Commit a8e31211 authored by Thibault Hallouin's avatar Thibault Hallouin
Browse files

remove unnecessary internal namespace

1 merge request!3release v0.1.0
Pipeline #42786 passed with stage
in 2 minutes and 9 seconds
Showing with 23 additions and 24 deletions
+23 -24
......@@ -175,7 +175,7 @@ namespace evalhyd
);
// check that optional parameters are valid
eh::utils::check_bootstrap(bootstrap);
utils::check_bootstrap(bootstrap);
// check that data dimensions are compatible
// > time
......@@ -220,7 +220,7 @@ namespace evalhyd
for (int m = 0; m < n_msk; m++)
xt::view(c_msk, m) =
eh::masks::generate_mask_from_conditions(
masks::generate_mask_from_conditions(
m_cdt[0], xt::view(q_obs_, 0), q_prd_
);
......@@ -297,7 +297,7 @@ namespace evalhyd
"bootstrap requested but datetimes not provided"
);
exp = eh::uncertainty::bootstrap(
exp = uncertainty::bootstrap(
dts, n_samples, len_sample
);
}
......@@ -310,7 +310,7 @@ namespace evalhyd
}
// instantiate determinist evaluator
eh::determinist::Evaluator<D2, B2> evaluator(obs, prd, msk, exp);
determinist::Evaluator<D2, B2> evaluator(obs, prd, msk, exp);
// declare maps for memoisation purposes
std::unordered_map<std::string, std::vector<std::string>> elt;
......@@ -331,7 +331,7 @@ namespace evalhyd
std::vector<std::string> req_elt;
std::vector<std::string> req_dep;
eh::utils::find_requirements(metrics, elt, dep, req_elt, req_dep);
utils::find_requirements(metrics, elt, dep, req_elt, req_dep);
// pre-compute required elt
for ( const auto& element : req_elt )
......@@ -372,28 +372,28 @@ namespace evalhyd
if (std::find(req_dep.begin(), req_dep.end(), metric)
== req_dep.end())
evaluator.calc_RMSE();
r.emplace_back(eh::uncertainty::summarise(evaluator.RMSE, summary));
r.emplace_back(uncertainty::summarise(evaluator.RMSE, summary));
}
else if ( metric == "NSE" )
{
if (std::find(req_dep.begin(), req_dep.end(), metric)
== req_dep.end())
evaluator.calc_NSE();
r.emplace_back(eh::uncertainty::summarise(evaluator.NSE, summary));
r.emplace_back(uncertainty::summarise(evaluator.NSE, summary));
}
else if ( metric == "KGE" )
{
if (std::find(req_dep.begin(), req_dep.end(), metric)
== req_dep.end())
evaluator.calc_KGE();
r.emplace_back(eh::uncertainty::summarise(evaluator.KGE, summary));
r.emplace_back(uncertainty::summarise(evaluator.KGE, summary));
}
else if ( metric == "KGEPRIME" )
{
if (std::find(req_dep.begin(), req_dep.end(), metric)
== req_dep.end())
evaluator.calc_KGEPRIME();
r.emplace_back(eh::uncertainty::summarise(evaluator.KGEPRIME, summary));
r.emplace_back(uncertainty::summarise(evaluator.KGEPRIME, summary));
}
}
......
