* Replace many occurrences of DAML with Daml
* Update docs logo
* A few more CLI occurrences
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- Change DAML capitalization and docs logo
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* Fix some over-eager replacements
* A few mor occurrences in md files
* Address comments in *.proto files
* Change case in comments and strings in .ts files
* Revert changes to frozen proto files
* Also revert LF 1.11
* Update get-daml.sh
* Update windows installer
* Include .py files
* Include comments in .daml files
* More instances in the assistant CLI
* some more help texts
* LF: rename library transaction-scalacheck to transaction-test-lib
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* move files in com/daml
* missing change in release/artifacts.yaml
* remove 'com/dam' from the path
* equalz Scalatest matcher in new daml-lf/scalatest-tools library
* equalz typing tests
* a 'should' replacing design
* a 'MatcherFactory1' design
- this fails because the TC parameter should be a type member to avoid
scala/bug#5075 but it is not
* MatcherFactory1 with chained Lub+Equal typeclass
- requires partial-unification at point of use, which is not great
* LubEqual's extra tparam is probably unneeded
* better LtEqual
* demonstrate that HK LubEqual's resolve with DMT should + MatcherFactory
* remove unneeded 3rd param from LubEqual, again
* update dependency specs and license headers
* allow use with should, shouldNot in some cases, preserving the shouldx/shouldNotx alternatives
* move Equalz to libs-scala/scalatest-utils
* rename bzl targets and place in com.daml.scalatest package
* add scalatest-utils to release
* move *SpecCheckLaws, Unnatural to scalatest-utils
* missed scalacheck dep in scalatest-utils
* downstreams of *SpecCheckLaws now get them from scalatest-utils
* test equal-types case as well
* update LF documentation
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* whitespace error
* Implement a simple profiler for DAML scenarios
The profiler runs a single scenario and records timing information when
each function (and some other closures) are entered and left. The
resulting information can be visualized as a flamegraph using
[speedscope](https://www.speedscope.app/).
The profiler works by instrumenting the CEK machine at the heart of
DAML Engine. Unfortunetaly, this causes a very small overhead on
non-profiling runs too. However, in my benchmarks I could not measure
any significant impact on the overall runtime at all. More precisely,
the overhead is as follows:
Every closure now has an additional field called `label`. In
non-profiling runs this field is always set to `null`. This field needs
to be allocated, copied whenever we copy a closure and scanned during
garbage collection. Additionally, whenever we enter a closure, we check
this field and whenever it is _not_ `null`, i.e. never during
non-profiling runs, we record an "open event" and set up a hook for the
corresponding "close event". Thus, the additional cost during
non-profiling runs are a single pointer comparison and a jump beyond
the "then branch".
Since this is still very much in active development, there are no
documentation, other than an entry in a README, and no tests yet. They
will come before we promote this. However, the UX will look very
different then since we already have plans to significantly change it.
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* Run scalafmt
* Make profiling argument to PureCompiledPackges optional
* Fix a bunch of tests
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* scalafmt is so annoying
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* Apply simple suggestions
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Instead of always benchmarking the hardcoded scenarios, we can now
pass a DAR and a scenario to the benchmark as well.
This is part of https://github.com/digital-asset/daml/issues/5746.
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We add a benchmark for running a sufficiently big scenario. This PR is
more about setting up the benchmarking infrastructure rather than the
actual benchmark itself.
This is part of https://github.com/digital-asset/daml/issues/5746.
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