58 Commits

Author SHA1 Message Date
d582df5927 Merge pull request 'User manual' (#23) from feat/manual into main
Reviewed-on: #23
2026-06-30 14:11:45 +00:00
6a0401833c feat(manual): add strings to midas syntax def 2026-06-30 14:10:32 +02:00
e15607b763 fix(manual): end syntax highlighting of extend body 2026-06-30 14:03:42 +02:00
e28f324a85 fix(manual): typos 2026-06-28 22:30:09 +02:00
31e696c938 feat(manual): add listings outline and tweak template 2026-06-28 22:28:13 +02:00
759b416bf3 feat(manual): wrap all code in figures 2026-06-28 22:20:15 +02:00
4b2b0fe476 feat(manual): document supported Python syntax 2026-06-28 21:41:39 +02:00
4c39504750 feat(manual): document predicate and constraints 2026-06-28 14:12:41 +02:00
f9f3ade6c7 feat(manual): document type statement 2026-06-28 12:37:44 +02:00
386018b956 feat(manual): add sublime syntax for Midas 2026-06-28 12:36:02 +02:00
bd47d33355 feat(manual): complete introduction and quick start 2026-06-26 17:52:54 +02:00
93ddb28802 docs: setup user manual 2026-06-24 15:53:52 +02:00
f7c43837b5 Merge pull request 'CLI tweaks' (#22) from fix/cli-tweaks into main
Reviewed-on: #22
2026-06-24 12:18:07 +00:00
32ed62a6f1 fix(cli): show summary of diagnostic counts 2026-06-24 14:11:39 +02:00
66f39acec0 fix(cli): show all diagnostics in types command
combine type checker diagnostics with judgements info diagnostics
2026-06-24 14:11:15 +02:00
6c04e2fee4 feat(cli): add compile option to ignore errors 2026-06-24 14:10:30 +02:00
2bb2e0a684 Merge pull request 'Unsafe cast' (#21) from feat/unsafe-cast into main
Reviewed-on: #21
2026-06-24 12:00:03 +00:00
5630320d21 chore: use unsafe_cast in demo script 2026-06-24 13:57:38 +02:00
9f05ba3224 feat: handle unsafe casts 2026-06-24 13:51:14 +02:00
5fbe965919 feat(checker): add typing submodule with cast functions 2026-06-24 13:40:23 +02:00
252a5abdfd Merge pull request 'Static evalution of casts on literals' (#20) from feat/literal-static-constraints into main
Reviewed-on: #20
2026-06-24 09:32:54 +00:00
55fba6a088 tests: update test without evaluated casts 2026-06-24 11:28:44 +02:00
70ce263ea2 feat(gen): skip assertions for evaluated casts
avoid generating a runtime assertion for a cast which has already been checked statically
2026-06-24 11:28:43 +02:00
e1d5eac8b8 feat(checker): evaluate constraints statically on literals 2026-06-24 11:10:09 +02:00
82666a4918 feat(checker): add evaluator
add an evaluator class to evaluate expressions using literal values
2026-06-24 11:08:15 +02:00
45f84a2f23 feat(checker): add debug diagnostics 2026-06-24 11:07:42 +02:00
dedfcb4dbb feat(checker): store builtin python functions in preamble 2026-06-24 11:05:36 +02:00
d9ea6365ea tests: update with cast expression judgement 2026-06-23 16:49:38 +02:00
9c7a93412c Merge pull request 'Fixes and small demo' (#19) from feat/demonstration into main
Reviewed-on: #19
2026-06-23 08:15:56 +00:00
d6b8fbfb60 chore: improve demo example 2026-06-23 10:03:24 +02:00
b290c59ac4 fix(gen): add bases for ConstraintType and TypeVar 2026-06-23 00:25:43 +02:00
093f2bc477 fix(checker): lookup member on typevar bound 2026-06-23 00:24:37 +02:00
7c771c4070 feat(checker): add input function to preamble 2026-06-23 00:22:38 +02:00
a50a207385 fix(gen): don't generate stubs for builtin types 2026-06-22 15:40:31 +02:00
7e5ea5e414 chore: add example to demonstrate some features 2026-06-22 15:29:39 +02:00
0ba0266bae fix(checker): check general subtype case for AppliedType
this adds the case where we check whether AppliedType <: Type, and delegates to the body

this may not be a legitimate rule, or may need to be refined
2026-06-22 15:27:06 +02:00
216c80f08c fix(checker): produce judgement for expression in cast 2026-06-22 15:24:51 +02:00
f75d7722a1 fix(checker): look up members on constraint type 2026-06-22 15:24:18 +02:00
2f29c47274 fix(gen): assert type var bound 2026-06-22 15:23:53 +02:00
80af2b9048 fix(checker): handle is_subtype of TypeVar 2026-06-22 14:44:51 +02:00
577454ee7e fix(checker): make UnknownType a top type for subtyping 2026-06-22 14:15:18 +02:00
878693383e feat(cli): add watch option to stubs command 2026-06-22 14:14:05 +02:00
0b91de75a8 feat(checker): handle type vars in python functions 2026-06-22 14:13:25 +02:00
739871c101 Merge pull request 'Generic call unification' (#18) from feat/unification into main
Reviewed-on: #18
2026-06-21 11:41:48 +00:00
4395e9339b fix(checker): abort unification on conflict 2026-06-21 13:36:07 +02:00
29e601128d tests: add unification test 2026-06-21 13:19:17 +02:00
b591f5508f fix(checker): make map definition generic 2026-06-21 13:17:35 +02:00
41d0c84bbe feat(checker): add unifier
add unifier class to infer type parameters from local call context
2026-06-21 13:12:27 +02:00
cccf2f8f9f Merge pull request 'Stubs generator' (#17) from feat/stubs-gen into main
Reviewed-on: #17
2026-06-20 15:44:34 +00:00
3f48c2138f chore: add stubs command to README 2026-06-20 17:44:15 +02:00
e4ab27673d fix(gen): handle TypeVar variance in stubs generator 2026-06-20 17:34:40 +02:00
b02ecc6326 fix(gen): handle ConstraintType in stubs generator 2026-06-20 17:34:22 +02:00
9e83079910 fix(cli): add missing methods to highlighter 2026-06-20 17:23:18 +02:00
ec468dd982 feat(cli): add stubs command 2026-06-20 17:10:25 +02:00
3edc25d778 feat(gen): add base for stubs generator 2026-06-20 17:10:24 +02:00
451e54b009 fix(checker): handle calls to AliasType 2026-06-20 17:10:24 +02:00
0dc14f67aa fix(checker): allow substitutyping type vars in GenericType and TopType 2026-06-20 17:10:23 +02:00
ff79f25628 fix(checker): store member kind in registry 2026-06-20 17:10:23 +02:00
41 changed files with 3380 additions and 111 deletions

View File

@@ -18,6 +18,7 @@ This framework is being developed as part of a Bachelor's Thesis by Louis Herede
- [Highlighting](#highlighting)
- [Dumping the AST](#dumping-the-ast)
- [Dumping the Registry](#dumping-the-registry)
- [Generating Stubs](#generating-stubs)
- [Showing Type Judgements](#showing-type-judgements)
- [Validating Definitions](#validating-definitions)
- [Tests](#tests)
@@ -116,6 +117,14 @@ midas dump-registry -t types.midas
This command processes the given Midas definitions and dumps the contents of the types registry.
### Generating Stubs
```shell
midas stubs types.midas -o stubs.pyi
```
This command generate Python stubs from a Midas definition file
### Showing Type Judgements
```shell

117
assets/icon.svg Normal file
View File

@@ -0,0 +1,117 @@
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<!-- Created with Inkscape (http://www.inkscape.org/) -->
<svg
width="128"
height="128"
viewBox="0 0 128 128"
version="1.1"
id="svg1"
inkscape:export-filename="logo.png"
inkscape:export-xdpi="96"
inkscape:export-ydpi="96"
inkscape:version="1.4.4 (1:1.4.4+202605061436+dcaf3e7d9e)"
sodipodi:docname="logo.svg"
xmlns:inkscape="http://www.inkscape.org/namespaces/inkscape"
xmlns:sodipodi="http://sodipodi.sourceforge.net/DTD/sodipodi-0.dtd"
xmlns:xlink="http://www.w3.org/1999/xlink"
xmlns="http://www.w3.org/2000/svg"
xmlns:svg="http://www.w3.org/2000/svg">
<sodipodi:namedview
id="namedview1"
pagecolor="#ffffff"
bordercolor="#000000"
borderopacity="0.25"
inkscape:showpageshadow="2"
inkscape:pageopacity="0.0"
inkscape:pagecheckerboard="0"
inkscape:deskcolor="#d1d1d1"
inkscape:document-units="mm"
showgrid="true"
inkscape:zoom="1.9332778"
inkscape:cx="-8.2760999"
inkscape:cy="112.2446"
inkscape:window-width="2584"
inkscape:window-height="1028"
inkscape:window-x="0"
inkscape:window-y="24"
inkscape:window-maximized="1"
inkscape:current-layer="layer1">
<inkscape:grid
id="grid1"
units="px"
originx="0"
originy="0"
spacingx="4"
spacingy="4"
empcolor="#0099e5"
empopacity="0.30196078"
color="#0099e5"
opacity="0.14901961"
empspacing="4"
enabled="true"
visible="true" />
</sodipodi:namedview>
<defs
id="defs1">
<linearGradient
inkscape:collect="always"
xlink:href="#linearGradient4689"
id="linearGradient1478"
gradientUnits="userSpaceOnUse"
gradientTransform="matrix(0.562541,0,0,0.567972,-9.399749,-5.305317)"
x1="26.648937"
y1="20.603781"
x2="135.66525"
y2="114.39767" />
<linearGradient
id="linearGradient4689">
<stop
style="stop-color:#e1be1e;stop-opacity:1;"
offset="0"
id="stop4691" />
<stop
style="stop-color:#ffeb82;stop-opacity:1;"
offset="1"
id="stop4693" />
</linearGradient>
<linearGradient
inkscape:collect="always"
xlink:href="#linearGradient4671"
id="linearGradient1475"
gradientUnits="userSpaceOnUse"
gradientTransform="matrix(0.562541,0,0,0.567972,-9.399749,-5.305317)"
x1="150.96111"
y1="192.35176"
x2="112.03144"
y2="137.27299" />
<linearGradient
id="linearGradient4671">
<stop
style="stop-color:#ffdc21;stop-opacity:1;"
offset="0"
id="stop4673" />
<stop
style="stop-color:#ffeb82;stop-opacity:1;"
offset="1"
id="stop4675" />
</linearGradient>
</defs>
<g
inkscape:label="Calque 1"
inkscape:groupmode="layer"
id="layer1">
<g
id="g1"
transform="translate(2.911719,3.414527)">
<path
style="fill:url(#linearGradient1478);fill-opacity:1"
d="m 60.510156,6.3979729 c -4.583653,0.021298 -8.960939,0.4122177 -12.8125,1.09375 C 36.35144,9.4962267 34.291407,13.691825 34.291406,21.429223 v 10.21875 h 26.8125 v 3.40625 h -26.8125 -10.0625 c -7.792459,0 -14.6157592,4.683717 -16.7500002,13.59375 -2.46182,10.212966 -2.5710151,16.586023 0,27.25 1.9059283,7.937852 6.4575432,13.593748 14.2500002,13.59375 h 9.21875 v -12.25 c 0,-8.849902 7.657144,-16.656248 16.75,-16.65625 h 26.78125 c 7.454951,0 13.406253,-6.138164 13.40625,-13.625 v -25.53125 c 0,-7.266339 -6.12998,-12.7247775 -13.40625,-13.9375001 -4.605987,-0.7667253 -9.385097,-1.1150483 -13.96875,-1.09375 z m -14.5,8.2187501 c 2.769547,0 5.03125,2.298646 5.03125,5.125 -2e-6,2.816336 -2.261703,5.09375 -5.03125,5.09375 -2.779476,-1e-6 -5.03125,-2.277415 -5.03125,-5.09375 -1e-6,-2.826353 2.251774,-5.125 5.03125,-5.125 z"
id="path1948" />
<path
style="fill:url(#linearGradient1475);fill-opacity:1"
d="m 91.228906,35.054223 v 11.90625 c 0,9.230755 -7.825895,16.999999 -16.75,17 h -26.78125 c -7.335833,0 -13.406249,6.278483 -13.40625,13.625 v 25.531247 c 0,7.26634 6.318588,11.54032 13.40625,13.625 8.487331,2.49561 16.626237,2.94663 26.78125,0 6.750155,-1.95439 13.406253,-5.88761 13.40625,-13.625 V 92.897973 h -26.78125 v -3.40625 h 26.78125 13.406254 c 7.79246,0 10.69625,-5.435408 13.40624,-13.59375 2.79933,-8.398886 2.68022,-16.475776 0,-27.25 -1.92578,-7.757441 -5.60387,-13.59375 -13.40624,-13.59375 z m -15.0625,64.65625 c 2.779478,3e-6 5.03125,2.277417 5.03125,5.093747 -2e-6,2.82635 -2.251775,5.125 -5.03125,5.125 -2.76955,0 -5.03125,-2.29865 -5.03125,-5.125 2e-6,-2.81633 2.261697,-5.093747 5.03125,-5.093747 z"
id="path1950" />
</g>
</g>
</svg>

After

Width:  |  Height:  |  Size: 4.7 KiB

697
docs/manual.typ Normal file
View File

@@ -0,0 +1,697 @@
//#import "@preview/codly:1.3.0": codly, codly-init
// Fix unaligned highlights in v0.15.0 ()
// See https://github.com/Dherse/codly/pull/132
#import "@local/codly:1.3.1": codly, codly-init
#import "@preview/codly-languages:0.1.10": codly-languages
#import "template.typ": TODO, project
#import "@preview/gentle-clues:1.3.1" as gc
#let midas-version = toml("../pyproject.toml").project.version
#let head-ref = read("../.git/HEAD").split(":").at(1).trim()
#let commit-hash = read("../.git/" + head-ref).slice(0, 8)
#show: project.with(
title: [Midas User Manual],
author: "Louis Heredero",
version: midas-version,
hash: commit-hash,
icon-path: path("../assets/icon.svg"),
)
#show: codly-init
#codly(
languages: codly-languages
+ (
midas: (
name: "Midas",
color: rgb("#eedd47"),
icon: box(
image(
"../assets/icon.svg",
height: 130%,
fit: "contain",
),
),
),
),
)
= Introduction
Python is a very popular programming language, especially in data sciences.
