Make pipeline inference tests more focused

[SamuelBrand1]

This PR rationalises the tests in the pipeline to make it easier to identify the error in the forecast step.

Closes #474

From this branch

 function make_inference(pipeline)
        truthdata_dg_task = do_truthdata(pipeline)
        truthdata = fetch.(truthdata_dg_task)
        do_inference(truthdata[1], pipeline)
    end

        pipeline = SmoothOutbreakPipeline(; ndraws = 20, nchains = 1, testmode = true)
        inference_results_tsk = make_inference(pipeline)
        inference_results = fetch.(inference_results_tsk)

inference_results[1]["forecast_results"]
#InexactError(:Int64, Int64, 26256623853999718400)

Which focuses the issue towards wild sampling (probably due to very badly specified priors).

[github-actions]

Try this Pull Request!

Open Julia and type:

import Pkg
Pkg.activate(temp=true)
Pkg.add(url="https://github.com/CDCgov/Rt-without-renewal", rev="fix-pipeline-test", subdir="EpiAware")
using EpiAware

[codecov-commenter]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 90.02%. Comparing base (f93efeb) to head (b47309e).

Additional details and impacted files

@@                                        Coverage Diff                                        @@
##           404-upgrade-the-testmode-pipeline-script-to-just-pipeline-script     #475   +/-   ##
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  Coverage                                                             90.02%   90.02%           
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  Files                                                                    57       57           
  Lines                                                                   742      742           
=================================================================================================
  Hits                                                                    668      668           
  Misses                                                                   74       74           

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