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143 Commits

Author SHA1 Message Date
e855a09a6b Merge pull request 'Various features for example pipeline' (#31) from feat/complete-example into main
Reviewed-on: #31
2026-07-07 15:30:21 +00:00
094554cb72 tests: update with new aggregate return types 2026-07-07 17:14:30 +02:00
40bda81c32 docs: update docstring with new formula 2026-07-07 17:11:50 +02:00
25c11c3a53 fix(checker): compute aggregation of column groupby 2026-07-07 17:11:10 +02:00
f3dec414cc fix(cli): tweak highlight diagnostic tooltip 2026-07-07 16:01:55 +02:00
48be2d454c feat(checker): add formula to compute aggregation type 2026-07-07 15:46:15 +02:00
5958e3612b chore: add comments to weather example 2026-07-07 15:13:39 +02:00
83eecd612e chore: add weather pipeline example 2026-07-07 14:31:04 +02:00
5311307a6f tests: update with unsupported flag 2026-07-07 13:51:46 +02:00
fe34c77e4c tests: update with integer literals 2026-07-07 13:51:25 +02:00
c2f41eb392 fix: make Frame/Column inherit from pandas classes 2026-07-07 13:43:57 +02:00
ed07b01563 docs: add docstrings to generator submodule 2026-07-07 12:09:44 +02:00
c6b8c0a145 feat(checker): add sort_values on frames and columns 2026-07-07 11:28:06 +02:00
f48ebd49d1 feat(checker): add unsupported parameter flag 2026-07-07 11:24:23 +02:00
5051e155c0 fix(gen): only generate length assertion for non-scalar ops 2026-07-07 11:22:07 +02:00
1098e33d07 feat(checker): handle scalar ops on frames and columns 2026-07-07 10:27:20 +02:00
9277bd2cd0 fix(gen): generate assertion definitions 2026-07-07 10:03:48 +02:00
5e87ba2cd1 fix(checker): report predicate argument errors 2026-07-07 10:02:52 +02:00
4eb133ce17 fix(checker): handle setting unknown as column 2026-07-07 10:01:59 +02:00
56987f6cff fix(parser): parse int literals as integers
avoid casting to float when the literal is an integer
2026-07-07 00:10:33 +02:00
af6056a83f fix(checker): handle all unary ops in evaluator 2026-07-07 00:09:39 +02:00
aab4641584 fix(checker): properly check parameter defaults 2026-07-06 17:15:59 +02:00
164648e8df feat: handle not operator 2026-07-06 17:06:21 +02:00
a640b8b3dd feat(checker): add copy and info methods 2026-07-06 15:56:57 +02:00
8bc35f7754 fix: add __name__ to preamble 2026-07-06 15:28:10 +02:00
16c19cca75 fix(checker): handle application of column type 2026-07-06 15:27:50 +02:00
3de36e5bd5 feat: handle import statements
import statements now introduce variables with unknown types to avoid "Unknown variable" warnings
2026-07-06 15:21:56 +02:00
7075d011b8 Merge pull request 'Column subscripts' (#30) from feat/column-subscript into main
Reviewed-on: #30
2026-07-06 10:05:14 +00:00
d97a9c0209 feat(checker): handle subscript on column types 2026-07-06 11:58:37 +02:00
a418fe3eaf Merge pull request 'Add docstrings, rebrand parameters and refactor printers' (#29) from feat/add-docstrings into main
Reviewed-on: #29
2026-07-06 09:29:43 +00:00
aae3073744 docs: add docstrings to types 2026-07-06 11:14:23 +02:00
b11a9bb8c6 docs: add docstrings to frame classes 2026-07-06 11:03:31 +02:00
bac0e334d5 docs: add docstrings for type checkers 2026-07-06 00:32:48 +02:00
30aef99c08 docs: add docstrings for most files in checker module 2026-07-05 23:54:03 +02:00
9764484fd9 docs: add docstrings to midas parser 2026-07-04 01:30:14 +02:00
5b9e322c91 docs: add some docstrings in lexer classes 2026-07-03 22:41:21 +02:00
c18d9c18de tests: update with new parameter spec 2026-07-03 19:31:17 +02:00
9229f00375 refactor: rebrand function parameters and unify spec
rename function arguments to parameters where it was wrong, and add ParamSpec for Python AST, like for Midas
2026-07-03 19:24:30 +02:00
6b7a682dc5 docs: add some docstrings 2026-07-03 17:36:45 +02:00
35b97fd17b refactor(ast): restructure printers 2026-07-03 17:26:28 +02:00
03bc32400b Merge pull request 'Frame / columns in manual' (#28) from feat/frame-columns-in-manual into main
Reviewed-on: #28
2026-07-03 14:38:44 +00:00
4a93ee45d9 docs: add section about Frame type annotations 2026-07-03 16:32:35 +02:00
8197131d8d docs: add Column and Frame to manual 2026-07-03 13:31:56 +02:00
cf91187b7a fix(checker): remove bool as subtype of int 2026-07-03 12:56:47 +02:00
1b2bdf0b79 docs: add alias statements to manual 2026-07-03 12:56:20 +02:00
c6cc38bfeb Merge pull request 'Frame / column operations' (#27) from feat/simple-frame-ops into main
Reviewed-on: #27
2026-07-03 10:29:32 +00:00
4d3e3f44a1 fix(checker): correctly check length of frame/column 2026-07-03 12:28:39 +02:00
ec80b1e92e feat(checker): add head/tail methods 2026-07-03 12:13:30 +02:00
4ea15519f3 feate(checker): add some frame/column attributes 2026-07-03 12:07:36 +02:00
7a6e01cff8 fix(checker): delegate frame aggregate methods to columns 2026-07-03 11:42:35 +02:00
733c8736b8 feat(checker): add aggregation ops on column groupby 2026-07-03 11:25:06 +02:00
20173a0b07 feat(tests): add colors and run all tests in base module 2026-07-03 10:58:28 +02:00
a143972ef1 feat(checker): add aggregation ops on frame groupby 2026-07-03 02:20:51 +02:00
0c70048b62 feat(checker): add statistical ops on columns 2026-07-03 01:34:58 +02:00
1c0c917873 feat(checker): add statistical ops on frames 2026-07-03 01:27:16 +02:00
1f6189daa4 feat(checker): add comparison binary ops on columns 2026-07-03 01:05:24 +02:00
66b585c3d6 fix(checker): recursively check builtin subtypes 2026-07-03 01:04:45 +02:00
819ab3c2bf tests: add dataframe operations test 2026-07-03 00:58:29 +02:00
d8c0b17512 feat(checker): add comparison binary ops on frames 2026-07-03 00:57:27 +02:00
6e06f9078e fix(checker): improve unknown method message 2026-07-03 00:57:10 +02:00
ece2e3a6a3 feat(checker): add arithmetic binary ops on columns 2026-07-03 00:42:00 +02:00
74c07c9afb feat(checker): add arithmetic binary ops on frames 2026-07-03 00:38:56 +02:00
be2fd4c837 feat(checker): delegate element operation to inner type
delegate element-wise binary operation on columns to their inner types
2026-07-03 00:05:40 +02:00
1bc4c704c3 feat(checker): delegate element operation to columns
delegate element-wise binary operation on frames to columns
2026-07-02 23:41:08 +02:00
0288a05901 feat(checker): handle assignment to multiple columns 2026-07-02 23:29:10 +02:00
b14f46d405 feat(checker): handle calls on group-bys 2026-07-02 19:53:58 +02:00
8e8ed62266 feat(checker): add add/mean/groupby on columns 2026-07-02 19:30:43 +02:00
2fce2f4bfc feat(checker): add column method registry 2026-07-02 19:23:23 +02:00
640f2d1771 feat(checker): support unification of frames and columns 2026-07-02 19:22:28 +02:00
b48dfe5301 refactor: make MethodRegistry generic on Call 2026-07-02 18:27:26 +02:00
0d5840a4ce refactor: restructure frame method registry in submodule 2026-07-02 18:20:10 +02:00
3c92f0867d feat(types): add ColumnGroupBy 2026-07-02 18:00:25 +02:00
b5acae4078 feat(types): add FrameGroupBy type 2026-07-02 17:45:18 +02:00
5d20f8ec3e docs: mention eager evaluation in manual 2026-07-02 17:22:28 +02:00
955c2233ed feat(checker): statically evaluate casts to Any and None 2026-07-02 17:14:30 +02:00
ff69b65171 feat(checker): add same length assertion on frames
safely adding two dataframes is only possible if the sizes are the same, or null values could be added dynamically to pad the shortest dataframe
2026-07-02 17:14:05 +02:00
8df01afd8c feat(gen): materialize assertions from collector 2026-07-02 17:10:27 +02:00
47b2dfdd73 feat(gen): add assertion collector to TypedAST 2026-07-02 17:09:50 +02:00
bd4d793ce0 feat(gen): add Assertion class 2026-07-02 17:08:43 +02:00
f7a36f61b6 fix(checker): pass AST expression to method registry 2026-07-01 22:34:02 +02:00
ad2fabf471 feat(checker): add assertion collector 2026-07-01 22:32:13 +02:00
a59a58d21a feat(gen): generate alias stubs 2026-07-01 14:43:30 +02:00
3260ae4a1e Merge pull request 'Call dispatcher' (#26) from feat/call-dispatcher into main
Reviewed-on: #26
2026-07-01 12:22:11 +00:00
bd1c9581c7 fix(checker): use dispatcher in frame method registry 2026-07-01 14:17:10 +02:00
663642ea6c fix(tests): serialize alias statements 2026-07-01 14:13:27 +02:00
e2abc04fe4 feat(checker): define min/max in preamble 2026-07-01 14:10:19 +02:00
a4016b55ce feat(checker): handle calls to AppliedType 2026-07-01 14:10:19 +02:00
1ea5da7024 feat(parser): parse binary operations in Midas 2026-07-01 14:10:18 +02:00
a017a8cf1f feat(checker): catch errors when evaluating constraint 2026-07-01 14:10:17 +02:00
8fc5ab623e feat(checker): evaluate literal cast to list/dict 2026-07-01 14:10:16 +02:00
14007db846 feat(checker): evaluate unary op on literals 2026-07-01 14:10:15 +02:00
6ad2ce4b68 feat(checker): improve function unwrapping 2026-07-01 14:10:15 +02:00
9a276c34c7 refactor: reuse CallDispatcher 2026-07-01 11:32:41 +02:00
6e717a3f9e refactor: use CallDispatcher in Midas typer 2026-07-01 11:24:09 +02:00
77aadfa264 refactor: extract function call methods to CallDispatcher 2026-07-01 11:14:08 +02:00
c81287df7f Merge pull request 'Initial dataframe implementation' (#25) from feat/dataframes into main
Reviewed-on: #25
2026-07-01 08:24:36 +00:00
ffccc1bedd feat(cli): generate stubs in build dir when compiling 2026-07-01 10:16:13 +02:00
d14f208897 feat(gen): add tuple expr to generator 2026-07-01 10:16:13 +02:00
293953a078 tests: update with multi-parameter generics 2026-07-01 10:16:12 +02:00
bccc96e4d0 fix: minor fixes 2026-07-01 10:16:11 +02:00
9db56adf56 feat: add Python tuple expression 2026-07-01 10:16:10 +02:00
3f99563ac8 feat: handle multi-parameter generic in Python 2026-07-01 10:16:10 +02:00
b36896cc7b feat(checker): add len() 2026-07-01 10:16:09 +02:00
cb75878ae9 fix(checker): allow some assignments to unknown 2026-07-01 10:16:08 +02:00
a5fe985eb2 feat(checker): add methods on str 2026-07-01 10:16:08 +02:00
e324f414e6 feat(checker): type check tuple instantiation in Midas 2026-07-01 10:16:07 +02:00
256536562f fix(parser): parse empty calls 2026-07-01 10:16:06 +02:00
64f4314f0d fix(gen): prevent empty loop for column asserts 2026-07-01 10:16:06 +02:00
6f6245d283 fix(checker): allow iterating on unknown 2026-07-01 10:16:05 +02:00
3392bc347d fix(checker): allow subtypes and unknown as if test 2026-07-01 10:16:04 +02:00
7e0319906a feat(gen): assertions for column values 2026-07-01 10:16:03 +02:00
75bd203d4a fix(checker): allow calling unknown method on dataframes 2026-07-01 10:15:16 +02:00
db40198357 feat(gen): generate asserts for dataframes and columns 2026-07-01 10:15:16 +02:00
d79e1dee18 fix(checker): change heterogeneous errors to warnings 2026-07-01 10:15:15 +02:00
4ea400265c feat(checker): add mean method on frames 2026-07-01 10:15:14 +02:00
24bffdabd4 fix(checker): type check None literal 2026-07-01 10:15:13 +02:00
d7bb6326de feat(checker): lookup dunders on dataframes 2026-07-01 10:15:12 +02:00
dbf6f9e2db tests: update with reordered argument typing 2026-07-01 10:15:12 +02:00
3cdc9031d3 refactor: use metaclass to collect frame methods 2026-07-01 10:15:11 +02:00
00e2ca8fe3 refactor: add MethodResolver class 2026-07-01 10:15:10 +02:00
4efb01285c feat: add dummy classes for typing frames and columns 2026-07-01 10:15:10 +02:00
f84a19159f fix(checker): improve heterogeneous error message 2026-07-01 10:15:09 +02:00
946b2e0d2e feat(checker): lookup dataframe methods 2026-07-01 10:15:08 +02:00
08dd7408ec feat(checker): defined add method of dataframes 2026-07-01 10:15:07 +02:00
b33fadf768 feat(checker): add structural subtyping rule for dataframes 2026-07-01 10:15:06 +02:00
7219109e5d feat(cli): print context for multiline diagnostics 2026-07-01 10:14:48 +02:00
cdf1725c26 feat(checker): process frame type definitions 2026-07-01 10:14:48 +02:00
7074b074bc feat(cli): add frame type to highlighter 2026-07-01 10:14:17 +02:00
ede7272c09 feat(parser): add frame type to midas syntax 2026-07-01 10:14:16 +02:00
87d5e286d2 feat(gen): add support for tuples and dataframes 2026-07-01 10:14:16 +02:00
c91b206791 feat(checker): handle setting dataframe column 2026-07-01 10:13:30 +02:00
a31d295eb1 feat(checker): type check subscript on dataframes 2026-07-01 10:13:30 +02:00
0d20993f02 feat(types): add TupleType 2026-07-01 10:13:28 +02:00
5357ca8e58 fix(types): add str methods to dataframe types 2026-07-01 10:13:28 +02:00
556765fd35 feat(types): add DataFrameType and ColumnType 2026-07-01 10:13:27 +02:00
d039a8e4b3 Merge pull request 'Type aliases vs. Derived types' (#24) from feat/subtypes-and-aliases into main
Reviewed-on: #24
2026-07-01 08:09:13 +00:00
c4533421eb feat(checker): process alias definitions 2026-07-01 09:59:58 +02:00
73769b42c1 feat(parser): add alias keyword and statement 2026-07-01 09:30:09 +02:00
087f6b4669 refactor(types): rename AliasType to DerivedType 2026-06-30 16:28:16 +02:00
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
77 changed files with 14256 additions and 3352 deletions

View File

@@ -46,9 +46,9 @@ What this means is that in Python, type checks are deferred to runtime when oper
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 typable statically, thus avoiding any runtime type errors.
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 analysing the code statically.
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.
@@ -198,10 +198,26 @@ python3 build/midas/script.py
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:
- *`alias`* statements (see @alias-stmt): to define a new type alias
- *`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
== Alias Statement <alias-stmt>
An *`alias`* statement lets you define a new type alias. It requires a unique name and base type.
While a `type` statement (see @type-stmt) allows generic definitions, aliases are purely a for givin an alternative name to a type.
#figure(
```midas
alias MyType = float
```,
caption: [Simple `alias` statement declaring a new type "`MyType`" equivalent to `float`],
) <midas-simple-alias>
This statement defines a new type called `MyType` which is equivalent to `float`. `MyType` and `float` can be used interchangeably.
== Type Statement <type-stmt>
A *`type`* statement lets you define a new type. It requires a unique name and base type.
@@ -212,7 +228,7 @@ The simplest form of a *`type`* statement is:
type MyType = float
```,
caption: [Simple `type` statement declaring a new type "`MyType`" as a subtype of `float`],
) <midas-simple-alias>
) <midas-simple-type>
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`.
@@ -291,8 +307,7 @@ To better refine a generic type, you can also bound type parameters using the fo
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`".
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(
@@ -318,6 +333,46 @@ The _body_ of a generic type, i.e. the right-hand side of the definition, can co
caption: [Type parameters in a generic type's body],
)
=== `Column` / `Frame` types
To provide useful type-checking for data engineers, Midas offers two special types: `Column` and `Frame`.
Their goal is to help type check Pandas' `Series` and `DataFrame` respectively.
==== `Column`
The `Column` type is a generic type used to represent a `pandas.Series` object.
You can use it like any other generic type and it will provide type checking for some common methods and attributes offered by Pandas.
#figure(
```midas
type Temperature = float
alias Temperatures = Column[Temperature]
```,
caption: [Simple column type definition],
)
==== `Frame` <frame-type>
The `Frame` type is a super-powered generic type used to represent a `pandas.DataFrame` object.
In place of type arguments, `Frame` accepts a schema, i.e. a series of column definitions.
@simple-frame show how you can define a simple frame type with 3 columns:
- `name`: a column of `Name` values
- `age`: a column of `int` values
- `height`: a column of `float where _ >= 0` values
Notice that you don't need to specify `Column` types.
#figure(
```midas
type Name = str where len(_) != 0
alias Data = Frame[
name: Name,
age: int,
height: float where _ >= 0
]
```,
) <simple-frame>
#pagebreak()
== Extend Statement <extend-stmt>
@@ -503,6 +558,7 @@ A simple annotation declaration, without assigning a value, is enough to declare
)
Because unpacking is not supported, assigning to multiple values is also not handled by the type checker.
For more information about type annotations, see @type-annotations
== Arithmetic
@@ -578,7 +634,7 @@ Conditional statements are checked relatively strictly by Midas. The test expres
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.
`for`-`else` statements are not supported. `while` loops are also not supported.
== Functions
@@ -678,10 +734,43 @@ In the following example, a runtime check would be generated to ensure that the
caption: [Typing of `cast` expression],
)
#gc.warning[
Assertions are statements inserted just before a statement using a `cast` expression. This means that the expression is evaluated _before_ its actual intended usage location, which might cause issues if you rely on logical operator short-circuiting. See @eager-eval for more information.
]
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.
== Annotations / Type Hints <type-annotations>
Vanilla Python already lets you use type hints to specify the type of variables and function parameters.
Midas use them to type check your code. Additionally, it allows you to use a special syntax to define a `Frame` types directly in these annotations.
Because these annotations are not interpretable by Python, your integrated type checker might complain loudly about them being invalid.
A workaround is to silence it by adding a type comment at the end of the line, as shown in @silence-errors.
#figure(
```python
var: Frame[name: str, age: float] # type: ignore # noqa: F821
```,
caption: [MyPy's and Pylance's complaints about custom type annotation can be silenced with type comments],
) <silence-errors>
=== Frame type annotation
The syntax is similar to how you can define frame types in the Midas language (see @frame-type). The only difference is that types can only be name references; you cannot inline constraint types.
The example of @python-frame-type shows how you can annotate a dataframe with some columns directly in Python.
#figure(
```python
df: Frame[name: Name, age: float, height: Length[Meter]] = ...
```,
caption: [Frame type annotation in Python],
) <python-frame-type>
= Commands <commands>
#TODO
@@ -695,3 +784,26 @@ If the value passed to `cast` or `unsafe_cast` is a literal (e.g. an integer, a
== Generating Stubs (`stubs`) <cmd-stubs>
== Showing Type Judgements (`types`) <cmd-types>
== Validating Definitions (`validate`) <cmd-validate>
= Known limitations <limitations>
== Eager evaluation in runtime assertions <eager-eval>
The process of generating assertions to ensure safety at runtime, mainly for `cast` expressions, leads to the creation of aliases for the expressions being casted. These alias definitions eagerly evaluate before the assertion, and most importantly before the real usage location. This means that you should avoid using `cast` expressions inside logical expressions like `and` or `or`, because the normal "short-circuit" behavior will be irrelevant to the evaluations of the operands.
