadedClass(String)
to check if the
class has already been loaded. If it has, the same
Class
object is returned.delegate
property is set to true
,
call the loadClass()
method of the parent class
loader, if any.findClass()
to find this class in our locally
defined repositories.loadClass()
method of our parent
class loader, if any.resolve
flag is true
, this method will then
call resolveClass(Class)
on the resulting Class object.
loadClass
in class java.lang.ClassLoader
name
- Name of the class to be loadedresolve
- If true
then resolve the class
java.lang.ClassNotFoundException
- if the class was not foundprotected final java.security.PermissionCollection getPermissions(java.security.CodeSource codeSource)
getPermissions
in class java.net.URLClassLoader
protected static java.lang.String parseProtocol(java.lang.String spec)
protected void addRepositoryInternal(java.lang.String repository)
repository
- The new repository
java.lang.IllegalArgumentException
- if the manifest of a JAR file
cannot be processed correctlyprotected static java.net.URL[] convert(java.lang.String[] input)
input
- The array of String to be convertedprotected static java.net.URL[] convert(java.lang.String[] input, java.net.URLStreamHandlerFactory factory)
input
- The array of String to be convertedfactory
- Handler factory to use to generate the URLsprotected java.io.InputStream findLoadedResource(java.lang.String name)
null
.
name
- Name of the resource to return
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| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


{# Show the navigation fragment if there are some entries #}
{% include 'patientlogs/entry_nav_fragment.html' %}
{% endif %}
{#
#}
{# This if statement checks if there are no entries to show a friendly message #}
{% if entries.count == 0 %}
{% if not loggerfilter and not tagfilter and not resfilter %}
No Entries yet... Hit the
button above to write the first one!
{% else %}
No Entries with these filters...
Remove them at the top right or hit the
button above to write the first one!
{% endif %}
{% endif %}
{# This for loop renders an entry card for each entry in the log #}
{% for entry in entries %}
{% include 'patientlogs/entry_fragment.html' %}
{% endfor %}
{#
#}
{% include 'patientlogs/filter_display_fragment.html' %}
{% include 'patientlogs/filter_fragment.html' %}
{% if not detail and not entries.all|length == 0 %}
Use the arrows to see the details of the entries here.
{% endif %}
{% include 'patientlogs/entry_detail.html' %}


User Stories
US-12345: Search UFO sightings locations Form
Description: Add a new form for searching the locations of the UFO sighting based on various search criteria
Summary: Create a new form to search the locations of UFO sightings across the globe using the search criteria shown in the wireframe.
Quantity must be 1 or more!
Adding to cart...
Adding to the cart...
© 2019 Dinesh Velhal
Coordinates:
Thanks To
Home


Toggle navigation
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Suresh Kumar
Edit Profile
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Registration
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Config


Serialized Form
-
Package <Unnamed>
-
Class DefensePlayer extends Player implements Serializable
-
Serialized Fields
-
deflecting_ability
double deflecting_ability
Fields
-
-
-
Class DuplicatedPlayerException extends Exception implements Serializable
-
Class FrontPlayer extends Player implements Serializable
-
Serialized Fields
-
finishing_ability
double finishing_ability
Field
-
-
-
Class Game extends Object implements Serializable
-
Serialized Fields
-
attack_ability_team_1
double attack_ability_team_1
-
attack_ability_team_2
double attack_ability_team_2
-
attackerTeam
boolean attackerTeam
-
defense_ability_team_1
double defense_ability_team_1
-
defense_ability_team_2
double defense_ability_team_2
-
half
boolean half
-
listPlayersT1
List<Integer> listPlayersT1
-
listPlayersT2
List<Integer> listPlayersT2
-
score_team_1
int score_team_1
Fields -
score_team_2
int score_team_2
-
startTeam
boolean startTeam
-
subsT1
Map<Integer,Integer> subsT1
-
subsT2
Map<Integer,Integer> subsT2
-
teams
Map<Integer,Team> teams
-
time
double time
-
-
-
Class GameHistory extends Object implements Serializable
-
Class GoalKeeper extends Player implements Serializable
-
Serialized Fields
-
elasticity
double elasticity
Fields
-
-
-
Class ImpossibleGameStateException extends Exception implements Serializable
-
Class MainPlayersList extends Object implements Serializable
-
Class MiddlePlayer extends Player implements Serializable
-
Serialized Fields
-
ball_recovery
double ball_recovery
Fields
-
-
-
Class Player extends Object implements Serializable
-
Class Team extends Object implements Serializable
-
Serialized Fields
-
main_players
MainPlayersList main_players
-
name
String name
Fields -
substitutes
Map<Integer,Player> substitutes
-
-
-
Class WingerPlayer extends Player implements Serializable
-
Serialized Fields
-
crossing_ability
double crossing_ability
Fields
-
-
-
Class WrongLineException extends Exception implements Serializable
-


com.bizosys.hsearch.schema
Interface ILanguageMap
- All Known Implementing Classes:
- EnglishMap
public interface ILanguageMap
Multiple languages will implement the language map.
The language map will enable mapping of the word of
various languages to the respective schema inverted index
table, column family and column qualifier.
- Author:
- karan
COL_A
static final char COL_A
- See Also:
- Constant Field Values
COL_B
static final char COL_B
- See Also:
- Constant Field Values
COL_C
static final char COL_C
- See Also:
- Constant Field Values
COL_D
static final char COL_D
- See Also:
- Constant Field Values
COL_E
static final char COL_E
- See Also:
- Constant Field Values
COL_F
static final char COL_F
- See Also:
- Constant Field Values
COL_G
static final char COL_G
- See Also:
- Constant Field Values
COL_H
static final char COL_H
- See Also:
- Constant Field Values
COL_I
static final char COL_I
- See Also:
- Constant Field Values
COL_J
static final char COL_J
- See Also:
- Constant Field Values
COL_K
static final char COL_K
- See Also:
- Constant Field Values
COL_L
static final char COL_L
- See Also:
- Constant Field Values
COL_M
static final char COL_M
- See Also:
- Constant Field Values
COL_N
static final char COL_N
- See Also:
- Constant Field Values
COL_O
static final char COL_O
- See Also:
- Constant Field Values
COL_P
static final char COL_P
- See Also:
- Constant Field Values
COL_Q
static final char COL_Q
- See Also:
- Constant Field Values
COL_R
static final char COL_R
- See Also:
- Constant Field Values
COL_S
static final char COL_S
- See Also:
- Constant Field Values
COL_T
static final char COL_T
- See Also:
- Constant Field Values
COL_Z
static final char COL_Z
- See Also:
- Constant Field Values
COL_0
static final char COL_0
- See Also:
- Constant Field Values
COL_1
static final char COL_1
- See Also:
- Constant Field Values
COL_2
static final char COL_2
- See Also:
- Constant Field Values
COL_3
static final char COL_3
- See Also:
- Constant Field Values
COL_4
static final char COL_4
- See Also:
- Constant Field Values
COL_5
static final char COL_5
- See Also:
- Constant Field Values
COL_6
static final char COL_6
- See Also:
- Constant Field Values
COL_7
static final char COL_7
- See Also:
- Constant Field Values
COL_8
static final char COL_8
- See Also:
- Constant Field Values
COL_9
static final char COL_9
- See Also:
- Constant Field Values
COL_OTHERS
static final char COL_OTHERS
- See Also:
- Constant Field Values
ALL_COLS
static final char[] ALL_COLS
FAM_3
static final char FAM_3
- See Also:
- Constant Field Values
FAM_4
static final char FAM_4
- See Also:
- Constant Field Values
FAM_5
static final char FAM_5
- See Also:
- Constant Field Values
FAM_6
static final char FAM_6
- See Also:
- Constant Field Values
FAM_7
static final char FAM_7
- See Also:
- Constant Field Values
FAM_8
static final char FAM_8
- See Also:
- Constant Field Values
FAM_9
static final char FAM_9
- See Also:
- Constant Field Values
FAM_10
static final char FAM_10
- See Also:
- Constant Field Values
ALL_FAMS
static final char[] ALL_FAMS
ALL_TABLES
static final char[] ALL_TABLES
getTableName
char getTableName(java.lang.String word)
getColumnFamily
char getColumnFamily(java.lang.String word)
getColumn
char getColumn(java.lang.String word)


