Metadata-Version: 2.1
Name: xdsl
Version: 0.7.1
Summary: short package description
Home-page: https://github.com/xdslproject/xdsl
Author: Mathieu Fehr
Author-email: mathieu.fehr@gmail.com
Project-URL: Bug Tracker, https://github.com/xdslproject/xdsl/issues
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE

# xDSL

## Prerequisites

To install XDSL you can either clone the Github repository and install the requirements by following:

### Clone and install
```bash
git clone https://github.com/xdslproject/xdsl.git
pip install -e .
# or for the optional requirements
# pip install -e .[extras]
```

### pip installation

```bash
pip install xdsl
```

## Testing

This project includes pytest unit test and llvm-style filecheck tests. They can
be executed using to following commands from within the root directory of the
project:

```bash
# Executes pytests which are located in tests/
pytest

# Executes filecheck tests
lit tests/filecheck
```

## Generating executables through MLIR

xDSL can generate executables using MLIR as its backend.
To benefit from this functionality, we first need to clone and build MLIR.
Please follow: https://mlir.llvm.org/getting_started/

Next, we need to have `mlir-opt`, `mlir-translate` and `clang` in the path:

```bash
# For XDSL-MLIR
export PATH=<insert-your-path>/llvm-project/build/bin:$PATH
```

Given an input file `input.xdsl`, that contains IR with only the mirrored dialects
found in `src/xdsl/dialects` (arith, builtin, cf, func, llvm, memref, and scf), run:

```bash
### Prints MLIR generic from to tmp.mlir
# e.g.  ./src/tools/xdsl_opt -t mlir -o tmp.mlir `input.xdsl`
/src/tools/xdsl-opt -t mlir -o tmp.mlir tests/filecheck/scf_ops.xdsl

mlir-opt --convert-scf-to-cf --convert-cf-to-llvm --convert-func-to-llvm --convert-arith-to-llvm --convert-memref-to-llvm --reconcile-unrealized-casts tmp.mlir | mlir-translate --mlir-to-llvmir > tmp.ll
```

The generated `tmp.ll` file contains LLVMIR, so it can be directly passed to a
compiler like clang. Notice that a `main` function is required for clang to
build. Refer to `tests/filecheck/arith_ops.test` for an example. The
functionality is tested with MLIR git commit hash:
74992f4a5bb79e2084abdef406ef2e5aa2024368


## Formatting

All python code used in xDSL uses [yapf](https://github.com/google/yapf) to
format the code in a uniform manner.

To automate the formatting within vim, one can use
https://github.com/vim-autoformat/vim-autoformat and trigger a `:Autoformat` on
save.
