Voice of the Mirror: Labour's manifesto offers bold plan to transform Britain
Labour is determined to help those on low incomes unlike Boris Johnson and is prepared to stand up to hedge fund bosses, polluters and billionaires
by Voice of the Mirror, https://www.mirror.co.uk/authors/voice-of-the-mirror/Desperate times call for bold measures and Labour’s manifesto is offering that.
This is an agenda that responds to the challenges facing a country ravaged by austerity and hard-wired with inequality.
Labour knows that rebuilding and transforming Britain into a fairer, more prosperous nation cannot be done through half measures.
That is why they are prepared to stand up to hedge fund bosses, polluters and billionaires and stand with those who want a decent job, an affordable home and a clean environment.
While Boris Johnson is taking millions of pounds from the tycoons in tax havens, Labour is determined to help those on low incomes.
Nurses, teachers, council staff and police officers will get a much-deserved pay rise.
This is a manifesto that seeks not just to repair the damage of Tory rule but lay the foundations for a better future.
Nobody denies this will cost money but the burden will fall on the wealthy and big business. This a revolutionary new deal by a party which is ambitious for our country.
Still punished
The family of murder victim Helen McCourt have already suffered enough.
They have undergone the agony of losing a loved one and they have endured the trauma of her killer, Ian Simms, refusing to say where her body is buried.
Now they have suffered a third time after Simms was released from prison just a few months before a new law comes into force that bars murderers from being freed if they refuse to divulge the location of their victim’s remains.
There is something wrong with our justice system when Helen’s family are still being punished but a killer can walk free in this way.
Please sign up
If you do one thing today check you are registered to vote on December 12.
If you are registered make sure your friends and family are signed up before the November 26 deadline too. The result of next month’s general election could depend on it.


|
pico]OS
1.0.4
|
Functions | |
| POSEXTERN void POSCALL | posTaskYield (void) |
| POSEXTERN void POSCALL | posTaskSleep (UINT_t ticks) |
| POSEXTERN POSTASK_t POSCALL | posTaskCreate (POSTASKFUNC_t funcptr, void *funcarg, VAR_t priority, void *stackstart) |
| POSEXTERN void POSCALL | posInit (POSTASKFUNC_t firstfunc, void *funcarg, VAR_t priority, void *stackFirstTask, void *stackIdleTask) |
| POSEXTERN POSTASK_t POSCALL | posTaskCreate (POSTASKFUNC_t funcptr, void *funcarg, VAR_t priority, UINT_t stacksize) |
| POSEXTERN void POSCALL | posInit (POSTASKFUNC_t firstfunc, void *funcarg, VAR_t priority, UINT_t taskStackSize, UINT_t idleStackSize) |
| POSEXTERN POSTASK_t POSCALL | posTaskCreate (POSTASKFUNC_t funcptr, void *funcarg, VAR_t priority) |
| POSEXTERN void POSCALL | posInit (POSTASKFUNC_t firstfunc, void *funcarg, VAR_t priority) |
| POSEXTERN void POSCALL | posTaskExit (void) |
| POSEXTERN POSTASK_t POSCALL | posTaskGetCurrent (void) |
| POSEXTERN VAR_t POSCALL | posTaskUnused (POSTASK_t taskhandle) |
| POSEXTERN VAR_t POSCALL | posTaskSetPriority (POSTASK_t taskhandle, VAR_t priority) |
| POSEXTERN VAR_t POSCALL | posTaskGetPriority (POSTASK_t taskhandle) |
| POSEXTERN void POSCALL | posTaskSchedLock (void) |
| POSEXTERN void POSCALL | posTaskSchedUnlock (void) |
| POSEXTERN void *POSCALL | posTaskGetUserspace (void) |
| POSEXTERN POSIDLEFUNC_t POSCALL | posInstallIdleTaskHook (POSIDLEFUNC_t idlefunc) |
| POSEXTERN void POSCALL posInit | ( | POSTASKFUNC_t | firstfunc, |
| void * | funcarg, | ||
| VAR_t | priority, | ||
| void * | stackFirstTask, | ||
| void * | stackIdleTask | ||
| ) |
Operating System Initialization. This function initializes the operating system and starts the first tasks: The idle task and the first user task.
| firstfunc | pointer to the first task function that will run in the multitasking environment. |
| funcarg | optional argument passed to the first task. |
| priority | task priority. Must be in the range 0 .. POSCFG_MAX_PRIO_LEVEL - 1. The higher the number, the higher the priority. |
| stackFirstTask | pointer to the stack memory for the first task. |
| stackIdleTask | pointer to the stack memory for the idle task. |
| POSEXTERN void POSCALL posInit | ( | POSTASKFUNC_t | firstfunc, |
| void * | funcarg, | ||
| VAR_t | priority, | ||
| UINT_t | taskStackSize, | ||
| UINT_t | idleStackSize | ||
| ) |
Operating System Initialization. This function initializes the operating system and starts the first tasks: The idle task and the first user task.
| firstfunc | pointer to the first task function that will run in the multitasking environment. |
| funcarg | optional argument passed to the first task. |
| priority | task priority. Must be in the range 0 .. POSCFG_MAX_PRIO_LEVEL - 1. The higher the number, the higher the priority. |
| taskStackSize | size of the stack memory for the first task. |
| idleStackSize | size of the stack memory for the idle task. |
| POSEXTERN void POSCALL posInit | ( | POSTASKFUNC_t | firstfunc, |
| void * | funcarg, | ||
| VAR_t | priority | ||
| ) |
Operating System Initialization. This function initializes the operating system and starts the first tasks: The idle task and the first user task.
| firstfunc | pointer to the first task function that will run in the multitasking environment. |
| funcarg | optional argument passed to the first task. |
| priority | task priority. Must be in the range 0 .. POSCFG_MAX_PRIO_LEVEL - 1. The higher the number, the higher the priority. |
| POSEXTERN POSIDLEFUNC_t POSCALL posInstallIdleTaskHook | ( | POSIDLEFUNC_t | idlefunc | ) |
Task function. Install or remove an optional idle task hook function. The hook function is called every time the system is idle. It is possible to use this hook to implement your own idle task; in this case the function does not need to return to the system. You may insert a call to posTaskYield into your idle task loop to get a better task performance.
| idlefunc | function pointer to the new idle task handler. If this parameter is set to NULL, the idle task function hook is removed again. |
| POSEXTERN POSTASK_t POSCALL posTaskCreate | ( | POSTASKFUNC_t | funcptr, |
| void * | funcarg, | ||
| VAR_t | priority, | ||
| void * | stackstart | ||
| ) |
Task function. Creates a new task. The stack memory is managed by the user.
| funcptr | pointer to the function that shall be executed by the new task. |
| funcarg | optional argument passed to function. |
| priority | task priority. Must be in the range 0 .. POSCFG_MAX_PRIO_LEVEL - 1. The higher the number, the higher the priority. |
| stackstart | pointer to the stack memory for the new task. |
| POSEXTERN POSTASK_t POSCALL posTaskCreate | ( | POSTASKFUNC_t | funcptr, |
| void * | funcarg, | ||
| VAR_t | priority, | ||
| UINT_t | stacksize | ||
| ) |
Task function. Creates a new task. The stack memory is managed by the achitecture specific portion of the operating system, the size can be set by the user.
| funcptr | pointer to the function that shall be executed by the new task. |
| funcarg | optional argument passed to function. |
| priority | task priority. Must be in the range 0 .. POSCFG_MAX_PRIO_LEVEL - 1. The higher the number, the higher the priority. |
| stacksize | size of the stack memory. This parameter is passed to the architecture specific portion of the operating system. |
| POSEXTERN POSTASK_t POSCALL posTaskCreate | ( | POSTASKFUNC_t | funcptr, |
| void * | funcarg, | ||
| VAR_t | priority | ||
| ) |
Task function. Creates a new task. The stack memory is fixed, its size is set by the architecture specific portion of the operating system.
| funcptr | pointer to the function that shall be executed by the new task. |
| funcarg | optional argument passed to function. |
| priority | task priority. Must be in the range 0.. POSCFG_MAX_PRIO_LEVEL - 1. The higher the number, the higher the priority. |
| POSEXTERN void POSCALL posTaskExit | ( | void | ) |
Task function. Terminate execution of a task.
| POSEXTERN POSTASK_t POSCALL posTaskGetCurrent | ( | void | ) |
Task function. Get the handle to the currently running task.
Task function. Get the priority of a task.
| taskhandle | handle to the task. |
| POSEXTERN void* POSCALL posTaskGetUserspace | ( | void | ) |
Task function. Returns a pointer to the user memory in the current task control block.
| POSEXTERN void POSCALL posTaskSchedLock | ( | void | ) |
Task function. Locks the scheduler. When this function is called, no task switches will be done any more, until the counterpart function posTaskSchedUnlock is called. This function is usefull for short critical sections that require exclusive access to variables. Note that interrupts still remain enabled.
| POSEXTERN void POSCALL posTaskSchedUnlock | ( | void | ) |
Task function. Unlocks the scheduler. This function is called to leave a critical section. If a context switch request is pending, the context switch will happen directly after calling this function.
Task function. Change the priority of a task. Note that in a non-roundrobin scheduling environment every priority level can only exist once.
| taskhandle | handle to the task. |
| priority | new priority. Must be in the range 0 .. POSCFG_MAX_PRIO_LEVEL - 1. The higher the number, the higher the priority. |
| POSEXTERN void POSCALL posTaskSleep | ( | UINT_t | ticks | ) |
Task function. Delay task execution for a couple of timer ticks.
Task function. Tests if a task is yet in use by the operating system. This function can be used to test if a task has been fully terminated (and the stack memory is no more in use).
| taskhandle | handle to the task. |
| POSEXTERN void POSCALL posTaskYield | ( | void | ) |
Task function. This function can be called to give off processing time so other tasks ready to run will be scheduled (= cooparative multitasking).


