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HEL/TB-Docs:main
HEL/TB-Docs:official
...
compare: HEL/TB-Docs:main
Branches Tags
HEL/TB-Docs:main
HEL/TB-Docs:official
14 Commits
56280ee009 ... main
Author SHA1 Message Date
HEL 873dc440b8 fix(report): correct T-Assign 
thanks @sjrd and @kyouko-taiga
 2026-08-24 14:01:29 +02:00
HEL 123a65addf fix: minor typo 
missing 'r' in 'Programming'
thanks @pmudry
 2026-08-24 13:59:44 +02:00
HEL c5b703efe8 fix(presentation): minor tweaks 2026-08-24 01:10:58 +02:00
HEL 4a69fb5e62 fix(presentation): finishing touches 
add progress bar, tweak animations, adjust spacing, add conclusion
 2026-08-23 23:24:21 +02:00
HEL 908ae6b779 feat(presentation): present and future 2026-08-23 23:06:25 +02:00
HEL d68352ba9b fix(presentation): tweak midas slides 2026-08-21 17:16:48 +02:00
HEL d1bece9cfe feat(presentation): more slides on typing 2026-08-21 12:28:14 +02:00
HEL 182d44d2f3 feat(presentation): init 2026-08-19 15:34:21 +02:00
HEL 27bc87cf5c fix(poster): improve 
remove redundant parts, rephrase, add example of error
 2026-08-15 01:37:14 +02:00
HEL 82dc2545b9 feat(poster): first draft 2026-08-09 22:43:21 +02:00
HEL 74398852d6 feat(poster): init poster 2026-08-07 14:57:43 +02:00
HEL a2ebfb435c feat(report): add link to report repository 2026-07-24 01:04:30 +02:00
HEL 032f3690d2 feat(summary): write executive summary 2026-07-24 00:53:42 +02:00
HEL 76c39a7c2e fix(report): minor tweaks 2026-07-23 22:13:46 +02:00
32 changed files with 3020 additions and 14 deletions
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justfile
+18 -1
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@@ -6,6 +6,10 @@ set shell := ["bash", "-uc"]
outdir := "out"
report_out_path := outdir / "report.pdf"
summary_out_path := outdir / "summary.pdf"
poster_out_path := outdir / "poster.pdf"
presentation_out_path := outdir / "presentation.pdf"
presentation_handout_path := outdir / "presentation_handout.pdf"
presentation_pdfpc_path := outdir / "presentation.pdfpc"
default: all
@@ -35,4 +39,17 @@ report: _setup
summary: _setup
typst c --root . summary/exec_summary.typ {{summary_out_path}}
all: report summary
poster: _setup
typst c --root . poster/poster.typ {{poster_out_path}}
presentation: _setup
typst c --root . presentation/presentation.typ {{presentation_out_path}}
typst eval --root . 'query(<pdfpc-file>).first().value' --in presentation/presentation.typ > {{presentation_pdfpc_path}}
presentation-handout: _setup
typst c --root . --input handout=true presentation/presentation.typ {{presentation_handout_path}}
present: presentation
pdfpc {{presentation_out_path}}
all: report summary poster presentation presentation-handout
poster/figs/qr_docs.svg
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poster/figs/qrs.py
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import qrcode
import qrcode.constants
from qrcode.image.svg import SvgPathImage
def main():
urls: dict[str, str | tuple[str, int | None]] = {
"gitea": "https://git.kb28.ch/HEL/midas",
"github": "https://github.com/LordBaryhobal/midas",
"docs": "https://git.kb28.ch/HEL/TB-Docs",
}
factory = SvgPathImage
for name, url in urls.items():
version: int | None = 4
if isinstance(url, tuple):
url, version = url
qr = qrcode.QRCode(error_correction=qrcode.constants.ERROR_CORRECT_Q, version=version)
qr.add_data(url)
qr.make()
img = qr.make_image(image_factory=factory)
img.save(f"qr_{name}.svg")
if __name__ == "__main__":
main()
poster/poster.typ
+207
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@@ -0,0 +1,207 @@
// ___ ____ ____ _ _ _____ ___
// |_ _/ ___| / ___| | | | | ____|_ _| Informatique et
// | |\___ \| | ___ | |_| | _| | | systèmes de communication
// | | ___) | |__|___| | _ | |___ | | HEI Sion · HES-SO Valais / mui 24-26
// |___|____/ \____| |_| |_|_____|___|
//
// 52 65 61 64 69 6e 67 20 68 65 78 20 66 6f 72 20 66 75 6e 3f 20 49 53 43 20 66 6f 72 65 76 65 72
//
#import "@preview/isc-hei-poster:0.8.1": isc-poster, isc-card, isc-colbreak
#import "@preview/cetz:0.5.2": canvas, draw
#import "../meta.typ"
#import "../report/figs/architecture.typ"
#import "@local/codly:1.3.1": codly, codly-init, local
#import "@preview/codly-languages:0.1.10": codly-languages
#let poster-orientation = "portrait"
#show: codly-init
#codly(
languages: codly-languages
+ (
midas: (
name: "Midas",
color: rgb("#eedd47"),
icon: box(
image(
"../assets/icon.svg",
height: 130%,
fit: "contain",
),
),
),
),
)
#set raw(
syntaxes: path("../midas.sublime-syntax")
)
#show raw.where(block: true): set text(size: 0.9em)
/*
#show columns: it => {
it
place(
top + center,
//dx: 0cm,
//dy: 21cm,
dx: -6cm,
dy: 21.3cm,
rect(
stroke: gray + 2pt,
fill: white,
radius: 0.5cm,
//image("../assets/icon.svg", width: 3cm)
image("../assets/icon.svg", width: 4cm)
)
)
}
*/
#show: isc-poster.with(
title: meta.title,
subtitle: meta.subtitle,
student: meta.authors,
permanent-email: meta.permanent-email,
supervisor:meta.thesis-supervisor,
co-supervisor: none,
expert: meta.thesis-expert,
thesis-id: meta.thesis-id,
academic-year: "2025-2026",
school: meta.school,
programme: "Informatique et systèmes de communication",
major: meta.major,
orientation: poster-orientation,
language: "en", // Valid values are [en, fr, de]
num-columns: 2,
distribute-columns: true,
)
#let Midas = [_*Midas*_]
#isc-card(title: "Summary")[
Python is one of the most popular programming languages, especially in data science. Although highly flexible and somewhat easy to learn, its leniency can often lead to type errors. Indeed, with duck-typing, the developer is responsible for making sure operations are valid and do what they are meant to do.
