* Closes#2703
* Adds [peephole
optimization](https://en.wikipedia.org/wiki/Peephole_optimization) of
Cairo assembly.
* Adds a transformation framework for the CASM IR.
* Adds `--transforms`, `--run` and `--no-print` options to the `dev casm
read` command.
* Closes#2827
* Adds an optimization phase to the JuvixReg -> Casm pipeline, which
consists of repeated copy & constant propagation and dead code
elimination.
* Types of arguments to `main` can now be field elements, numbers,
booleans and (nested) records and lists.
* Type of `main` result can now be a record of field elements, numbers
and booleans. Lists or nested records are not allowed for the result.
* Adds checks for the type of `main` in the Cairo pipeline.
* Requires updating
[juvix-cairo-vm](https://github.com/anoma/juvix-cairo-vm). The input can
be provided in a Json file via the `--program_input` option of
`juvix-cairo-vm`.
* Adds a RISC0 backend which generates Rust code that can be compiled
with the official RISC0 toolchain.
* The RISC0 backend is a wrapper around the Rust backend.
* Adds the `risc0-rust` to the `compile` CLI command, which creates a
directory containing host and guest Rust sources for the RISC0 zkVM. The
generated code can be compiled/run using `cargo` from inside the created
directory (requires having RISC0 installed:
https://dev.risczero.com/api/zkvm/install).
* Closes#2689
* Adds the command `juvix isabelle program.juvix` which translates a
given file to an Isabelle/HOL theory.
* Currently, only a single module is translated.
* By default translates types and function signatures. Translating
function signatures can be disabled with the `--only-types` option.
Blocked by:
- https://github.com/anoma/juvix/issues/2763
---------
Co-authored-by: Jonathan Cubides <jonathan.cubides@uib.no>
This pr introduces parallelism in the pipeline to gain performance. I've
included benchmarks at the end.
- Closes#2750.
# Flags:
There are two new global flags:
1. `-N / --threads`. It is used to set the number of capabilities.
According to [GHC
documentation](https://hackage.haskell.org/package/base-4.20.0.0/docs/GHC-Conc.html#v:setNumCapabilities):
_Set the number of Haskell threads that can run truly simultaneously (on
separate physical processors) at any given time_. When compiling in
parallel, we create this many worker threads. The default value is `-N
auto`, which sets `-N` to half the number of logical cores, capped at 8.
2. `--dev-show-thread-ids`. When given, the thread id is printed in the
compilation progress log. E.g.
# Parallel compilation
1. I've added `src/Parallel/ParallelTemplate.hs` which contains all the
concurrency related code. I think it is good to keep this code separated
from the actual compiler code.
2. I've added a progress log (only for the parallel driver) that outputs
a log of the compilation progress, similar to what stack/cabal do.
# Code changes:
1. I've removed the `setup` stage where we were registering
dependencies. Instead, the dependencies are registered when the
`pathResolver` is run for the first time. This way it is safer.
1. Now the `ImportTree` is needed to run the pipeline. Cycles are
detected during the construction of this tree, so I've removed `Reader
ImportParents` from the pipeline.
3. For the package pathresolver, we do not support parallelism yet (we
could add support for it in the future, but the gains will be small).
4. When `-N1`, the pipeline remains unchanged, so performance should be
the same as in the main branch (except there is a small performance
degradation due to adding the `-threaded` flag).
5. I've introduced `PipelineOptions`, which are options that are used to
pass options to the effects in the pipeline.
6. `PathResolver` constraint has been removed from the `upTo*` functions
in the pipeline due to being redundant.
7. I've added a lot of `NFData` instances. They are needed to force the
full evaluation of `Stored.ModuleInfo` in each of the threads.
2. The `Cache` effect uses
[`SharedState`](https://hackage.haskell.org/package/effectful-core-2.3.0.1/docs/Effectful-State-Static-Shared.html)
as opposed to
[`LocalState`](https://hackage.haskell.org/package/effectful-core-2.3.0.1/docs/Effectful-Writer-Static-Local.html).
Perhaps we should provide different versions.
3. I've added a `Cache` handler that accepts a setup function. The setup
is triggered when a miss is detected. It is used to lazily compile the
modules in parallel.
# Tests
1. I've adapted the smoke test suite to ignore the progress log in the
stderr.
5. I've had to adapt `tests/positive/Internal/Lambda.juvix`. Due to
laziness, a crash happening in this file was not being caught. The
problem is that in this file we have a lambda function with different
number of patterns in their clauses, which we currently do not support
(https://github.com/anoma/juvix/issues/1706).
6. I've had to comment out the definition
```
x : Box ((A : Type) → A → A) := box λ {A a := a};
```
From the test as it was causing a crash
(https://github.com/anoma/juvix/issues/2247).
# Future Work
1. It should be investigated how much performance we lose by fully
evaluating the `Stored.ModuleInfo`, since some information in it will be
discarded. It may be possible to be more fine-grained when forcing
evaluation.
8. The scanning of imports to build the import tree is sequential. Now,
we build the import tree from the entry point module and only the
modules that are imported from it are in the tree. However, we have
discussed that at some point we should make a distinction between
`juvix` _the compiler_ and `juvix` _the build tool_. When using `juvix`
as a build tool it makes sense to typecheck/compile (to stored core) all
modules in the project. When/if we do this, scanning imports in all
modules in parallel becomes trivial.