Experiment with plt5.m
The easiest way to start learning about plt is to
start the sample script plt5.m. Just type plt5 at the command prompt. This
simple script plots five traces. Note that he last trace (Line 5) is plotted on
the right hand axis. Experiment by trying the following:
- Click on all the objects in the plt window including the trace IDs.
- Try that again with the right mouse button (which usually does something different).
- Click and drag on the x and y axes tick labels (again ... try both left and right buttons)
- Left or right click and drag in the plot area. (On and off the traces do different things).
- Hold down both mouse buttons in the plot area and drag (creates an expansion box).
Expand on what you have learned playing with plt5 by:
- Using plt with some data you are currently working with. Type
plt(x,y) just as you would with Matlab's plot routine.
- Use the plt workspace plotter by
typing plt with no arguments. Then you can
interactively select the variables you wish to plot.
- Run the other programming examples.
(demoplt.m sequences through all the examples.)
- Explore the topics in "Using the plt window" from the plt help
home page.


Part 1 points: 200 (Q1: 80; Q2: 40; Q3: 80)
Make sure to check this section reqularly for more instuctions about the assignment.
Review the lecture notes about Java Generics and Iterators.
In this assignment we will use the following implemetation of a generic class of nodes of the Doubly Linked List in Part 1:
/** * Class DoublyLinkedList: implements a *generic* Doubly Linked List. * @param <T> This is a type parameter. T is used as a class name in the * definition of this class. * * When creating a new DoublyLinkedList, T should be instantiated with an * actual class name that extends the class Comparable. * Such classes include String and Integer. * * For example to create a new DoublyLinkedList class containing String data: * DoublyLinkedList<String> myStringList = new DoublyLinkedList<String>(); * * The class implements the Iterable<T> interface, allowing to use iterators * over the data stored in the doubly-linked list. This is already implemented. * * The class offers a toString() method which returns a comma-separated sting of * all elements in the data structure. * * This is a bare minimum class you would need to completely implement. * You can add additional methods to support your code. Each method will need * to be tested by your jUnit tests -- for simplicity in jUnit testing * introduce only public methods. */ class DoublyLinkedList<T extends Comparable<T>> implements Iterable<T>
The above definition has a peculiarity: the parameter of the DLLNode
is T extends Comparable<T>
, which is called a bounded type parameter. This tells the java compiler that we only want to instantiate the DLLNode
class with a parameter class that implements the Comparable
interface. Because the comparable interface is itself generic, we have to specify that the classes we want to allow in the place of T
here are those whose objects can be compared with other objects of the same class; i.e., we want a class T
containing a method int compareTo(T o)
.
A doubly linked list is a data structure maintaining a sequence of data elements, similar to a linked list data structure. The difference here is that from each data elements in the sequence we can move to the previous and next element with a Θ(1) operation. This is achieved by maintaining for each data element two references: one to the previous element and one to the next one (the prev and next fields of the DLLNode class). Doubly linked lists have been discussed in the lectures.
Here you need to implement the methods in DoublyLinkedList.java. This class stores a doubly linked list of DLLNode
objects.
/** * private class DLLNode: implements a *generic* Doubly Linked List node. */ private class DLLNode { public final T data; public DLLNode next; public DLLNode prev; /** * Constructor * @param theData : data of type T, to be stored in the node * @param prevNode : the previous Node in the Doubly Linked List * @param nextNode : the next Node in the Doubly Linked List * @return DLLNode */ public DLLNode( T theData, DLLNode prevNode, DLLNode nextNode ) { data = theData; prev = prevNode; next = nextNode; } }
Each DLLNode object has three fields, a data
field of type T, a reference (prev
) to the previous node in the list and a reference (next
) to the next node in the list. The data
field is final
, meaning that once set by the constructor it should never change.
The DoublyLinkedList class and has two important fields:
private DLLNode head, tail;
The first (head
) is a reference to the first element of the list and the other (tail
)
is a reference to the last element of the list. These fields are
initialised to null when an object of the class is constructed.
If the list is empty then both head
and tail
are null. If the list is non-empty then both head
and tail
are not null. There is no situation where only one of these fields is null.
If the list contains one element then head
and tail
reference this same element.
All insert and delete operations need to properly update the head
and tail
fields. They also need to properly update the .prev
and .next
fields in the nodes of the list.
isEmpty()
: returns true if the list is empty and false otherwise.insertBefore(int pos, T data)
: inserts data before the
element in the i-th position in the list. The first element in the list
(head) is at position 0. If pos is less than 0 then add to the
head of the list. If pos is greater or equal to the size of the
list then add the element at the end of the list.get(int pos)
: returns the element at position pos
(the head is at position 0) if pos
is within the bounds of the list. If pos
is negative of too large it returns null.deleteAt(int pos)
: deletes element at position pos
in the list (the head is at position 0) if pos
is within the bounds of the list. It returns true if a deletion was performed.You will be graded for correctly implementing and adequately testing the above methods. Download the jUnit test file DoublyLinkedListTest.java and add more tests in it so that every method, line of code and if-then-else branching decision is tested at least once.
Implement the push
and a pop
methods in the class such that if only these two methods are called, an object of the class would behave like a stack.
Implement the enqueue
and dequeue
methods in the class such that if only these two methods are called, an object of the class would behave like a FIFO queue.
For each method in the file DoublyLinkedList.java add a comment at the beginning of the method stating the Theta asymptotic, worst-case running time of that method. Also in comments, justify this statement with a few sentences. Each basic operation may be assumed to take Theta(1) time to execute. Also, calls to Java methods may be assumed to take Theta(1) time. However, the execution of calls to methods you have implemented will take the time you have calculated for these methods. See the toString method already implemented in the file for an example.


| Employee ID | First Name | Last Name | Address | Postal Code | City | Province | Home Phone Number | Cell Phone Number | Position | Salary | |
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--- layout: post title: Frustation on JBoss date: 2009-02-12 21:41:07.000000000 +01:00 type: post published: true status: publish categories: - Reviews tags: - java - jboss meta: _edit_last: '2' _jetpack_related_posts_cache: a:0:{} author: login: admin email<EMAIL_ADDRESS>display_name: gerbrand first_name: Gerbrand last_name: van Dieijen ---
For some application I need a notion of 'shared state' within a cluster of computers within a network. The software will have to run on JBoss. Yesterday I had successfully setup a JGroups using the default configuration. Using a fine tutorial I had set up a shared state. JGroups provided a lot functionality so that I not have to work with sockets, multicast, discovery, etc. myself. However, transactions, 2 phase commits, serialization wasn’t standard functionality, which I needed too. I didn’t want to reinvent the wheel, so I decided to use JBoss Cache, which is built on top on JGroups.
I could successfully instantiate a cache, using the default factory class. However, a more proper way would be to have JBoss instantiate and manage the cache, since the application has to run on top of JBoss.
In the JBoss Cache documentation I’ve found the following entry:
CacheFactory factory = new DefaultCacheFactory(); // Build but don't start the cache // (although it would work OK if we started it) Cache cache = factory.createCache("cache-configuration.xml"); MBeanServer server = getMBeanServer(); // however you do it ObjectName on = new ObjectName("jboss.cache:service=Cache"); JmxRegistrationManager jmxManager = new JmxRegistrationManager(server, cache, on); jmxManager.registerAllMBeans(); ... use the cache ... on application shutdown jmxManager.unregisterAllMBeans(); cache.stop();
Sounds great doesn’t it? Well, first of all, it’s an awful lot of code just to get access to the cache. Secondly, there’s a reference to a configuration file you first have to place somewhere, and thirdly there’s the line that’s commented with:
// however you do it
Arg! Why can’t those people of JBoss just explain *how* I have to do that. You might say, a clustered cache is complicated stuff. Transactions, commits over network, multi casts. That’s all pretty complicated.  I *hate* configuration. I *hate* xml. I just want working stuff.
O well, most closed source software isn’t much better, if not much worse. Probably what the people behind JBoss wants users to do, is buy a support contract. Still a lot less expensive than software like Weblogic or Websphere.