However, it has been designed for simplicity, distancing itself from typed languages such as Java or C to embrace dynamic typing.
What this means is that in Python, type checks are deferred to runtime when operations are concretely executed.
For developers, it might seem like a great way of simplifying the language and making it very flexible, but it does come with a cost.
Indeed, type errors are very easy to make in Python. While passing an integer where a string is expected might not be an issue in some cases, these are the sort of thing that can cause crashes or incorrect results without a clear diagnostic to help the user fix it.
Fortunately, developers using IDEs or properly configured text editors can benefit from external type checkers such as MyPy which will perform static type analysis of their Python code. Some can also be configured to be very strict, forcing the user to make the whole code typeable statically, thus avoiding any runtime type errors.
This is not the end of the problem though. Some parts of a program, especially in data related fields, may not be available at "compile-time". For example, a dataset can be loaded from an external file, or data can be fetched from an API, with no guarantees of having the expected format when analyzing the code statically.
In turn, that can cause a range of loud and silent errors at runtime. A malformed number will probably crash the program when trying to convert it, but a NaN in a series of value might just produce wrong results without any exception. Combine this with often long-running data-processing pipelines and this is how developers can waste hours of precious computation time.
Midas is a type system which can be used on top of Python to provide better type checking capabilities and gradual typing.
It aims at providing optional but strict type annotations and casting operations which can produce runtime assertions. It also allows the user to define dependent types with value constraints that are translated into runtime checks.
= Installation
Midas comes as a very light Python package that you can install on your system in a few simple steps.
== Requirements
Here below are the requirements for installing Midas. All Python dependencies will be installed by `uv` in the installation process described in @install-steps.
- Python 3.11+
- `uv`
== Steps <install-steps>
1. Clone the repository
```bash
git clone https://git.kb28.ch/HEL/midas.git
```
2. Navigate inside the directory
```bash
cd midas
```
3. Install Midas as a tool in your local user space
```bash
uv tool install .
```
And that's it ! You can now use Midas commands anywhere, like this:
```bash
midas --help
```
= Quick Start
This chapter will give you the keys to quickly start using Midas in your project.
== Defining custom types
To begin with, you might want to define some custom types for your project, to avoid handling anonymous float values everywhere. To do so, create a `*.midas` file in your project, and write some definitions for your types. See @midas-ref for more information on syntax and features.
@qs-midas shows a simple example of what it might look like.
#codly(header: [types.midas])
#figure(
```midas
type Meter = float
extend Meter {
def __add__: fn(Meter, /) -> Meter
def __sub__: fn(Meter, /) -> Meter
}
type Coordinate = object
extend Coordinate {
prop x: Meter
prop y: Meter
}
```,
caption: [Example Midas type definitions],
) <qs-midas>
You can check for any syntax error using the following command:
```bash
midas validate types.midas
```
When you are happy with your definitions, you can generate Python stubs to use in your source code. This allows other type checkers like MyPy to recognize your custom types and avoid reporting them as undefined. It can also help catch some type errors in your IDE.
```bash
midas stubs types.midas -o stubs.pyi
```
This command will generate a file as shown in @qs-stubs, providing stub classes to represent the type lattice including methods and properties.
#codly(header: [stubs.pyi])
#figure(
```pyi
from __future__ import annotations
class Meter(float):
def __add__(self, _0: Meter, /) -> Meter: ...
def __sub__(self, _0: Meter, /) -> Meter: ...
class Coordinate(object):
x: Meter
y: Meter
```,
caption: [Generated stubs from example definitions of @qs-midas],
) <qs-stubs>
== Using Midas in Python
You can now write your Python program as you would normally. You can import your custom types from the generated stubs file and use them in type annotations.
You can also import the `cast` and `unsafe_cast` functions from `midas.typing` to explicitly cast a value to a specific type (see @cast for more information).
An example Python script is shown in @qs-python, demonstrating how you can use custom types in type annotations. Notice the comments describing errors that will be caught by the type checker in @qs-type-checking.
#codly(header: [script.py])
#figure(
```python
from lib import load_coordinate
from midas.typing import cast
from stubs import Coordinate, Meter
p1 = cast(Coordinate, load_coordinate(0))
p2 = cast(Coordinate, load_coordinate(1))
diff_x = p2.x - p1.x
diff_y = p2.y - p1.y
dist = diff_x + diff_y
p2.x += cast(Meter, 1)
p2.y = True # invalid, wrong type
p2.z = 3 # invalid, no property 'z' on Coordinate
p2.x.a = 3 # invalid, no properties on Meter
```,
caption: [Example Python script],
) <qs-python>
== Type checking <qs-type-checking>
Now that you have defined some types and written a script, you can run the type checker with the following command. You can also skip this step and directly run the compilation command in @qs-compilation.
```bash
midas check -t types.midas script.py
```
== Compiling <qs-compilation>
The final step is to compile your code. This step will produce a runnable Python script, including runtime assertions generated by `cast` expressions.
```bash
midas compile -t types.midas script.py
python3 build/midas/script.py
```
= Midas Language Reference <midas-ref>
In this chapter, you will find a complete reference for the Midas definition language.
A `*.midas` file contains a number of statements, which can be:
- *`type`* statements (see @type-stmt): to define a new type
- *`extend`* statements (see @extend-stmt): to define member of a type
- *`predicate`* statements (see @predicate-stmt): to define named predicates that can be used in constraint types
== Type Statement <type-stmt>
A *`type`* statement lets you define a new type. It requires a unique name and base type.
The simplest form of a *`type`* statement is:
#figure(
```midas
type MyType = float
```,
caption: [Simple `type` statement declaring a new type "`MyType`" as a subtype of `float`],
) <midas-simple-alias>
This statement defines a new type called `MyType` which is a subtype of `float`. `MyType` is a `float` but a `float` is not necessarily `MyType`.
=== Builtin / base types
A number of base types are provided out of the box, which can be used to derive other types.
They correspond to Python's builtin types:
```py object```,
```py str```,
```py float```,
```py int```,
```py bool```,
```py list```,
```py dict```,
```py None```.
Some differences are to be noted however.
1. ```py bool``` is not a subtype of ```py int```
2. ```py list``` are homogeneous, i.e. all items must be of the same type
3. ```py dict``` keys and values are homogeneous, i.e. all keys must be of the same type and all values must be of the same type (can be different from keys).
=== Function types
A function type is written in a similar notation to Python function definitions:
#figure(
```midas
type Repeater = fn(text: str, count: int) -> str
```,
caption: [Simple function type definition],
)
Midas supports positional-only, keyword-only and mixed arguments (using the `/` and `*` separators). You may omit the name of positional-only arguments. The return type is required.
Optional parameters can be indicated by adding a question mark (`?`) after their type:
#figure(
```midas
type Repeater = fn(text: str, count: int, *, sep: str?) -> str
```,
caption: [Function type definition with an optional keyword-only parameter],
)
#gc.warning[
Sink arguments (`*args`, `**kwargs`) are not currently supported.
]
=== Constraint types
A useful feature provided by Midas is the possibility to combine types with custom value constraints. For example, you might want to define a type for positive amounts of money:
#figure(
```midas
type Money = float
type Income = Money where _ >= 0
```,
caption: [Simple constraint type definition],
)
Constraints can be combined with any type using the `where` keyword, followed by a constraint expression (see @constraint-expr).
=== Generic types
For more complex types, you might want to use type parameters. For example, to define a container, we might write:
#figure(
```midas
type Container[T] = object
```,
caption: [Simple generic container type definition],
)
To better refine a generic type, you can also bound type parameters using the following syntax:
#figure(
```midas
type Container[T <: float] = object
```,
caption: [Generic container type definition with a bound],
)
This can be read as "`Container` is a generic type which takes one type parameter `T` that must be a subtype of `float`".
You can use a generic type, i.e. instantiate it, by using a similar syntax with concrete type as arguments:
#figure(
```midas
type MyContainer = Container[MyType]
```,
caption: [Application of a generic type],
)
Generic types can also take multiple parameters, which are then separated by commas:
#figure(
```midas
type ZipCodeRegistry = dict[int, str]
```,
caption: [Application of a multi-parameter generic type],
)
The _body_ of a generic type, i.e. the right-hand side of the definition, can contain or even be equal to any number of its parameters.#footnote[The latter is not something that is expressible in standard Python, yet it brings a semantic distinction on top of structurally equivalent values.] For example, the following is a valid type statement:
#figure(
```midas
type Price[T <: Currency] = T where _ > 0
```,
caption: [Type parameters in a generic type's body],
)
#pagebreak()
== Extend Statement <extend-stmt>
Type statements allow you to define new types, kind of like type aliases. However, a type might have properties or methods of its own. These might override those of the parent type or be brand new members.
This is where the `extend` statement comes into play. It allows defining members on a given type. Members can either be properties (`prop`) or methods (`def`). The only difference between the two is that methods must be functions and can be overloaded.
Here is a simple example showing how to define a property and a method on a custom type:
#figure(
```midas
type MyType = float
extend MyType {
prop norm: float
def double: fn() -> MyType
}
```,
caption: [Simple `extend` statement defining a property and a method],
)
An `extend` statement can appear anywhere after the type it extends has been defined.
You may want to override Python's dunder methods to implement type checking for some basic operators, like `__add__` for the `+` operator.
#figure(
```midas
type Money = float
extend Money {
def __add__(Money, /) -> Money
def __mul__(float, /) -> Money
}
```,
caption: [Simple `extend` statement overriding some dunder methods],
)
When extending generic type, you must specify the whole type, including its parameter(s):
#figure(
```midas
type Container[T <: float] = object
extend Container[T <: float] {
prop content: T
def set_content: fn(content: T) -> None
}
```,
caption: [Generic `extend` statement using type parameters in the declared members],
)
#pagebreak()
== Predicate Statement <predicate-stmt>
A *`predicate`* statement lets you define a named constraint expression, like a function, which can then be used in other constraint expressions (either in other predicate statements or in constraint types). See @constraint-expr for more information about the syntax of constraint expressions.
The left-hand side of a predicate statement is written as a function signature, without a return type. The right-hand side is a constraint expression. For example:
#figure(
```midas
predicate is_positive(v: float) = v >= 0
```,
caption: [Simple `predicate` statement defining an `is_positive` predicate],
)
The left-hand side can also be curried to allow partial application. For example:
#figure(
```midas
predicate in_range(mn: float, mx: float)(v: float) = mn <= v & v <= mx
predicate is_ratio = in_range(0.0, 1.0)
```,
caption: [Curried `predicate` statement and partial application],
) <midas-predicate-partial>
Notice that the second predicate statement doesn't take any parameters. This is simply a partial application of another predicate, kind of like an alias. You can use it in other expressions to finalize the call:
#figure(
```midas
type Efficiency = float where is_ratio(_)
```,
caption: [Constraint type definition using the partially applied predicate from @midas-predicate-partial],
)
Of course you can also directly call `in_range`:
#figure(
```midas
type Efficiency = float where in_range(0.0, 1.0)(_)
```,
caption: [Full call of curried predicate from @midas-predicate-partial],
)
When compiled, named predicates are translated to Python functions which are used in runtime assertions. Only predicates that are referenced are compiled.
#pagebreak()
== Constraint Expressions <constraint-expr>
*Constraint expressions* are Python-like expressions which can appear in *`predicate`* statements or in constraint types.
They can contain comparisons, simple computations, logical operations and must evaluate to a boolean value.
Context is quite restricted inside these expressions. You can only reference some builtin functions, such as type constructors (`float(...)`, `str(...)`, etc.), parameters of predicate statements, and named predicates. In constraint type, the special variable `_` can be used to reference the value targeted by the type. For example:
#figure(
```midas
predicate not_nan(v: float) = v != float("nan")
type RealFloat = float where not_nan(_)
```,
caption: [Example constraint expressions],
) <ex-constraint-expr>
In the predicate statement (@ex-constraint-expr:1), we reference the parameter `v` and the builtin `float` function.
In the constraint type definition (@ex-constraint-expr:2), we then reference the named predicate `not_nan`, passing the value targeted by the type itself ( `_` )
= Supported Python Syntax <python-ref>
Midas integrates naturally in Python via type annotations. Through generated stubs, even other type checker can detect your custom types (see @cmd-stubs).
It has been designed to leave the user free of typing any amount of their code but be strict about the parts that are annotated. By default, any untyped Python expression is assigned `UnknownType`.
Any operation is permitted on `UnknownType` and will result in `UnknownType` values.
The moment an expression can be typed, that be thanks to an annotation or a literal value, the type checker kicks in and will validate your statements.
Because Python is very flexible language with many features, some expressions and statements might be more complex to properly type check, thus only a subset of the Python language is fully supported. This chapter lists all supported features of Python and how they affect type checking.