9. The implementation of the `ParallelTemplate` uses low level
primitives such as
[forkIO](https://hackage.haskell.org/package/base-4.20.0.0/docs/Control-Concurrent.html#v:forkIO).
At some point it should be refactored to use safer functions from the
[`Effectful.Concurrent.Async`](https://hackage.haskell.org/package/effectful-2.3.0.0/docs/Effectful-Concurrent-Async.html)
module.
10. The number of cores and worker threads that we spawn is determined
by the command line. Ideally, we could use to import tree to compute an
upper bound to the ideal number of cores to use.
11. We could add an animation that displays which modules are being
compiled in parallel and which have finished being compiled.
# Benchmarks
On some benchmarks, I include the GHC runtime option
[`-A`](https://downloads.haskell.org/ghc/latest/docs/users_guide/runtime_control.html#rts-flag--A%20%E2%9F%A8size%E2%9F%A9),
which sometimes makes a good impact on performance. Thanks to
@paulcadman for pointing this out. I've figured a good combination of
`-N` and `-A` through trial and error (but this oviously depends on the
cpu and juvix projects).
## Typecheck the standard library
### Clean run (88% faster than main):
```
hyperfine --warmup 1 --prepare 'juvix clean' 'juvix -N 4 typecheck Stdlib/Prelude.juvix +RTS -A33554432' 'juvix -N 4 typecheck Stdlib/Prelude.juvix' 'juvix-main typecheck Stdlib/Prelude.juvix'
Benchmark 1: juvix -N 4 typecheck Stdlib/Prelude.juvix +RTS -A33554432
Time (mean ± σ): 444.1 ms ± 6.5 ms [User: 1018.0 ms, System: 77.7 ms]
Range (min … max): 432.6 ms … 455.9 ms 10 runs
Benchmark 2: juvix -N 4 typecheck Stdlib/Prelude.juvix
Time (mean ± σ): 628.3 ms ± 23.9 ms [User: 1227.6 ms, System: 69.5 ms]
Range (min … max): 584.7 ms … 670.6 ms 10 runs
Benchmark 3: juvix-main typecheck Stdlib/Prelude.juvix
Time (mean ± σ): 835.9 ms ± 12.3 ms [User: 788.5 ms, System: 31.9 ms]
Range (min … max): 816.0 ms … 853.6 ms 10 runs
Summary
juvix -N 4 typecheck Stdlib/Prelude.juvix +RTS -A33554432 ran
1.41 ± 0.06 times faster than juvix -N 4 typecheck Stdlib/Prelude.juvix
1.88 ± 0.04 times faster than juvix-main typecheck Stdlib/Prelude.juvix
```
### Cached run (43% faster than main):
```
hyperfine --warmup 1 'juvix -N 4 typecheck Stdlib/Prelude.juvix +RTS -A33554432' 'juvix -N 4 typecheck Stdlib/Prelude.juvix' 'juvix-main typecheck Stdlib/Prelude.juvix'
Benchmark 1: juvix -N 4 typecheck Stdlib/Prelude.juvix +RTS -A33554432
Time (mean ± σ): 241.3 ms ± 7.3 ms [User: 538.6 ms, System: 101.3 ms]
Range (min … max): 231.5 ms … 251.3 ms 11 runs
Benchmark 2: juvix -N 4 typecheck Stdlib/Prelude.juvix
Time (mean ± σ): 235.1 ms ± 12.0 ms [User: 405.3 ms, System: 87.7 ms]
Range (min … max): 216.1 ms … 253.1 ms 12 runs
Benchmark 3: juvix-main typecheck Stdlib/Prelude.juvix
Time (mean ± σ): 336.7 ms ± 13.3 ms [User: 269.5 ms, System: 67.1 ms]
Range (min … max): 316.9 ms … 351.8 ms 10 runs
Summary
juvix -N 4 typecheck Stdlib/Prelude.juvix ran
1.03 ± 0.06 times faster than juvix -N 4 typecheck Stdlib/Prelude.juvix +RTS -A33554432
1.43 ± 0.09 times faster than juvix-main typecheck Stdlib/Prelude.juvix
```
## Typecheck the test suite of the containers library
At the moment this is the biggest juvix project that we have.
