Add checksums for dynamics functions

[redeboer]

ComPWA/ampform-dpd#132 implements deserialization for Lc2ppiK.json. I can't get the model to match yet, so it would be good to have an intermediate check on the dynamics functions.

@mmikhasenko could you add some checksums for the validation point in Lb2pKg.json and Lc2ppiK.json?

[mmikhasenko]

D1232_BW: 0.9851192189816919 + 7.368771683700546im
L1520_BW: 0.9987860691365062 + 4.275745929347674e-16im
L1600_BW: 2.5634585626407667 - 2.498511047573852e-15im
K892_BW: -1.3907780720661012 + 0.24088888081536192im
BlattWeisskopf_resonance_l1: 0.9138115486202572
BlattWeisskopf_resonance_l2: 0.7172636782885041
L2000_BW: 0.36358007778802165 + 3.975360709286902e-17im
D1600_BW: 0.8379622518372177 + 0.04718049804791146im
L1670_BW: 0.7429878125956567 + 1.308995543600444e-16im
BlattWeisskopf_b_decay_l1: 0.9912279006826347
L1405_Flatte: 1.3676695116556137 + 5.453150898559425e-16im
L1690_BW: 0.7027464265893806 + 1.4456550031031727e-16im
D1700_BW: 0.7373735704444893 + 0.005092865592925969im

Notebook that does it

### A Pluto.jl notebook ###
# v0.19.42

using Markdown
using InteractiveUtils

# ╔═╡ 245bddfe-1d04-11ef-2ae2-ef1e63a8a12e
# ╠═╡ show_logs = false
begin
	using Pkg: Pkg
	Pkg.activate(tempdir())
	Pkg.add([
		Pkg.PackageSpec(url="https://github.com/mmikhasenko/HadronicLineshapes.jl"),
		Pkg.PackageSpec(url="https://github.com/mmikhasenko/ThreeBodyDecaysIO.jl")
	])
	# 
	using ThreeBodyDecaysIO
	using ThreeBodyDecaysIO.ThreeBodyDecays
	using ThreeBodyDecaysIO.HadronicLineshapes
	using ThreeBodyDecaysIO.JSON
	using ThreeBodyDecaysIO.Parameters
end

# ╔═╡ 29deb2a2-f9e0-43d9-91b3-1ffaa6240063
filename = "/path_to/AmplitudeModelSerialization/models/Lc2ppiK.json"

# ╔═╡ 08bae6c1-6040-4390-8615-bc18a9a84d75
input = open(filename) do io
	JSON.parse(io)
end;

# ╔═╡ 9ae5fe51-7aaf-43b8-ad3b-6494cceb8d16
begin
	workspace = Dict{String,Any}()
	
	@unpack functions = input
	for fn in functions
	    @unpack name, type = fn
		type == "BreitWignerWidthExpLikeBugg" && continue
	    instance_type = eval(Symbol(type))
	    workspace[name] = dict2instance(instance_type, fn)
	end
end

# ╔═╡ 8d3aa585-d69b-40d4-9ea9-38c290b29faa
for k in keys(workspace)
	println(k, ": ",  workspace[k](1.5))
end

# ╔═╡ Cell order:
# ╠═245bddfe-1d04-11ef-2ae2-ef1e63a8a12e
# ╠═29deb2a2-f9e0-43d9-91b3-1ffaa6240063
# ╠═08bae6c1-6040-4390-8615-bc18a9a84d75
# ╠═9ae5fe51-7aaf-43b8-ad3b-6494cceb8d16
# ╠═8d3aa585-d69b-40d4-9ea9-38c290b29faa

[mmikhasenko]

for pKg, at sigma=3.4

❔
L1890_BW: 2.417204697341433 + 2.8639956760324514im
BlattWeisskopf_b_decay_l5: 0.9731465844805017
L1810_BW: -2.167205026003352 + 2.5231003086528014im
L1800_BW: -0.9632501958568631 + 2.25664857350167im
MomentumPower1: 3.4
L1520_BW: -0.46355244347919783 + 0.4575690662529205im
L2350_BW: 0.47114186161792027 + 0.0005572072559064473im
MomentumPower3: 39.303999999999995
BlattWeisskopf_b_decay_l2: 0.9947967049304253
L1600_BW: -0.5504262623492924 + 0.5935488940734557im
BlattWeisskopf_resonance_l1: 0.9813137496771572
L2110_BW: 1.0229596072487914 + 0.10109864421641898im
BlattWeisskopf_resonance_l2: 0.9412859645745634
L1820_BW: -2.1684546597475265 + 4.477929545657705im
BlattWeisskopf_b_decay_l4: 0.9823366286390378
BlattWeisskopf_resonance_l4: 0.7675036602366174
L1680_BW: -1.6555196910221934 + 0.17017771710551707im
L2100_BW: 0.9885812994879498 + 0.038734740638986874im
BlattWeisskopf_b_decay_l1: 0.9982743731749959
MomentumPower2: 11.559999999999999
BlattWeisskopf_resonance_l5: 0.6094653239092164
L1405_Flatte: -0.6471951617416996 + 0.18708267991827043im
L1690_BW: -1.2737676644936642 + 0.8481928515271395im
L1830_BW: -1.8043003526171761 + 4.769951073988454im
BlattWeisskopf_b_decay_l6: 0.9617756605290125
BlattWeisskopf_b_decay_l3: 0.9895126377303913
BlattWeisskopf_resonance_l3: 0.8737093369245293

[IlyaSegal]

@assert _fρ(1.1) ≈ -1.8472929896027317 + 0.6744244890043742im
@assert _ff2(1.1) ≈ 0.30305342103185806 + 0.11181942166047641im
@assert _fρ3(1.1) ≈ 0.1589433409235323 + 0.02906252876860443im
@assert _ff0_1500(1.1) ≈ 0.13756331374474612 + 0.019296000940740514im
@assert _ff0_980(1.1) ≈ -0.9212576583634419 + 2.1470398931994494im
@assert _ff0_980(0.4) ≈ 0.7246075861113888 + 0.07865591658208379im
@assert _ff0_980(0.13) ≈ 0.38814688954687493 + 0.015760515277007826im
@assert _fσ(1.1) ≈ 0.10172436035046228 + 1.0273440332286132im
@assert _fσ(0.135) ≈ (0.5840174783557608 + 0.26875840850408017im)