tsa_saxs/Utils.jl

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module Utils
import TOML: parsefile
import DelimitedFiles: readdlm
import DSP
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import Printf: @sprintf
import Crayons as C
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const BYELLOW = C.Crayon(foreground=:yellow, bold=true)
const BRED = C.Crayon(foreground=:light_red, bold=true)
const RESET = C.Crayon(reset=true)
function get_free_parameters_idx(metadata::Dict)
m = metadata["parameters"]
return filter(i -> !m[i]["fixed"], eachindex(m))
end
function reduce_to_free_parameters(metadata::Dict, f::Function, params_init::NamedTuple, lb, ub, q)
default_params = Float64[params_init...]
free_idx = get_free_parameters_idx(metadata)
P_reduced = view(default_params, free_idx)
lb_reduced = lb[free_idx]
ub_reduced = ub[free_idx]
function f_reduced(P::AbstractArray{Float64})
P_reduced .= P
return f(default_params, q)
end
return f_reduced, P_reduced, lb_reduced, ub_reduced
end
function reduce_to_free_parameters(metadata::Dict, params::Vector{Float64})
free_idx = get_free_parameters_idx(metadata)
return params[free_idx]
end
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function load_init_params(filename::String)
meta = parsefile(filename)["metadata"]
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free_idc = get_free_parameters_idx(meta)
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param_names = [p["symbol"] for p in meta["parameters"]]
param_initial = [p["initial_value"] for p in meta["parameters"]]
params = NamedTuple{Tuple(map(Symbol, param_names))}(param_initial)
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lower_bounds = [p["min"] for p in meta["parameters"]]
upper_bounds = [p["max"] for p in meta["parameters"]]
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free_idx = 1
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println("Got $(length(param_names)) parameters:")
for (i, k) in enumerate(eachindex(param_names))
lb_str = @sprintf "%.3g" lower_bounds[i]
ub_str = @sprintf "%.3g" upper_bounds[i]
p = @sprintf "%.3g" param_initial[i]
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if i in free_idc
free_idx_str = "$(lpad(free_idx, 2))"
free_idx += 1
else
free_idx_str = " "
end
println("[", BYELLOW, free_idx_str, RESET, "/$(lpad(i, 2))] $(lpad(param_names[i], 7)): $(lpad(lb_str, 7)) <= $(lpad(p, 7)) <= $(lpad(ub_str, 7)) ")
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end
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return (meta=meta, params=params, lower_bounds=lower_bounds, upper_bounds=upper_bounds)
end
function select_columns(QIE_array, qmin, qmax, bin, err_mul)
#""Select q / I(q) / err(q) data - Change I(q) value from mm^-1 to nm^-1'
Q = Float64[]
IDATA = Float64[]
ERR = Float64[]
for i in axes(QIE_array, 1)
# keep only the values of q within bounds
if qmin <= QIE_array[i, 1] <= qmax
# skip all but the (k*bin)-th values
if i % bin == 0
if QIE_array[i, 2] > 0
push!(Q, QIE_array[i, 1])
push!(IDATA, 1e-6 * QIE_array[i, 2])
if err_mul == 0
push!(ERR, 0.01 * 1e-6 * QIE_array[i, 2])
elseif QIE_array[i, 3] * err_mul > 0.01 * QIE_array[i, 2]
push!(ERR, 1e-6 * QIE_array[i, 3] * err_mul)
else
push!(ERR, 0.01 * 1e-6 * QIE_array[i, 2])
end
end
end
end
end
return (Q, IDATA, ERR)
end
"""
compute_logscale_weights(q)
Compute the weights W, which are proportional to the distance in the log space
"""
function compute_logscale_weights(q)
diff_log_q = diff(log10.(q))
left_diff_log_q = view(diff_log_q, [firstindex(diff_log_q); eachindex(diff_log_q)])
right_diff_log_q = view(diff_log_q, [eachindex(diff_log_q); lastindex(diff_log_q)])
return left_diff_log_q + right_diff_log_q
end
function load_config(filename::String)
meta, params_init, lower_bounds, upper_bounds = load_init_params(filename)
f = open(meta["data_file"], "r")
qie_data = readdlm(f, '\t')
close(f)
return (meta=meta,
params_init=params_init,
lower_bounds=lower_bounds,
upper_bounds=upper_bounds,
qie_deta=qie_data)
end