Some examples are presented in the following sections in the form of code blocks. Highlights in the code blocks indicate the type assigned to each expression by the type checker. Some types may be omitted for readability. For example:
#codly(
highlights: (
(
line: 1,
start: 5,
fill: green,
tag: [_int_],
),
(
line: 2,
start: 7,
end: 7,
fill: green,
tag: [_int_],
),
),
)
```python
v = 3
print(v)
```
== Literals
Literal Python values are type checked using builtin types. Lists and dictionaries of literals are also typed liked literals. This does not include comprehension lists/dicts (```py [. for . in .]```), nor formatted strings (```py f"..."```). @supported-literals shows the list of supported literal values and their type.
#let supported-literals = table(
columns: 2,
table.header[*Example value*][*Judged Type*],
```py 42```, ```py int```,
```py 3.14```, ```py float```,
```py True```, ```py bool```,
```py "Midas"```, ```py str```,
```py None```, ```py None```,
```py [1, 2, 3]```, ```py list[int]```,
```py {1: "One", 2: "Two"}```, ```py dict[int, str]```,
```py ("1", 1, True)```, ```py tuple[str, int, bool]```,
)
#figure(
supported-literals,
caption: [Supported literal values and their judged types],
) <supported-literals>
== Assignments
Variable assignments allow assigning a new value to a variable. For the type checker, this implies two things:
1. If the variable was not already declared in the current scope, it is declared at that point with the type of the right-hand side expression
2. If the variable was already declared, the type of the right-hand side expression is checked against the declared type of the variable. Only a subtype of the variable's type can be assigned to it
Once a variable has been given a type, it cannot be changed in the same scope.
The walrus operator (```py :=```) is not currently supported.
A simple annotation declaration, without assigning a value, is enough to declare a variable. For example:
#figure(
```python
var: float
```,
caption: [Bare Python variable annotation without assignment],
)
Because unpacking is not supported, assigning to multiple values is also not handled by the type checker.
== Arithmetic
- All basic binary operators are supported, through dunder methods.
- All comparison operators except ```py in``` are supported.
- All unary operators are supported (`+`, `-`, `~`).
- All logical operators are supported (```py and```, ```py or```, ```py not```).
== Ternary operator
The ternary operator ```py . if . else .``` is supported. As for `if` statements (see @if-else), the test expression must be a boolean. Additionally, both branches must be of the same type.
For example:
#codly(
highlights: (
(
line: 1,
start: 10,
end: 44,
tag: [_str_],
fill: blue,
),
(
line: 1,
start: 11,
end: 16,
tag: [_str_],
fill: green,
),
(
line: 1,
start: 39,
end: 43,
tag: [_str_],
fill: green,
),
(
line: 1,
start: 21,
end: 32,
tag: [_bool_],
fill: green,
),
),
)
#figure(
```python
parity = ("even" if num % 2 == 0 else "odd")
```,
caption: [Typing of ternary operator],
)
== Control flow
Some control flow features are supported. For the limited code of this project, not all constructs are supported. The following are those currently handled and typ checked by Midas.
=== `if` / `elif` / `else` <if-else>
Conditional statements are checked relatively strictly by Midas. The test expression, i.e. what comes after the ```py if``` keyword, must be a boolean. While Python allows introducing and leaking new variables from inside an ```py if``` statement, Midas will strictly forbid leaks by restraining bindings to the scope they are defined in. For example, the following Python code will not compile with Midas:
#figure(
```python
age = 22
if age >= 18:
msg = "You're an adult"
else:
msg = "You're still a child"
print(msg) # -> unknown variable 'msg'
```,
caption: [`if`/`else` statement cannot leak variables],
)
=== `for` loops
Simple forms of `for` loops can be used, that is using a single variable and iterating over an object implementing the `__getitem__` method. Like above in @if-else, leaking variables from inside the loop is ignored.
The `for`-`else` statements are not supported. `while` loops are also not not supported.
== Functions
You can define functions as usual and the type checker will do its best to type it. Apart from argument sinks (`*args`, `**kwargs`), all forms of parameter specifications are supported (positional-only, keyword-only, mixed, optional).
As for the rest of your code, type annotations are optional, but recommended. If you omit the return type hint, the type checker will try to infer it from the function body and its return statements. If you did specify a return type, all return paths must return values that are subtypes of the type hint.
#codly(
highlights: (
(
line: 2,
start: 12,
end: 16,
tag: [_float_],
fill: green,
),
(
line: 2,
start: 12,
tag: [_float_],
fill: blue,
),
(
line: 3,
start: 10,
end: 15,
tag: [_(value: float) -> float_],
fill: green,
),
(
line: 3,
start: 17,
end: 19,
tag: [_float_],
fill: green,
),
(
line: 3,
start: 10,
tag: [_float_],
fill: blue,
),
),
)
#figure(
```python
def double(value: float) -> float:
return value * 2
result = double(4.0)
```,
caption: [Typing of function's body and call],
)
Anonymous functions (```py lambda```) are not yet supported
== Casts <cast>
#gc.info[
The functions discussed in this section are provided by the `midas.typing` submodule. You can import them in your script like so:
#figure(
```python
from midas.typing import cast, unsafe_cast
```,
caption: [Importing cast functions],
)
]
Sometimes, you may want to use a value whose type is not known to the type checker in a place where it expects a particular type. In that case, if you do know that the runtime type will correspond to what is expected, you can use a `cast` expression.
Similar to the `cast` function from the `typing` package of Python's Standard Library, it allows telling the type checker that a value has a given type. While `typing`'s function doesn't have any runtime side-effect, Midas' will generate runtime assertions, ensuring that your statement is true when running the code. What cannot be checked statically is checked at runtime.
In the following example, a runtime check would be generated to ensure that the value is indeed a `float` and that it satisfies the type's constraint (i.e. `>= 0`):
#codly(
highlights: (
(
line: 1,
start: 35,
end: 47,
tag: [_UnknownType_],
fill: red,
),
(
line: 2,
start: 7,
end: 17,
tag: [_PositiveFloat_],
fill: green,
),
),
)
#figure(
```python
typed_value = cast(PositiveFloat, unknown_value)
print(typed_value)
```,
caption: [Typing of `cast` expression],
)
There may be some cases where the cost of checking a value at runtime is simply not worth the safety, for example when dealing with a big dataset. If do wish so, you can use `unsafe_cast` which will only tell the type checker the type of the value, without generating a runtime assertion. This maps to the default behavior of `typing`'s own `cast` function.
If the value passed to `cast` or `unsafe_cast` is a literal (e.g. an integer, a string, a list of literals, etc.), the assertion is evaluated _at compile-time_ and no runtime assertion is generated.
= Commands <commands>
#TODO
== Type Checking (`check`) <cmd-check>
== Compiling (`compile`) <cmd-compile>
== Formatting (`format`) <cmd-format>
== Highlighting (`highlight`) <cmd-highlight>
== Dumping the AST (`parse`) <cmd-parse>
== Dumping the Registry (`dump-registry`) <cmd-registry>
== Generating Stubs (`stubs`) <cmd-stubs>
== Showing Type Judgements (`types`) <cmd-types>
== Validating Definitions (`validate`) <cmd-validate>

180
docs/midas.sublime-syntax Normal file
View File

@@ -0,0 +1,180 @@
%YAML 1.2
---
name: Midas
file_extensions:
- midas
scope: source.midas
variables:
identifier: "[a-zA-Z_][a-zA-Z0-9_]*"
contexts:
prototype:
- include: comments
main:
- include: keywords
- include: types
comments:
- match: "//"
scope: punctuation.definition.comment.midas
push:
- meta_scope: comment.line.midas
- match: $
pop: true
- match: /\*
scope: punctuation.definition.comment.midas
push:
- meta_scope: comment.block.midas
- match: \*/
pop: true
string:
- meta_include_prototype: false
- meta_scope: string.quoted.double.c
- match: '"'
pop: true
keywords:
- match: \btype\b
scope: keyword.declaration.midas
push: type-stmt
- match: \bextend\b
scope: keyword.declaration.midas
push: extend-stmt
- match: \bpredicate\b
scope: keyword.declaration.midas
push: predicate-stmt
type-stmt:
- match: "{{identifier}}"
scope: entity.name.type
- match: \[
push: type-params
- match: "="
scope: keyword.operator.equal.midas
push: type-expr
- match: $
pop: true
type-expr:
- match: \b(fn)\s*(\()
captures:
1: keyword.other.midas
2: punctuation.section.group.begin
push: fn-params
- match: \b(where)\b
scope: keyword.other.midas
set: constraint
- match: "{{identifier}}"
scope: entity.name.type
- match: $
pop: 2
fn-params:
- match: "({{identifier}})(:)"
captures:
1: variable.parameter.midas
2: punctuation.separator.annotation.midas
push:
- include: type-expr
- match: \?
scope: keyword.operator.qmark.midas
- match: "(?=,)"
scope: punctuation.separator.midas
pop: true
- match: '(?=\))'
pop: true
- include: type-expr
- match: '\)'
set:
- match: "->"
scope: keyword.operator.arrow.midas
set: type-expr
constraint:
- match: $
pop: 2
- match: \d+(\.\d+)?
scope: constant.numeric.midas
- match: \b(true|false|none)\b
scope: constant.language.midas
- match: '"'
push: string
- match: (<=|>=|<|>|==|!=|&)
scope: keyword.operator
- match: _
scope: variable.language.midas
- match: '{{identifier}}(?=\s*\()'
scope: variable.function.midas
- match: "{{identifier}}"
scope: variable.other.readwrite.midas
type-params:
- match: "<:"
scope: keyword.operator.subtype.midas
- match: "[a-zA-Z][a-zA-Z_0-9]*"
scope: entity.name.type
- match: "]"
pop: true
extend-stmt:
- match: "{{identifier}}"
scope: entity.name.type
- match: \[
push: type-params
- match: \{
scope: punctuation.section.block.begin
set: extend-body
extend-body:
- include: member-stmt
- match: \}
scope: punctuation.section.block.end
pop: true
member-stmt:
- match: \b(prop|def)\b
scope: keyword.other.midas
push:
- match: "{{identifier}}"
scope: variable.other.member
- match: ":"
push: type-expr
- match: $
pop: true
predicate-stmt:
- match: "{{identifier}}"
scope: entity.name.function.midas
- match: '\('
push: predicate-params
- match: "="
scope: keyword.operator.equal.midas
set: constraint
- match: $
pop: true
predicate-params:
- match: "({{identifier}})(:)"
captures:
1: variable.parameter.midas
2: punctuation.separator.annotation.midas
push:
- include: type-expr
- match: "(?=,)"
scope: punctuation.separator.midas
pop: true
- match: '(?=\))'
pop: true
- match: '\)'
pop: true

143
docs/template.typ Normal file
View File

@@ -0,0 +1,143 @@
#import "@preview/modpattern:0.2.0": modpattern
#let TODO = block(
width: 6em,
height: 3em,
stroke: red,
fill: modpattern(
size: (10pt, 10pt),
line(
start: (0%, 0%),
end: (100%, 100%),
stroke: gray.transparentize(60%) + 2pt,
),
),
align(
center + horizon,
text(fill: red, size: 1.5em)[*TODO*],
),
)
#let _render-header(version, hash) = {
let last-heading = query(heading.where(level: 1).before(here())).last(default: none)
let next-heading = query(heading.where(level: 1).after(here())).first(default: none)
let current-heading = if next-heading != none and next-heading.location().page() == here().page() {
next-heading
} else if last-heading != none {
last-heading
} else { none }
let chapter = if current-heading != none {
let body = current-heading.body
if current-heading.numbering != none {
let num = counter(heading).display(current-heading.numbering, at: current-heading.location())
body = [#num #body]
}
body
} else []
grid(
columns: (1fr, auto, 1fr),
align: (left, center, right),
document.title, [v#version - #hash], chapter,
)
}
#let _unshift-prefix(prefix, content) = context {
pad(left: -measure(prefix).width, prefix + content)
}
#let project(
title: none,
author: none,
version: "0.0.1",
hash: "abcdefgh",
icon-path: none,
doc,
) = {
assert(title != none, message: "Please provide a title")
set document(
title: title,
author: author,
)
set text(
font: "Source Sans 3",
)
set raw(syntaxes: path("midas.sublime-syntax"))
let front-page() = {
align(center)[
#{
set text(size: 1.5em)
std.title()
}
v#version - #hash
#if icon-path != none {
v(1cm)
image(icon-path)
}
]
pagebreak()
}
let outlines() = {
outline()
pagebreak()
outline(
title: [List of Listings],
target: figure.where(kind: raw),
)
outline(
title: [List of Tables],
target: figure.where(kind: table),
)
}
let main() = {
// Adapted from https://github.com/hei-templates/hei-synd-thesis/blob/7d2b941197babae0bf3afd4e5914754e09a64001/lib/template-thesis.typ#L242-L261
show heading.where(level: 1): it => {
pagebreak()
set text(size: 1.5em)
set block(above: 1.2em, below: 1.2em)
if it.numbering != none {
let num = numbering(it.numbering, ..counter(heading).at(it.location()))
let prefix = num + h(1em)
_unshift-prefix(prefix, it.body)
} else {
it
}
}
show heading.where(level: 2): it => {
if it.numbering != none {
let num = numbering(it.numbering, ..counter(heading).at(it.location()))
_unshift-prefix(num + h(0.8em), it.body)
} else {
it
}
}
set page(
header: context _render-header(version, hash),
footer: context if page.numbering != none {
align(center, counter(page).display(page.numbering, both: true))
},
numbering: "1 / 1",
)
show heading: set heading(numbering: "I.1.")
counter(page).update(1)
doc
}
front-page()
outlines()
main()
}

View File

@@ -0,0 +1,15 @@
predicate in_range(min: float, max: float)(v: float) = min <= v & v <= max
predicate is_ratio = in_range(0, 1)
type Currency = float
type Price[T <: Currency] = T where _ >= 0
extend Price[T <: Currency] {
def __add__: fn(Price[T], /) -> Price[T]
}
type EUR = Currency
type USD = Currency
type CHF = Currency
type Discount = float where is_ratio(_)

View File

@@ -0,0 +1,35 @@
from typing import TypeVar
from demo_stubs import CHF, EUR, USD, Currency, Discount, Price
from midas.typing import cast, unsafe_cast
T = TypeVar("T", bound=Currency)
def apply_discount(amount: Price[T], discount: Discount) -> Price[T]:
return cast(Price[T], (1.0 - discount) * amount)
a1 = cast(Price[EUR], 3.2)
a2 = cast(Price[USD], 10.4)
r1 = cast(Discount, 0.2)
print(apply_discount(a1, r1))
print(apply_discount(a2, r1))
a3 = a1 + a1
a4 = a1 + a2 # cannot add euros and dollars
a3 = a2 # cannot change variable type
dyn_price = float(input("Price (CHF): "))
dyn_discount = float(input("Discount (0.0-1.0): "))
discounted = apply_discount(
cast(Price[CHF], dyn_price),
cast(Discount, dyn_discount),
)
print(f"Discounted: CHF {discounted}")
large_data = [i * 10 for i in range(100)]
prices = unsafe_cast(list[Price[EUR]], large_data)

View File

@@ -0,0 +1,14 @@
from __future__ import annotations
from typing import Generic, TypeVar
class Currency(float): ...