Introduction
Intelligent agents are constantly generating, acquiring, and processing data. This data could be in the form of images that we capture on our phones, text messages we share with our friends, graphs that model interactions on social media, or videos that record important events. Natural agents excel at discovering patterns, extracting knowledge, and performing complex reasoning based on the data they observe. How can we build artificial learning systems to do the same?
In this course, we will study generative models that view the world under the lens of probability. In such a worldview, we can think of any kind of observed data, say , as a finite set of samples from an underlying distribution, say . At its very core, the goal of any generative model is then to approximate this data distribution given access to the dataset . The hope is that if we can learn a good generative model, we can use the learned model for downstream inference.
Learning
We will be primarily interested in parametric approximations to the data distribution, which summarize all the information about the dataset in a finite set of parameters. In contrast with non-parametric models, parametric models scale more efficiently with large datasets but are limited in the family of distributions they can represent.
In the parametric setting, we can think of the task of learning a generative model as picking the parameters within a family of model distributions that minimizes some notion of distance1 between the model distribution and data distribution.
For instance, we might be given access to a dataset of dog images and our goal is to learn the parameters of a generative model within a model family such that the model distribution is close to the data distribution over dogs . Mathematically, we can specify our goal as the following optimization problem: \begin{equation} \min_{\theta\in \mathcal{M}}d(p_{\mathrm{data}}, p_{\theta}) \label{eq:learning_gm} \tag{1} \end{equation}where is accessed via the dataset and is a notion of distance between probability distributions.
As we navigate through this course, it is interesting to take note of the difficulty of the problem at hand. A typical image from a modern phone camera has a resolution of approximately pixels. Each pixel has three channels: R(ed), G(reen) and B(lue) and each channel can take a value between 0 to 255. Hence, the number of possible images is given by . In contrast, ImageNet, one of the largest publicly available datasets, consists of only about 15 million images. Hence, learning a generative model with such a limited dataset is a highly underdetermined problem.
Fortunately, the real world is highly structured and automatically discovering the underlying structure is key to learning generative models. For example, we can hope to learn some basic artifacts about dogs even with just a few images: two eyes, two ears, fur, etc. Instead of incorporating this prior knowledge explicitly, we will hope the model learns the underlying structure directly from data. There is no free lunch, however, and indeed successful learning of generative models will involve instantiating the optimization problem in in a suitable way. In this course, we will be primarily interested in the following questions:
- What is the representation for the model family ?
- What is the objective function ?
- What is the optimization procedure for minimizing ?
In the next few lectures, we will take a deeper dive into certain families of generative models. For each model family, we will note how the representation relates to the choice of learning objective and the optimization procedure.
Inference
For a discriminative model such as logistic regression, the fundamental inference task is to predict a label for any given datapoint. Generative models, on the other hand, learn a joint distribution over the entire data.2
While the range of applications to which generative models have been used continue to grow, we can identify three fundamental inference queries for evaluating a generative model:
-
Density estimation: Given a datapoint , what is the probability assigned by the model, i.e., ?
-
Sampling: How can we generate novel data from the model distribution, i.e., ?
-
Unsupervised representation learning: How can we learn meaningful feature representations for a datapoint ?
Going back to our example of learning a generative model over dog images, we can intuitively expect a good generative model to work as follows. For density estimation, we expect to be high for dog images and low otherwise. Alluding to the name generative model, sampling involves generating novel images of dogs beyond the ones we observe in our dataset. Finally, representation learning can help discover high-level structure in the data such as the breed of dogs.
In light of the above inference tasks, we note two caveats. First, quantitative evaluation of generative models on these tasks is itself non-trivial (in particular, sampling and representation learning) and an area of active research. Some quantitative metrics exist, but these metrics often fail to reflect desirable qualitative attributes in the generated samples and the learned representations. Secondly, not all model families permit efficient and accurate inference on all these tasks. Indeed, the trade-offs in the inference capabilities of the current generative models have led to the development of very diverse approaches as we shall see in this course.
Footnotes
-
As we shall see later, functions that do not satisfy all properties of a distance metric are also used in practice, e.g., KL divergence. ↩
-
Technically, a probabilistic discriminative model is also a generative model of the labels conditioned on the data. However, the usage of the term generative models is typically reserved for high dimensional data. ↩


A short heading
The idea of reaching the North Pole by means of balloons appears to have been entertained many years ago.
The idea of reaching the North Pole by means of balloons appears to have been entertained many years ago.
Short content.
In a curious work, published in Paris in 1863 by Delaville Dedreux, there is a suggestion for reaching the North Pole by an aerostat.
The idea of reaching the North Pole by means of balloons appears to have been entertained many years ago.


|
Gephi Toolkit Javadoc | ||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
public interface FilterController
Use filters and queries for filtering the Graph. This controller manages
FilterModel
instances. A model is defined for each workspace.
This controller is a singleton and can therefore be found in Lookup:
FilterController fc = Lookup.getDefault().lookup(FilterController.class);
The controller has two ways to execute filtering, a one-shot one that
immediately returns the GraphView
and a more complex one suitable
for user interface interaction, with live parameter change.
The one-shot filtering can be executed like below:
Filter filter = ... Query query = controller.createQuery(filter); GraphView view = controller.filter(query);The normal mode is to call
filterVisible(org.gephi.filters.api.Query)
which let this controller manage the execution. The benefit of this of this mode
is that properties change on filters are listened and filtering is automatically
reexecuted if values changes. See how to execute a filter with two different
values:
Filter filter = ... filter.getProperties()[0].setValue(1); //Set value 1, for example a threshold Query query = controller.createQuery(filter); controller.add(query); controller.filterVisible(query); //A background thread executes the query filter.getProperties[0].setValue(2) //The background thread reexecute the query
GraphView
| Method Summary | |
|---|---|
void |
add(Query query)
Adds query as a new query in the system. |
Query |
createQuery(Filter filter)
Creates a query from filter . |
void |
exportToColumn(java.lang.String title,
Query query)
Exports query result in a new column title . |
void |
exportToLabelVisible(Query query)
Exports query result to visible/hidden labels. |
void |
exportToNewWorkspace(Query query)
Exports query result in a new workspace. |
GraphView |
filter(Query query)
Filtering method for API users. |
void |
filterVisible(Query query)
Filters main graph with query and set result as the new
visible graph. |
FilterModel |
getModel()
Returns the filter's model. |
FilterModel |
getModel(Workspace workspace)
Returns the filter's model for workspace . |
void |
remove(Query query)
Removes query from the systemn if exists. |
void |
removeSubQuery(Query query,
Query parent)
Removes query from parent query. |
void |
rename(Query query,
java.lang.String name)
Renames query with name . |
void |
selectVisible(Query query)
Selects query results on the main graph visualization
window. |
void |
setAutoRefresh(boolean autoRefresh)
|
void |
setCurrentQuery(Query query)
|
void |
setSubQuery(Query query,
Query subQuery)
Sets subQuery as a child of query . |
| Method Detail |
|---|
Query createQuery(Filter filter)
filter
. The created query is a root query.
filter
- the filter that is to be wrapped in a new query
filter
void add(Query query)
query
as a new query in the system. The query should be
a root query.
query
- the query that is to be addedvoid remove(Query query)
query
from the systemn if exists.
query
- the query that is to be removedvoid rename(Query query, java.lang.String name)
query
with name
.
query
- the query that is to be renamedname
- the new query's namevoid setSubQuery(Query query, Query subQuery)
subQuery
as a child of query
. If
subQuery
already has a parent query, it will be removed first.
query
- the query that subQuery
is to be added
as a new childsubQuery
- the query that is to be added as a child of
query
void removeSubQuery(Query query, Query parent)
query
from parent
query.
query
- the query that is to be removed from parent
parent
- the query that query
is to be removed as
a childvoid filterVisible(Query query)
query
and set result as the new
visible graph. Note that the query will be executed in a background thread
and results delivered as soon as ready. Then, query
is defined
as the currently active query and property's value changes are watched.
If a query's property is changed the query is automatically reexecuted.
query
- the query that is to be executedvoid selectVisible(Query query)
query
results on the main graph visualization
window. Note that the query will be executed in a background thread
and results delivered as soon as ready. Then, query
is defined
as the currently active query and property's value changes are watched.
If a query's property is changed the query is automatically reexecuted.
query
- the query that is to be executedGraphView filter(Query query)
query
is executed and
the GraphView
result is returned.
query
- the query that is to be executed
void exportToColumn(java.lang.String title, Query query)
query
result in a new column title
.
Nodes and edges that pass the query
have true value and
false for others.
title
- the column's titlequery
- the query that is to be executedvoid exportToNewWorkspace(Query query)
query
result in a new workspace. Note that query is
executed in a separate thread and the workspace may not be ready immediately
when this method returns.
query
- the query that is to be executedvoid exportToLabelVisible(Query query)
query
result to visible/hidden labels. Each node and
edge not present in the query result has its label set hidden. Label
visibility is controlled from TextData
object, accessible from
NodeData
or EdgeData
.
query
- the query that is to be used to hide labelsvoid setAutoRefresh(boolean autoRefresh)
void setCurrentQuery(Query query)
FilterModel getModel()
FilterModel getModel(Workspace workspace)
workspace
.
|
Gephi Toolkit Javadoc | ||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


{% macro analytics(account) -%}
{% endmacro %}
{% macro uanalytics(id, options='auto', domain=None) %}
{# The uanalytics macro currently contains a hack to support legacy code.
The old signature was ``uanalytics(id, domain)`` when domain was a required
parameter that was passed on to the ga() function.
To preserve old behavior, if options is not a dictionary, it is passed on
unchanged. The ``domain`` parameter is added to not break calls with named
parameters, it will override any other value for options.
More modern code can simply pass any desired option to the analytics
function as desired.
#}
{%- if domain != None %}
{%- set options = domain %}
{%- endif %}
{% endmacro %}


https://radiocut.fm
Guillermo Narvaja (@gnarvaja)
2004
"SAP for book shops and publishers"
Born fuck-up
Hyper optimistic estimation
One year for the MVP
Low price for early adopters
Within a week of running out of money
30 months later: the things started to work
Hard decision
Drop a business branch
-25% revenues
Radical change in my life
Finally, higher profits
Scalability & Profit
From a founder perspective
Happy ending
Still running
Half-acquisition
Freedom
Thanks!


