ignorefpc=true doesn't seem to work for SimpleRandomSample

[iuliadmtru]

For SimpleRandomSample setting ignorefpc=true should result in fpc being equal to 1.0, since we allow fpc to be of type Float64. But this doesn't happen:

julia> srs_ignorefpc = SimpleRandomSample(apisrs; popsize = :fpc, ignorefpc = true)
┌ Warning: assuming all weights are equal to 1.0
└ @ Survey ~/Work/xKDR/Survey.jl/src/SurveyDesign.jl:162
SimpleRandomSample:
data: 200x42 DataFrame
weights: 1.0, 1.0, 1.0, ..., 1.0
probs: 1.0, 1.0, 1.0, ..., 1.0
fpc: 6194, 6194, 6194, ..., 6194
popsize: 6194
sampsize: 200
sampfraction: 0.0323
ignorefpc: true

For StratifiedSample the same code looks ok:

julia> strat_ignorefpc = StratifiedSample(apistrat, :stype; popsize = :fpc, ignorefpc = true)
┌ Warning: assuming all weights are equal to 1.0
└ @ Survey ~/Work/xKDR/Survey.jl/src/SurveyDesign.jl:360
StratifiedSample:
data: 200x45 DataFrame
strata: stype
weights: 1.0, 1.0, 1.0, ..., 1.0
probs: 1.0, 1.0, 1.0, ..., 1.0
fpc: 1, 1, 1, ..., 1
popsize: 4421, 4421, 4421, ..., 755
sampsize: 100, 100, 100, ..., 50
sampfraction: 0.0226, 0.0226, 0.0226, ..., 0.0662
ignorefpc: true

(there's also extra information that shouldn't be there, I mentioned this in issue #111.)

[smishr]

this means that the if condition that set fpc=1 is not being hit correctly for SimpleRandomSample

[iuliadmtru]

This might be related to issue #93.

[smishr]

we have changed designs too much for this issue to be open