6 8 Loops

[Charo Lemucchi]

Button 1, when pressed exits the inner loop. Button 2 when pressed exits the outer loop and the program should stop. I put in a probe at the outer loop terminator and sure enough a TRUE goes to the terminator when I press button 2 but the program does not stop. Apparently, all inner loops must terminate before the outer loop can terminate.

While the example is trivial, the problem it illustrates is a real one for me. I want to provide a panic stop button is a large and complicated program and I don't see how I can do that with things as they are.

Providing a single Stop button to stop everything in a large program can be a complex task. The key issue is that EVERY loop, function, subVI, case structure, event structure, sequence structure, and so on... must stop to stop the loop. If you have something like a file write or a read from GPIB instrument which takes 100s of milliseconds or seconds to complete, the stop process will take at least that long, assuming the time-consuming node was running when the stop was issued.

Another point: You should place the Button 2 terminal inside the the event case which responds to the button. That assures that the button will be read so the mechanical action works as expected. With it outside the loop it will only be read once.

A Notifier can be used to "spread the word" when it is time to stop. The timeout will keep it from waiting forever and will also allow other code parallel to the inner while loop to execute during the waits.

You need to understand a few basic things here: Your event structure and while loop execute in parallel, and the outer loop cannot iterate until both have completed. However, it cannot go to the next iteration unless the event structure has fired once, which only occurs if you want to stop the outer loop. (Since you did not wire a timeout value, the timeout will never happen). Since the outer loop stops unconditionally after the first iteration here, it has no purpose here.

Obviously, all your desired functionality is easily possible if correctly implemented. A big mistake is to have an event structure in parallel to blocking code in the same loop. As long as the inner loop spins, the event structure can only handle the first event it sees.

You need to decouple the user interface interaction from the processing, which is most easily done with two parallel loops, one to handle events and one to do your processing. Have a look at producer consumer arcitecture or similar.

If it is a pain in the @$$, you are using it wrong. One of the big advantage of dataflow is parallelism and levering the power of data dependency will automatically protect your critical sections. I have a fancy LabVIEW program that runs 17x faster on my fancy 16 core Xeon compared to the same code forced to execute sequentially.

Sequence structures don't violate dataflow, they are part of dataflow to enforce execution order if it cannot be enforced by other means (e.g. data dependency). A direct data dependency is highly preferred and almost always possible. Of course if all data dependency is destroyed by overuse of local variable and value property nodes, it will force overuse of sequence structures. Two wrongs don't make a right.

You are looking at this very simplistically. A program that interacts with the outside world (high voltage, high speed, etc.) cannot simply drop what it is doing and return to idle, it typically needs to follow a defined shutdown procedure. Similarly, if you are doing a lenghty 2D FFT, how is it supposed to quit unless you write the FFT routines yourself and constantly poll for a shutdown signal. It probably will be orders of magnitude slower, so what's the point?

Again, shutdown will be slow if your code is trapped in a lengthy sequence structure, but that's not good programming! If you would replace the sequence with a proper state machine, it can react much quicker because there are many more exit points and at the same time it can invoke defined shutdown states that may be needed.

Ansible offers the loop, with_, and until keywords to execute a task multiple times. Examples of commonly-used loops include changing ownership on several files and/or directories with the file module, creating multiple users with the user module, andrepeating a polling step until a certain result is reached.

Be careful when changing with_items to loop, as with_items performs implicit single-level flattening.You may need to use flatten(1) with loop to match the exact outcome. For example, to get the same output as:

You can pass a list directly to a parameter for some plugins. Most of the packaging modules, like yum and apt, have this capability. When available, passing the list to a parameter is better than looping over the task. For example

Normally the play itself is a loop over your inventory, but sometimes you need a task to do the same over a different set of hosts.To loop over your inventory, or just a subset of it, you can use a regular loop with the ansible_play_batch or groups variables.

The loop keyword requires a list as input, but the lookup keyword returns a string of comma-separated values by default. Ansible 2.5 introduced a new Jinja2 function named query that always returns a list, offering a simpler interface and more predictable output from lookup plugins when using the loop keyword.

When using loop_control.extended more memory will be utilized on the control node. This is a result of ansible_loop.allitems containing a reference to the full loop data for every loop. When serializing the results for display in callback plugins within the main ansible process, these references may be dereferenced causing memory usage to increase.

You can nest two looping tasks using include_tasks. However, by default, Ansible sets the loop variable item for each loop.This means the inner, nested loop will overwrite the value of item from the outer loop.To avoid this, you can specify the name of the variable for each loop using loop_var with loop_control.

The major benefit of recording loops is the fact that every analog drum hit has a slightly different shape and vibe to it - a human quality that one-shots (even round robins) can't touch. When you sample the machine directly from the source and add your own flavor to it (tastefully, of course!) via preamps, compression, saturation, etc, the unique sonic qualities that emerge from the sounds become even more evident now that you're recording 4 seconds worth of a kick, instead of a fraction of a second. Grabbing a 4 beat loop of 909 kicks and layering that with a snare roll can sound quite convincing immediately.

But in addition to the sonic benefits, the on-board step sequencing of the 909 - both its limitations and intricacies - is just as inspiring. Whether you're grooving between the flam and shuffle settings or choking the closed and open hi hats, the 909's programming features are somehow more limited yet more immediate and inspiring than newer drum machine (just ask Jeff Mills...It's been 25 years and he's still not bored with it).

So with this in mind, we recorded hundreds of loops ranging from clean, unadulterated transients (most people don't realize an unprocessed 909 kick has a HUGE spike) to trashy, squared-waved 909 trash. We set out to do all the stuff that ITB sequencers struggle with - analog pitch modulating snare rolls by hand, shuffling tom flams, and more.

Opting for a variety of both straight and shuffled rhythms, we recorded everything from simple and dry to complex patterns with over-the-top outboard processing. We focused on capturing different types of loops that would be applicable at different stages of your production process. The more stripped-down loops and patterns are great for inserting into pre-existing productions, while the more effected and unique loops are a great starting point or background energy. In the same way, the individual drum loops provide a much greater level of flexibility and detail, while the whole beats and tops can get you started a lot quicker. All of this is to say there should be something for everybody in here.

Hi Vera! The plain weave is a simple over under pattern, I have a post about it here -tip-back-to-the-plain-weave-basics/
The soumak weave crosses over some warp threads then loops around the last one and continues to cross over then loop. Here is a post about that -techniques-soumak-weave-notes-and-video/
I hope this helps ?

For loops can be used in HubL to iterate through sequences of objects. They will most commonly be used with rendering blog content in a listing format, but they can also be used to sort through other sequence variables.

For loops begin with a % for % statement and end with an % endfor % statement. Within the % for % statement a single sequence item is named followed by in and then the name of the sequence. The code between the opening and closing for statements is printed with each iteration, and generally includes the printed variable of the individual sequence item. Below is the basic syntax of a for loop:

The next example uses conditional logic to check whether the length of the loop is divisibleby certain numbers. It then renders the width of the post-item div accordingly. The example uses the standard blog post loop and assumes that there are 6 posts in the loop.

Loops can also be nested with loops. The child for loop will run with each iteration of the parent for loop. In the example below, a list of child items is printed in a nested

within a
of parent items.

The cycle tag can be used within a for loop to cycle through a series of string values and print them with each iteration. One of the most practical applications to this technique is applying alternating classes to your blog posts in a listing. This tag can be used on more than two values and will repeat the cycle if there are more loop iterations than cycle values. In the example below, a class of odd and even are applied to posts in a listing (the example assumes that there are 5 posts in the loop).

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