Hello, my name is Mir and I am currently a second-year student studying computer science. Here you will find my experiences, projects, and some of my extracurriculars
Hello, my name is Mir and I am currently a second-year student studying computer science. Here you will find my experiences, projects, and some of my extracurriculars
I built a front-end interface that would allow students with physical disabilites to speak into their computer and have their speech converted into text.
I used Python to test APIs and read/ write CSV and text files containing data of 2,000+ customers. I also redeisgned the documention site for the company.
| Tip Calculator | Flix- Movie Browser | Twitter Clone | Parstagram |
|---|---|---|---|
| An iOS application that allows the user to input their bill amount and choose how much they want to tip. The app then displays the tip amount and the total amount due. (Built with XCode and Swift) | Flix is an app that allows the user to view movies that are currently playing. The user can tap on a movie poster to get more information about that movie. The user can also view movies from the "superhero" genre by tap the icon at the bottom right. (Built with XCode, Swift, and the Movie Database API) | This a basic Twitter app to view, compose, favorite, and retweet tweets. (Built with XCode, Swift, and Twitter API) | This app is a clone of Instagram with a custom Parse backend that allows a user to post photos and view a global photos feed.(Built with XCode, Swift, and Back 4 App Parse Server) |
| To-Do App | Flix- Movie Browser | Twitter Clone |
|---|---|---|
| This An android application that allows the user to build a todo list and perform basic todo items management functionality including adding new items and editing/ deleting an existing item.(Built with Android Studio and Java) | Flix is an android app that allows the user to view movies that are currently playing. The user can tap on a movie poster to get more information about that movie including a synopsis, rating, and trailer. (Built with Android Studio, Java, Movie Database API, Android Async HTTP, Glide) | This a basic Twitter app to view their Twitter timeline. (Built with Android Studio, Java, Movie Database API, Android Async HTTP, Glide) |
I am currently leading a group to develop a web application which will be Stony Brook University's official platform for managing clubs and student organizations
I am the the co-founder and co-instructor of Stony Brook University's iOS Application Development Course. I took the initiative to bring CodePath's free iOS course with a curriculum designed by Apple engineers to my university. As co-instructor, I teach a cohort of 40 undergraduate students (freshmen to senior) how to build iOS applications using XCode and Swift.
I am a peer mentor for America on Tech's Tech Flex Leader's Program, where I help students learn the basics of computer science through HTML, CSS, and JavaScript.
I am the Branding Manager and an executive board member of the my university's computer science club. I am in charge of all of the digital marketing of the club. I have also led 6 out of the 15 major events that we have held recently.
Click here to get a random quote:


Most commonly, a collection contains all of the images from a single study.


Some fun facts about Rayn. He is a cool dude. He travels a lot. He studies Urban and Environmental Planning. Etc.
A Powerhouse of Excellence
The Omicon Chapter of Zeta Beta Tau was founded in 1987 at Tufts University. In the small room of 102 Hill Hall, our first four founders met to plan out the future of the chapter. Since that point, ZBT Omicron has enjoyed over 25 years of great memories, philanthropic efforts and social events at Tufts University.
Since its founding, ZBT Omicron has seen success, a success that has continued over the past few years. We have fundraised tens of thousands of dollars for the Boston Children's Hospital, received national awards and accolades like Most Improved ZBT Chapter from ZBT Nationals, and maintained our commitment to being Tufts' only non-pledging fraternity.
We, the members of Zeta Beta Tau fraternity, believe that the development of the individual as a responsible, mature member of society is the primary goal of the university today. We believe that fraternity offers to the university community a unique, desirable and successful means of achieving this goal. In fulfilling the purposes of fraternity, we dedicate ourselves to the principles of Intellectual Awareness, Social Responsibility, Integrity, and Brotherly Love.
Get On The Ball is ZBT Omicron's weeklong fundraiser for the Boston Children's Hospital. During the week, we raise money and awareness for the Hospital, rolling a 6x6 ball around campus. We get the entire Tufts and Medford/Somerville community involved, taking all contributions from monetary donations to just signing the ball.
Last year, in 2013 we raised $5500 during our weeklong fundraiser, cosponsoring with countless businesses (JP Licks, Kickass Cupcakes) and working with several on-campus groups (Alpha Omicron Pi, Spirit of Color, sQ!, Amalgamates, Jackson Jills, BEATs, S-Factor and more).
Be The Match
In April 2014, ZBT Omicron brought Be The Match to Tufts University. In cosponsorship with the Tufts Association of Southeast Asians and the Tufts Psychology Department, ZBT helped enter over fifty members of the Tufts community into the bone marrow registry. Those who entered the registry potentially helped the lives of many.
Bringing Be the Match to the Tufts Campus was a part of Tufts Gives Back, the one day of the year dedicated to giving back to the community. Tufts Gives Back was created by ZBT, and 2014 was its inaugural year.
Relay for Life
Every year, brothers of ZBT Omicron participate in Relay for Life – an up-all-night fight against cancer, and a fundraiser for cancer research. In 2013, we fundraised the most for any fraternity, and we received the bronze medal of honor in recognition for our efforts. In 2014, we placed second in the inter-Greek fundraising competition.
Check back soon for more information about how to donate to and join our Spring 2015 Relay for Life team.
More Than Words
In April 2014, ZBT Omicron partnered with More Than Words. More Than Words is bookstore that employs people from disadvantaged backgrounds and gives them interview training so that they can find jobs elsewhere. Over the course of a few days, we sold and collected books for More Than Words, donating all profits and books made to them.
Bringing More Than Words to the Tufts Campus was a part of Tufts Gives Back, the one day of the year dedicated to giving back to the community. Tufts Gives Back was created by ZBT, and 2014 was its inaugural year.
Community Servings
Brothers of ZBT Omicron volunteer at Community Servings several times a semester. Going in groups of 6-10, we spend our Friday afternoon packaging food for those battling AIDS, in addition to their dependents and caretakers. If you're ever interested in working a shift with us, reach out to brother Joseph Cirone
Through the help of us and the hundreds of other volunteers, Community Servings is able to deliver 9,250 lunches adn dinners each week to homes of almost 875 individuals and families that are homebound due to acute life-threatening illness.
Big Brothers, Big Sisters
Big Brothers, Big Sisters is dedicated to helping children realize their potential and build their futures. With one of our core tenets being Intellectual Awareness, us ZBT brothers are, too.
ZBT Omicron began its partnership with Big Brothers Big Sisters' Boston Chapter in the end of 2013. Since that point, several of our brothers have become bigs for students in local Boston-area school districts. Those brothers are committed to making a difference and strengthening the local children and community.
Committed to Social Responsibility
Spring Rush 2015
This year, our Spring Rush events will be as follows:
1. Tuesday, January 20th – 9:00pm
Come join the brothers of Zeta Beta Tau for a night of Super Smash Bros. and catered Chipotle! Play as your favorite character as you make new friends, enjoy burriots and get to know the brothers. See you at the house (126 Packard Ave.) at 9pm!
2. Thursday, January 22nd – 6:30pm
Enjoy a night of bowling, on us! Meet up at the house (126 Packard Ave.) a bit before 6:30, and head over to Some Bowling Place with us for a night you're sure to remember. We will also be providing pizza and drinks. Looking forward to seeing you there!
3. Saturday, January 24th – 6:30pm
Dine out with us at one of the best hot pot places in Porter Square! We will be meeting up at the house (126 Packard Ave.), and we'll then all head over to Some Asian Food Place together for dinner.
For more information or if you have any questions, please contact Ryan Hastings-Echo.
Brothers
Leadership
Beta Delta
Beta Zeta
Beta Eta
Beta Theta
Beta Iota
President: Matthew Felsenfeld
Vice President: Joseph Cirone
Brotherhood Development Director: Ryan Hastings-Echo