This project introduces #Midas, a new type system built on top of Python's type hints, capable of checking types at *compile-time* and generating *runtime assertions* for cases that are not statically known.
#Midas allows users to define *custom types* in a simple DSL, use them in Python type hints and compile their code to a fully type-checked script with added assertions.
Its typing rules are stricter than Python's and allow typing complex *operations on Pandas dataframes*, as well as *dependent types*.
]
#isc-card(title: "Motivations")[
In real world data science, values may come in a variety of forms.
Sometimes they can be mixed but sometimes they cannot.
This is exactly what happened to NASA's Mars Climate Orbiter, which failed its orbital insertion because of a unit mixup@MCOReport.
While some programming languages use some form of static typing, Python applies the principles of _duck-typing_. This defers attributes and methods checks to *runtime* access, and omits any real type checks.
For example, the following:
```python
price_chf = 3.2
price_usd = 9.5
total = price_chf + price_usd
```
is perfectly valid Python code that will execute without error and even pass static type checking. However, the result will be a meaningless combination of two float values of different types.
#Midas was created to help developers and data engineers by (1)~allowing custom type definitions in a more powerful language than Python's type annotations, (2)~strictly carrying out static type checking and (3)~generating assertions to verify at runtime values which cannot be checked statically. This new type system also allows users to define some *dependent types*.
]
#isc-card(title: "Implementation")[
The type checker is composed of four main elements, as shown in @fig:architecture:
- *Types Registry*: holds all builtin and user-defined types
- *Midas Typer*: parses custom definitions and registers types
- *Python Typer*: checks Python source code
- *Generator*: inserts runtime assertions to produce a runnable script
#figure(
{
set par(justify: false)
architecture.overview
},
caption: [Implementation architecture overview]
) <fig:architecture>
First, typing rules were formally defined, drawing heavily on _Types and Programming Languages_@tapl.
The implementation of the parser for the definition language follows R. Nystrom's _Crafting Interpreters_@Nystrom2021. The whole system is itself implemented in Python, leveraging the language's own `ast` module to parse and manipulate source code.
The type checker also includes some machinery to infer the result types of several *dataframe operations* and *aggregation methods*.
]
#isc-colbreak()
#isc-card(title: "Results")[
Developers can define *custom types* and *predicates* using the Midas language. *Dependent types* and *dataframe schemas* are supported, as shown in @fig:example-midas.
#codly(
header: [types.midas]
)
#figure(
```midas
predicate not_empty(text: str) = len(text) != 0
type Height = float where _ >= 0
alias People = Frame[
name: str where not_empty(_),
height: Height
]
```,
caption: [Example custom type definitions]
) <fig:example-midas>
These types can then be used in a regular Python script. Running the type checker and compiler will then produce _diagnostics_. Some may be simple warnings about unknown variables, but definite type errors will prevent compilation. As demonstrated in @fig:example-python, type checking of dataframe operations is rather extensive, providing great coverage of common data science applications.
#codly(
header: [script.py],
highlights: (
(
line: 3,
start: 11,
tag: [#h(2pt)Column[Height]],
fill: blue.lighten(60%)
),
(
line: 4,
start: 17,
tag: [#h(2pt)Height],
fill: blue.lighten(60%)
),
)
)
#figure(
```python
import pandas as pd
people: People = cast(People, pd.read_csv(...))
heights = people["height"]
median_height = heights.median()
```,
caption: [Example type checking of dataframe operations]
) <fig:example-python>
Cast expressions such as in @fig:example-python:2 insert runtime assertions to check that values do conform to the expected type.
]
#let repos = (
([Main repository], path("figs/qr_gitea.svg"), meta.project-repos),
([Mirror], path("figs/qr_github.svg"), meta.mirror-repo),
)
#isc-card(title: "Conclusion")[
#Midas provides a solid foundation for a hybrid typing system which can make Python better and safer. Its modular architecture makes it easily extensible.
*Strengths~:* strict static checking of a great subset of Python, thorough runtime checking of cast expressions and dependent types, extensive type inference of dataframe operations, modular and easily extensible
*Current Limitations~:* bypass of logical short-circuiting, unsupported reverse operators, oblivious to references and remote modifications
*Possible Extensions~:* multi-file projects with ```py import``` statements, Numpy arrays, constraint solving
The source code is published openly under the Apache 2.0 license.