### Clean run (105% faster than main)
```
hyperfine --warmup 1 --prepare 'juvix clean' 'juvix -N 6 typecheck Main.juvix +RTS -A67108864' 'juvix -N 4 typecheck Main.juvix' 'juvix-main typecheck Main.juvix'
Benchmark 1: juvix -N 6 typecheck Main.juvix +RTS -A67108864
Time (mean ± σ): 1.006 s ± 0.011 s [User: 2.171 s, System: 0.162 s]
Range (min … max): 0.991 s … 1.023 s 10 runs
Benchmark 2: juvix -N 4 typecheck Main.juvix
Time (mean ± σ): 1.584 s ± 0.046 s [User: 2.934 s, System: 0.149 s]
Range (min … max): 1.535 s … 1.660 s 10 runs
Benchmark 3: juvix-main typecheck Main.juvix
Time (mean ± σ): 2.066 s ± 0.010 s [User: 1.939 s, System: 0.089 s]
Range (min … max): 2.048 s … 2.077 s 10 runs
Summary
juvix -N 6 typecheck Main.juvix +RTS -A67108864 ran
1.57 ± 0.05 times faster than juvix -N 4 typecheck Main.juvix
2.05 ± 0.03 times faster than juvix-main typecheck Main.juvix
```
### Cached run (54% faster than main)
```
hyperfine --warmup 1 'juvix -N 6 typecheck Main.juvix +RTS -A33554432' 'juvix -N 4 typecheck Main.juvix' 'juvix-main typecheck Main.juvix'
Benchmark 1: juvix -N 6 typecheck Main.juvix +RTS -A33554432
Time (mean ± σ): 551.8 ms ± 13.2 ms [User: 1419.8 ms, System: 199.4 ms]
Range (min … max): 535.2 ms … 570.6 ms 10 runs
Benchmark 2: juvix -N 4 typecheck Main.juvix
Time (mean ± σ): 636.7 ms ± 17.3 ms [User: 1006.3 ms, System: 196.3 ms]
Range (min … max): 601.6 ms … 655.3 ms 10 runs
Benchmark 3: juvix-main typecheck Main.juvix
Time (mean ± σ): 847.2 ms ± 58.9 ms [User: 710.1 ms, System: 126.5 ms]
Range (min … max): 731.1 ms … 890.0 ms 10 runs
Summary
juvix -N 6 typecheck Main.juvix +RTS -A33554432 ran
1.15 ± 0.04 times faster than juvix -N 4 typecheck Main.juvix
1.54 ± 0.11 times faster than juvix-main typecheck Main.juvix
```
* Implements code generation through Rust.
* CLI: adds two `dev` compilation targets:
1. `rust` for generating Rust code
2. `native-rust` for generating a native executable via Rust
* Adds end-to-end tests for compilation from Juvix to native executable
via Rust.
* A target for RISC0 needs to be added in a separate PR building on this
one.
* Closes#2781
* This PR only implements the Rust runtime. The Rust backend / code
generation need to be implemented in a separate PR.
* The tests are unit tests for different modules and tests with
"manually" compiled Juvix programs.
* Adds building & testing of the Rust runtime to the CI.
- Contributes to #2750
# New commands:
1. `dev import-tree scan FILE`. Scans a single file and lists all the
imports in it.
2. `dev import-tree print`. Scans all files in the package and its
dependencies. Builds an import dependency tree and prints it to stdin.
If the `--stats` flag is given, it reports the number of scanned
modules, the number of unique imports, and the length of the longest
import chain.
Example: this is the truncated output of `juvix dev import-tree print
--stats` in the `juvix-stdlib` directory.
```
[...]
Stdlib/Trait/Partial.juvix imports Stdlib/Data/String/Base.juvix
Stdlib/Trait/Partial.juvix imports Stdlib/Debug/Fail.juvix
Stdlib/Trait/Show.juvix imports Stdlib/Data/String/Base.juvix
index.juvix imports Stdlib/Cairo/Poseidon.juvix
index.juvix imports Stdlib/Data/Int/Ord.juvix
index.juvix imports Stdlib/Data/Nat/Ord.juvix
index.juvix imports Stdlib/Data/String/Ord.juvix
index.juvix imports Stdlib/Prelude.juvix
Import Tree Statistics:
=======================
• Total number of modules: 56
• Total number of edges: 193
• Height (longest chain of imports): 15
```
Bot commands support the `--scan-strategy` flag, which determines which
parser we use to scan the imports. The possible values are:
1. `flatparse`. It uses the low-level
[FlatParse](https://hackage.haskell.org/package/flatparse-0.5.1.0/docs/FlatParse-Basic.html)
parsing library. This parser is made specifically to only parse imports
and ignores the rest. So we expect this to have a much better
performance. It does not have error messages.
2. `megaparsec`. It uses the normal juvix parser and we simply collect
the imports from it.
4. `flatparse-megaparsec` (default). It uses the flatparse backend and
fallbacks to megaparsec if it fails.
# Internal changes
## Megaparsec Parser (`Concrete.FromSource`)
In order to be able to run the parser during the scanning phase, I've
adjusted some of the effects used in the parser:
1. I've removed the `NameIdGen` and `Files` constraints, which were
unused.
2. I've removed `Reader EntryPoint`. It was used to get the `ModuleId`.
Now the `ModuleId` is generated during scoping.
3. I've replaced `PathResolver` by the `TopModuleNameChecker` effect.
This new effect, as the name suggests, only checks the name of the
module (same rules as we had in the `PathResolver` before). It is also
possible to ignore the effect, which is needed if we want to use this
parser without an entrypoint.
## `PathResolver` effet refactor
1. The `WithPath` command has been removed.
2. New command `ResolvePath :: ImportScan -> PathResolver m
(PackageInfo, FileExt)`. Useful for resolving imports during scanning
phase.
3. New command `WithResolverRoot :: Path Abs Dir -> m a -> PathResolver
m a`. Useful for switching package context.
4. New command `GetPackageInfos :: PathResolver m (HashMap (Path Abs
Dir) PackageInfo)` , which returns a table with all packages. Useful to
scan all dependencies.
The `Package.PathResolver` has been refactored to be more like to normal
`PathResolver`. We've discussed with @paulcadman the possibility to try
to unify both implementations in the near future.
## Misc
1. `Package.juvix` no longer ends up in
`PackageInfo.packageRelativeFiles`.