For example:
#figure(
```py
def foo():
print("Foo")
return True
def bar():
print("Bar")
return True
result = foo() or bar()
# Foo
# Bar
```,
caption: [Runtime assertions may eagerly evaluate expressions and bypass logical operator's short-circuit],
)

View File

@@ -9,8 +9,10 @@ variables:
identifier: "[a-zA-Z_][a-zA-Z0-9_]*"
contexts:
main:
prototype:
- include: comments
main:
- include: keywords
- include: types
@@ -28,7 +30,16 @@ contexts:
- match: \*/
pop: true
string:
- meta_include_prototype: false
- meta_scope: string.quoted.double.c
- match: '"'
pop: true
keywords:
- match: \balias\b
scope: keyword.declaration.midas
push: alias-stmt
- match: \btype\b
scope: keyword.declaration.midas
push: type-stmt
@@ -39,8 +50,16 @@ contexts:
scope: keyword.declaration.midas
push: predicate-stmt
alias-stmt:
- match: "{{identifier}}"
scope: entity.name.type
- match: "="
scope: keyword.operator.equal.midas
push: type-expr
- match: $
pop: true
type-stmt:
- include: comments
- match: "{{identifier}}"
scope: entity.name.type
- match: \[
@@ -52,7 +71,6 @@ contexts:
pop: true
type-expr:
- include: comments
- match: \b(fn)\s*(\()
captures:
1: keyword.other.midas
@@ -61,6 +79,13 @@ contexts:
- match: \b(where)\b
scope: keyword.other.midas
set: constraint
- match: "Frame"
scope: entity.name.type
push:
- match: \[
push: frame-schema
- match: $
pop: true
- match: "{{identifier}}"
scope: entity.name.type
- match: $
@@ -88,7 +113,6 @@ contexts:
set: type-expr
constraint:
- include: comments
- match: $
pop: 2
@@ -98,6 +122,9 @@ contexts:
- match: \b(true|false|none)\b
scope: constant.language.midas
- match: '"'
push: string
- match: (<=|>=|<|>|==|!=|&)
scope: keyword.operator
@@ -111,7 +138,6 @@ contexts:
scope: variable.other.readwrite.midas
type-params:
- include: comments
- match: "<:"
scope: keyword.operator.subtype.midas
- match: "[a-zA-Z][a-zA-Z_0-9]*"
@@ -120,21 +146,19 @@ contexts:
pop: true
extend-stmt:
- include: comments
- match: "{{identifier}}"
scope: entity.name.type
- match: \[
push: type-params
- match: \{
scope: punctuation.section.block.begin
push: extend-body
set: extend-body
extend-body:
- include: comments
- include: member-stmt
- match: \}
scope: punctuation.section.block.end
pop: 2
pop: true
member-stmt:
- match: \b(prop|def)\b
@@ -148,7 +172,6 @@ contexts:
pop: true
predicate-stmt:
- include: comments
- match: "{{identifier}}"
scope: entity.name.function.midas
- match: '\('
@@ -174,3 +197,15 @@ contexts:
- match: '\)'
pop: true
frame-schema:
- include: frame-column
- match: \]
# scope: punctuation.section.block.end
pop: true
frame-column:
- match: "{{identifier}}"
scope: variable.other.member
- match: ":"
push: type-expr

View File

@@ -0,0 +1,65 @@
predicate in_range(min: float, max: float)(v: float) = min <= v & v <= max
predicate is_percentage = in_range(0.0, 100.0)
type Celsius = float
type Kelvin = float where _ >= 0
type Hectopascal = float
type Temperature = Celsius where in_range(-30.0, 100.0)
type Pressure = Hectopascal where in_range(800.0, 1100.0)(_)
type Humidity = float where is_percentage(_)
type HeatIndex = float
type StationID = str where len(_) == 3 & _.isupper()
type Mean[T <: float] = float
extend Celsius {
def __add__: fn(Celsius, /) -> Celsius
def __sub__: fn(Celsius, /) -> Celsius
}
extend Kelvin {
def __add__: fn(Kelvin, /) -> Kelvin
}
extend Hectopascal {
def __add__: fn(Hectopascal, /) -> Hectopascal
def __sub__: fn(Hectopascal, /) -> Hectopascal
}
alias RawData = Frame[
station_id: str,
timestamp: str,
temperature: float,
pressure: float,
humidity: float,
]
alias Data = Frame[
station_id: StationID,
timestamp: object,
temperature: Temperature,
pressure: Pressure,
humidity: Humidity,
]
alias DataWithHI = Frame[
station_id: StationID,
timestamp: object,
temperature: Temperature,
pressure: Pressure,
humidity: Humidity,
heat_index: HeatIndex,
]
alias DailyAverages = Frame[
timestamp: object,
temperature: Mean[Temperature],
pressure: Mean[Pressure],
humidity: Mean[Humidity],
heat_index: Mean[HeatIndex],
]
predicate limit_amplitude(max_amp: float)(ls: list[float]) = max(ls) - min(ls) <= max_amp
type LowAmplitudeWave = list[float where _ >= 1] where limit_amplitude(10)(_)

View File

@@ -0,0 +1,43 @@
import datetime
import random
import pandas as pd
stations = ["SIO", "AIG", "ZER"]
start_ts = datetime.datetime(2026, 1, 1)
end_ts = datetime.datetime(2027, 1, 1)
delta = end_ts - start_ts
min_temp, max_temp = -30.0, 100.0
min_pres, max_pres = 800.0, 1100.0
min_hum, max_hum = 0.0, 1.0
N = 3000
rows: list[tuple[str, datetime.datetime, float, float, float]] = []
for _ in range(N):
ts = random.random() * delta + start_ts
rows.append(
(
random.choice(stations),
ts,
random.random() * (max_temp - min_temp) + min_temp,
random.random() * (max_pres - min_pres) + min_pres,
random.random() * (max_hum - min_hum) + min_hum,
)
)
df = pd.DataFrame(
rows,
columns=[
"station_id",
"timestamp",
"temperature",
"pressure",
"humidity",
],
)
df = df.sort_values(by=["timestamp", "station_id"])
df.to_csv("data.csv", index=False)

View File

@@ -0,0 +1,81 @@
from pathlib import Path
import matplotlib.pyplot as plt
import pandas as pd
from custom_types import DailyAverages, Data, DataWithHI, HeatIndex, RawData
from midas.typing import Column, cast, unsafe_cast
def load_data(path: Path) -> RawData:
# Check base types and dataframe structure
return cast(RawData, pd.read_csv(path))
def convert_data(raw_df: RawData) -> Data:
new_df = raw_df.copy()
new_df["timestamp"] = cast(
Column[object],
pd.to_datetime(new_df["timestamp"]),
)
# Check types and constraints at runtime, catches out-of-range values and
# invalid types / malformed data
return cast(Data, new_df)
def compute_heat_index(df: Data):
# The computation's result can only be typed as `Column[float]`
# Casting is necessary to bring back semantic
df["heat_index"] = cast(
Column[HeatIndex],
(
df["temperature"] * 2.0
+ df["humidity"] * 10.0
- df["temperature"] * df["humidity"] * 0.2
),
)
return df
def daily_avg(df: DataWithHI):
# Group-by and aggregation methods keep the structure of the dataframe but
# may erase the exact types
# The type checker is still very conservative and often the result of most
# aggregation methods as `Column[Any]`
return cast(
DailyAverages,
df.groupby(
by=[
df["station_id"],
df["timestamp"].dt.day.rename("day"),
],
)
.mean()
.sort_values(by="timestamp"),
)
def plot(df: DailyAverages):
# Some operations are not implemented in Midas but the user can still use
# them, they will just not be fully type-checked
# `unsafe_cast` can also be used to avoid trivial, redundant or costly checks
stations = unsafe_cast(list[str], list(df.index.get_level_values(0).unique()))
for station in stations:
sub_df = unsafe_cast(DailyAverages, df.loc[station])
plt.plot(sub_df["timestamp"], sub_df["heat_index"])
plt.show()
def main():
# Assigning to annotated variables help catch errors
raw_df: RawData = load_data(Path("data.csv"))
df: Data = convert_data(raw_df)
with_hi = compute_heat_index(df)
dailies = daily_avg(with_hi)
plot(dailies)
if __name__ == "__main__":
main()

View File

@@ -1,3 +1,9 @@
"""
Helper script to generate AST nodes for Midas and Python.
Takes in simple templates and generates full dataclasses and a visitor interface
"""
import re
from pathlib import Path

View File

@@ -29,9 +29,9 @@ class MemberKind(Enum):
@dataclass(frozen=True, kw_only=True)
class ParamSpec:
l_paren: Token
pos: list[FunctionType.Argument]
mixed: list[FunctionType.Argument]
kw: list[FunctionType.Argument]
pos: list[FunctionType.Parameter]
mixed: list[FunctionType.Parameter]
kw: list[FunctionType.Parameter]
###<
@@ -44,6 +44,11 @@ class TypeStmt:
type: Type
class AliasStmt:
name: Token
type: Type
class MemberStmt:
name: Token
type: Type
@@ -145,11 +150,21 @@ class FunctionType:
returns: Type
@dataclass(frozen=True, kw_only=True)
class Argument:
class Parameter:
location: Optional[Location] = None
name: Optional[Token]
type: Type
required: bool
class FrameType:
columns: list[Column]
@dataclass(frozen=True, kw_only=True)
class Column:
location: Optional[Location] = None
name: Token
type: Type
###<

View File

@@ -12,10 +12,36 @@ from midas.ast.location import Location
###<
###> Preamble
@dataclass(frozen=True, kw_only=True)
class ParamSpec:
pos: list[Function.Parameter]
mixed: list[Function.Parameter]
kw: list[Function.Parameter]
@property
def all(self) -> list[Function.Parameter]:
return self.pos + self.mixed + self.kw
@dataclass(frozen=True, kw_only=True)
class ImportAlias:
location: Location
name: str
alias: Optional[str] = None
@property
def imported_name(self) -> str:
return self.alias if self.alias is not None else self.name
###<
###> MidasType | Type annotations | node
class BaseType:
base: str
param: Optional[MidasType]
args: tuple[MidasType, ...]
class ConstraintType:
@@ -42,25 +68,17 @@ class ExpressionStmt:
class Function:
name: str
posonlyargs: list[Argument]
args: list[Argument]
sink: Optional[Argument]
kwonlyargs: list[Argument]
kw_sink: Optional[Argument]
params: ParamSpec
returns: Optional[MidasType]
body: list[Stmt]
@dataclass(frozen=True, kw_only=True)
class Argument:
class Parameter:
location: Optional[Location] = None
name: str
type: Optional[MidasType]
default: Optional[Expr]
@property
def all_args(self) -> list[Argument]:
return self.posonlyargs + self.args + self.kwonlyargs
class TypeAssign:
name: str
@@ -92,6 +110,16 @@ class ForStmt:
body: list[Stmt]
class ImportStmt:
imports: list[ImportAlias]
class FromImportStmt:
module: Optional[str]
imports: list[ImportAlias]
level: int
class RawStmt:
stmt: ast.stmt
@@ -174,6 +202,10 @@ class SliceExpr:
step: Optional[Expr]
class TupleExpr:
items: tuple[Expr, ...]
class RawExpr:
expr: ast.expr

View File

@@ -13,6 +13,8 @@ class HasLocation(Protocol):
@dataclass(frozen=True, kw_only=True)
class Location:
"""Information about the location of an AST node"""
lineno: int
col_offset: int
end_lineno: Optional[int]
@@ -29,6 +31,16 @@ class Location:
@staticmethod
def span(start: Location, end: Location) -> Location:
"""Create a new location spanning from one location to another
Args:
start (Location): the starting location
end (Location): the end location
Returns:
Location: a new location spanning from the start of `start`
to the end of `end`
"""
return Location(
lineno=start.lineno,
col_offset=start.col_offset,

View File

@@ -30,9 +30,9 @@ class MemberKind(Enum):
@dataclass(frozen=True, kw_only=True)
class ParamSpec:
l_paren: Token
pos: list[FunctionType.Argument]
mixed: list[FunctionType.Argument]
kw: list[FunctionType.Argument]
pos: list[FunctionType.Parameter]
mixed: list[FunctionType.Parameter]
kw: list[FunctionType.Parameter]
##############
@@ -51,6 +51,9 @@ class Stmt(ABC):
@abstractmethod
def visit_type_stmt(self, stmt: TypeStmt) -> T: ...
@abstractmethod
def visit_alias_stmt(self, stmt: AliasStmt) -> T: ...
@abstractmethod
def visit_member_stmt(self, stmt: MemberStmt) -> T: ...
@@ -71,6 +74,15 @@ class TypeStmt(Stmt):
return visitor.visit_type_stmt(self)
@dataclass(frozen=True)
class AliasStmt(Stmt):
name: Token
type: Type
def accept(self, visitor: Stmt.Visitor[T]) -> T:
return visitor.visit_alias_stmt(self)
@dataclass(frozen=True)
class MemberStmt(Stmt):
name: Token
@@ -253,6 +265,9 @@ class Type(ABC):
@abstractmethod
def visit_function_type(self, type: FunctionType) -> T: ...
@abstractmethod
def visit_frame_type(self, type: FrameType) -> T: ...
@dataclass(frozen=True)
class NamedType(Type):
@@ -303,7 +318,7 @@ class FunctionType(Type):
returns: Type
@dataclass(frozen=True, kw_only=True)
class Argument:
class Parameter:
location: Optional[Location] = None
name: Optional[Token]
type: Type
@@ -311,3 +326,17 @@ class FunctionType(Type):
def accept(self, visitor: Type.Visitor[T]) -> T:
return visitor.visit_function_type(self)
@dataclass(frozen=True)
class FrameType(Type):
columns: list[Column]
@dataclass(frozen=True, kw_only=True)
class Column:
location: Optional[Location] = None
name: Token
type: Type
def accept(self, visitor: Type.Visitor[T]) -> T:
return visitor.visit_frame_type(self)

View File

@@ -1,832 +0,0 @@
from __future__ import annotations
import ast
import io
from contextlib import contextmanager
from enum import Enum, auto
from typing import Generator, Generic, Optional, Protocol, TypeVar
import midas.ast.midas as m
import midas.ast.python as p
class _Level(Enum):
EMPTY = auto()
ACTIVE = auto()
LAST = auto()
class Expr(Protocol):
def accept(self, printer: AstPrinter) -> None: ...
T = TypeVar("T", bound=Expr)
class AstPrinter(Generic[T]):
LAST_CHILD = "└── "
CHILD = "├── "
VERTICAL = ""
EMPTY = " "
def __init__(self):
self._levels: list[_Level] = []
self._idx: Optional[int] = None
self._buf: io.StringIO = io.StringIO()
def print(self, expr: T):
self._buf = io.StringIO()
expr.accept(self)
return self._buf.getvalue()
@contextmanager
def _child_level(self, single: bool = False) -> Generator[None, None, None]:
self._levels.append(_Level.LAST if single else _Level.ACTIVE)
try:
yield
finally:
self._levels.pop()
def _mark_last(self):
if self._levels:
self._levels[-1] = _Level.LAST
def _write_line(self, text: str, *, last: bool = False):
if last:
self._mark_last()
indent: str = self._build_indent()
if self._idx is not None:
text = f"[{self._idx}] {text}"
self._idx = None
self._buf.write(indent + text + "\n")
def _build_indent(self) -> str:
parts: list[str] = []
for level in self._levels[:-1]:
parts.append(self.EMPTY if level == _Level.EMPTY else self.VERTICAL)
if self._levels:
if self._levels[-1] == _Level.LAST:
parts.append(self.LAST_CHILD)
self._levels[-1] = _Level.EMPTY
else:
parts.append(self.CHILD)
return "".join(parts)
def _write_optional_child(
self, label: str, child: Optional[T], *, last: bool = False
):
if last:
self._mark_last()
if child is None:
self._write_line(f"{label}: None")
else:
self._write_line(label)
with self._child_level(single=True):
child.accept(self)
class MidasAstPrinter(
AstPrinter, m.Expr.Visitor[None], m.Stmt.Visitor[None], m.Type.Visitor[None]
):
# Statements
def visit_type_stmt(self, stmt: m.TypeStmt) -> None:
self._write_line("TypeStmt")
with self._child_level():
self._write_line(f'name: "{stmt.name.lexeme}"')
self._write_line("params")
with self._child_level():
for i, param in enumerate(stmt.params):
self._idx = i
if i == len(stmt.params) - 1:
self._mark_last()
self._print_type_param(param)
self._write_line("type", last=True)
with self._child_level(single=True):
stmt.type.accept(self)
def _print_type_param(self, param: m.TypeParam) -> None:
self._write_line("Param")
with self._child_level():
self._write_line(f'name: "{param.name.lexeme}"')
self._write_optional_child("bound", param.bound, last=True)
def visit_member_stmt(self, stmt: m.MemberStmt):
self._write_line("MemberStmt")
with self._child_level():
self._write_line(f"kind: {stmt.kind.name}")
self._write_line(f'name: "{stmt.name.lexeme}"')
self._write_line("type", last=True)
with self._child_level(single=True):
stmt.type.accept(self)
def visit_extend_stmt(self, stmt: m.ExtendStmt) -> None:
self._write_line("ExtendStmt")
with self._child_level():
self._write_line("params")
with self._child_level():
for i, param in enumerate(stmt.params):
self._idx = i
if i == len(stmt.params) - 1:
self._mark_last()
self._print_type_param(param)
self._write_line(f'name: "{stmt.name.lexeme}"')
self._write_line("params")
with self._child_level():
for i, param in enumerate(stmt.params):
self._idx = i
if i == len(stmt.params) - 1:
self._mark_last()
self._print_type_param(param)
self._write_line("members", last=True)
with self._child_level():
for i, member in enumerate(stmt.members):
self._idx = i
if i == len(stmt.members) - 1:
self._mark_last()
member.accept(self)
def visit_predicate_stmt(self, stmt: m.PredicateStmt):
self._write_line("PredicateStmt")
with self._child_level():
self._write_line(f'name: "{stmt.name.lexeme}"')
self._write_line("params")
with self._child_level():
for i, spec in enumerate(stmt.params):
self._idx = i
if i == len(stmt.params) - 1:
self._mark_last()
self._visit_param_spec(spec)
self._write_line("body", last=True)
with self._child_level(single=True):
stmt.body.accept(self)
# Expressions
def visit_logical_expr(self, expr: m.LogicalExpr):
self._write_line("LogicalExpr")
with self._child_level():
self._write_line("left")
with self._child_level(single=True):
expr.left.accept(self)
self._write_line(f"operator: {expr.operator.lexeme}")
self._write_line("right", last=True)
with self._child_level(single=True):
expr.right.accept(self)
def visit_binary_expr(self, expr: m.BinaryExpr):
self._write_line("BinaryExpr")
with self._child_level():
self._write_line("left")
with self._child_level(single=True):
expr.left.accept(self)
self._write_line(f"operator: {expr.operator.lexeme}")
self._write_line("right", last=True)
with self._child_level(single=True):
expr.right.accept(self)
def visit_unary_expr(self, expr: m.UnaryExpr):
self._write_line("UnaryExpr")
with self._child_level():
self._write_line(f"operator: {expr.operator.lexeme}")
self._write_line("right", last=True)
with self._child_level(single=True):
expr.right.accept(self)
def visit_call_expr(self, expr: m.CallExpr) -> None:
self._write_line("CallExpr")
with self._child_level():
self._write_line("callee")
with self._child_level(single=True):
expr.callee.accept(self)
self._write_line("arguments")
with self._child_level():
for i, arg in enumerate(expr.arguments):
self._idx = i
if i == len(expr.arguments) - 1:
self._mark_last()
arg.accept(self)
self._write_line("keywords", last=True)
with self._child_level():
for i, (name, arg) in enumerate(expr.keywords.items()):
self._idx = i
if i == len(expr.keywords) - 1:
self._mark_last()
self._write_line(name)
with self._child_level(single=True):
arg.accept(self)
def visit_get_expr(self, expr: m.GetExpr):
self._write_line("GetExpr")
with self._child_level():
self._write_line("expr")
with self._child_level(single=True):
expr.expr.accept(self)