#grid(
columns: (1fr,) * repos.len(),
align: center,
..repos.map(r => strong(text(size: 0.8em, r.at(0)))),
..repos.map(r => image(r.at(1), width: 3cm)),
..repos.map(r => text(size: 0.8em, r.at(2)))
)
]
#isc-card(title: "References")[
#bibliography("../report/bibliography.bib", title: none)
]
presentation/figs/HES-SO_logo_CMJN.svg
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presentation/figs/hei_logo.svg
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presentation/figs/midas_df_types.txt
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Info in /tmp/test3.py from L1:15 to L1:17:
mean_height = df["height"].mean()
~~> Type: Frame[name: Column[str], height: Column[Meter], age: Column[Age]]
Info in /tmp/test3.py from L1:15 to L1:27:
mean_height = df["height"].mean()
~~~~~~~~~~~~> Type: Column[Meter]
Info in /tmp/test3.py from L1:15 to L1:34:
mean_height = df["height"].mean()
~~~~~~~~~~~~~~~~~~~> Type: Meter
Infos: 3
presentation/figs/midas_output.txt
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Error in /tmp/script.py from L2:12 to L2:15:
fib.append(3.0)
~~~> Wrong type for argument 'object', expected int, got float
Errors: 1
presentation/figs/midas_output2.txt
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Info in /tmp/script.py from L1:8 to L1:9:
fib = [1,1,2]
~> Type: int
Info in /tmp/script.py from L1:10 to L1:11:
fib = [1,1,2]
~> Type: int
Info in /tmp/script.py from L1:12 to L1:13:
fib = [1,1,2]
~> Type: int
Info in /tmp/script.py from L1:7 to L1:14:
fib = [1,1,2]
~~~~~~~> Type: list[int]
Info in /tmp/script.py from L2:12 to L2:15:
fib.append(3.0)
~~~> Type: float
Info in /tmp/script.py from L2:1 to L2:4:
fib.append(3.0)
~~~> Type: list[int]
Info in /tmp/script.py from L2:1 to L2:16:
fib.append(3.0)
~~~~~~~~~~~~~~~> Type: <Unknown>
Error in /tmp/script.py from L2:12 to L2:15:
fib.append(3.0)
~~~> Wrong type for argument 'object', expected int, got float
Errors: 1 Infos: 7
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presentation/figs/python_output.txt
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Traceback (most recent call last):
File "script.py", line 31, in <module>
assert isinstance(value, float), f"script.py:L2:6: CastError: Cannot cast {type(value).__name__} to float, in column 'age'"
~~~~~~~~~~^^^^^^^^^^^^^^
AssertionError: script.py:L2:6: CastError: Cannot cast int to float, in column 'age'
presentation/figs/python_output2.txt
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Traceback (most recent call last):
File "script.py", line 32, in <module>
assert __midas_p0__(value), "script.py:L2:6: ConstraintError: Value does not fit constraint 'in_range(0.0, 150.0)(_)', in column 'age'"
~~~~~~~~~~~~^^^^^^^
AssertionError: script.py:L2:6: ConstraintError: Value does not fit constraint 'in_range(0.0, 150.0)(_)', in column 'age'
presentation/figs/script.py
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fib = [1, 1, 2]
fib.append(3.0)
presentation/presentation.typ
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#import "requirements.typ": *
#import "../meta.typ"
#import codly: codly-init, codly
#import "@preview/codly-languages:0.1.10": codly-languages
#import "@preview/tiaoma:0.3.0"
#pdfpc.config(
start-time: datetime(hour: 13, minute: 15, second: 0),
duration-minutes: 20,
last-minutes: 3
)
#show raw.where(block: true): set text(size: 0.8em)
#show: codly-init.with()
#codly(
languages: codly-languages
+ (
midas: (
name: "Midas",
color: rgb("#eedd47"),
icon: box(
image(
"../assets/icon.svg",
height: 130%,
fit: "contain",
),
),
),
),
)
#set raw(
syntaxes: path("../midas.sublime-syntax")
)
#show: unistra-theme.with(
config-info(
author: meta.authors,
institution: meta.school,
date: datetime(year: 2026, month: 8, day: 24).display("[day].[month].[year]"),
title: [Midas],
subtitle: [Hybrid Type Checking for Python],
//title: meta.title,
//subtitle: meta.subtitle,
//short-title: [Midas],
//short-subtitle: [Hybrid Type Checking for Python],
//logo: image("figs/isc_logo.svg"),
logo: {
image("figs/isc_logo.svg")
place(
left + horizon,
dx: 100% + 1em,
clearance: 0pt,
//scale(80%, tiaoma.qrcode("https://url.kb28.ch/nws0"))
scale(80%, tiaoma.qrcode("https://git.kb28.ch/HEL/TB-Docs/releases/download/official/presentation_handout.pdf"))
)
},
),
config-common(
enable-pdfpc: true,
handout: sys.inputs.at("handout", default: "false") == "true",
slide-fn: slide,
),
config-store(
footer-appendix-label: "A",
show-header: {
place(
top + left,
