Its intent was to show which headers are expected to be useable by
Catch2's users, and to enforce their inclusion in the single header
distribution at the right place.
Given the new library model, the second use case is not needed and
the first one is better served with documentation and physical file
layout.
Now that Catch2 is a proper library, we can always build the full
library (comparatively minor slowdown) and the user can avoid
including benchmarking headers to avoid the compilation slowdown.
When running tests in parallel, CTest runs the tests in decreasing
order of cost (time required), to get the largest speed up from
parallelism. However, the initial cost estimates for all tests are
0, and they are only updated after a test run. This works on a dev
machine, where the tests are ran over and over again, because
eventually the estimates become quite precise, but CI always does
a clean build with 0 estimates.
Because we have 2 slow tests, we want them to run first to avoid
losing parallelism. To do this, we provide them with a cost estimate
manually.
Previously, we would collect coverage data for all source files in
Catch2's directory, including tests and examples, and we would then
ask codecov.io to ignore those. With this change, OpenCppCoverage
only collects coverage data for source files in the `src/` directory.
This cuts the size of the coverage report in half, and also speeds
up the coverage collection.
The use we previously used the polyfill or naked new is that we
supported C++11, which did not yet have `std::make_unique`. However,
with the move to C++14 as the minimum, `std::make_unique` can be
expected to be always available.
Because some of the tooling used by Catch2 does not properly support
version postfixes, such as `preview-1`, we will report the
in-development version is `v3.0.0`, and the first real release will
have to be `v3.0.1`.
Closes#1824
Now that the recommended distribution and usage method is proper
library, users can just avoid including the matcher headers to get
basically the same effect.