After the introduction of Google’s TensorFlow.js, it has become a lot easier to make use of browser (client-side) to do Deep learning. There are handy approaches (as discussed here) on deploying deep learning models using Keras and TensorFlow.js.
Note: To learn more about TensorFlow.js and its applications, kindly visit this link.
Why Music and ML?
Music generation has already began to catch the eyes of machine learning devs and there are numerous projects that are getting pushed in GitHub every week. Although there exist a barrier between AI Researchers and AI Developers such as complex mathematics that involve derivations and jargons, there is still hope for an AI enthusiast to use code and some music knowledge to create exciting applications that was a dream few years back.
Leveraging the capabilities of TensorFlow.js, we now have Google’s Magenta.js using which any developer with knowledge on javascript and music could create a music application that has intelligence built in to it.
I loved the concept behind Google’s Magenta team.
When a painter creates a work of art, she first blends and explores color options on an artist’s palette before applying them to the canvas. This process is a creative act in its own right and has a profound effect on the final work. Musicians and composers have mostly lacked a similar device for exploring and mixing musical ideas, but we are hoping to change that - Read more
Why browser for ML?
Although one might feel that browsers are light-weight apps that wont handle data intensive algorithms such as deep neural networks, by leveraging the capabilities of WebGL in browsers such as Google Chrome, we could create, train and deploy deep neural net models right in the browser itself without any server requests.
Another advantage of using browser to create AI applications is that you could easily send your creations to your friends or family using nothing more than a simple link (as given below)!
Using Magenta's Pre-trained Models
Magenta.js is a javascript library that is built on top of TensorFlow.js which provides music-oriented abstractions for developers. Google’s Magenta Team research, create and train deep learning models such as Long-Short Term Memory nets (LSTMs), Variational Auto-Encoders (VAE) etc., for music generation, and serve those models as pre-trained models for an AI enthusiast like me to use it for free.
By using a pre-trained magenta model, we could build creative music applications in the browser using deep learning. Some of the note-based music models that are provided by Magenta are MusicVAE, MelodyRNN, DrumsRNN and ImprovRNN. Using these pretrained models, we could use their magenta.js API to create cool music apps.
Note: The prerequisites for making an application using Magenta.js include knowledge on HTML, CSS and JavaScript.
Generating Drum Patterns using DrumsRNN
In this tutorial, I will show you how to create an intelligent music application that I call DeepDrum & DeepArp using javascript and Google’s magenta.js in the browser. First, we will focus on generating drum patterns using magenta’s drums_rnn. Similar approach is used to create arpeggio patterns using magenta’s improv_rnn.
The core algorithm behind these two models is the special type Recurrent Neural Network named Long-Short Term Memory network (LSTM). You can read more about the inner workings of an LSTM network in this excellent blog post by Christopher Olah.
How to generate drum patterns
Step 1: To include Magenta.js for your music application, you simply need to include the following script in your html head tag.
1
<script type="text/javascript" src="https://cdn.jsdelivr.net/npm/<EMAIL_ADDRESS>Step 2: A pretrained magenta model can easily be loaded into a javascript environment using the js-checkpoints (that magenta team has made publicly available) which automatically loads the model along with config files in a single line of code.
1
let drums_rnn = mm.MusicRNN("https://storage.googleapis.com/download.magenta.tensorflow.org/tfjs_checkpoints/music_rnn/drum_kit_rnn");
There is a tradeoff between model package size and accuracy as inference of a pre-trained model is happening live in the browser (client-side).
Step 3: Next, we need to initialize the model to make use of its methods and attributes.
1
drums_rnn.initialize();
Step 4: Our drum pattern generator will work like this - You provide some random input seed pattern first and the deep neural network (DrumsRNN) will generate (predict) the next sequence of patterns.
Based on General MIDI Level 1 Percussion Key Map, we restrict our focus to have 9 individual drumkit instrument (as given below) to play the sequence generated by DrumsRNN.
- kick
- snare
- hihat closed
- hihat open
- tom low
- tom mid
- tom high
- clap
- ride
Hence, we define an array named seed_pattern to hold the ON time step of each instrument (in an array) at every time step.
For example, I have initialized the seed_pattern as shown below. This means, for a seed_limit of 4 time steps, we assign the input pattern like this -
- kick should be ON at 1st and 3rd time step.
- snare shouldn’t be turned ON within seed_limit.
- hihat closed should be ON only at 3rd time step.
- and so on..
Notice we start first time step as 0 in code. Also notice, the position of each drumkit instrument in seed_pattern array. 0th position correspond to kick, 1st position correspond to snare and so on.
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var seed_pattern = [
[0, 2],
[],
[2],
[],
[2],
[],
[0, 2],
[],
[1, 2],
[]
];
With the input seed_pattern and seed_limit defined, we ask our drums_rnn to continue the sequence for us. Before doing that, we need to be aware of quantization of the input values as well as the generation limit player_length.
Step 5: To quantize the note sequence, we feed the input seed_pattern into a javascript object as shown below.
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let cur_seq = drum_to_note_sequence(seed_pattern);
//---------------------------------
// drum to note sequence formation
//---------------------------------
function drum_to_note_sequence(quantize_tensor) {
var notes_array = [];
var note_index = 0;
for (var i = 0; i < quantize_tensor.length; i++) {
var notes = quantize_tensor[i];
if(notes.length > 0) {
for (var j = 0; j < notes.length; j++) {
notes_array[note_index] = {};
notes_array[note_index]["pitch"] = midiDrums[notes[j]];
notes_array[note_index]["startTime"] = i * 0.5;
notes_array[note_index]["endTime"] = (i+1) * 0.5;
note_index = note_index + 1;
}
}
}
return mm.sequences.quantizeNoteSequence(
{
ticksPerQuarter: 220,
totalTime: quantize_tensor.length / 2,
timeSignatures: [
{
time: 0,
numerator: ts_num,
denominator: ts_den
}
],
tempos: [
{
time: 0,
qpm: tempo
}
],
notes: notes_array
},
1
);
}
The way I figured out what’s inside mm.sequences.quantizeNoteSequence is through the browser’s console and some help by looking at the code of few demos in Magenta’s website. Values like timeSignatures, tempos and totalTime need to be set according to one’s preferences. You could even assign these values dynamically.
The main thing you need to take care here is the conversion of our input seed_pattern into musical quantization format that Magenta accepts which includes defining each drumkit instrument’s pitch, startTime and endTime.
pitch of a drumkit note is the MIDI value of that note which could be obtained from this mapping. Remember we use the standard General MIDI Level 1 Percussion Key Map.
startTime and endTime are quantization values that defines the start and end time for a single note.
For example, for our first time step, kick will have the following values.
- pitch - 36
- startTime - 0
- endTime - 0.5
Step 6: Once you have encoded the input seed_pattern to Magenta’s quantization format, you can ask drums_rnn to continue the sequence as shown below.
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const player_length = 32;
const temperature_drum = 1;
predicted_sequence = await drums_rnn
.continueSequence(cur_seq, player_length, temperature_drum)
.then(r => seed_pattern.concat(note_to_drum_sequence(r, player_length)));
//---------------------------------
// note to drum sequence formation
//---------------------------------
function note_to_drum_sequence(seq, pLength) {
let res = [];
for (var i = 0; i < pLength; i++) {
empty_list = [];
res.push(empty_list);
}
for (let { pitch, quantizedStartStep } of seq.notes) {
res[quantizedStartStep].push(reverseMidiMapping.get(pitch));
}
return res;
}
First, we use continueSequence() function of drums_rnn to predict the next sequence values for all our drumkit instruments and store it in a variable named predicted_sequence.
These predictions will be based on the same old magenta’s quantization format having MIDI-mapped pitch values, start time and end time. But when we need to convert the MIDI-mapped pitch values to real-time drumkit values, we use reverseMidiMapping() that is available here. Notice how we map values from [35-81] range to [0-8].
We define an array named res and store the predicted sequence values based on its quantizedStartStep. We then concatenate the predicted sequence with the input seed_pattern to generate a beat!
How to proceed from here?
These are the core steps involved in using Google Magenta’s pretrained model to generate sequences for music generation. You can use the same steps to generate arpeggio patterns using improv_rnn pre-trained model.
You can check the entire code that I have used to build this music application here.
Note: If you still don't understand the steps mentioned here, I highly encourage you to do console.log() at each step of the code and understand the steps completely.
Cool Demos
People working in this domain are musicians, artists, creative coders, programmers and researchers who have built extremely amazing demos that you can find here and here.
Resources
In case if you found something useful to add to this article or you found a bug in the code or would like to improve some points mentioned, feel free to write it down in the comments. Hope you found something useful here.


There are two types of EMI : Instance-Store and EBS.
In Cloud platforms, there are two types of backend-storing when a VM is launched : instance-store and EBS. First of all, let see the differences :
An instance-store VM will be launched from a S3 image which will be stored in Walrus (like any S3 bucket) in several files. When the VM is launched, the Node Controller (NC) will download the files and store it in his own local hard drive. Then, it will run the new VM from these files. That means the VM is ran "locally". Faster to be launched, but, volatile : on stopping the VM, it will be destroyed and all files on it too. Like an ephemeral disk.
EBS Backed Instances, have their HDD on the Storage Contoller (SC). Each time you create a new VM, it will copy the original snapnhot to be a volume like another. It will be auto-attached to the Instance, being /dev/sda, and the VM will start her system from this, as if it was a generic server with its own HDD. It maybe a little longer than a Instance-Store to be launched, but you can stop these VMs and keep all datas (be carefull, it doesn't mean it will keep the ephemerals one)
First, it's really interesting to know how to setup instance-store VMs, and it is very, especially using the eustore.
We will consider your cloud is correctly setup, all services are enabled and working. Do not forget to source the eucarc file you must have downloaded. I DO suggest you to have at least one graphical client (setenv XForwarding if not) to use virt-manager. It's a pretty useful and powerfull tool to manage your XEN / KVM nodes, on remote.
Once you're ready, begin with download an instance store from the eustore. Begin with listing all images avaiable on eustore :
euser@clc-0 $>euca-describe-services -E


Each day we join with others at 11:11, a time of magic, to cultivate the power of LOVE.
We are at a unique moment in history, where for the first time, the internet offers us unprecedented global connection.
This collective action cultivates a unified force, moving us towards a world based on Love.
11:11 Action is a universal practice separate from race, religion and politics. All are welcome. Please help us spread the word.
Join Us!


Woman absolutely mortified as dad asks boyfriend what his 'porn history' is like
A woman was stunned when her overprotective dad handed her new man a list of very personal questions to answer, to determine whether or not he was 'son-in-law material'
by Courtney Pochin, https://www.facebook.com/courtneypochinmirror/?modal=admin_todo_tourWe all know that meeting the parents can be a make or break situation for a new relationship.
No matter how much you ask your mum and dad to 'go easy' on your new partner, they're bound to do something to cause tension or embarrass you.
One woman recently took her boyfriend home to meet her family and was completely and utterly mortified when her dad handed the fella a list of incredibly personal questions to answer.
The list was intended to help the dad determine whether the guy was "son-in-law material" and it asked about everything from his intentions to his porn history and past sexual partners.
Aleisha Stubley from Middlesbrough, North Yorkshire, had social media users in hysterics when she shared a snap of the questions on Twitter .
She captioned the post: "Came out for tea with Andy and my family for the first time, my dad's just gave him this. LMFAO f*** off."
The laminated list features nine questions, and starts off pretty reasonably by asking: "Where do you you see yourself in five years?"
It goes on to ask other straightforward things such as "What are your intentions with my daughter?" and "Do you have a temper?"
But as the list goes on, the questions begin to get more and more embarrassing.
For question number five, Aleisha's dad boldly asks: "What is your history with pornography?"
He later goes on to ask the poor bloke how many sexual partners he's had before his daughter and cheekily tries to find out if he'd be willing to look after his beehive if he goes away on holiday.
The list attracted a lot of attention from fellow Twitter users, many of whom praised Aleisha's dad for his sense of humour.
One person said: "He's hilarious your dad."
Another commented: "I love that he's gone all out and laminated it."
A third added: "Top bloke your dad."


