Eachoverlap's question in GenomicFeatures .jl

New to Julia
1 
using GenomicFeatures
using DataFrames


col = [
	Interval("chr1", 10628, 10683, '?', "abc")
	Interval("chr1", 10643, 10779, '?', "abc")
	Interval("chr1", 10645, 10748, '?', "abc")
	Interval("chr1", 10648, 10786, '?', "abc")
	Interval("chr1", 10676, 10767, '?', "abc")
	Interval("chr1", 10690, 10731, '?', "abc")
	Interval("chr1", 10707, 10793, '?', "abc")
	Interval("chr1", 10742, 10814, '?', "abc")
] |> IntervalCollection

hhh = [
	Interval("chr1", 10631, 10638)
	Interval("chr1", 10633, 10635)
	Interval("chr1", 10636, 10650)
	Interval("chr1", 10638, 10649)
	Interval("chr1", 10641, 10651)
	Interval("chr1", 10644, 10689)
	Interval("chr1", 10645, 10660)
	Interval("chr1", 10650, 10650)
] |> IntervalCollection

But I want to findoverlap with minoverlap=5.I tried like the following

function number_interval(tp::Tuple)
	# Unpack Tuple.
	(i, interval) = tp

	# Setup numbered metadata.
	new_metadata = (
		i = i,
		original = GenomicFeatures.metadata(interval)
	)

	# Create new interval with numbered metadata.
	return Interval(
		seqname(interval),
		leftposition(interval),
		rightposition(interval),
		strand(interval),
		new_metadata
	)
end

# Convert intervals.
col_numbered = col |> enumerate .|> number_interval |> IntervalCollection
hhh_numbered = hhh |> enumerate .|> number_interval |> IntervalCollection


# Reproduce example.
df = DataFrame()

for (c, h) in eachoverlap(col_numbered, hhh_numbered)

	result = (
		queryHits = GenomicFeatures.metadata(c).i, 
		subjectHits = GenomicFeatures.metadata(h).i
	)

	push!(df, result)
end

julia> df
27×2 DataFrame
 Row │ queryHits  subjectHits
     │ Int64      Int64
─────┼────────────────────────
   1 │         1            1
   2 │         1            2
   3 │         1            3
   4 │         1            4
   5 │         1            5
   6 │         1            6
   7 │         1            7
   8 │         1            8
   9 │         2            3
  10 │         2            4
  11 │         2            5
  12 │         2            6
  13 │         2            7
  14 │         2            8
  15 │         3            3

But I can not solve the problem with minoverlap=5.For example,hhh’s first line has more than 5 overlaps with col’s first ,I will output the index of col’s index and hhh’s index.hhh’s second line does not have 5 overlaps,it will not occur in the final dataframe.The function above seems to solve minoverlap=1.What should I do to solve this problem? Thank all guys for helping me!