Previous chapters have discussed how to play or capture audio samples. The implicit goal has been to deliver samples as faithfully as possible, without modification (other than possibly mixing the samples with those from other audio lines). Sometimes, however, you want to be able to modify the signal. The user might want it to sound louder, quieter, fuller, more reverberant, higher or lower in pitch, and so on. This chapter discusses the Java Sound API features that provide these kinds of signal processing.
There are two ways to apply signal processing:
Control
objects and
then setting the controls as the user desires. Typical controls
supported by mixers and lines include gain, pan, and reverberation
controls. A mixer can have various
sorts of signal-processing controls on some or all of its lines.
For example, a mixer used for audio capture might have an input
port with a gain control, and target data lines with gain and pan
controls. A mixer used for audio playback might have sample-rate
controls on its source data lines. In each case, the controls are
all accessed through methods of the Line
interface.
Because the
Mixer
interface extends Line
, the mixer
itself can have its own set of controls. These might serve as
master controls affecting all the mixer's source or target lines.
For example, the mixer might have a master gain control whose value
in decibels is added to the values of individual gain controls on
its target lines.
Others of the mixer's own controls might affect a special line, neither a source nor a target, that the mixer uses internally for its processing. For example, a global reverb control might choose the sort of reverberation to apply to a mixture of the input signals, and this "wet" (reverberated) signal would get mixed back into the "dry" signal before delivery to the mixer's target lines.
If the mixer or any of its lines have controls, you might wish to expose the controls via graphical objects in your program's user interface, so that the user can adjust the audio characteristics as desired. The controls are not themselves graphical; they just allow you to retrieve and change their settings. It's up to you to decide what sort of graphical representations (sliders, buttons, etc.), if any, to use in your program.
All controls are implemented
as concrete subclasses of the abstract class Control
.
Many typical audio-processing controls can be described by abstract
subclasses of Control
based on a data type (such as
boolean, enumerated, or float). Boolean controls, for example,
represent binary-state controls, such as on/off controls for mute
or reverb. Float controls, on the other hand, are well suited to
represent continuously variable controls, such as pan, balance, or
volume.
The Java Sound API specifies
the following abstract subclasses of Control
:
BooleanControl
—represents a binary-state
(true or false) control. For example, mute, solo, and on/off
switches would be good candidates for BooleanControls
.
FloatControl
—data model providing control
over a range of floating-point values. For example, volume and pan
are FloatControls
that could be manipulated via a dial
or slider. EnumControl
—offers a choice from a set of
objects. For example, you might associate a set of buttons in the
user interface with an EnumControl
to select one of
several preset reverberation settings. CompoundControl
—provides access to a
collection of related items, each of which is itself an instance of
a Control
subclass. CompoundControls
represent multi-control modules such as graphic equalizers. (A
graphic equalizer would typically be depicted by a set of sliders,
each affecting a FloatControl
.)
Control
above has methods appropriate
for its underlying data type. Most of the classes include methods
that set and get the control's current value(s), get the control's
label(s), and so on.
Of course, each class has
methods that are particular to it and the data model represented by
the class. For example, EnumControl
has a method that
lets you get the set of its possible values, and
FloatControl
permits you to get its minimum and
maximum values, as well as the precision (increment or step size)
of the control.
Each subclass of
Control
has a corresponding Control.Type
subclass, which includes static instances that identify specific
controls.
The following table shows
each Control
subclass, its corresponding
Control.Type
subclass, and the static instances that
indicate specific kinds of controls:
An implementation of the
Java Sound API can provide any or all of these control types on its
mixers and lines. It can also supply additional control types not
defined in the Java Sound API. Such control types could be
implemented via concrete subclasses of any of these four abstract
subclasses, or via additional Control
subclasses that
don't inherit from any of these four abstract subclasses. An
application program can query each line to find what controls it
supports.
In many cases, an
application program will simply display whatever controls happen to
be supported by the line in question. If the line doesn't have any
controls, so be it. But what if it's important to find a line that
has certain controls? In that case, you can use a
Line.Info
to obtain a line that has the right
characteristics, as described under "Getting a Line of a Desired Type" in
Chapter 3, "Accessing Audio System
Resources."
For example, suppose you prefer an input port that lets the user set the volume of the sound input. The following code excerpt shows how one might query the default mixer to determine whether it has the desired port and control:
Port lineIn;
FloatControl volCtrl;
try {
mixer = AudioSystem.getMixer(null);
lineIn = (Port)mixer.getLine(Port.Info.LINE_IN);
lineIn.open();
volCtrl = (FloatControl) lineIn.getControl(
FloatControl.Type.VOLUME);// Assuming getControl call succeeds,
// we now have our LINE_IN VOLUME control.
} catch (Exception e) {
System.out.println("Failed trying to find LINE_IN"
+ " VOLUME control: exception = " + e);
}
if (volCtrl != null)
// ...
An application program that
needs to expose controls in its user interface might simply query
the available lines and controls, and then display an appropriate
user-interface element for every control on every line of interest.
In such a case, the program's only mission is to provide the user
with "handles" on the control; not to know what those controls do
to the audio signal. As long as the program knows how to map a
line's controls into user-interface elements, the Java Sound API
architecture of Mixer
, Line
, and
Control
will generally take care of the rest.
For example, suppose your
program plays back sound. You're using a
SourceDataLine
, which you've obtained as described
under "Getting a Line of a Desired
Type" in Chapter 3, "Accessing Audio
System Resources." You can access the line's controls by
invoking the Line
method:
Control[] getControls()Then, for each of the controls in this returned array, you then use the following
Control
method to get the control's
type:
Control.Type getType()Knowing the specific
Control.Type
instance, your
program can display a corresponding user-interface element. Of
course, choosing "a corresponding user-interface element" for a
specific Control.Type
depends on the approach taken by
your program. On the one hand, you might use the same kind of
element to represent all Control.Type
instances of the
same class. This would require you to query the class of
the Control.Type
instance using, for example, the
Object.getClass
method. Let's say the result matched
BooleanControl.Type
. In this case, your program might
display a generic checkbox or toggle button, but if its class
matched FloatControl.Type
, then you might display a
graphic slider.
On the other hand, your
program might distinguish between different types of
controls—even those of the same class—and use a
different user-interface element for each one. This would require
you to test the instance returned by Control's
getType
method. Then if, for example, the type matched
BooleanControl.Type.APPLY_REVERB
, your program might
display a checkbox; while if the type matched
BooleanControl.Type.MUTE
, you might instead display a
toggle button.
| Note
The current implementation requires that to change the value of
a |
Now that you know how to
access a control and determine its type, this section will describe
how to use Controls
to change aspects of the audio
signal. This section doesn't cover every available control; rather,
it provides a few examples in this area to show you how to get
started. These example include:
Control
methods becomes a fairly straightforward
matter.
The following subsections describe some of the methods that must be invoked to affect the changes to specific controls.
Controlling the mute state
of any line is simply a matter of calling the following
BooleanControl
method:
void setValue(boolean value)(Presumably, the program knows, by referring to its control-management data structures, that the mute is an instance of a
BooleanControl
.) To mute the signal that's passing
through the line, the program invokes the method above, specifying
true
as the value. To turn muting off, permitting the
signal to flow through the line, the program invokes the method
with the parameter set to false
.
Let's assume your program
associates a particular graphic slider with a particular line's
volume control. The value of a volume control (i.e.,
FloatControl.Type.VOLUME
) is set using the following
FloatControl
method:
void setValue(float newValue)Detecting that the user moved the slider, the program gets the slider's current value and passes it, as the parameter
newValue
, to the method above. This changes the volume
of the signal flowing though the line that "owns" the control.
Let's suppose that our
program has a mixer with a line that has a control of type
EnumControl.Type.REVERB
. Calling the
EnumControl
method:
java.lang.Objects[] getValues()on that control produces an array of
ReverbType
objects. If desired, the particular parameter settings of each of
these objects can be accessed using the following
ReverbType
methods:
int getDecayTime() int getEarlyReflectionDelay() float getEarlyReflectionIntensity() int getLateReflectionDelay() float getLateReflectionIntensity()For example, if a program only wants a single reverb setting that sounds like a cavern, it can iterate over the
ReverbType
objects until it finds one for which
getDecayTime
returns a value greater than 2000. For a
thorough explanation of these methods, including a table of
representative return values, see the API reference documentation
for javax.sound.sampled.ReverbType
.
Typically, though, a program
will create a user-interface element, for example, a radio button,
for each of the ReverbType
objects within the array
returned by the getValues
method. When the user clicks
on one of these radio buttons, the program invokes the
EnumControl
method
void setValue(java.lang.Object value)where
value
is set to the ReverbType
that
corresponds to the newly engaged button. The audio signal sent
through the line that "owns" this EnumControl
will
then be reverberated according to the parameter settings that
constitute the control's current ReverbType
(i.e., the
particular ReverbType
specified in the
value
argument of the setValue
method).
So, from our application
program's perspective, enabling a user to move from one
reverberation preset (i.e., ReverbType) to another is simply a
matter of connecting each element of the array returned by
getValues
to a distinct radio button.
The Control
API
allows an implementation of the Java Sound API, or a third-party
provider of a mixer, to supply arbitrary sorts of signal processing
through controls. But what if no mixer offers the kind of signal
processing you need? It will take more work, but you might be able
to implement the signal processing in your program. Because the
Java Sound API gives you access to the audio data as an array of
bytes, you can alter these bytes in any way you choose.
If you're processing
incoming sound, you can read the bytes from a
TargetDataLine
and then manipulate them. An
algorithmically trivial example that can yield sonically intriguing
results is to play a sound backwards by arranging its frames in
reverse order. This trivial example may not be of much use for your
program, but there are numerous sophisticated digital signal
processing (DSP) techniques that might be more appropriate. Some
examples are equalization, dynamic-range compression, peak
limiting, and time stretching or compression, as well as special
effects such as delay, chorus, flanging, distortion, and so on.
To play back processed
sound, you can place your manipulated array of bytes into a
SourceDataLine
or Clip
. Of course, the
array of bytes need not be derived from an existing sound. You can
synthesize sounds from scratch, although this requires some
knowledge of acoustics or else access to sound-synthesis functions.
For either processing or synthesis, you may want to consult an
audio DSP textbook for the algorithms in which you're interested,
or else import a third-party library of signal-processing functions
into your program. For playback of synthesized sound, consider
whether the Synthesizer
API in the
javax.sound.midi
package meets your needs instead.
(See Chapter 12, "Synthesizing
Sound.")