self._write_line(f'name: "{expr.name.lexeme}"', last=True)
def visit_variable_expr(self, expr: m.VariableExpr):
self._write_line("VariableExpr")
with self._child_level():
self._write_line(f'name: "{expr.name.lexeme}"', last=True)
def visit_grouping_expr(self, expr: m.GroupingExpr):
self._write_line("GroupingExpr")
with self._child_level():
self._write_line("expr", last=True)
with self._child_level(single=True):
expr.expr.accept(self)
def visit_literal_expr(self, expr: m.LiteralExpr) -> None:
self._write_line("LiteralExpr")
with self._child_level():
self._write_line(f"value: {expr.value}", last=True)
def visit_wildcard_expr(self, expr: m.WildcardExpr) -> None:
self._write_line("WildcardExpr")
def visit_named_type(self, type: m.NamedType) -> None:
self._write_line("NamedType")
with self._child_level():
self._write_line(f'name: "{type.name.lexeme}"', last=True)
def visit_generic_type(self, type: m.GenericType) -> None:
self._write_line("GenericType")
with self._child_level():
self._write_line("type")
with self._child_level():
type.type.accept(self)
self._write_line("args", last=True)
with self._child_level():
for i, param in enumerate(type.args):
self._idx = i
if i == len(type.args) - 1:
self._mark_last()
param.accept(self)
def visit_constraint_type(self, type: m.ConstraintType) -> None:
self._write_line("ConstraintType")
with self._child_level():
self._write_line("type")
with self._child_level(single=True):
type.type.accept(self)
self._write_line("constraint", last=True)
with self._child_level(single=True):
type.constraint.accept(self)
def visit_complex_type(self, type: m.ComplexType) -> None:
self._write_line("ComplexType")
with self._child_level():
self._write_line("members", last=True)
with self._child_level():
for i, member in enumerate(type.members):
self._idx = i
if i == len(type.members) - 1:
self._mark_last()
member.accept(self)
def visit_extension_type(self, type: m.ExtensionType) -> None:
self._write_line("ExtensionType")
with self._child_level():
self._write_line("base")
with self._child_level(single=True):
type.base.accept(self)
self._write_line("extension", last=True)
with self._child_level(single=True):
type.extension.accept(self)
def visit_function_type(self, type: m.FunctionType) -> None:
self._write_line("FunctionType")
with self._child_level():
self._write_line("params")
with self._child_level(single=True):
self._visit_param_spec(type.params)
self._write_line("returns", last=True)
with self._child_level(single=True):
type.returns.accept(self)
def _visit_param_spec(self, spec: m.ParamSpec) -> None:
self._write_line("ParamSpec")
with self._child_level():
self._write_line("pos")
with self._child_level():
for i, arg in enumerate(spec.pos):
self._idx = i
if i == len(spec.pos) - 1:
self._mark_last()
self._print_function_arg(arg)
self._write_line("mixed")
with self._child_level():
for i, arg in enumerate(spec.mixed):
self._idx = i
if i == len(spec.mixed) - 1:
self._mark_last()
self._print_function_arg(arg)
self._write_line("kw", last=True)
with self._child_level():
for i, arg in enumerate(spec.kw):
self._idx = i
if i == len(spec.kw) - 1:
self._mark_last()
self._print_function_arg(arg)
def _print_function_arg(self, arg: m.FunctionType.Argument) -> None:
self._write_line("Argument")
with self._child_level():
name: str = "None"
if arg.name is not None:
name = f'"{arg.name.lexeme}"'
self._write_line(f"name: {name}")
self._write_line("type")
with self._child_level(single=True):
arg.type.accept(self)
self._write_line(f"required: {arg.required}", last=True)
class MidasPrinter(m.Expr.Visitor[str], m.Stmt.Visitor[str], m.Type.Visitor[str]):
def __init__(self, indent: int = 4):
self.indent: int = indent
self.level: int = 0
def indented(self, text: str) -> str:
return " " * (self.level * self.indent) + text
def print(self, expr: m.Expr | m.Stmt | m.Type) -> str:
self.level = 0
return expr.accept(self)
def visit_type_stmt(self, stmt: m.TypeStmt) -> str:
template: str = ""
if len(stmt.params) != 0:
params: list[str] = [self._print_type_param(param) for param in stmt.params]
template = f"[{', '.join(params)}]"
res: str = f"type {stmt.name.lexeme}{template} = {stmt.type.accept(self)}"
return self.indented(res)
def _print_type_param(self, param: m.TypeParam) -> str:
res: str = param.name.lexeme
if param.bound is not None:
res += "<:" + param.bound.accept(self)
return res
def visit_member_stmt(self, stmt: m.MemberStmt):
keyword: str = {
m.MemberKind.PROPERTY: "prop",
m.MemberKind.METHOD: "def",
}.get(stmt.kind, "")
res: str = f"{keyword} {stmt.name.lexeme}: {stmt.type.accept(self)}"
return self.indented(res)
def visit_extend_stmt(self, stmt: m.ExtendStmt):
template: str = ""
if len(stmt.params) != 0:
params: list[str] = [self._print_type_param(param) for param in stmt.params]
template = f"[{', '.join(params)}]"
res: str = self.indented(f"extend {stmt.name.lexeme}{template}")
res += " {\n"
self.level += 1
for member in stmt.members:
res += member.accept(self) + "\n"
self.level -= 1
res += self.indented("}")
return res
def visit_predicate_stmt(self, stmt: m.PredicateStmt):
name: str = stmt.name.lexeme
sig: str = "".join(self._visit_param_spec(spec) for spec in stmt.params)
body: str = stmt.body.accept(self)
return self.indented(f"predicate {name}{sig} = {body}")
def visit_logical_expr(self, expr: m.LogicalExpr):
left: str = expr.left.accept(self)
operator: str = expr.operator.lexeme
right: str = expr.right.accept(self)
return f"{left} {operator} {right}"
def visit_binary_expr(self, expr: m.BinaryExpr):
left: str = expr.left.accept(self)
operator: str = expr.operator.lexeme
right: str = expr.right.accept(self)
return f"{left} {operator} {right}"
def visit_unary_expr(self, expr: m.UnaryExpr):
operator: str = expr.operator.lexeme
right: str = expr.right.accept(self)
return f"{operator}{right}"
def visit_call_expr(self, expr: m.CallExpr) -> str:
args: list[str] = [arg.accept(self) for arg in expr.arguments] + [
f"{name}={arg.accept(self)}" for name, arg in expr.keywords.items()
]
return f"{expr.callee.accept(self)}({', '.join(args)})"
def visit_get_expr(self, expr: m.GetExpr):
expr_: str = expr.expr.accept(self)
name: str = expr.name.lexeme
return f"{expr_}.{name}"
def visit_variable_expr(self, expr: m.VariableExpr):
return expr.name.lexeme
def visit_grouping_expr(self, expr: m.GroupingExpr):
expr_: str = expr.expr.accept(self)
return f"({expr_})"
def visit_literal_expr(self, expr: m.LiteralExpr):
return str(expr.value)
def visit_wildcard_expr(self, expr: m.WildcardExpr):
return "_"
def visit_named_type(self, type: m.NamedType) -> str:
return type.name.lexeme
def visit_generic_type(self, type: m.GenericType) -> str:
res: str = type.type.accept(self)
if len(type.args) != 0:
args: list[str] = [param.accept(self) for param in type.args]
res += f"[{', '.join(args)}]"
return res
def visit_constraint_type(self, type: m.ConstraintType) -> str:
res: str = type.type.accept(self)
res += " where " + type.constraint.accept(self)
return res
def visit_complex_type(self, type: m.ComplexType) -> str:
res: str = "{\n"
self.level += 1
for member in type.members:
res += member.accept(self)
res += "\n"
self.level -= 1
res += self.indented("}")
return res
def visit_extension_type(self, type: m.ExtensionType) -> str:
return f"{type.base.accept(self)} & {type.extension.accept(self)}"
def visit_function_type(self, type: m.FunctionType) -> str:
spec: str = self._visit_param_spec(type.params)
return f"fn {spec} -> {type.returns.accept(self)}"
def _visit_param_spec(self, spec: m.ParamSpec) -> str:
pos_args: list[str] = [self._print_arg(arg) for arg in spec.pos]
mixed_args: list[str] = [self._print_arg(arg) for arg in spec.mixed]
kw_args: list[str] = [self._print_arg(arg) for arg in spec.kw]
args: list[str] = pos_args
if len(pos_args) != 0:
args.append("/")
args += mixed_args
if len(kw_args) != 0:
args.append("*")
args += kw_args
return f"({', '.join(args)})"
def _print_arg(self, arg: m.FunctionType.Argument) -> str:
res: str = ""
if arg.name is not None:
res += arg.name.lexeme
res += ": "
res += arg.type.accept(self)
if not arg.required:
res += "?"
return res
class PythonAstPrinter(
AstPrinter,
p.MidasType.Visitor[None],
p.Stmt.Visitor[None],
p.Expr.Visitor[None],
):
def visit_base_type(self, node: p.BaseType) -> None:
self._write_line("BaseType")
with self._child_level():
self._write_line(f"base: {node.base}")
self._write_optional_child("param", node.param, last=True)
def visit_constraint_type(self, node: p.ConstraintType) -> None:
self._write_line("ConstraintType")
with self._child_level():
self._write_line("type")
with self._child_level(single=True):
node.type.accept(self)
self._write_line(f"constraint: {ast.unparse(node.constraint)}", last=True)
def visit_frame_column(self, node: p.FrameColumn) -> None:
self._write_line("FrameColumn")
with self._child_level():
self._write_line(f"name: {node.name}")
self._write_optional_child("type", node.type, last=True)
def visit_frame_type(self, node: p.FrameType) -> None:
self._write_line("FrameType")
with self._child_level():
self._write_line("columns", last=True)
with self._child_level():
for i, col in enumerate(node.columns):
self._idx = i
if i == len(node.columns) - 1:
self._mark_last()
col.accept(self)
def visit_expression_stmt(self, stmt: p.ExpressionStmt) -> None:
stmt.expr.accept(self)
def visit_function(self, stmt: p.Function) -> None:
self._write_line("Function")
with self._child_level():
self._write_line(f"name: {stmt.name}")
self._write_line("posonlyargs")
with self._child_level():
for i, arg in enumerate(stmt.posonlyargs):
self._idx = i
if i == len(stmt.posonlyargs) - 1:
self._mark_last()
self._print_argument(arg)
self._write_line("args")
with self._child_level():
for i, arg in enumerate(stmt.args):
self._idx = i
if i == len(stmt.args) - 1:
self._mark_last()
self._print_argument(arg)
self._write_line("kwonlyargs")
with self._child_level():
for i, arg in enumerate(stmt.kwonlyargs):
self._idx = i
if i == len(stmt.kwonlyargs) - 1:
self._mark_last()
self._print_argument(arg)
self._write_optional_child("returns", stmt.returns)
self._write_line("body", last=True)
with self._child_level():
for i, body_stmt in enumerate(stmt.body):
self._idx = i
if i == len(stmt.body) - 1:
self._mark_last()
body_stmt.accept(self)
def _print_argument(self, arg: p.Function.Argument) -> None:
self._write_line("FunctionArgument")
with self._child_level():
self._write_line(f"name: {arg.name}")
self._write_optional_child("type", arg.type, last=True)
def visit_type_assign(self, stmt: p.TypeAssign) -> None:
self._write_line("TypeAssign")
with self._child_level():
self._write_line(f"name: {stmt.name}")
self._write_line("type", last=True)
with self._child_level(single=True):
stmt.type.accept(self)
def visit_assign_stmt(self, stmt: p.AssignStmt) -> None:
self._write_line("AssignStmt")
with self._child_level():
self._write_line("targets")
with self._child_level():
for i, target in enumerate(stmt.targets):
self._idx = i
if i == len(stmt.targets) - 1:
self._mark_last()
target.accept(self)
self._write_line("value", last=True)
with self._child_level(single=True):
stmt.value.accept(self)
def visit_return_stmt(self, stmt: p.ReturnStmt) -> None:
self._write_line("ReturnStmt")
with self._child_level():
self._write_optional_child("value", stmt.value, last=True)
def visit_if_stmt(self, stmt: p.IfStmt) -> None:
self._write_line("IfStmt")
with self._child_level():
self._write_line("test")
with self._child_level(single=True):
stmt.test.accept(self)
self._write_line("body")
with self._child_level():
for i, body_stmt in enumerate(stmt.body):
self._idx = i
if i == len(stmt.body) - 1:
self._mark_last()
body_stmt.accept(self)
self._write_line("orelse", last=True)
with self._child_level():
for i, else_stmt in enumerate(stmt.orelse):
self._idx = i
if i == len(stmt.orelse) - 1:
self._mark_last()
else_stmt.accept(self)
def visit_pass(self, stmt: p.Pass) -> None:
self._write_line("Pass")
def visit_for_stmt(self, stmt: p.ForStmt) -> None:
self._write_line("ForStmt")
with self._child_level():
self._write_line("target")
with self._child_level(single=True):
stmt.target.accept(self)
self._write_line("iterator")
with self._child_level(single=True):
stmt.iterator.accept(self)
self._write_line("body", last=True)
with self._child_level():
for i, body_stmt in enumerate(stmt.body):
self._idx = i
if i == len(stmt.body) - 1:
self._mark_last()
body_stmt.accept(self)
def visit_raw_stmt(self, stmt: p.RawStmt) -> None:
self._write_line("RawStmt")
with self._child_level(single=True):
self._write_line(f"stmt: {ast.unparse(stmt.stmt)}")
def visit_binary_expr(self, expr: p.BinaryExpr) -> None:
self._write_line("BinaryExpr")
with self._child_level():
self._write_line("left")
with self._child_level(single=True):
expr.left.accept(self)
self._write_line(f"operator: {expr.operator.__class__.__name__}")
self._write_line("right", last=True)
with self._child_level(single=True):
expr.right.accept(self)
def visit_compare_expr(self, expr: p.CompareExpr) -> None:
self._write_line("CompareExpr")
with self._child_level():
self._write_line("left")
with self._child_level(single=True):
expr.left.accept(self)
self._write_line(f"operator: {expr.operator.__class__.__name__}")
self._write_line("right", last=True)
with self._child_level(single=True):
expr.right.accept(self)
def visit_unary_expr(self, expr: p.UnaryExpr) -> None:
self._write_line("UnaryExpr")
with self._child_level():
self._write_line(f"operator: {expr.operator.__class__.__name__}")
self._write_line("right", last=True)
with self._child_level(single=True):
expr.right.accept(self)
def visit_call_expr(self, expr: p.CallExpr) -> None:
self._write_line("CallExpr")
with self._child_level():
self._write_line("callee")
with self._child_level(single=True):
expr.callee.accept(self)
self._write_line("arguments")
with self._child_level():
for i, arg in enumerate(expr.arguments):
self._idx = i
if i == len(expr.arguments) - 1:
self._mark_last()
arg.accept(self)
self._write_line("keywords", last=True)
with self._child_level():
for i, (name, arg) in enumerate(expr.keywords.items()):
self._idx = i
if i == len(expr.keywords) - 1:
self._mark_last()
self._write_line(name)
with self._child_level(single=True):
arg.accept(self)
def visit_get_expr(self, expr: p.GetExpr) -> None:
self._write_line("GetExpr")
with self._child_level():
self._write_line("object")
with self._child_level(single=True):
expr.object.accept(self)
self._write_line(f"name: {expr.name}", last=True)
def visit_literal_expr(self, expr: p.LiteralExpr) -> None:
self._write_line("LiteralExpr")
with self._child_level(single=True):
self._write_line(f"value: {expr.value!r}")
def visit_variable_expr(self, expr: p.VariableExpr) -> None:
self._write_line("VariableExpr")
with self._child_level(single=True):
self._write_line(f"name: {expr.name}")
def visit_logical_expr(self, expr: p.LogicalExpr) -> None:
self._write_line("LogicalExpr")
with self._child_level():
self._write_line("left")
with self._child_level(single=True):
expr.left.accept(self)
self._write_line(f"operator: {expr.operator.__class__.__name__}")
self._write_line("right", last=True)
with self._child_level(single=True):
expr.right.accept(self)
def visit_cast_expr(self, expr: p.CastExpr) -> None:
self._write_line("CastExpr")
with self._child_level():
self._write_line("type")
with self._child_level(single=True):
expr.type.accept(self)
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")
with self._child_level():
self._write_line("test")
with self._child_level(single=True):
expr.test.accept(self)
self._write_line("if_true")
with self._child_level(single=True):
expr.if_true.accept(self)
self._write_line("if_false", last=True)
with self._child_level(single=True):
expr.if_false.accept(self)
def visit_list_expr(self, expr: p.ListExpr) -> None:
self._write_line("ListExpr")
with self._child_level():
self._write_line("items", last=True)
with self._child_level():
for i, item in enumerate(expr.items):
self._idx = i
if i == len(expr.items) - 1:
self._mark_last()
item.accept(self)
def visit_dict_expr(self, expr: p.DictExpr) -> None:
self._write_line("DictExpr")
with self._child_level():
self._write_line("keys")
with self._child_level():
for i, key in enumerate(expr.keys):
self._idx = i
if i == len(expr.keys) - 1:
self._mark_last()
if key is None:
self._write_line("None")
else:
key.accept(self)
self._write_line("values", last=True)
with self._child_level():
for i, value in enumerate(expr.values):
self._idx = i
if i == len(expr.values) - 1:
self._mark_last()
value.accept(self)
def visit_subscript_expr(self, expr: p.SubscriptExpr) -> None:
self._write_line("SubscriptExpr")
with self._child_level():
self._write_line("object")
with self._child_level(single=True):
expr.object.accept(self)
self._write_line("index", last=True)
with self._child_level(single=True):
expr.index.accept(self)
def visit_slice_expr(self, expr: p.SliceExpr) -> None:
self._write_line("SliceExpr")
with self._child_level():
self._write_optional_child("lower", expr.lower)
self._write_optional_child("upper", expr.upper)
self._write_optional_child("step", expr.step, last=True)
def visit_raw_expr(self, expr: p.RawExpr) -> None:
self._write_line("RawExpr")
with self._child_level(single=True):
self._write_line(f"expr: {ast.unparse(expr.expr)}")

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from .midas import MidasPrinter as MidasPrinter
from .midas_ast import MidasAstPrinter as MidasAstPrinter
from .python_ast import PythonAstPrinter as PythonAstPrinter

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midas/ast/printer/base.py Normal file
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from __future__ import annotations
import io
from contextlib import contextmanager
from enum import Enum, auto
from typing import Callable, Generator, Generic, Optional, Protocol, Sequence, TypeVar
class _Level(Enum):
EMPTY = auto()
ACTIVE = auto()
LAST = auto()
class Expr(Protocol):
def accept(self, printer: AstPrinter) -> None: ...