Moving On, Looking Back
A short post reflecting on becoming a full time grad student at Stanford |
For a while now, I have been living two lives at once: that of a full time software engineer working at Oracle, and that of a CS Masters grad student at Stanford. In one life, finishing the first release of a brand new product with a small team of esoteric engineers scattered across a few different state. In the other, trying to keep up with classwork and delve deeper into research in AI. Granted, I was officially only a grad student part time, but it certainly did not feel like it.
Well, no more. As of two weeks ago, my time at Oracle has come to an end - I am now a full time grad student at Stanford. Being the sentimental guy that I am, I decided to write up a little blog post to commemorate the occasion - and hopefully this also mark a return to writing more stuff on this site, as I have not done in more than a year now.
It was an odd choice, going to Oracle. I had focused extensively on robotics research and AI in my undergrad, and had a perfect little plan to spend a bit of time working on robotics in industry before most likely going back to grad school. Long story short, the robotics interviews did not pan out and I went with the backup option of just doing some data-related software engineering.
Though without a hint of relation to AI, the job at Oracle did offer the exciting prospect of working on a prototype of a product rather than small iterative feature development or bug fixing as would be the case in almost all entry level positions. But, within a short period there it became clear to me the progress being made in robotics and AI is far too exciting to not get back into that world. So I applied to Stanford’s HCP program, which allows unusually enterprising young men such as myself to get a CS Master’s degree while working full time.
The plan was to stick around Oracle long enough to hopefully see our product through to release, while getting back into research and exploring possibilities for working in AI. And the plan worked! I managed to survive doing both long enough to see our product through to a beta release. At the same time, I have become a research assistent at the Stanford AI lab (my name is listed here and everything).
And here I am, now. Research and working with robots has felt like the right thing for me to do since I’ve gotten back to it, so I expect to continue with this particular focus indefinitely. Now, there is just the small matter of figuring out exactly what specific contributions I can make in this field… all in good time.


◄
Leaflet.Control.Search
RequireJs Example:
load library by AMD module compatible
Search values:
aquamarine, black, blue, cyan, darkblue, darkred, darkgray, dodgerblue, gray, green, red, skyblue, yellow, white ...
Website
•
Stefano Cudini


After you edit a component on an existing page in the default single-page application, you can follow these steps to add a SKY UX component on that page.
With the skyux serve
command running, return to the default site's About page in your web browser. The updates we made to the alert component in the previous tutorial should be in place.
In a local editor, return to the project’s about.component.html file.
Between the alert and avatar components, add a card component. Add the sky-card
element, and then within that element, add a sky-card-title
element for a title, a sky-card-content
element for the content, and a sky-card-actions
element for a button.
<sky-card>
<sky-card-title>Large card</sky-card-title>
<sky-card-content>
This card demonstrates the amount of space that is available for a card that uses
the default large size. If the content does not require this much space, you can
set the card size to small. The type of content to display in the body of a card
varies based on what the card represents and whether it prompts users to action.
The content can consist of some combination of a graph, trend, status, summary
information, and guidance text.
</sky-card-content>
<sky-card-actions>
<button class="sky-btn sky-btn-default">Click me</button>
</sky-card-actions>
</sky-card>
Save the changes.
Return to the command prompt to see that the skyux serve
command recognizes the changes and updates the page.
Return to the About page in the web browser to see the new component in place. The card component appears between the alert and avatar components.
Next step » Create a page
Previous step » Edit a component on an existing page


| PostgreSQL 9.0.10 Documentation | ||||
|---|---|---|---|---|
| Prev | Up | Chapter 45. System Catalogs | Next |
The catalog pg_proc stores information about functions (or procedures). See CREATE FUNCTION and Section 35.3 for more information.
The table contains data for aggregate functions as well as plain functions. If proisagg is true, there should be a matching row in pg_aggregate.
Table 45-32. pg_proc Columns
| Name | Type | References | Description |
|---|---|---|---|
| proname | name | Name of the function | |
| pronamespace | oid | pg_namespace.oid | The OID of the namespace that contains this function |
| proowner | oid | pg_authid.oid | Owner of the function |
| prolang | oid | pg_language.oid | Implementation language or call interface of this function |
| procost | float4 | Estimated execution cost (in units of cpu_operator_cost); if proretset, this is cost per row returned | |
| prorows | float4 | Estimated number of result rows (zero if not proretset) | |
| provariadic | oid | pg_type.oid | Data type of the variadic array parameter's elements, or zero if the function does not have a variadic parameter |
| proisagg | bool | Function is an aggregate function | |
| proiswindow | bool | Function is a window function | |
| prosecdef | bool | Function is a security definer (i.e., a "setuid" function) | |
| proisstrict | bool | Function returns null if any call argument is null. In that case the function won't actually be called at all. Functions that are not "strict" must be prepared to handle null inputs. | |
| proretset | bool | Function returns a set (i.e., multiple values of the specified data type) | |
| provolatile | char | provolatile tells whether the function's result depends only on its input arguments, or is affected by outside factors. It is i for "immutable" functions, which always deliver the same result for the same inputs. It is s for "stable" functions, whose results (for fixed inputs) do not change within a scan. It is v for "volatile" functions, whose results might change at any time. (Use v also for functions with side-effects, so that calls to them cannot get optimized away.) | |
| pronargs | int2 | Number of input arguments | |
| pronargdefaults | int2 | Number of arguments that have defaults | |
| prorettype | oid | pg_type.oid | Data type of the return value |
| proargtypes | oidvector | pg_type.oid | An array with the data types of the function arguments. This includes only input arguments (including INOUT and VARIADIC arguments), and thus represents the call signature of the function. |
| proallargtypes | oid[] | pg_type.oid | An array with the data types of the function arguments. This includes all arguments (including OUT and INOUT arguments); however, if all the arguments are IN arguments, this field will be null. Note that subscripting is 1-based, whereas for historical reasons proargtypes is subscripted from 0. |
| proargmodes | char[] | An array with the modes of the function arguments, encoded as i for IN arguments, o for OUT arguments, b for INOUT arguments, v for VARIADIC arguments, t for TABLE arguments. If all the arguments are IN arguments, this field will be null. Note that subscripts correspond to positions of proallargtypes not proargtypes. | |
| proargnames | text[] | An array with the names of the function arguments. Arguments without a name are set to empty strings in the array. If none of the arguments have a name, this field will be null. Note that subscripts correspond to positions of proallargtypes not proargtypes. | |
| proargdefaults | text | Expression trees (in nodeToString() representation)
for default values. This is a list with
pronargdefaults elements, corresponding to the last
N input arguments (i.e., the last
N proargtypes positions).
If none of the arguments have defaults, this field will be null.
| |
| prosrc | text | This tells the function handler how to invoke the function. It might be the actual source code of the function for interpreted languages, a link symbol, a file name, or just about anything else, depending on the implementation language/call convention. | |
| probin | text | Additional information about how to invoke the function. Again, the interpretation is language-specific. | |
| proconfig | text[] | Function's local settings for run-time configuration variables | |
| proacl | aclitem[] | Access privileges; see GRANT and REVOKE for details |
For compiled functions, both built-in and dynamically loaded, prosrc contains the function's C-language name (link symbol). For all other currently-known language types, prosrc contains the function's source text. probin is unused except for dynamically-loaded C functions, for which it gives the name of the shared library file containing the function.


| spark.lm {SparkR} | R Documentation |
spark.lm
fits a linear regression model against a SparkDataFrame.
Users can call summary
to print a summary of the fitted model,
predict
to make predictions on new data,
and write.ml
/read.ml
to save/load fitted models.
spark.lm(data, formula, ...) ## S4 method for signature 'SparkDataFrame,formula' spark.lm( data, formula, maxIter = 100L, regParam = 0, elasticNetParam = 0, tol = 1e-06, standardization = TRUE, solver = c("auto", "l-bfgs", "normal"), weightCol = NULL, aggregationDepth = 2L, loss = c("squaredError", "huber"), epsilon = 1.35, stringIndexerOrderType = c("frequencyDesc", "frequencyAsc", "alphabetDesc", "alphabetAsc") ) ## S4 method for signature 'LinearRegressionModel' summary(object) ## S4 method for signature 'LinearRegressionModel' predict(object, newData) ## S4 method for signature 'LinearRegressionModel,character' write.ml(object, path, overwrite = FALSE)
data |
a |
formula |
a symbolic description of the model to be fitted. Currently only a few formula operators are supported, including '~', '.', ':', '+', and '-'. |
... |
additional arguments passed to the method. |
maxIter |
maximum iteration number. |
regParam |
the regularization parameter. |
elasticNetParam |
the ElasticNet mixing parameter, in range [0, 1]. For alpha = 0, the penalty is an L2 penalty. For alpha = 1, it is an L1 penalty. |
tol |
convergence tolerance of iterations. |
standardization |
whether to standardize the training features before fitting the model. |
solver |
The solver algorithm for optimization. Supported options: "l-bfgs", "normal" and "auto". |
weightCol |
weight column name. |
aggregationDepth |
suggested depth for treeAggregate (>= 2). |
loss |
the loss function to be optimized. Supported options: "squaredError" and "huber". |
epsilon |
the shape parameter to control the amount of robustness. |
stringIndexerOrderType |
how to order categories of a string feature column. This is used to decide the base level of a string feature as the last category after ordering is dropped when encoding strings. Supported options are "frequencyDesc", "frequencyAsc", "alphabetDesc", and "alphabetAsc". The default value is "frequencyDesc". When the ordering is set to "alphabetDesc", this drops the same category as R when encoding strings. |
object |
a Linear Regression Model model fitted by |
newData |
a SparkDataFrame for testing. |
path |
The directory where the model is saved. |
overwrite |
Overwrites or not if the output path already exists. Default is FALSE which means throw exception if the output path exists. |
spark.lm
returns a fitted Linear Regression Model.
summary
returns summary information of the fitted model, which is a list.
predict
returns the predicted values based on a LinearRegressionModel.
spark.lm since 3.1.0
summary(LinearRegressionModel) since 3.1.0
predict(LinearRegressionModel) since 3.1.0
write.ml(LinearRegressionModel, character) since 3.1.0
## Not run:
##D df <- read.df("data/mllib/sample_linear_regression_data.txt", source = "libsvm")
##D
##D # fit Linear Regression Model
##D model <- spark.lm(df, label ~ features, regParam = 0.01, maxIter = 1)
##D
##D # get the summary of the model
##D summary(model)
##D
##D # make predictions
##D predictions <- predict(model, df)
##D
##D # save and load the model
##D path <- "path/to/model"
##D write.ml(model, path)
##D savedModel <- read.ml(path)
##D summary(savedModel)
## End(Not run)