utils.touying-progress(
ratio => box(
width: ratio * 100%,
height: 6pt,
fill: orange.C
)
)
)
}
),
)
#title-slide(
logos: (
box(inset: (x: 0.8em), image("figs/hei_logo.svg", height: 2cm)),
box(inset: (x: 0.8em), image("figs/isc_logo.svg", height: 2cm)),
)
)
#include "sections/01_introduction.typ"
#include "sections/02_state_of_the_art.typ"
#include "sections/03_midas.typ"
#include "sections/04_status_and_future.typ"
#include "sections/05_conclusion.typ"
#include "sections/06_appendix.typ"
presentation/requirements.typ
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#import "@preview/touying:0.7.4": *
#import "@preview/touying-unistra-pristine:1.4.3": *
#import "@local/codly:1.3.1"
// Adapted from:
// https://github.com/spidersouris/touying-unistra-pristine/blob/67084e00529991bfbd12152c0f074c582cba0093/src/unistra.typ#L22-L126
#let slide(
config: (:),
repeat: auto,
setting: body => body,
composer: auto,
..bodies,
) = touying-slide-wrapper(self => {
let footer(self) = {
let cell(body) = rect(
width: 100%,
height: 100%,
inset: 0mm,
outset: 0mm,
fill: none,
stroke: none,
text(size: 0.5em, fill: self.colors.black, body),
)
let author = self.info.author
let date = self.info.date
if self.store.footer-hide.contains("author") {
author = none
}
if self.store.footer-hide.contains("date") {
date = none
}
set align(center + horizon)
block(width: 101%, height: -25%, stroke: (top: 0.5pt + self.colors.black), {
set text(size: 1.5em)
// give priority to short, since long is also used in title slide
let title = self.info.title
if (self.info.short-title != auto) {
title = self.info.short-title
}
let first-col-width = 15%
let second-col-width = 75%
grid(
columns: (first-col-width, second-col-width, 10%),
rows: 0.5em,
stroke: (x: 1pt + self.colors.black),
cell(box(self.info.logo, height: 100%)),
cell(box(
width: 100%,
text(
title, // either title or short-title
weight: "bold",
)
+ self.store.footer-first-sep
+ if _is(author) { author }
+ if _is(date) and _is(author) {
self.store.footer-second-sep
} else { "" }
+ if _is(date) { date },
)),
cell(utils.call-or-display(self, context {
let current = int(utils.slide-counter.display())
let last = int(utils.last-slide-counter.display())
if current > last {
(
text(self.store.footer-appendix-label, style: "italic")
+ str(current)
)
} else {
str(current)
}
}
+ " / "
+ utils.last-slide-number)),
)
})
}
let store-header = self.store.show-header
let store-footer = self.store.show-footer
let self = utils.merge-dicts(self, config-page(
header: if store-header == true {
unistra-nav-bar(self)
} else if store-header == false {
none
} else {
store-header
},
footer: if store-footer == true {
footer
} else if store-footer == false {
none
} else {
store-footer
},
// todo: change if no footer/header, etc.
margin: (x: 3em, y: 2em),
))
touying-slide(
self: self,
config: config,
repeat: repeat,
setting: setting,
composer: composer,
..bodies,
)
})
presentation/sections/01_introduction.typ
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#import "../requirements.typ": *
#focus-slide(theme: "berry")[The Issue]
= The issue
== A popular language
#align(center, image("../figs/python-logo.svg"))
Python is a widely used language, especially in data science:
#item-by-item[
- Easy to learn
- Simple syntax
- Vast and thriving ecosystem
]
== It can bite
Everything is fine...
```python
transactions = load_transactions()
mean_amount = np.mean(transactions)
```
#speaker-note[
Il y a comme un couac -> duck-typing
]
#pause
Until it's not
```python
def load_transactions():
return [
usd_transaction,
chf_transaction
]
```
---
#{
set text(size: 0.4em)
table(
columns: (1fr, 2fr, 0.5fr, 3.5fr),
table.header[*Height*][*Country*][*Age*][*Profession*],
// range(5 * 10).map(_ => line())
..range(4 * 28).map(
i => line(
start: (0%, 0%),
end: (100%, 0%),
stroke: (
dash: (
array: (6pt, 3pt, "dot", 3pt),
phase: calc.rem(i * 13, 31) * 1pt
),
paint: gray
)
)
)
)
pause
place(
center + horizon,
dx: -2.5em,
box(
stroke: 1pt,
radius: 4pt,
width: 8em,
height: 6em,
clip: true,
fill: white,
move(
dx: -5em,
dy: -1em,
table(
columns: (6em, 6em, 6em),
rows: 1.5em,
[], [61], [],
[], [18], [],
[], [1963#place(center + horizon, ellipse(width: 2.5em, height: 2em, stroke: std.red))], [],
[], [35], [],
[], [42], [],
)
)
)
)
}
presentation/sections/02_state_of_the_art.typ
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#import "../requirements.typ": *
#focus-slide(theme: "mandarine")[What's Out There?]
= What's out there?