_T0 = TypeVar("_T0", bound=Currency, covariant=True)
class Price(Currency, Generic[_T0]):
def __add__(self, _0: Price[_T0], /) -> Price[_T0]: ...
class EUR(Currency): ...
class USD(Currency): ...
class CHF(Currency): ...
class Discount(float): ...

View File

@@ -145,6 +145,7 @@ class LogicalExpr:
class CastExpr:
type: MidasType
expr: Expr
unsafe: bool
class TernaryExpr:

View File

@@ -757,9 +757,10 @@ class PythonAstPrinter(
self._write_line("type")
with self._child_level(single=True):
expr.type.accept(self)
self._write_line("expr", last=True)
self._write_line("expr")
with self._child_level(single=True):
expr.expr.accept(self)
self._write_line(f"unsafe: {expr.unsafe}", last=True)
def visit_ternary_expr(self, expr: p.TernaryExpr) -> None:
self._write_line("TernaryExpr")

View File

@@ -350,6 +350,7 @@ class LogicalExpr(Expr):
class CastExpr(Expr):
type: MidasType
expr: Expr
unsafe: bool
def accept(self, visitor: Expr.Visitor[T]) -> T:
return visitor.visit_cast_expr(self)

View File

@@ -15,7 +15,7 @@ if TYPE_CHECKING:
BUILTIN_SUBTYPES: dict[str, set[str]] = {
"object": {"float", "list", "dict"},
"object": {"float", "list", "dict", "str"},
"float": {"int"},
"int": {"bool"},
}

View File

@@ -9,6 +9,7 @@ class DiagnosticType(StrEnum):
ERROR = "Error"
WARNING = "Warning"
INFO = "Info"
DEBUG = "Debug"
@dataclass(frozen=True)

172
midas/checker/evaluator.py Normal file
View File

@@ -0,0 +1,172 @@
from dataclasses import dataclass
from typing import Any, Callable, Optional
import midas.ast.midas as m
from midas.checker.preamble import Preamble
from midas.checker.registry import TypesRegistry
from midas.checker.reporter import FileReporter
from midas.checker.types import Function, Predicate
from midas.lexer.token import TokenType
@dataclass(frozen=True, kw_only=True)
class PartialPredicate(Predicate):
scope: dict[str, Any]
class Evaluator(m.Expr.Visitor[Any]):
def __init__(self, types: TypesRegistry, reporter: Optional[FileReporter] = None):
self.types: TypesRegistry = types
self.reporter: Optional[FileReporter] = reporter
self.preamble: Preamble = Preamble(self.types)
self.scopes: list[dict[str, Any]] = [{}]
def evaluate(self, expr: m.Expr) -> Any:
value: Any = expr.accept(self)
if self.reporter is not None:
self.reporter.debug(expr.location, f"Value: {value}")
return value
def get_value(self, name: str) -> Any:
scope: dict[str, Any] = self.scopes[-1]
return scope[name]
def set_value(self, name: str, value: Any, force_declare: bool = False):
if not force_declare:
for scope in reversed(self.scopes):
if name in scope:
scope[name] = value
return
self.scopes[-1][name] = value
def visit_logical_expr(self, expr: m.LogicalExpr) -> Any:
def left():
return self.evaluate(expr.left)
def right():
return self.evaluate(expr.right)
match expr.operator.type:
case TokenType.AND:
return left() and right()
case _:
raise NotImplementedError
def visit_binary_expr(self, expr: m.BinaryExpr) -> Any:
left: Any = self.evaluate(expr.left)
right: Any = self.evaluate(expr.right)
match expr.operator.type:
case TokenType.MINUS:
return left - right
case TokenType.STAR:
return left * right
case TokenType.SLASH:
return left / right
case TokenType.GREATER:
return left > right
case TokenType.GREATER_EQUAL:
return left >= right
case TokenType.LESS:
return left < right
case TokenType.LESS_EQUAL:
return left <= right
case TokenType.EQUAL_EQUAL:
return left == right
case TokenType.BANG_EQUAL:
return left != right
case _:
raise NotImplementedError
def visit_unary_expr(self, expr: m.UnaryExpr) -> Any:
right: Any = self.evaluate(expr.right)
match expr.operator.type:
case TokenType.MINUS:
return -right
case _:
raise NotImplementedError
def visit_call_expr(self, expr: m.CallExpr) -> Any:
callee: Any = self.evaluate(expr.callee)
args: list[Any] = [self.evaluate(arg) for arg in expr.arguments]
kwargs: dict[str, Any] = {
name: self.evaluate(arg) for name, arg in expr.keywords.items()
}
match callee:
case Predicate():
return self._evaluate_predicate(callee, args, kwargs)
case _ if callable(callee):
return callee(*args, **kwargs)
case _:
return NotImplementedError
def visit_get_expr(self, expr: m.GetExpr) -> Any:
obj: Any = self.evaluate(expr.expr)
return getattr(obj, expr.name.lexeme)
def visit_variable_expr(self, expr: m.VariableExpr) -> Any:
name: str = expr.name.lexeme
for scope in reversed(self.scopes):
if name in scope:
return scope[name]
predicate: Optional[Predicate] = self.types.lookup_predicate(name)
if predicate is not None:
if predicate.alias:
return self.evaluate(predicate.body)
return predicate
glob: Optional[Callable] = self.preamble.get_py_func(name)
if glob is not None:
return glob
raise NameError(f"Unknown variable '{name}'")
def visit_grouping_expr(self, expr: m.GroupingExpr) -> Any:
return self.evaluate(expr.expr)
def visit_literal_expr(self, expr: m.LiteralExpr) -> Any:
return expr.value
def visit_wildcard_expr(self, expr: m.WildcardExpr) -> Any:
return self.get_value("_")
def _evaluate_predicate(
self, predicate: Predicate, args: list[Any], kwargs: dict[str, Any]
) -> Any:
res: Any = None
if isinstance(predicate, PartialPredicate):
self.scopes.append(predicate.scope)
else:
self.scopes.append({})
match predicate.type:
case Function(returns=Function() as inner):
self._map_args(predicate.type, args, kwargs)
res = PartialPredicate(
type=inner,
body=predicate.body,
alias=False,
scope=self.scopes[-1],
)
case Function():
self._map_args(predicate.type, args, kwargs)
res = self.evaluate(predicate.body)
case _:
raise NotImplementedError
self.scopes.pop()
return res
def _map_args(self, function: Function, args: list[Any], kwargs: dict[str, Any]):
positional: list[Function.Argument] = function.pos_args + function.args
keywords: dict[str, Function.Argument] = {
arg.name: arg for arg in function.args + function.kw_args
}
for i, arg in enumerate(args):
param: Function.Argument = positional[i]
self.set_value(param.name, arg)
for name, arg in kwargs.items():
param: Function.Argument = keywords[name]
self.set_value(param.name, arg)

View File

@@ -173,7 +173,7 @@ class MidasTyper(m.Stmt.Visitor[None], m.Expr.Visitor[Type], m.Type.Visitor[Type
base_name,
member.name.lexeme,
member_type,
member.kind == m.MemberKind.METHOD,
member.kind,
)
def visit_predicate_stmt(self, stmt: m.PredicateStmt) -> None:

View File

@@ -1,4 +1,5 @@
from dataclasses import dataclass
from typing import Callable, Optional
from midas.checker.environment import Environment
from midas.checker.registry import TypesRegistry
@@ -16,16 +17,18 @@ class Preamble(Environment):
def __init__(self, types: TypesRegistry) -> None:
super().__init__()
self._types: TypesRegistry = types
self._python_funcs: dict[str, Callable] = {}
self._def_type_constructor("object")
self._def_type_constructor("float")
self._def_type_constructor("int")
self._def_type_constructor("bool")
self._def_type_constructor("str")
self._def_type_constructor("object", object)
self._def_type_constructor("float", float)
self._def_type_constructor("int", int)
self._def_type_constructor("bool", bool)
self._def_type_constructor("str", str)
self._def_function(
name="list",
pos=[Param("object", TopType())],
returns=self._list_of(TopType()),
py_function=list,
)
# TODO: use sink
@@ -33,6 +36,7 @@ class Preamble(Environment):
name="print",
pos=[Param("object", TopType())],
returns=UnitType(),
py_function=print,
)
map_in = TypeVar(name="T", bound=None)
@@ -52,17 +56,25 @@ class Preamble(Environment):
),
],
returns=self._list_of(map_out), # TODO: replace with Iterable[U]
type_vars=[map_in, map_out],
py_function=map,
)
self._def_function(
name="input",
pos=[Param("prompt", TopType(), required=False)],
returns=self._types.get_type("str"),
)
def _list_of(self, item_type: Type) -> Type:
return self._types.apply_generic(self._types.get_type("list"), [item_type])
def _def_type_constructor(self, name: str):
def _def_type_constructor(self, name: str, py_function: Optional[Callable] = None):
# TODO: more specific arg types
self._def_function(
name=name,
pos=[Param("object", TopType(), required=False)],
returns=self._types.get_type(name),
py_function=py_function,
)
def _make_function(
@@ -109,6 +121,7 @@ class Preamble(Environment):
kw: list[Param] = [],
returns: Type = UnitType(),
type_vars: list[TypeVar] = [],
py_function: Optional[Callable] = None,
):
function: Type = self._make_function(
name=name,
@@ -119,3 +132,8 @@ class Preamble(Environment):
type_vars=type_vars,
)
self.define(name, function)
if py_function is not None:
self._python_funcs[name] = py_function
def get_py_func(self, name: str) -> Optional[Callable]:
return self._python_funcs.get(name)

View File

@@ -1,11 +1,13 @@
import ast
import logging
from dataclasses import dataclass
from typing import Optional
from typing import Any, Optional
import midas.ast.python as p
from midas.ast.location import Location
from midas.ast.printer import MidasPrinter
from midas.checker.environment import Environment
from midas.checker.evaluator import Evaluator
from midas.checker.operators import (
PY_COMPARATOR_METHODS,
PY_OPERATOR_METHODS,
@@ -16,14 +18,21 @@ from midas.checker.registry import TypesRegistry
from midas.checker.reporter import FileReporter, Reporter
from midas.checker.resolver import Resolver
from midas.checker.types import (
AliasType,
AppliedType,
BaseType,
ConstraintType,
Function,
GenericType,
OverloadedFunction,
Type,
TypeVar,
UnitType,
UnknownType,
Variance,
unfold_type,
)
from midas.checker.unifier import Unifier
from midas.parser.python import PythonParser
from midas.utils import TypedAST
@@ -66,6 +75,7 @@ class PythonTyper(
self.env: Environment = self.global_env
self.locals: dict[p.Expr, int] = {}
self.judgements: list[tuple[p.Expr, Type]] = []
self.evaluated_casts: list[p.CastExpr] = []
def process(self, source: str, path: Optional[str]) -> TypedAST:
self.reporter = self.reporter.for_file(path)
@@ -79,10 +89,15 @@ class PythonTyper(
self.env = self.global_env
self.locals = resolver.locals
self.judgements = []
self.evaluated_casts = []
self.check(stmts)
return TypedAST(stmts=stmts, judgements=self.judgements)
return TypedAST(
stmts=stmts,
judgements=self.judgements,
evaluated_casts=self.evaluated_casts,
)
def judge(self, expr: p.Expr, type: Type):
"""Record a typing judgement
@@ -226,7 +241,8 @@ class PythonTyper(
)
pos += 1
for arg in pos_args + args + kw_args:
all_args: list[Function.Argument] = pos_args + args + kw_args
for arg in all_args:
env.define(arg.name, arg.type)
returns_hint: Optional[Type] = None
@@ -267,12 +283,25 @@ class PythonTyper(
returns = inferred_return
# TODO: handle *args and **kwargs sinks
function: Function = Function(
function: Type = Function(
pos_args=pos_args,
args=args,
kw_args=kw_args,
returns=returns,
)
generic_params: list[TypeVar] = []
all_types: list[Type] = [arg.type for arg in all_args] + [returns]
for type in all_types:
if isinstance(type, TypeVar):
if type not in generic_params:
generic_params.append(type)
if len(generic_params) != 0:
function = GenericType(
name=stmt.name,
params=generic_params,
body=function,
)
self.env.define(stmt.name, function)
def visit_type_assign(self, stmt: p.TypeAssign) -> None:
@@ -450,6 +479,10 @@ class PythonTyper(