About
This site is a part of Sparks Foundations Internship tasks.
Find this site's source code - Visit Repository
Find this site's video demonstration - YouTube Video
Contact
| Submitted By | Aditya Yaduvanshi |
|<EMAIL_ADDRESS>| |
| Contact No. | +91<PHONE_NUMBER> |
| Github | adityayaduvanshi0001 |
| @AdityaY09354475 |
Login With Your Social Profiles


| SSW Update - Celebrate 20 years with us! |
|
|
[the cutting edge ]
G'day Developers!
I am proud to be able to say that I have been running the Sydney .NET User Group (previously
known as the Access and ASP user group) for over 20 years now. During that time we’ve had
some great and memorable speakers sharing information about a range of .Net topics. We’ve
kept evolving and we’re excited that our User Group is now being recorded and broadcast live
by our SSW TV team.
We’ll be celebrating 20 years at this month’s Sydney .Net User Group with speakers from the
US, Steve Smith (Wednesday) and Stephen Forte and Chris Sells (Thursday). This month will
also feature some great (and expensive) lucky door prizes from Telerik, DevExpress, and
Infragistics. You can come Wednesday or Thursday, or come on both days if you’re keen.
To view our anniversary video, check out my blog
Adam Cogan, SSW
Got a comment for Adam?
Email
Adam
Adam's
blog
@Adamcogan
|
3 Day Scrum Training is back!
Intensive Professional Scrum Developer Course
|
|
Intensive 3-day Professional Scrum Developer course
Brisbane, Sydney, Adelaide, Melbourne, Perth, Canberra
Cost: $2995 +GST Pre Paid
|
Professional Scrum Developer courses teach students how to work in a team, using modern software
engineering practices, to develop
an increment of potentially releasable functionality using a specific technology platform. Students
learn to do so within the Scrum
framework doing iterative incremental development.
Classes are exercise-driven, with students working in self-organizing teams to develop "done"
increments from Product Backlog items.
Course at a Glance
This 3-day Professional Scrum Developer .NET course is a mix of lecture, demonstration, group
discussion, simulation, and hands-on
software development. The bulk of the course will be spent working as a team on a case study
application delivering increments of new
functionality in mini-sprints. Here is the course at a glance:
Note: Scrum fundamentals are not covered in this 3-day course. If you are not experienced with Scrum
fundamentals, the 5
day course is still available.
Scrum either through working on a Scrum Team or through taking part in a Professional Scrum
Foundations course.
Brisbane 14 JAN 2013 |
|
Sydney 25 FEB 2013 |
|
Adelaide 8 APR 2013 |
|
Melbourne 20 MAY 2013 |
|
Perth 1 JULY 2013 |
|
Canberra 12 AUG 2013 |
|
Find out more and Register
|
Video
Top 5 Reasons Why You Should Never Use Web Forms Again
Find out in less than 4 minutes the Top 5 Reasons to ditch Web Forms and move over to MVC already!
#1 Testability – MVC provides true separation of concerns, and makes it easy to test the whole
application from Unit Tests to Coded UI Tests.
#2 Instant Pages – Get your admin pages up and running faster than ever with improved scaffolding.
Don’t get bogged down doing Create, Edit, Update, Delete.
#3 Better HTML Markup Control – Every layer of obstruction creates new problems down the track. When
so much development now involves jQuery or other JavaScript libraries, MVC simplifies development by
putting the developer back in charge of the HTML that is actually rendered.
#4 Simpler Debugging - This means that instead of complicated Webform lifecycles, your code either
goes into the Route, Controller or View, so you can jump right into coding without an intimate
knowledge of the page lifecycle.
#5 Mobile Support – With Adaptive Rendering, MVC allows the same User Interface to Render on
Different Devices, so users can check it out on their PC, their Tablet or even their Smart Phone.
Watch
more videos on SSW TV
|
Enterprise MVC Apps - 2 part course
Build real world applications from the ground up
Now running!
Enterprise MVC Apps Part I: Going beyond the demos
Cost: $330 +GST
Format: 1 day
|
The Model View Controller design pattern has been a proven and effective way of structuring
applications for more than 30 years. In 2007, Microsoft introduced ASP.NET MVC to the world and
since then, the framework has evolved into a mature and powerful way of writing dynamic web sites
and powerful web applications.
ASP.NET MVC provides a great way of structuring your application, ensuring a clean separation of
concerns, easy testability, and ultimate control over markup. It is quickly becoming the go-to
framework for writing .Net web applications.
Enterprise MVC Apps Part I: Going beyond the demos
This course will introduce you to the latest version of ASP.NET MVC version 4. Throughout the course,
attendees will be guided through building a full ASP.NET MVC application from scratch.
Read
more about Enterprise MVC Apps Part I
Perth: Microsoft Facility MON 4 MARCH 2013 |
|
Adelaide: Microsoft Facility THU 7 MARCH 2013 |
|
Melbourne: Microsoft Facility FRI 8 MARCH 2013 |
|
Brisbane: Microsoft Facility TUE 12 MARCH 2013 |
|
Sydney: SSW Neutral Bay WED 13 MARCH 2013 |
|
Online: Webinar - Only $80 + GST WED 13 MARCH 2013 |
|
This sellout course series will be run at 5 capital cities around Australia. Dates for Part 2 will
be announced next month.
|
Sydney .NET User Group - SPECIAL EVENT!
Celebrating 20 years of Sydney .NET User Groups
This month marks the 20th anniversary of the Sydney .NET User group!
The group has been around, in one form or another, for 20 years. It started as an Access User Group,
moved to ASP, and then finally .NET which is now also streaming Live!
To celebrate this landmark event, we’re having a special User Group this month on January 16th, with
drinks, festivities, door prizes, and of course another fantastic speaker.
We’re really proud of this and we hope you can join us.
Common Design Patterns - Steve Smith
Design Patterns provide common templates for solving the same family of problems in a similar way.
They also provide a higher-level language for software developers to use to describe approaches they
might choose when designing a component of an application. In this session, you'll learn about
several of the most common, and useful, design patterns used by .NET developers today.
About the Presenter
Steve Smith is a software developer with a passion for building quality software as
effectively as possible. He's also EVP, Services for Telerik. He's a Microsoft Regional Director and
MVP, a frequent speaker at developer conferences, an author, and a trainer. In the past he's
co-founded and sold Lake Quincy Media and NimblePros (recently acquired by Telerik). Steve's an
ex-Army Engineer officer and Iraq veteran who enjoys playing games and spending time outdoors.
http://about.me/stevenasmith
To see more details and RSVP, please visit our
Facebook .NET Group, our
LinkedIn .NET Group or our *NEW* Meetup
Group.
|
Sydney .NET User Group - BONUS SESSION!
The best place to learn .NET for free in Sydney
Intro to TypeScript - Chris Sells
TypeScript is a language for application-scale JavaScript development, providing a a typed superset
of JavaScript that compiles to plain JavaScript. TypeScript offers classes, modules, and interfaces
to help you build robust components. In this talk, Chris will be providing an introduction to the
new world of TypeScript and will show how it applies to Windows 8.
About the Presenter
Chris Sells in an independent consultant specializing in distributed applications in .NET and
COM, as well as an instructor for DevelopMentor. He's written several books and is currently working
on Essential Windows Forms for Addison-Wesley and Mastering Visual Studio .NET for O'Reilly. In his
free time, Chris hosts the Web Services DevCon, directs the Genghis source-available project, plays
with Rotor and, in general, makes a pest of himself at Microsoft design reviews. More information
about Chris, and his various projects, is available at www.sellsbrothers.com
To see more details and RSVP, please visit our
Facebook .NET Group, our
LinkedIn .NET Group or our *NEW* Meetup
Group.
|
Can't make it to the Sydney .NET User Group?
Watch the Live stream!
|
|
Tune in from anywhere!
Sydney .NET User Group Live
6PM AEDT (UTC+11)
The team at SSWTV are now streaming our User Group sessions live. Each session will also
be published on the SSWTV site after the event so you can review what was said in the
sessions.
|
This month we will be running 2 sessions and BOTH will be streamed live!
Our usual Wednesday session will be a celebration of the User Groups 20th year in existence as well
as a bonus session on Thursday with Chris Sells from Telerik visiting from the US.
|
SSW and Telerik NerdDinner
Where nerds meet and eat
SSW and Telerik invite you to join us for pizza at The Oaks. A fantastic opportunity for networking
with peers and sharing thoughts after the Sydney .NET User Group presentation.
Sydney .Net User Group and NerdDinner proudly sponsored by:
|
Canberra .NET User Group
The best place to learn .NET for free in Canberra
IL Weaving crash course
IL Weaving is the modification of a .net assembly through the manipulation of its Common Intermediate
Language (IL).
However it is better described by some examples of the things that can be achieved:
Merging assemblies: eg ILMerge or Costura Assembly obfuscation: eg eazfuscator Method timing: eg
MethodTimer Aspect Oriented Programming: eg PostSharp or SheepAspect Implementing
INotifyPropertyChanged eg NotifyPropertyWeaver Changing .net string comparisons to be case
insensitive eg Caseless
I will be walking through how IL Weaving works, how you can leverage weaving tools and how to build
tools that can manipulate IL.
About the Presenter
Simon Cropp is a programmer and all round computer nerd who is happily married to the Greek
goddess Helen. He works in Canberra Australia, mostly on large government department projects. He
works mostly in the Microsoft space but has dabbled in Apple and Linux/Unix. Simon has been
programming for 20 years and has some 10 year old code still in production.
He has an interest in keeping fit through mountain biking/running, cross-fit and a little time in the
gym and also misses the ocean.
You can visit Simon's blog at http://simoncropp.com/ although it
is not currently very active. Simon also has a Github
profile and most of the projects he contributes to can be found there.
Simon is currently interested in ILWeaving (with Fody) and
SOA (with NServiceBus)
Simon is happy to be contacted at any time via his Twitter or email.
To see more details and RSVP, please visit our
Facebook .NET Group, our
LinkedIn .NET Group or our *NEW* MeetUp
Group
Canberra .Net User Group proudly sponsored by:
|
Welcome to SSW
SSW would like to welcome a new employee to the team this month:
Brooke Rooney
Personal Assistant/Office Administrator - Sydney
Megan Weeks is leaving SSW to move to Texas and in a wonderfully ironic twist of fate, her new
replacement, Brooke Rooney, is an American from Knoxville, Tennessee. Having only been at the office
for a short time, Brooke is already known for her distinct Southern use of the word y’all, cranking
out 6 full pull-ups, and happily exposing her obsession with anything and everything Lord of the
Rings.
Brooke is very excited to be a contributing member of the SSW team. She hopes that her positive
energy and previous administrative experience will encourage more team effectiveness, and help Adam
breathe a little easier each day.
|
Advertise with SSW
If you would like to advertise your product or service with SSW or would like to
find out more about various advertising opportunities, please email your enquiry
to<EMAIL_ADDRESS>or call: +61 2 9953 3000.
|
|
January 2013
Employment
SharePoint 2013 Developer
Are you looking to establish a career working with the latest software technology for a large
range of great organisations?
SSW has been the leading Microsoft technology company in Sydney for 21 years. We require an
enthusiastic SharePoint developer to start ASAP.
Read more and Apply NOW...
Senior Web Designer
SSW is looking for a highly talented front-end Web Designer who is passionate about creating
great standards-based Web 2.0 sites. This role requires
the understanding of how people behave in certain contexts and how various stimuli and
circumstances can affect individual thought processes in social
and professional situations.
You will be working with both creative designers and the development team in various challenging
projects. This role requires someone who is able to
communicate effectively with both disciplines together with creating aesthetically pleasing
design prototypes, including graphic design, site navigation,
and layout of content.
Read more and Apply NOW...
|
|
|