== Existing Type Checkers
#v(1fr)
#grid(
columns: (1fr, 1fr),
column-gutter: 3em,
align: center + horizon,
image("../figs/mypy_logo.svg"),
image("../figs/pyright-logo.png"),
)
#v(1fr)
== Community Packages for Pandas
=== Strictly Typing Pandas
#{
set text(size: 0.8em)
emph(link("https://strictly-typed-pandas.readthedocs.io"))
}
- Static typing of schema
- Quite limited
=== Pandera
#{
set text(size: 0.8em)
emph(link("https://pandera.readthedocs.io"))
}
- Dynamic verification and data validation
- Powerful but verbose
presentation/sections/03_midas.typ
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#import "../requirements.typ": *
#import "@preview/curryst:0.6.0": prooftree, rule
#import "@preview/pinit:0.2.2": pin, pinit-point-from
#import codly: codly, codly-enable, codly-disable, local
#import "@preview/cetz:0.5.2" as cetz: canvas, draw, tree
#import "@preview/cetz-plot:0.1.4": smartart
#import "@preview/conch:0.1.0"
#focus-slide(theme: "forest")[Making Python Better]
= Making Python Better
== Strict Typing Rules
#let syntax(body) = {
set text(weight: "bold", fill: rgb(100, 50, 0))
body
}
#slide(repeat: 5, self => {
let (uncover, only, alternatives-match) = utils.methods(self)
let typing-rule = prooftree(
rule(
name: smallcaps[(T-Tern)],
uncover("3-", $Gamma tack "t"_1: "bool"$),
uncover("4-", $Gamma tack "t"_21: "T"$),
uncover("4-", $Gamma tack "t"_22: "T"$),
alternatives-match((
"1": [],
"2-4": $"t"_21 #syntax[if] "t"_1 #syntax[else] "t"_22$,
"5-": $Gamma tack "t"_21 #syntax[if] "t"_1 #syntax[else] "t"_22: "T"$,
))
)
)
show raw: it => {
show regex("pin\d+"): it => pin(int(it.text.slice(3)))
it
}
figure(
```python
value = pin1e1pin2 if pin3conditionpin4 else pin5e2pin6
```
)
pause
/*
pinit-point-from(
(1, 2),
offset-dx: -20pt,
body-dx: -0.8em,
body-dy: -0.2em,
$"t"_21$
)
pinit-point-from(
(5, 6),
offset-dx: 20pt,
body-dx: 0.2em,
body-dy: -0.2em,
$"t"_22$
)
pinit-point-from(
(3, 4),
offset-dx: 0pt,
pin-dx: 0pt,
body-dx: -0.2em,
body-dy: 0.2em,
$"t"_1$
)
*/
v(2cm)
figure(typing-rule)
})
#codly(
highlights: (
(
line: 2,
start: 9,
tag: [#set text(size: 1.25em);```python int```],
fill: std.yellow
),
)
)
#figure(
```python
value: float
value = 2026
```
)
#pause
Liskov Substitution Principle $->$ Subsumption Rule
#figure(
prooftree(
rule(
name: smallcaps[(T-Sub)],
$Gamma tack "t": "S"$,
$"S" <: "T"$,
$Gamma tack "t": "T"$,
),
)
)
== Enforcing Rules
/*
#set enum(
full: true,
numbering: (..n) => strong(
numbering(
if n.pos().len() == 1 {
"1."
} else {
"a."
},
n.pos().last()
)
)
)
Steps:
+ Parsing
+ Type-checking
+ + Reporting
+ Code generation
*/
#let palette1 = (
std.purple,
std.blue,
std.orange,
std.green,
)
#let palette2 = (
std.red,
std.orange,
std.green,
std.blue,
)
#let steps = (
[Parsing],
[Type-checking],
[Reporting],
[Code generation],
)
#let palette = palette2.map(c => c.lighten(50%))
#{
slide(repeat: 4, self => context {
let max-step-height = calc.max(..steps.map(s => measure(box(width: 5em, s)).height))
align(left + horizon, canvas({
smartart.process.chevron(
steps.map(s => box(height: max-step-height, align(center + horizon, s))).slice(0, calc.min(steps.len(), self.subslide)),
step-style: palette,
steps: (
max-width: 5em,
),
)
}))
})
}
#let header-process(n) = place(
top + right,
{
set text(size: 0.5em)
canvas({
smartart.process.chevron(
steps,
step-style: palette.enumerate().map(((i, c)) => {
if i == n {c}
else {c.lighten(70%)}
}),
steps: (max-width: 5em),
equal-length: true
)
})
}
)
#header-process(0)
#{
show raw: set text(size: 0.7em)
grid(
columns: (11em, auto),
column-gutter: 1em,
row-gutter: 0.2em,
align: (x, y) => if y == 0 {center} else if x == 0 and y == 2 {top + right} else {left},
grid.header[*Source*][*Raw AST*],
```python
value = 3.0 + int("4")
```,
grid.cell(rowspan: 2, uncover("2-", ```python
Module(
body=[
Assign(
targets=[
Name(id='value')],
value=BinOp(
left=Constant(value=3.0),
op=Add(),
right=Call(
func=Name(id='int'),
args=[
Constant(value='4')],
keywords=[])))])
```)),
uncover("2-", canvas({
draw.bezier-through(
(0, 0),
(1.5, -2.5),
(5, -4),
mark: (end: ">", fill: black),
name: "arrow"
)
draw.content(
(1.5, -2.5),
```python ast.parse(source)```,
anchor: "north-east",
padding: 3pt,
)
}))
)
}
---
#header-process(0)
#{
show raw: set text(size: 0.7em)
grid(
columns: (auto, auto),
column-gutter: 1em,
row-gutter: 0.2em,