return result or UnknownType()
def visit_call_expr(self, expr: p.CallExpr) -> Type:
match expr.callee:
case p.VariableExpr(name="TypeVar"):
return self.define_typevar(expr) or UnknownType()
callee: Type = self.type_of(expr.callee)
positional: list[TypedExpr] = [
(arg, self.type_of(arg)) for arg in expr.arguments
@@ -515,7 +548,16 @@ class PythonTyper(
return UnknownType()
def visit_cast_expr(self, expr: p.CastExpr) -> Type:
return self.resolve_type_expr(expr.type)
subject_type: Type = self.type_of(expr.expr)
target_type: Type = self.resolve_type_expr(expr.type)
is_lit, lit_value = self._get_literal(expr.expr)
if is_lit:
evaluated: bool = self._evaluate_cast_statically(
expr, subject_type, target_type, lit_value
)
if evaluated:
self.evaluated_casts.append(expr)
return target_type
def visit_ternary_expr(self, expr: p.TernaryExpr) -> Type:
test_type: Type = self.type_of(expr.test)
@@ -698,9 +740,39 @@ class PythonTyper(
case UnknownType():
return UnknownType()
case AliasType(type=base):
return self._get_call_result(
location, base, positional, keywords, report_errors
)
case GenericType():
unifier: Unifier = Unifier(self.types)
pos: list[Type] = [a[1] for a in positional]
kw: dict[str, Type] = {k: v[1] for k, v in keywords.items()}
unified: Optional[Type] = unifier.unify_call(callee, pos, kw)
if unified is None:
if report_errors:
pos_str: str = ", ".join(str(t) for t in pos)
kw_str: str = ", ".join(f"{k}: {v}" for k, v in kw.items())
self.reporter.error(
location,
f"Could not unify {callee}={callee.body} with pos=[{pos_str}] and kw={{{kw_str}}}",
)
return None
return self._get_call_result(
location,
unified,
positional,
keywords,
report_errors,
)
case _:
if report_errors:
self.reporter.error(location, f"{callee} is not callable")
self.reporter.error(
location,
f"{callee} ({callee.__class__.__name__}) is not callable",
)
return None
def _are_arguments_valid(
@@ -1000,3 +1072,147 @@ class PythonTyper(
report_errors=False,
)
return result
def define_typevar(self, call: p.CallExpr) -> Optional[TypeVar]:
def is_kw_true(name: str) -> bool:
match call.keywords.get(name):
case p.LiteralExpr(value=True):
return True
case _:
return False
match call:
case p.CallExpr(
arguments=[p.LiteralExpr(value=str() as name)],
):
bound: Optional[Type] = None
variance: Variance = Variance.INVARIANT
if "bound" in call.keywords:
bound_type: p.MidasType = self._parse_type_from_expr(
call.keywords["bound"]
)
bound = self.resolve_type_expr(bound_type)
if is_kw_true("covariant"):
variance = Variance.COVARIANT
if is_kw_true("contravariant"):
if variance == Variance.COVARIANT:
self.reporter.warning(
call.keywords["contravariant"].location,
"TypeVar cannot be covariant and contravariant at the same time. Marked as invariant",
)
variance = Variance.INVARIANT
else:
variance = Variance.CONTRAVARIANT
var: TypeVar = TypeVar(name=name, bound=bound, variance=variance)
self.types.define_type(name, var)
return var
case _:
self.reporter.warning(
call.location, "Invalid usage of 'TypeVar', skipping"
)
return None
def _parse_type_from_expr(self, expr: p.Expr) -> p.MidasType:
location: Location = expr.location
parser = PythonParser()
match expr:
case p.LiteralExpr(value=str() as value):
node: ast.Expression = ast.parse(value, mode="eval")
return parser._parse_type(node.body)
case p.VariableExpr(name=name):
return p.BaseType(location=location, base=name, param=None)
case _:
raise NotImplementedError
def _get_literal(self, expr: p.Expr) -> tuple[bool, Any]:
match expr:
case p.LiteralExpr(value=value):
return True, value
case p.ListExpr(items=items):
values: list[Any] = []
for item in items:
is_lit, value = self._get_literal(item)
if not is_lit:
return False, None
values.append(value)
return True, values
case p.DictExpr(keys=keys, values=values):
pairs: list[tuple[Any, Any]] = []
for key, value in zip(keys, values):
key_val = None
if key is not None:
is_lit, key_val = self._get_literal(key)
if not is_lit:
return False, None
is_lit, value_val = self._get_literal(value)
if not is_lit:
return False, None
if key is None:
# TODO: check that value is always a dict
assert isinstance(value_val, dict)
pairs.extend(value_val.items())
else:
pairs.append((key_val, value_val))
return True, dict(pairs)
case _:
return False, None
def _evaluate_cast_statically(
self, expr: p.CastExpr, subject_type: Type, target_type: Type, lit_value: Any
) -> bool:
match target_type:
case AliasType(type=base):
return self._evaluate_cast_statically(
expr, subject_type, base, lit_value
)
case AppliedType(body=body):
return self._evaluate_cast_statically(
expr, subject_type, body, lit_value
)
case ConstraintType(type=base, constraint=constraint):
evaluated: bool = True
if not self._evaluate_cast_statically(
expr, subject_type, base, lit_value
):
evaluated = False
evaluator = Evaluator(self.types)
evaluator.set_value("_", lit_value)
res = evaluator.evaluate(constraint)
if not res:
printer = MidasPrinter()
constraint_str: str = printer.print(constraint)
self.reporter.error(
expr.location,
f"Value {lit_value!r} does not fit constraint '{constraint_str}'",
)
evaluated = False
return evaluated
case BaseType():
# TODO: do we want to allow cast(float, int)? would require runtime conversion
if not self.types.is_subtype(
subject_type, target_type
) or not self.types.is_subtype(target_type, subject_type):
self.reporter.error(
expr.location,
f"Value {lit_value!r} of type {subject_type} cannot be cast as {target_type}",
)
return False
return True
case _:
self.reporter.info(
expr.location, f"Cannot evaluate cast to {target_type} statically"
)
return False

View File

@@ -1,6 +1,8 @@
import logging
from dataclasses import dataclass
from typing import Optional
from midas.ast.midas import MemberKind
from midas.checker.builtins import BUILTIN_SUBTYPES
from midas.checker.types import (
AliasType,
@@ -22,11 +24,17 @@ from midas.checker.types import (
)
@dataclass
class Member:
kind: MemberKind
type: Type
class TypesRegistry:
def __init__(self) -> None:
self.logger: logging.Logger = logging.getLogger("TypesRegistry")
self._types: dict[str, Type] = {}
self._members: dict[str, dict[str, Type]] = {}
self._members: dict[str, dict[str, Member]] = {}
self._predicates: dict[str, Predicate] = {}
def get_type(self, name: str) -> Type:
@@ -64,26 +72,38 @@ class TypesRegistry:
return type
def define_member(
self, type_name: str, member_name: str, member_type: Type, is_method: bool
self,
type_name: str,
member_name: str,
member_type: Type,
kind: MemberKind,
):
members: dict[str, Type] = self._members.setdefault(type_name, {})
members: dict[str, Member] = self._members.setdefault(type_name, {})
if member_name in members:
if not is_method:
current: Member = members[member_name]
if current.kind != kind:
self.logger.error(
f"Member '{member_name}' already defined for type {type_name}"
f"Member '{member_name}' is already defined as a {current.kind},"
+ f" cannot define a {kind} with the same name"
)
return
current: Type = members[member_name]
if kind != MemberKind.METHOD:
self.logger.error(
f"Member '{member_name}' already defined for type {type_name},"
+ " only methods can be overloaded"
)
return
combined: Type
match current:
match current.type:
case OverloadedFunction(overloads=overloads):
combined = OverloadedFunction(overloads=overloads + [member_type])
case _:
combined = OverloadedFunction(overloads=[current, member_type])
members[member_name] = combined
combined = OverloadedFunction(overloads=[current.type, member_type])
members[member_name] = Member(kind=current.kind, type=combined)
else:
members[member_name] = member_type
members[member_name] = Member(kind=kind, type=member_type)
def define_predicate(self, name: str, predicate: Predicate):
if name in self._predicates:
@@ -110,6 +130,19 @@ class TypesRegistry:
case (_, TopType()):
return True
case (_, UnknownType()):
return True
case (TypeVar(bound=bound), _):
if bound is None:
return False
return self.is_subtype(bound, type2)
case (_, TypeVar(bound=bound)):
if bound is None:
return True
return self.is_subtype(type1, bound)
case (AliasType(type=base1), _):
return self.is_subtype(base1, type2)
@@ -127,11 +160,6 @@ class TypesRegistry:
case (Function(), Function()):
return self.is_func_subtype(type1, type2)
case (TypeVar(bound=bound), _):
if bound is None:
return False
return self.is_subtype(bound, type2)
case (ConstraintType(type=base1), _):
return self.is_subtype(base1, type2)
@@ -153,6 +181,10 @@ class TypesRegistry:
return False
return True
# TODO: verify legitimacy
case (AppliedType(body=body), _):
return self.is_subtype(body, type2)
return False
# TODO: verify the logic in here
@@ -327,13 +359,13 @@ class TypesRegistry:
case BaseType(name=name):
if name in self._members:
if member_name in self._members[name]:
return self._members[name][member_name]
return self._members[name][member_name].type
return None
case AliasType(name=name, type=base):
if name in self._members:
if member_name in self._members[name]:
return self._members[name][member_name]
return self._members[name][member_name].type
return self.lookup_member(base, member_name)
case AppliedType(name=name, body=body, args=args):
@@ -347,7 +379,7 @@ class TypesRegistry:
}
if name in self._members:
if member_name in self._members[name]:
member_type: Type = self._members[name][member_name]
member_type: Type = self._members[name][member_name].type
return substitute_typevars(member_type, substitutions)
member_type2: Optional[Type] = self.lookup_member(body, member_name)
@@ -369,6 +401,12 @@ class TypesRegistry:
)
return self.lookup_member(base, member_name)
case ConstraintType(type=base):
return self.lookup_member(base, member_name)
case TypeVar(bound=bound) if bound is not None:
return self.lookup_member(bound, member_name)
case UnknownType():
return UnknownType()

View File

@@ -61,3 +61,10 @@ class FileReporter:
location=location,
message=message,
)
def debug(self, location: Location, message: str):
self.report(
type=DiagnosticType.DEBUG,
location=location,
message=message,
)

View File

@@ -166,6 +166,9 @@ def substitute_typevars(type: Type, substitutions: dict[str, Type]) -> Type:
)
match type:
case TopType():
return type
case BaseType(name=name) if name in substitutions:
return substitutions[name]
@@ -232,6 +235,21 @@ def substitute_typevars(type: Type, substitutions: dict[str, Type]) -> Type:
return substitutions[name]
raise ValueError(f"Missing TypeVar substitution for {name}")
case GenericType(name=name, params=params, body=body):
params2: list[TypeVar] = []
for param in params:
param2: Type = substitute_typevars(param, substitutions)
if not isinstance(param2, TypeVar):
raise ValueError(
f"Invalid type parameter substitution, expected TypeVar, got {param2}"
)
params2.append(param2)
return GenericType(
name=name,
params=params2,
body=substitute_typevars(body, substitutions),
)
case UnknownType() | UnitType():
return type

169
midas/checker/unifier.py Normal file
View File

@@ -0,0 +1,169 @@
import logging
from typing import Optional
from midas.checker.registry import TypesRegistry
from midas.checker.types import (
AppliedType,
Function,
GenericType,
TopType,
Type,
TypeVar,
)
class UnificationError(Exception): ...