I'm working on updating the documentation for Solar PV monitoring, its been a while since the application page here: https://openenergymonitor.org/emon/applications/solarpv has been updated, the intention is to update it to reflect the development of the mysolarpv app and to give a clearer guide on setting up the required input processing.
I've also been working on an update to the mysolarpv web app to include a historic daily kWh view showing clearly the amount of solar generation exported and used on site on a daily basis. It uses the cumulative kWh approach to calculating daily data, and the new guide reflects the input processing required to produce the use, solar and export feeds required for the updated mysolarpv web app.
Glyn's been working on a new user guide website site. We've put the first draft of the new solar pv guide there (Glyn will post soon explaining in more detail the intention behind the dedicated user guide site)
http://guide.openenergymonitor.org/applications/solar-pv
For those keen to test the app module it can be explored on emoncms.org under:
emoncms.org/appdev#myelectric
emoncms.org/appdev#mysolarpv
emoncms.org/appdev#myenergy
or: https://github.com/emoncms/app/tree/mysolar_history
The configuration interface is modularised and consistent across each web app. We're currently testing and trying to find as many bugs as possible in the module.
If you have a lot of existing data, but it's not in the right form, I'm working on a post processing module to make it possible to post process power feeds into kWh data and calculate the required export or import feed and kWh feeds from existing data.
I don't think the current revision of the documentation has quite reached what it needs to be yet. The idea is that a link to this page would be much more prominent on the front page of OpenEnergyMonitor as a series of application blocks, to start with: home energy monitor, solar pv and then advanced setup. We would make sure that at least these core applications are fully supported and work out of the box easily. New users wanting to monitor solarpv compared to home consumption would arrive at this page, perhaps after spending a very short time scanning the front page, and so it would need to be a suitable introduction to the system but focused on the application at hand rather than complicated with all possible options. The intention is for the application guide to then link through to the more in-depth emonpi/emontx setup guide for things like wifi setup.
I will keep updating as I work on this, interested to hear thoughts on it so far.
Re: Development: Updating the documentation for Solar PV monitoring + updates to MySolarPV Web App
One question is whether the mysolar app should calculate a cumulative kWh export feed for generating the history view or calculate a cumulative kWh import. It's currently configured as export but perhaps import would actually be more sensible as this is the amount billed for - I need to check the implementation implications.
Re: Development: Updating the documentation for Solar PV monitoring + updates to MySolarPV Web App
A couple of screenshots of the new app module update:
Standard config interface across each web app:
My solar pv power view:
My solar daily kWh history view:
House consumption above 0 in blue. Solar used on site shaded yellow (green-ish) above 0. Solar exported below 0. Figures at the bottom show daily totals when mouse hovers over a bar.
Re: Development: Updating the documentation for Solar PV monitoring + updates to MySolarPV Web App
After installing the apps with git, I do not get the configuration screen allowing me to select my feeds, instead I get the attached screen.
What is the url to get to the configuration screen shown?
Thanks
Re: Development: Updating the documentation for Solar PV monitoring + updates to MySolarPV Web App
Did you select the mysolar_history branch? You can switch to it with:
git checkout mysolar_history
I should warn this is still in development, not bug free yet.
Re: Development: Updating the documentation for Solar PV monitoring + updates to MySolarPV Web App
I followed these instuctions:
cd /var/www/emoncms/Modules
git clone https://github.com/emoncms/app
Re: Development: Updating the documentation for Solar PV monitoring + updates to MySolarPV Web App
HI Trystan
I get an error message when opening up the My Electric app: ERROR: feed.getdataDMY invalid response: [object Object]
Which version of EmonCMS is required for the apps? I have 9.1 installe at the moment.
Besides that. everything seems to work it just not loads the kwh data on the my Electric app.
Re: Development: Updating the documentation for Solar PV monitoring + updates to MySolarPV Web App
@rjsears, to test this development version just run:
git checkout mysolar_history
in directory /var/www/emoncms/Modules/app
@firefox7518, it needs the current emoncms stable or master branch. We need to make a new release tag for this. it will probably be 9.5.
Re: Development: Updating the documentation for Solar PV monitoring + updates to MySolarPV Web App
Thanks Trystan
Maybe a short note would be good to let users know that. It was one the points which were always hard to find in the docs :-)
Regards from Switzerland
Andi
Re: Development: Updating the documentation for Solar PV monitoring + updates to MySolarPV Web App
I now use "House / Solar / Utilised / Grid / Surplus" as the names and order of the numbers below the graph. Everyone will have their own views about the right labels. Any chance of making at least those labels configurable in the same dialogue as the feeds? Order and colour not so important.
Re: Development: Updating the documentation for Solar PV monitoring + updates to MySolarPV Web App
Trystan,
This looks great. One thought, a lot of users will be diverting solar to either an immersion heater or some other device.
Would it be possible to include this as another section under the line so to speak. You have solar used in the home as green above the line but solar diverted, i.e. not returned to the grid should be under the line (to my mind at least).
Simon
Re: Development: Updating the documentation for Solar PV monitoring + updates to MySolarPV Web App
@Peter trying to keep the number of options down at the moment, can the naming be improved as standard? It would be good if it was applicable to multiple kinds of buildings not only houses but perhaps the Utilised/Direct and Surplus/Export could be set to the better names if there is common agreement?
@Simon, Perhaps two levels of shading above the line could represent diverted consumption? so you would have green shade 1 diverter solar to hot water, green level 2, other self-consumption and then blue imported? Keen to keep it simple as it is for now though. Need to ensure the basics work well before adding too many variations. But worth keeping in mind for the future.
Re: Development: Updating the documentation for Solar PV monitoring + updates to MySolarPV Web App
I've changed the history view on the new mysolar app to use a grid import cumulative kWh feed rather than a exported solar cumulative kWh feed - as its likely the more useful feed to calculate. The cumulative import feed can then be used in with the myelectric app to calculate energy cost from the grid.
The output looks exactly the same. I've also updated the documentation to reflect this:
http://guide.openenergymonitor.org/applications/solar-pv
Re: Development: Updating the documentation for Solar PV monitoring + updates to MySolarPV Web App
I think the problem with labels like those on the mysolar app is that you will never get consensus, hence my suggestion of making them confiigurable.
If not in the GUI how about at least abstracting them out and commenting a block of set-up code in the JS that lets more, cough, advanced, users change the labels without tripping over other bits of HTML and JS ?


Easy webpage by Brandon
Open second window!
Close second window!
Assignment:
Make a webpage that shows some easy things to do, such as buttons, tables, javascript you find on the webpage
Just show what you can do
Make it fancy
Back to Index
Handle is a research robot that stands 6.5 ft tall, travels at 9 mph and jumps 4 feet vertically. It uses electric power to operate both electric and hydraulic actuators, with a range of about 15 miles on one battery charge.
What is the name of the company that created handle?
Click button for answer.
Click Me!


