`ChannelMonitor` indirectly already has a context - the
`OnchainTxHandler` has one. This makes it trivial to remove the
existing one, so we do so for a free memory usage reduction.
It turns out `#[derive(PartialEq)]` will automatically bound the
`PartialEq` implementation by any bounds on the struct also being
`PartialEq`. This means to use an auto-derived `ChannelMonitor`
`PartialEq` the `EcdsaSigner` used must also be `PartialEq`, but
for the use-cases we have today for a `ChannelMonitor` `PartialEq`
it doesn't really matter - we use it internally in tests and
downstream users wanted similar test-only usage.
Fixes#1912.
`test_duplicate_payment_hash_one_failure_one_success` currently
fails if the "wrong" HTLC is picked to be claimed. Given the HTLCs
are identical, there's no way to figure out which we should claim.
The test instead relies on a magic value - the first one is the
right one....unless we change our CSPRNG implementation. When we
try to do so, the test randomly fails.
Here we change one HTLC to a lower amount so we can figure out
which transaction to broadcast to make the test robust against
CSPRNG changes.
FailureCode is used to specify which error code and data to send
to peers when failing back an HTLC.
ChannelManager::fail_htlc_backwards_with_reason
allows a user to specify the error code and
corresponding data to send to peers when failing back an HTLC.
This function is mentioned in Event::PaymentClaimable docs.
ChannelManager::get_htlc_fail_reason_from_failure_code was also
added to assist with this function.
It's not ideal to do all this computation while the lock is held. We also want
to decode the failure *before* taking the lock, so we can store the failed scid
in the relevant outbound for retry in the next commit(s).
Often when we call `compute_fees` we really just want it to
saturate and we deal with `u64::max_value` later. In that case,
we're much better off doing the saturating in the `compute_fees` as
it can use CMOVs rather than branching at each step and then
`unwrap_or`ing at the callsite.
Our network graph has to be iterable in a deterministic order and
with the ability to iterate over a specific range. Thus,
historically, we've used a `BTreeMap` to do the iteration. This is
fine, except our map needs to also provide high performance lookups
in order to make route-finding fast. Sadly, `BTreeMap`s are quite
slow due to the branching penalty.
Here we replace the implementation of our `IndexedMap` with a
`HashMap` to store the elements itself and a `BTreeSet` to store
the keys set in sorted order for iteration.
As of this commit on the same hardware as the above few commits,
the benchmark results are:
```
test routing::router::benches::generate_mpp_routes_with_probabilistic_scorer ... bench: 109,544,993 ns/iter (+/- 27,553,574)
test routing::router::benches::generate_mpp_routes_with_zero_penalty_scorer ... bench: 81,164,590 ns/iter (+/- 55,422,930)
test routing::router::benches::generate_routes_with_probabilistic_scorer ... bench: 34,726,569 ns/iter (+/- 9,646,345)
test routing::router::benches::generate_routes_with_zero_penalty_scorer ... bench: 22,772,355 ns/iter (+/- 9,574,418)
```
Our network graph has to be iterable in a deterministic order and
with the ability to iterate over a specific range. Thus,
historically, we've used a `BTreeMap` to do the iteration. This is
fine, except our map needs to also provide high performance lookups
in order to make route-finding fast. Sadly, `BTreeMap`s are quite
slow due to the branching penalty.
Here we replace the `BTreeMap`s in the scorer with a dummy wrapper.
In the next commit the internals thereof will be replaced with a
`HashMap`-based implementation.
As evidenced by the previous commit, it appears our A* router
does worse than a more naive approach. This isn't super surpsising,
as the A* heuristic calculation requires a map lookup, which is
relatively expensive.
```
test routing::router::benches::generate_mpp_routes_with_probabilistic_scorer ... bench: 169,991,943 ns/iter (+/- 30,838,048)
test routing::router::benches::generate_mpp_routes_with_zero_penalty_scorer ... bench: 122,144,987 ns/iter (+/- 61,708,911)
test routing::router::benches::generate_routes_with_probabilistic_scorer ... bench: 48,546,068 ns/iter (+/- 10,379,642)
test routing::router::benches::generate_routes_with_zero_penalty_scorer ... bench: 32,898,557 ns/iter (+/- 14,157,641)
```
Adds two new payment `Method`s for identifying payments with custom
`min_final_cltv_expiry_delta` as payments with LDK or user payment
hashes.
The `min_final_cltv_expiry_delta` value is packed into the first 2
bytes of the expiry timestamp in the payment secret metadata.
All utility functions for invoice construction will now also accept an
Option<>al `min_final_cltv_expiry_delta` which is useful for things like
swaps etc. The `min_final_cltv_expiry_delta` will default back to
`MIN_FINAL_CLTV_EXPIRY_DELTA` if `None` is provided.
This matches the spec and helps avoid any confusion around
naming. We're also then consistent with `cltv_expiry` in an HTLC being
the actual block height value for the CLTV and not a delta.
For std builds, Invoice::created_at can be automatically set upon
construction using SystemTime::now() offset by SystemTime::UNIX_EPOCH.
Change InvoiceRequest::respond_with and Refund::respond_with to only
take a created_at parameter in no-std builds.
Add a builder for creating invoices for a refund and required fields.
Other settings are optional and duplicative settings will override
previous settings. Building produces a semantically valid `invoice`
message for the refund, which then can be signed with the key associated
with the provided signing pubkey.
Add a builder for creating invoices for an offer from a given request
and required fields. Other settings are optional and duplicative
settings will override previous settings. Building produces a
semantically valid `invoice` message for the offer, which then can be
signed with the key associated with the offer's signing pubkey.