@@include('./includes/_doc-head.html') @@include('./includes/_header.html') @@include('./includes/_doc-footer.html')


The AdView is a control which makes it possible to earn money with your app.
Note: This function is a premium feature. Please consider subscribing to Premium to use this feature and support DroidScript in its further development.
The AdView shows advertisement banners from the popular AdMob platform. (Further providers may be added in the future)
NOTE: Ads are not touchable when running in the DroidScript IDE.
To put ads in your app you must first
create an AdMob account
Then create the view and add it to your app as shown in the
Banner Ads sample
When finally publishing the app on GooglePlay remember to 'include ads' in the developer console.
Warning: Don't repeatedly click on your own adds unless you are using a valid testId, or Google may suspend your Admob account!
To read general infos about how AdMob works in android visit the
Google Developer Page
If you have trouble implementing ads please visit the
admob troubleshooter
Methods
The following methods are available on the AdView object:


--- layout: page title: Lean Prover Zulip Chat Archive permalink: archive/116395maths/56436divforcommgroup.html ---
It seems that group
nor comm_group
gives me a has_div
instance. Is there a reason for this? Or is it just because nobody wrote it?


?
NEW
YORK
BOTANICAL
GARDEN
00819695
Ludv/igia
peruviana
(L.)
Hara
Determined
by
T.P.
Ramamoorthv
1980
Missouri
Botanical
Garden
REVISION
OF
JUSSIAEA
J.
peruviana
L.
Philip
A.
Munz
THE
NEW
YORK
BOTANICAL
GARDEN
exploration
of
porto
RICO
Vicinity
of
Utuado
NorT"*-
N.
L.
Britton
John
F.
Cowell
f
Collectors
,
1939
March
15-20,
1906
Legend -
Level of confidence that token is an accurately-transcribed word
extremely low
very low
low
undetermined
medium
high
very high


i graduated from alwtany school at UAE , i did study there from grade 1 to grade 7, after that i moved to
Al-Ahlya national school from grade 8 to grade 12 until i graduate with 81% average then i moved to jordan
to complete my study
so i started my study as computer information system at the University Of jordan and finally graduated at
2019/6.
and now i started new cousre in programing which is my fav hobby, one of my goal is to work as developer and
be pro with it.


--- layout: default ---
Statistical Programming
Data Analysis using Machine Learning, Statistical Analysis
Extensive R and Matlab programming, scientific programming in various computer languages (Python, C++)
Analyzing small-sample, high-dimensional data (bioinformatics and medical data)
Experience handling censored and missing data (survival analysis, missing data problem)
Manifold Learning and Dimensionality Reduction methods
Raytheon BBN Tech. Cambridge, MA
Feb 2015 -
Scientist
Siemens Corporate Research Princeton, NJ
Apr 2005-Apr 2006
Temporary Technical Employee
Johns Hopkins University Baltimore, MD
Sept 2006- Present
Ph.D Candidate in Applied Mathematics and Statistics
(Expected Graduation January 2014)
Brown University, Providence, RI
Master of Science in Electrical Sciences and Computer Engineering
Sep 2003-Feb 2005
Research Area: Computer Vision and Pattern Recognition
Bogazici University, Istanbul, TURKEY
Bachelor of Science in Electrical and Electronics Engineering Sep 1999-Jun 2003
Area of Concentration: Signal Processing and Communications
Familiarity with Linux , Python, C, C++ programming
References available upon request.
Sancar Adali
sadali
at bbn dot com


Library: Foundation
Package: Notifications
Header: Poco/NObserver.h
Description
This template class implements an adapter that sits between a NotificationCenter and an object receiving notifications from it. It is quite similar in concept to the RunnableAdapter, but provides some NotificationCenter specific additional methods. See the NotificationCenter class for information on how to use this template class.
This class template is quite similar to the Observer class template. The only difference is that the NObserver expects the callback function to accept a const AutoPtr& instead of a plain pointer as argument, thus simplifying memory management.
Inheritance
Direct Base Classes: AbstractObserver
All Base Classes: AbstractObserver
Member Summary
Member Functions: accepts, clone, disable, equals, notify, operator =
Inherited Functions: accepts, clone, disable, equals, notify, operator =
Types
NotificationPtr
typedef AutoPtr < N > NotificationPtr;
void
typedef void (C::* Callback)(const NotificationPtr &);
Constructors
NObserver
NObserver(
const NObserver & observer
);
NObserver
NObserver(
C & object,
Callback method
);
Destructor
~NObserver
~NObserver();
Member Functions
accepts
bool accepts(
Notification * pNf
) const;
See also: Poco::AbstractObserver::accepts()
clone
AbstractObserver * clone() const;
See also: Poco::AbstractObserver::clone()
disable
void disable();
See also: Poco::AbstractObserver::disable()
equals
bool equals(
const AbstractObserver & abstractObserver
) const;
See also: Poco::AbstractObserver::equals()
notify
void notify(
Notification * pNf
) const;
See also: Poco::AbstractObserver::notify()
operator =
NObserver & operator = (
const NObserver & observer
);


This component deals with the parsing and delivery of the database from the back- to front- end.
The Database Upload Form component will drop a file onto the server with the monkey database. This database is provided in a tab delimited file (see an example). Your responsibility is to parse this tab delimited file and return a JSON array of objects (e.g., JSON array of objects for the previous example). Furthermore, it may be a good idea to cache the JSON file you create. The cache would have to be recreated every time that a new database is uploaded, though.
You must use PHP for the server-side scripting language, because this project will eventually reside on the IWU Sun server which has PHP most readily available.
Be sure that the JSON output looks like the provided example.
Review the PHP documentation on reading CSV files. Also, note that the Sun server has PHP version 5.1.6, so you cannot use functions like str_getcsv.


Operation Team Service Tasks |
Top Previous Next |
|
Operation Team Services Tasks - A Service Task is an activity that needs to be accomplished within a defined period of time or by a deadline. Tasks are measurable units that can be assigned, transitioned, started, paused, on-hold and completed. One or more tasks can be added and it all depends on the organization and how deep they want to measure the work within the Team Service. Any combination of tasks may be added to a custom project workflow. -The service task grid rows may be dragged and dropped to custom sort the task display. -The Form? grid field indicates if a form template has been created or created/published. - means the form has been created and is in save mode and not available to public use -means the form is published and available for case manager to access under New Project process -The Billable? grid field indicates if a task has been categorized as a billable task or billable task with force entry: - means the task is a billable task with force entry option selected. Force option means the user has to add a billable item before the task can be marked "complete" -means the task is a billable task without the force entry option selected -Add Operation Team Service Tasks -Remove Operation Team Service Tasks |


Before Change
only_predictions
)
if "combined" in output_stats and LOSS in output_stats["combined"]:
regularization = session.run(
[self.regularization_loss],
feed_dict={self.regularization_lambda: regularization_lambda}
)[0]
output_stats["combined"][LOSS] += regularization
// todo: tf2 debugging
fake_stats = OrderedDict(
[("y", OrderedDict([("loss", [9489.847173455057]),
("mean_squared_error", [9489.847173455057]),
("mean_absolute_error", [76.44962405086903]),
After Change
// todo: tf2 debugging
template = f"Dataset {name}:"
for measure, measure_fn in output_feature.measure_functions.items():
if measure_fn is not None: // todo tf2 test is needed only during development
template += f" {measure}: {measure_fn.result()}"
print(template)
fake_stats = OrderedDict(
[("y", OrderedDict([("loss", [9489.847173455057]),


Tables (datascience.tables
)¶
Summary of methods for Table. Click a method to see its documentation.
One note about reading the method signatures for this page: each method is listed with its arguments. However, optional arguments are specified in brackets. That is, a method that’s documented like
Table.foo
(first_arg, second_arg[, some_other_arg, fourth_arg])
means that the Table.foo
method must be called with first_arg and second_arg
and optionally some_other_arg and fourth_arg. That means the following are valid
ways to call Table.foo
:
some_table.foo(1, 2)
some_table.foo(1, 2, 'hello')
some_table.foo(1, 2, 'hello', 'world')
some_table.foo(1, 2, some_other_arg='hello')
But these are not valid:
some_table.foo(1) # Missing arg
some_table.foo(1, 2[, 'hi']) # SyntaxError
some_table.foo(1, 2[, 'hello', 'world']) # SyntaxError
If that syntax is confusing, you can click the method name itself to get to the details page for that method. That page will have a more straightforward syntax.
At the time of this writing, most methods only have one or two sentences of documentation, so what you see here is all that you’ll get for the time being. We are actively working on documentation, prioritizing the most complicated methods (mostly visualizations).
Creation
Table.__init__ ([columns, labels, formatter]) |
Create a table from a list of column values or dictionary of sequences. |
Table.from_rows (rows, column_labels) |
Create a table from a sequence of rows (fixed-length sequences). |
Table.from_records (records) |
Create a table from a sequence of records (dicts with fixed keys). |
Table.read_table (filepath_or_buffer, *args, ...) |
Read a table from a file or web address. |
Accessing values
Table.values (label) |
Returns the values of a column as an array. |
Table.num_rows |
Number of rows. |
Table.rows |
Return a view of all rows. |
Table.column_labels |
Return a tuple of column labels. |
Table.columns |
|
Table.column_index (column_label) |
Return the index of a column. |
Table.apply (fn, column_label) |
Returns an array where fn is applied to each element of a specified column. |
Mutation (modifies table in place)
Table.set_format (column_label_or_labels, ...) |
Set the format of a column. |
Table.move_to_start (column_label) |
Move a column to the first in order. |
Table.move_to_end (column_label) |
Move a column to the last in order. |
Table.append (row_or_table) |
Append a row or all rows of a table. |
Table.append_column (label, values) |
Appends a column to the table. |
Table.relabel (column_label, new_label) |
Change the label of a column. |
Transformation (creates a new table)
Table.copy () |
Return a copy of a Table. |
Table.select (column_label_or_labels) |
Return a Table with selected column or columns by label. |
Table.drop (column_label_or_labels) |
Return a Table with only columns other than selected label or labels. |
Table.take (row_numbers) |
Return a Table of a sequence of rows taken by number. |
Table.where (column_or_label[, value]) |
Return a Table of rows for which the column is value or a non-zero value. |
Table.sort (column_or_label[, descending, ...]) |
Return a Table of sorted rows by the values in a column. |
Table.group (column_or_label[, collect]) |
Group rows by unique values in column_label, aggregating values. |
Table.groups (column_labels[, collect]) |
Group rows by multiple columns, aggregating values. |
Table.pivot (columns, rows, values[, ...]) |
Generate a table with a column for rows (or a column for each row in rows list) and a column for each unique value in columns. |
Table.stack (key[, column_labels]) |
Takes k original columns and returns two columns, with col. |
Table.join (column_label, other[, other_label]) |
Generate a table with the columns of self and other, containing rows for all values of a column that appear in both tables. |
Table.stats ([ops]) |
Compute statistics for each column and place them in a table. |
Table.percentile (p) |
Returns a new table with one row containing the pth percentile for each column. |
Table.sample ([k, with_replacement, weights]) |
Returns a new table where k rows are randomly sampled from the original table. |
Table.split (k) |
Returns a tuple of two tables where the first table contains k rows randomly sampled and the second contains the remaining rows. |
Exporting / Displaying
Table.show ([max_rows]) |
Display the table. |
Table.as_text ([max_rows, sep]) |
Format table as text. |
Table.as_html ([max_rows]) |
Format table as HTML. |
Table.matrix () |
Return a 2-D array with the contents of the table. |
Table.index_by (column_or_label) |
Return a dict keyed by values in a column that contains lists of rows corresponding to each value. |
Visualizations
Table.plot ([column_for_xticks, overlay]) |
Plot contents as lines. |
Table.barh (column_for_categories[, overlay]) |
Plots horizontal bar charts for the table. |
Table.pivot_hist (pivot_column_label, ...[, ...]) |
Draw histograms of each category in a column. |
Table.hist ([overlay, bins, counts]) |
Plots one histogram for each column in the table. |
Table.points (column__lat, column__long[, ...]) |