class Unifier:
def __init__(self, types: TypesRegistry) -> None:
self.types: TypesRegistry = types
self.logger: logging.Logger = logging.getLogger("Unifier")
def unify_call(
self,
type: GenericType,
positional: list[Type],
keywords: dict[str, Type],
) -> Optional[Type]:
concrete_func: Function = Function(
pos_args=[
Function.Argument(
pos=i,
name=str(i),
type=arg,
required=True,
)
for i, arg in enumerate(positional)
],
args=[],
kw_args=[
Function.Argument(
pos=len(positional) + i,
name=name,
type=arg,
required=True,
)
for i, (name, arg) in enumerate(keywords.items())
],
returns=TopType(), # TODO: use expected type
)
return self.unify_generic(type, concrete_func, match_return=False)
def unify_generic(
self,
template: GenericType,
concrete: Type,
match_return: bool = True,
) -> Optional[Type]:
substitutions: dict[str, Type]
try:
substitutions = self.match(template.body, concrete, match_return)
except UnificationError:
return None
args: list[Type] = []
for param in template.params:
if param.name not in substitutions:
return None
args.append(substitutions[param.name])
applied: Type = self.types.apply_generic(template, args)
return applied
def match(
self,
template: Type,
concrete: Type,
match_return: bool = True,
) -> dict[str, Type]:
# TODO: if concrete is Generic, record bound TypeVar. Then when merging
# substitutions, check that the constraint is respected
match (template, concrete):
case (TypeVar(name=name), _):
return {name: concrete}
case (
AppliedType(name=template_name, args=template_args),
AppliedType(name=concrete_name, args=concrete_args),
) if template_name == concrete_name and len(template_args) == len(
concrete_args
):
substitutions: dict[str, Type] = {}
for template_arg, concrete_arg in zip(template_args, concrete_args):
new_substistutions: dict[str, Type] = self.match(
template_arg, concrete_arg
)
substitutions = self.merge(substitutions, new_substistutions)
return substitutions
case (Function(), Function()):
mapped: list[tuple[Function.Argument, Function.Argument]] = (
self.map_params(template, concrete)
)
substitutions: dict[str, Type] = {}
for template_arg, concrete_arg in mapped:
arg_subs: dict[str, Type] = self.match(
template_arg.type, concrete_arg.type
)
substitutions = self.merge(substitutions, arg_subs)
if match_return:
return_subs: dict[str, Type] = self.match(
template.returns, concrete.returns
)
substitutions = self.merge(substitutions, return_subs)
return substitutions
case _:
self.logger.debug(f"Can't match {concrete!r} with {template!r}")
return {}
def merge(self, subs1: dict[str, Type], subs2: dict[str, Type]) -> dict[str, Type]:
merged: dict[str, Type] = subs1.copy()
for k, v in subs2.items():
if k in merged and merged[k] != v:
self.logger.debug(
f"Substitution already defined for {k} with type {merged[k]}, got {v}"
)
raise UnificationError
merged[k] = v
return merged
def map_params(
self, func1: Function, func2: Function
) -> list[tuple[Function.Argument, Function.Argument]]:
pos1: list[Function.Argument] = func1.pos_args
mixed1: list[Function.Argument] = func1.args
kw1: list[Function.Argument] = func1.kw_args
pos2: list[Function.Argument] = func2.pos_args
mixed2: list[Function.Argument] = func2.args
kw2: list[Function.Argument] = func2.kw_args
mapped: list[tuple[Function.Argument, Function.Argument]] = []
by_pos2: dict[int, Function.Argument] = {arg.pos: arg for arg in pos2 + mixed2}
by_name2: dict[str, Function.Argument] = {arg.name: arg for arg in mixed2 + kw2}
for arg1 in pos1:
if (arg2 := by_pos2.get(arg1.pos)) is not None:
mapped.append((arg1, arg2))
for arg1 in mixed1:
# Match both positionally and by name, conflicts are caught
# when merging substitutions
if (arg2 := by_pos2.get(arg1.pos)) is not None:
mapped.append((arg1, arg2))
if (arg2 := by_name2.get(arg1.name)) is not None:
mapped.append((arg1, arg2))
for arg1 in kw1:
if (arg2 := by_name2.get(arg1.name)) is not None:
mapped.append((arg1, arg2))
return mapped

View File

@@ -1,6 +1,6 @@
from typing import Literal, Optional, cast
from midas.checker.registry import TypesRegistry
from midas.checker.registry import Member, TypesRegistry
from midas.checker.types import (
AppliedType,
ConstraintType,
@@ -54,9 +54,9 @@ class VarianceInferrer:
self.tracker = Tracker(type.params)
self.walk(type.body, 1, type.name)
members: dict[str, Type] = self.types._members.get(type.name, {})
members: dict[str, Member] = self.types._members.get(type.name, {})
for name, member in members.items():
self.walk(member, 1, type.name, [f"member:'{name}'"])
self.walk(member.type, 1, type.name, [f"member:'{name}'"])
return GenericType(
name=type.name,

View File

@@ -4,5 +4,6 @@ from .format import format as format
from .highlight import highlight as highlight
from .parse import parse as parse
from .registry import dump_registry as dump_registry
from .stubs import stubs as stubs
from .types import types as types
from .validate import validate as validate

View File

@@ -19,9 +19,11 @@ from midas.utils import TypedAST
@click.command(help="Compile source")
@click.argument("file", type=click.File("r"))
@click.option("-t", "--types", type=click.File("r"), multiple=True)
@click.option("--ignore-errors", is_flag=True)
def compile(
file: TextIO,
types: tuple[TextIO],
ignore_errors: bool,
):
source: str = file.read()
source_path: Path = Path(file.name).resolve()
@@ -35,7 +37,9 @@ def compile(
printer = DiagnosticPrinter()
printer.print_all(diagnostics)
if any(map(lambda d: d.type == DiagnosticType.ERROR, diagnostics)):
if not ignore_errors and any(
map(lambda d: d.type == DiagnosticType.ERROR, diagnostics)
):
sys.exit(1)
generator = Generator(workdir=source_path.parent, types=checker.types)

View File

@@ -10,6 +10,7 @@ import click
from midas.ast.printer import MidasPrinter
from midas.checker.checker import TypeChecker
from midas.checker.registry import Member
from midas.checker.types import AliasType, AppliedType, BaseType, GenericType, Type
@@ -38,7 +39,7 @@ def dump_registry(
print("##### Types #####")
for name, type in checker.types._types.items():
members: dict[str, Type] = checker.types._members.get(name, {})
members: dict[str, Member] = checker.types._members.get(name, {})
params: str = ""
if isinstance(type, GenericType):
params = ", ".join(map(str, type.params))
@@ -46,8 +47,9 @@ def dump_registry(
print(f"{name}{params} = {base_type(type)}")
if len(members) != 0:
print(" " * 4 + "Members:")
for member_name, member_type in members.items():
print(" " * 8 + f"{member_name}: {member_type}")
for member_name, member in members.items():
kind: str = member.kind.name
print(" " * 8 + f"({kind:8}) {member_name}: {member.type}")
print("##### Predicates #####")
printer = MidasPrinter()

View File

@@ -0,0 +1,64 @@
import ast
import time
from pathlib import Path
from typing import TextIO
import black
import click
from watchdog.events import DirModifiedEvent, FileModifiedEvent, FileSystemEventHandler
from watchdog.observers import Observer
from midas.checker.checker import TypeChecker
from midas.generator.stubs import StubsGenerator
def generate_stubs(in_path: Path, out_path: Path):
checker = TypeChecker()
checker.import_midas(in_path)
generator = StubsGenerator(checker.types)
module: ast.Module = generator.generate_stubs()
module = ast.fix_missing_locations(module)
output: str = ast.unparse(module)
output = black.format_str(output, mode=black.Mode(is_pyi=True))
out_path.write_text(output)
class Handler(FileSystemEventHandler):
def __init__(self, in_path: Path, out_path: Path) -> None:
super().__init__()
self.in_path: Path = in_path
self.out_path: Path = out_path
def on_modified(self, event: DirModifiedEvent | FileModifiedEvent) -> None:
generate_stubs(self.in_path, self.out_path)
@click.command(help="Generate stubs from Midas definitions")
@click.argument("file", type=click.File("r"))
@click.option("-o", "--output", type=click.File("w"), default="-")
@click.option("-w", "--watch", is_flag=True)
def stubs(
file: TextIO,
output: TextIO,
watch: bool,
):
source_path: Path = Path(file.name).resolve()
out_path: Path = Path(output.name).resolve()
generate_stubs(source_path, out_path)
if watch:
print(f"Watching {source_path}...")
print("Press CTRL+C to stop")
handler = Handler(source_path, out_path)
observer = Observer()
observer.schedule(handler, str(source_path))
observer.start()
try:
while True:
time.sleep(1)
except KeyboardInterrupt:
observer.stop()
observer.join()

View File

@@ -41,6 +41,7 @@ def types(
message=f"Type: {type}",
)
)
diagnostics.extend(checker.diagnostics)
printer = DiagnosticPrinter()
printer.print_all(diagnostics)

View File

@@ -228,6 +228,13 @@ class PythonHighlighter(
for item in expr.items:
item.accept(self)
def visit_dict_expr(self, expr: p.DictExpr) -> None:
for key in expr.keys:
if key is not None:
key.accept(self)
for value in expr.values:
value.accept(self)
def visit_subscript_expr(self, expr: p.SubscriptExpr) -> None:
expr.object.accept(self)
expr.index.accept(self)
@@ -240,6 +247,10 @@ class PythonHighlighter(
if expr.step is not None:
expr.step.accept(self)
def visit_raw_expr(self, expr: p.RawExpr) -> None: ...
def visit_raw_stmt(self, stmt: p.RawStmt) -> None: ...
class MidasHighlighter(
Highlighter, m.Stmt.Visitor[None], m.Expr.Visitor[None], m.Type.Visitor[None]
@@ -266,8 +277,9 @@ class MidasHighlighter(
def visit_predicate_stmt(self, stmt: m.PredicateStmt) -> None:
self.wrap(stmt, "predicate")
self.wrap(LocatableToken(stmt.name), "predicate-name")
stmt.type.accept(self)
stmt.condition.accept(self)
for spec in stmt.params:
self._visit_param_spec(spec)
stmt.body.accept(self)
def visit_logical_expr(self, expr: m.LogicalExpr) -> None:
self.wrap(expr, "logical-expr")
@@ -283,6 +295,14 @@ class MidasHighlighter(
self.wrap(expr, "unary-expr")
expr.right.accept(self)
def visit_call_expr(self, expr: m.CallExpr) -> None:
self.wrap(expr, "call-expr")
expr.callee.accept(self)
for arg in expr.arguments:
arg.accept(self)
for arg in expr.keywords.values():
arg.accept(self)
def visit_get_expr(self, expr: m.GetExpr) -> None:
self.wrap(expr, "get-expr")
expr.expr.accept(self)
@@ -318,8 +338,7 @@ class MidasHighlighter(
def visit_function_type(self, type: m.FunctionType) -> None:
self.wrap(type, "function")
for arg in type.pos_args + type.args + type.kw_args:
arg.type.accept(self)
self._visit_param_spec(type.params)
type.returns.accept(self)
def visit_extension_type(self, type: m.ExtensionType) -> None:
@@ -327,6 +346,10 @@ class MidasHighlighter(
type.base.accept(self)
type.extension.accept(self)
def _visit_param_spec(self, spec: m.ParamSpec) -> None:
for param in spec.pos + spec.mixed + spec.kw:
param.type.accept(self)
class DiagnosticsHighlighter(Highlighter):
EXTRA_CSS_PATH: Optional[Path] = Path(__file__).parent / "hl_diagnostic.css"

View File

@@ -18,6 +18,7 @@ midas.add_command(commands.highlight)
midas.add_command(commands.parse)
midas.add_command(commands.dump_registry)
midas.add_command(commands.types)
midas.add_command(commands.stubs)
midas.add_command(commands.validate)

View File

@@ -1,3 +1,4 @@
from collections import defaultdict
from pathlib import Path
from typing import Optional
@@ -7,6 +8,13 @@ from midas.cli.ansi import Ansi
class DiagnosticPrinter:
COLORS: dict[DiagnosticType, int] = {
DiagnosticType.ERROR: Ansi.RED,
DiagnosticType.WARNING: Ansi.YELLOW,
DiagnosticType.INFO: Ansi.CYAN,
DiagnosticType.DEBUG: Ansi.MAGENTA,
}
def __init__(self) -> None:
self.files: dict[Optional[str], list[str]] = {}
@@ -22,10 +30,25 @@ class DiagnosticPrinter:
return self.files[filename]
def print_all(self, diagnostics: list[Diagnostic], indent: int = 4):
by_type: dict[DiagnosticType, int] = defaultdict(int)
for diagnostic in diagnostics:
filename: Optional[str] = diagnostic.file_path
lines = self.get_lines(filename)
self.print(lines, diagnostic, indent=indent)
by_type[diagnostic.type] += 1
if len(diagnostics) == 0:
return
counts: list[str] = []
for type in DiagnosticType:
if type not in by_type:
continue
count: int = by_type[type]
color: int = self.COLORS.get(type, Ansi.WHITE)
counts.append(f"{Ansi.FG(color)}{type.value}s{Ansi.RESET}: {count}")
print(" ".join(counts))
def print(self, lines: list[str], diagnostic: Diagnostic, indent: int = 4):
"""Pretty-print a diagnostic, showing some context if possible
@@ -55,11 +78,7 @@ class DiagnosticPrinter:
before: str = line[:start_offset]
after: str = line[end_offset:]
color: int = {
DiagnosticType.ERROR: Ansi.RED,
DiagnosticType.WARNING: Ansi.YELLOW,
DiagnosticType.INFO: Ansi.CYAN,
}.get(diagnostic.type, Ansi.WHITE)
color: int = self.COLORS.get(diagnostic.type, Ansi.WHITE)
subject: str = Ansi.FG(color) + line[start_offset:end_offset] + Ansi.RESET
cursor: str = (

View File

@@ -44,6 +44,7 @@ class Generator(p.Stmt.Visitor[ast.stmt], p.Expr.Visitor[ast.expr]):
self._typed_ast: TypedAST = TypedAST(
stmts=[],
judgements=[],
evaluated_casts=[],
)
self._alias_count: int = 0
self._predicate_count: int = 0
@@ -131,6 +132,10 @@ class Generator(p.Stmt.Visitor[ast.stmt], p.Expr.Visitor[ast.expr]):
def visit_cast_expr(self, expr: p.CastExpr) -> ast.expr:
expr2: ast.expr = expr.expr.accept(self)
if expr in self._typed_ast.evaluated_casts or expr.unsafe:
return expr2
alias: ast.expr = self._make_alias(expr2)
type: Type = self._get_expr_type(expr)
@@ -322,8 +327,10 @@ class Generator(p.Stmt.Visitor[ast.stmt], p.Expr.Visitor[ast.expr]):
self._make_cast_asserts(src_location, expr, base)
self._make_constraint_assert(src_location, expr, constraint)
case TypeVar():
raise RuntimeError("Unexpected TypeVar")
case TypeVar(bound=bound):
# TODO: check with type from arguments / use call-site context
if bound is not None:
self._make_cast_asserts(src_location, expr, bound)
case (
TopType()

386
midas/generator/stubs.py Normal file
View File

@@ -0,0 +1,386 @@
import ast
from typing import Optional, assert_never
import midas.ast.midas as m
from midas.checker.registry import Member, TypesRegistry
from midas.checker.types import (
AliasType,
AppliedType,
BaseType,
ComplexType,
ConstraintType,
ExtensionType,
Function,
GenericType,
OverloadedFunction,
TopType,
Type,
TypeVar,
UnitType,
UnknownType,
Variance,
substitute_typevars,
)
Empty = ast.Constant(value=...)