1. I've introduced string definitions for `--`, `{-` and `-}`.
2. I've fixed a bug were `.juvix.md` was detected as an invalid
extension.
3. I've added `LazyHashMap` to the prelude. I've also added `ordSet` to
create ordered Sets, `ordMap` for ordered maps, etc.
# Benchmarks
I've profiled `juvix dev import-tree --scan-strategy [megaparsec |
flatparse] --stats` with optimization enabled.
In the images below we see that in the megaparsec case, the scanning
takes 54.8% of the total time, whereas in the flatparse case it only
takes 9.6% of the total time.
- **Megaparsec**
- **Flatparse**
## Hyperfine
```
hyperfine --warmup 1 'juvix dev import-tree print --scan-strategy flatparse --stats' 'juvix dev import-tree print --scan-strategy megaparsec --stats' --min-runs 20
Benchmark 1: juvix dev import-tree print --scan-strategy flatparse --stats
Time (mean ± σ): 82.0 ms ± 4.5 ms [User: 64.8 ms, System: 17.3 ms]
Range (min … max): 77.0 ms … 102.4 ms 37 runs
Benchmark 2: juvix dev import-tree print --scan-strategy megaparsec --stats
Time (mean ± σ): 174.1 ms ± 2.7 ms [User: 157.5 ms, System: 16.8 ms]
Range (min … max): 169.7 ms … 181.5 ms 20 runs
Summary
juvix dev import-tree print --scan-strategy flatparse --stats ran
2.12 ± 0.12 times faster than juvix dev import-tree print --scan-strategy megaparsec --stats
```
In order to compare (almost) only the parsing, I've forced the scanning
of each file to be performed 50 times (so that the cost of other parts
get swallowed). Here are the results:
```
hyperfine --warmup 1 'juvix dev import-tree print --scan-strategy flatparse --stats' 'juvix dev import-tree print --scan-strategy megaparsec --stats' --min-runs 10
Benchmark 1: juvix dev import-tree print --scan-strategy flatparse --stats
Time (mean ± σ): 189.5 ms ± 3.6 ms [User: 161.7 ms, System: 27.6 ms]
Range (min … max): 185.1 ms … 197.1 ms 15 runs
Benchmark 2: juvix dev import-tree print --scan-strategy megaparsec --stats
Time (mean ± σ): 5.113 s ± 0.023 s [User: 5.084 s, System: 0.035 s]
Range (min … max): 5.085 s … 5.148 s 10 runs
Summary
juvix dev import-tree print --scan-strategy flatparse --stats ran
26.99 ± 0.52 times faster than juvix dev import-tree print --scan-strategy megaparsec --stats
```
The judoc examples feature is currently unused. This feature was added
in https://github.com/anoma/juvix/pull/1442
Keeping support for this feature adds a cost to HTML generation. We are
removing this to improve the performance of `juvix html`.
To just render the HTML documentation we only require the scoper result
from the pipeline. To support the examples we need the type checking
result. The cost is significant in larger projects as the pipeline is
run for each import.
Part of https://github.com/anoma/juvix/issues/2744
This PR implements generic support for Cairo VM builtins. The calling
convention in the generated CASM code is changed to allow for passing
around the builtin pointers. Appropriate builtin initialization and
finalization code is added. Support for specific builtins (e.g. Poseidon
hash, range check, Elliptic Curve operation) still needs to be
implemented in separate PRs.
* Closes#2683
- refactor `--target` into subcommands for `dev tree compile`.
- prepend `App` to all `CompileTarget` constructors to avoid name
clashes with `Target`.
- parameterize compile options type with the input kind. The input kind
indicates the expected file extension of the input file. If the input
file is a .juvix file, then it is optional, otherwise it is mandatory.
- Add `AppError MegaparsecError` instance and simplify some related
code.
Implements a disassembler which converts Cairo bytecode into textual
CASM representation. Useful for debugging the Cairo backend.
* Adds the `juvix dev casm from-cairo` command
Each commit in this PR is a separate improvement.
* Tag any Term with a string instead of just cells using `@`. e.g
`"myTag" @ opCall ...`
* `:dump FILE` in the nockma REPL to dump the last REPL result to a
file.
* More tagging in the pretty nockma output.
# Changes
The main goal of this pr is to remove the `--target` flag for `juvix
compile` and use subcommands instead. The targets that are relevant to
normal users are found in `juvix compile --help`. Targets that are
relevant only to developers are found in `juvix dev compile --help`.
Below I list some of the changes in more detail.
## Compile targets for user-facing languages
- `juvix compile native`
- `juvix compile wasi`. I wasn't sure how to call this: `wasm`,
`wasm32-wasi`, etc. In the end I thought `wasi` was short and accurate,
but we can change it.
- `juvix compile vampir`
- `juvix compile anoma`
- `juvix compile cairo`
## *New* compile targets for internal languages
See `juvix dev compile --help`.
1. `dev compile core` has the same behaviour as `dev core
from-concrete`. The `dev core from-concrete` is redundant at the moment.
2. `dev compile tree` compiles to Tree and prints the InfoTable to the
output file wihout any additional checks.
3. `dev compile reg` compiles to Reg and prints the InfoTable to the
output file wihout any additional checks.
4. `dev compile asm` compiles to Asm and prints the InfoTable to the
output file wihout any additional checks.