Comments
-
Greg Hurrell
Thanks for submitting the feature request, Jeff.
I had a look at that other product you linked to and have clarified to the summary a bit to more accurately reflect what the behaviour is (a fade out followed by a fade in rather than a cross fade).
This shouldn't be too hard to add, particularly in Synergy Advance because of its underlying architecture. There are a few other higher-priority changes that I have to get finished first though so I'd say it's much more likely to be in 4.0 than 3.2.
-
bugzilla user 419
Awesome! Glad you think it's a feature worth adding. I eagerly await!
Add a comment
Comments are now closed for this issue.


Website demo created for two tier structure. Created by network engineer for network engineer. Check Portfolio
Reliable and skillful engineer brings back a peaceful worry free days. Everything is documented and you are rest assured for now and for the future.


{% extends "base.html" %} {% block style %}{% endblock style %} {% block breadcrumbs %}{{ super() }} › Bill Tracker › Sessions › {{response.session}} {% endblock breadcrumbs %} {% block content %}
Legislation that {{response.passfail}} the {{response.chamber}} chamber in the {{response.session}} Colorado legislative session.


-
Adil Malia
President Human Resources, Essar Group.
-
Mandip Maitra
Head Human Resources, HDFC Bank.
-
Makarand Khatavkar
Managing Director and Head Human Resources, Duetsche Bank.
-
Santrupt Mishra
Director, Aditya Birla Group.
Over the years many of our distinguished alumni have soared the heights of success, inspiring batches to come. Some of our illustrious alumni include -
- Adil Malia President HR, Essar Group
- Allen Sequeira Sr. VP HR, Mahindra & Mahindra
- Alok Mehta VP HR, AstraZeneca(India)
- Ashu Chopra VP HR, Firstsource
- Debashish Roy VP HR, Colgate Palmolive
- Inder Walia Director Group HR, Bharti Group
- Nalin Garg VP HR, Coca Cola India
- Mohit Nagrath Global Chief People Officer, P&G
- Mandip Maitra Head HR, HDFC Bank
- Pramod Sadarjoshi Executive Director, IDBI Bank
- Pranesh Anthapur COO, Yahoo
- Santrupt Mishra Director, Aditya Birla Group
- Shrihari Udupa Chief People Officer, PWC India
- Suchismita Burman Director HR, AOL
- Uday Mohan Head HR, Pfizer
- Ulhas Deshpande CEO, Intellecash at Intellcap
- Suvamoy Roy Choudhury Regional HR Director South Asia, Reckitt Benckiser
- Swadesh Behera Director HR, MSD Pharmaceuticals (an affiliate of Merck & Co.)
- Makrand Khatavkar Managing Director, & Head HR, Deutsche Bank


I was just looking at and trying to build the Primeval Champion. I see it takes epic weapon specialization on level 27 which is listed as a COT level up. I thought epic wp specialization was only for fighter and had to be on a fighter level. I only see 4 fighter levels in the build and all are pre- epic. Is this a typo or something?
Thanks, Mano _________________ A Man of War who treads the world's roads alone, as I do, must be quick. Long ago I learned to strike swiftly and without scruple. I trouble no man without cause, but one who attacks me had best resolve himself to die!
i made the build on a hack n slash server and it works following the level progression so not a typo
P.s i dont know why ews is on cot lvl up all i know is it works
COT due to a feature/bug is allowed to take EWS as a feat. It cannot take standard weapon specialisation however.
COT due to a feature/bug is allowed to take EWS as a feat. It cannot take standard weapon specialisation however.
Syrath
Ah, another one of those, "The manual is wrong !!!" type of things lol. Well, that's good to know in case of building a fighter / cot and not having to work in a fighter level post epic just for ews.
Thanks for the response!!! _________________ A Man of War who treads the world's roads alone, as I do, must be quick. Long ago I learned to strike swiftly and without scruple. I trouble no man without cause, but one who attacks me had best resolve himself to die!


OVHcloud is a leader in the hosted private cloud services space in Europe.
They offer a managed Kubernetes service as well as a managed private registry for Docker images.
This page describes how to create a Kubernetes cluster using the OVH Control Panel, and how to access the cluster using the command line with kubectl.
kubectl
Log in to the OVH Control Panel.
Note
You first need to create an OVH account if you don’t have one already.
Click on the Public Cloud tab in the navigation bar.
If you don’t have an OVH Stack, you can create one by clicking on the following button:
Select a name for the project
If you don’t have a payment method yet, select one and click on “Create my project”:
Using the Public Cloud interface, click on Managed Kubernetes Service and then Create a Kubernetes cluster:
Select a Location, 1.15 as the Kubernetes version and a name for the cluster:
Click on Send
Once the cluster is ready, click on Nodes to add 2 nodes:
You can start with the b2-7 flavor, or choosing a different flavor based on your requirements.
Download the kubeconfig file and store it under ~/.kube/config on your machine.
kubeconfig
~/.kube/config
To test if your cluster is initialized, run:
kubectl get node The response should list two running nodes (or however many nodes you set with --num-nodes above). Note Check out the Kubernetes Documentation to install kubectl.
kubectl get node
The response should list two running nodes (or however many nodes you set with --num-nodes above).
--num-nodes
Check out the Kubernetes Documentation to install kubectl.
Congrats! Now that you have your Kubernetes cluster running, it’s time to begin Setup JupyterHub.


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string base_convert ( string $number , int $frombase , int $tobase )
Returns a string containing number represented in base tobase. The base in which number is given is specified in frombase. Both frombase and tobase have to be between 2 and 36, inclusive. Digits in numbers with a base higher than 10 will be represented with the letters a-z, with a meaning 10, b meaning 11 and z meaning 35. Warning base_convert() may lose precision on large numbers due to properties related to the internal "double" or "float" type used. Please see the Floating point numbers section in the manual for more specific information and limitations.
number converted to base tobase