T = TypeVar("T", bound=Expr)
class AstPrinter(Generic[T]):
LAST_CHILD = "└── "
CHILD = "├── "
VERTICAL = ""
EMPTY = " "
def __init__(self):
self._levels: list[_Level] = []
self._idx: Optional[int] = None
self._buf: io.StringIO = io.StringIO()
def print(self, expr: T):
self._buf = io.StringIO()
expr.accept(self)
return self._buf.getvalue()
@contextmanager
def _child_level(self, single: bool = False) -> Generator[None, None, None]:
self._levels.append(_Level.LAST if single else _Level.ACTIVE)
try:
yield
finally:
self._levels.pop()
def _mark_last(self):
if self._levels:
self._levels[-1] = _Level.LAST
def _write_line(self, text: str, *, last: bool = False):
if last:
self._mark_last()
indent: str = self._build_indent()
if self._idx is not None:
text = f"[{self._idx}] {text}"
self._idx = None
self._buf.write(indent + text + "\n")
def _build_indent(self) -> str:
parts: list[str] = []
for level in self._levels[:-1]:
parts.append(self.EMPTY if level == _Level.EMPTY else self.VERTICAL)
if self._levels:
if self._levels[-1] == _Level.LAST:
parts.append(self.LAST_CHILD)
self._levels[-1] = _Level.EMPTY
else:
parts.append(self.CHILD)
return "".join(parts)
def _write_optional_child(
self, label: str, child: Optional[T], *, last: bool = False
):
if last:
self._mark_last()
if child is None:
self._write_line(f"{label}: None")
else:
self._write_line(label)
with self._child_level(single=True):
child.accept(self)
def _write_sequence(
self,
label: str,
list_: Sequence[T],
*,
last: bool = False,
print_func: Optional[Callable[[T], None]] = None,
):
if last:
self._mark_last()
self._write_line(label)
with self._child_level():
for i, item in enumerate(list_):
self._idx = i
if i == len(list_) - 1:
self._mark_last()
if print_func is not None:
print_func(item)
else:
item.accept(self)

183
midas/ast/printer/midas.py Normal file
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import midas.ast.midas as m
class MidasPrinter(
m.Expr.Visitor[str],
m.Stmt.Visitor[str],
m.Type.Visitor[str],
):
def __init__(self, indent: int = 4):
self.indent: int = indent
self.level: int = 0
def indented(self, text: str) -> str:
return " " * (self.level * self.indent) + text
def print(self, expr: m.Expr | m.Stmt | m.Type) -> str:
self.level = 0
return expr.accept(self)
# Statements
def visit_type_stmt(self, stmt: m.TypeStmt) -> str:
template: str = ""
if len(stmt.params) != 0:
params: list[str] = [self._print_type_param(param) for param in stmt.params]
template = f"[{', '.join(params)}]"
res: str = f"type {stmt.name.lexeme}{template} = {stmt.type.accept(self)}"
return self.indented(res)
def visit_alias_stmt(self, stmt: m.AliasStmt) -> str:
return self.indented(f"alias {stmt.name.lexeme} = {stmt.type.accept(self)}")
def _print_type_param(self, param: m.TypeParam) -> str:
res: str = param.name.lexeme
if param.bound is not None:
res += "<:" + param.bound.accept(self)
return res
def visit_member_stmt(self, stmt: m.MemberStmt):
keyword: str = {
m.MemberKind.PROPERTY: "prop",
m.MemberKind.METHOD: "def",
}.get(stmt.kind, "")
res: str = f"{keyword} {stmt.name.lexeme}: {stmt.type.accept(self)}"
return self.indented(res)
def visit_extend_stmt(self, stmt: m.ExtendStmt):
template: str = ""
if len(stmt.params) != 0:
params: list[str] = [self._print_type_param(param) for param in stmt.params]
template = f"[{', '.join(params)}]"
res: str = self.indented(f"extend {stmt.name.lexeme}{template}")
res += " {\n"
self.level += 1
for member in stmt.members:
res += member.accept(self) + "\n"
self.level -= 1
res += self.indented("}")
return res
def visit_predicate_stmt(self, stmt: m.PredicateStmt):
name: str = stmt.name.lexeme
sig: str = "".join(self._visit_param_spec(spec) for spec in stmt.params)
body: str = stmt.body.accept(self)
return self.indented(f"predicate {name}{sig} = {body}")
# Expressions
def visit_logical_expr(self, expr: m.LogicalExpr):
left: str = expr.left.accept(self)
operator: str = expr.operator.lexeme
right: str = expr.right.accept(self)
return f"{left} {operator} {right}"
def visit_binary_expr(self, expr: m.BinaryExpr):
left: str = expr.left.accept(self)
operator: str = expr.operator.lexeme
right: str = expr.right.accept(self)
return f"{left} {operator} {right}"
def visit_unary_expr(self, expr: m.UnaryExpr):
operator: str = expr.operator.lexeme
right: str = expr.right.accept(self)
return f"{operator}{right}"
def visit_call_expr(self, expr: m.CallExpr) -> str:
args: list[str] = [arg.accept(self) for arg in expr.arguments] + [
f"{name}={arg.accept(self)}" for name, arg in expr.keywords.items()
]
return f"{expr.callee.accept(self)}({', '.join(args)})"
def visit_get_expr(self, expr: m.GetExpr):
expr_: str = expr.expr.accept(self)
name: str = expr.name.lexeme
return f"{expr_}.{name}"
def visit_variable_expr(self, expr: m.VariableExpr):
return expr.name.lexeme
def visit_grouping_expr(self, expr: m.GroupingExpr):
expr_: str = expr.expr.accept(self)
return f"({expr_})"
def visit_literal_expr(self, expr: m.LiteralExpr):
return str(expr.value)
def visit_wildcard_expr(self, expr: m.WildcardExpr):
return "_"
# Types
def visit_named_type(self, type: m.NamedType) -> str:
return type.name.lexeme
def visit_generic_type(self, type: m.GenericType) -> str:
res: str = type.type.accept(self)
if len(type.args) != 0:
args: list[str] = [param.accept(self) for param in type.args]
res += f"[{', '.join(args)}]"
return res
def visit_constraint_type(self, type: m.ConstraintType) -> str:
res: str = type.type.accept(self)
res += " where " + type.constraint.accept(self)
return res
def visit_complex_type(self, type: m.ComplexType) -> str:
res: str = "{\n"
self.level += 1
for member in type.members:
res += member.accept(self)
res += "\n"
self.level -= 1
res += self.indented("}")
return res
def visit_extension_type(self, type: m.ExtensionType) -> str:
return f"{type.base.accept(self)} & {type.extension.accept(self)}"
def visit_function_type(self, type: m.FunctionType) -> str:
spec: str = self._visit_param_spec(type.params)
return f"fn {spec} -> {type.returns.accept(self)}"
def _visit_param_spec(self, spec: m.ParamSpec) -> str:
pos: list[str] = [self._print_param(param) for param in spec.pos]
mixed: list[str] = [self._print_param(param) for param in spec.mixed]
kw: list[str] = [self._print_param(param) for param in spec.kw]
params: list[str] = pos
if len(pos) != 0:
params.append("/")
params += mixed
if len(kw) != 0:
params.append("*")
params += kw
return f"({', '.join(params)})"
def _print_param(self, param: m.FunctionType.Parameter) -> str:
res: str = ""
if param.name is not None:
res += param.name.lexeme
res += ": "
res += param.type.accept(self)
if not param.required:
res += "?"
return res
def visit_frame_type(self, type: m.FrameType) -> str:
res: str = self.indented("Frame[")
if len(type.columns) != 0:
res += "\n"
self.level += 1
columns: list[str] = []
for column in type.columns:
columns.append(self.indented(self._print_frame_column(column)))
res += ",\n".join(columns)
self.level -= 1
res += "\n"
res += "]"
return res
def _print_frame_column(self, column: m.FrameType.Column) -> str:
return f"{column.name.lexeme}: {column.type.accept(self)}"

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import midas.ast.midas as m
from midas.ast.printer.base import AstPrinter
class MidasAstPrinter(
AstPrinter,
m.Expr.Visitor[None],
m.Stmt.Visitor[None],
m.Type.Visitor[None],
):
# Statements
def visit_type_stmt(self, stmt: m.TypeStmt) -> None:
self._write_line("TypeStmt")
with self._child_level():
self._write_line(f'name: "{stmt.name.lexeme}"')
self._write_sequence(
"params",
stmt.params,
print_func=self._print_type_param,
)
self._write_line("type", last=True)
with self._child_level(single=True):
stmt.type.accept(self)
def visit_alias_stmt(self, stmt: m.AliasStmt) -> None:
self._write_line("AliasStmt")
with self._child_level():
self._write_line(f'name: "{stmt.name.lexeme}"')
self._write_line("type", last=True)
with self._child_level(single=True):
stmt.type.accept(self)
def _print_type_param(self, param: m.TypeParam) -> None:
self._write_line("Param")
with self._child_level():
self._write_line(f'name: "{param.name.lexeme}"')
self._write_optional_child("bound", param.bound, last=True)
def visit_member_stmt(self, stmt: m.MemberStmt):
self._write_line("MemberStmt")
with self._child_level():
self._write_line(f"kind: {stmt.kind.name}")
self._write_line(f'name: "{stmt.name.lexeme}"')
self._write_line("type", last=True)
with self._child_level(single=True):
stmt.type.accept(self)
def visit_extend_stmt(self, stmt: m.ExtendStmt) -> None:
self._write_line("ExtendStmt")
with self._child_level():
self._write_line(f'name: "{stmt.name.lexeme}"')
self._write_sequence(
"params",
stmt.params,
print_func=self._print_type_param,
)
self._write_sequence("members", stmt.members, last=True)
def visit_predicate_stmt(self, stmt: m.PredicateStmt):
self._write_line("PredicateStmt")
with self._child_level():
self._write_line(f'name: "{stmt.name.lexeme}"')
self._write_sequence(
"params",
stmt.params,
print_func=self._visit_param_spec,
)
self._write_line("body", last=True)
with self._child_level(single=True):
stmt.body.accept(self)
# Expressions
def visit_logical_expr(self, expr: m.LogicalExpr):
self._write_line("LogicalExpr")
with self._child_level():
self._write_line("left")
with self._child_level(single=True):
expr.left.accept(self)
self._write_line(f"operator: {expr.operator.lexeme}")
self._write_line("right", last=True)
with self._child_level(single=True):
expr.right.accept(self)
def visit_binary_expr(self, expr: m.BinaryExpr):
self._write_line("BinaryExpr")
with self._child_level():
self._write_line("left")
with self._child_level(single=True):
expr.left.accept(self)
self._write_line(f"operator: {expr.operator.lexeme}")
self._write_line("right", last=True)
with self._child_level(single=True):
expr.right.accept(self)
def visit_unary_expr(self, expr: m.UnaryExpr):
self._write_line("UnaryExpr")
with self._child_level():
self._write_line(f"operator: {expr.operator.lexeme}")
self._write_line("right", last=True)
with self._child_level(single=True):
expr.right.accept(self)
def visit_call_expr(self, expr: m.CallExpr) -> None:
self._write_line("CallExpr")
with self._child_level():
self._write_line("callee")
with self._child_level(single=True):
expr.callee.accept(self)
self._write_sequence("arguments", expr.arguments)
self._write_line("keywords", last=True)
with self._child_level():
for i, (name, arg) in enumerate(expr.keywords.items()):
self._idx = i
if i == len(expr.keywords) - 1:
self._mark_last()
self._write_line(name)
with self._child_level(single=True):
arg.accept(self)
def visit_get_expr(self, expr: m.GetExpr):
self._write_line("GetExpr")
with self._child_level():
self._write_line("expr")
with self._child_level(single=True):
expr.expr.accept(self)
self._write_line(f'name: "{expr.name.lexeme}"', last=True)
def visit_variable_expr(self, expr: m.VariableExpr):
self._write_line("VariableExpr")
with self._child_level():
self._write_line(f'name: "{expr.name.lexeme}"', last=True)
def visit_grouping_expr(self, expr: m.GroupingExpr):
self._write_line("GroupingExpr")
with self._child_level():
self._write_line("expr", last=True)
with self._child_level(single=True):
expr.expr.accept(self)
def visit_literal_expr(self, expr: m.LiteralExpr) -> None:
self._write_line("LiteralExpr")
with self._child_level():
self._write_line(f"value: {expr.value}", last=True)
def visit_wildcard_expr(self, expr: m.WildcardExpr) -> None:
self._write_line("WildcardExpr")
# Types
def visit_named_type(self, type: m.NamedType) -> None:
self._write_line("NamedType")
with self._child_level():
self._write_line(f'name: "{type.name.lexeme}"', last=True)
def visit_generic_type(self, type: m.GenericType) -> None:
self._write_line("GenericType")
with self._child_level():
self._write_line("type")
with self._child_level():
type.type.accept(self)
self._write_sequence("args", type.args, last=True)
def visit_constraint_type(self, type: m.ConstraintType) -> None:
self._write_line("ConstraintType")
with self._child_level():
self._write_line("type")
with self._child_level(single=True):
type.type.accept(self)
self._write_line("constraint", last=True)
with self._child_level(single=True):
type.constraint.accept(self)
def visit_complex_type(self, type: m.ComplexType) -> None:
self._write_line("ComplexType")
with self._child_level():
self._write_sequence("members", type.members, last=True)
def visit_extension_type(self, type: m.ExtensionType) -> None:
self._write_line("ExtensionType")
with self._child_level():
self._write_line("base")
with self._child_level(single=True):
type.base.accept(self)
self._write_line("extension", last=True)
with self._child_level(single=True):
type.extension.accept(self)
def visit_function_type(self, type: m.FunctionType) -> None:
self._write_line("FunctionType")
with self._child_level():
self._write_line("params")
with self._child_level(single=True):
self._visit_param_spec(type.params)
self._write_line("returns", last=True)
with self._child_level(single=True):
type.returns.accept(self)
def _visit_param_spec(self, spec: m.ParamSpec) -> None:
self._write_line("ParamSpec")
with self._child_level():
self._write_sequence(
"pos",
spec.pos,
print_func=self._print_param,
)
self._write_sequence(
"mixed",
spec.mixed,
print_func=self._print_param,
)
self._write_sequence(
"kw",
spec.kw,
print_func=self._print_param,
last=True,
)
def _print_param(self, param: m.FunctionType.Parameter) -> None:
self._write_line("Parameter")
with self._child_level():
name: str = "None"
if param.name is not None:
name = f'"{param.name.lexeme}"'
self._write_line(f"name: {name}")
self._write_line("type")
with self._child_level(single=True):
param.type.accept(self)
self._write_line(f"required: {param.required}", last=True)
def visit_frame_type(self, type: m.FrameType) -> None:
self._write_line("FrameType")
with self._child_level(single=True):
self._write_sequence(
"columns",
type.columns,
print_func=self._print_frame_column,
)
def _print_frame_column(self, column: m.FrameType.Column) -> None:
self._write_line("Column")
with self._child_level():
self._write_line(f'name: "{column.name.lexeme}"')
self._write_line("type")
with self._child_level(single=True):
column.type.accept(self)

View File

@@ -0,0 +1,285 @@
import ast
import midas.ast.python as p
from midas.ast.printer.base import AstPrinter
class PythonAstPrinter(
AstPrinter,
p.MidasType.Visitor[None],
p.Stmt.Visitor[None],
p.Expr.Visitor[None],
):
# Types
def visit_base_type(self, node: p.BaseType) -> None:
self._write_line("BaseType")
with self._child_level():
self._write_line(f"base: {node.base}")
self._write_sequence("args", node.args, last=True)
def visit_constraint_type(self, node: p.ConstraintType) -> None:
self._write_line("ConstraintType")
with self._child_level():
self._write_line("type")
with self._child_level(single=True):
node.type.accept(self)
self._write_line(f"constraint: {ast.unparse(node.constraint)}", last=True)
def visit_frame_column(self, node: p.FrameColumn) -> None:
self._write_line("FrameColumn")
with self._child_level():
self._write_line(f"name: {node.name}")
self._write_optional_child("type", node.type, last=True)
def visit_frame_type(self, node: p.FrameType) -> None:
self._write_line("FrameType")
with self._child_level(single=True):
self._write_sequence("columns", node.columns)
# Statements
def visit_expression_stmt(self, stmt: p.ExpressionStmt) -> None:
stmt.expr.accept(self)
def visit_function(self, stmt: p.Function) -> None:
self._write_line("Function")
with self._child_level():
self._write_line(f"name: {stmt.name}")
self._write_line("params")
with self._child_level():
self._print_param_spec(stmt.params)
self._write_optional_child("returns", stmt.returns)
self._write_sequence("body", stmt.body, last=True)
def _print_param_spec(self, spec: p.ParamSpec) -> None:
self._write_line("ParamSpec")
with self._child_level():
self._write_sequence(
"pos",
spec.pos,
print_func=self._print_param,
)
self._write_sequence(
"mixed",
spec.mixed,
print_func=self._print_param,
)
self._write_sequence(
"kw",
spec.kw,
print_func=self._print_param,
last=True,
)
def _print_param(self, param: p.Function.Parameter) -> None:
self._write_line("Parameter")
with self._child_level():
self._write_line(f"name: {param.name}")
self._write_optional_child("type", param.type, last=True)
def visit_type_assign(self, stmt: p.TypeAssign) -> None:
self._write_line("TypeAssign")
with self._child_level():
self._write_line(f"name: {stmt.name}")
self._write_line("type", last=True)
with self._child_level(single=True):
stmt.type.accept(self)
def visit_assign_stmt(self, stmt: p.AssignStmt) -> None:
self._write_line("AssignStmt")
with self._child_level():
self._write_sequence("targets", stmt.targets)
self._write_line("value", last=True)
with self._child_level(single=True):
stmt.value.accept(self)
def visit_return_stmt(self, stmt: p.ReturnStmt) -> None:
self._write_line("ReturnStmt")
with self._child_level():
self._write_optional_child("value", stmt.value, last=True)
def visit_if_stmt(self, stmt: p.IfStmt) -> None:
self._write_line("IfStmt")
with self._child_level():
self._write_line("test")
with self._child_level(single=True):
stmt.test.accept(self)
self._write_sequence("body", stmt.body)
self._write_sequence("orelse", stmt.orelse, last=True)
def visit_pass(self, stmt: p.Pass) -> None:
self._write_line("Pass")
def visit_for_stmt(self, stmt: p.ForStmt) -> None:
self._write_line("ForStmt")
with self._child_level():
self._write_line("target")
with self._child_level(single=True):
stmt.target.accept(self)
self._write_line("iterator")
with self._child_level(single=True):
stmt.iterator.accept(self)
self._write_sequence("body", stmt.body, last=True)
def visit_raw_stmt(self, stmt: p.RawStmt) -> None:
self._write_line("RawStmt")
with self._child_level(single=True):
self._write_line(f"stmt: {ast.unparse(stmt.stmt)}")
# Expressions
def visit_binary_expr(self, expr: p.BinaryExpr) -> None:
self._write_line("BinaryExpr")
with self._child_level():
self._write_line("left")
with self._child_level(single=True):
expr.left.accept(self)
self._write_line(f"operator: {expr.operator.__class__.__name__}")
self._write_line("right", last=True)
with self._child_level(single=True):
expr.right.accept(self)
def visit_compare_expr(self, expr: p.CompareExpr) -> None:
self._write_line("CompareExpr")
with self._child_level():
self._write_line("left")
with self._child_level(single=True):
expr.left.accept(self)
self._write_line(f"operator: {expr.operator.__class__.__name__}")
self._write_line("right", last=True)
with self._child_level(single=True):
expr.right.accept(self)
def visit_unary_expr(self, expr: p.UnaryExpr) -> None:
self._write_line("UnaryExpr")
with self._child_level():
self._write_line(f"operator: {expr.operator.__class__.__name__}")
self._write_line("right", last=True)
with self._child_level(single=True):
expr.right.accept(self)
def visit_call_expr(self, expr: p.CallExpr) -> None:
self._write_line("CallExpr")
with self._child_level():
self._write_line("callee")
with self._child_level(single=True):
expr.callee.accept(self)
self._write_sequence("arguments", expr.arguments)
self._write_line("keywords", last=True)
with self._child_level():
for i, (name, arg) in enumerate(expr.keywords.items()):
self._idx = i
if i == len(expr.keywords) - 1:
self._mark_last()
self._write_line(name)
with self._child_level(single=True):
arg.accept(self)
def visit_get_expr(self, expr: p.GetExpr) -> None:
self._write_line("GetExpr")
with self._child_level():
self._write_line("object")
with self._child_level(single=True):
expr.object.accept(self)
self._write_line(f"name: {expr.name}", last=True)
def visit_literal_expr(self, expr: p.LiteralExpr) -> None:
self._write_line("LiteralExpr")
with self._child_level(single=True):
self._write_line(f"value: {expr.value!r}")
def visit_variable_expr(self, expr: p.VariableExpr) -> None:
self._write_line("VariableExpr")
with self._child_level(single=True):
self._write_line(f"name: {expr.name}")
def visit_logical_expr(self, expr: p.LogicalExpr) -> None:
self._write_line("LogicalExpr")
with self._child_level():
self._write_line("left")
with self._child_level(single=True):
expr.left.accept(self)
self._write_line(f"operator: {expr.operator.__class__.__name__}")
self._write_line("right", last=True)
with self._child_level(single=True):
expr.right.accept(self)
def visit_cast_expr(self, expr: p.CastExpr) -> None:
self._write_line("CastExpr")
with self._child_level():
self._write_line("type")
with self._child_level(single=True):
expr.type.accept(self)
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")
with self._child_level():
self._write_line("test")
with self._child_level(single=True):
expr.test.accept(self)
self._write_line("if_true")
with self._child_level(single=True):
expr.if_true.accept(self)
self._write_line("if_false", last=True)
with self._child_level(single=True):
expr.if_false.accept(self)
def visit_list_expr(self, expr: p.ListExpr) -> None:
self._write_line("ListExpr")
with self._child_level():
self._write_sequence("items", expr.items, last=True)
def visit_dict_expr(self, expr: p.DictExpr) -> None:
self._write_line("DictExpr")
with self._child_level():
self._write_sequence(
"keys",
expr.keys,
print_func=lambda k: (
self._write_line("None") if k is None else k.accept(self)
),
)
self._write_sequence("values", expr.values, last=True)
def visit_subscript_expr(self, expr: p.SubscriptExpr) -> None:
self._write_line("SubscriptExpr")
with self._child_level():
self._write_line("object")
with self._child_level(single=True):
expr.object.accept(self)
self._write_line("index", last=True)
with self._child_level(single=True):
expr.index.accept(self)
def visit_slice_expr(self, expr: p.SliceExpr) -> None:
self._write_line("SliceExpr")
with self._child_level():
self._write_optional_child("lower", expr.lower)
self._write_optional_child("upper", expr.upper)
self._write_optional_child("step", expr.step, last=True)
def visit_tuple_expr(self, expr: p.TupleExpr) -> None:
self._write_line("TupleExpr")
with self._child_level():
self._write_sequence("items", expr.items, last=True)
def visit_raw_expr(self, expr: p.RawExpr) -> None:
self._write_line("RawExpr")
with self._child_level(single=True):
self._write_line(f"expr: {ast.unparse(expr.expr)}")

View File

@@ -14,6 +14,27 @@ from midas.ast.location import Location
T = TypeVar("T")
@dataclass(frozen=True, kw_only=True)
class ParamSpec:
pos: list[Function.Parameter]
mixed: list[Function.Parameter]
kw: list[Function.Parameter]
@property
def all(self) -> list[Function.Parameter]:
return self.pos + self.mixed + self.kw
@dataclass(frozen=True, kw_only=True)
class ImportAlias:
location: Location
name: str
alias: Optional[str] = None
@property
def imported_name(self) -> str:
return self.alias if self.alias is not None else self.name
####################
# Type annotations #
@@ -44,7 +65,7 @@ class MidasType(ABC):
@dataclass(frozen=True)
class BaseType(MidasType):
base: str
param: Optional[MidasType]
args: tuple[MidasType, ...]
def accept(self, visitor: MidasType.Visitor[T]) -> T:
return visitor.visit_base_type(self)
@@ -113,6 +134,12 @@ class Stmt(ABC):
@abstractmethod
def visit_for_stmt(self, stmt: ForStmt) -> T: ...