5. 4. `dev compile casm` compiles to Asm and prints the Result to the
output file wihout any additional checks. TODO: should the Result be
printed or something else? At the moment the Result lacks a pretty
instance.
6.
## Optional input file
1. The input file for commands that expect a .juvix file as input is now
optional. If the argument is ommited, he main file given in the
package.yaml will be used. This applies to the following commands:
1. `juvix compile [native|wasi|geb|vampir|anoma|cairo]`
8. `juvix dev compile [core|reg|tree|casm|asm]`
1. `juvix html`
3. `juvix markdown`.
4. `juvix dev internal [typecheck|pretty]`.
5. `juvix dev [parse|scope]`
7. `juvix compile [native|wasi|geb|vampir|anoma|cairo]`
9. note that `juvix format` has not changed its behaviour.
## Refactor some C-like compiler flags
Both `juvix compile native` and `juvix compile wasi` support `--only-c`
(`-C`), `--only-preprocess` (`-E`), `--only-assemble` (`-S`). I propose
to deviate from the `gcc` style and instead use a flag with a single
argument:
- `--cstage [source|preprocess|assembly|exec(default)]`. I'm open to
suggestions. For now, I've kept the legacy flags but marked them as
deprecated in the help message.
## Remove code duplication
I've tried to reduce code duplication. This is sometimes in tension with
code readability so I've tried to find a good balance. I've tried to
make it so we don't have to jump to many different files to understand
what a single command is doing. I'm sure there is still room for
improvement.
## Other refactors
I've implemented other small refactors that I considered improved the
quality of the code.
## TODO/Future work
We should refactor commands (under `compile dev`) which still use
`module Commands.Extra.Compile` and remove it.
* Closes#2687
* Adds hint support in CASM. The supported hints are `Input(var)` and
`Alloc(size)`. These are the hints currently implemented in
[juvix-cairo-vm](https://github.com/anoma/juvix-cairo-vm).
* Adds the `--program_input` option to the `juvix dev casm run` command.
* Enables private inputs via `main` arguments. In generated CASM/Cairo
code, the arguments to `main` are fetched using the `Input` hint.
* Modifies the CI to use
[juvix-cairo-vm](https://github.com/anoma/juvix-cairo-vm)
* Closes#2563
Checklist
------------
- [x] Serialization of the Haskell CASM representation to the JSON
format accepted by the Cairo VM.
- [x] Add the `cairo` target to the `compile` commands.
- [x] Output via the Cairo `output` builtin.
- [x] Relativize jumps. Cairo VM doesn't actually support absolute
jumps.
- [x] Test the translation from CASM to Cairo by running the output in
the Cairo VM
- [x] Add Cairo VM to the CI
When we first implemented the Nockma backend we wrongly assumed that the
only entry point for Juvix compiled Nockma modules would be the main
function. Using this assumption we could add a setup step in the main
function that put the Anoma stdlib and compiled functions from the Juvix
module in a static place in the Nockma subject. References to the Anoma
stdlib and functions in the module could then be resolved statically.
However, one of the use cases for Juvix -> Nockma compilation is for
Anoma to run logic functions that are fields of a transaction. So the
user writes a Juvix program with main function that returns a
transaction. The result of the main function is passed to Anoma. When
Anoma calls the logic function on a field of the transaction, the setup
part of the main function is not run so the subject is not in the
required state. In fact, the logic function is not even callable by
Anoma because non-main functions in the Juvix module use a calling
convention that assumes the subject has a particular shape.
This PR solves the problem by making all functions in the Juvix module
use the Anoma calling convention. We make all compiled closures
(including, for example, the logic functions stored on resources in a
transaction) self contained, i.e they contain the functions library and
anoma standard library.
Modules that contain many closures produce large nockma output files
which slows down the evaluator. This will need to be fixed in the future
either with Nockma compression ([jam
serialization](https://developers.urbit.org/reference/hoon/stdlib/2p))
or otherwise. But it does not block the compilation and execution of
Anoma transactions.
Other fixes / additions:
* Extra tracing. You can now annotate output cells with a tag that will
be displayed in the output
* Unittests for listToTuple, appendRights helper functions
* Fixes for the nockma parser when parsing 'pretty nockma', specifically
stdlib calls, tags and functions_library atom.
* Adds `juvix dev nock run` command that can run a program output with
the `anoma` target.
* Remove the `nockma` target. As described above we always use the Anoma
calling convention so there's no need for a separate target for the
'juvix calling convention'
* Adds a `--profile` flag to `juvix dev nock run` which outputs a count
of Nockma ops used in the evaluation
* In tests we no longer serialise the compiled program to force full
evaluation of the compiled code. We added a negative test to check that
strings are not allowed in Nockma/Anoma programs,
it is output in a file `OUTPUT.profile` and has the following form:
```
quote : 15077
apply : 0
isCell : 0
suc : 0
= : 4517
if : 5086
seq : 5086
push : 0
call : 4896
replace : 1
hint : 8
scry : 0
trace : 0
```
---------
Co-authored-by: Jan Mas Rovira <janmasrovira@gmail.com>
The following benchmark compares juvix 0.6.0 with polysemy and a new
version (implemented in this pr) which replaces polysemy by effectful.
# Typecheck standard library without caching
```
hyperfine --warmup 2 --prepare 'juvix-polysemy clean' 'juvix-polysemy typecheck Stdlib/Prelude.juvix' 'juvix-effectful typecheck Stdlib/Prelude.juvix'
Benchmark 1: juvix-polysemy typecheck Stdlib/Prelude.juvix
Time (mean ± σ): 3.924 s ± 0.143 s [User: 3.787 s, System: 0.084 s]
Range (min … max): 3.649 s … 4.142 s 10 runs
Benchmark 2: juvix-effectful typecheck Stdlib/Prelude.juvix
Time (mean ± σ): 2.558 s ± 0.074 s [User: 2.430 s, System: 0.084 s]
Range (min … max): 2.403 s … 2.646 s 10 runs
Summary
juvix-effectful typecheck Stdlib/Prelude.juvix ran
1.53 ± 0.07 times faster than juvix-polysemy typecheck Stdlib/Prelude.juvix
```
# Typecheck standard library with caching
```
hyperfine --warmup 1 'juvix-effectful typecheck Stdlib/Prelude.juvix' 'juvix-polysemy typecheck Stdlib/Prelude.juvix' --min-runs 20
Benchmark 1: juvix-effectful typecheck Stdlib/Prelude.juvix
Time (mean ± σ): 1.194 s ± 0.068 s [User: 0.979 s, System: 0.211 s]
Range (min … max): 1.113 s … 1.307 s 20 runs
Benchmark 2: juvix-polysemy typecheck Stdlib/Prelude.juvix
Time (mean ± σ): 1.237 s ± 0.083 s [User: 0.997 s, System: 0.231 s]
Range (min … max): 1.061 s … 1.476 s 20 runs
Summary
juvix-effectful typecheck Stdlib/Prelude.juvix ran
1.04 ± 0.09 times faster than juvix-polysemy typecheck Stdlib/Prelude.juvix
```
* Closes#2562
Checklist
---------
- [x] Translation from JuvixReg to CASM
- [x] CASM runtime
- [x] Juvix to CASM pipeline: combine the right transformations and
check prerequisites
- [x] CLI commands: add target `casm` to the `compile` commands
- [x] Tests:
- [x] Test the translation from JuvixReg to CASM
- [x] Test the entire pipeline from Juvix to CASM
This PR adds some flags to tune the (html/md) output.
For Markdown subcommand:
```
--strip-prefix ARG Strip the given prefix from the input file path for
HTML hyperlinks
--folder-structure Generate HTML following the module's folder structure
```
For HTML subcommand, we have the ones above plus the following:
```
--ext ARG File extension in hyperlinks for the input file
(default: ".html")
```
* Closes#2571
* It is reasonable to finish this PR before tackling #2562, because the
field element type is the primary data type in Cairo.
* Depends on #2653
Checklist
---------
- [x] Add field type and operations to intermediate representations
(JuvixCore, JuvixTree, JuvixAsm, JuvixReg).
- [x] Add CLI option to choose field size.
- [x] Add frontend field builtins.
- [x] Automatic conversion of integer literals to field elements.
- [x] Juvix standard library support for fields.
- [x] Check if field size matches when loading a stored module.
- [x] Update the Cairo Assembly (CASM) interpreter to use the field type
instead of integer type.
- [x] Add field type to VampIR backend.
- [x] Tests
---------
Co-authored-by: Jan Mas Rovira <janmasrovira@gmail.com>
Builtin information needs to be propagated from stored modules to REPL
artifacts to avoid "The builtin _ has not been defined" errors.
This PR adds a test suite for the REPL in the Haskell test code. This
means some of the slow smoke tests can be moved to fast haskell unit
tests. In future we should refactor the REPL code by putting in the main
src target and unit testing more features (e.g :doc, :def).
* Closes https://github.com/anoma/juvix/issues/2638
This PR adds a `anoma` target to the `juvix compile`. This target
compiles a Juvix `main` function to a Nockma/Anoma "function". Unlike
the native, wasm, and nockma targets the main function may have any type
signature.
## Anoma calling convention
[Anoma calls
functions](6a4e15fe9c/lib/anoma/resource.ex (L122))
by evaluating the formula `[call L replace [RL args] @ S]` against a
subject equal to the function. Here `args` is a Nockma term that
evaluates to a tuple of arguments that should be passed to the function.
The anoma target compiles the `main` function to Nockma in the same way
as the nockma target. The main function is then
[wrapped](9a658465ae/src/Juvix/Compiler/Nockma/Translation/FromTree.hs (L627))
to make it compatible with the Anoma calling convention.
## Testing
The anoma calling convention is [unit
tested](9a658465ae/test/Nockma/Eval/Positive.hs (L117))
and [smoke
tested](9a658465ae/tests/smoke/Commands/compile.smoke.yaml (L159)).
This PR also adds versions of the end-to-end compilation tests. Most
tests are included, tests for builtin IO operations and string builtins
are omitted. Other tests that use Strings have been adapted to use other
types that are compatible with this backend.
## Nockma REPL
To facilitate testing the Nockma REPL can now load a nockma file as an
initial subject.
---------
Co-authored-by: Lukasz Czajka <lukasz@heliax.dev>
Now the prelude exports this function:
```
readFile :: (MonadIO m) => Path Abs File -> m Text
readFile = liftIO . Utf8.readFile . toFilePath
```
It is more convenient to use because it uses typed `Path` and works in
any `MonadIO`.
* Implements JuvixReg recursors, which will allow to implement JuvixReg
transformations more succinctly and effectively.
* Adds a transformation framework to JuvixReg.
* Adds identity transformation tests.
* Depends on #2635
- ⚠️ Depends on #2644
The `effectful` library does not support the `Embed` effect out of the
box. However, it offers `IOE`, which is equivalent to `Embed IO` from
polysemy. In preparation to a possible migration to `effectful`, this pr
hides the general `Embed` effect from the prelude and it exports a
specialized `EmbedIO` in its place.
Since we upgraded to ghc-9.8.1 and dropped the dependency on
[with-utf8](https://hackage.haskell.org/package/with-utf8), the function
`writeFileEnsureLn` no longer has the constraint `MonadMask m`, so the
`embed @IO` has become redundant
* Closes#2578
* Implements JuvixReg parser and pretty printer.
* Adds the `juvix dev reg read file.jvr` command.
* Adds the `reg` target to the `compile` commands.
* Adds tests for the JuvixReg parser.
This allows us to do `juvix dev tree compile --target nockma test.jvt`.
The pipeline was already implemented, this pr only adds the
`TargetNockma` to the list of supported backends so that the cli
recognizes it.
This pr implements two additional versions of the Juvix Tree evaluator.
Now we have
1. The raw implementation that does not use effects. It throws Haskell
exceptions for errors. It uses `unsafePerformIO` for traces. It relies
on bang patterns to force strictness and guarantee the expected order of
execution (for traces). Avoiding effects allows for improved execution
efficiency.
2. [`polysemy`](https://hackage.haskell.org/package/polysemy-1.9.1.3)
based implementation.
3.
[`effectful-core`](https://hackage.haskell.org/package/effectful-core)
based implementation.
One can specify which evaluator to use thus:
```
juvix dev tree eval --evaluator XXX test.jvt
```
where XXX is one of `raw`, `polysemy`, `effectful`.
# Preliminary benchmarks
More thorough benchmarks should be run, but here are some preliminary
results:
## Test032 (Fibonacci 20)
I've adapted test032 so that it main is a single call to fibonacci of
20.
Command:
```
hyperfine --warmup 2 --runs 10 'juvix dev tree eval test032.jvt --evaluator polysemy' 'juvix dev tree eval test032.jvt --evaluator raw' 'juvix dev tree eval test032.jvt --evaluator e
ffectful'
```
Output:
```
Benchmark 1: juvix dev tree eval test032.jvt --evaluator polysemy
Time (mean ± σ): 2.133 s ± 0.040 s [User: 2.113 s, System: 0.016 s]
Range (min … max): 2.088 s … 2.227 s 10 runs
Benchmark 2: juvix dev tree eval test032.jvt --evaluator raw
Time (mean ± σ): 308.7 ms ± 13.8 ms [User: 293.6 ms, System: 14.1 ms]
Range (min … max): 286.5 ms … 330.1 ms 10 runs
Benchmark 3: juvix dev tree eval test032.jvt --evaluator effectful
Time (mean ± σ): 366.0 ms ± 2.8 ms [User: 345.4 ms, System: 19.4 ms]
Range (min … max): 362.5 ms … 372.6 ms 10 runs
Summary
juvix dev tree eval test032.jvt --evaluator raw ran
1.19 ± 0.05 times faster than juvix dev tree eval test032.jvt --evaluator effectful
6.91 ± 0.34 times faster than juvix dev tree eval test032.jvt --evaluator polysemy
```
## Test034 (Higher-order function composition)
A modified version of test034 where main defined as `call[exp](3, 12)`
Command:
```
hyperfine --warmup 2 --runs 10 'juvix dev tree eval test034.jvt --evaluator polysemy' 'juvix dev tree eval test034.jvt --evaluator raw' 'juvix dev tree eval test034.jvt --evaluator effectful'
```
Output:
```
Benchmark 1: juvix dev tree eval test034.jvt --evaluator polysemy
Time (mean ± σ): 7.025 s ± 0.184 s [User: 6.518 s, System: 0.469 s]
Range (min … max): 6.866 s … 7.327 s 10 runs
Benchmark 2: juvix dev tree eval test034.jvt --evaluator raw
Time (mean ± σ): 835.6 ms ± 7.4 ms [User: 757.2 ms, System: 75.9 ms]
Range (min … max): 824.7 ms … 847.4 ms 10 runs
Benchmark 3: juvix dev tree eval test034.jvt --evaluator effectful
Time (mean ± σ): 1.578 s ± 0.010 s [User: 1.427 s, System: 0.143 s]
Range (min … max): 1.563 s … 1.595 s 10 runs
Summary
juvix dev tree eval test034.jvt --evaluator raw ran
1.89 ± 0.02 times faster than juvix dev tree eval test034.jvt --evaluator effectful
8.41 ± 0.23 times faster than juvix dev tree eval test034.jvt --evaluator polysemy
```
## Test036 (Streams without memoization)
A modified version of test036 where main defined as `call[nth](700,
call[primes]())`
Command:
```
hyperfine --warmup 2 --runs 5 'juvix dev tree eval test036.jvt --evaluator polysemy' 'juvix dev tree eval test036.jvt --evaluator raw' 'juvix dev tree eval test036.jvt --evaluator effectful'
```
Output:
```
Benchmark 1: juvix dev tree eval test036.jvt --evaluator polysemy
Time (mean ± σ): 1.993 s ± 0.026 s [User: 1.946 s, System: 0.043 s]
Range (min … max): 1.969 s … 2.023 s 5 runs
Benchmark 2: juvix dev tree eval test036.jvt --evaluator raw
Time (mean ± σ): 137.5 ms ± 7.1 ms [User: 127.5 ms, System: 8.9 ms]
Range (min … max): 132.8 ms … 149.8 ms 5 runs
Benchmark 3: juvix dev tree eval test036.jvt --evaluator effectful
Time (mean ± σ): 329.0 ms ± 7.3 ms [User: 289.3 ms, System: 37.4 ms]
Range (min … max): 319.9 ms … 336.0 ms 5 runs
Summary
juvix dev tree eval test036.jvt --evaluator raw ran
2.39 ± 0.13 times faster than juvix dev tree eval test036.jvt --evaluator effectful
14.50 ± 0.77 times faster than juvix dev tree eval test036.jvt --evaluator polysemy
```
This PR updates the stackage LTS resolver to `nightly-2024-02-06` which
uses GHC 9.8.1
## Upgrade notes
You will need to update your HLS to
[2.6.0.0](https://github.com/haskell/haskell-language-server/releases/tag/2.6.0.0),
this release contains support for GHC 9.8.1
## Fixes
### `haskeline` / `repline`
We have removed the custom haskeline / repline forks used in the build.