Hardware Overview¶
The MCC DAQ HATs are Raspberry Pi add-on boards (Hardware Attached on Top). They adhere to the Raspberry Pi HAT specification, but also extend it to allow stacking up to 8 MCC boards on a single Raspberry Pi.
C and Python libraries, documentation, and examples are provided to allow you to develop your own applications.
Hardware Compatibility¶
The MCC DAQ HATs are compatible with all Raspberry Pi models with the 40-pin GPIO header (not the original Pi 1 A or B with the 26-pin header.) They are generally not compatible with any other brand of Raspberry Pi HAT or add-on board that attaches to the GPIO header, or devices that use the Raspberry Pi SPI interface.
In particular, LCD displays that use the GPIO header (not HDMI) usually use the SPI interface and will prevent the DAQ HATs from working. Even if the display is removed, the driver is probably still loaded by /boot/config.txt and will cause issues with the DAQ HATs. If you have a problem with your device and have used a GPIO header display with your Raspberry Pi then consult your display hardware documentation for how to remove the driver.
The specific pins used by each DAQ HAT are documented in the electrical specifications for that device.
MCC 118¶
The MCC 118 is an 8-channel analog voltage input board with the following features:
- 12-bit, 100 kS/s A/D converter
- ±10 V single-ended analog inputs
- Factory calibration with ±20.8 mV input accuracy
- Bidirectional scan clock
- Onboard sample buffers
- Digital trigger input
Board components¶
Screw terminals¶
- CH 0 In to CH 7 In (CHx): Single-ended analog input terminals.
- Clock (CLK): Bidirectional terminal for scan clock input / output. Set the direction with software. Set for input to clock the scans with an external clock signal, or output to use the internal scan clock.
- Trigger (TRIG): External digital trigger input terminal. The trigger mode is software configurable for edge or level sensitive, rising or falling edge, high or low level.
- AGND (GND): Common ground for the analog input terminals.
- DGND (GND): Common ground for the clock and trigger terminals.
Address jumpers¶
- A0 to A2: Used to identify each HAT when multiple boards are connected. The first HAT connected to the Raspberry Pi must be at address 0 (no jumper). Install jumpers on each additional connected board to set the desired address. Refer to the Installing multiple boards topic for more information about the recommended addressing method.
Status LED¶
The LED turns on when the board is connected to a Raspberry Pi with external power applied and flashes when communicating with the board. The LED may be blinked by the user.
Header connector¶
The board header is used to connect with the Raspberry Pi. Refer to Installing the DAQ HAT board for more information about the header connector.
Functional block diagram¶
Functional details¶
Scan clock¶
The clock input / output (terminal CLK) is used to output the internal scan clock or apply an external scan clock to the device. The clock input signal may be a 3.3V or 5V TTL or CMOS logic signal, and the output will be 3.3V LVCMOS. A scan occurs for each rising edge of the clock, acquiring one sample from each of the selected channels in the scan. For example, when scanning channels 0, 1, and 2 the conversion activity will be:
Trigger¶
The trigger input (terminal TRIG) is used to hold off the beginning of an analog input scan until the desired condition is met at the trigger input. The trigger input signal may be a 3.3V or 5V TTL or CMOS logic signal. The input condition may be rising edge, falling edge, high level, or low level.
Firmware updates¶
Use the firmware update tool to update the firmware on your MCC 118 board(s). The “0” in the example below is the board address. Repeat the command for each MCC 118 address in your board stack. This example demonstrates how to update the firmware on the MCC 118 that is installed at address 0:
mcc118_firmware_update 0 ~/daqhats/tools/MCC_118.hex
MCC 118-OEM¶
An OEM version is available that is designed with (unpopulated) header connectors instead of screw terminals. The board accepts 1x6 and 1x10 0.1” spacing header connectors. The MCC 118-OEM is functionally equivalent to the standard version. Refer to the Electrical Specifications for connector information.
Specifications¶
MCC 128¶
The MCC 128 is an analog voltage input board with the following features:
- 16-bit, 100 kS/s A/D converter
- Single-ended and differential input modes
- 4 differential or 8 single-ended channels
- ±10 V, ±5V, ±2V, and ±1V input ranges
- Factory calibration
- Bidirectional scan clock
- Onboard sample buffers
- Digital trigger input
Single Ended Input configuration¶
Differential Input Configuration¶
Board components¶
Screw terminals¶
- CH0H/CH0L to CH3H/CH3L (CHx): Analog input terminals.
- Clock (CLK): Bidirectional terminal for scan clock input / output. Set the direction with software. Set for input to clock the scans with an external clock signal, or output to use the internal scan clock.
- Trigger (TRIG): External digital trigger input terminal. The trigger mode is software configurable for edge or level sensitive, rising or falling edge, high or low level.
- AGND (GND): Common ground for the analog input terminals.
- DGND (GND): Common ground for the clock and trigger terminals.
Address jumpers¶
- A0 to A2: Used to identify each HAT when multiple boards are connected. The first HAT connected to the Raspberry Pi must be at address 0 (no jumper). Install jumpers on each additional connected board to set the desired address. Refer to the Installing multiple boards topic for more information about the recommended addressing method.
Status LED¶
The LED turns on when the board is connected to a Raspberry Pi with external power applied and flashes when communicating with the board. The LED may be blinked by the user.
Header connector¶
The board header is used to connect with the Raspberry Pi. Refer to Installing the DAQ HAT board for more information about the header connector.
Functional block diagram¶
Functional details¶
Scan clock¶
The clock input / output (terminal CLK) is used to output the internal scan clock or apply an external scan clock to the device. The clock input signal may be a 3.3V or 5V TTL or CMOS logic signal, and the output will be 3.3V LVCMOS. A scan occurs for each rising edge of the clock, acquiring one sample from each of the selected channels in the scan. For example, when scanning channels 0, 1, and 2 the conversion activity will be:
Trigger¶
The trigger input (terminal TRIG) is used to hold off the beginning of an analog input scan until the desired condition is met at the trigger input. The trigger input signal may be a 3.3V or 5V TTL or CMOS logic signal. The input condition may be rising edge, falling edge, high level, or low level.
Firmware updates¶
Use the firmware update tool to update the firmware on your MCC 128 board(s). The “0” in the example below is the board address. Repeat the command for each MCC 128 address in your board stack. This example demonstrates how to update the firmware on the MCC 128 that is installed at address 0:
mcc128_firmware_update 0 ~/daqhats/tools/MCC_128.fw
MCC 128-OEM¶
An OEM version is available that is designed with (unpopulated) header connectors instead of screw terminals. The board accepts 1x6 and 1x10 0.1” spacing header connectors. The MCC 128-OEM is functionally equivalent to the standard version. Refer to the Electrical Specifications for connector information.
Specifications¶
MCC 134¶
The MCC 134 is a 4-channel thermocouple input board with the following features:
- 24-bit A/D converter
- Onboard sensor for cold junction compensation
- Linearization for J, K, R, S, T, N, E, B type thermocouples
- Open thermocouple detection
- Thermocouple inputs are electrically isolated from the Raspberry Pi for use in harsh environments
Board components¶
Screw terminals¶
- CH0H/CH0L to CH3H/CH3L (+x-): Differential thermocouple input terminals.
Address jumpers¶
- A0 to A2: Used to identify each HAT when multiple boards are connected. The first HAT connected to the Raspberry Pi must be at address 0 (no jumper). Install jumpers on each additional connected board to set the desired address. Refer to the Installing multiple boards topic for more information about the recommended addressing method.
Status LED¶
The LED turns on when the board is connected to a Raspberry Pi with external power applied.
Header connector¶
The board header is used to connect with the Raspberry Pi. Refer to Installing the DAQ HAT board for more information about the header connector.
Functional block diagram¶
Functional details¶
Best practices for accurate thermocouple measurements¶
The MCC 134 should achieve results within the maximum thermocouple accuracy specifications when operating within the documented environmental conditions. Operating in conditions with excessive temperature transients or airflow may affect results. In most cases, the MCC 134 will achieve the typical specifications. To achieve the most accurate thermocouple readings, MCC recommends the following practices:
- Reduce the load on the Raspberry Pi processor. Running a program that fully loads all 4 cores on the Raspberry Pi processor can raise the temperature of the processor above 70 °C. Running a program that only loads 1 core will operate approximately 20 °C cooler.
- Minimize environmental temperature variations. Place the MCC 134 away from heat or cooling sources that cycle on and off. Sudden environmental changes may lead to increased errors.
- Provide a steady airflow, such as from a fan. A steady airflow can dissipate heat and reduce errors.
- When configuring multiple MCC DAQ Hats in a stack, position the MCC 134 farthest from the Raspberry Pi board. Since the Raspberry Pi is a significant heat source, placing the MCC 134 farthest from the Pi will increase accuracy.
For additional information, refer to the Measuring Thermocouples with Raspberry Pi and the MCC 134 Tech Tip.
Specifications¶
MCC 152¶
The MCC 152 is an analog output / digital I/O board with the following features:
- 2 analog outputs
- 12-bit D/A converter
- 0 - 5 V outputs
- 5 mA output drive, sourcing
- Simultaneous update capability
- 8 digital I/O
- 5 V / 3.3 V supply voltage, jumper-selectable
- Bit-configurable for input (power on default) or output
- Outputs may be set to push-pull or open-drain (port-configurable)
- Programmable pull-up/pull-down resistors (disconnected on outputs when set to open-drain)
- 10 mA source/25 mA sink per output
- Interrupt on input state change
Board components¶
Screw terminals¶
- AO0 to AO1 (AOx): Analog output terminals.
- DIO0 to DIO7 (DIOx): Digital input/output terminals.
- VIO (VIO): Digital I/O supply voltage (5 V or 3.3 V, selectable with jumper W3.)
- AGND (AGND): Common ground for the analog output terminals.
- DGND (DGND): Common ground for the digital I/O terminals.
Address jumpers¶
- A0 to A2: Used to identify each DAQ HAT when multiple boards are connected. The first DAQ HAT connected to the Raspberry Pi must be at address 0 (no jumper). Install jumpers on each additional connected board to set the desired address. Refer to the Installing multiple boards topic for more information about the recommended addressing method.
DIO Power jumper (W3)¶
- 5V and 3.3V: Selects the DIO voltage; the factory default is 5 V. Refer to Mixing 3.3V and 5V digital inputs for more information about the DIO supply voltage.
Status LED¶
The LED turns on when the board is connected to a Raspberry Pi with external power applied.
Header connector¶
The board header is used to connect with the Raspberry Pi. Refer to Installing the DAQ HAT board for more information about the header connector.
Functional block diagram¶
Functional details¶
Mixing 3.3V and 5V digital inputs¶
The MCC 152 digital inputs are tolerant of 5V signals when the DIO is set to 3.3V operation with jumper W3. However, current can flow into the MCC 152 from the 5V signal, so the user must limit this current to avoid raising the voltage of the digital power supply rail (VIO) and possibly damaging components. MCC recommends using a series resistor of 700 ohms or larger.
Example:
Specifications¶
MCC 172¶
The MCC 172 is a 2-channel analog voltage input board with the following features:
- Two 24-bit, 51.2 kS/s A/D converters (one per channel)
- ±5 V AC coupled differential analog inputs
- IEPE sensor support
- 10-32 and screw terminal connectors for the analog inputs
- ADC conversions can be synchronized between multiple boards
- Onboard sample buffers
- Digital trigger input
Board components¶
10-32 coaxial connectors¶
- CH0 and CH1 (CHx): Analog input connectors (do not connect an input source to the 10-32 connectors and screw terminals at the same time).
Screw terminals¶
- CH0+/CH0- and CH1+/CH1- (CHx+/CHx-): Analog input terminals (do not connect an input source to the 10-32 connectors and screw terminals at the same time).
- Trigger (TRIG): External digital trigger input terminal. The trigger mode is software configurable for edge or level sensitive, rising or falling edge, high or low level.
- DGND (GND): Digital ground for the trigger terminal.
Address jumpers¶
- A0 to A2: Used to identify each HAT when multiple boards are connected. The first HAT connected to the Raspberry Pi must be at address 0 (no jumper). Install jumpers on each additional connected board to set the desired address. Refer to the Installing multiple boards topic for more information about the recommended addressing method.
Status LED¶
The LED turns on when the board is connected to a Raspberry Pi with external power applied and flashes when communicating with the board. The LED may be blinked by the user.
Header connector¶
The board header is used to connect with the Raspberry Pi. Refer to Installing the DAQ HAT board for more information about the header connector.
Functional block diagram¶
Functional details¶
ADC clock¶
The ADCs on a board share the same clock and are synchronized to start conversions at the same time for synchronous data. The clock and synchronize signals may also be shared across the Raspberry Pi GPIO header to synchronize multiple MCC 172s. The clock is programmable for various sampling rates between 51.2 kS/s and 200 S/s.
Trigger¶
The trigger input (terminal TRIG) is used to hold off the beginning of an analog input scan until the desired condition is met at the trigger input. The trigger input signal may be a 3.3V or 5V TTL or CMOS logic signal. The input condition may be rising edge, falling edge, high level, or low level. The trigger may also be shared across the Raspberry Pi GPIO header to synchronize multiple MCC 172s.
Due to the nature of the filtering in the A/D converters there is an input delay of 39 samples, so the data coming from the converters at any time is delayed by 39 samples from the current time. This is most noticeable when using a trigger - there will be approximately 39 samples prior to the trigger event in the captured data.
Alias Rejection¶
At low sampling rates, certain high frequency signals (at multiples of 128 * the sampling rate) can fall below the cutoff frequency of the fixed analog anti-aliasing filter and create aliasing in the data. Using transducers with a bandwidth lower than 100 kHz should not affect measurement results. Sampling at 10.24 kHz or higher will also ensure that the anti-aliasing filter suppresses all signals that could alias into the data.
Firmware updates¶
Use the firmware update tool to update the firmware on your MCC 172 board(s). The “0” in the example below is the board address. Repeat the command for each MCC 172 address in your board stack. This example demonstrates how to update the firmware on the MCC 172 that is installed at address 0:
mcc172_firmware_update 0 ~/daqhats/tools/MCC_172.fw