Places to go:
Contents:
test
directory.
Test
menu which has choices for the tests arranged
by directory.
$TYCHO/kernel/basic/test/testStack.itcl
with Tycho and then evaluate the contents of the file with
the Evaluate
choice from the File
menu
(C-x C-r
).
$TYCHO/mk/tycommon.mk
file automagically generates two Itcl files:
all.itcl
*.itcl
files in the
current directory.
alltests.itcl
makefile
.
make sources
, you can open up either of these files
and then evaluate it, which will run all the tests in that directory.
$TYCHO/kernel/gui/test/alltychotests.tcl
alltychotests.tcl
will run all the alltests.itcl
files. $TYCHO/makefile
has two rules:
make alltests
tycho
make alltests.ptiny
tycho -ptiny
make
, you can try
source [file join $TYCHO kernel gui test alltychotests.tcl]
test
directory and typing make
from a shell. To try this out,
click on the Tcl code below:
::tycho::execModal {make} "[file join $TYCHO kernel gui test]"
$TYCHO
) directory with the command: make tests
Test Template
under the Special
menu. This menu choice loads the file
$TYCHO/edit/textedit/templates/testTemplate
into the Itcl editor.
The file $TYCHO/kernel/gui/test/testDefs.tcl
defines the Tcl proc test
.
test
takes four arguments:
foo-1.0
testDefs.tcl
file and then runs one test. The code below
has the incorrect value return results to be compared against, so the
test suite properly indicates that the test failed.
if {[string compare test [info procs test]] == 1} then { source [file join $TYCHO kernel gui test testDefs.tcl] } {} test testExample-1.1 {This is the first test example, it does very little} { catch {this is an error} errMsg1 set a "this is the value of a" list $errMsg1 $a } {{invalid command name "this"} {this is NOT the value of a}}
test
directory.
The EditItcl class has a test file template menu choice under
the Special
menu. The template is located at
$TYCHO/edit/textedit/templates/testTemplate.itcl
It is better to have many small test files as opposed to a few
large test files so that other developers can quickly find the tests
for the class they are working with. Usually tests for the class
Foo
are found in the file test/testFoo.itcl
See $TYCHO/kernel/gui/test/testGraph.itcl
for an example test file.
Each test file should have the following parts:
test
.
For example, if we were testing the Tcl foo
command, then
the file would be named testFoo.itcl
. The extension of the file
is either .tcl
or .itcl
:
Most of the tests are .itcl
files.
package require tycho.util.tytest
#set VERBOSE 1
############################################################################ #### Foo test Foo-1.1 {Test out Foo} { } {}
It is up to the author of the tests as to whether each individual test does all the set up necessary. If each test is atomic, then it makes it easy to highlight the text of an individual test and run it. If lots of tests are sharing common setup, then using a separate procedure to do setup might help. On the negative side, atomic tests usually are longer and have more complicated return results.
The problem is that when a model dialog box comes up, execution
halts, so during testing the user would need to know what button to
hit. To work around this, the
Dialog::wait
procedure (which is user to wait for
the result of all modal
dialog boxes in Tycho)
checks for the TY_TESTING
global variable, to see if it has been called from within
a test script. If so, then Dialog::wait
will not
actually make the dialog model but will do
one of two things:
TY_TEST_MODAL
exists
and is not null, then this is taken to be a list of
scripts. It will remove the first script from this list,
and evaluate it at the global scope with the name of the dialog box
substituted for every occurrence of the string %0
. The
script should invoke methods of the dialog box to insert
data into the dialog and invoke buttons, as a user would
in normal usage. The return result from the call to
Dialog::wait
will be the same as if
a user had invoked those operations and closed the modal
dialog. Because Dialog::wait
removes
the script from TY_TEST_MODAL
, successive calls
to Dialog::wait
execute each script in the list
in succession, allowing tests to easily simulate user input
from a complex succession of dialog boxes.
TY_TEST_MODAL
does not
exist or is null, then Dialog::wait
just returns
the name of the dialog box.
For example, the
$TYCHO/kernel/gui/test/testWidgets.itcl
script includes a test for YesNoQuery
:
if {[string compare test [info procs test]] == 1} then {
source $TYCHO/kernel/gui/test/testDefs.tcl
} {}
test YesNoQuery-2.1 {Test the modal ::tycho::askuser proc} {
set TY_TEST_MODAL {
{
%0 invoke yes
}
}
::tycho::askuser "Are you awake?"
} 1
Note that TY_TEST_MODAL
must be a list of
scripts, even if the list contains only one script. Here is
another sample test that simulates the user interaction to
a series of two dialog boxes.
The code being test is an example from
the
Dialog Classes tutorial:
if {[string compare test [info procs test]] == 1} then {
source $TYCHO/kernel/gui/test/testDefs.tcl
} {}
test sampleTest-1 {Test a series of modal dialogs} {
# Set the series of response to the dialogs. The
# first one clicks on the Yes button, the second clicks
# on the OK button. Note that comments
set TY_TEST_MODAL {
{
# This script simulates pressing the Yes button
# of the YesNoQuery box
%0 invoke yes
}
{
# This script simulates pressing the OK button
# of the Message box invoked by :tycho::inform
%0 invoke ok
}
}
# Now execute the code that creates the modal dialogs.
# In this case, the result is null.
::tycho::YesNoQuery .z -text {Are you awake?}
if [::tycho::Dialog::wait .z] {
::tycho::inform {You said yes!}
} {
::tycho::inform {Then how did you click on the No button?}
}
} {}
event generate
event generate
command is very handy for testing
widgets by generating an event in a window as if it had come from the
window system.
The tests below are doing an <Enter>
and
<Leave>
of a button and checking the text placed
into a status bar:
update test ButtonBox-3.3 {Enter button and check status bar} { event generate [.bb component buttonfoo] <Enter> .sb get } {The Foo button} update test ButtonBox-3.4 {Leave the button} { event generate [.bb component buttonfoo] <Leave> .sb get } {}
ftp://ftp.cre.canon.co.uk/pub/weblint/weblint.tar.gz
To run weblint
:
cd $TYCHO make weblint
htmlchek
also checks for bad links. The
htmlchek
output is a little hard to read, so we tend to
use weblint
for checking individual files.
htmlchek
can be obtained from
ftp://ftp.cs.buffalo.edu/pub/htmlchek/
The best way to run htmlchek
is to create a sample
distribution, create the files in the codeDoc
directory
and then run htmlchek
cd /users/ptdesign/adm/gen-latest; make htmlchek
TYCHO
to point to the test distribution:
setenv TYCHO /users/ptdesign/adm/dists/tycho-latest cd $TYCHO
make install
. This will make the Itcl HTML docs
twice, which will populate the doc/codeDoc
directories.
You need to make the Itcl HTML docs twice so that the cross references are
correct.
make htmlchek
All of the references in htmlchekout.HREF
that point
to .html
files should be checked. References to non-HTML
files appear in htmlchekout.HREF
because the non-HTML
files were not included in the list of files that
htmlchek
ran on. One quick way to search all the the *.html
files is
cd $TYCHO grep mystring `find . -name "*.html" -print`
cd $TYCHO spell `find . -name "*.html" -print`You can spell check an individual HTML file by using the HTML editor built-in spell checker under the
Edit
menu.
<TCL> . . . <TCL>
tags. In the Tycho HTML viewer, when the contents of these tags are
moused on, the embedded Tcl code is executed.
To test all of the embedded Tcl, the script
$TYCHO/adm/bin/chktclpre
will generated a
tclpre.html
file that contains all of the embedded Tcl.
This script is not shipped with Tycho.
After running chktclpre
, start up Tycho, view
tclpre.html
and mouse on each block of embedded Tcl code.
Note that some blocks depend on the widgets created in earlier blocks.
If you run into problems, you can follow the hyperlink in
tclpre.html
to the source HTML file.
~ptdesign/adm/copyright/chkq $TYCHO
to print out
the names of files that might have bogus %Q%
values.
Then run ~ptdesign/adm/bin/sccsadmin
on each file that
has no value for %Q%
substituted in.
make realclean
tclIndex
files and the files in
doc/codeDoc
. The reason to remove the
codeDoc
files is so that we don't ship HTML files for any
classes that have been removed.
make install
tclIndex
files and the
doc/codeDoc
files.
make checkjunk
adm/bin/chkgifs
$TYCHO/bin/tycho
script
can be tested with the $TYCHO/kernel/gui/test/chktycho
script.
This script calls tycho
with all the various
combinations of command line arguments. chktycho
adds a
line to ~/.Tycho/tychorc.tcl
so
that tycho
is exited after a few seconds. This allows
the script to test many invocations of tycho
without user
intervention. However to test the -debug
option, the
user must type cont
in the gdb
window.


We are pleased to announce the first annual Emerging Researchers in Exoplanet Science Symposium (ERES) to be held May 28 & 29, 2015 at the Pennsylvania State University in University Park, PA. ERES is aimed at early career scientists (graduate student, postdoc, advance undergraduate) working in all branches of exoplanetary science and related disciplines (e.g., brown dwarfs, protoplanetary disks, star formation, related instrumentation and theory). Its purpose is to give these emerging researchers the opportunity to present their research to an interested audience, to provide plenty of opportunities to network with peers, and to enhance collaborations within exoplanet community. ERES will be held annually on a rotating basis between partner institutions. The 2015 meeting is graciously supported by the NASA Exoplanet Science Institute
Registration is now closed.
Abstract submission is now closed. However, you may submit a late abstract as a poster presentation here
The conference rate booking deadline has passed.
Presentation Guidelines
Oral Presentations
All talks are 10 minutes long, with an additional time for Q&A.
Your talk session chair will contact you soon to provide information on how to submit your materials for presentation.
You will need to submit your presentation materials to your session chair at least one week before your talk.
Poster Presentations
Posters should be no more than 36 inches in width and 44 inches in hight.
All poster presenters will also be invited to give a Poster Pop presentation. Poster Pops are 60 second long advertisements for your poster that you will present to the rest of the participants.
Your Poster Pop can have one slide with information on your research or a figure that will be shown while you talk about your poster.
Your poster session chair will email you soon with more details about how you can submit your slide for your poster pop. Submissions must be made at least a week before the poster session.
Any queries about the poster session or Poster Pop session can be sent to
<EMAIL_ADDRESS>Future Meetings
2016 Cornell University, Ithaca, NY
2017 Yale University, New Haven, CT
Latest News
Things are ramping up for the First Emerging Researchers in Exoplanet Science Symposium (May 28th & 29th). We have over ninety participants registered, and more than 70 abstracts submitted, so we are expecting an exciting and vibrant conference!  We are hard at work on the final science program schedule and will post it soon.
When planning your trip to State College, keep in mind that the group rates for both hotels expire on April 27th, so it is important to book your stay before then. We encourage attendees, especially those receiving travel grants, to find a roommate to share hotel rooms with. We have set up room share matching form on the Travel page to help you find a roommate.
The booking infomation for the conference hotels is below. More details can be found on our Travel page at http://eres-symposium.org/
The Nittany Lion Inn (The Conference Site)
$125.00 plus hotel occupancy tax for both single/double occupancy
Book your room at www.pennstatehotels.com or by calling<PHONE_NUMBER>
The block code is PENE15H
Update April 20th
The Nittany Lion Inn has no more rooms for Friday evening. If you plan to stay in State College overnight on Friday the 29th, you may want to book at the Days Inn.
Days Inn State College
Days Inn (a twenty minute walk to the conference site)
$86.00 a night plus taxes (The price goes to $116.00 for Friday night)
To make your reservation, call the hotel directly at<PHONE_NUMBER>.
The block code is CGERES. This code will not work online, unfortunately.
We are looking forward to seeing you in May at Penn State!
Do you have questions about ERESS? Now The answers can be found on our shiny new FAQ!
But, wait, what if my question isn’t in the FAQ? We got you covered! Shoot us an email at<EMAIL_ADDRESS>See you in May!
-The OC
Registration for the first annual Emerging Researchers in Exoplanet Science Symposium (ERES) is now open! We are encouraging interested participants to register by January 30th, 2015 to receive a discounted rate. The normal registration deadline and deadline for abstract submission is March 26, 2015.
You can find a PDF of the conference poster at eres-symposium.org/ERESS_Poster.pdf to advertise ERES around your department.
Help us plan for next May by taking a moment to pre-register and sign up on our mailing list.


I am an Archivist/Librarian
A blog about stuff. And things. Sometimes both.
As the CUNY TV Archives makes heavy use of GitHub for their workflows, in my residency I have had the opportunity to learn about more efficient ways to use this tool. GitHub is a service that not only allows for the hosting of information, but for tracking of changes to that information and collaboration. Before I started my residency I took advantage of GitHub to store and distribute scripts across different units in the Library. This was great, however, the way in which I was using it (cut and pasting into the browser window and updating without any comments) made it impossible to take advantage of a lot of GitHub’s functionality, along with creating lots of headaches. Enter GitHub Desktop.
GitHub desktop is a GUI (Graphical User Interface) that enables you to control and keep track of activity on your GitHub repositories. I had actually experimented with it when I first started GitHub, but stopped because I found it confusing. This is because I mistakenly believed that it was used as an editor rather than a means of tracking and controlling edits, an important distinction. Well, enough talking - more rocking! Let’s take a quick look at how to get started using GitHub desktop!
The first thing you need is, not surprisingly, a GitHub account! In creating your account, there are many resources available online to help you pick your hacker name (this step is VERY important). Next, install GitHub Desktop and sign in with your account.
Once you are signed in, try creating a repository (a place where your projects will live) by going to the ‘Repositories’ tab and clicking ‘New’ in the upper left corner. Now you can choose a name and description for your repository. Make sure to check the box for ‘Initialize this Repository with a README’ as this is what we will be editing in this example.
Once you have created your Repository, you can ‘Clone’ it to your computer and manage it with the GitHub desktop application. Do this by clicking the ‘Clone or Download’ button and selecting ‘Open in Desktop.’ Answer yes to the prompts and GitHub Desktop will load. It will ask you where you would like to download the repository; you can use the default or pick somewhere else.
Once you have the repository cloned to your computer, you can start working on it and managing changes! Under the ‘Repository’ menu, choose ‘Open in Finder.’ This should open a folder (your repository!) that contains a file called README.md. Open this file in a text editor.
In the text editor you should see a little bit of information already, such as the name of your repository. Try adding something and saving the file!
Once you have done this, go back to GitHub Desktop. At the top of the window there should be a button that says ‘1 Uncommitted Change.’ Click on this, and it will bring up a screen that allows you to accept/reject and describe changes made to your file. By default all of the changes are flagged to be accepted. Click on the blue area to deselect them if you wish. Then add a name/description of the change and hit ‘Commit to Master.’ Press the ‘Sync’ button in the upper right corner, and now the changes have been logged and added to your online repository! Try refreshing your repository in your browser and see what it looks like-your changes should be there! Additionally, your change has been recorded in the history of your repository. This will become super useful once you start building something incrementally (or with multiple people).
Obviously this just scratches the surface of how to use GitHub, and there are other ways to manage your repository (such as via the command line) but hopefully it can be a first step towards feeling more comfortable with this tool. It’s hacking time!


