memorize | It lets you find words | Model View Controller library

You can make a variable accept nulls by using ?
In Kotlin, the type system distinguishes between references that can hold null (nullable references) and those that cannot (non-null references). For example, a regular variable of type String cannot hold null:

In Java, each object (which includes arrays) has a type that is determined upon construction, e.g. using the new operator. This type never changes.

Variables only contain references to objects. Think of a remote control. You can refer to an object using a variable having a broader type, i.e. the type of a superclass or interface of the object. But this doesn’t change the type of the object itself.

Therefore, when you invoke an overridable method, you will always invoke the most specific method of the object’s actual type. Further, a type cast will succeed if the object’s actual type is compatible. The variable’s reference type does not tell whether the type cast will succeed, as otherwise, we wouldn’t need the runtime check at all¹.

When you initialize a variable like

There are multiple options, here are two simple solutions just to link your code parts.

Suggestion with minimal changes in your logic:

You can just save the onPhotoClick(String path) to a field that will defined in the activity class scope and then use this field in the onOptionsItemSelected adding some code parts:

Conceptually you can break this task down into two steps:

1. Rebuild the tree into a perfectly-balanced BST with the bottom row filled in from left-to-right. You can do this using a modified version of the Day-Stout-Warren algorithm.
2. Run the heapify algorithm to convert your tree into a binary heap. This can be done really beautifully recursively; see below for details.

The Day-Stout-Warren algorithm works by rotating the tree into a singly-linked list, then from there applying a series of rotations to turn it into a perfectly-balanced tree. I don't remember off the top of my head whether the DSW algorithm specifically will place all leftover nodes in the bottom layer of the tree on the far left, as needed by a binary heap. If not, you can fix this up by doing a cleanup pass: if the tree doesn't have a number of nodes that's a perfect power of two, remove all nodes from the bottom layer of the tree, then iterate over the tree with an inorder traversal to place them on the far left.

As for the heapify algorithm: the way this is typically done is by visiting the layers of the tree from the bottom toward the top. For each node, you repeatedly swap that node down with its smaller child until it's smaller than all its children. With an explicit tree structure, this can be done with an elegant recursive strategy:

• If the tree has no children, stop.
• Otherwise, recursively heapify the left and right subtrees, then perform a "bubble-down" pass of repeatedly swapping the root's value with its smaller child's value until it's in the right place.

This overall requires O(n) time and uses only O(log n) auxiliary storage space, which is the space you'd need for the stack frames to implement the two algorithms.

That being said - this seems like a really bad coding question to put on a 30-minute timed exam. You can have a great command of algorithms and how to code them up and yet not remember all the steps involved in the two substeps here. Asking for this in half an hour is essentially testing "have you memorized implementations of various unrelated algorithms in great detail?," which doesn't seem like a good goal.

Here's a base R option -

We can split the data every 2 columns into list of dataframe and use Map to add a new column with NA in each dataframe.

This is an implementation of memoization. The dictionary will register any computed outcome so to avoid that the same work has to be done again when the function is called with the same argument.

Without memoization, the function would have looked like this:

P5.js is not meant to be used outside of the browser. However, if you must, it can technically be made to work. I've posted an example below (which you can also view and run via my Repl.it project). But beware, there is no guarantee this will work for your use case. Just getting the canvas's image data to write to a file for this example was a humungous pain, so your mileage may vary.

index.js

There is no function like static_cast in Scala, but most collections support a to<> method for the popular conversions which names the result type (so nothing to memorize). The library is also more orthogonal than C++ so more operations can be done without converting to a different type.

One difficulty is defining static_cast in a type-safe way that only allows valid conversions. Scala does not have the concept of a "copy constructor", so this would require a typeclass that define all the valid type conversions, which would require a fair bit of code.

So this is possible but (presumably) not deemed useful enough to put in the standard library.

Yes, don't use that method.

You can set a state to keep the values if they can change: