loaf | loaf : lua , osc , and openFrameworks

Try generate a random array, then find the max:

The padding will not change the boundary condition: You are padding by replicating the function, mirrored, four times. The function is symmetric, so the mirroring doesn't change it. Thus, your padding simply repeats the function four times. The convolution through the DFT (which you're attempting to implement) uses a periodic boundary condition, and thus already sees the input function as periodic. Replicating the function will not improve the convolution results at the edges.

To improve the result at the edges, you would need to implement a different boundary condition, the most effective one (since the input is analytical anyway) is to simply extend your domain and then crop it after applying the convolution. This introduces a boundary extension where the image is padded by seeing more data outside the original domain. It is an ideal boundary extension suitable for an ideal case where we don't have to deal with real-world data.

This implements the Laplace though the DFT with greatly simplified code, where we ignore any boundary extension, as well as the sample spacing (basically setting dx=1 and dy=1):

To be clear you are assigning one value to each key. The value is a list that contains two things, "cost" and "value".

s1 = random.choice(list(shop.keys()) randomly selects a key from your dictionary, shop. To retrieve the value associated with the key you can use s1_cost, s1_value = shop[s1] or s1_cost, s1_value = shop.get(s1).

To retrieve a random item from the list you can use random.choice(shop[s1]).

the problem is that you are trying to iterate through an object instead of an Array initialData[0]

if you do this

I think I understood your problem.

Given:

• num_items - the number of available items
• targets - a list of potential targets, each having a value
• threshold - a cutoff limit

Task:

• Choose the first num_items elements of targets, whose values are above or equal to threshold.
• Return the array index of the last chosen element from targets (starting with 1), or 0 if not enough targets are available. (Odd decision, I would have gone with indices starting at 0 and return len(targets) if none found, but fine)
• Optimize for speed. targets and num_items are identical every time, threshold is the only value that changes.

General all possible combinations using cross join and filter out the ones that exist:

Your current design has redundant data you should normalize your database structure by maintaining separate table for order & order items further more you can add a customer table also.

As per your current design you can loop through all of the rows and conditionally showing each order no. only once.

In the global scope this points to global object (in a browser it will be window). Now when you call person.sayHobby(), sayHobby is NOT an arrow function. So this call create a new lexical context where this points to whatever to the left of the . in person.sayHobby() which is the person object.

Next you call setTimeout which is equivalent to window.setTimeout. The setTimeout call will have lexical scope where this evaluates to window. But we don't see this because setTimeout is an internal browser method. You can't see it's code.

When you call setTimeout you pass a function argument. That argument included the lexical context of the caller. So then setTimeout calls your arrow function back, it calls it with the lexical context passed in it.

You don't have to specify each file, you can include the directory.