We should forget about small efficiencies, say about 97% of the time: premature optimization is the root of all evil. Yet we should not pass up our opportunities in that critical 3%.
– Donald Knuth, Computer Scientist
*1938, Touring Award: 1974


{% extends 'swiftwind/base_email.html' %} {% load bootstrap3 hordak %} {% block title %}Statement for {{ housemate.user }}{% endblock %} {% block preheader %} {% with balance=housemate.account.balance %} {% if balance < 0 %}
You currently owe {{ balance|inv }}
{% elif balance > 0 %}The house currently owes you {{ balance }}
{% else %}Your account balance is {{ balance }}
{% endif %} {% endwith %} {% endblock %} {% block content %}You currently owe {{ balance|inv }}
{% elif balance > 0 %}The house currently owes you {{ balance }}
{% else %}Your account balance is {{ balance }}
{% endif %} {% endwith %}| Recurring costs | {{ recurring_total|inv }} |
| One-off costs | {{ one_off_total|inv }} |
| Other transactions | {{ other_total|inv }} |
| Total for this period | {{ total|inv }} |
| View full statement |
{{ payment_information|linebreaksbr }}
{% endif %} {% endblock %}


inputline(), textarea(), checkbox() and radiobox() create their HTML equivalents. fileform() creates a file upload widget, a field for the mime type and original file name can also be specified. select() creates a pop-up-menue.
void widget_set::inputline ($name, $val, $size);
Generates an inputline for field $fieldname, max. $length characters wide. A $label is optional.
void widget_set::password ($name, $val, $size);
Like inputline () but the user input is not shown on screen.


