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Morgan And Grand Iron Clojure

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최종 버전 다운로드 (.zip)

- - dotnet.yml
- - analyzer.clj
  - api.clj
  - constants.clj
  - core.clj
  - emission.clj
  - faster.clj
  - flags.clj
  - interfaces.clj
  - interop.clj
  - intrinsics.clj
  - old.clj
  - optimizations.clj
  - reference.clj
  - tests.clj
  - util.clj
- .DS_Store
- - run_test.clj
  - run_test_generative.clj
  - run_test_generative_i.clj
  - run_test_i.clj
  - test_helper.clj
.gitignore
build.clj
progress.md
project.clj
project.edn
README.md
run.clj
test.clj

// repository documentation

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# MAGIC

Morgan And Grand Iron Clojure

A functional Clojure compiler library and the start of a standalone Clojure implementation for the CLR.

For deeper analysis follow the [developer's blog](http://nas.sr/magic/).

## Status

The compiler is feature complete and can be considered beta quality software.

## Overview

MAGIC is a compiler for Clojure written in Clojure targeting the Common Language Runtime. Its goals are to:

1. Take full advantage of the CLR's features to produce better byte code
2. Leverage Clojure's functional programming and data structures to be more tunable, composeable, and maintainable

## Getting Started

To compile a clojure file or clojure project to .NET assemblies using Magic, you need [Nostrand](https://github.com/nasser/nostrand).

`Nostrand` was built using Magic and Magic is compiled using Nostrand (There is a cyclic dependency to achieve the compiler bootstrapping).

### Setup

1) Clone [Nostrand](https://github.com/nasser/nostrand)

Nostrand runs a clojure functions that will compile your files or projects.

```console
git clone https://github.com/nasser/nostrand.git
```

2) Download the latest Magic dlls from the magic project last build artifact.

Click on the last build in the `actions` tab and then click on the artifact at the bottom to download the magic assemblies.

3) Copy the previously downloaded dlls in the `references` folder of `nostrand`.

4) At the root of the nostrand project, build nostrand.
```
dotnet build
```

Nostrand uses the previously copied dll to build itself.

### Compiling

To compile with magic you can chose either dotnet (for net core) or mono (for net framework). Using `mono` is more stable at the moment. As mentioned in the `nostrand` readme, `nos` is a command that runs a function. for mono the `nos` script is in `nostrand/bin/x64/Debug/net471`. Add `nos` to your Path and just create a small bash script to access the command :

```console
mono "/Users/.../nostrand/bin/x64/Debug/net471/Nostrand.exe" "$@" 
```

You now need to create a clojure function that will compile your files and call it with nos, for more info check the [nostrand readme](https://github.com/nasser/nostrand). The clojure file with the build function can be placed at the root direcotry of your project.

- To compile clojure files

Here is an example of the build function to compile your files in the current folder.

```clojure
(ns mytasks)

(defn build []
  (binding [*compile-path* "build"]
    (compile 'loic-exos)))
```
Then you call the `build` function of the `mytasks` file with `nos`:

```console
nos mytasks/build
```
And your dll will be added in the `build` folder in the current directory.

- To compile a clojure project

If your project has dependencies or has files in different folders (src, test etc), you need to provide a `project.edn` file. It is similar to a `deps.edn` or `project.clj` so you can easily adapt the syntax.

Following, an example of a `project.edn` for a project with 2 files (one in src folder, one in test folder) and a dependency to specs.

```clojure
{:name         "loic exos"
 :source-paths ["src" "test"]
 :dependencies [[:github nasser/test.check "master"]]}
```
This `project.edn` file must be at the root of your clojure project (refer to project tree below).
You can now update your `mytasks` file :

```clojure
(ns mytasks)

(defn build []
  (binding [*compile-path* "build"]
    (compile 'loic-exos)
    (compile 'loic-exos-test)))
```

You can now compile using the same command as before :
```console
nos mytasks/build
```

The 2 dlls with be added to the `build` folder. The dependency is added to a `deps` folder. Following the project tree to help you visualise what was created.

```console
├── build
│   ├── loic_exos.clj.dll
│   └── loic_exos_test.clj.dll
├── deps
│   └── github
│       └── nasser
│           └── test.check-master
│               ├── README.md
│               └── clojure
│                   └── test
│                       ├── check
│                       │   ├── clojure_test.clj
│                       │   ├── generators.clj
│                       │   ├── properties.clj
│                       │   └── rose_tree.clj
│                       └── check.clj
├── deps.edn
├── project.edn
├── src
│   └── loic_exos.clj
└── test
    └── loic_exos_test.clj
```

_Note : If you want to recompile the files and some dlls are already present in the compile-path (`build` in our example), it won't overwrite, so always delete the `build` folder before running nos again._

Nostand allows you to run the test and provides a cli REPL.

### Testing

To run all the tests, go to your magic repo and use the command
```console
nos test/all
```

You can run tests from the REPL as well. Following an example to run the tests from the namespace `magic.test.logic` :

```clojure
$ cd path/to/magic
$ nos cli-repl
user> (require 'magic.test.logic)
nil
user> (clojure.test/run-tests 'magic.test.logic)

Testing magic.test.logic

Ran 6 tests containing 124 assertions.
0 failures, 0 errors.
{:test 6, :pass 124, :fail 0, :error 0, :type :summary}
```

### Debugging

After you made changes to a file (for instance `magic.core`), just reload the file in the REPL :

```clojure
user> (use 'magic.core :reload-all)
```

## Strategy

MAGIC consumes AST nodes from [`clojure.tools.analyzer.clr`](https://github.com/nasser/tools.analyzer.clr). It turns those AST nodes into [MAGE](https://github.com/nasser/mage) byte code to be compiled into executable MSIL. By using the existing ClojureCLR reader and building on [`clojure.tools.analyzer`](https://github.com/clojure/tools.analyzer), we avoid rewriting most of what is already a high performance, high quality code. By using MAGE, we are granted the full power of Clojure to reason about generating byte code without withholding any functionality of the CLR.