Documentation
See https://librosa.org/doc/ for a complete reference manual and introductory tutorials.
We also have a developer blog.
Installation
The latest stable release is available on PyPI, and you can install it by saying
pip install librosa
librosa is also available as a conda package. You can install it by saying
conda install -c conda-forge librosa
Discussion
Please direct non-development questions and discussion topics to our web forum at https://groups.google.com/forum/#!forum/librosa


- NAME
- read - Read from a channel
- SYNOPSIS
- read ?-nonewline? channelId
- read channelId numChars
- DESCRIPTION
- USE WITH SERIAL PORTS
- read channelId numChars
- read channelId
- EXAMPLE
- SEE ALSO
- KEYWORDS
read - Read from a channel
read ?-nonewline? channelId
read channelId numChars
In the first form, the read command reads all of the data from
channelId up to the end of the file. If the -nonewline
switch is specified then the last character of the file is discarded
if it is a newline. In the second form, the extra argument specifies
how many characters to read. Exactly that many characters will be
read and returned, unless there are fewer than numChars left in
the file; in this case all the remaining characters are returned. If
the channel is configured to use a multi-byte encoding, then the
number of characters read may not be the same as the number of bytes
read.
ChannelId must be an identifier for an open channel such as the
Tcl standard input channel (stdin), the return value from an
invocation of open or socket, or the result of a channel
creation command provided by a Tcl extension. The channel must have
been opened for input.
If channelId is in nonblocking mode, the command may not read as
many characters as requested: once all available input has been read,
the command will return the data that is available rather than
blocking for more input. If the channel is configured to use a
multi-byte encoding, then there may actually be some bytes remaining
in the internal buffers that do not form a complete character. These
bytes will not be returned until a complete character is available or
end-of-file is reached. The -nonewline switch is ignored if
the command returns before reaching the end of the file.
Read translates end-of-line sequences in the input into
newline characters according to the -translation option
for the channel.
See the fconfigure manual entry for a discussion on ways in
which fconfigure will alter input.
For most applications a channel connected to a serial port should be
configured to be nonblocking: fconfigure channelId -blocking
0. Then read behaves much like described above. Care
must be taken when using read on blocking serial ports:
- read channelId numChars
-
In this form read blocks until numChars have been received
from the serial port.
- read channelId
-
In this form read blocks until the reception of the end-of-file
character, see fconfigure -eofchar. If there no end-of-file
character has been configured for the channel, then read will
block forever.
This example code reads a file all at once, and splits it into a list,
with each line in the file corresponding to an element in the list:
set fl [open /proc/meminfo]
set data [read $fl]
close $fl
set lines [split $data \n]
file, eof, fblocked, fconfigure, Tcl_StandardChannels
blocking, channel, end of line, end of file, nonblocking, read, translation, encoding
Copyright © 1993 The Regents of the University of California.
Copyright © 1994-1996 Sun Microsystems, Inc.
Copyright © 1995-1997 Roger E. Critchlow Jr.


|
iota.lib.cpp
IOTA C++ Library
|
#include <kerl.hpp>
Public Member Functions | |
| void | reset () |
| void | absorb (const std::vector< uint8_t > &bytes, std::size_t offset=0, std::size_t length=0) |
| void | squeeze (std::vector< uint8_t > &bytes, std::size_t offset=0) |
| void | finalSqueeze (std::vector< uint8_t > &bytes, std::size_t offset=0) |
Hashing algorithm, based on keccak. Trits are absorbed by the sponge function and later squeezed to provide message digest, derive keys etc.
| void IOTA::Crypto::Kerl::absorb | ( | const std::vector< uint8_t > & | bytes, |
| std::size_t | offset = 0 , |
||
| std::size_t | length = 0 |
||
| ) |
Absorb the input bytes into the current state of the sponge.
| bytes | Input bytes to be absorbed on current state of the sponge. |
| offset | Offset at which the current state of the sponge should be modified. |
| length | Length of the given input that should be used for absorption. |
| void IOTA::Crypto::Kerl::finalSqueeze | ( | std::vector< uint8_t > & | bytes, |
| std::size_t | offset = 0 |
||
| ) |
Squeeze the final current state of the sponge to the given trits. Kerl should not be used after this function is called, unless it is reset.
| bytes | Bytes to be squeezed based on current state of the sponge. |
| offset | Offset at which the bytes should be modified. |
| void IOTA::Crypto::Kerl::reset | ( | ) |
Reset current state of the sponge.
| void IOTA::Crypto::Kerl::squeeze | ( | std::vector< uint8_t > & | bytes, |
| std::size_t | offset = 0 |
||
| ) |
Squeeze the current state of the sponge to the given trits.
| bytes | Bytes to be squeezed based on current state of the sponge. |
| offset | Offset at which the bytes should be modified. |


“To create a better everyday life for the many people”, this is
the MEA&KAI vision. Our business idea is “to offer a wide range of
well-designed, functional home furnishing products at prices so
low that as many people as possible will be able to afford them”.
We work hard to achieve quality at affordable prices for our
customers through optimising our entire value chain, by building
long-term supplier relationships, investing in highly automated
production and producing large volumes. Our vision also goes
beyond home furnishing. We want to create a better everyday for
all people impacted by our business.
“At MEA&KAI, we believe we can improve people's lives through
business. Founded in 2006, we understand the imperative for our
company to operate responsibly and know that you want to buy from
a company that works hard to integrate sustainable and responsible
practices into all that they do. Our efforts are focused on making
sure that we operate in a manner that's consistent with our brand
values. We'll continue to travel this path and communicate with
you along the journey.”
MEA&KAI was founded to help provide shoes for children in need,
and over the years, they’ve embraced numerous other charitable
causes as well. While the specific need they’re addressing isn’t
explicitly stated in the Corporate Responsibility excerpt above,
it is the focus of their company story.
The values they support are sustainable and responsible practices
for both business and community, both of which they introduce in
the excerpt above. MEA&KAI's sacrifices revenue for those values
by giving away products and choosing ethically sourced materials,
suppliers and vendors.
Operating in alignment with their values is central to their
mission, and their focus on fostering community brings people into
their mission as well. They highlight their commitment to
customers by speaking to them directly in the second person
throughout their mission statement.
In 1887, John W. Nordstrom, at 16 years old, left Sweden for the
United States. He arrived in New York with $5 in his pocket,
unable to speak a word of English.
The young immigrant labored in mines and logging camps as he
crossed the country to California and Washington. In 1897, he
headed north to Alaska and the Klondike in search of gold. Two
years later, he returned to Seattle with a $13,000 stake, ready to
settle down.
Carl F. Wallin, a Seattle shoemaker Nordstrom had met in Alaska,
offered him a partnership in a shoe store. In 1901, they opened
their first store, Wallin & Nordstrom, on Fourth and Pike in
Seattle.
The business grew and, in 1923, the partners added a second store
in Seattle's University District.
In 1928, John retired and sold his share of the company to his
sons Everett and Elmer. Carl Wallin retired a year later and also
sold his share to the Nordstrom sons. John's third son, Lloyd,
joined the team in 1933.


