Currently Catch2 detects compilers ad-hoc, at the place where the code needs to be compiler-specific. This brings a lot of trouble with more obscure compilers, because compilers like to masquerade for different compilers, such as Clang defining GCC-version macros, ICC defining both, IBM XL self-reporting as Clang, and so on. Because compiler-specific sections of code are often indeed compiler-sp

If I create a test using a testcase source with a name "{m} (unique attribute)" and pass that test in through -testlist argument the test will not be discovered. If there is no space "{m}(unique attribute)" this works fine. The problem is in the TextRunner.MakeRunSetting when its building the prefilter list from the test list it is not trimming the sub string so the parent of the tests are not bei

In a pact-node consumer test, I have -

describe('edit a policy', () => {
    const REQUEST_BODY = {
      name: 'account-holder',
      version: '2020-07-10T01:22:09.488Z',
    };
    const RESPONSE_BODY = {
      name: Matchers.like('account-holder'),
      version: Matchers.ISO8601_DATETIME_WITH_MILLIS_FORMAT,
      additionalAttributes: Matchers.like({}),
    };
    beforeEach(

I would like to drop Spring Boot support for 1.5.x. It is EOL https://spring.io/blog/2018/07/30/spring-boot-1-x-eol-aug-1st-2019
I would also add some notes in the docs, that we adhere to the spring boot lifecycle in order to be transparent about dropping support for versions.

As part of the process of making the Pact docs more user friendly, we'd like to start writing feature documentation once, and providing code examples for each of the languages, rather than everyone having to write the same docs over and over again in each language.

The documentation for the consumer version selectors can be our first opportunity to give this approach a try. I have written the beh

Feature request

Is your feature request related to a problem? Please describe

The analysis.py script provides just one confidence interval: 95%. While that is related to the 2-sigma interval of normal distribution, so in theory allows for easy estimation of bigger confidence intervals (like 3, 4, 5-sigma), it assumes a normal distribution, which the differences don't follow, and may be