About The Conference
The workshop theme is “High-Performance Big-Data Computing” (HPBDC). It involves Large-Scale Data Analytics on High-Performance Computing (HPC) clusters optimized for data analysis. HPBDC has been identified by Gartner in their infrastructure strategies priority matrix under the rubric of Hyperscale computing, as having transformational importance on their top rating in the 5-10 year timeframe. The potential impact on scientific discovery and economic development from Data Analytics is tremendous.
The workshop features innovative research and development in hardware, algorithms and software for big data systems of transformational capability on computer architectures ranging from commodity clouds, hybrid HPC-clouds, and supercomputers. It aims at performance and security that scales and fully exploit the specialized features (communication, memory, energy, I/O, accelerator) of each different architecture. Studies of new architectures and benchmarking of existing systems will be covered. Applications will range from pleasingly parallel, MapReduce, to Machine Learning (e.g., Random Forest, SVM, Latent Dirichlet Allocation, Clustering and Dimension Reduction), Deep Learning, and Large Graph Analytics.
Schedule Detail
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-
8.00 AM
Breakfast
-
10.00 AM
Event 1
By ABC/span> -
11.00 AM
Event 2
By ABC -
12.00 AM
EVent 3
By ABC -
5.00 PM
The End
-
9.00 AM
Breakfast
-
10.00 AM
Advanced SVG Animations
By Karl Groves -
11.00 AM
Presenting Work with Confidence
By Sarah Dransner -
12.00 AM
Keynote on UX & UI Design
By Ned Stark -
1.00 PM
The End
-
9.00 AM
Breakfast
-
10.00 AM
Advanced SVG Animations
By Karl Groves -
11.00 AM
Presenting Work with Confidence
By Sarah Dransner -
12.00 AM
Keynote on UX & UI Design
By Ned Stark -
1.00 PM
The End
Our Speakers
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Blanditiis unde, ut sapiente et voluptatum facilis consectetur incidunt provident asperiores at necessitatibus nulla sequi voluptas libero quasi explicabo veritatis minima porro.
VENUE
Luddy Hall
700 N Woodlawn Ave, Bloomington, IN 47408
School of Informatics, Computing and Engineering, Indiana University
FAQ
Have general questions about the workshop? Find answers here!
Our Sponsors
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On your machine create public and private SSH keys using the command-line:
mkdir ~/.ssh chmod 700 ~/.ssh ssh-keygen -t rsa
You will be asked to confirm keys location and create passphrase to protect your private key:
Generating public/private rsa key pair. Enter file in which to save the key (/home/b/.ssh/id_rsa): Enter passphrase (empty for no passphrase): Enter same passphrase again: Your identification has been saved in /home/b/.ssh/id_rsa. Your public key has been saved in /home/b/.ssh/id_rsa.pub.
After successful creation you should copy id_rsa.pub (your public key) content
and paste it into "Public key" input on Add key page
For other Linux systems search instructions for your distribution.
Instructions are pretty much the same as for Linux,
but you may omit directory creation and enter only this line
ssh-keygen -t rsa
On of the possible ways to create SSH keys on Windows is using Git Bash. This set of steps is based this tool, you need to install it to proceed further.
At first check if you already have public key, if so you can use it on our Add Key page. Open Git Bash and enter:
ls -al ~/.ssh
This command will show existing files in your .ssh directory. Public key has .pub extension (usually id_rsa.pub)
To generate new SSH key pair in your Git Bash enter:
ssh-keygen -t rsa -b 4096 -C<EMAIL_ADDRESS>This will create new ssh key, using the provided email as a label, when you
see information about choosing keys directory just press Enter.
You will also be asked to enter a passphrase. After all is done you will see
output like this:
# Your identification has been saved in /Users/you/.ssh/id_rsa. # Your public key has been saved in /Users/you/.ssh/id_rsa.pub. # The key fingerprint is: # 01:0f:f4:3b:ca:85:d6:17:a1:7d:f0:68:9d:f0:a2:db<EMAIL_ADDRESS>Next, you have to enable your ssh-agent and add keys that you have created.
Open your Git Bash and start the agent:
# start the ssh-agent in the background ssh-agent - s
Add your SSH key to ssh-agent:
ssh-add ~/.ssh/id_rsa
That's it, you are ready to go!


# This file is part of QuTiP: Quantum Toolbox in Python.
#
# Copyright (c) 2011 and later, Paul D. Nation and Robert J. Johansson.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# 1. Redistributions of source code must retain the above copyright notice,
# this list of conditions and the following disclaimer.
#
# 2. Redistributions in binary form must reproduce the above copyright
# notice, this list of conditions and the following disclaimer in the
# documentation and/or other materials provided with the distribution.
#
# 3. Neither the name of the QuTiP: Quantum Toolbox in Python nor the names
# of its contributors may be used to endorse or promote products derived
# from this software without specific prior written permission.
 IN NO EVENT SHALL THE COPYRIGHT
# HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
# LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
# DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
# THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
###############################################################################
import numpy as np
from qutip.qip.gates import globalphase
[docs]class CircuitProcessor(object):
"""
Base class for representation of the physical implementation of a quantum
program/algorithm on a specified qubit system.
"""
def __init__(self, N, correct_global_phase):
"""
Parameters
----------
N: Integer
The number of qubits in the system.
correct_global_phase: Boolean
Check if the global phases should be included in the final result.
"""
self.N = N
self.correct_global_phase = correct_global_phase
[docs] def optimize_circuit(self, qc):
"""
Function to take a quantum circuit/algorithm and convert it into the
optimal form/basis for the desired physical system.
Parameters
----------
qc: QubitCircuit
Takes the quantum circuit to be implemented.
Returns
--------
qc: QubitCircuit
The optimal circuit representation.
"""
raise NotImplemented("Use the function in the sub-class")
[docs] def adjacent_gates(self, qc, setup):
"""
Function to take a quantum circuit/algorithm and convert it into the
optimal form/basis for the desired physical system.
Parameters
----------
qc: QubitCircuit
Takes the quantum circuit to be implemented.
setup: String
Takes the nature of the spin chain; linear or circular.
Returns
--------
qc: QubitCircuit
The resolved circuit representation.
"""
raise NotImplemented("Use the function in the sub-class")
[docs] def load_circuit(self, qc):
"""
Translates an abstract quantum circuit to its corresponding Hamiltonian
for a specific model.
Parameters
----------
qc: QubitCircuit
Takes the quantum circuit to be implemented.
"""
raise NotImplemented("Use the function in the sub-class")
[docs] def get_ops_and_u(self):
"""
Returns the Hamiltonian operators and corresponding values by stacking
them together.
"""
raise NotImplemented("Use the function in the sub-class")
[docs] def get_ops_labels(self):
"""
Returns the Hamiltonian operators and corresponding labels by stacking
them together.
"""
pass
def eliminate_auxillary_modes(self, U):
return U
[docs] def run(self, qc=None):
"""
Generates the propagator matrix by running the Hamiltonian for the
appropriate time duration for the desired physical system.
Parameters
----------
qc: QubitCircuit
Takes the quantum circuit to be implemented.
Returns
--------
U_list: list
The propagator matrix obtained from the physical implementation.
"""
if qc:
self.load_circuit(qc)
U_list = []
H_ops, H_u = self.get_ops_and_u()
for n in range(len(self.T_list)):
H = sum([H_u[n, m] * H_ops[m] for m in range(len(H_ops))])
U = (-1j * H * self.T_list[n]).expm()
U = self.eliminate_auxillary_modes(U)
U_list.append(U)
if self.correct_global_phase and self.global_phase != 0:
U_list.append(globalphase(self.global_phase, N=self.N))
return U_list
[docs] def run_state(self, qc=None, states=None):
"""
Generates the propagator matrix by running the Hamiltonian for the
appropriate time duration for the desired physical system with the
given initial state of the qubit register.
Parameters
----------
qc: QubitCircuit
Takes the quantum circuit to be implemented.
states: Qobj
Initial state of the qubits in the register.
Returns
--------
U_list: list
The propagator matrix obtained from the physical implementation.
"""
if states is None:
raise NotImplementedError("Qubit state not defined.")
if qc:
self.load_circuit(qc)
U_list = [states]
H_ops, H_u = self.get_ops_and_u()
for n in range(len(self.T_list)):
H = sum([H_u[n, m] * H_ops[m] for m in range(len(H_ops))])
U = (-1j * H * self.T_list[n]).expm()
U = self.eliminate_auxillary_modes(U)
U_list.append(U)
if self.correct_global_phase and self.global_phase != 0:
U_list.append(globalphase(self.global_phase, N=self.N))
return U_list
[docs] def pulse_matrix(self):
"""
Generates the pulse matrix for the desired physical system.
Returns
--------
t, u, labels:
Returns the total time and label for every operation.
"""
dt = 0.01
H_ops, H_u = self.get_ops_and_u()
t_tot = sum(self.T_list)
n_t = int(np.ceil(t_tot / dt))
n_ops = len(H_ops)
t = np.linspace(0, t_tot, n_t)
u = np.zeros((n_ops, n_t))
t_start = 0
for n in range(len(self.T_list)):
t_idx_len = int(np.floor(self.T_list[n] / dt))
mm = 0
for m in range(len(H_ops)):
u[mm, t_start:(t_start + t_idx_len)] = (np.ones(t_idx_len) *
H_u[n, m])
mm += 1
t_start += t_idx_len
return t, u, self.get_ops_labels()
[docs] def plot_pulses(self):
"""
Maps the physical interaction between the circuit components for the
desired physical system.
Returns
--------
fig, ax: Figure
Maps the physical interaction between the circuit components.
"""
import matplotlib.pyplot as plt
t, u, u_labels = self.pulse_matrix()
fig, ax = plt.subplots(1, 1, figsize=(12, 6))
for n, uu in enumerate(u):
ax.plot(t, u[n], label=u_labels[n])
ax.axis('tight')
ax.set_ylim(-1.5 * 2 * np.pi, 1.5 * 2 * np.pi)
ax.legend(loc='center left',
bbox_to_anchor=(1, 0.5), ncol=(1 + len(u) // 16))
fig.tight_layout()
return fig, ax