I have been involved in Durgapur Linux User’s Group for around last five years. I have been contributing to various open source projects quite sometime. The primary reason on why I contribute to open source is the feeling, the enjoyment when you send a patch or a PR to a open source project. It makes you happy when millions of people use your few lines of code in day to day life.
After getting through Google Summer of Code and getting covered in Super Student, a lot of people contacted me. All of them had the same set of questions.
- How to get started?
- I know x,y,z languages. which project should i contribute?
- How can i filter out a bug?
So, I thought of writing a blog post in which i’ll try to answer the questions. But, first let us overview on what is Open Source Software.
What is Open Source Software(OSS)?
Open Source Software is a computer software whose source code is made publically available for modification and enhancements released under various licenses. “What is open source?” is a good read.
I believe in the fact that reading few lines of code is more worth than read 500 pages of a book. When you follow code written by great programmers you automatically tend to pickup some great practices while coding.
Even before I studied the subject Software Engineering in college, I had practical knowledge of version control systems, debuggers, issue trackers, continuous integration tools and this was all because of contributing to a open source project.
You make a great resume that stands out from the crowd. Contributing to open source software helps you building online presence.
But, these merry words really are not much help to get you started.
How do I get started?
The first and the foremost thing is choose a programming language of your choice. Once you are done with selecting a programming language, search for a project you might be interested.
Open Hatch is just for beginners like you. The search page of Open Hatch filters out bugs based on
- Languages
- Projects
Mozilla too has a wide range of projects filter based on programming language. What can I do for Mozilla?
How do I filter out a bug?
Truly speaking, finding a bug for a beginner is really a hard job. I faced the same problems. But i’ll be listing down on how to find easy bugs and get started with contributing a large organization.
Fedora
Fedora Easy Fix page list down all the easy fixes you can get started with. Each project lists down whom you need to contact and the maintainer of the project.
Fedora Infrastructure respositories contain some easy fixes. Look for the EasyFix label in the repository issues section. https://github.com/fedora-infra
Mozilla
Getting started with Mozilla is damn simple. Mozilla has multiple gateway for their fellow new contributors.
This site suggests you project based on the programming skill you select. Once you decide you project it takes you to the respective mozilla project.
Bugs Ahoy is a site particularly for the new contributors. The website categorizes the ‘Easy bugs’ and ‘Mentored Bugs’ based on the various project like JS Engine, Devtools, Firefox OS etc.
But, what if you don’t know which project is based out of which programming language. Bugs Ahoy categorizes the easy bugs based on the programming languages too primarily Python, Java, Shell, JS, C/C++, HTML/CSS. One can combine the combination of filters to choose the perfect bug to get started.
- Mozilla Getting Involved Pages.
Mozilla has Getting Involved which list down the projects in a particular team The projects contains
- The mentors who can be contacted
- Bugzilla page
- IRC channel name
- List of mentored bugs
- Getting Involved DevTools - https://wiki.mozilla.org/DevTools/GetInvolved
- Getting Involved Mozilla.org - https://wiki.mozilla.org/Webdev/GetInvolved/mozilla.org
- Getting Involved AMO - https://wiki.mozilla.org/Webdev/GetInvolved/addons.mozilla.org
- Getting Involved SUMO - https://wiki.mozilla.org/Webdev/GetInvolved/support.mozilla.org
- Getting Involved MDN - https://wiki.mozilla.org/Webdev/GetInvolved/developer.mozilla.org
- Getting Involved Socorro - https://wiki.mozilla.org/Webdev/GetInvolved/crash-stats.mozilla.org
- Getting Involved Mozillians - https://wiki.mozilla.org/Webdev/GetInvolved/mozillians.org
- Getting Involved ReMo - https://wiki.mozilla.org/Webdev/GetInvolved/reps.mozilla.org
- Getting Involved input.mozilla.org - https://wiki.mozilla.org/Webdev/GetInvolved/reps.mozilla.org
- Getting Involved careers.mozilla.org - https://wiki.mozilla.org/Webdev/GetInvolved/careers.mozilla.org
- Getting Involved QMO - https://quality.mozilla.org/docs/webqa/get-involved/
Here is another link for Bugzilla Mentored Bugs list - https://bugzil.la/sw:mentor
KDE
If you want to start contributing to KDE, look out for the Junior Jobs tag. Like each organization KDE too contains a section on how to get started with the KDE projects.
- Getting Started - http://techbase.kde.org/Contribute
- Building a KDE Application - http://techbase.kde.org/Getting_Started/Build
- KDE Guide for a new contributor - http://flossmanuals.net/kde-guide/
- IRC - #kde-devel on Freenode
- Mailing List - https://mail.kde.org/mailman/listinfo/kde-devel
OpenStack
OpenStack is also a great project to start with. The OpenStack project is divided into various components: Swift, Glance, Nova, Horizon, Keystone etc. Each of these components have their own page. If you head over to the OpenStack Wiki Main page, you can see the components listed seperately.
Each Component page contains the link to repository, bug tracker(Launchpad), Documentation etc. OpenStack call their beginner bugs as “Low Hanging Fruit”.
- Getting Started - https://wiki.openstack.org/wiki/How_To_Contribute
- If you are a developer - https://wiki.openstack.org/wiki/How_To_Contribute#If_you.27re_a_developer
- Documentation - docs.openstack.org
- IRC - #openstack-101, #openstack on Freenode
And to find the low hanging fruits? Click here!
Wikipedia
Most of the people on the planet have heard of the name Wikipedia but ever thought of contributing to it. Wikipedia is supported by Wikimedia Foundation. Mediawiki tag their easy bugs with the easy tag. Click!
- Getting Started - http://www.mediawiki.org/wiki/Gerrit/Getting_started
- How to become a Mediawiki Hacker - http://www.mediawiki.org/wiki/How_to_become_a_MediaWiki_hacker
- Installing Mediawiki on local system - http://www.mediawiki.org/wiki/MediaWiki-Vagrant
- IRC - #mediawiki
Now this link is important
- Annoying little bugs - http://www.mediawiki.org/wiki/Annoying_little_bugs
GNOME
‘Gnome-love’ is the loving tag for the easy bugs who want to get started with the GNOME. If you ever visit the GNOME homepage: the “Getting Involved” link is clearly visible in header menubar. Anyways here is the link if you don’t want to search :)
GNOME maintains a guide for the newcomers: https://wiki.gnome.org/NewcomersTutorial
If you want to know on how to submit your first patch, read this : https://wiki.gnome.org/GnomeLove/SubmittingPatches
If you want to build the code, then just build it from here: https://wiki.gnome.org/GnomeLove/JhbuildIntroduction
Documentation: https://developer.gnome.org/
Apache
Apache maintains quite a number of projects. project.apache.org lists a catalog of more than 140 projects in which one can start contributing. The New Comers section is an easy read on how to get started in Apache, http://community.apache.org/newcomers/index.html
Getting Involved wit Apache Software Foundation: http://www.apache.org/foundation/getinvolved.html
I am an active Python/Django developer for a couple of years. So, I’m adding on how can one start contributing to Python / Django
Python
To start with contributing with Python, just head over to the Developer’s Guide (http://docs.python.org/devguide/ ). It starts with cloning the repository in your system tell goes on to tell how can you check for the easy fixes.
The developer guide mentions that how can you start with making documentation fixes, then move up to fix small bugs. Once you get acquainted you can start taking up easy bugs.
- READ: http://docs.python.org/devguide/fixingissues.html
- Issue Tracker: http://bugs.python.org/
- Easy Issues: http://goo.gl/NzJuDp
Django
Django is a Python based web-framework used by some really big companies e.g. Disqus, Instagram, Transifex etc. To start contributing in Django, head over to the page Contributing to Django.
This page lists down the links to mailing list, IRC channel, Issue Tracker.
- Getting Involved in Django: https://code.djangoproject.com/#Gettinginvolved
Like most of the open source project Django too has easy fixes for the new contributors.
- Little Easy Improvement - https://code.djangoproject.com/wiki/LittleEasyImprovements
- Easy pickings - https://code.djangoproject.com/query?status=!closed&easy=1
The “Little Easy Improvement” also mentions issue for which one can send patches for documentation, writing tests, or improving the codebase.
Django maintains a page to advice new contributors: https://docs.djangoproject.com/en/1.6/internals/contributing/new-contributors/
Contributing to Open Source does not enforce you to contribute only to a well-known community. There is a huge collection of open source projects available on websites like Github, SourceForge , Google Code, Bitbucket etc. I also enforce on the fact that just open source contribution does not help. One need to work on side-project for ideas to keep flowing out of his brain.
I also you like to quote a few lines from a nice blog post
You shouldn't become an artist so you can be famous, but because there's art inside of you that will kill you if you don't let it out. You shouldn't found a startup to make money, but because it's your life's work. And you shouldn't hack on open source projects because someone told you that your GitHub profile is your new resume, but because you want to code socially.
Once you start contributing, you start interacting to people via IRC, mailing lists. I strongly suggest you to go through the etiquette an organization follows. In general roll your eyes through this presentation to get a brief of it. http://www.shakthimaan.com/downloads/glv/presentations/mailing-list-etiquette.pdf
Even after reading this if you face any problem. Feel free to reach me on twitter or shoot me a mail at sayan DOT chowdhury2012 AT gmail DOT com. I would also like to thank Chandan Kumar who helped me in writing this blog post, he can be reached on chandankumar DOT 093047 AT gmail DOT com.


{% extends 'base.html' %} {% load static %} {% block title %} {{performance.get_role_label}}: {{performance.performer.get_full_name}} {% endblock %} {% block breadcrumb %}
Member: {{performance.performer.get_full_name}}
Role: {{performance.get_role_label}}
Title: Not Implemented yet.
EvaluateEvaluator: {{ eval.evaluator.get_full_name }} Edit See full evaluation
{% for category, comment in eval.get_general_comments %}


I'm an artist currently living in Lexington, Kentucky. I specialize in design work and illustration. On this site you can see a little bit of my work and links to find me all across the net.
Information about my commission work. If you have a request or even just a question , please submit those through this page.
Find updates about my event attendance, where you can find my wares, and other things pertaining to my art. Sometimes I even update it!


Hi there,
This is a test html email sent through the Gmail API.
This is a test for a hyperlink: 'Our Awards'.
Thanks,
Aron


--- layout: default title: "Research" --- We want to be able to predict how populations will evolve. (For example, when a new antibiotic is developed, we would like to know whether bacteria will become resistant in weeks, decades, or somewhere in between.) This goal is just starting to become realistic, thanks to rapidly advancing genetic sequencing technology. Now we need to solve a pair of theoretical problems in order to translate all the new sequence data into evolutionary predictions. First, we need to understand how to infer prevailing population dynamics from population genomic data. Second, given these patterns, we need to calculate the spectrum of possible evolutionary trajectories. Within these broad areas, our research focuses on several key questions listed below.


