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48a2bfa57a
* Add Cython fixes (decorator arguments, pyvars support) * Update CI and README * Fix problematic test * Don't track Cython-generated cpp file [ci skip] * Fix test * Various codon.jit improvements * clang-format [ci skip] * Add docs [ci skip] * Add docs link Co-authored-by: A. R. Shajii <ars@ars.me>
126 lines
3.2 KiB
Markdown
126 lines
3.2 KiB
Markdown
Below you can find release notes for each major Codon release,
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listing improvements, updates, optimizations and more for each
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new version.
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# v0.13
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## Language
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### Scoping
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Scoping was changed to match Python scoping. For example:
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``` python
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if condition:
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x = 42
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print(x)
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```
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If condition is `False`, referencing `x` causes a `NameError`
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to be raised at runtime, much like what happens in Python.
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There is zero new performance overhead for code using the old
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scoping; code using the new scoping as above generates a flag to
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indicate whether the given variable has been assigned.
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Moreover, variables can now be assigned to different types:
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``` python
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x = 42
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print(x) # 42
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x = 'hello'
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print(x) # hello
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```
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The same applies in Jupyter or JIT environments.
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### Static methods
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Added support for `@staticmethod` method decorator.
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Class variables are also supported:
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``` python
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class Cls:
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a = 5 # or "a: ClassVar[int] = 5" (PEP 526)
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@staticmethod
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def method():
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print('hello world')
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c = Cls()
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Cls.a, Cls.method(), c.a, c.method() # supported
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```
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### Tuple handling
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Arbitrary classes can now be converted to tuples via the `tuple()`
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function.
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### Void type
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The `void` type has been completely removed in favor of the new
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and Pythonic `NoneType`, which compiles to an empty LLVM struct.
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This does not affect C interoperability as the empty struct type
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is replaced by `void` by LLVM.
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### Standard library
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The `re` module is now fully supported, and uses
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[Google's `re2`](https://github.com/google/re2) as a backend. Future
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versions of Codon will also include an additional regex optimization
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pass to compile constant ("known at compile time") regular expressions
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to native code.
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## C variables
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Global variables with C linkage can now be imported via `from C import`:
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``` python
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# assumes the C variable "long foo"
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from C import foo: int
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print(foo)
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```
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## Parallelism
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Numerous improvements to the OpenMP backend, including the addition
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of task-based reductions:
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``` python
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total = 0
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for a in some_arbitrary_generator():
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total += do_work(a) # now converted to atomic reduction
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```
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## Python interoperability
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Included revamped `codon` module for Python, with `@codon.jit` decorator
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for compiling Python code in existing codebases. Further improved and
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optimized the Python bridge. Please see the [docs](../interop/decorator.md)
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for more information.
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## Codon IR
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New capture analysis pass for Codon IR for improving tasks such as dead
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code elimination and side effect analysis. This allows Codon IR to deduce
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whether arbitrary, compilable Python expressions have side effects, capture
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variables, and more.
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## Code generation and optimizations
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A new dynamic allocation optimization pass is included, which 1)
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removes unused allocations (e.g. instantiating a class but never
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using it) and 2) demotes small heap allocations to stack (`alloca`)
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allocations when possible. The latter optimization can frequently
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remove any overhead associated with instantiating most classes.
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## Command-line tool
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The `codon` binary can now compile to shared libraries using the `-lib`
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option to `codon build` (or it can be deduced from a `.so` or `.dylib`
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extension on the output file name).
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## Errors
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Added support for multiple error reporting.
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