### Compilers

In MAGIC parlance, a *compiler* is a function that transforms a single AST node into MAGE byte code. Previous versions of MAGIC called these *symbolizers* but that term is no longer used. For example, a static property like [`DateTime/Now`](https://msdn.microsoft.com/en-us/library/system.datetime.now(v=vs.110).aspx) would be analyzed by [`clojure.tools.analyzer.clr`](https://github.com/nasser/tools.analyzer.clr) into a hash map with a `:property` containing the correct [`PropertyInfo`](https://msdn.microsoft.com/en-us/library/system.reflection.propertyinfo(v=vs.110).aspx) object. The compiler looks like this:

```clojure
(defn static-property-compiler
  "Symbolic bytecode for static properties"
  [{:keys [property] :as ast} compilers]
  (il/call (.GetGetMethod property)))
```

It extracts the `PropertyInfo` from the `:property` key in the AST, computes the [getter method](https://msdn.microsoft.com/en-us/library/e17dw503(v=vs.110).aspx), and returns the [MAGE byte code for a method invocation](https://msdn.microsoft.com/en-us/library/system.reflection.emit.opcodes.call(v=vs.110).aspx) of that method.

Note that this is not a side-effecting function, i.e. it does no actual byte code emission. It merely returns the *symbolic byte code* to implement the semantics of static property retrieval as pure Clojure data, and MAGE will perform the actual generation of runnable code as a final step. This makes compilers easier to write and test interactively in a REPL.

Note also that the compiler takes an additional argument `compilers`, though it makes no use of it. `compilers` is a map of keywords identifying AST node types (the `:op` key in the map `tools.analyzer` produces) to compiler functions. The basic one built into MAGIC looks like

```clojure

(def base-compilers
  {:const               #'const-compiler
   :do                  #'do-compiler
   :fn                  #'fn-compiler
   :let                 #'let-compiler
   :local               #'local-compiler
   :binding             #'binding-compiler
   ...
```

Every compiler is passed such a map, and is expected it pass it down when recursively compiling. The compiler for `(do ...)` expressions does exactly this

```clojure
(defn do-compiler
  [{:keys [statements ret]} compilers]
  [(map #(compile % compilers) statements)
   (compile ret compilers)])
```

`do` expressions analyze to hash maps containing `:statements` and `:ret` keys referring to all expressions except the last, and the last expression respectively. The `do` compiler recursively compiles all of these expression, passing its `compilers` argument to them.

Early versions of MAGIC used a multi method in place of this compiler map, but the map has several advantages. Emission can be controlled from the top level by passing in a different map. For example, compilers can be replaced:

```clojure
(binding [magic/*initial-compilers*
          (merge magic/base-compilers
                :let #'my-namespace/other-let-compiler)]
(magic/compile-fn '(fn [a] (map inc a))))
```

or updated

```clojure
(binding [magic/*initial-compilers*
          (update magic/base-compilers
                :let (fn [old-let-compiler]
                       (fn [ast compilers]
                         (if-not (condition? ast)
                           (old-let-compiler ast compilers)
                           (my-namespace/other-let-compiler ast compilers)))))]
(magic/compile-fn '(fn [a] (map inc a))))
```

Additionally, compilers can change this map *before they pass it to their children* if they need to. This can be used to tersely implement optimizations, and some Clojure semantics depend on it. `magic.core/let-compiler` implements symbol binding using this mechanism.

## Rationale and History

During the development of [Arcadia](https://github.com/arcadia-unity/Arcadia), it was found that binaries produced by the ClojureCLR compiler did not survive Unity's AOT compilation process to its more restrictive export targets, particularly iOS, WebGL, and the PlayStation. While it is understood that certain more 'dynamic' features of C# are generally not supported on these platforms, the exact cause of the failures is difficult to pinpoint. Additionally, the byte code the standard compiler generates is not as good as it can be in situations where the JVM and CLR semantics do not match up, namely value types and generics. MAGIC was built primarily to support better control over byte code, and a well reasoned approach to Arcadia export.

## Name

MAGIC stands for "Morgan And Grand Iron Clojure" (originally "Morgan And Grand IL Compiler"). It is named after the [Morgan Avenue and Grand Street intersection](https://www.google.com/maps/place/Grand+St+%26+Morgan+Ave,+Brooklyn,+NY+11237/@40.7133714,-73.9348001,17z/data=!3m1!4b1!4m2!3m1!1s0x89c25eab5ea3b021:0x77aaab63f0e3d135) in Brooklyn, the location of the [Kitchen Table Coders](http://kitchentablecoders.com/) studio where the library was developed. "Iron" is the prefix used for dynamic languages ported to the CLR (e.g. [IronPython](https://en.wikipedia.org/wiki/IronPython), [IronRuby](https://en.wikipedia.org/wiki/IronRuby)).

## Legal

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

```
http://www.apache.org/licenses/LICENSE-2.0
```

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

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