Handcrafted, home-made masterpieces
Premium Materials
Our trombones use the shiniest brass which is sourced locally. This will increase the longevity of your purchase.
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We make sure you recieve your trombone as soon as we have finished making it. We also provide free returns if you are not satisfied.
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For every purchase you make, we will ensure there are no damages or faults and we will check and test the pitch of your instrument.
Tenor Trombone
$600
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Bass Trombone
$900
- Loren ipsum.
- Loren ipsum.
- Loren ipsum dolor.
- Loren ipsum.
Valve Trombone
$1200
- Plays similar to a Trumpet
- Great for Jazz Bands
- Loren ipsum dolor.
- Loren ipsum.


zip2john
A tool to extract password hashes from zip files for use with John the Ripper password cracker.
This is a utility tool usually installed as part of the John the Ripper installation.
More information: home page
- Extract the password hash from an archive, listing all files in the archive:
zip2john path/to/file.zip
- Extract the password hash using [o]nly a specific compressed file:
zip2john -o path/to/compressed_file path/to/file.zip
- Extract the password hash from a compressed file to a specific file (for use with John the Ripper):
zip2john -o path/to/compressed_file path/to/file.zip > file.hash


What does it mean to have a constraint involving optional or negated elements (elements that may not or must not be present)? Interpreting such queries can require careful attention to how each query component influences how database elements match the query. This is most easily seen by walking through a relevant example.
The database fragment below represents selected college and university student Internet home pages and the pages they connect to:
The query in Figure 5.23 finds home pages that do not link to any other pages from the same site.
The constraint
start-page.Site = linked-page.Site
requires that the query only consider linked pages from the
same site as the start page. The [0]
annotation
on the linked_page vertex tells
the query to only match subgraphs that contain no such linked pages.
In other words, the query will only match student home pages that do
not link to any other pages from the same site. Such home pages may
or may not link to pages on other sites. Linked pages from different
sites are irrelevant for this query.
The results of executing this query are shown below:
This query found two home pages that do not connect to other pages on
the same site. Page1.html doesn’t
link to any other page; therefore, it satisfies the query.
Page2.html links to two other pages, but
neither of the linked pages is from the same site, so it also
satisfies the query. The third home page in the database,
page5.html, links to another page
from Smith and thus satisfies the constraint, but the
[0]
annotation excludes it from the query results.
If we modify the query to use [0..]
instead
of [0]
for the linked-page
vertex, we change the meaning of the query and thus its results.
This modification says that a home page may, but is not required to,
link to a page from the same site to match the query. Executing the
modified query yields different results than those we saw for
the query in Figure 5.23.
Because home pages that do not link to other pages from the same
site match the query, the results of this query include the previous
results. Page5.html links to a page
from the same site and
therefore satisfies the constraint. But this time the
[0..]
annotation on the
linked-page vertex tells us to include
such pairs in the results.


For those who don’t know me, I’m Quakelyn Canutab Lisayen, born three weeks earlier on July 21, 1990 due to the 1990 Killer earthquake that struck Northern Luzon. Well I studied primary school at Philex Mines, Padcal, Tuba, Benguet and transferred at Baguio City National High School for secondary school. I’ve been choosing between University of Baguio or Baguio College of Technology for tertiary but I don’t want a crowded place so I chose the second one. There, I did not take college seriously so I ended up at 3rd Year in BS – Information Technology. (I will still study if given a chance LOL).
10 Things I Love To Do
- eat
- sleep
- sing
- dance
- read(wattpad)
- browse in all my social media accounts
- play with the dogs
- meet my friends
- watch
- chat with my mom
10 Things I Hate About Myself
- super moody as in I easily get mad
- matampuhin
- pimples
- illness
- snoring (LOL)
- opened mouth while sleeping (LMAO)
- height!
- overweight (my bones are heavy; IGOROT eh)
- kuripot
- when depression strikes
Wishlist
- Ma-kidney transplant na ASAP(in God's time)
- Hike again with friends
- Go to beach
- Go to EK this Christmas with my siblings
- Go to Palawan with my love(ASA)
- Go to South Korea and visit my mon and relatives there
- To have a job that I will love to do
- Picnic with friends
- To live a peaceful and happy life
- Get married before 30 years old(%more to go)
What People Thinks About Me
- Ill-tempered
- Loner
- Can't talk to
- Snob
- Feeling(in all aspects LOL)
- Bossy at work(way back)
- Happy go lucky
- Maldita
- Rich(sana LOL)
- Bitchy and naughty(di naman po,friendly lang)
Favorite Food
- Palabok
- Fried chicken(not breaded)
- Shawarma
- Siomai
- Chicken mami
Favorite Song
- No Ordinary Love
- For All of My Life
- Bring me to Life(Evanescene)
- Fallen Angel(Three Days Grace)
- The Closer I Get To You(MYMP)
- God Gave Me You
- Love Yourself
- Because I Miss You(Jung Yong Hwa)
- Blessings
I usually love being alone when I have lots in my mind. I cry it out alone when depression strikes. I don’t wanna be seen weak coz its not me. I smile and talk a lot in front of others and my friends but i cant actually tell them what i really feel. That at times, im tired but i still need to stand and fight. When im pissed, i text or pm my bestfriends and close friends to send me a joke and it always works. But what if none of them replies?
Well those are some things about me, so if you don’t know me yet. Don’t judge or assume. Just talk to me and maybe we can be friends. 😎😎😎


The python-openstackclient
project provides two types of tests: unit
tests with mocked server responses and functional
tests that require a real server deployed. The latter expect a
specific DevStack-based deployment and attempts to run these tests against a
“standard” DevStack deployment with minimal configuration or a deployment
created by another tool with result in a lot of test failures.
==============================
Failed 48 tests - output below:
==============================
setUpClass (openstackclient.tests.functional.network.v2.test_network_meter_rule.TestMeterRule)
----------------------------------------------------------------------------------------------
Captured traceback:
~~~~~~~~~~~~~~~~~~~
Traceback (most recent call last):
File "/home/fedora/python-openstackclient/openstackclient/tests/functional/network/v2/test_network_meter_rule.py", line 34, in setUpClass
json_output = json.loads(cls.openstack(
File "/home/fedora/python-openstackclient/openstackclient/tests/functional/base.py", line 74, in openstack
return execute(
File "/home/fedora/python-openstackclient/openstackclient/tests/functional/base.py", line 41, in execute
raise exceptions.CommandFailed(
tempest.lib.exceptions.CommandFailed: Command 'openstack --os-cloud=devstack-admin network meter create -f json 82c6e512857e40d78e86b9db54c66e73' returned non-zero exit status 1.
stdout:
stderr:
b'ResourceNotFound: 404: Client Error for url: http://<IP_ADDRESS>:9696/v2.0/metering/metering-labels, The resource could not be found.\n'
openstackclient.tests.functional.network.v2.test_network_qos_rule.NetworkQosRuleTestsBandwidthLimit.test_qos_rule_create_delete
-------------------------------------------------------------------------------------------------------------------------------
Captured traceback:
~~~~~~~~~~~~~~~~~~~
Traceback (most recent call last):
File "/home/fedora/python-openstackclient/openstackclient/tests/functional/network/v2/test_network_qos_rule.py", line 161, in setUp
self.openstack(
File "/home/fedora/python-openstackclient/openstackclient/tests/functional/base.py", line 74, in openstack
return execute(
File "/home/fedora/python-openstackclient/openstackclient/tests/functional/base.py", line 41, in execute
raise exceptions.CommandFailed(
tempest.lib.exceptions.CommandFailed: Command 'openstack --os-cloud=devstack-admin network qos policy create qos_policy_178299ca49d544bb9d5c145ee4c71d80' returned non-zero exit status 1.
stdout:
stderr:
b'ResourceNotFound: 404: Client Error for url: http://<IP_ADDRESS>:9696/v2.0/qos/policies, The resource could not be found.\n'
openstackclient.tests.functional.network.v2.test_network_qos_rule.NetworkQosRuleTestsBandwidthLimit.test_qos_rule_list
----------------------------------------------------------------------------------------------------------------------
...
But how does one actually configure their system appropriately. Docs are
non-existent but we know that the CI works so clearly that’s a good starting
place. As you’ll likely know if you’re reading this, the OpenStack community
uses Zuul for testing. You can see the zuul job configuration for
projects in either a .zuul.yaml
file or in various YAML files in a .zuul.d
directory, both of which can be found in the root directory of the project.
python-openstackclient uses the former, which you can see
here. Looking at that, we can see the definition for the
osc-functional- devstack
job, which inherits from
the osc-functional-devstack-base
job, which
in turns inherits from the devstack-tox-functional
job and so on…
Looking at the osc-functional-devstack
job, we can see that it enables the
neutron DevStack plugin and sets a couple of neutron-related feature flags and
some other misc attributes in DevStack via the devstack_plugins
devstack_services
, and devstack_localrc
job variables,
respectively. You can see the documentation for these
variables in the DevStack docs and
you can use the codesearch.o.o service to figure out what enabling each of these
services or specifying those extra config variables will do, like this
one. If you want to see the definition of the Ansible role
that these variables are being passed to, you can look at that
too.
If you read through all the docs, you’ll eventually come to the conclusion that
to get this to work locally, you’re going to need to add the following to your
local.conf
when deploying DevStack:
# Plugin configuration
enable_plugin neutron https://opendev.org/openstack/neutron
# Service configuration
## Disable OVN services
disable_service br-ex-tcpdump
disable_service br-int-flows
disable_service ovn-controller
disable_service ovn-northd
disable_service ovs-vswitchd
disable_service ovsdb-server
disable_service q-ovn-metadata-agent
## Neutron services
enable_service q-agt
enable_service q-dhcp
enable_service q-l3
enable_service q-meta
enable_service neutron-network-segment-range
enable_service neutron-segments
enable_service q-metering
enable_service q-qos
enable_service neutron-tag-ports-during-bulk-creation
enable_service neutron-conntrack-helper
# Misc configuration
Q_AGENT=openvswitch
Q_ML2_TENANT_NETWORK_TYPE=vxlan
Q_ML2_PLUGIN_MECHANISM_DRIVERS=openvswitch
Add this to your otherwise uncomplicated local.conf
and in theory things
should just work (TM). There might be more to it but hopefully there’s enough
here for folks to figure out how to debug things if so.


Majin Buzz random
Table of Contents
• May 13, 2019 •
Deep Inside
• May 10, 2019 •
Rainy Days
• April 30, 2019 •
It's all about philosophies
• April 30, 2018 •
Rotina


Beam Nemo Runner documents updated!
Aug 15, 2022 • Won Wook SONG
Hi!
We’ve updated our introductions for the NemoRunner page of the Apache Beam website. Please check it out!
- Older
- Newer
Aug 15, 2022 • Won Wook SONG
Hi!
We’ve updated our introductions for the NemoRunner page of the Apache Beam website. Please check it out!