@abstractmethod
def visit_import_stmt(self, stmt: ImportStmt) -> T: ...
@abstractmethod
def visit_from_import_stmt(self, stmt: FromImportStmt) -> T: ...
@abstractmethod
def visit_raw_stmt(self, stmt: RawStmt) -> T: ...
@@ -128,25 +155,17 @@ class ExpressionStmt(Stmt):
@dataclass(frozen=True)
class Function(Stmt):
name: str
posonlyargs: list[Argument]
args: list[Argument]
sink: Optional[Argument]
kwonlyargs: list[Argument]
kw_sink: Optional[Argument]
params: ParamSpec
returns: Optional[MidasType]
body: list[Stmt]
@dataclass(frozen=True, kw_only=True)
class Argument:
class Parameter:
location: Optional[Location] = None
name: str
type: Optional[MidasType]
default: Optional[Expr]
@property
def all_args(self) -> list[Argument]:
return self.posonlyargs + self.args + self.kwonlyargs
def accept(self, visitor: Stmt.Visitor[T]) -> T:
return visitor.visit_function(self)
@@ -205,6 +224,24 @@ class ForStmt(Stmt):
return visitor.visit_for_stmt(self)
@dataclass(frozen=True)
class ImportStmt(Stmt):
imports: list[ImportAlias]
def accept(self, visitor: Stmt.Visitor[T]) -> T:
return visitor.visit_import_stmt(self)
@dataclass(frozen=True)
class FromImportStmt(Stmt):
module: Optional[str]
imports: list[ImportAlias]
level: int
def accept(self, visitor: Stmt.Visitor[T]) -> T:
return visitor.visit_from_import_stmt(self)
@dataclass(frozen=True)
class RawStmt(Stmt):
stmt: ast.stmt
@@ -268,6 +305,9 @@ class Expr(ABC):
@abstractmethod
def visit_slice_expr(self, expr: SliceExpr) -> T: ...
@abstractmethod
def visit_tuple_expr(self, expr: TupleExpr) -> T: ...
@abstractmethod
def visit_raw_expr(self, expr: RawExpr) -> T: ...
@@ -402,6 +442,14 @@ class SliceExpr(Expr):
return visitor.visit_slice_expr(self)
@dataclass(frozen=True)
class TupleExpr(Expr):
items: tuple[Expr, ...]
def accept(self, visitor: Expr.Visitor[T]) -> T:
return visitor.visit_tuple_expr(self)
@dataclass(frozen=True)
class RawExpr(Expr):
expr: ast.expr

View File

@@ -178,4 +178,100 @@ extend dict[K, V] {
// def __ior__: fn(value: SupportsKeysAndGetItem[K, V], /) -> dict[K, V]
// def __ior__: fn(value: Iterable[tuple[K, V]], /) -> dict[K, V]
}
}
extend str {
def capitalize: fn() -> str
def casefold: fn() -> str
def center: fn(width: int, fillchar: str?, /) -> str
def count: fn(sub: str, start: None?, end: None?, /) -> int
def count: fn(sub: str, start: int, end: None?, /) -> int
def count: fn(sub: str, start: None, end: int, /) -> int
def count: fn(sub: str, start: int, end: int, /) -> int
def encode: fn(encoding: str?, errors: str?) -> bytes
def endswith: fn(suffix: str, start: None?, end: None?, /) -> bool
def endswith: fn(suffix: str, start: int, end: None?, /) -> bool
def endswith: fn(suffix: str, start: None, end: int, /) -> bool
def endswith: fn(suffix: str, start: int, end: int, /) -> bool
def expandtabs: fn(tabsize: int?) -> str
def find: fn(sub: str, start: None?, end: None?, /) -> int
def find: fn(sub: str, start: int, end: None?, /) -> int
def find: fn(sub: str, start: None, end: int, /) -> int
def find: fn(sub: str, start: int, end: int, /) -> int
// def format: fn(*args: object, **kwargs: object) -> str
// def format_map: fn(mapping: _FormatMapMapping, /) -> str
def index: fn(sub: str, start: None?, end: None?, /) -> int
def index: fn(sub: str, start: int, end: None?, /) -> int
def index: fn(sub: str, start: None, end: int, /) -> int
def index: fn(sub: str, start: int, end: int, /) -> int
def isalnum: fn() -> bool
def isalpha: fn() -> bool
def isascii: fn() -> bool
def isdecimal: fn() -> bool
def isdigit: fn() -> bool
def isidentifier: fn() -> bool
def islower: fn() -> bool
def isnumeric: fn() -> bool
def isprintable: fn() -> bool
def isspace: fn() -> bool
def istitle: fn() -> bool
def isupper: fn() -> bool
def join: fn(iterable: list[str], /) -> str // TODO: use Iterable
def ljust: fn(width: int, fillchar: str?, /) -> str
def lower: fn() -> str
def lstrip: fn(chars: None?, /) -> str
def lstrip: fn(chars: str, /) -> str
def partition: fn(sep: str, /) -> tuple[str, str, str]
def replace: fn(old: str, new: str, count: int?, /) -> str
def removeprefix: fn(prefix: str, /) -> str
def removesuffix: fn(suffix: str, /) -> str
def rfind: fn(sub: str, start: None?, end: None?, /) -> int
def rfind: fn(sub: str, start: int, end: None?, /) -> int
def rfind: fn(sub: str, start: None, end: int, /) -> int
def rfind: fn(sub: str, start: int, end: int, /) -> int
def rindex: fn(sub: str, start: None?, end: None?, /) -> int
def rindex: fn(sub: str, start: int, end: None?, /) -> int
def rindex: fn(sub: str, start: None, end: int, /) -> int
def rindex: fn(sub: str, start: int, end: int, /) -> int
def rjust: fn(width: int, fillchar: str?, /) -> str
def rpartition: fn(sep: str, /) -> tuple[str, str, str]
def rsplit: fn(sep: None?, maxsplit: int?) -> list[str]
def rsplit: fn(sep: str, maxsplit: int?) -> list[str]
def rstrip: fn(chars: None?, /) -> str
def rstrip: fn(chars: str, /) -> str
def split: fn(sep: None?, maxsplit: int?) -> list[str]
def split: fn(sep: str, maxsplit: int?) -> list[str]
def splitlines: fn(keepends: bool?) -> list[str]
def startswith: fn(prefix: str, start: None?, end: None?, /) -> bool
def startswith: fn(prefix: str, start: int, end: None?, /) -> bool
def startswith: fn(prefix: str, start: None, end: int, /) -> bool
def startswith: fn(prefix: str, start: int, end: int, /) -> bool
def strip: fn(chars: None?, /) -> str
def strip: fn(chars: str, /) -> str
def swapcase: fn() -> str
def title: fn() -> str
// def translate: fn(table: _TranslateTable, /) -> str
def upper: fn() -> str
def zfill: fn(width: int, /) -> str
def __add__: fn(value: str, /) -> str
// Incompatible with Sequence.__contains__
def __contains__: fn(key: str, /) -> bool
def __eq__: fn(value: object, /) -> bool
def __ge__: fn(value: str, /) -> bool
def __getitem__: fn(key: slice, /) -> str
def __getitem__: fn(key: int, /) -> str
def __gt__: fn(value: str, /) -> bool
def __hash__: fn() -> int
// def __iter__: fn() -> Iterator[str]
def __le__: fn(value: str, /) -> bool
def __len__: fn() -> int
def __lt__: fn(value: str, /) -> bool
def __mod__: fn(value: Any, /) -> str
def __mul__: fn(value: int, /) -> str
def __ne__: fn(value: object, /) -> bool
def __rmul__: fn(value: int, /) -> str
def __getnewargs__: fn() -> tuple[str]
def __format__: fn(format_spec: str, /) -> str
}

View File

@@ -15,10 +15,14 @@ if TYPE_CHECKING:
BUILTIN_SUBTYPES: dict[str, set[str]] = {
"object": {"float", "list", "dict", "str"},
"object": {"float", "list", "dict", "str", "bytes", "tuple"},
"float": {"int"},
"int": {"bool"},
}
"""
Hard-coded subtype relationships between builtin types
Circular dependencies and diamond inheritance MUST be avoided
"""
def define_builtins(reg: TypesRegistry):
@@ -26,12 +30,15 @@ def define_builtins(reg: TypesRegistry):
any = reg.define_type("Any", TopType())
unit = reg.define_type("None", UnitType())
object = reg.define_type("object", BaseType(name="object"))
bytes = reg.define_type("bytes", BaseType(name="bytes"))
bool = reg.define_type("bool", BaseType(name="bool"))
int = reg.define_type("int", BaseType(name="int"))
float = reg.define_type("float", BaseType(name="float"))
str = reg.define_type("str", BaseType(name="str"))
slice = reg.define_type("slice", BaseType(name="slice"))
tuple = reg.define_type("tuple", BaseType(name="tuple"))
list = reg.define_type(
"list",
GenericType(

View File

@@ -10,6 +10,11 @@ from midas.utils import TypedAST
class TypeChecker:
"""Type checking dispatcher
Contains a typer for Midas and one for Python, as well as the types registry
"""
def __init__(self):
self.types: TypesRegistry = TypesRegistry()
self.reporter: Reporter = Reporter()

View File

@@ -14,6 +14,12 @@ class DiagnosticType(StrEnum):
@dataclass(frozen=True)
class Diagnostic:
"""Information about a diagnostic (warning, errors, etc.)
Holds a location, a diagnostic type and a message.
Optionally bound to a file path
"""
file_path: Optional[str]
location: Location
type: DiagnosticType
@@ -21,6 +27,18 @@ class Diagnostic:
@property
def location_str(self) -> str:
"""Get diagnostic type and location as a human readable string
The location is formatted as "<Type> in <file> from L<start_line>:<start_col> to <end_line>:<end_col>",
for example: "Error in /home/user/Desktop/script.py from L12:5 to L12:8"
If the file is `None`, the "in ..." section is excluded from the result.<br>
If the location's end is not specified, the formulation "at L<start_line>:<start_col>" is used.
Returns:
str: the formatted type and location string
"""
start_loc: str = f"L{self.location.lineno}:{self.location.col_offset+1}"
end_loc: Optional[str] = ""
if (

532
midas/checker/dispatcher.py Normal file
View File

@@ -0,0 +1,532 @@
import logging
from dataclasses import dataclass
from enum import StrEnum
from typing import Generic, Optional, Protocol, TypeVar, Union
from midas.ast.location import Location
from midas.checker.registry import TypesRegistry
from midas.checker.reporter import FileReporter
from midas.checker.types import (
AppliedType,
DerivedType,
Function,
GenericType,
OverloadedFunction,
Type,
UnknownType,
)
from midas.checker.unifier import Unifier
class HasLocation(Protocol):
@property
def location(self) -> Location: ...
E = TypeVar("E", bound=HasLocation)
TypedExpr = tuple[E, Type]
"""An expression and its type"""
@dataclass(frozen=True, kw_only=True)
class MappedArgument(Generic[E]):
"""An argument passed in a call and the corresponding parameter"""
arg_expr: E
arg_type: Type
parameter: Function.Parameter
@dataclass(frozen=True, kw_only=True)
class OverloadCandidate:
"""An overloaded function call candidate with its mapped arguments"""
function: Function
mapped: list[MappedArgument]
class CallError(StrEnum):
"""Reason of a call error"""
INVALID_ARGS = "Invalid arguments"
NO_MATCHING_OVERLOAD = "No matching overload"
IMPOSSIBLE_UNIFICATION = "Parameters unification failed"
NOT_CALLABLE = "Not callable"
@dataclass(frozen=True, kw_only=True)
class CallResult:
"""The result of a function call
Holds a return type, an optional error reason and message
"""
error: Optional[CallError] = None
"""The reason of the error, if there is one"""
result: Type = UnknownType()
"""The result type. `UnknownType()` if the call is invalid"""
message: Optional[str] = None
"""An optional error message"""
@property
def is_valid(self) -> bool:
"""Whether the call is valid (i.e. no error)"""
return self.error is None
@property
def error_message(self) -> str:
"""A descriptive message for the error, if there is one"""
if self.message is not None:
return self.message
if self.error is not None:
return str(self.error)
return ""
class CallDispatcher(Generic[E]):
"""Helper class to handle dispatching calls and mapping arguments
This class is responsible for mapping call-site arguments to function
parameters, verifying the validity of calls and computing their
return types
:class:`CallDispatcher` is generic to handle AST nodes from both Midas and Python
"""
def __init__(self, types: TypesRegistry, reporter: FileReporter) -> None:
self.types: TypesRegistry = types
self.reporter: FileReporter = reporter
self.logger: logging.Logger = logging.getLogger("CallDispatcher")
def set_reporter(self, reporter: FileReporter):
self.reporter = reporter
def get_result(
self,
location: Location,
callee: Type,
positional: list[TypedExpr[E]],
keywords: dict[str, TypedExpr[E]],
report_errors: bool = True,
) -> CallResult:
"""Get the result type of a function call
If the callee has overloads, this function will try to resolve the
appropriate signature.
Argument types are matched with the defined parameters.
This function doesn't take the raw expression as a parameter to
accommodate for desugared calls such as for operators.
Args:
location (Location): the call location
callee (Type): the called function
positional (list[TypedExpr]): the list of positional arguments
keywords (dict[str, TypedExpr]): the map of keyword arguments
report_errors (bool, optional): whether type errors should be reported as diagnostics. Defaults to True.
Returns:
CallResult: the call result, either a type or an error
"""
match callee:
case Function() as function:
valid: bool
mapped: list[MappedArgument[E]]
valid, mapped = self.map_call_arguments(
function, location, positional, keywords
)
valid = valid and self._are_arguments_valid(mapped, report_errors)
if not valid:
return CallResult(error=CallError.INVALID_ARGS)
return CallResult(result=function.returns)
case OverloadedFunction(overloads=overloads):
res = self._match_overload(
overloads, location, positional, keywords, report_errors
)
if res[0] is None:
return CallResult(
error=CallError.NO_MATCHING_OVERLOAD,
message=res[1],
)
return CallResult(result=res[0].returns)
case AppliedType(body=body):
return self.get_result(
location, body, positional, keywords, report_errors
)
case UnknownType():
return CallResult(result=UnknownType())
case DerivedType(type=base):
return self.get_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:
pos_str: str = ", ".join(str(t) for t in pos)
kw_str: str = ", ".join(f"{k}: {v}" for k, v in kw.items())
message: str = (
f"Could not unify {callee}={callee.body} with pos=[{pos_str}] and kw={{{kw_str}}}"
)
if report_errors:
self.reporter.error(location, message)
return CallResult(
error=CallError.IMPOSSIBLE_UNIFICATION,
message=message,
)
return self.get_result(
location,
unified,
positional,
keywords,
report_errors,
)
case _:
message: str = f"{callee} ({callee.__class__.__name__}) is not callable"
if report_errors:
self.reporter.error(location, message)
return CallResult(
error=CallError.NOT_CALLABLE,
message=message,
)
def _unwrap_function(
self,
callee: Type,
positional: list[TypedExpr[E]],
keywords: dict[str, TypedExpr[E]],
) -> Union[tuple[Function, None], tuple[None, CallError]]:
"""Unwrap a type to get a callable `Function`
Args:
callee (Type): the called type
positional (list[TypedExpr[E]]): the list of positional arguments
keywords (dict[str, TypedExpr[E]]): the map of keyword arguments
Returns:
Union[tuple[Function, None], tuple[None, CallError]]: a tuple
containing the callable `Function` type, or `None` if it could
not be unwrapped, and an error, or `None` if there was none.
"""
match callee:
case DerivedType(type=base):
return self._unwrap_function(base, positional, keywords)
case GenericType():
unifier: Unifier = Unifier(self.types)
unified: Optional[Type] = unifier.unify_call(
callee,
[a[1] for a in positional],
{k: v[1] for k, v in keywords.items()},
)
if unified is None:
return None, CallError.IMPOSSIBLE_UNIFICATION
return self._unwrap_function(unified, positional, keywords)
case Function():
return callee, None
case AppliedType(body=body):
return self._unwrap_function(body, positional, keywords)
case _:
return None, CallError.NOT_CALLABLE
def _are_arguments_valid(
self,
arguments: list[MappedArgument[E]],
report_errors: bool = True,
) -> bool:
"""Check whether the passed argument types correspond to their matched parameter definitions
Args:
arguments (list[MappedArgument]): the list of argument/parameter pairs
report_errors (bool, optional): whether type errors should be reported as diagnostics. Defaults to True.
Returns:
bool: True if all arguments fit the matching parameter definitions, False otherwise
"""
valid: bool = True
for arg in arguments:
if arg.parameter.unsupported:
# Always report error
self.reporter.error(
arg.arg_expr.location, f"Unsupported argument {arg.parameter.name}"
)
if not self.types.is_subtype(arg.arg_type, arg.parameter.type):
if report_errors:
self.reporter.error(
arg.arg_expr.location,
f"Wrong type for argument '{arg.parameter.name}', expected {arg.parameter.type}, got {arg.arg_type}",
)
valid = False
return valid
def _match_overload(
self,
overloads: list[Type],
location: Location,
positional: list[TypedExpr[E]],
keywords: dict[str, TypedExpr[E]],
report_errors: bool = True,
) -> Union[tuple[Function, None], tuple[None, str]]:
"""Try and resolve the appropriate overload for the given arguments
Args:
overloads (list[Type]): the list of possible overloads
location (Location): the call location
positional (list[TypedExpr]): the list of positional arguments
keywords (dict[str, TypedExpr]): the map of keywords arguments
report_errors (bool, optional): whether type errors should be reported as diagnostics. Defaults to True.
Returns:
Union[tuple[Function, None], tuple[None, str]]: a tuple containing
the resolved function signature if it can be determined
unambiguously, or `None`, and an error message, or `None`
"""
candidates: list[OverloadCandidate] = []
errors: list[CallError] = []
for overload in overloads:
function, unwrap_error = self._unwrap_function(
overload, positional, keywords
)
if function is None:
errors.append(unwrap_error) # type: ignore
continue
valid, mapped = self.map_call_arguments(
function=function,
location=location,
positional=positional,
keywords=keywords,
report_errors=False,
)
if valid and self._are_arguments_valid(mapped, report_errors=False):
candidates.append(
OverloadCandidate(
function=function,
mapped=mapped,
)
)
pos_types: str = ", ".join(str(type) for _, type in positional)
kw_types: str = ", ".join(
f"{name}: {type}" for name, (_, type) in keywords.items()
)
for_args: str = f"for arguments pos=[{pos_types}] and kw={{{kw_types}}}"
n_candidates: int = len(candidates)
# Exactly 1 match -> return it
if n_candidates == 1:
return candidates[0].function, None
# No match -> invalid call
if n_candidates == 0:
overloads_str: str = ", ".join(map(str, overloads))
errors_str: str = ", ".join(errors)
message: str = (
f"No matching overload in [{overloads_str}] {for_args} (errors: {errors_str})"
)
if report_errors:
self.reporter.error(location, message)
return None, message
# Multiple matches -> see if one <: all others (more specific)
for i1, c1 in enumerate(candidates):
mapped1: list[MappedArgument[E]] = c1.mapped
best_match: bool = True
for i2, c2 in enumerate(candidates):
if i1 == i2:
continue
mapped2: list[MappedArgument[E]] = c2.mapped
if not self._are_mapped_subtypes(mapped1, mapped2):
best_match = False
break
self.logger.debug(f"{c1.function} is a full overload of {c2.function}")
if best_match:
return c1.function, None
candidates_str: str = ", ".join(
str(candidate.function) for candidate in candidates
)
message: str = f"Multiple matching overloads {for_args}: {candidates_str}"
if report_errors:
self.reporter.error(location, message)
return None, message
def map_call_arguments(
self,
function: Function,
location: Location,
positional: list[TypedExpr[E]],
keywords: dict[str, TypedExpr[E]],
report_errors: bool = True,
) -> tuple[bool, list[MappedArgument]]:
"""Map call arguments to a function's parameters as defined in its signature
This method maps positional-only, keyword-only and mixed parameter definitions
with the arguments passed at the call site
Any mismatched, missing or unexpected argument is reported as a diagnostic,
unless `report_errors` is set to `False`
Args:
function (Function): the function definition
location (Location): the call location
positional (list[TypedExpr]): the list of positional arguments
keywords (dict[str, TypedExpr]): the map of keyword arguments
report_errors (bool, optional): whether type errors should be reported as diagnostics. Defaults to True.