align: (x, y) => if y == 0 {center} else if x == 0 and y == 2 {top + right} else {left},
grid.header[*Raw AST*][*Custom AST*],
```python
Module(
body=[
Assign(
targets=[
Name(id='value')],
value=BinOp(
left=Constant(value=3.0),
op=Add(),
right=Call(
func=Name(id='int'),
args=[
Constant(value='4')],
keywords=[])))])
```,
local(
inset: (x: 0.32em, y: 0.15em),
lang-outset: (x: 0.32em, y: 0.2em),
```AST
AssignStmt
├── targets
│ └── [0] VariableExpr
│ └── name: value
└── value
└── BinaryExpr
├── left
│ └── LiteralExpr
│ └── value: 3.0
├── operator: Add
└── right
└── CallExpr
├── callee
│ └── VariableExpr
│ └── name: int
├── arguments
│ └── [0] LiteralExpr
│ └── value: '4'
└── keywords
```
)
)
}
---
#header-process(1)
#let cetz-canvas = touying-reduce.with(cetz)
#let typing-tree = cetz-canvas({
draw.set-style(content: (padding: 0.5em))
tree.tree(
name: "tree",
([`type_of`(```py 3.0 + int("4")```)],
[`type_of`(```py 3.0```)],
([`type_of`(```py int("4")```)],
[`type_of`(```py int```)],
[`type_of`(```py "4"```)],
)
)
)
let type(pos, typ) = {
draw.content(
"tree.g" + pos.map(str).join("-") + ".south",
box(
inset: (x: 0.4em, y: 0.2em),
stroke: std.orange,
fill: std.orange.lighten(90%),
radius: 0.4em,
{
set text(size: 0.8em)
raw(lang: "python", typ)
}
),
padding: 0pt,
anchor: "north"
)
}
(pause,)
type((0, 0), "float")
type((0, 1, 1), "str")
(pause,)
type((0, 1, 0), "(Any, /) -> int")
(pause,)
type((0, 1), "int")
(pause,)
draw.content(
(
rel: (3, 0),
to: (
"tree.g0.south",
50%,
"tree.g0-1.north",
)
),
{
set text(size: 0.8em)
```py float.__add__(int) -> float```
},
anchor: "west"
)
(pause,)
type((0,), "float")
})
#align(center + horizon, typing-tree)
---
#let midas-outputs = (
check: read("../figs/midas_output.txt"),
types: read("../figs/midas_output2.txt"),
)
#let midas-cmd(args, stdin, files) = {
(
stdout: midas-outputs.at(args.first()),
exit-code: 0
)
}
#let frames = conch.terminal-frames(
system: conch.system(
plugins: (
("midas", midas-cmd),
),
files: (
"script.py": read("../figs/script.py")
),
hostname: "XANA",
),
user: "louis",
commands: (
"cat script.py",
"midas check script.py",
"midas types script.py",
"",
),
mode: "key-frames",
show-cursor: false,
theme: "monokai",
height: 300pt
)
#slide(repeat: frames.len() - 2, self => [
#header-process(2)
#figure(
align(left + top, frames.at(self.subslide))
)
])
#header-process(3)
#align(
center + horizon,
grid(
columns: 3,
column-gutter: 2em,
row-gutter: 1em,
[AST], none, none,
text(size: 2em)[+],
uncover("2-", text(size: 2em)[$stretch(->)^#{set text(size: 0.6em);```py ast.unparse(tree)```}$]),
uncover("2-")[Code],
[Typing\ Judgements],
)
)
// What's the point? What about constraints?
== Runtime Verification
#{
show raw: set text(size: 0.7em)
grid(
columns: 2,
column-gutter: 1em,
row-gutter: 1em,
align: horizon,
rotate(-90deg, reflow: true)[*Source*],
```python
from lib import fetch_data
unknown = fetch_data()
speed = cast(Meter, unknown)
```,
uncover("2-", rotate(-90deg, reflow: true)[*Generated*]),
uncover("2-", ```python
from lib import fetch_data
unknown = fetch_data()
__midas_a0__ = unknown
assert isinstance(__midas_a0__, float), f'script.py:L3:9: CastError: Cannot cast {type(__midas_a0__).__name__} to float'
speed = __midas_a0__
del __midas_a0__
```)
)
}
== Customization
#{
show raw: set text(size: 0.8em)
item-by-item()[
- Domain Specific Types (e.g. units, scores, transformed data)
```midas
type Meter = float
extend Meter {
def __add__: fn(Meter, /) -> Meter
def __truediv__: fn(float, /) -> Meter
}
```
- Dependent Types (i.e. with value constraints)
```midas
predicate in_range(mn: float, mx: float)(v: float) = mn <= v & v <= mx
type Age = int where in_range(0.0, 150.0)(_)
```
]
}
== Advanced Typing
Defining a dataframe schema
```midas
alias Data = Frame[
name: str,
height: Meter,
age: Age
]
```
---
Using a dataframe schema
```python
import pandas as pd
df = cast(Data, pd.read_csv("data.csv"))
```
#pause
Generates runtime checks
#let python-outputs = (
data1: read("../figs/python_output.txt"),
data2: read("../figs/python_output2.txt"),
)
#let python-cmd(args, stdin, files, output: "") = {
(
stdout: output,
exit-code: 0,
)
}
#let make-cast-error(output) = conch.terminal-block(
system: conch.system(
plugins: (
("midas", (..args) => (stdout: "", exit-code: 0)),
("python", python-cmd.with(output: output)),
),
hostname: "XANA",
),
user: "louis",
show-cursor: false,