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Metrics are statistical information exposed by Hadoop daemons, used for monitoring, performance tuning and debug. There are many metrics available by default and they are very useful for troubleshooting. This page shows the details of the available metrics.
Each section describes each context into which metrics are grouped.
The documentation of Metrics 2.0 framework is here.
Each metrics record contains tags such as ProcessName, SessionID and Hostname as additional information along with metrics.
| Name | Description |
|---|---|
| MemNonHeapUsedM | Current non-heap memory used in MB |
| MemNonHeapCommittedM | Current non-heap memory committed in MB |
| MemNonHeapMaxM | Max non-heap memory size in MB |
| MemHeapUsedM | Current heap memory used in MB |
| MemHeapCommittedM | Current heap memory committed in MB |
| MemHeapMaxM | Max heap memory size in MB |
| MemMaxM | Max memory size in MB |
| ThreadsNew | Current number of NEW threads |
| ThreadsRunnable | Current number of RUNNABLE threads |
| ThreadsBlocked | Current number of BLOCKED threads |
| ThreadsWaiting | Current number of WAITING threads |
| ThreadsTimedWaiting | Current number of TIMED_WAITING threads |
| ThreadsTerminated | Current number of TERMINATED threads |
| GcInfo | Total GC count and GC time in msec, grouped by the kind of GC. ex.) GcCountPS Scavenge=6, GCTimeMillisPS Scavenge=40, GCCountPS MarkSweep=0, GCTimeMillisPS MarkSweep=0 |
| GcCount | Total GC count |
| GcTimeMillis | Total GC time in msec |
| LogFatal | Total number of FATAL logs |
| LogError | Total number of ERROR logs |
| LogWarn | Total number of WARN logs |
| LogInfo | Total number of INFO logs |
| GcNumWarnThresholdExceeded | Number of times that the GC warn threshold is exceeded |
| GcNumInfoThresholdExceeded | Number of times that the GC info threshold is exceeded |
| GcTotalExtraSleepTime | Total GC extra sleep time in msec |
Each metrics record contains tags such as Hostname and port (number to which server is bound) as additional information along with metrics.
| Name | Description |
|---|---|
| ReceivedBytes | Total number of received bytes |
| SentBytes | Total number of sent bytes |
| RpcQueueTimeNumOps | Total number of RPC calls |
| RpcQueueTimeAvgTime | Average queue time in milliseconds |
| RpcProcessingTimeNumOps | Total number of RPC calls (same to RpcQueueTimeNumOps) |
| RpcProcessingAvgTime | Average Processing time in milliseconds |
| RpcAuthenticationFailures | Total number of authentication failures |
| RpcAuthenticationSuccesses | Total number of authentication successes |
| RpcAuthorizationFailures | Total number of authorization failures |
| RpcAuthorizationSuccesses | Total number of authorization successes |
| NumOpenConnections | Current number of open connections |
| CallQueueLength | Current length of the call queue |
| rpcQueueTimenumsNumOps | Shows total number of RPC calls (num seconds granularity) if rpc.metrics.quantile.enable is set to true. num is specified by rpc.metrics.percentiles.intervals. |
| rpcQueueTimenums50thPercentileLatency | Shows the 50th percentile of RPC queue time in milliseconds (num seconds granularity) if rpc.metrics.quantile.enable is set to true. num is specified by rpc.metrics.percentiles.intervals. |
| rpcQueueTimenums75thPercentileLatency | Shows the 75th percentile of RPC queue time in milliseconds (num seconds granularity) if rpc.metrics.quantile.enable is set to true. num is specified by rpc.metrics.percentiles.intervals. |
| rpcQueueTimenums90thPercentileLatency | Shows the 90th percentile of RPC queue time in milliseconds (num seconds granularity) if rpc.metrics.quantile.enable is set to true. num is specified by rpc.metrics.percentiles.intervals. |
| rpcQueueTimenums95thPercentileLatency | Shows the 95th percentile of RPC queue time in milliseconds (num seconds granularity) if rpc.metrics.quantile.enable is set to true. num is specified by rpc.metrics.percentiles.intervals. |
| rpcQueueTimenums99thPercentileLatency | Shows the 99th percentile of RPC queue time in milliseconds (num seconds granularity) if rpc.metrics.quantile.enable is set to true. num is specified by rpc.metrics.percentiles.intervals. |
| rpcProcessingTimenumsNumOps | Shows total number of RPC calls (num seconds granularity) if rpc.metrics.quantile.enable is set to true. num is specified by rpc.metrics.percentiles.intervals. |
| rpcProcessingTimenums50thPercentileLatency | Shows the 50th percentile of RPC processing time in milliseconds (num seconds granularity) if rpc.metrics.quantile.enable is set to true. num is specified by rpc.metrics.percentiles.intervals. |
| rpcProcessingTimenums75thPercentileLatency | Shows the 75th percentile of RPC processing time in milliseconds (num seconds granularity) if rpc.metrics.quantile.enable is set to true. num is specified by rpc.metrics.percentiles.intervals. |
| rpcProcessingTimenums90thPercentileLatency | Shows the 90th percentile of RPC processing time in milliseconds (num seconds granularity) if rpc.metrics.quantile.enable is set to true. num is specified by rpc.metrics.percentiles.intervals. |
| rpcProcessingTimenums95thPercentileLatency | Shows the 95th percentile of RPC processing time in milliseconds (num seconds granularity) if rpc.metrics.quantile.enable is set to true. num is specified by rpc.metrics.percentiles.intervals. |
| rpcProcessingTimenums99thPercentileLatency | Shows the 99th percentile of RPC processing time in milliseconds (num seconds granularity) if rpc.metrics.quantile.enable is set to true. num is specified by rpc.metrics.percentiles.intervals. |
Metrics of rpcdetailed context are exposed in unified manner by RPC layer. Two metrics are exposed for each RPC based on its name. Metrics named "(RPC method name)NumOps" indicates total number of method calls, and metrics named "(RPC method name)AvgTime" shows average turn around time for method calls in milliseconds.
Each metrics record contains tags such as Hostname and port (number to which server is bound) as additional information along with metrics.
The Metrics about RPCs which is not called are not included in metrics record.
| Name | Description |
|---|---|
| methodnameNumOps | Total number of the times the method is called |
| methodnameAvgTime | Average turn around time of the method in milliseconds |
Each metrics record contains tags such as ProcessName, SessionId, and Hostname as additional information along with metrics.
| Name | Description |
|---|---|
| CreateFileOps | Total number of files created |
| FilesCreated | Total number of files and directories created by create or mkdir operations |
| FilesAppended | Total number of files appended |
| GetBlockLocations | Total number of getBlockLocations operations |
| FilesRenamed | Total number of rename operations (NOT number of files/dirs renamed) |
| GetListingOps | Total number of directory listing operations |
| DeleteFileOps | Total number of delete operations |
| FilesDeleted | Total number of files and directories deleted by delete or rename operations |
| FileInfoOps | Total number of getFileInfo and getLinkFileInfo operations |
| AddBlockOps | Total number of addBlock operations succeeded |
| GetAdditionalDatanodeOps | Total number of getAdditionalDatanode operations |
| CreateSymlinkOps | Total number of createSymlink operations |
| GetLinkTargetOps | Total number of getLinkTarget operations |
| FilesInGetListingOps | Total number of files and directories listed by directory listing operations |
| AllowSnapshotOps | Total number of allowSnapshot operations |
| DisallowSnapshotOps | Total number of disallowSnapshot operations |
| CreateSnapshotOps | Total number of createSnapshot operations |
| DeleteSnapshotOps | Total number of deleteSnapshot operations |
| RenameSnapshotOps | Total number of renameSnapshot operations |
| ListSnapshottableDirOps | Total number of snapshottableDirectoryStatus operations |
| SnapshotDiffReportOps | Total number of getSnapshotDiffReport operations |
| TransactionsNumOps | Total number of Journal transactions |
| TransactionsAvgTime | Average time of Journal transactions in milliseconds |
| SyncsNumOps | Total number of Journal syncs |
| SyncsAvgTime | Average time of Journal syncs in milliseconds |
| TransactionsBatchedInSync | Total number of Journal transactions batched in sync |
| BlockReportNumOps | Total number of processing block reports from DataNode |
| BlockReportAvgTime | Average time of processing block reports in milliseconds |
| CacheReportNumOps | Total number of processing cache reports from DataNode |
| CacheReportAvgTime | Average time of processing cache reports in milliseconds |
| SafeModeTime | The interval between FSNameSystem starts and the last time safemode leaves in milliseconds. (sometimes not equal to the time in SafeMode, see HDFS-5156) |
| FsImageLoadTime | Time loading FS Image at startup in milliseconds |
| FsImageLoadTime | Time loading FS Image at startup in milliseconds |
| GetEditNumOps | Total number of edits downloads from SecondaryNameNode |
| GetEditAvgTime | Average edits download time in milliseconds |
| GetImageNumOps | Total number of fsimage downloads from SecondaryNameNode |
| GetImageAvgTime | Average fsimage download time in milliseconds |
| PutImageNumOps | Total number of fsimage uploads to SecondaryNameNode |
| PutImageAvgTime | Average fsimage upload time in milliseconds |
Each metrics record contains tags such as HAState and Hostname as additional information along with metrics.
| Name | Description |
|---|---|
| MissingBlocks | Current number of missing blocks |
| ExpiredHeartbeats | Total number of expired heartbeats |
| TransactionsSinceLastCheckpoint | Total number of transactions since last checkpoint |
| TransactionsSinceLastLogRoll | Total number of transactions since last edit log roll |
| LastWrittenTransactionId | Last transaction ID written to the edit log |
| LastCheckpointTime | Time in milliseconds since epoch of last checkpoint |
| CapacityTotal | Current raw capacity of DataNodes in bytes |
| CapacityTotalGB | Current raw capacity of DataNodes in GB |
| CapacityUsed | Current used capacity across all DataNodes in bytes |
| CapacityUsedGB | Current used capacity across all DataNodes in GB |
| CapacityRemaining | Current remaining capacity in bytes |
| CapacityRemainingGB | Current remaining capacity in GB |
| CapacityUsedNonDFS | Current space used by DataNodes for non DFS purposes in bytes |
| TotalLoad | Current number of connections |
| SnapshottableDirectories | Current number of snapshottable directories |
| Snapshots | Current number of snapshots |
| BlocksTotal | Current number of allocated blocks in the system |
| FilesTotal | Current number of files and directories |
| PendingReplicationBlocks | Current number of blocks pending to be replicated |
| UnderReplicatedBlocks | Current number of blocks under replicated |
| CorruptBlocks | Current number of blocks with corrupt replicas. |
| ScheduledReplicationBlocks | Current number of blocks scheduled for replications |
| PendingDeletionBlocks | Current number of blocks pending deletion |
| ExcessBlocks | Current number of excess blocks |
| PostponedMisreplicatedBlocks | (HA-only) Current number of blocks postponed to replicate |
| PendingDataNodeMessageCourt | (HA-only) Current number of pending block-related messages for later processing in the standby NameNode |
| MillisSinceLastLoadedEdits | (HA-only) Time in milliseconds since the last time standby NameNode load edit log. In active NameNode, set to 0 |
| BlockCapacity | Current number of block capacity |
| StaleDataNodes | Current number of DataNodes marked stale due to delayed heartbeat |
| TotalFiles | Current number of files and directories (same as FilesTotal) |
The server-side metrics for a journal from the JournalNode's perspective. Each metrics record contains Hostname tag as additional information along with metrics.
| Name | Description |
|---|---|
| Syncs60sNumOps | Number of sync operations (1 minute granularity) |
| Syncs60s50thPercentileLatencyMicros | The 50th percentile of sync latency in microseconds (1 minute granularity) |
| Syncs60s75thPercentileLatencyMicros | The 75th percentile of sync latency in microseconds (1 minute granularity) |
| Syncs60s90thPercentileLatencyMicros | The 90th percentile of sync latency in microseconds (1 minute granularity) |
| Syncs60s95thPercentileLatencyMicros | The 95th percentile of sync latency in microseconds (1 minute granularity) |
| Syncs60s99thPercentileLatencyMicros | The 99th percentile of sync latency in microseconds (1 minute granularity) |
| Syncs300sNumOps | Number of sync operations (5 minutes granularity) |
| Syncs300s50thPercentileLatencyMicros | The 50th percentile of sync latency in microseconds (5 minutes granularity) |
| Syncs300s75thPercentileLatencyMicros | The 75th percentile of sync latency in microseconds (5 minutes granularity) |
| Syncs300s90thPercentileLatencyMicros | The 90th percentile of sync latency in microseconds (5 minutes granularity) |
| Syncs300s95thPercentileLatencyMicros | The 95th percentile of sync latency in microseconds (5 minutes granularity) |
| Syncs300s99thPercentileLatencyMicros | The 99th percentile of sync latency in microseconds (5 minutes granularity) |
| Syncs3600sNumOps | Number of sync operations (1 hour granularity) |
| Syncs3600s50thPercentileLatencyMicros | The 50th percentile of sync latency in microseconds (1 hour granularity) |
| Syncs3600s75thPercentileLatencyMicros | The 75th percentile of sync latency in microseconds (1 hour granularity) |
| Syncs3600s90thPercentileLatencyMicros | The 90th percentile of sync latency in microseconds (1 hour granularity) |
| Syncs3600s95thPercentileLatencyMicros | The 95th percentile of sync latency in microseconds (1 hour granularity) |
| Syncs3600s99thPercentileLatencyMicros | The 99th percentile of sync latency in microseconds (1 hour granularity) |
| BatchesWritten | Total number of batches written since startup |
| TxnsWritten | Total number of transactions written since startup |
| BytesWritten | Total number of bytes written since startup |
| BatchesWrittenWhileLagging | Total number of batches written where this node was lagging |
| LastWriterEpoch | Current writer's epoch number |
| CurrentLagTxns | The number of transactions that this JournalNode is lagging |
| LastWrittenTxId | The highest transaction id stored on this JournalNode |
| LastPromisedEpoch | The last epoch number which this node has promised not to accept any lower epoch, or 0 if no promises have been made |
Each metrics record contains tags such as SessionId and Hostname as additional information along with metrics.
| Name | Description |
|---|---|
| BytesWritten | Total number of bytes written to DataNode |
| BytesRead | Total number of bytes read from DataNode |
| BlocksWritten | Total number of blocks written to DataNode |
| BlocksRead | Total number of blocks read from DataNode |
| BlocksReplicated | Total number of blocks replicated |
| BlocksRemoved | Total number of blocks removed |
| BlocksVerified | Total number of blocks verified |
| BlockVerificationFailures | Total number of verifications failures |
| BlocksCached | Total number of blocks cached |
| BlocksUncached | Total number of blocks uncached |
| ReadsFromLocalClient | Total number of read operations from local client |
| ReadsFromRemoteClient | Total number of read operations from remote client |
| WritesFromLocalClient | Total number of write operations from local client |
| WritesFromRemoteClient | Total number of write operations from remote client |
| BlocksGetLocalPathInfo | Total number of operations to get local path names of blocks |
| FsyncCount | Total number of fsync |
| VolumeFailures | Total number of volume failures occurred |
| ReadBlockOpNumOps | Total number of read operations |
| ReadBlockOpAvgTime | Average time of read operations in milliseconds |
| WriteBlockOpNumOps | Total number of write operations |
| WriteBlockOpAvgTime | Average time of write operations in milliseconds |
| BlockChecksumOpNumOps | Total number of blockChecksum operations |
| BlockChecksumOpAvgTime | Average time of blockChecksum operations in milliseconds |
| CopyBlockOpNumOps | Total number of block copy operations |
| CopyBlockOpAvgTime | Average time of block copy operations in milliseconds |
| ReplaceBlockOpNumOps | Total number of block replace operations |
| ReplaceBlockOpAvgTime | Average time of block replace operations in milliseconds |
| HeartbeatsNumOps | Total number of heartbeats |
| HeartbeatsAvgTime | Average heartbeat time in milliseconds |
| BlockReportsNumOps | Total number of block report operations |
| BlockReportsAvgTime | Average time of block report operations in milliseconds |
| CacheReportsNumOps | Total number of cache report operations |
| CacheReportsAvgTime | Average time of cache report operations in milliseconds |
| PacketAckRoundTripTimeNanosNumOps | Total number of ack round trip |
| PacketAckRoundTripTimeNanosAvgTime | Average time from ack send to receive minus the downstream ack time in nanoseconds |
| FlushNanosNumOps | Total number of flushes |
| FlushNanosAvgTime | Average flush time in nanoseconds |
| FsyncNanosNumOps | Total number of fsync |
| FsyncNanosAvgTime | Average fsync time in nanoseconds |
| SendDataPacketBlockedOnNetworkNanosNumOps | Total number of sending packets |
| SendDataPacketBlockedOnNetworkNanosAvgTime | Average waiting time of sending packets in nanoseconds |
| SendDataPacketTransferNanosNumOps | Total number of sending packets |
| SendDataPacketTransferNanosAvgTime | Average transfer time of sending packets in nanoseconds |
UgiMetrics is related to user and group information. Each metrics record contains Hostname tag as additional information along with metrics.
| Name | Description |
|---|---|
| LoginSuccessNumOps | Total number of successful kerberos logins |
| LoginSuccessAvgTime | Average time for successful kerberos logins in milliseconds |
| LoginFailureNumOps | Total number of failed kerberos logins |
| LoginFailureAvgTime | Average time for failed kerberos logins in milliseconds |
| getGroupsNumOps | Total number of group resolutions |
| getGroupsAvgTime | Average time for group resolution in milliseconds |
| getGroupsnumsNumOps | Total number of group resolutions (num seconds granularity). num is specified by hadoop.user.group.metrics.percentiles.intervals. |
| getGroupsnums50thPercentileLatency | Shows the 50th percentile of group resolution time in milliseconds (num seconds granularity). num is specified by hadoop.user.group.metrics.percentiles.intervals. |
| getGroupsnums75thPercentileLatency | Shows the 75th percentile of group resolution time in milliseconds (num seconds granularity). num is specified by hadoop.user.group.metrics.percentiles.intervals. |
| getGroupsnums90thPercentileLatency | Shows the 90th percentile of group resolution time in milliseconds (num seconds granularity). num is specified by hadoop.user.group.metrics.percentiles.intervals. |
| getGroupsnums95thPercentileLatency | Shows the 95th percentile of group resolution time in milliseconds (num seconds granularity). num is specified by hadoop.user.group.metrics.percentiles.intervals. |
| getGroupsnums99thPercentileLatency | Shows the 99th percentile of group resolution time in milliseconds (num seconds granularity). num is specified by hadoop.user.group.metrics.percentiles.intervals. |
MetricsSystem shows the statistics for metrics snapshots and publishes. Each metrics record contains Hostname tag as additional information along with metrics.
| Name | Description |
|---|---|
| NumActiveSources | Current number of active metrics sources |
| NumAllSources | Total number of metrics sources |
| NumActiveSinks | Current number of active sinks |
| NumAllSinks | Total number of sinks (BUT usually less than NumActiveSinks, see HADOOP-9946) |
| SnapshotNumOps | Total number of operations to snapshot statistics from a metrics source |
| SnapshotAvgTime | Average time in milliseconds to snapshot statistics from a metrics source |
| PublishNumOps | Total number of operations to publish statistics to a sink |
| PublishAvgTime | Average time in milliseconds to publish statistics to a sink |
| DroppedPubAll | Total number of dropped publishes |
| Sink_instanceNumOps | Total number of sink operations for the instance |
| Sink_instanceAvgTime | Average time in milliseconds of sink operations for the instance |
| Sink_instanceDropped | Total number of dropped sink operations for the instance |
| Sink_instanceQsize | Current queue length of sink operations (BUT always set to 0 because nothing to increment this metrics, see HADOOP-9941) |
StartupProgress metrics shows the statistics of NameNode startup. Four metrics are exposed for each startup phase based on its name. The startup phases are LoadingFsImage, LoadingEdits, SavingCheckpoint, and SafeMode. Each metrics record contains Hostname tag as additional information along with metrics.
| Name | Description |
|---|---|
| ElapsedTime | Total elapsed time in milliseconds |
| PercentComplete | Current rate completed in NameNode startup progress (The max value is not 100 but 1.0) |
| phaseCount | Total number of steps completed in the phase |
| phaseElapsedTime | Total elapsed time in the phase in milliseconds |
| phaseTotal | Total number of steps in the phase |
| phasePercentComplete | Current rate completed in the phase (The max value is not 100 but 1.0) |