Returns:
tuple[bool, list[MappedArgument]]: a boolean reporting whether
the call is valid and the list of mapped arguments
"""
set_params: set[str] = set()
required_positional: list[str] = [
param.name
for param in function.params.pos + function.params.mixed
if param.required
]
required_keyword: list[str] = [
param.name for param in function.params.kw if param.required
]
mapped: list[MappedArgument[E]] = []
pos_params: list[Function.Parameter] = list(function.params.pos)
mixed_params: list[Function.Parameter] = list(function.params.mixed)
kw_params: dict[str, Function.Parameter] = {
param.name: param for param in function.params.kw
}
valid_call: bool = True
# TODO: handle *args and **kwargs sinks
for arg in positional:
param: Function.Parameter
if len(pos_params) != 0:
param = pos_params.pop(0)
elif len(mixed_params) != 0:
param = mixed_params.pop(0)
else:
if report_errors:
self.reporter.error(
arg[0].location, "Too many positional arguments"
)
valid_call = False
break
name: str = param.name
if name in required_positional:
required_positional.remove(name)
if name in required_keyword:
required_keyword.remove(name)
set_params.add(name)
mapped.append(
MappedArgument(
arg_expr=arg[0],
arg_type=arg[1],
parameter=param,
)
)
kw_params.update({param.name: param for param in mixed_params})
for name, arg in keywords.items():
param: Function.Parameter
if name not in kw_params:
if report_errors:
if name in set_params:
self.reporter.error(
arg[0].location, f"Multiple values for parameter '{name}'"
)
else:
self.reporter.error(
arg[0].location, f"Unknown keyword parameter '{name}'"
)
valid_call = False
continue
param = kw_params.pop(name)
if name in required_positional:
required_positional.remove(name)
if name in required_keyword:
required_keyword.remove(name)
set_params.add(name)
mapped.append(
MappedArgument(
arg_expr=arg[0],
arg_type=arg[1],
parameter=param,
)
)
def join_params(params: list[str]) -> str:
params = list(map(lambda p: f"'{p}'", params))
if len(params) == 0:
return ""
if len(params) == 1:
return params[0]
return ", ".join(params[:-1]) + " and " + params[-1]
if len(required_positional) != 0:
plural: str = "" if len(required_positional) == 1 else "s"
params: str = join_params(required_positional)
if report_errors:
self.reporter.error(
location,
f"Missing required positional argument{plural}: {params}",
)
valid_call = False
if len(required_keyword) != 0:
plural: str = "" if len(required_keyword) == 1 else "s"
params: str = join_params(required_keyword)
if report_errors:
self.reporter.error(
location,
f"Missing required keyword argument{plural}: {params}",
)
valid_call = False
return valid_call, mapped
def _are_mapped_subtypes(
self, mapped1: list[MappedArgument[E]], mapped2: list[MappedArgument[E]]
) -> bool:
"""Check whether the given argument mappings are subtype/supertype of one another
This function checks whether the argument mappings `mapped1` are subtypes
of `mapped2`. If any of the parameter type in `mapped1` is not a subtype
of the corresponding parameter in `mapped2`, `False` is returned.
This is used to check whether a given overload is a more specific
function / a subtype of another.
Args:
mapped1 (list[MappedArgument]): the first argument mappings (subtype)
mapped2 (list[MappedArgument]): the second argument mappings (supertype)
Returns:
bool: `True` if `mapped1` is a subtype of `mapped2`, `False` otherwise
"""
by_expr: dict[E, Type] = {}
for arg in mapped1:
by_expr[arg.arg_expr] = arg.parameter.type
for arg in mapped2:
type2: Type = arg.parameter.type
type1: Type = by_expr[arg.arg_expr]
if not self.types.is_subtype(type1, type2):
return False
return True

View File

@@ -2,6 +2,7 @@ from dataclasses import dataclass
from typing import Any, Callable, Optional
import midas.ast.midas as m
from midas.ast.location import Location
from midas.checker.preamble import Preamble
from midas.checker.registry import TypesRegistry
from midas.checker.reporter import FileReporter
@@ -11,10 +12,18 @@ from midas.lexer.token import TokenType
@dataclass(frozen=True, kw_only=True)
class PartialPredicate(Predicate):
"""A partially applied predicate"""
scope: dict[str, Any]
"""A dictionary of already applied parameters"""
class Evaluator(m.Expr.Visitor[Any]):
"""Helper class to evaluate an expression
This class is used to evaluate constraint types on literals at compile-time.
"""
def __init__(self, types: TypesRegistry, reporter: Optional[FileReporter] = None):
self.types: TypesRegistry = types
self.reporter: Optional[FileReporter] = reporter
@@ -22,16 +31,51 @@ class Evaluator(m.Expr.Visitor[Any]):
self.scopes: list[dict[str, Any]] = [{}]
def evaluate(self, expr: m.Expr) -> Any:
"""Evaluate the given expression
Args:
expr (m.Expr): the expression to evaluate
Returns:
Any: the value of the expression
"""
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:
"""Get the value of a variable in the current scope
Args:
name (str): the name of the variable
Raises:
KeyError: if the variable is not defined
Returns:
Any: the value of the variable
"""
scope: dict[str, Any] = self.scopes[-1]
return scope[name]
def set_value(self, name: str, value: Any, force_declare: bool = False):
"""Set the value of a variable
If `force_declare` is `False`, this function first tries to find the
closest scope in which the variable is defined and assign the value in
that scope, if it can find one.
If `force_declare` is `True` or if the variable is not defined in any
scope, it is declare and assigned in the current scope
Args:
name (str): the name of the variable
value (Any): the value of the variable
force_declare (bool, optional): if `False` and the variable is
defined in a scope, the value is assigned in that scope (the
closest if there are multiple declarations). Defaults to False.
"""
if not force_declare:
for scope in reversed(self.scopes):
if name in scope:
@@ -56,6 +100,8 @@ class Evaluator(m.Expr.Visitor[Any]):
left: Any = self.evaluate(expr.left)
right: Any = self.evaluate(expr.right)
match expr.operator.type:
case TokenType.PLUS:
return left + right
case TokenType.MINUS:
return left - right
case TokenType.STAR:
@@ -80,8 +126,12 @@ class Evaluator(m.Expr.Visitor[Any]):
def visit_unary_expr(self, expr: m.UnaryExpr) -> Any:
right: Any = self.evaluate(expr.right)
match expr.operator.type:
case TokenType.PLUS:
return +right
case TokenType.MINUS:
return -right
case TokenType.BANG:
return not right
case _:
raise NotImplementedError
@@ -94,7 +144,7 @@ class Evaluator(m.Expr.Visitor[Any]):
match callee:
case Predicate():
return self._evaluate_predicate(callee, args, kwargs)
return self._evaluate_predicate(expr.location, callee, args, kwargs)
case _ if callable(callee):
return callee(*args, **kwargs)
case _:
@@ -131,8 +181,22 @@ class Evaluator(m.Expr.Visitor[Any]):
return self.get_value("_")
def _evaluate_predicate(
self, predicate: Predicate, args: list[Any], kwargs: dict[str, Any]
self,
location: Location,
predicate: Predicate,
args: list[Any],
kwargs: dict[str, Any],
) -> Any:
"""Evaluate a predicate function call
Args:
predicate (Predicate): the predicate to evaluate
args (list[Any]): a list of positional arguments
kwargs (dict[str, Any]): a map of keyword arguments
Returns:
Any: the value returned by the predicate call
"""
res: Any = None
if isinstance(predicate, PartialPredicate):
self.scopes.append(predicate.scope)
@@ -140,7 +204,7 @@ class Evaluator(m.Expr.Visitor[Any]):
self.scopes.append({})
match predicate.type:
case Function(returns=Function() as inner):
self._map_args(predicate.type, args, kwargs)
self._map_args(location, predicate.type, args, kwargs)
res = PartialPredicate(
type=inner,
body=predicate.body,
@@ -149,7 +213,7 @@ class Evaluator(m.Expr.Visitor[Any]):
)
case Function():
self._map_args(predicate.type, args, kwargs)
self._map_args(location, predicate.type, args, kwargs)
res = self.evaluate(predicate.body)
case _:
@@ -157,16 +221,45 @@ class Evaluator(m.Expr.Visitor[Any]):
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
def _map_args(
self,
location: Location,
function: Function,
args: list[Any],
kwargs: dict[str, Any],
):
"""Map call arguments to a function's parameters and set their values in context
Each argument is mapped to a parameter of the function, then its value
is set in the context using :func:`set_value` with the parameter's name
Args:
function (Function): the called function
args (list[Any]): a list of positional arguments
kwargs (dict[str, Any]): a map of keyword arguments
"""
positional: list[Function.Parameter] = (
function.params.pos + function.params.mixed
)
keywords: dict[str, Function.Parameter] = {
param.name: param for param in function.params.mixed + function.params.kw
}
for i, arg in enumerate(args):
param: Function.Argument = positional[i]
if i >= len(positional):
if self.reporter is not None:
self.reporter.error(
location,
f"Too many positional arguments, expected at most {len(positional)}, got {len(args)}",
)
break
param: Function.Parameter = positional[i]
self.set_value(param.name, arg)
for name, arg in kwargs.items():
param: Function.Argument = keywords[name]
if name not in keywords:
if self.reporter is not None:
self.reporter.error(location, f"Unknown keyword argument '{name}'")
break
param: Function.Parameter = keywords[name]
self.set_value(param.name, arg)

View File

@@ -0,0 +1,240 @@
from __future__ import annotations
from dataclasses import dataclass
from typing import TYPE_CHECKING
import midas.ast.python as p
from midas.ast.location import Location
from midas.checker.dispatcher import CallResult
from midas.checker.frames.utils import MethodRegistry, method
from midas.checker.types import (
ColumnGroupBy,
ColumnType,
Function,
ParamSpec,
Type,
UnknownType,
)
if TYPE_CHECKING:
from midas.checker.python import TypedExpr
@dataclass(frozen=True, kw_only=True)
class Call:
"""A column group-by method call, implements :class:`utils.MethodCall`"""
location: Location
call_expr: p.Expr
groupby: ColumnGroupBy
groupby_expr: p.Expr
positional: list[TypedExpr]
keywords: dict[str, TypedExpr]
@property
def subject(self) -> TypedExpr:
return (self.groupby_expr, self.groupby)
class ColumnGroupByMethodRegistry(MethodRegistry[Call]):
"""The method registry for column group-by types"""
NAMED_ARGS: dict[str, str] = {
"numeric_only": "bool",
"skipna": "bool",
"engine": "str",
"engine_kwargs": "dict",
}
def _aggregate(
self,
call: Call,
method: str,
params: list[str | tuple[str, str, bool]] = [],
) -> Type:
"""Compute the result type of an aggregate method call
Args:
call (Call): the call object
method (str): the method name to delegate on :class:`Column`
params (list[str | tuple[str, str, bool], optional): a list of extra
mixed parameters. The list can contain strings to include
parameters predefined in `NAMED_ARGS`, or tuples containing the
parameter's name, type and required flag. Defaults to [].
Returns:
Type: the result type
"""
real_params: list[Function.Parameter] = []
for i, param in enumerate(params):
match param:
case str() as name:
param = Function.Parameter(
pos=i,
name=name,
type=self.types.get_type(self.NAMED_ARGS[name]),
required=False,
)
case (name, type, required):
param = Function.Parameter(
pos=i,
name=name,
type=self.types.get_type(type),
required=required,
)
real_params.append(param)
# TODO: maybe better to filter arguments and pass some, in case the
# return type depends on them
returns: Type = self.typer.call_method(
location=call.location,
call_expr=call.call_expr,
obj=(call.groupby_expr, call.groupby.column),
method_name=method,
positional=[],
keywords={},
)
if not isinstance(returns, ColumnType):
returns = ColumnType(type=UnknownType())
signature = Function(
params=ParamSpec(mixed=real_params),
returns=returns,
)
result: CallResult = self.dispatcher.get_result(
location=call.location,
callee=signature,
positional=call.positional,
keywords=call.keywords,
)
return result.result
@method()
def kurt(self, call: Call) -> Type:
return self._aggregate(
call,
"kurt",
["skipna", "numeric_only"],
)
@method()
def max(self, call: Call) -> Type:
return self._aggregate(
call,
"max",
[
"numeric_only",
(
"min_count",
"int",
False,
),
"skipna",
"engine",
"engine_kwargs",
],
)
@method()
def mean(self, call: Call) -> Type:
return self._aggregate(
call,
"mean",
["numeric_only", "skipna", "engine", "engine_kwargs"],
)
@method()
def median(self, call: Call) -> Type:
return self._aggregate(
call,
"median",
["numeric_only", "skipna"],
)
@method()
def min(self, call: Call) -> Type:
return self._aggregate(
call,
"min",
[
"numeric_only",
(
"min_count",
"int",
False,
),
"skipna",
"engine",
"engine_kwargs",
],
)
@method()
def prod(self, call: Call) -> Type:
return self._aggregate(
call,
"prod",
[
"numeric_only",
(
"min_count",
"int",
False,
),
"skipna",
],
)
@method()
def std(self, call: Call) -> Type:
return self._aggregate(
call,
"std",
[
(
"ddof",
"int",
False,
),
"engine",
"engine_kwargs",
"numeric_only",
"skipna",
],
)
@method()
def sum(self, call: Call) -> Type:
return self._aggregate(
call,
"sum",
[
"numeric_only",
(
"min_count",
"int",
False,
),
"skipna",
"engine",
"engine_kwargs",
],
)
@method()
def var(self, call: Call) -> Type:
return self._aggregate(
call,
"var",
[
(
"var",
"int",
False,
),
"engine",
"engine_kwargs",
"numeric_only",
"skipna",
],
)

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from __future__ import annotations
from typing import TYPE_CHECKING, Optional
import midas.ast.python as p
from midas.ast.location import Location
from midas.checker.dispatcher import CallResult
from midas.checker.frames.column_groupby_methods import Call as GroupByCall
from midas.checker.frames.column_groupby_methods import ColumnGroupByMethodRegistry
from midas.checker.frames.column_methods import Call, ColumnMethodRegistry
from midas.checker.registry import TypesRegistry
from midas.checker.reporter import FileReporter
from midas.checker.types import (
ColumnGroupBy,
ColumnType,
Function,
OverloadedFunction,
ParamSpec,
Type,
)
if TYPE_CHECKING:
from midas.checker.python import PythonTyper, TypedExpr
class ColumnManager:
"""Helper class to handle methods and subscripts on column types"""
def __init__(self, typer: PythonTyper) -> None:
self.typer: PythonTyper = typer
self.method_resolver: ColumnMethodRegistry = ColumnMethodRegistry(self.typer)
self.groupby_method_resolver: ColumnGroupByMethodRegistry = (
ColumnGroupByMethodRegistry(self.typer)
)
def get(
self,
reporter: FileReporter,
location: Location,
column: ColumnType,
index: TypedExpr,
) -> Type:
"""Compute the type of a subscript access
Args:
reporter (FileReporter): the file reporter to use for diagnostics
location (Location): the subscript's location
column (DataFrameType): the column type
index (TypedExpr): the index
Returns:
Type: the resulting type
"""
single = Function(
params=ParamSpec(
pos=[
Function.Parameter(
pos=0,
name="index",
type=self.typer.types.get_type("int"),
required=True,
)
]
),
returns=column.type,
)
slice = Function(
params=ParamSpec(
pos=[
Function.Parameter(
pos=0,
name="slice",
type=self.typer.types.get_type("slice"),
required=True,
)
]
),
returns=column,
)
overload = OverloadedFunction(overloads=[single, slice])
result: CallResult = self.typer.dispatcher.get_result(
location=location,
callee=overload,
positional=[index],
keywords={},
)
return result.result
def call(
self,
method: str,
location: Location,
call_expr: p.Expr,
column: ColumnType,
column_expr: p.Expr,
positional: list[TypedExpr],
keywords: dict[str, TypedExpr],
) -> Type:
"""Compute the result type of a column's method call
Args:
method (str): the method name
location (Location): the call's location
call_expr (p.Expr): the call expression
column (ColumnType): the column type
column_expr (p.Expr): the column expression
positional (list[TypedExpr]): the list of positional arguments
keywords (dict[str, TypedExpr]): the map of keyword arguments
Returns:
Type: the result type
"""
call: Call = Call(
location=location,
call_expr=call_expr,
column=column,
column_expr=column_expr,
positional=positional,
keywords=keywords,
)
return self.method_resolver.call(method, call)
def groupby_call(
self,
method: str,
location: Location,
call_expr: p.Expr,
groupby: ColumnGroupBy,
groupby_expr: p.Expr,
positional: list[TypedExpr],
keywords: dict[str, TypedExpr],
) -> Type:
"""Compute the result type of a column group-by's method call
Args:
method (str): the method name
location (Location): the call's location
call_expr (p.Expr): the call expression
groupby (ColumnGroupBy): the column group-by object
groupby_expr (p.Expr): the column group-by expression
positional (list[TypedExpr]): the list of positional arguments
keywords (dict[str, TypedExpr]): the map of keyword arguments
Returns:
Type: the result type
"""
call: GroupByCall = GroupByCall(
location=location,
call_expr=call_expr,
groupby=groupby,
groupby_expr=groupby_expr,
positional=positional,
keywords=keywords,
)
return self.groupby_method_resolver.call(method, call)
def get_attribute(self, column: ColumnType, name: str) -> Optional[Type]:
"""Get the type of a column's attribute
Args:
column (ColumnType): the column type
name (str): the attribute's name
Returns:
Optional[Type]: the attribute's type, or `None` if it doesn't exist
"""
types: TypesRegistry = self.typer.types
match name:
case "ndim" | "size":
return types.get_type("int")
case "shape":
return types.tuple_of("int")
case "T":
return column
case _:
return None

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@@ -0,0 +1,683 @@
from __future__ import annotations
import ast
from dataclasses import dataclass
from typing import TYPE_CHECKING, Callable, Optional, TypeAlias, Union
import midas.ast.python as p
from midas.ast.location import Location
from midas.checker.dispatcher import CallResult
from midas.checker.frames.utils import MethodRegistry, method
from midas.checker.types import (
ColumnGroupBy,
ColumnType,
Function,
OverloadedFunction,
ParamSpec,
TopType,
Type,
UnitType,
UnknownType,
unfold_type,
)
if TYPE_CHECKING:
from midas.checker.python import TypedExpr
FormulaOperand: TypeAlias = Union["Formula", str, Type]
"""
A operand type in a :data:`Formula`
Must be one of the following:
- a nested formula
- a type name (a string)
- a type instance
"""
Formula: TypeAlias = Union[Type, tuple[FormulaOperand, str, FormulaOperand]]
"""
A formula to compute the output type of a function
Must be either a type, or a tuple containing:
- a left operand
- an operation / method name (e.g. `"__add__"`)
- a right operand
For example, to compute the result of a `mean` function, given the input type `T`:
```python
mean_formula = ((T, "__add__", T), "__truediv__", "int")
```
"""
@dataclass(frozen=True, kw_only=True)
class Call:
"""A column method call, implements :class:`utils.MethodCall`"""
location: Location
call_expr: p.Expr
column: ColumnType
column_expr: p.Expr
positional: list[TypedExpr]
keywords: dict[str, TypedExpr]
@property
def subject(self) -> TypedExpr:
return (self.column_expr, self.column)
class ColumnMethodRegistry(MethodRegistry[Call]):
"""The method registry for column types"""
def _resolve_formula_operand(self, call: Call, operand: FormulaOperand) -> Type:
"""Resolve the type of a formula operand
See :data:`FormulaOperand` for more information on the accepted format
Args:
call (Call): the call that triggered this resolution
operand (FormulaOperand): the formula operand
Returns:
Type: the type of the operand
"""
match operand:
case str():
return self.types.get_type(operand)
case (_, _, _):
return self._resolve_formula_type(call, operand)
case _:
return operand
def _resolve_formula_type(self, call: Call, formula: Formula) -> Type:
"""Resolve the return type of a formula
See :data:`Formula` for more information on the accepted format
Args:
call (Call): the call that triggered this resolution
formula (Formula): the formula to evaluate
Returns:
Type: the return type of the formula
"""
if not isinstance(formula, tuple):
return formula
op1, operator, op2 = formula
op1_type: Type = self._resolve_formula_operand(call, op1)
op2_type: Type = self._resolve_formula_operand(call, op2)
return self.typer.result_of_binary_op(
location=call.location,
expr=call.call_expr,
left=(call.column_expr, op1_type),
right=(call.column_expr, op2_type),
method=operator,
)
def _simple_call(self, call: Call, function: Type) -> Type:
"""Get the result of calling a simple method
This function is a simple wrapper around :func:`dispatcher.CallDispatcher.get_result`
Args:
call (Call): the call that triggered this resolution
function (Type): the function type
Returns:
Type: the return type
"""
result: CallResult = self.dispatcher.get_result(
location=call.location,
callee=function,
positional=call.positional,
keywords=call.keywords,
)
return result.result
def _element_binary_op(self, call: Call, method: str) -> tuple[Type, bool]:
"""Compute the result of an element-wise binary operation
This function delegates to the inner types for computing the resulting
type.