theme: "monokai",
height: 150pt,
width: 660pt,
```
midas compile script.py -t types.midas
python build/midas/script.py
```
)
#figure(
align(
left + top,
make-cast-error(python-outputs.data2),
)
)
---
```python
mean_height = df["height"].mean()
```
#pause
#figure(
align(
left + top,
conch.terminal-block(
system: conch.system(
plugins: (
(
"midas",
(..args) => (
stdout: read("../figs/midas_df_types.txt"),
exit-code: 0
)
),
),
hostname: "XANA",
),
user: "louis",
show-cursor: false,
theme: "monokai",
```
midas types script.py -t types.midas
```
)
)
)
---
$
overline(x) = 1 / n sum_(i=0)^n x_i
$
#pause
$
"type_of"(overline(x)) &= "type_of"( ("type_of"(x) + "type_of"(x)) / "type_of"(n) )\
pause
&= "type_of"( ("Meter" + "Meter") / "int") pause = "Meter"
$
presentation/sections/04_status_and_future.typ
+67
View File
@@ -0,0 +1,67 @@
#import "../requirements.typ": *
#import codly: codly
#focus-slide(theme: "neon")[Current Status and Future]
= Current Status and Future
== What Midas offers
#v(-0.5em)
#item-by-item[
- Working *static type checking* of a good subset of Python (including dataframes)
- *Custom type* definition language for domain-specific usages (supports generics, method overloads, dependent types, frame schemas, named predicates and more)
- Toolbox *CLI* with useful debug features
- Generation of *runtime assertions*
- Stubs for *seamless integration* with other type checkers
]
== What needs work
#{
show raw: set text(size: 0.85em)
item-by-item[
- Reference types (side effects)
```python
def modify_column(df: pd.DataFrame):
df["col"] = df["col"].astype(float)
```
- Reverse operators
```python
a = 1.0 + 1 # float.__add__(int)
b = 1 + 1.0 # float.__radd__(int)
```
- Logical short-circuit bypass
#codly(
highlights: (
(
line: 1,
start: 15,
tag: box(inset: (x: 0.5em))[_Always evaluated_ ],
fill: std.red.lighten(20%)
),
)
)
```python
value = v1 or cast(Type, v2)
```
]
}
== Possible extensions
#item-by-item[
- Visitor pattern $->$ easy to extend supported Python syntax
- Multi-file projects (```python import``` statements)
- Constraint solver
$
v in [1; 6] => v > 0
$
]
presentation/sections/05_conclusion.typ
+38
View File
@@ -0,0 +1,38 @@
#import "../requirements.typ": *
#focus-slide(theme: "smoke")[Thanks for listening !]
= Thanks for listening !
== Repositories
#let repos = (
([Code], path("../../poster/figs/qr_gitea.svg"), "https://git.kb28.ch/HEL/midas"),
([Code (mirror)], path("../../poster/figs/qr_github.svg"), "https://github.com/LordBaryhobal/midas"),
([Docs], path("../../poster/figs/qr_docs.svg"), "https://git.kb28.ch/HEL/TB-Docs"),
)
#let repo(name, code, url) = {
stack(
dir: ttb,
spacing: 0.2em,
strong(text(size: 0.8em, name)),
image(code, width: 3cm),
{
set text(size: 0.6em)
link(url)
}
)
}
#v(1fr)
#grid(
columns: (1fr, 1fr),
align: center + horizon,
row-gutter: 2em,
repo(..repos.at(0)),
repo(..repos.at(1)),
grid.cell(colspan: 2, repo(..repos.at(2)))
)
#v(1fr)
presentation/sections/06_appendix.typ
+3
View File
@@ -0,0 +1,3 @@
#import "../requirements.typ": *
#show: appendix
report/acronyms.typ
+1 -4
View File
@@ -1,7 +1,7 @@
#import "@preview/acrostiche:0.7.0": *
#let acronyms = (
"TaPL": ([Types and Progamming Languages@tapl],),
"TaPL": ([Types and Programming Languages@tapl],),
"LSP": (link("https://en.wikipedia.org/wiki/Liskov_substitution_principle")[Liskov substitution principle],),
"AST": ([Abstract Syntax Tree],),
"LUB": ([Least Upper Bound],),
@@ -11,6 +11,3 @@
)
#init-acronyms(acronyms)
// Don't think this needs a long form on first use
#mark-acr-used("CSV")
report/bachelor_thesis.typ
+9 -1
View File
@@ -9,7 +9,7 @@
#import "requirements.typ": isc-hei-bthesis
#import isc-hei-bthesis: *
#import "@preview/codly:1.3.0": codly-init, codly
#import "@local/codly:1.3.1": codly-init, codly // https://github.com/PhotonQuantum/codly/tree/fix/highlight-baseline
#import "@preview/codly-languages:0.1.10": codly-languages
#import "../meta.typ"
#import "utils.typ": include-offset
@@ -86,6 +86,10 @@
outlined: false,
)
// Mark all acronyms as used to have short forms in outlines
#context for a in state("acrostiche-acronyms").final() {
acused(a.first())
}
// Table of figures/tables/listings
#context {
@@ -112,6 +116,10 @@
)
}
#acresetall()
// Don't think this needs a long form on first use
#mark-acr-used("CSV")
////////////////////////////
// Let's get started folks!