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Reference : https://www.chabad.jp/templates/articlecco_cdo/aid/512187/jewish/Fish-list.htm AND https://en.wikipedia.org/wiki/


My First Website
Welcome to mywebsite! Here are some things i enjoy.
Chess
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Here is favourite quote of mine
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{%load static%}
Moving to another country is a real challenge. And one of the challenges is choosing a right place to live. As for me, some time ago I was moving to Milan, Italy.
That city is a vibrant multicultural megapolis with all its pros and cons. Therefore I have to choose an optimal place for living (an apartment to rent). I have identified several parameters for choosing one:
proximity to employers: I will look for existing offers, find locations of the companies and calculate median location. Then I assessed the distance between each apartment and the median location,
remoteness from disadvantaged areas. I found locations of disadvantaged areas (based on reviews in the internet) and then calculate distance to the closest disadvantaged are for each apartment.
vegetation concentration. I calculated the amount of green areas per sq.km for each of 9 zones (districts) in Milan and then define in what zones apartments are located.
air quality. I used information on air pollution for the last year and define mean scaled concentration of harmful substances and dust particles which monitoring stations provide.
Then I built a regression model that would predict that value based on location in the city. I will find existing offers and define their location. Then for each of the apartments I will assess the parameters above
Based on those parameters I calculate the total score based on their weighted sum. Weight of each parameter can be based on priorities of a user (I used all equal).
Then each apartment is assigned this score which helps to choose the best one.
Here's a map with results for {{given_jobName}} in Milano
Vegetation concentration: Amount of green per square meter in each zone of Milan. [Source 1] [Source 2]
Companies: Headquarters of the companies which offer the job and corresponding links to job description. Source: [Source]
Optimal locations based on companies: Mean and median points for a found set of companies. The closer an accommodation to median point, the higher score it gets
Districts: Borders of administrative zones.
Environmental monitoring stations: Locations of monitoring stations.
Air Contamination Heatmap: Predicted scaled concentrations based on values obtained from monitoring stations. Linear regression with 3-degree polynomial features is used.
Accommodations for rent (apartments): Apartments found at immobiliare.it for a given price range. Each item is scored according to given importances.
Dangerous Zones: Dangerous zones which are better to avoid according to several sources: [1], [2]
Predicted Total Score: A score predicted by Random Forest Regressor based on scores obtained for Accomodations. Blue is better, red is worse.