class StubsGenerator:
def __init__(self, types: TypesRegistry) -> None:
self.types: TypesRegistry = types
self.stubs: list[ast.stmt] = []
self.typing_imports: set[str] = set()
self.protocol_idx: int = 0
self.stub_idx: int = 0
self.type_var_idx: int = 0
self.substitutions: dict[str, dict[str, Type]] = {}
def generate_stubs(self) -> ast.Module:
self.stubs = []
self.typing_imports = set()
for name, type in self.types._types.items():
# Skip builtin types, not just based on name so the user can override
# TODO: check if added members on builtin type
match type:
case BaseType(name=name_) if name == name_:
continue
case GenericType(
name=name1,
body=BaseType(name=name2),
) if (
name == name1 == name2
):
continue
self.generate_stub(name, type)
imports = [
ast.ImportFrom(
module="__future__",
names=[ast.alias(name="annotations")],
level=0,
)
]
if len(self.typing_imports) != 0:
imports.append(
ast.ImportFrom(
module="typing",
names=[
ast.alias(name=name) for name in sorted(self.typing_imports)
],
level=0,
)
)
return ast.Module(body=imports + self.stubs, type_ignores=[])
def generate_stub(self, name: str, type: Type):
base_type: Type = type
members: dict[str, Member] = self.types._members.get(name, {})
if isinstance(base_type, (BaseType, TopType, UnitType)) and len(members) == 0:
return
bases: list[ast.expr] = []
substitutions: dict[str, Type] = {}
bases, substitutions = self.get_bases(type)
self.substitutions[name] = substitutions
body = self.generate_body(members, substitutions)
stub = ast.ClassDef(
name=name,
bases=bases,
body=body,
keywords=[],
decorator_list=[],
)
self.add_stub(stub)
def get_bases(self, type: Type) -> tuple[list[ast.expr], dict[str, Type]]:
match type:
case AliasType(type=base):
return [self.dump_type(base)], {}
case GenericType(params=params, body=body):
self.add_typing_import("Generic")
type_vars: ast.expr
params2: list[TypeVar] = self.define_type_vars(params)
if len(params) == 1:
type_vars = ast.Name(id=params2[0].name)
else:
type_vars = ast.Tuple(
elts=[ast.Name(id=param.name) for param in params2]
)
substitutions: dict[str, TypeVar] = {
param.name: param2 for param, param2 in zip(params, params2)
}
body_bases, body_subsitutions = self.get_bases(body)
return (
body_bases
+ [
ast.Subscript(
value=ast.Name(id="Generic"),
slice=type_vars,
)
],
body_subsitutions | substitutions,
)
case ConstraintType(type=base):
return self.get_bases(base)
case TypeVar(bound=bound) if bound is not None:
return [self.dump_type(bound)], {}
case _:
return [], {}
def generate_body(
self, members: dict[str, Member], substitutions: dict[str, Type]
) -> list[ast.stmt]:
if len(members) == 0:
return [ast.Expr(value=Empty)]
body: list[ast.stmt] = []
for name, member in members.items():
type: Type = member.type
type = substitute_typevars(type, substitutions)
match member.kind:
case m.MemberKind.PROPERTY:
body.append(
ast.AnnAssign(
target=ast.Name(id=name),
annotation=self.dump_type(type),
simple=1,
)
)
case m.MemberKind.METHOD:
body.extend(self.dump_method(name, type))
return body
def dump_type(self, type: Type) -> ast.expr:
match type:
case AliasType(name=name) | GenericType(name=name) if (
name in self.substitutions
):
type = substitute_typevars(type, self.substitutions[name])
match type:
case TopType() | UnknownType():
self.add_typing_import("Any")
return ast.Name(id="Any")
case BaseType(name=name):
return ast.Name(id=name)
case AliasType(name=name):
return ast.Name(id=name)
case UnitType():
return ast.Constant(value=None)
case Function():
name: str = self.define_protocol(type)
return ast.Name(id=name)
case OverloadedFunction(overloads=overloads):
if len(overloads) == 1:
return self.dump_type(overloads[0])
return ast.BinOp(
left=self.dump_type(OverloadedFunction(overloads=overloads[:-1])),
op=ast.BitOr(),
right=self.dump_type(overloads[-1]),
)
case ComplexType():
name: str = self.new_stub_name()
self.generate_stub(name, type)
return ast.Name(id=name)
case ExtensionType():
raise NotImplementedError
case TypeVar():
return ast.Name(id=type.name)
case GenericType(name=name):
params: ast.expr
if len(type.params) == 1:
params = self.dump_type(type.params[0])
else:
params = ast.Tuple(
elts=[self.dump_type(param) for param in type.params]
)
return ast.Subscript(
value=ast.Name(id=type.name),
slice=params,
)
case AppliedType():
args: ast.expr
if len(type.args) == 1:
args = self.dump_type(type.args[0])
else:
args = ast.Tuple(elts=[self.dump_type(arg) for arg in type.args])
return ast.Subscript(
value=ast.Name(id=type.name),
slice=args,
)
case ConstraintType():
return self.dump_type(type.type)
case _:
assert_never(type)
def dump_method(
self, name: str, method: Type, overloaded: bool = False
) -> list[ast.stmt]:
match method:
case Function():
if overloaded:
self.add_typing_import("overload")
return [
ast.FunctionDef(
name=name,
args=self.dump_args(method, with_self=True),
returns=self.dump_type(method.returns),
body=[ast.Expr(value=Empty)],
decorator_list=[ast.Name(id="overload")] if overloaded else [],
)
]
case OverloadedFunction(overloads=overloads):
stmts: list[ast.stmt] = []
for overload in overloads:
stmts.extend(self.dump_method(name, overload, True))
return stmts
case _:
return [
ast.AnnAssign(
target=ast.Name(id=name),
annotation=self.dump_type(method),
simple=1,
)
]
def dump_args(self, func: Function, with_self: bool = False) -> ast.arguments:
pos: list[ast.arg] = [
ast.arg(arg=f"_{arg.pos}", annotation=self.dump_type(arg.type))
for arg in func.pos_args
]
mixed: list[ast.arg] = [
ast.arg(arg=arg.name, annotation=self.dump_type(arg.type))
for arg in func.args
]
kw: list[ast.arg] = [
ast.arg(arg=arg.name, annotation=self.dump_type(arg.type))
for arg in func.kw_args
]
defaults: list[ast.expr] = [
Empty for arg in func.pos_args + func.args if not arg.required
]
kw_defaults: list[Optional[ast.expr]] = [
None if arg.required else Empty for arg in func.kw_args
]
if with_self:
arg = ast.arg(arg="self", annotation=None)
if len(pos) != 0:
pos.insert(0, arg)
else:
mixed.insert(0, arg)
return ast.arguments(
posonlyargs=pos,
args=mixed,
kwonlyargs=kw,
defaults=defaults,
kw_defaults=kw_defaults,
)
def define_protocol(self, func: Function) -> str:
self.add_typing_import("Protocol")
name: str = self.new_protocol_name()
protocol = ast.ClassDef(
name=name,
bases=[ast.Name(id="Protocol")],
keywords=[],
body=[
ast.FunctionDef(
name="__call__",
args=self.dump_args(func, with_self=True),
returns=self.dump_type(func.returns),
body=[ast.Expr(value=Empty)],
decorator_list=[],
),
],
decorator_list=[],
)
self.add_stub(protocol)
return name
def new_protocol_name(self) -> str:
name: str = f"_Protocol{self.protocol_idx}"
self.protocol_idx += 1
return name
def new_stub_name(self) -> str:
name: str = f"_Stub_{self.stub_idx}"
self.stub_idx += 1
return name
def new_type_var_name(self) -> str:
name: str = f"_T{self.type_var_idx}"
self.type_var_idx += 1
return name
def add_stub(self, stub: ast.stmt):
self.stubs.append(stub)
def add_typing_import(self, name: str):
self.typing_imports.add(name)
def define_type_vars(self, vars: list[TypeVar]) -> list[TypeVar]:
vars2: list[TypeVar] = []
for var in vars:
vars2.append(self.define_type_var(var))
return vars2
def define_type_var(self, var: TypeVar) -> TypeVar:
name: str = self.new_type_var_name()
self.add_typing_import("TypeVar")
kwargs: list[ast.keyword] = []
if var.bound is not None:
kwargs.append(
ast.keyword(
arg="bound",
value=self.dump_type(var.bound),
)
)
if var.variance == Variance.COVARIANT:
kwargs.append(
ast.keyword(
arg="covariant",
value=ast.Constant(value=True),
)
)
elif var.variance == Variance.CONTRAVARIANT:
kwargs.append(
ast.keyword(
arg="contravariant",
value=ast.Constant(value=True),
)
)
self.add_stub(
ast.Assign(
targets=[ast.Name(id=name)],
value=ast.Call(
func=ast.Name(id="TypeVar"),
args=[
ast.Constant(value=name),
],
keywords=kwargs,
),
)
)
return TypeVar(name=name, bound=None)

View File

@@ -49,6 +49,7 @@ class UnsupportedSyntaxError(Exception):
class PythonParser:
CAST_FUNCTION = "cast"
UNSAFE_CAST_FUNCTION = "unsafe_cast"
def parse_module(self, node: ast.Module) -> list[Stmt]:
statements: list[Stmt] = []
@@ -423,6 +424,9 @@ class PythonParser:
case ast.Call(func=ast.Name(id=self.CAST_FUNCTION)):
return self.parse_cast(node)
case ast.Call(func=ast.Name(id=self.UNSAFE_CAST_FUNCTION)):
return self.parse_cast(node)
case ast.Call():
return self.parse_call(node)
@@ -527,16 +531,19 @@ class PythonParser:
return expr
def parse_cast(self, node: ast.Call) -> CastExpr:
assert isinstance(node.func, ast.Name)
func: str = node.func.id
match node:
case ast.Call(args=[type, expr], keywords=[]):
return CastExpr(
location=Location.from_ast(node),
type=self._parse_type(type),
expr=self.parse_expr(expr),
unsafe=func == self.UNSAFE_CAST_FUNCTION,
)
case _:
raise InvalidSyntaxError(
f"Invalid call to {self.CAST_FUNCTION}, expected type and expression"
f"Invalid call to {func}, expected type and expression"
)
def parse_call(self, node: ast.Call) -> CallExpr:

34
midas/typing.py Normal file
View File

@@ -0,0 +1,34 @@
from typing import cast as typing_cast
cast = typing_cast
"""### Midas documentation
Cast a value to a type.
- **Compile-time**: tells the type checker that the return value has the designated type.
- **Run-time**: generates assertions to ensure the value can be interpreted as the given type.
---
<br>
<br>
<br>
_**Internal Python documentation**_
"""
unsafe_cast = typing_cast
"""### Midas documentation
Cast a value to a type.
- **Compile-time**: tells the type checker that the return value has the designated type.
- **Run-time**: -
This operation is unsound, use at your own risk!