All Too Well
Taylor Swift
Red · Released Oct 2012 · #1 Billboard
I walked through the door with you, the air was cold,
But something 'bout it felt like home somehow and I
Left my scarf there at your sister's house,
And you still got it in your drawer even now.
Oh, your sweet disposition and my wide-eyed gaze.
We're singing in the car, getting lost upstate.
The Autumn leaves falling down like pieces into place,
And I can picture it after all these days.
And I know it's long gone,
And that magic's not here no more,
And I might be okay,
But I'm not fine at all.
'Cause there we are again on that little town street.
You almost ran the red 'cause you were looking over me.
Wind in my hair, I was there, I remember it all too well.
Photo album on the counter, your cheeks were turning red.

And I know it's long gone
And there was nothing else I could do
And I forget about you long enough
To forget why I needed to
'Cause there we are again in the middle of the night.
We dance around the kitchen in the refrigerator light
Down the stairs, I was there, I remember it all too well, yeah.
Maybe we got lost in translation, maybe I asked for too much,
And maybe this thing was a masterpiece 'til you tore it all up.
Running scared, I was there, I remember it all too well.

So casually cruel in the name of being honest.


Enter a newline-separated list of glob expressions, just like a .gitignore file If a file matches any of these patterns, it will not trigger a page refresh.


func Object(pkg *types.Package, p Path) (types.Object, error)
Object returns the object denoted by path p within the package pkg.
A Path is an opaque name that identifies a types.Object relative to its package. Conceptually, the name consists of a sequence of destructuring operations applied to the package scope to obtain the original object. The name does not include the package itself.
type Path string
func For(obj types.Object) (Path, error)
The For function returns the path to an object relative to its package, or an error if the object is not accessible from the package's Scope.
The For function guarantees to return a path only for the following objects: - package-level types - exported package-level non-types - methods - parameter and result variables - struct fields These objects are sufficient to define the API of their package. The objects described by a package's export data are drawn from this set.
For does not return a path for predeclared names, imported package names, local names, and unexported package-level names (except types).
Example: given this definition,
package p type T interface { f() (a string, b struct{ X int }) }
For(X) would return a path that denotes the following sequence of operations:
p.Scope().Lookup("T") (TypeName T) .Type().Underlying().Method(0). (method Func f) .Type().Results().At(1) (field Var b) .Type().Field(0) (field Var X)
where p is the package (*types.Package) to which X belongs.


Say Hello
Have a question? We are here to help! Email us at<EMAIL_ADDRESS>for the fastest response.
After countless hours of research and brainstorming, we are excited to bring you the brainchild of Mimi Midnight and Vera Kim: 2 dance intensives, one focused on movement quality, another to ignite your movement magic! These are all-level intensives designed for students that want to progress their dance or to just have fun! Sign up for our mailing list below to be the first to hear about our intensives!
Own a studio? Email us at<EMAIL_ADDRESS>to have us at your studio or for more information.
Have a question? We are here to help! Email us at<EMAIL_ADDRESS>for the fastest response.


{{videoContent}} Analysis for Water Flow Dynamics in Aa River:
Water flow dynamics of a river has major influence in the ecological functions of the river. An
intricate relationship exists between water flow dynamics and sedimentation. These processes
influence the prevalence of vegetation in the river which is a key part of river naturalization
process.
River velocity, a crucial measure of water flow dynamics is also an indicator of effectivity of
river naturalization process. In this project, we utilize video captured from UAV platform to
measure the velocity of the river. We deployed three floats on the river and captured the video as
the floats drifted along the river. The videos were captured with Sony A5100 in visible spectrum
and with FLIR Ocean Scout TK in thermal spectrum.


Execution Log
CLOSE
CLOSE
FULL HELP
WIKI
BitViz - A Bitwise Operation Visualizer
New Variable
AND
OR
XOR
NOT
Help
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Built with
by unsuitable001


 This plugin is supported for BF4 and BFH. Enjoy it :)
☰ Options:
- "Use Categorized Favorites" (default: on): Toggle the plugin
☰ Changelog:
Click to open/close:
v1.0:
- Initial release
Source code can be found here:
https://getbblog.com/plugins/user/147823.js?m=5e5
Any suggestions or ideas I could add? Anwser here and I'll respond :)


Adjusted the code that parses blog.ini values so that it can take values like:
foo = 'a' # string
foo = "a" # string
foo = 23 # integer
foo = [ "a", 23, "b" ] # list of strings and integers
as well as:
foo = a # string
Note: if you want the string “23”, then you MUST enclose it in quotes, otherwise it will be parsed as an integer.
blog.ini is used when you set up PyBlosxom using Paste.
Fixed PyBlosxomWSGIApp so that it’s WSGI compliant as an application. Thanks Michael!
Template variables can be parenthesized. Examples:
$foo - variable is "foo"
$(foo) - variable is "foo"
$(url)index.atom - variable is "url"
This reduces ambiguity which was causing problems with recognition of variables.
1. Lots of code clean-up, documentation, test-code, and some refactoring.
cb_filestat will only do an os.stat if no plugin handles the filestat. Previously, cb_filestat did an os.stat and ran through all the plugins allowing them to over-ride it.
Added some testing framework pieces. This requires nose. To run the tests, do:
nosetests --verbose --include unit
nosetests --verbose --include functional
We added a blog_rights property. This holds a textual description of the rights you give to others who read your blog. Leaving this blank or not filling it in will affect the RSS 2.0 and Atom 1.0 feeds.
If you set flavourdir``in your config.py file, you have to put your flavour files in that directory tree. If you don't set ``flavourdir, then PyBlosxom expects to find your flavour files in your datadir.
The flavour overhaul is backwards compatible with previous PyBlosxom versions. So if you want to upgrade your blog, but don’t want to move your flavour files to a new directory, DON’T set your flavourdir property.
Moved the content that was in README to CHANGELOG.
You can now organize the directory hierarchy of your blog by date. For example, you could create a category for each year and put posts for that year in that year (2003, 2004, 2005, ...). Previously URLs requesting “2003”, “2004”, ... would get parsed as dates and would pull blog entries by mtime and not by category.
Logging works now. The following configuration properties are useful for determining whether events in PyBlosxom are logged and what will get logged:
It’s likely you’ll want to set log_file and log_level and that’s it. Omit log_file and logging will fall back to stderr which usually gets logged to your web server’s error log.
We added a blog_email item to config.py and changed blog_author to just the author’s name. Examples:
py[“blog_email”] =<EMAIL_ADDRESS>py[“blog_author”] = “Joe Man”
We no longer adjust blog_title from what you set in config.py. Now we have a blog_title_with_path variable which is in the data dict which is the blog_title with the path information. People who want the title of their blog to be the title and not include the path should use $blog_title. Folks who want the old behavior where the path was appended to the title should use $blog_title_with_path .
We now support WSGI, mod_python, and Twisted in addition to CGI.
Upped our Python requirement to Python 2.2. If you have an earlier version than that, you won’t be able to use PyBlosxom 1.2.
Changed defaultFlavour to default_flavour. This property allows you to specify the flavour to use by default if the URI doesn’t specify one. It default to html.
We moved the main PyBlosxom site to http://pyblosxom.sourceforge.net/ . There’s a “powered by pyblosxom” image at http://pyblosxom.sourceforge.net/images/pb_pyblosxom.gif
You should adjust your templates accordingly.
We now have a Request and a Response object. See API documentation for more details.
Don’t use os.environ directly—use the http dict. For example, this is bad:
path_info = os.environ["HTTP_PATHINFO"]
This is what you should be doing:
http = request.getHttp()
path_info = http["HTTP_PATHINFO"]
If you use os.environ directly, it’s likely your plugin won’t work with non-CGI installations of PyBlosxom.
We added __iter__, read, readline, readlines, seek, and tell to the Request object. All of them access the input stream. You should not use sys.stdin directly.
Usage:
data = request.read()
data_part = request.read(1024)
one_line = request.readline()
lines = request.readlines()
The output stream should be accessed through the PyBlosxom Response object. The following methods are implemented in the Response object: __iter__, close, flush, read, readline, readlines, seek, tell, write, writelines, setStatus, and addHeader. You should not use sys.stdout directly. See the API for more details.
Usage:
response = request.getResponse()
response.addHeader('Status', '200 Ok')
response.addHeader('Content-type', 'text/html')
response.write("Hello World")
response.writelines(["list", "of", "data"])
Instead of doing:
form = request.getHttp()["form"]
you can now do:
form = request.getForm()
Plugins should not be importing the config module and looking at the py dict directly. You should instead use the Request getConfiguration() method to get the config py dict.
We ditched blosxom_custom_flavours—you can remove it from your config.py file.
We added static rendering—see the howto in the PyBlosxom manual.
Rewrote comments to use the new handler system. You should replace the comments, pingbacks, trackbacks, and other comments-oriented plugins with the new versions from contrib/plugins/comments/.
pingbacks plugin is now xmlrpc_pingbacks.py .
Adjusted the default templates for HTML and RSS. Removed all other default templates. Look at the flavour_examples directory for flavour examples.
Added an ignore_properties property to config.py which allows you to specify which directories in your datadir should be ignored. For example:
py["ignore_directories"] = ["CVS", ".svn"]
Added a template variable pyblosxom_version which points to pyblosxom/Pyblosxom/pyblosxom.VERSION_DATE .
Fixed some code in pyarchives so it worked with Python 2.1. Thanks to Wilhelm.
Fixed template retrieving code so that you can specify templates to use for a given category or parent categories. Thanks to Nathan for fixing this.
We added a logdir property to config. PyBlosxom (and plugins) will create logs in this directory so the directory has to have write access for whatever user the webserver uses to run the script.


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{% load staticfiles %}
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{% for content in jobs %}
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