nCUnit is a unit testing framework similar to JUnit for TinyOS-based sensor network components that have been developed with the nesC programming language. It is available from the TinyOS SourceForge repository in the tinyos-1.x/contrib/ustutt/ncunit directory. It uses the Avrora simulator to execute test code.
Before you can use nCUnit, make sure you have the following software properly installed:
Then you have to set the following environment variables. Note that even if you are using Windows all path names have to be specified in Unix style (e.g., "/opt/tinyos-1.x/contrib/ustutt/nCUnit").
Go into $NCUNIT_ROOT and type "make". This command compiles the Java files (including patches and modifications to Avrora and nesC files) and installs the new platform mica2test in your TinyOS directory. Therefore, you have to use TinyOS's "new make system".
nCUnit
has to make
some modifications
to the code created by nesC by changing the call of the
compiler. Whenever you want
to compile a file for use with nCUnit, you have to use its new platform
"mica2test" by calling "make mica2test". Currently, nCUnit just
supports this Mica2-based platform.
In order to test a
component you
have to create a separate component which contains the test functions
(see $NCUNIT_ROOT/example/TestAssertM.nc). These functions have to be
tagged with the "@test()" attribute, which is defined in "ncunit.h".
You do not have to call these functions yourself; nCUnit creates calls to them automatically. In addition, it ensures that for each such function a separate simulation run is executed. Therefore, in each run the application is in a consistent state even if a previous test case has failed. As in a normal application you can use the StdControl interface to setup the application before each test case.
To check whether or not a test case has failed you can use the Assert interface provided by AssertC. Such asserts can not only check if a simple condition is fulfilled but you can also perform more advanced checks using the simulator. For example, you can specify a Java class implementing the interface "ncunit.avrora.NCAssert" that can check the simulation state (e.g., check hardware properties that are unavailable on the sensor node itself). The class "example.TestJavaAssert" shows an example of how to use this functionality. In addition, you can add an assertion to see if the component under test calls a specific function with a given parameter value. Please note that nCUnit does not check which function called the monitored function. Therefore, it could have been called indirectly or by another, unrelated component. Finally, you can use a function to modify or inspect the value of variables in the component under test.
You can find a complete example in $NCUNIT_ROOT/example/TestAssertM.nc and more information about the types of assertions available in the comments of $NCUNIT_ROOT/mote/Assert.nc.
Finally, insert the following lines into the make file of your test application:
After having compiled your test application with "make mica2test", call "./build/ncunit/start_tests" which runs all test cases. At the end of the simulation you get a summary of the success. If you need more information about a specific test case, you can look up its log file mentioned in the summary.
$ ./build/ncunit/start_testsBesides the functionality of a unit testing framework nCUnit adds the ability to output arbitrary debug strings just like with TOSSIM. The only thing you have to do is call the function "debug" with the type of output (e.g., "DBG_USR1") and the output itself:
This output string will then appear in the log file if the appropriate output class has been enabled. By default all output classes are enabled. If you want to output floating point numbers, the make file has to specify the following compiler flags:
Please see the documentation of avr-libc for more details.
If you want to use such debug output in your own application without using nCUnit, you have to include the directory $NCUNIT_ROOT/mote in your make file and add to Avrora's command line the monitor class "ncunit.avrora.DebugOutputMonitor". With its parameter "-debug-levels" you can specify a list of the debug classes that you want to enable. Note that such output can have significant overhead on the sensor node for string processing, even if the corresponding output class has been disabled. In addition, it increases the size both in program memory and in RAM significantly. Therefore, this mechanism is only a tool to facilitate debugging. Before installing an application on a sensor node, all calls to the debug functions should be removed.
nCUnit uses a pre-compiler that inserts calls to the test case functions, which are tagged with the "@test()" attribute. By modifying a constant in the compiled code, one of the test functions is selected for each simulation run. In addition, by running its own processor betwen the nesC and the avr-gcc compilers, it modifies the declaration of functions that are monitored using the "assertCalls" assertion. Then these functions are no longer inlined to allow for easier detection when they are called. This is the reason for the use of the separate testing platform "mica2test".
At runtime nCUnit passes information to the simulator using Avrora's probing interface. Whenever one of nCUnit's functions is called, a probe fires an event in Avrora. As the nCUnit's functions receive all information as parameter values in the processor's registers (see the avr-libc documentation), nCUnit's Avrora monitor can easily read this data from the processor.
If you have any questions about nCUnit, please contact<EMAIL_ADDRESS>nCUnit has been released under an adapted BSD license. Note that some files included in its directory, which are modified versions from TinyOS, nesC, or Avrora files, might have differing but in my opinion similar licenses. By downloading nCUnit you accept the terms of this license:
Copyright (c) 2007, Institute of Parallel
and Distributed Systems (IPVS), Universitšt Stuttgart.
All
rights reserved.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED.


The rule will not attempt to identify very unusual session management methods - automation is one of the end goals so false negatives (missing unusual session management methods) are more desirable than false positives (incorrectly identifying a session management method).
If this rule identifies a session management method that is part of the context that you have set to use the
Auto-Detect Session Management Method then this rule will update the context to use the session management method identified.
If a session management method is not identified then check to make sure it is made to a site which is included in the context.
If it is not then add the site to the context and authenticate again via your browser.
The 'Other Info' field is used to report the set of Header Based Session Management tokens that need to be specified.
The rule will currently identify:
Latest code: SessionDetectionScanRule.java


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---
layout: page
title: "Seasons of Code"
teaser: "The Web and Coding Club"
header:
image_fullwidth: "header-bus.jpg"
---
Seasons of Code is a programme launched by the WnCC, along the lines of GSoC without much greenery though. The incentive is similar to ITSP, based on the current form of it, the fundamental difference is that one can choose from the ideas offered by mentors who are senior undergrads, doctorate students or professors, and in some exceptional cases, startups. We plan to have a really long timeframe though, until the next winter extending this programme into a mentorship of sorts into the semester. It is not just about development by the way. We have some mentors ready to take up programmes regarding competitive coding and scientific computation too.
Check out the projects of the different editions of Seasons of Code:


TarsqiComponent
Base class for Tarsqi components implemented in Python.
Inherits from: object Abstract class for the python components.
Public Functions
pp_doctree(self, componentName)Print the document tree. Assumes there is a doctree instance variable that contains a TarsqiTree object.process(self, infile, outfile)Ask the component to process a file fragment. This is the method that is called from the component wrappers and it should be overwritten on all subclasses. An error is written to the log file if this method is ever executed.


I am a software Developer. I am the entrepreneur head at Google DSC RAIT. I love coffee
Contributed to repositories and successfully completed the Hacktoberfest challenge 2020 organized by Digital Ocean.
I can show off my skill badges issued by Google under Cloud engineering track
Developed applications in flutter.
We can build beautiful websites together!
We can do coding as well as movie marathons together!


Logical operators are mainly used to control program flow. Usually, you will find them as part of an if, a while, or some other control statement
The Logical operators are:
The concept of logical operators is simple. They allow a program to make a decision based on multiple conditions. Each operand is considered a condition that can be evaluated to a true or false value. Then the value of the conditions is used to determine the overall value of the op1 operator op2 or !op1 grouping.


2 People Were Killed and 25 Were Injured throughout the Country Just for the Last 24 Hours
Two were killed and 25 were injured in the 22 accidents that occurred in the country last night. This was reported by the Ministry of Interior.
One severe and 38 minor accidents have been reported in Sofia. One person is injured in a road accident in the capital.
Since the beginning of the month, there have been 518 crashes in the country. 49 people were killed and 631 were injured, according to the Ministry of the Interior.


| Interface | Description |
|---|---|
| Catalog | |
| CatalogItem | |
| Org |
A vCloud organization is a high-level abstraction that provides a unit of administration for
objects and resources.
|
| ReferenceType |
Many container elements are populated with references to contained objects.
|
| Task |
Whenever the result of a request cannot be returned immediately, the server creates a Task
object.
|
| TasksList | |
| VApp |
A VApp is the result of instantiation of a
VAppTemplate . |
| VAppTemplate |
A VAppTemplate is an abstract description of a vApp.
|
| VCloudError | |
| VCloudSession | |
| VDC |
A vDC is a deployment environment for vApps.
|
| Vm |
A Vm represents a virtual machine, a member of a vApp’s Children container.
|
| Class | Description |
|---|---|
| Capacity |
reports storage resource consumption in a vDC.
|
| GuestCustomizationSection |
The GuestCustomization of a Vm contains customization parameters for the guest operating system
of the virtual machine.
|
| InstantiateVAppTemplateParams |
The InstantiateVAppTemplateParams element forms the body of an instantiateVappTemplate request.
|
| NetworkConnection |
describes a single network connection.
|
| NetworkConnection.Builder | |
| NetworkConnectionSection |
The NetworkConnectionSection element specifies how a Vm is connected to a vApp network.
|
| NetworkConnectionSection.Builder |
| Enum | Description |
|---|---|
| AllocationModel |
The AllocationModel element defines how resources are allocated in a vDC.
|
| Status |
Objects such as vAppTemplate, vApp, and Vm have a status attribute whose value indicates the
state of the object.
|
| TaskStatus | |
| VCloudError.MinorCode | |
| VDCStatus |
The creation status of the vDC
|
Copyright © 2009-2013 The Apache Software Foundation. All Rights Reserved.


This tool generates custom CSS style files for giving your forms a customized appearance. Save them in the folder that contains your formDef.json.
formDef.json


Training in Dallas, TX!
Jesse MaFadyen
Fil Maj
Open for discussion: let us know what you guys want to learn about!
Time |
Topic |
| 9:00-9:30 | Intro, schedule, overview, tools, links |
| 9:30-10:30 | PhoneGap Overview |
| 10:30-10:45 | Break |
| 10:45-11:45 | Developing with PhoneGap on iPhone |
| 11:45-Noon | Q&A, hands-on help, discussion |
| Noon-1:00 | Lunch |
| 1:00-2:00 | Developing with PhoneGap on BlackBerry |
| 2:00-3:00 | PhoneGap best practices |
| 3:00-5:00 | Hands-on help, demos, discussion, Q&A, whatever you guys want! |
We are here to help you guys, so let us know if you have specific things in mind for us to show you!


Welcome to the Safe Technology eXchange or STX.
We have created a better and safer way to trade technology for college students.
We promise to make sure you are always meeting your respective buy/seller in a safe place and that there is a reduced risk of scamming.


Privacy notice
{% blocktrans %}
We use your email address or Facebook contact information in order to contact you about reunion updates.
Unless otherwise stated, information you provide will be shared only with the reunion committee.
{% endblocktrans %}


--- layout: post title: "Beware of breaking changes to ModelBindingContext in MVC2 Preview 2" postId: 226 ---
ASP.NET MVC2 Preview 2 was released earlier today. One thing to be aware of is the breaking changes to the ModelBindingContext.
 However, they are not marked with the obsolete attribute so you will not get a compiler warning if you are using them - you will only get an exception at runtime.


|
| subroutine | pgrid2dclass::construct_pgrid2d (this, comm, nrow, ncol) |
| | set up 2-D Cartisian grid. More...
|
| |
| subroutine | pgrid2dclass::getcomm_pgrid2d (this, comm2d, commcol, commrow) |
| | get 2D, column, and row communicators. More...
|
| |
| subroutine | pgrid2dclass::getpost_pgrid2d (this, mypos, mycolpos, myrowpos) |
| | get my rank position in 2d, column, and row communicators. More...
|
| |
| subroutine | pgrid2dclass::getsize_pgrid2d (this, totsize, colsize, rowsize) |
| | get the total number of PEs, PEs in column and row communicators. More...
|
| |


This web page contains two audio files and a video file using the audio, video, and embed elements in HTML5.
you wont hear anything if you don't have a sound card installed or speakers connected to your computer.
This is an example of how to use the embed
element in HTML5 document:


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Why make do with so-so network solutions, when you can make an impact with us. We challenge conventions of network normality to deliver connectivity that’s better, simpler and more enjoyable to use.
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25th November 2021
Where are you on the journey to safe remote work, really?
25th November 2021
Where are you on the journey to safe remote work, really?
25th November 2021
Where are you on the journey to safe remote work, really?
Get in touch and we’ll put you in touch with one of registered suppliers.


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Gatekeeper Flauen:
I heard the rumor that you had surrendered yourself to the winds of change. I pray you made the right decision...
(You have already completed this quest.)