////////////////////////////
report/chapters/01_introduction.typ
+5
View File
@@ -1,6 +1,7 @@
#import "../requirements.typ": isc-hei-bthesis
#import isc-hei-bthesis: todo
#import "../utils.typ": quote-block
#import "@preview/gentle-clues:1.3.1" as gc
= Introduction <chap:intro>
@@ -40,3 +41,7 @@ The system should not impede on Python's dynamic typing philosophy. It should en
It must be flexible to allow checking various kinds of constraints (e.g. value domain, geometric shape, distribution, etc.) and allow extension to add support for more Python features and packages.
Finally, the system must be simple to use for average Python developers, and be able to seamlessly integrate into existing Python code.
#gc.info[
This report was written using Typst. Its source files can be found at https://git.kb28.ch/HEL/TB-Docs.
]
report/chapters/03_theory/typing.typ
+1 -1
View File
@@ -103,7 +103,7 @@
),
rule(
"T-Assign",
$Gamma tack "x": "T"$,
$"x": "T" in Gamma$,
$Gamma tack "t": "T"$,
$Gamma tack "x" = "t" tack.l Gamma$,
```py x = t```,
report/chapters/04_implementation/01_overview.typ
+1 -1
View File
@@ -9,7 +9,7 @@ Our type checker is composed of several interdependent elements shown in @fig:ar
#figure(
architecture.overview,
caption: [Implementation Architecture Overview],
caption: [Implementation architecture overview],
kind: image,
supplement: [Figure],
) <fig:architecture>
summary/exec_summary.typ
+103 -6
View File
@@ -10,21 +10,118 @@
#import "@preview/isc-hei-exec-summary:0.8.1" : *
#import "../meta.typ"
#import "../report/figs/architecture.typ"
#import "@local/codly:1.3.1": codly, codly-init, local
#import "@preview/codly-languages:0.1.10": codly-languages
// Must be <= 365 characters long.
#let summary = "Midas is cool!" // TODO
#let summary = "Midas is a type system built on top of Python to provide both static type checking and runtime assertions. It includes its own type definition language, implements dependent types in the form of constraint expressions and offers extended checking of dataframe schemas and operations."
#assert(
summary.len() <= 365,
message: "Summary too long: len() > 365"
)
#let content = [
#todo[]
#show: codly-init
#codly(
languages: codly-languages
+ (
midas: (
name: "Midas",
color: rgb("#eedd47"),
icon: box(
image(
"../assets/icon.svg",
height: 130%,
fit: "contain",
),
),
),
),
)
#lorem-pars(500)
#colbreak()
#lorem-pars(500)
#set raw(
syntaxes: path("../midas.sublime-syntax")
)
#show raw.where(block: true): set text(size: 0.9em)
#let content = [
= Objectives
Python is a very popular language known for its great flexibility. For beginners and many developers, its duck-typing philosophy is a great way to code quickly and without heavy syntax. However, it is extremely easy to mix things up, use the wrong variable or not realize that a value has the wrong type.
Additionally, in data science, most of the values handled by a program are only known at runtime, because they are loaded from a dataset or fetched from an external service.
Enter Midas, a new type system designed to allow developers to define custom types for their use case, check their script to avoid type errors and generate safe runtime code that will ensure data integrity. For data engineers, Midas also allows defining value constraints and will verify operations on Pandas DataFrames.
#codly(
header: [types.midas]
)
#figure(
```midas
predicate not_empty(text: str) = len(text) != 0
type Height = float where _ >= 0
alias People = Frame[
name: str where not_empty(_),
height: Height
]
```,
caption: [Example custom type definitions]
)
= Explanation
Midas was developed in a modular fashion, adding features one-by-one, starting with the selection of a subset of the Python language to support and the design of a definition language. Then a parser was built to read in Midas files. After defining some formal typing rules, the first elements of the type checker were put in place to handle basic Python statements and expressions.
The type system was then extended to support subtyping, generics, methods and more. After implementing cast expressions, the code generator was developed and integrated in the compilation pipeline.
Once a strong foundation was laid out it was further strengthened with numerous other features, such as constraint types and type checking of dataframe operations. The latter allows powerful inference of some aggregation result types.
#codly(
header: [script.py],
highlights: (
(
line: 3,
start: 11,
tag: [#h(2pt)Column[Height]],
fill: blue.lighten(60%)
),
(
line: 4,
start: 17,
tag: [#h(2pt)Height],
fill: blue.lighten(60%)
),
)
)
#figure(
```python
import pandas as pd
people: People = cast(People, pd.read_csv(...))
heights = people["height"]
median_height = heights.median()
```,
caption: [Example type checking of dataframe operations]
)
= Conclusion
This project provides a solid hybrid type system for Python, that helps data engineers and developers avoid costly mistakes. It is packed with many useful features such as runtime checking of cast expressions and constraint types. Its modular architecture makes it easily expandable too.
Some ideas for future extensions include adding a constraint solver, handling reference types and supporting multi-file projects through import statements.
#place(
bottom + center,
scope: "parent",
float: true,
figure(
{
set par(justify: false)
architecture.overview
},
caption: [Implementation architecture overview]
)
)
]
#show: exec-summary.with(