redex | A bytecode optimizer for Android apps | Bytecode library

I have this Regex-Javascript-Code to check a password between 8 to 50 characters which contain at least one lowercase letter, one uppercase letter, one numeric digit, and one special character.

From last few days I was getting in depth How actually android studio works behind the hood.

I explored many tools like aapt, dx, dalvikvm and many others.

Now I have a very simple problem. I have a jar file (called abc.jar for example) which is about 2.7 MB and I also have a very small java code in my application.

First i compiled my source code into .class files. Then I dexed my .class files and abc.jar file into .dex file. It took about 40 to 50 secs. But i was able to run the application successfully.

dx --dex --output=classes.dex abc.jar *class_files*

Now the problem is whenever i modify my code I have to redex all the stuff (including the abc.jar) which takes years. What I now want is that Is there anyway by which i have to just dex abc.jar once and then whenever i make changes to my code i would just take the dexed version of abc.jar and add it to my source code.

Like android studio does. If you add some external libaries, at first it takes some time to dex those libaries but after that whenever you modify your code it does not have to redex all the libaries from scratch instead it just takes the pre-dexed libaries and adds them to the apk.

Thank you in advance

I have a judgement with the following contract:

This is my first time learning functional programming. I do understand how simple beta reduction works.

for example:

Let us say I have the following defined in Redex:

I have a language defined with PLT-Redex that has (dynamic) mixin types. Expressions look like the following:

Suppose I have:

• A Linear : Set type for linear λ-calculus terms.

• A reduce-once : Term → Term function that performs a global reduction of redexes.

• A size : Linear → Nat relation that counts the number of constructors.

• A proof reduce-once-halts : (t : Linear) → size (reduce-once t) < size t.

That is, I have a proof that applying reduce-once always decreases the size of a term. From that, one should logically be able to implement a terminating function, reduce : (t : Linear) → Sigma t IsNormalized, that reduces the term to normal form. Since I believe this is a common situation, my question is: how is that usually formalized in Agda? How can I convince it that a function that decreases the size of its argument can be applied recursively and will eventually halt?

mult is defined as a curried function:

Programming in Haskell by Hutton says:

An expression that has the form of a function applied to one or more arguments that can be ‘reduced’ by performing the application is called a reducible expression, or redex for short.

Is a reducible expression i.e. redex exactly

• a function application where the function is not the result of another function application,

• equivalently, a function application where the function is either a function name or a lambda expression?

Is either of the above two points an answer to my previous question at How does the outermost evaluation strategy evaluate partial application of a function and application of a curried function?