Args:
call (Call): the call that triggered this resolution
method (str): the method name
Returns:
tuple[Type, bool]: the resulting type and a boolean indicating
whether the operand is a column
"""
if len(call.positional) == 0:
return UnknownType(), False
col_type1: Type = call.column.type
operand: TypedExpr = call.positional[0]
unfolded_operand: Type = unfold_type(operand[1])
col_type2: Type
column_operand: bool = isinstance(unfolded_operand, ColumnType)
# Operand is a column -> get the inner type
if column_operand:
col_type2 = unfolded_operand.type
# Otherwise use the operand type itself
else:
col_type2 = operand[1]
new_inner_type = self.typer.result_of_binary_op(
location=call.location,
expr=call.call_expr,
left=(call.column_expr, col_type1),
right=(operand[0], col_type2),
method=method,
)
return ColumnType(type=new_inner_type), column_operand
def _element_wise(self, call: Call, method: str) -> Type:
"""Compute the result of an element-wise method call
If the call is valid, this method also generates an assertion to check
that both operands have the same length at runtime
Args:
call (Call): the call object
method (str): the method's name
Returns:
Type: the result type
"""
# Build signature with new column type and generic operand
returns, column_operand = self._element_binary_op(call, method)
signature = Function(
params=ParamSpec(
mixed=[
Function.Parameter(
pos=0,
name="other",
type=TopType(),
required=True,
),
],
),
returns=returns,
)
# Map arguments and compute result type
result: CallResult = self.dispatcher.get_result(
location=call.location,
callee=signature,
positional=call.positional,
keywords=call.keywords,
)
if result.is_valid and column_operand:
self._assert_same_length(
call.call_expr, call.column_expr, call.positional[0][0]
)
return result.result
@method()
def copy(self, call: Call) -> Type:
return self._simple_call(
call,
Function(
params=ParamSpec(
mixed=[
Function.Parameter(
pos=0,
name="deep",
type=self.types.get_type("bool"),
required=False,
)
]
),
returns=call.column,
),
)
@method()
def info(self, call: Call) -> Type:
def make_overload(memory_usage: Type, required: bool = False) -> Type:
return Function(
params=ParamSpec(
mixed=[
Function.Parameter(
pos=0,
name="verbose",
type=self.types.get_type("bool"),
required=False,
),
Function.Parameter(
pos=1,
name="buf",
type=TopType(),
required=False,
),
Function.Parameter(
pos=2,
name="max_cols",
type=self.types.get_type("int"),
required=False,
),
Function.Parameter(
pos=3,
name="memory_usage",
type=memory_usage,
required=required,
),
Function.Parameter(
pos=4,
name="show_counts",
type=self.types.get_type("bool"),
required=False,
),
]
),
returns=UnitType(),
)
return self._simple_call(
call,
OverloadedFunction(
overloads=[
make_overload(self.types.get_type("bool"), False),
make_overload(self.types.get_type("str"), True),
],
),
)
@method("add", "__add__")
def add(self, call: Call) -> Type:
return self._element_wise(call, "__add__")
@method("sub", "__sub__")
def sub(self, call: Call) -> Type:
return self._element_wise(call, "__sub__")
@method("mul", "__mul__")
def mul(self, call: Call) -> Type:
return self._element_wise(call, "__mul__")
@method("div", "truediv", "__truediv__")
def truediv(self, call: Call) -> Type:
return self._element_wise(call, "__truediv__")
@method("floordiv", "__floordiv__")
def floordiv(self, call: Call) -> Type:
return self._element_wise(call, "__floordiv__")
@method("mod", "__mod__")
def mod(self, call: Call) -> Type:
return self._element_wise(call, "__mod__")
@method("pow", "__pow__")
def pow(self, call: Call) -> Type:
return self._element_wise(call, "__pow__")
@method("lt", "__lt__")
def lt(self, call: Call) -> Type:
return self._element_wise(call, "__lt__")
@method("gt", "__gt__")
def gt(self, call: Call) -> Type:
return self._element_wise(call, "__gt__")
@method("le", "__le__")
def le(self, call: Call) -> Type:
return self._element_wise(call, "__le__")
@method("ge", "__ge__")
def ge(self, call: Call) -> Type:
return self._element_wise(call, "__ge__")
@method("ne", "__ne__")
def ne(self, call: Call) -> Type:
return self._element_wise(call, "__ne__")
@method("eq", "__eq__")
def eq(self, call: Call) -> Type:
return self._element_wise(call, "__eq__")
def _aggregate(
self,
call: Call,
kwargs: list[Function.Parameter] = [],
*,
formula: Optional[Callable[[Type], Formula]] = None,
) -> Type:
"""Compute the result type of an aggregate method call
Args:
call (Call): the call object
kwargs (list[Function.Parameter], optional): a list of extra
keyword-only parameters. Defaults to [].
formula (Callable[[Type], Formula], optional): optional formula
builder function to compute the return type. If set, the function
should accept the inner column type and return a formula.
If `None`, the result is typed as `Column[Any]`. Defaults to None.
Returns:
Type: the result type
"""
returns: Type = ColumnType(type=TopType())
if formula:
returns = ColumnType(
type=self._resolve_formula_type(
call,
formula(call.column.type),
)
)
signature = Function(
params=ParamSpec(
kw=[
Function.Parameter(
pos=0,
name="axis",
type=TopType(),
required=False,
),
*kwargs,
],
),
returns=returns,
)
result: CallResult = self.dispatcher.get_result(
location=call.location,
callee=signature,
positional=call.positional,
keywords=call.keywords,
)
return result.result
@method("kurtosis", "kurt")
def kurtosis(self, call: Call) -> Type:
return self._aggregate(call)
@method()
def max(self, call: Call) -> Type:
return self._aggregate(call, formula=lambda t: t)
@method()
def mean(self, call: Call) -> Type:
return self._aggregate(
call, formula=lambda t: ((t, "__add__", t), "__truediv__", "int")
)
@method()
def median(self, call: Call) -> Type:
return self._aggregate(call, formula=lambda t: t)
@method()
def min(self, call: Call) -> Type:
return self._aggregate(call, formula=lambda t: t)
@method()
def mode(self, call: Call) -> Type:
return self._aggregate(call, formula=lambda t: t)
@method("product", "prod")
def product(self, call: Call) -> Type:
return self._aggregate(call, formula=lambda t: (t, "__mul__", t))
@method()
def std(self, call: Call) -> Type:
return self._aggregate(
call,
[
Function.Parameter(
pos=1,
name="ddof",
type=self.types.get_type("int"),
required=False,
)
],
)
@method()
def sum(self, call: Call) -> Type:
return self._aggregate(call, formula=lambda t: (t, "__add__", t))
@method()
def var(self, call: Call) -> Type:
return self._aggregate(
call,
[
Function.Parameter(
pos=1,
name="var",
type=self.types.get_type("int"),
required=False,
)
],
)
@method()
def head(self, call: Call) -> Type:
signature = Function(
params=ParamSpec(
mixed=[
Function.Parameter(
pos=0,
name="n",
type=self.types.get_type("int"),
required=False,
),
],
),
returns=call.column,
)
result: CallResult = self.dispatcher.get_result(
location=call.location,
callee=signature,
positional=call.positional,
keywords=call.keywords,
)
return result.result
@method()
def tail(self, call: Call) -> Type:
signature = Function(
params=ParamSpec(
mixed=[
Function.Parameter(
pos=0,
name="n",
type=self.types.get_type("int"),
required=False,
),
],
),
returns=call.column,
)
result: CallResult = self.dispatcher.get_result(
location=call.location,
callee=signature,
positional=call.positional,
keywords=call.keywords,
)
return result.result
@method()
def sort_values(self, call: Call) -> Type:
str_ = self.types.get_type("str")
bool_ = self.types.get_type("bool")
def make_overload(ascending: Type) -> Function:
return Function(
params=ParamSpec(
kw=[
Function.Parameter(
pos=0,
name="axis",
type=TopType(),
required=False,
),
Function.Parameter(
pos=1,
name="ascending",
type=ascending,
required=False,
),
Function.Parameter(
pos=2,
name="inplace",
type=bool_,
required=False,
unsupported=True,
),
Function.Parameter(
pos=3,
name="kind",
type=str_,
required=False,
),
Function.Parameter(
pos=4,
name="na_position",
type=str_,
required=False,
),
Function.Parameter(
pos=5,
name="ignore_index",
type=bool_,
required=False,
),
Function.Parameter(
pos=6,
name="key",
type=TopType(),
required=False,
),
],
),
returns=call.column,
)
list_of = self.types.list_of
overloads: list[Type] = [
make_overload(bool_),
make_overload(bool_),
make_overload(list_of(bool_)),
make_overload(list_of(bool_)),
]
result: CallResult = self.dispatcher.get_result(
location=call.location,
callee=OverloadedFunction(overloads=overloads),
positional=call.positional,
keywords=call.keywords,
)
return result.result
@method()
def groupby(self, call: Call) -> Type:
bool_: Type = self.types.get_type("bool")
function: Function = Function(
params=ParamSpec(
mixed=[
Function.Parameter(
pos=0,
name="by",
type=TopType(),
required=False,
),
Function.Parameter(
pos=1,
name="level",
type=TopType(),
required=False,
),
],
kw=[
Function.Parameter(
pos=i + 2,
name=name,
type=bool_,
required=False,
)
for i, name in enumerate(
["as_index", "sort", "group_keys", "observed", "dropna"]
)
],
),
returns=ColumnGroupBy(column=call.column),
)
result: CallResult = self.dispatcher.get_result(
location=call.location,
callee=function,
positional=call.positional,
keywords=call.keywords,
)
return result.result
def _assert_same_length(self, call_expr: p.Expr, column1: p.Expr, column2: p.Expr):
"""Generate an assertion to check that two columns have the same length
Args:
call_expr (p.Expr): the call expression, to insert the assertion
at the right place
column1 (p.Expr): the first column expression
column2 (p.Expr): the second column expression
"""
func_name: str = "__midas_column_same_length__"
# Efficiently compute length
# https://stackoverflow.com/a/15943975/11109181
def len_of_col(col: ast.expr) -> ast.expr:
return ast.Call(
func=ast.Name(id="len"),
args=[
ast.Attribute(
value=col,
attr="index",
)
],
keywords=[],
)
self.assertions.define(
func_name,
ast.FunctionDef(
name=func_name,
args=ast.arguments(
posonlyargs=[],
args=[
ast.arg(arg="column1"),
ast.arg(arg="column2"),
],
kwonlyargs=[],
defaults=[],
kw_defaults=[],
),
body=[
ast.Return(
value=ast.Compare(
left=len_of_col(ast.Name(id="column1")),
ops=[ast.Eq()],
comparators=[
len_of_col(ast.Name(id="column2")),
],
)
)
],
decorator_list=[],
),
)
self.assertions.add(
bound_expr=call_expr,
inputs=[column1, column2],
builder=lambda c1, c2: ast.Call(
func=ast.Name(id=func_name),
args=[c1, c2],
keywords=[],
),
message="Columns must have the same length",
)

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from __future__ import annotations
from dataclasses import dataclass
from typing import TYPE_CHECKING
import midas.ast.python as p
from midas.ast.location import Location
from midas.checker.frames.utils import MethodRegistry, method
from midas.checker.types import (
ColumnGroupBy,
ColumnType,
DataFrameType,
FrameGroupBy,
Type,
UnknownType,
)
if TYPE_CHECKING:
from midas.checker.python import TypedExpr
@dataclass(frozen=True, kw_only=True)
class Call:
"""A frame group-by method call, implements :class:`utils.MethodCall`"""
location: Location
call_expr: p.Expr
groupby: FrameGroupBy
groupby_expr: p.Expr
positional: list[TypedExpr]
keywords: dict[str, TypedExpr]
@property
def subject(self) -> TypedExpr:
return (self.groupby_expr, self.groupby)
class FrameGroupByMethodRegistry(MethodRegistry[Call]):
"""The method registry for frame group-by types"""
def _aggregate(self, call: Call, method: str) -> Type:
"""Compute the result type of an aggregate method call
Args:
call (Call): the call object
method (str): the method's name
Returns:
Type: the result type
"""
new_columns: list[DataFrameType.Column] = []
for column in call.groupby.frame.columns:
column_groupby: ColumnGroupBy = ColumnGroupBy(column=column.type)
result_type: Type = self.typer.call_method(
location=call.location,
call_expr=call.call_expr,
obj=(call.groupby_expr, column_groupby),
method_name=method,
positional=call.positional,
keywords=call.keywords,
)
if not isinstance(result_type, ColumnType):
result_type = ColumnType(type=UnknownType())
new_columns.append(
DataFrameType.Column(
index=column.index,
name=column.name,
type=result_type,
)
)
return DataFrameType(columns=new_columns)
@method()
def kurt(self, call: Call) -> Type:
return self._aggregate(call, "kurt")
@method()
def max(self, call: Call) -> Type:
return self._aggregate(call, "max")
@method()
def mean(self, call: Call) -> Type:
return self._aggregate(call, "mean")
@method()
def median(self, call: Call) -> Type:
return self._aggregate(call, "median")
@method()
def min(self, call: Call) -> Type:
return self._aggregate(call, "min")
@method()
def prod(self, call: Call) -> Type:
return self._aggregate(call, "prod")
@method()
def std(self, call: Call) -> Type:
return self._aggregate(call, "std")
@method()
def sum(self, call: Call) -> Type:
return self._aggregate(call, "sum")
@method()
def var(self, call: Call) -> Type:
return self._aggregate(call, "var")

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from __future__ import annotations
from typing import TYPE_CHECKING, Optional, TypeGuard, cast
import midas.ast.python as p
from midas.ast.location import Location
from midas.checker.frames.frame_groupby_methods import Call as GroupByCall
from midas.checker.frames.frame_groupby_methods import FrameGroupByMethodRegistry
from midas.checker.frames.frame_methods import Call, FrameMethodRegistry
from midas.checker.registry import TypesRegistry
from midas.checker.reporter import FileReporter
from midas.checker.types import (
ColumnGroupBy,
ColumnType,
DataFrameType,
FrameGroupBy,
TupleType,
Type,
UnknownType,
)
if TYPE_CHECKING:
from midas.checker.python import PythonTyper, TypedExpr
def is_list_of_literals(exprs: list[p.Expr]) -> TypeGuard[list[p.LiteralExpr]]:
"""Check whether the given list only contains literal expressions
Args:
exprs (list[p.Expr]): the list to check
Returns:
TypeGuard[list[p.LiteralExpr]]: whether `exprs` only contains literal expressions
"""
return all(isinstance(expr, p.LiteralExpr) for expr in exprs)
class FrameManager:
"""Helper class to handle methods and subscripts on frame types"""
def __init__(self, typer: PythonTyper) -> None:
self.typer: PythonTyper = typer
self.method_resolver: FrameMethodRegistry = FrameMethodRegistry(self.typer)
self.groupby_method_resolver: FrameGroupByMethodRegistry = (
FrameGroupByMethodRegistry(self.typer)
)
def assign(
self,
reporter: FileReporter,
location: Location,
frame: DataFrameType,
index: p.Expr,
value_type: Type,
) -> Type:
"""Compute the new frame type after assigning a value to an index
Args:
reporter (FileReporter): the file reporter to use for diagnostics
location (Location): the assignment's location
frame (DataFrameType): the frame type
index (p.Expr): the index expression
value_type (Type): the assigned value
Returns:
Type: the resulting frame type
"""
match index:
case p.LiteralExpr(value=str() as name):
return self.assign_column(reporter, location, frame, name, value_type)
case p.ListExpr(items=indices) if is_list_of_literals(indices) and all(
isinstance(index.value, str) for index in indices
):
names: list[str] = [cast(str, index.value) for index in indices]
if not isinstance(value_type, TupleType):
reporter.error(
location,
f"Cannot assign {type} to dataframe columns. Must be a tuple of columns",
)
return UnknownType()
if len(names) != len(value_type.items):
reporter.error(
location,
f"Wrong number of columns. Cannot assign {len(value_type.items)} to {len(names)} targets",
)
return UnknownType()
new_frame: Type = frame
for name, value in zip(names, value_type.items):
new_frame = self.assign_column(
reporter,
location,
new_frame,
name,
value,
)
if not isinstance(new_frame, DataFrameType):
return new_frame
return new_frame
case _:
reporter.error(
location, f"Invalid index type {index} on {frame} (assignment)"
)
return UnknownType()
def assign_column(
self,
reporter: FileReporter,
location: Location,
frame: DataFrameType,
name: str,
type: Type,
) -> Type:
"""Compute the new frame type after assigning a single value to a column
Args:
reporter (FileReporter): the file reporter to use for diagnostics
location (Location): the assignment's location
frame (DataFrameType): the frame type
name (str): the column name
type (Type): the assigned value type
Returns:
Type: the resulting frame type
"""
if not isinstance(type, ColumnType):
reporter.error(
location,
f"Cannot assign {type} to dataframe column. Must be a ColumnType",
)
return self._set_column(frame, name, ColumnType(type=UnknownType()))
return self._set_column(frame, name, type)
def get(
self,
reporter: FileReporter,
location: Location,
frame: DataFrameType,
index: p.Expr,
) -> Type:
"""Compute the type of a subscript access
Args:
reporter (FileReporter): the file reporter to use for diagnostics
location (Location): the subscript's location
frame (DataFrameType): the frame type
index (p.Expr): the index expression
Returns:
Type: the resulting type
"""
match index:
case p.LiteralExpr(value=str() as name):
column: Optional[ColumnType] = FrameManager._get_column(frame, name)
if column is None:
reporter.error(location, f"Unknown column '{name}' on {frame}")
return UnknownType()
return column
case p.ListExpr(items=indices) if is_list_of_literals(indices) and all(
isinstance(index.value, str) for index in indices
):
names: list[str] = [cast(str, index.value) for index in indices]
columns: list[ColumnType] = []
for name in names:
column: Optional[ColumnType] = FrameManager._get_column(frame, name)
if column is None:
reporter.error(location, f"Unknown column '{name}' on {frame}")
return UnknownType()
columns.append(column)
return TupleType(items=tuple(columns))
case _:
reporter.error(
location, f"Invalid index type {index} on {frame} (access)"
)
return UnknownType()
def groupby_get(
self,
reporter: FileReporter,
location: Location,
groupby: FrameGroupBy,
index: p.Expr,
) -> Type:
"""Compute the type of a subscript access on a frame group-by object
Args:
reporter (FileReporter): the file reporter to use for diagnostics
location (Location): the subscript's location
groupby (FrameGroupBy): the group-by object
index (p.Expr): the index expression
Returns:
Type: the resulting type
"""
result: Type = self.get(reporter, location, groupby.frame, index)
match result:
case ColumnType():
result = ColumnGroupBy(column=result)
case TupleType(items=columns):
result = TupleType(
items=tuple(
ColumnGroupBy(column=cast(ColumnType, column))
for column in columns
)
)
return result
@classmethod
def _set_column(
cls, frame: DataFrameType, name: str, column: ColumnType
) -> DataFrameType:
"""Set a frame's column to the given type
Args:
frame (DataFrameType): the frame type
name (str): the column's name
column (ColumnType): the new column's type
Returns:
DataFrameType: the new frame type
"""
new_columns: list[DataFrameType.Column] = []
index: int = len(frame.columns)
replace: bool = False
for i, col in enumerate(frame.columns):
if col.name == name:
index = i
replace = True
# TODO: check column type here to prevent changing it
new_columns.append(col)
new_col: DataFrameType.Column = DataFrameType.Column(
index=index,
name=name,
type=column,
)
if replace:
new_columns[index] = new_col
else:
new_columns.append(new_col)
return DataFrameType(columns=new_columns)
@classmethod
def _set_columns(
cls, frame: DataFrameType, names: list[str], columns: list[ColumnType]
) -> DataFrameType:
"""Set multiple columns of a frame to the given types
Args:
frame (DataFrameType): the frame type
names (list[str]): the column names
columns (list[ColumnType]): the new column types
Returns:
DataFrameType: the new frame type
"""
for name, col in zip(names, columns):
frame = cls._set_column(frame, name, col)
return frame
@classmethod
def _get_column(cls, frame: DataFrameType, name: str) -> Optional[ColumnType]:
"""Get a column's type by name
Args:
frame (DataFrameType): the frame type
name (str): the column's name
Returns:
Optional[ColumnType]: the column's type, or `None` if it doesn't exist
"""
for col in frame.columns:
if col.name == name:
return col.type
return None
@classmethod
def _get_columns(
cls, frame: DataFrameType, names: list[str]
) -> list[Optional[ColumnType]]:
"""Get multiple column types by name
Args:
frame (DataFrameType): the frame type
names (list[str]): the column names
Returns:
list[Optional[ColumnType]]: the column types (see :func:`_get_column`)
"""
return [cls._get_column(frame, name) for name in names]
def call(
self,
method: str,
location: Location,
call_expr: p.Expr,
frame: DataFrameType,
frame_expr: p.Expr,
positional: list[TypedExpr],
keywords: dict[str, TypedExpr],
) -> Type:
"""Compute the result type of a frame's method call
Args:
method (str): the method name
location (Location): the call's location
call_expr (p.Expr): the call expression
frame (DataFrameType): the frame type
frame_expr (p.Expr): the frame expression
positional (list[TypedExpr]): the list of positional arguments
keywords (dict[str, TypedExpr]): the map of keyword arguments
Returns:
Type: the result type
"""
call: Call = Call(
location=location,
call_expr=call_expr,
frame=frame,
frame_expr=frame_expr,
positional=positional,
keywords=keywords,
)
return self.method_resolver.call(method, call)
def groupby_call(
self,
method: str,
location: Location,
call_expr: p.Expr,
groupby: FrameGroupBy,
groupby_expr: p.Expr,
positional: list[TypedExpr],
keywords: dict[str, TypedExpr],
) -> Type:
"""Compute the result type of a frame group-by's method call
Args:
method (str): the method name
location (Location): the call's location
call_expr (p.Expr): the call expression
groupby (FrameGroupBy): the frame group-by object
groupby_expr (p.Expr): the frame group-by expression
positional (list[TypedExpr]): the list of positional arguments
keywords (dict[str, TypedExpr]): the map of keyword arguments
Returns:
Type: the result type
"""
call: GroupByCall = GroupByCall(
location=location,
call_expr=call_expr,
groupby=groupby,
groupby_expr=groupby_expr,
positional=positional,
keywords=keywords,
)
return self.groupby_method_resolver.call(method, call)
def get_attribute(self, frame: DataFrameType, name: str) -> Optional[Type]:
"""Get the type of a frame's attribute
Args:
frame (DataFrameType): the frame type
name (str): the attribute's name
Returns:
Optional[Type]: the attribute's type, or `None` if it doesn't exist
"""
types: TypesRegistry = self.typer.types
match name:
case "ndim" | "size":
return types.get_type("int")
case "shape":
return types.tuple_of("int", "int")
case _:
return None

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from __future__ import annotations
import ast
from dataclasses import dataclass
from typing import TYPE_CHECKING, Optional
import midas.ast.python as p
from midas.ast.location import Location
from midas.checker.dispatcher import CallResult
from midas.checker.frames.utils import MethodRegistry, method
from midas.checker.types import (
ColumnType,
DataFrameType,
FrameGroupBy,
Function,
OverloadedFunction,
ParamSpec,
TopType,
Type,
UnitType,
UnknownType,
unfold_type,
)
if TYPE_CHECKING:
from midas.checker.python import TypedExpr
@dataclass(frozen=True, kw_only=True)
class Call:
"""A frame method call, implements :class:`utils.MethodCall`"""
location: Location
call_expr: p.Expr
frame: DataFrameType
frame_expr: p.Expr
positional: list[TypedExpr]
keywords: dict[str, TypedExpr]
@property
def subject(self) -> TypedExpr:
return (self.frame_expr, self.frame)
class FrameMethodRegistry(MethodRegistry[Call]):
"""The method registry for frame types"""
def _simple_call(self, call: Call, function: Type) -> Type:
"""Get the result of calling a simple method
This function is a simple wrapper around :func:`dispatcher.CallDispatcher.get_result`
Args:
call (Call): the call that triggered this resolution
function (Type): the function type
Returns:
Type: the return type
"""
result: CallResult = self.dispatcher.get_result(
location=call.location,
callee=function,
positional=call.positional,
keywords=call.keywords,
)
return result.result
def _get_method_result(
self,
call: Call,
column1: ColumnType,
column2: ColumnType,
method: str,
) -> ColumnType:
"""Get the result of calling a method on a column, passing a second
This function delegates to the main typer the resolution of the method
member, as well as computing the result type. Because we don't have any
AST expression for the individual columns, the frame expressions are
used instead.