This is because we had trouble overriding haskeline as it is bundled
with GHC and the stackage resolver uses this bundled version. We were
using a custom fork of haskeline to implement
[mapInputT_](15c0685c91/app/Commands/Repl.hs (L409))
in the Juvix REPL, required to implement error handling. This requires
private API from the Haskeline library.
Instead of using a custom fork we use TemplateHaskell to obtain access
to the private API we need. See
[DarkArts.hs](15c0685c91/src/Juvix/Prelude/DarkArts.hs)
and
[HaskelineJB.hs](15c0685c91/app/HaskelineJH.hs).
To obtain access to the private API, we adapted a method from [a Tweag
blogpost](https://www.tweag.io/blog/2021-01-07-haskell-dark-arts-part-i/)
and [repo](https://github.com/tweag/th-jailbreak) - updating it for GHC
9.8.1.
### `aeson-better-errors`
The `aeson-better-errors` library has not been updated to work with
`mtl-2.3.0` so it cannot work with the new stackage resolver. We are
using a [fork](https://github.com/Vekhir/aeson-better-errors.git) which
has been updated.
We should consider replacing this library in future, see
https://github.com/anoma/juvix/issues/2621
### `path`
The `path` library now includes API `splitDrive` and `dropDrive` so we
can remove our versions of those functions from the prelude.
### `with-utf8`
We no longer need to depend on `with-utf8`. We were using this package
for UTF-8 versions of `readFile` and `writeFile` APIs. These APIs are
now available in the `text` package.
### Compiler warnings
GHC 9.8.1 introduces several new compiler warnings.
* We have suppressed `missing-role-annotations` and
`missing-poly-kind-signatures`
* We added our own versions of `head` and `tail` to work around the new
`partial-tx` warning introduced for those functions in `Data.List`.
* We fixed up the code to avoid the
[term-variable-capture](https://ghc.gitlab.haskell.org/ghc/doc/users_guide/using-warnings.html#ghc-flag--Wterm-variable-capture)
warning.
This PR replaces the JuvixAsm -> Nockma translation with a JuvixTree ->
Nockma translation.
We can now enable some of the JuvixTree tests that did not work with
JuvixAsm->Nockma because they were too slow.
## Notes
We have changed [test031: temp stack with
branching](22ee87f0e7/tests/Tree/positive/test031.jvt)
to avoid using negative numbers (because negative integers are not
supported in Nockma).
Three tree tests trace/output lists. Lists are serialised differently by
the asm and nockma pretty printers so they cannot share a single test
output file. We have created separate nockma output files for these
tests (see eg.
[test028.nockma.out](22ee87f0e7/tests/Tree/positive/out/test028.nockma.out)).
* Closes https://github.com/anoma/juvix/issues/2606
---------
Co-authored-by: Paul Cadman <git@paulcadman.dev>
Co-authored-by: Lukasz Czajka <lukasz@heliax.dev>
* Adds the `--transforms`, `--eval` and `--no-print` options to the
`juvix dev tree read` command.
* Depends on #2598
* Depends on #2597
* Depends on #2596
* Depends on #2595
* Depends on #2594
* Depends on #2590
Now we guarantee that whenever we write a file there is a newline
character at the end, which is a [Unix
convention](https://pubs.opengroup.org/onlinepubs/009695399/basedefs/xbd_chap03.html#tag_03_205).
The juvix prelude now exports `writeFileEnsureLn` and it no longer
exports `writeFile`. If at some point we need the behaviour of
`writeFile` I'd suggest that we export it renamed as `writeFileVerbatim`
or something similar.
* Moves the "apply" transformation from JuivxAsm to JuvixTree. This
transformation removes the `CallClosures` nodes.
* Makes Nockma compilation tests use JuvixTree instead of JuvixAsm
files.
* Depends on #2594
* Depends on #2590
* Depends on #2589
* Depends on #2587