function lowpass_filter(i; σ=1)
half_w = 10
x = range(-5, 5; length=2half_w + 1)
i_padded = view(i, [fill(firstindex(i), half_w); eachindex(i); fill(lastindex(i), half_w)])
k = exp.(-0.5 * ((x / σ) .^ 2)) / (2 * σ * sqrt(2π))
k ./= sum(k)
r = DSP.conv(i_padded, k)[2half_w+1:end-2half_w]
return r
end
function residuals(I_data, I_model, err)
return (I_data .- I_model ./ err) .^ 2
end
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function chi2(I_data, I_model, err)
return sum((I_data .- I_model ./ err) .^ 2)
end
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function add_log_barriers(f::Function, constraints::Vector{Tuple{T,T}}; padding_factors=0.1, mode::Symbol=:outer) where {T<:Real}
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n = length(constraints)
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@assert mode in [:outer, :inner]
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lower_shifts = Float64[]
upper_shifts = Float64[]
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pf = if padding_factors isa Vector
padding_factors
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else
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fill(padding_factors, n)
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end
k = 0
barrier_widths = map(constraints) do (lower, upper)
k += 1
if upper <= lower
throw("admissible set is empty, check constraints")
end
if isfinite(lower)
push!(lower_shifts, lower)
if isfinite(upper)
push!(upper_shifts, upper)
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return pf[k] * (upper - lower)
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else
push!(upper_shifts, Inf)
return 1.0
end
else
push!(lower_shifts, -Inf)
if isfinite(upper)
push!(upper_shifts, upper)
return 1.0
else
push!(upper_shifts, Inf)
return 1.0
end
end
end
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barrier_sign = mode == :outer ? 1.0 : -1.0
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function std_lower_barrier(s::Float64)
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return max(-log(s + barrier_sign), 0.0)^2
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end
function barrier(x::Vector{Float64})
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lb = (x .- lower_shifts) ./ barrier_widths
ub = (upper_shifts .- x) ./ barrier_widths
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lb_violations = findall(<=(-barrier_sign), lb)
ub_violations = findall(<=(-barrier_sign), ub)
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if !isempty(lb_violations)
err_msg = ""
for i in lb_violations
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err_msg *= "\n · x[$i] = $(x[i]) < $(constraints[i][1]), width = $(barrier_widths[i])"
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end
@error err_msg
throw("lower bound violation for indice(s) $(lb_violations)")
end
if !isempty(ub_violations)
err_msg = ""
for i in ub_violations
err_msg *= " · x[$i] = $(x[i]) > $(constraints[i][2]), width = $(barrier_widths[i])"
end
@error err_msg
throw("upper bound violation for indice(s) $(ub_violations)")
end
v = sum(std_lower_barrier.(lb) + std_lower_barrier.(ub))
return v
end
return x::Vector{Float64} -> f(x) .+ barrier(x)
end
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function print_check_bounds(param_names, param_values, lb, ub)
for (i, v) in enumerate(param_values)
lb_str = @sprintf "%.3g" lb[i]
ub_str = @sprintf "%.3g" ub[i]
p = @sprintf "%.3g" v
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crayon = if lb[i] <= v <= ub[i]
RESET
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else
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BRED
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end
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println("$(lpad(param_names[i], 7)): ", crayon, "$(lpad(lb_str, 7)) <= $(lpad(p, 7)) <= $(lpad(ub_str, 7)) ")
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end
end
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end # module Utils