......@@ -3,6 +3,7 @@
#include <unordered_map>
#include <vector>
#include <type_traits>
#include <xtensor/xexpression.hpp>
#include <xtensor/xtensor.hpp>
......@@ -146,14 +147,14 @@ namespace evalhyd
const B4& t_msk_ = t_msk.derived_cast();
// check that the metrics to be computed are valid
eh::utils::check_metrics(
utils::check_metrics(
metrics,
{"BS", "BSS", "BS_CRD", "BS_LBD", "QS", "CRPS"}
);
// check that optional parameters are given as arguments
eh::utils::evalp::check_optionals(metrics, q_thr_);
eh::utils::check_bootstrap(bootstrap);
utils::evalp::check_optionals(metrics, q_thr_);
utils::check_bootstrap(bootstrap);
// check that data dimensions are compatible
// > time
......@@ -242,7 +243,7 @@ namespace evalhyd
std::vector<std::string> req_elt;
std::vector<std::string> req_dep;
eh::utils::find_requirements(metrics, elt, dep, req_elt, req_dep);
utils::find_requirements(metrics, elt, dep, req_elt, req_dep);
// generate masks from conditions if provided
auto gen_msk = [&]() {
......@@ -252,7 +253,7 @@ namespace evalhyd
for (int l = 0; l < n_ltm; l++)
for (int m = 0; m < n_msk; m++)
xt::view(c_msk, s, l, m) =
eh::masks::generate_mask_from_conditions(
masks::generate_mask_from_conditions(
xt::view(m_cdt, s, m),
xt::view(q_obs_, s),
xt::view(q_prd_, s, l)
......@@ -272,9 +273,7 @@ namespace evalhyd
"bootstrap requested but datetimes not provided"
);
b_exp = eh::uncertainty::bootstrap(
dts, n_samples, len_sample
);
b_exp = uncertainty::bootstrap(dts, n_samples, len_sample);
}
else
{
......@@ -307,7 +306,7 @@ namespace evalhyd
xt::view(c_msk, s, l, xt::all(), xt::all()) :
xt::view(t_msk_, s, l, xt::all(), xt::all()));
eh::probabilist::Evaluator<D2, D4, B4> evaluator(
probabilist::Evaluator<D2, D4, B4> evaluator(
q_obs_v, q_prd_v, q_thr_v, t_msk_v, b_exp
);
......@@ -347,7 +346,7 @@ namespace evalhyd
evaluator.calc_BS();
// (sites, lead times, subsets, samples, thresholds)
xt::view(r[m], s, l, xt::all(), xt::all(), xt::all()) =
eh::uncertainty::summarise(evaluator.BS, summary);
uncertainty::summarise(evaluator.BS, summary);
}
else if ( metric == "BSS" )
{
......@@ -356,7 +355,7 @@ namespace evalhyd
evaluator.calc_BSS();
// (sites, lead times, subsets, samples, thresholds)
xt::view(r[m], s, l, xt::all(), xt::all(), xt::all()) =
eh::uncertainty::summarise(evaluator.BSS, summary);
uncertainty::summarise(evaluator.BSS, summary);
}
else if ( metric == "BS_CRD" )
{
......@@ -365,7 +364,7 @@ namespace evalhyd
evaluator.calc_BS_CRD();
// (sites, lead times, subsets, samples, thresholds, components)
xt::view(r[m], s, l, xt::all(), xt::all(), xt::all(), xt::all()) =
eh::uncertainty::summarise(evaluator.BS_CRD, summary);
uncertainty::summarise(evaluator.BS_CRD, summary);
}
else if ( metric == "BS_LBD" )
{
......@@ -374,7 +373,7 @@ namespace evalhyd
evaluator.calc_BS_LBD();
// (sites, lead times, subsets, samples, thresholds, components)
xt::view(r[m], s, l, xt::all(), xt::all(), xt::all(), xt::all()) =
eh::uncertainty::summarise(evaluator.BS_LBD, summary);
uncertainty::summarise(evaluator.BS_LBD, summary);
}
else if ( metric == "QS" )
{
......@@ -383,7 +382,7 @@ namespace evalhyd
evaluator.calc_QS();
// (sites, lead times, subsets, samples, quantiles)
xt::view(r[m], s, l, xt::all(), xt::all(), xt::all()) =
eh::uncertainty::summarise(evaluator.QS, summary);
uncertainty::summarise(evaluator.QS, summary);
}
else if ( metric == "CRPS" )
{
......@@ -392,7 +391,7 @@ namespace evalhyd
evaluator.calc_CRPS();
// (sites, lead times, subsets, samples)
xt::view(r[m], s, l, xt::all(), xt::all()) =
eh::uncertainty::summarise(evaluator.CRPS, summary);
uncertainty::summarise(evaluator.CRPS, summary);
}
}
}
......
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