Remove unused tuple in MultiNodeNoncausalOffsetEstimator
Boilerplate from the past, so lets just remove it.
Change-Id: Ifce3c5825f32431cf7cfa1e1a0529f5983249bd9
diff --git a/aos/network/multinode_timestamp_filter.cc b/aos/network/multinode_timestamp_filter.cc
index 4b36287..2e02eec 100644
--- a/aos/network/multinode_timestamp_filter.cc
+++ b/aos/network/multinode_timestamp_filter.cc
@@ -59,17 +59,14 @@
void MultiNodeNoncausalOffsetEstimator::Start(
SimulatedEventLoopFactory *factory) {
for (std::pair<const std::tuple<const Node *, const Node *>,
- std::tuple<message_bridge::NoncausalOffsetEstimator>> &filter :
- filters_) {
+ message_bridge::NoncausalOffsetEstimator> &filter : filters_) {
const Node *const node_a = std::get<0>(filter.first);
const Node *const node_b = std::get<1>(filter.first);
- std::get<0>(filter.second)
- .SetFirstFwdTime(
- factory->GetNodeEventLoopFactory(node_a)->monotonic_now());
- std::get<0>(filter.second)
- .SetFirstRevTime(
- factory->GetNodeEventLoopFactory(node_b)->monotonic_now());
+ filter.second.SetFirstFwdTime(
+ factory->GetNodeEventLoopFactory(node_a)->monotonic_now());
+ filter.second.SetFirstRevTime(
+ factory->GetNodeEventLoopFactory(node_b)->monotonic_now());
}
}
@@ -89,24 +86,23 @@
auto it = filters_.find(tuple);
if (it == filters_.end()) {
- auto &x =
- filters_
- .insert(std::make_pair(
- tuple, std::make_tuple(message_bridge::NoncausalOffsetEstimator(
- node_a, node_b))))
- .first->second;
+ auto &x = filters_
+ .insert(std::make_pair(
+ tuple,
+ message_bridge::NoncausalOffsetEstimator(node_a, node_b)))
+ .first->second;
if (FLAGS_timestamps_to_csv) {
- std::get<0>(x).SetFwdCsvFileName(absl::StrCat(
- "/tmp/timestamp_noncausal_", node_a->name()->string_view(), "_",
- node_b->name()->string_view()));
- std::get<0>(x).SetRevCsvFileName(absl::StrCat(
- "/tmp/timestamp_noncausal_", node_b->name()->string_view(), "_",
- node_a->name()->string_view()));
+ x.SetFwdCsvFileName(absl::StrCat("/tmp/timestamp_noncausal_",
+ node_a->name()->string_view(), "_",
+ node_b->name()->string_view()));
+ x.SetRevCsvFileName(absl::StrCat("/tmp/timestamp_noncausal_",
+ node_b->name()->string_view(), "_",
+ node_a->name()->string_view()));
}
- return &std::get<0>(x);
+ return &x;
} else {
- return &std::get<0>(it->second);
+ return &it->second;
}
}
@@ -120,10 +116,9 @@
}
for (std::pair<const std::tuple<const Node *, const Node *>,
- std::tuple<message_bridge::NoncausalOffsetEstimator>> &filter :
+ message_bridge::NoncausalOffsetEstimator> &filter :
filters_) {
- message_bridge::NoncausalOffsetEstimator *estimator =
- &std::get<0>(filter.second);
+ message_bridge::NoncausalOffsetEstimator *estimator = &filter.second;
if (estimator->a_timestamps().size() == 0 &&
estimator->b_timestamps().size() == 0) {
@@ -282,8 +277,8 @@
// Now, add the a - b -> sample elements.
size_t i = 1;
for (std::pair<const std::tuple<const Node *, const Node *>,
- std::tuple<message_bridge::NoncausalOffsetEstimator>>
- &filter : filters_) {
+ message_bridge::NoncausalOffsetEstimator> &filter :
+ filters_) {
const Node *const node_a = std::get<0>(filter.first);
const Node *const node_b = std::get<1>(filter.first);
@@ -298,12 +293,12 @@
map_matrix_(i, node_b_index) = mpq_class(1);
// -> sample
- std::get<0>(filter.second)
+ filter.second
.set_slope_pointer(&slope_matrix_(i, node_a_index));
- std::get<0>(filter.second).set_offset_pointer(&offset_matrix_(i, 0));
+ filter.second.set_offset_pointer(&offset_matrix_(i, 0));
valid_matrix_(i) = false;
- std::get<0>(filter.second).set_valid_pointer(&valid_matrix_(i));
+ filter.second.set_valid_pointer(&valid_matrix_(i));
++i;
}
diff --git a/aos/network/multinode_timestamp_filter.h b/aos/network/multinode_timestamp_filter.h
index 0954448..d5fdadd 100644
--- a/aos/network/multinode_timestamp_filter.h
+++ b/aos/network/multinode_timestamp_filter.h
@@ -85,8 +85,7 @@
// List of filters for a connection. The pointer to the first node will be
// less than the second node.
- std::map<std::tuple<const Node *, const Node *>,
- std::tuple<NoncausalOffsetEstimator>>
+ std::map<std::tuple<const Node *, const Node *>, NoncausalOffsetEstimator>
filters_;
// We have 2 types of equations to do a least squares regression over to fully