--- layout: post status: publish published: true title: iPhone - Using omnifocus with siri. author: display_name: hojunbaek login: hojunbaek email<EMAIL_ADDRESS>url: '' author_login: hojunbaek author_email<EMAIL_ADDRESS>excerpt: Siri와 OmniFocus의 조합! 우회해서 사용하기 방법을 소개합니다. wordpress_id: 1252 wordpress_url: http://ezcocoa.com/?p=1252 date: '2011-11-16 06:51:36 +0900' date_gmt: '2011-11-16 06:51:36 +0900' categories: - iPhone tags: - iphone - omnifocus - using - siri comments: [] ---
Integrating Siri and OmniFocus
More Fun With Siri Dictation
Say this … |
… to do this |
|---|---|
| new line | move to the next line (like pressing “Return” on a keyboard) |
| new paragraph | to start a new paragraph |
| cap | to capitalize the next word
For example, saying: produces the text: (interestingly, if you say “Kevin Bacon”, Bacon is automatically capitalized for you) |
| caps on … caps off | to capitalize a section of text
For example, saying: produces the text: |
| all caps | to make the next word all uppercase
For example, saying: produces the text: |
| all caps on … all caps off | to make part of what you say uppercase
For example, saying: produces the text: |
| no caps | to make the next word lowercase
For example, saying: produces the text: |
| no caps on … no caps off | to make sure part of what you say is all lowercase
For example, saying: produces the text: |
| space bar | to prevent a hyphen from appearing in a normally hyphenated word
For example, saying: prevents first-class from being hyphenated, and produces the text: |
| no space | to prevent a space between words
For example, saying: produces the text: |
| no space on … no space off | to prevent a section of text from having spaces between words
For example, saying: produces the text: |
| “period” or “full stop” | to place a “.” at the end of a sentence |
| dot | .
For example, saying: produces the text: (note the subtle difference between saying point and dot… dot works between words) |
| point | .
For example, saying: produces the text: (note the subtle difference between saying point and dot… dot works between words) |
| “ellipsis” or “dot dot dot” | … |
| comma | , |
| double comma | ,, |
| “quote” or “quotation mark” | ”
(although, if you need to place some text within quotation marks, using the “quote … end quote” commands may be more accurate) |
| “quote … end quote” or “quote … close quote” | to place quotes around a section of text
For example, saying: produces the text: |
| apostrophe | ‘
(although in many cases, apostrophes are automatically inserted, like when saying Sam’s new iPhone) |
| exclamation point | ! |
| inverted exclamation point | ¡ |
| question mark | ? |
| inverted question mark | ¿ |
| ampersand | & |
| asterisk | * |
| open parenthesis | ( |
| close parenthesis | ) |
| open bracket | [ |
| close bracket | ] |
| open brace | { |
| close brace | } |
| dash | -
For example, saying: produces the text: (note the difference in spacing between this and when saying hyphen) |
| hyphen | -
For example, saying: produces the text: (note the difference in spacing between this and when saying dash) |
| em dash | — |
| underscore | _ |
| percent sign | % |
| copyright sign | © |
| registered sign | ® |
| section sign | § |
| dollar sign | $ |
| cent sign | ¢ |
| euro sign | € |
| yen sign | ¥ |
| degree sign | ° |
| caret | ^ |
| at sign | @ |
| pound sterling sign | £ |
| pound sign | # |
| greater than sign | > |
| less than sign | < |
| forward slash | / |
| back slash | \ |
| vertical bar | | |
| “smiley” or “smiley face” or “smile face” | :-) |
| “frowny” or “frowny face” or “frown face” | :-( |
| “winky” or “winky face” or “wink face” | ;-) |
| e.g. (pronounced as “e g”) | e.g.
For example, saying: produces the text: |
| i.e. (pronounced as “i e”) | i.e.
For example, saying: produces the text: |


| agg_png {ragg} | R Documentation |
The PNG (Portable Network Graphic) format is one of the most ubiquitous today, due to its versatiliity and widespread support. It supports transparency as well as both 8 and 16 bit colour. The device uses default compression and filtering and will not use a colour palette as this is less useful for antialiased data. This means that it might be possible to compress the resulting image even more if size is of concern (though the defaults are often very good). In contrast to [grDevices::png()] the date and time will not be written to the file, meaning that similar plot code will produce identical files (a good feature if used with version control). It will, however, write in the dimensions of the image based on the 'res' argument.
agg_png( filename = "Rplot%03d.png", width = 480, height = 480, units = "px", pointsize = 12, background = "white", res = 72, scaling = 1, bitsize = 8, bg )
filename |
The name of the file. Follows the same semantics as the file naming in [grDevices::png()], meaning that you can provide a [sprintf()] compliant string format to name multiple plots (such as the default value) |
width |
The dimensions of the device |
height |
The dimensions of the device |
units |
The unit 'width' and 'height' is measured in, in either pixels (''px'‘), inches ('’in'‘), millimeters ('’mm'‘), or centimeter ('’cm''). |
pointsize |
The default pointsize of the device in pt. This will in general not have any effect on grid graphics (including ggplot2) as text size is always set explicitly there. |
background |
The background colour of the device |
res |
The resolution of the device. This setting will govern how device dimensions given in inches, centimeters, or millimeters will be converted to pixels. Further, it will be used to scale text sizes and linewidths |
scaling |
A scaling factor to apply to the rendered line width and text size. Useful for getting the right dimensions at the resolution that you need. If e.g. you need to render a plot at 4000x3000 pixels for it to fit into a layout, but you find that the result appears to small, you can increase the 'scaling' argument to make everything appear bigger at the same resolution. |
bitsize |
Should the device record colour as 8 or 16bit |
bg |
Same as 'background' for compatibility with old graphic device APIs |
file <- tempfile(fileext = '.png') agg_png(file) plot(sin, -pi, 2*pi) dev.off()


Example:
Above dialog was created with this line of code:
result = dialog.findDialog(self)
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Argument |
Data type/Notes |
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self |
the window (background) that is the parent for the dialog |
|
OPTIONAL searchText |
String defining the text for which to search |
|
OPTIONAL wholeWordsOnly |
Boolean value indicating whether to confine the search to strings that contain the search text as a whole word rather than a substring. True = search for whole words only; False = find all occurrences of the search text |
|
OPTIONAL caseSensitive |
Boolean value indicating whether to confine the search to strings that contain the search text exactly as provided including upper and lower case letter sensitivity.. True = search for exact capitalization match; False = find all occurrences of the search text |
| Name of value |
Description |
| accepted |
True = user clicked OK False = user clicked Cancel |
| searchText |
String containing the text entered by the user
for which the search is to be conducted |
| wholeWordsOnly |
True = user checked "Whole Words Only" checkbox False = user did not check the checkbox |
| caseSensitive |
True = user checked "Case Sensitive" checkbox False = user did not check the checkbox |


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Blocked Users Digest
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Hello,
{{ blocked_user_info }}
For each of the users below, please unblock them from the respective course listed via
the York Data Source Tool within the Blackboard System Admin Panel. The steps to do so
are listed below for your reference.
- From within the Blackboard System Admin Panel, click on "UoY Data Source Key Tool"
under the Tools Box
- Locate the User via Enrolment > By User Search
- Check the checkbox in the row coresponding to the course the user is blocked from
- At the bottom of the page, under "Update", check the "Update the records selected
above" checkbox, as well as the Status checkbox, and make sure "Enabled" is selected
from the Dropdown
- Click "Submit" at the bottom of the page
- Verify that the unblock was successful by looking for a Success message in the
"Persistence Outcome" column in the "Persistence Complete" result table.
| Username |
Course ID |
{{ blocked_tbody }}
Cheers,
SDSU ITS Faculty Support Team
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