---
<br>
<br>
<br>
_**Internal Python documentation**_
"""

View File

@@ -62,3 +62,4 @@ class UniversalJSONDumper:
class TypedAST:
stmts: list[p.Stmt]
judgements: list[tuple[p.Expr, Type]]
evaluated_casts: list[p.CastExpr]

View File

@@ -8,7 +8,11 @@ authors = [
{ name = "Louis Heredero", email = "louis.heredero@students.hevs.ch" },
]
classifiers = ["Programming Language :: Python :: 3"]
dependencies = ["click>=8.4.1"]
dependencies = [
"black>=26.5.1",
"click>=8.4.1",
"watchdog>=6.0.0",
]
[project.urls]
Homepage = "https://git.kbk28.ch/HEL/midas"

View File

@@ -1,6 +1,19 @@
{
"diagnostics": [],
"judgments": [
{
"location": {
"from": "L4:30",
"to": "L4:36"
},
"expr": {
"_type": "LiteralExpr",
"value": 123.45
},
"type": {
"name": "float"
}
},
{
"location": {
"from": "L4:18",
@@ -16,7 +29,8 @@
"expr": {
"_type": "LiteralExpr",
"value": 123.45
}
},
"unsafe": false
},
"type": {
"name": "Meter",
@@ -25,6 +39,19 @@
}
}
},
{
"location": {
"from": "L5:28",
"to": "L5:31"
},
"expr": {
"_type": "LiteralExpr",
"value": 6.7
},
"type": {
"name": "float"
}
},
{
"location": {
"from": "L5:15",
@@ -40,7 +67,8 @@
"expr": {
"_type": "LiteralExpr",
"value": 6.7
}
},
"unsafe": false
},
"type": {
"name": "Second",

View File

@@ -0,0 +1,14 @@
def double(value: float) -> float:
return value * 2
def is_odd(value: int) -> bool:
return bool(value % 2)
floats: list[float] = [0.2, 0.5, 0.1, 1.2]
ints: list[int] = [1, 2, 6, -3]
doubled_floats = map(double, floats)
doubled_ints = map(double, ints)
odd_ints = map(is_odd, ints)

View File

@@ -0,0 +1,874 @@
{
"diagnostics": [
{
"type": "Error",
"location": {
"start": [
13,
15
],
"end": [
13,
32
]
},
"message": "Could not unify map[T, U]=(transform: (v: T, /) -> U, iterable: list[T], /) -> list[U] with pos=[(value: float) -> float, list[int]] and kw={}"
}
],
"judgments": [
{
"location": {
"from": "L2:11",
"to": "L2:16"
},
"expr": {
"_type": "VariableExpr",
"name": "value"
},
"type": {
"name": "float"
}
},
{
"location": {
"from": "L2:19",
"to": "L2:20"
},
"expr": {
"_type": "LiteralExpr",
"value": 2
},
"type": {
"name": "int"
}
},
{
"location": {
"from": "L2:11",
"to": "L2:20"
},
"expr": {
"_type": "BinaryExpr",
"left": {
"_type": "VariableExpr",
"name": "value"
},
"operator": "*",
"right": {
"_type": "LiteralExpr",
"value": 2
}
},
"type": {
"name": "float"
}
},
{
"location": {
"from": "L6:11",
"to": "L6:15"
},
"expr": {
"_type": "VariableExpr",
"name": "bool"
},
"type": {
"pos_args": [
{
"pos": 0,
"name": "object",
"type": {},
"required": false
}
],
"args": [],
"kw_args": [],
"returns": {
"name": "bool"
}
}
},
{
"location": {
"from": "L6:16",
"to": "L6:21"
},
"expr": {
"_type": "VariableExpr",
"name": "value"
},
"type": {
"name": "int"
}
},
{
"location": {
"from": "L6:24",
"to": "L6:25"
},
"expr": {
"_type": "LiteralExpr",
"value": 2
},
"type": {
"name": "int"
}
},
{
"location": {
"from": "L6:16",
"to": "L6:25"
},
"expr": {
"_type": "BinaryExpr",
"left": {
"_type": "VariableExpr",
"name": "value"
},
"operator": "%",
"right": {
"_type": "LiteralExpr",
"value": 2
}
},
"type": {
"name": "int"
}
},
{
"location": {
"from": "L6:11",
"to": "L6:26"
},
"expr": {
"_type": "CallExpr",
"callee": {
"_type": "VariableExpr",
"name": "bool"
},
"arguments": [
{
"_type": "BinaryExpr",
"left": {
"_type": "VariableExpr",
"name": "value"
},
"operator": "%",
"right": {
"_type": "LiteralExpr",
"value": 2
}
}
],
"keywords": {}
},
"type": {
"name": "bool"
}
},
{
"location": {
"from": "L9:23",
"to": "L9:26"
},
"expr": {
"_type": "LiteralExpr",
"value": 0.2
},
"type": {
"name": "float"
}
},
{
"location": {
"from": "L9:28",
"to": "L9:31"
},
"expr": {
"_type": "LiteralExpr",
"value": 0.5
},
"type": {
"name": "float"
}
},
{
"location": {
"from": "L9:33",
"to": "L9:36"
},
"expr": {
"_type": "LiteralExpr",
"value": 0.1
},
"type": {
"name": "float"
}
},
{
"location": {
"from": "L9:38",
"to": "L9:41"
},
"expr": {
"_type": "LiteralExpr",
"value": 1.2
},
"type": {
"name": "float"
}
},
{
"location": {
"from": "L9:22",
"to": "L9:42"
},
"expr": {
"_type": "ListExpr",
"items": [
{
"_type": "LiteralExpr",
"value": 0.2
},
{
"_type": "LiteralExpr",
"value": 0.5
},
{
"_type": "LiteralExpr",
"value": 0.1
},
{
"_type": "LiteralExpr",
"value": 1.2
}
]
},
"type": {
"name": "list",
"args": [
{
"name": "float"
}
],
"body": {
"name": "list"
}
}
},
{
"location": {
"from": "L10:19",
"to": "L10:20"
},
"expr": {
"_type": "LiteralExpr",
"value": 1
},
"type": {
"name": "int"
}
},
{
"location": {
"from": "L10:22",
"to": "L10:23"
},
"expr": {
"_type": "LiteralExpr",
"value": 2
},
"type": {
"name": "int"
}
},
{
"location": {
"from": "L10:25",
"to": "L10:26"
},
"expr": {
"_type": "LiteralExpr",
"value": 6
},
"type": {
"name": "int"
}
},
{
"location": {
"from": "L10:29",
"to": "L10:30"
},
"expr": {
"_type": "LiteralExpr",
"value": 3
},
"type": {
"name": "int"
}
},
{
"location": {
"from": "L10:28",
"to": "L10:30"
},
"expr": {
"_type": "UnaryExpr",
"operator": "-",
"right": {
"_type": "LiteralExpr",
"value": 3
}
},
"type": {
"name": "int"
}
},
{
"location": {
"from": "L10:18",
"to": "L10:31"
},
"expr": {
"_type": "ListExpr",
"items": [
{
"_type": "LiteralExpr",
"value": 1
},
{
"_type": "LiteralExpr",
"value": 2
},
{
"_type": "LiteralExpr",
"value": 6
},
{
"_type": "UnaryExpr",
"operator": "-",
"right": {
"_type": "LiteralExpr",
"value": 3
}
}
]
},
"type": {
"name": "list",
"args": [
{
"name": "int"
}
],
"body": {
"name": "list"
}
}
},
{
"location": {
"from": "L12:17",
"to": "L12:20"
},
"expr": {
"_type": "VariableExpr",
"name": "map"
},
"type": {
"name": "map",
"params": [
{
"name": "T",
"bound": null,
"variance": "INVARIANT"
},
{
"name": "U",
"bound": null,
"variance": "INVARIANT"
}
],
"body": {
"pos_args": [
{
"pos": 0,
"name": "transform",
"type": {
"pos_args": [
{
"pos": 0,
"name": "v",
"type": {
"name": "T",
"bound": null,
"variance": "INVARIANT"
},
"required": true
}
],
"args": [],
"kw_args": [],
"returns": {
"name": "U",
"bound": null,
"variance": "INVARIANT"
}
},
"required": true
},
{
"pos": 1,
"name": "iterable",
"type": {
"name": "list",
"args": [
{
"name": "T",
"bound": null,
"variance": "INVARIANT"
}
],
"body": {
"name": "list"
}
},
"required": true
}
],
"args": [],
"kw_args": [],
"returns": {
"name": "list",
"args": [
{
"name": "U",
"bound": null,
"variance": "INVARIANT"
}
],
"body": {
"name": "list"
}
}
}
}
},
{
"location": {
"from": "L12:21",
"to": "L12:27"
},
"expr": {
"_type": "VariableExpr",
"name": "double"
},
"type": {
"pos_args": [],
"args": [
{
"pos": 0,
"name": "value",
"type": {
"name": "float"
},
"required": true
}
],
"kw_args": [],
"returns": {
"name": "float"
}
}
},
{
"location": {
"from": "L12:29",
"to": "L12:35"
},
"expr": {
"_type": "VariableExpr",
"name": "floats"
},
"type": {
"name": "list",
"args": [
{
"name": "float"
}
],
"body": {
"name": "list"
}
}
},
{
"location": {
"from": "L12:17",
"to": "L12:36"
},
"expr": {
"_type": "CallExpr",
"callee": {
"_type": "VariableExpr",
"name": "map"
},
"arguments": [
{
"_type": "VariableExpr",
"name": "double"
},
{
"_type": "VariableExpr",
"name": "floats"
}
],
"keywords": {}
},
"type": {
"name": "list",
"args": [
{
"name": "float"
}
],
"body": {
"name": "list"
}
}
},
{
"location": {
"from": "L13:15",
"to": "L13:18"
},
"expr": {
"_type": "VariableExpr",
"name": "map"
},
"type": {
"name": "map",
"params": [
{
"name": "T",
"bound": null,
"variance": "INVARIANT"
},
{
"name": "U",
"bound": null,
"variance": "INVARIANT"
}
],
"body": {
"pos_args": [
{
"pos": 0,
"name": "transform",
"type": {
"pos_args": [
{
"pos": 0,
"name": "v",
"type": {
"name": "T",
"bound": null,
"variance": "INVARIANT"
},
"required": true
}
],
"args": [],
"kw_args": [],
"returns": {
"name": "U",
"bound": null,
"variance": "INVARIANT"
}
},
"required": true
},
{
"pos": 1,
"name": "iterable",
"type": {
"name": "list",
"args": [
{
"name": "T",
"bound": null,
"variance": "INVARIANT"
}
],
"body": {
"name": "list"
}
},
"required": true
}
],
"args": [],
"kw_args": [],
"returns": {
"name": "list",
"args": [
{
"name": "U",
"bound": null,
"variance": "INVARIANT"
}
],
"body": {
"name": "list"
}
}
}
}
},
{
"location": {
"from": "L13:19",
"to": "L13:25"
},
"expr": {
"_type": "VariableExpr",
"name": "double"
},
"type": {
"pos_args": [],
"args": [
{
"pos": 0,
"name": "value",
"type": {
"name": "float"
},
"required": true
}
],
"kw_args": [],
"returns": {
"name": "float"
}
}
},
{
"location": {
"from": "L13:27",
"to": "L13:31"
},
"expr": {
"_type": "VariableExpr",
"name": "ints"
},
"type": {
"name": "list",
"args": [
{
"name": "int"
}
],
"body": {
"name": "list"
}
}
},
{
"location": {
"from": "L13:15",
"to": "L13:32"
},
"expr": {
"_type": "CallExpr",
"callee": {
"_type": "VariableExpr",
"name": "map"
},
"arguments": [
{
"_type": "VariableExpr",
"name": "double"
},
{
"_type": "VariableExpr",
"name": "ints"
}
],
"keywords": {}
},
"type": {}
},
{
"location": {
"from": "L14:11",
"to": "L14:14"
},
"expr": {
"_type": "VariableExpr",
"name": "map"
},
"type": {
"name": "map",
"params": [
{
"name": "T",
"bound": null,
"variance": "INVARIANT"
},
{
"name": "U",
"bound": null,
"variance": "INVARIANT"
}
],
"body": {
"pos_args": [
{
"pos": 0,
"name": "transform",
"type": {
"pos_args": [
{
"pos": 0,
"name": "v",
"type": {
"name": "T",
"bound": null,
"variance": "INVARIANT"
},
"required": true
}
],
"args": [],
"kw_args": [],
"returns": {
"name": "U",
"bound": null,
"variance": "INVARIANT"
}
},
"required": true
},
{
"pos": 1,
"name": "iterable",
"type": {
"name": "list",
"args": [
{
"name": "T",
"bound": null,
"variance": "INVARIANT"
}
],
"body": {
"name": "list"
}
},
"required": true
}
],
"args": [],
"kw_args": [],
"returns": {
"name": "list",
"args": [
{
"name": "U",
"bound": null,
"variance": "INVARIANT"
}
],
"body": {
"name": "list"
}
}
}
}
},
{
"location": {
"from": "L14:15",
"to": "L14:21"
},
"expr": {
"_type": "VariableExpr",
"name": "is_odd"
},
"type": {
"pos_args": [],
"args": [
{
"pos": 0,
"name": "value",
"type": {
"name": "int"
},
"required": true
}
],
"kw_args": [],
"returns": {
"name": "bool"
}
}
},
{
"location": {
"from": "L14:23",
"to": "L14:27"
},
"expr": {
"_type": "VariableExpr",
"name": "ints"
},
"type": {
"name": "list",
"args": [
{
"name": "int"
}
],
"body": {
"name": "list"
}
}
},
{
"location": {
"from": "L14:11",
"to": "L14:28"
},
"expr": {
"_type": "CallExpr",
"callee": {
"_type": "VariableExpr",
"name": "map"
},
"arguments": [
{
"_type": "VariableExpr",
"name": "is_odd"
},
{
"_type": "VariableExpr",
"name": "ints"
}
],
"keywords": {}
},
"type": {
"name": "list",
"args": [
{
"name": "bool"
}
],
"body": {
"name": "list"
}
}
}
]
}

View File

@@ -7,68 +7,14 @@ Module(
alias(name='Meter'),
alias(name='Second')],
level=0),
Assign(
targets=[
Name(id='__midas_a0__')],
value=Constant(value=123.45)),
Assert(
test=Call(
func=Name(id='isinstance'),
args=[
Name(id='__midas_a0__'),
Name(id='float')],
keywords=[]),
msg=JoinedStr(
values=[
Constant(value='01_simple_types.py:L3:19: CastError: Cannot cast '),
FormattedValue(
value=Attribute(
value=Call(
func=Name(id='type'),
args=[
Name(id='__midas_a0__')],
keywords=[]),
attr='__name__'),
conversion=-1),
Constant(value=' to float')])),
Assign(
targets=[
Name(id='distance')],
value=Name(id='__midas_a0__')),
Delete(
targets=[
Name(id='__midas_a0__')]),
Assign(
targets=[
Name(id='__midas_a1__')],
value=Constant(value=6.7)),
Assert(
test=Call(
func=Name(id='isinstance'),
args=[
Name(id='__midas_a1__'),
Name(id='float')],
keywords=[]),
msg=JoinedStr(
values=[
Constant(value='01_simple_types.py:L4:16: CastError: Cannot cast '),
FormattedValue(
value=Attribute(
value=Call(
func=Name(id='type'),
args=[
Name(id='__midas_a1__')],
keywords=[]),
attr='__name__'),
conversion=-1),
Constant(value=' to float')])),
value=Constant(value=123.45)),
Assign(
targets=[
Name(id='time')],
value=Name(id='__midas_a1__')),
Delete(
targets=[
Name(id='__midas_a1__')]),
value=Constant(value=6.7)),
Assign(
targets=[
Name(id='speed')],

View File

@@ -263,6 +263,7 @@ class PythonAstJsonSerializer(
"_type": "CastExpr",
"type": expr.type.accept(self),
"expr": expr.expr.accept(self),
"unsafe": expr.unsafe,
}
def visit_ternary_expr(self, expr: TernaryExpr) -> dict: