mf | Mf - Modifier functions | Functional Programming library

If you take a look at the intl-tel-input documentation regarding Initialisation Options. There is an option called excludeCountries.

We can modify your initialisation code to include this option to exclude China:

I don't know the EAR artifact and Java, but as per Docker Docs, the ADD command can extract .tar.gz files but not .ear file format, so I think it's better to have a Dockerfile like this (see here for extract):

In the DirectX Tool Kit wiki, I have a DebugDraw helper which is specifically designed for drawing DirectXMath bounding volumes using DirectX Tool Kit's PrimitiveBatch.

See this topic page.

You may also want to take a look at the Collision sample.

I believe clang on most Linux distributions links with GNU libstdc++, whose support does indeed require libtbb. This is buried in the documentation, search for "Note 3". So you will have to install libtbb and add -ltbb to your link command.

It seems to require a file extension after the font name, which it didn't in the past.

I changed a line in the template to include .otf

I question the following assumption:

This didn't work. It is clear that the compiler is optimising-out much of the code related to z completely! The code then fails to function properly (running far too fast), and the size of the compiled binary drops to about 50% or so.

Looking at https://gcc.godbolt.org/z/sKdz3h8oP, it seems like the loops are actually being performed, however, for whatever reason each z++, when using a global volatile z goes from:

A few points:

1. Don't mix up numpy and sympy like this unless you know exactly what you are doing. There is no need to use numpy at all here so use e.g. sym.eye(2) and sym.conjugate(val)

2. Don't use floats unless you have a good reason - use sym.I instead of 1j. Using numpy can potentially introduce floats so don't do that unless you know what you are doing.

3. Although eigenvals returns a dict in this case you only care about the values of the dict so you can just do list(M.eigenvals()).

4. Although you declare all symbols as real you are using sqrt(u) which is real only if u is positive. Unless you intend for sqrt(u) to be potentially imaginary then u should be declared as positive.

With the above changes your code looks like this:

Sketch.cpp is compiled as as C++, including test.h. In order to support function overloading, class membership etc, C++ uses name mangling to encode these C++ features in the symbol name. As such the symbol name for some_test in Sketch.cpp is not the same as that in test.c which is compiled as C and no name mabgling is applied..

The solution is to prevent name mangling for this symbol when the header is C++ compiled by specifying that the symbol has C linkage:

Apparently, my code wasn't wrong, but I was making and testing changes so quickly that I was making updates faster than Java WebStart could check for them.

This is because of the update policy I had above -- If you have as a setting in your .jnlp, you are telling Java WebStart to download the newest files lazily. This means that if you jump back and forth between different solutions rapidly, Java WebStart may literally be too slow to keep up, and have an out of date version by the time the old one finally comes in.

There are 1 of 2 solutions to choose from.

• Change the update policy for TestClass.jnlp.

  • If you want Java WebStart to wait until all updates have downloaded before trying to run your application, you should change your update policy to be something like this - . This way, you can guarantee that your jnlp is pulling the most recent files.

• Use javaws -uninstall before each run of your application

  • This command clears the cache, so that your program needs to be redownloaded fresh. This is effectively the same result as the above bullet, but this allows you to keep your .jnlp file with the preferred settings. Plus, you don't have to keep switching it back and forth as you debug any settings. Simply clear the cache and test.