Args:
call (Call): the call that triggered this resolution
column1 (ColumnType): the first column, i.e. left operand
column2 (ColumnType): the second column, i.e. right operand
method (str): the method name
Returns:
ColumnType: the resulting column.
If the operation is invalid / doesn't exist,
`ColumnType(type=UnknownType())` is returned
"""
result: Type = self.typer.result_of_binary_op(
location=call.location,
expr=call.call_expr,
left=(call.frame_expr, column1),
right=(call.positional[0][0], column2),
method=method,
)
if not isinstance(result, ColumnType):
return ColumnType(type=UnknownType())
return result
def _element_binary_op(self, call: Call, method: str) -> tuple[Type, bool]:
"""Compute the result of an element-wise binary operation
This function delegates to the matching columns for computing resulting
types. Any column only present in one of the frames is forwarded as a
generic `ColumnType(type=UnknownType())`. Columns only in the second
frame are append at the end of the schema.
Args:
call (Call): the call that triggered this resolution
method (str): the method name
Returns:
tuple[Type, bool]: the resulting type and a boolean indicating
whether the operand is a frame
"""
if len(call.positional) == 0:
return UnknownType(), False
operand: TypedExpr = call.positional[0]
new_columns: list[DataFrameType.Column] = []
by_name: dict[str, DataFrameType.Column] = {}
frame2: Optional[DataFrameType] = None
# Get map of operand's columns by name, if the operand is a dataframe
unfolded_other: Type = unfold_type(operand[1])
frame_operand: bool = isinstance(unfolded_other, DataFrameType)
if frame_operand:
frame2 = unfolded_other
by_name = {col.name: col for col in frame2.columns if col.name is not None}
# Compute new schema:
# Step 1: for all columns in frame1:
# - if present in frame2 -> delegate operation to columns
# - if not -> add to schema as unknown
in_frame1: set[str] = set()
for column in call.frame.columns:
if column.name is not None:
in_frame1.add(column.name)
col_type1: ColumnType = column.type
col_type: ColumnType = ColumnType(type=UnknownType())
col_type2: Optional[ColumnType] = None
# Operand is a frame -> lookup column with the same name
if frame2 is not None:
if column.name in by_name:
column2 = by_name[column.name]
col_type2 = column2.type
# Operand is not a frame -> scalar operation -> ad-hoc column
else:
col_type2 = ColumnType(type=operand[1])
if col_type2 is not None:
col_type = self._get_method_result(call, col_type1, col_type2, method)
new_column = DataFrameType.Column(
index=column.index,
name=column.name,
type=col_type,
)
new_columns.append(new_column)
# Step 2: for all columns in frame2
# - if not in frame1 -> add to schema as unknown
if frame2 is not None:
for column in frame2.columns:
if column.name in in_frame1:
continue
new_columns.append(
DataFrameType.Column(
index=len(new_columns),
name=column.name,
type=ColumnType(type=UnknownType()),
)
)
return DataFrameType(columns=new_columns), frame_operand
def _element_wise(self, call: Call, method: str) -> Type:
"""Compute the result of an element-wise method call
If the call is valid, this method also generates an assertion to check
that both operands have the same length at runtime
Args:
call (Call): the call object
method (str): the method's name
Returns:
Type: the result type
"""
# TODO: support sequence, Series, dict operand
returns, frame_operand = self._element_binary_op(call, method)
# Build signature with new schema and generic operand
signature = Function(
params=ParamSpec(
mixed=[
Function.Parameter(
pos=0,
name="other",
type=TopType(),
required=True,
),
],
),
returns=returns,
)
# Map arguments and compute result type
result: CallResult = self.dispatcher.get_result(
location=call.location,
callee=signature,
positional=call.positional,
keywords=call.keywords,
)
if result.is_valid and frame_operand:
self._assert_same_length(
call.call_expr, call.frame_expr, call.positional[0][0]
)
return result.result
@method()
def copy(self, call: Call) -> Type:
return self._simple_call(
call,
Function(
params=ParamSpec(
mixed=[
Function.Parameter(
pos=0,
name="deep",
type=self.types.get_type("bool"),
required=False,
)
]
),
returns=call.frame,
),
)
@method()
def info(self, call: Call) -> Type:
def make_overload(memory_usage: Type, required: bool = False) -> Type:
return Function(
params=ParamSpec(
mixed=[
Function.Parameter(
pos=0,
name="verbose",
type=self.types.get_type("bool"),
required=False,
),
Function.Parameter(
pos=1,
name="buf",
type=TopType(),
required=False,
),
Function.Parameter(
pos=2,
name="max_cols",
type=self.types.get_type("int"),
required=False,
),
Function.Parameter(
pos=3,
name="memory_usage",
type=memory_usage,
required=required,
),
Function.Parameter(
pos=4,
name="show_counts",
type=self.types.get_type("bool"),
required=False,
),
]
),
returns=UnitType(),
)
return self._simple_call(
call,
OverloadedFunction(
overloads=[
make_overload(self.types.get_type("bool"), False),
make_overload(self.types.get_type("str"), True),
],
),
)
@method("add", "__add__")
def add(self, call: Call) -> Type:
return self._element_wise(call, "__add__")
@method("sub", "__sub__")
def sub(self, call: Call) -> Type:
return self._element_wise(call, "__sub__")
@method("mul", "__mul__")
def mul(self, call: Call) -> Type:
return self._element_wise(call, "__mul__")
@method("div", "truediv", "__truediv__")
def truediv(self, call: Call) -> Type:
return self._element_wise(call, "__truediv__")
@method("floordiv", "__floordiv__")
def floordiv(self, call: Call) -> Type:
return self._element_wise(call, "__floordiv__")
@method("mod", "__mod__")
def mod(self, call: Call) -> Type:
return self._element_wise(call, "__mod__")
@method("pow", "__pow__")
def pow(self, call: Call) -> Type:
return self._element_wise(call, "__pow__")
@method("lt", "__lt__")
def lt(self, call: Call) -> Type:
return self._element_wise(call, "__lt__")
@method("gt", "__gt__")
def gt(self, call: Call) -> Type:
return self._element_wise(call, "__gt__")
@method("le", "__le__")
def le(self, call: Call) -> Type:
return self._element_wise(call, "__le__")
@method("ge", "__ge__")
def ge(self, call: Call) -> Type:
return self._element_wise(call, "__ge__")
@method("ne", "__ne__")
def ne(self, call: Call) -> Type:
return self._element_wise(call, "__ne__")
@method("eq", "__eq__")
def eq(self, call: Call) -> Type:
return self._element_wise(call, "__eq__")
def _aggregate(self, call: Call, kwargs: list[Function.Parameter] = []) -> Type:
"""Compute the result type of an aggregate method call
Args:
call (Call): the call object
kwargs (list[Function.Parameter], optional): a list of extra
keyword-only parameters. Defaults to [].
Returns:
Type: the result type
"""
with_axis = Function(
params=ParamSpec(
kw=[
Function.Parameter(
pos=0,
name="axis",
type=self.types.get_type("int"),
required=False,
),
*kwargs,
],
),
returns=ColumnType(type=TopType()),
)
without_axis = Function(
params=ParamSpec(
kw=[
Function.Parameter(
pos=0,
name="axis",
type=self.types.get_type("None"),
required=True,
),
*kwargs,
],
),
returns=TopType(),
)
overload = OverloadedFunction(
overloads=[
with_axis,
without_axis,
]
)
result: CallResult = self.dispatcher.get_result(
location=call.location,
callee=overload,
positional=call.positional,
keywords=call.keywords,
)
return result.result
@method("kurtosis", "kurt")
def kurtosis(self, call: Call) -> Type:
return self._aggregate(call)
@method()
def max(self, call: Call) -> Type:
return self._aggregate(call)
@method()
def mean(self, call: Call) -> Type:
return self._aggregate(call)
@method()
def median(self, call: Call) -> Type:
return self._aggregate(call)
@method()
def min(self, call: Call) -> Type:
return self._aggregate(call)
@method()
def mode(self, call: Call) -> Type:
return self._aggregate(call)
@method("product", "prod")
def product(self, call: Call) -> Type:
return self._aggregate(call)
@method()
def std(self, call: Call) -> Type:
return self._aggregate(
call,
[
Function.Parameter(
pos=1,
name="ddof",
type=self.types.get_type("int"),
required=False,
)
],
)
@method()
def sum(self, call: Call) -> Type:
return self._aggregate(call)
@method()
def var(self, call: Call) -> Type:
return self._aggregate(
call,
[
Function.Parameter(
pos=1,
name="var",
type=self.types.get_type("int"),
required=False,
)
],
)
@method()
def head(self, call: Call) -> Type:
signature = Function(
params=ParamSpec(
mixed=[
Function.Parameter(
pos=0,
name="n",
type=self.types.get_type("int"),
required=False,
),
],
),
returns=call.frame,
)
result: CallResult = self.dispatcher.get_result(
location=call.location,
callee=signature,
positional=call.positional,
keywords=call.keywords,
)
return result.result
@method()
def tail(self, call: Call) -> Type:
signature = Function(
params=ParamSpec(
mixed=[
Function.Parameter(
pos=0,
name="n",
type=self.types.get_type("int"),
required=False,
),
],
),
returns=call.frame,
)
result: CallResult = self.dispatcher.get_result(
location=call.location,
callee=signature,
positional=call.positional,
keywords=call.keywords,
)
return result.result
@method()
def sort_values(self, call: Call) -> Type:
str_ = self.types.get_type("str")
bool_ = self.types.get_type("bool")
def make_overload(by: Type, ascending: Type) -> Function:
return Function(
params=ParamSpec(
mixed=[
Function.Parameter(
pos=0,
name="by",
type=by,
required=True,
),
],
kw=[
Function.Parameter(
pos=1,
name="axis",
type=TopType(),
required=False,
),
Function.Parameter(
pos=2,
name="ascending",
type=ascending,
required=False,
),
Function.Parameter(
pos=3,
name="inplace",
type=bool_,
required=False,
unsupported=True,
),
Function.Parameter(
pos=4,
name="kind",
type=str_,
required=False,
),
Function.Parameter(
pos=5,
name="na_position",
type=str_,
required=False,
),
Function.Parameter(
pos=6,
name="ignore_index",
type=bool_,
required=False,
),
Function.Parameter(
pos=7,
name="key",
type=TopType(),
required=False,
),
],
),
returns=call.frame,
)
list_of = self.types.list_of
overloads: list[Type] = [
make_overload(by=str_, ascending=bool_),
make_overload(by=list_of(str_), ascending=bool_),
make_overload(by=str_, ascending=list_of(bool_)),
make_overload(by=list_of(str_), ascending=list_of(bool_)),
]
# TODO: check that literal strings in `by` are valid columns
result: CallResult = self.dispatcher.get_result(
location=call.location,
callee=OverloadedFunction(overloads=overloads),
positional=call.positional,
keywords=call.keywords,
)
return result.result
@method()
def groupby(self, call: Call) -> Type:
bool_: Type = self.types.get_type("bool")
function: Function = Function(
params=ParamSpec(
mixed=[
Function.Parameter(
pos=0,
name="by",
type=TopType(),
required=False,
),
Function.Parameter(
pos=1,
name="level",
type=TopType(),
required=False,
),
],
kw=[
Function.Parameter(
pos=i + 2,
name=name,
type=bool_,
required=False,
)
for i, name in enumerate(
["as_index", "sort", "group_keys", "observed", "dropna"]
)
],
),
returns=FrameGroupBy(frame=call.frame),
)
result: CallResult = self.dispatcher.get_result(
location=call.location,
callee=function,
positional=call.positional,
keywords=call.keywords,
)
return result.result
def _assert_same_length(self, call_expr: p.Expr, frame1: p.Expr, frame2: p.Expr):
"""Generate an assertion to check that two frames have the same length
Args:
call_expr (p.Expr): the call expression, to insert the assertion
at the right place
frame1 (p.Expr): the first frame expression
frame2 (p.Expr): the second frame expression
"""
func_name: str = "__midas_frame_same_length__"
# Efficiently compute length
# https://stackoverflow.com/a/15943975/11109181
def len_of_df(df: ast.expr) -> ast.expr:
return ast.Call(
func=ast.Name(id="len"),
args=[
ast.Attribute(
value=df,
attr="index",
)
],
keywords=[],
)
self.assertions.define(
func_name,
ast.FunctionDef(
name=func_name,
args=ast.arguments(
posonlyargs=[],
args=[
ast.arg(arg="frame1"),
ast.arg(arg="frame2"),
],
kwonlyargs=[],
defaults=[],
kw_defaults=[],
),
body=[
ast.Return(
value=ast.Compare(
left=len_of_df(ast.Name(id="frame1")),
ops=[ast.Eq()],
comparators=[len_of_df(ast.Name(id="frame2"))],
)
)
],
decorator_list=[],
),
)
self.assertions.add(
bound_expr=call_expr,
inputs=[frame1, frame2],
builder=lambda f1, f2: ast.Call(
func=ast.Name(id=func_name),
args=[f1, f2],
keywords=[],
),
message="DataFrames must have the same length",
)

View File

@@ -0,0 +1,129 @@
from __future__ import annotations
from typing import (
TYPE_CHECKING,
Any,
Callable,
Generic,
Optional,
Protocol,
Self,
TypeVar,
)
import midas.ast.python as p
from midas.ast.location import Location
from midas.checker.dispatcher import CallDispatcher
from midas.checker.registry import TypesRegistry
from midas.checker.reporter import FileReporter
from midas.checker.types import Type, UnknownType
from midas.generator.collector import AssertionCollector
if TYPE_CHECKING:
from midas.checker.python import PythonTyper, TypedExpr
class _MethodRegistryMeta(type):
"""Meta-class for :class:`MethodRegistry`
Collects methods marked with the :func:`method` decorator into a dictionary
named `_methods` on the class itself
"""
_methods: dict[str, Callable[..., Type]] = {}
def __new__(
cls,
name: str,
bases: tuple[type, ...],
namespace: dict[str, Any],
):
new_class = super().__new__(cls, name, bases, namespace)
new_class._methods = {}
for attr in namespace.values():
if callable(attr) and hasattr(attr, "__method_names__"):
for name in attr.__method_names__: # type: ignore
new_class._methods[name] = attr # type: ignore
return new_class
class MethodCall(Protocol):
"""A method call object
Must have at least `location`, `call_expr` and `subject` properties
"""
@property
def location(self) -> Location: ...
@property
def call_expr(self) -> p.Expr: ...
@property
def subject(self) -> TypedExpr: ...
T = TypeVar("T", bound=MethodCall)
class MethodRegistry(Generic[T], metaclass=_MethodRegistryMeta):
"""A registry of methods"""
def __init__(self, typer: PythonTyper) -> None:
self.typer: PythonTyper = typer
@property
def reporter(self) -> FileReporter:
return self.typer.reporter
@property
def types(self) -> TypesRegistry:
return self.typer.types
@property
def dispatcher(self) -> CallDispatcher[p.Expr]:
return self.typer.dispatcher
@property
def assertions(self) -> AssertionCollector:
return self.typer.assertions
def call(self, method: str, call: T) -> Type:
"""Compute the result type of a call to the given method
Args:
method (str): the method's name
call (T): the call
Returns:
Type: the result type
"""
func: Optional[Callable[[Self, T], Type]] = self._methods.get(method)
if func is None:
self.reporter.warning(
call.location, f"Unknown method {method} on {call.subject[1]}"
)
return UnknownType()
return func(self, call)
_Self = TypeVar("_Self", bound=MethodRegistry[Any])
Method = Callable[[_Self, T], Type]
def method(*names: str) -> Callable[[Method[_Self, T]], Method[_Self, T]]:
"""Simple decorator to mark a method as part of the registry
Args:
names (str): names by which the method can be called. If left empty, the
Python method's name will be used
"""
def wrapper(func: Method[_Self, T]) -> Method[_Self, T]:
names_: tuple[str, ...] = names
if len(names_) == 0:
names_ = (func.__name__,)
setattr(func, "__method_names__", names_)
return func
return wrapper

View File

@@ -1,72 +1,48 @@
import logging
from dataclasses import dataclass
from pathlib import Path
from typing import Optional
import midas.ast.midas as m
from midas.ast.location import Location
from midas.checker.builtins import define_builtins
from midas.checker.dispatcher import CallDispatcher, CallResult
from midas.checker.environment import Environment
from midas.checker.operators import MIDAS_BINARY_METHODS, MIDAS_UNARY_METHODS
from midas.checker.preamble import Preamble
from midas.checker.registry import TypesRegistry
from midas.checker.reporter import FileReporter, Reporter
from midas.checker.types import (
AliasType,
AppliedType,
ColumnType,
ComplexType,
ConstraintType,
DataFrameType,
DerivedType,
ExtensionType,
Function,
GenericType,
OverloadedFunction,
ParamSpec,
Predicate,
Type,
TypeVar,
UnknownType,
unfold_type,
)
from midas.checker.variance import VarianceInferrer
from midas.lexer.midas import MidasLexer
from midas.lexer.token import Token
from midas.lexer.token import Token, TokenType
from midas.parser.midas import MidasParser
@dataclass(frozen=True, kw_only=True)
class TypedParamSpec:
pos: list[Function.Argument]
mixed: list[Function.Argument]
kw: list[Function.Argument]
TypedExpr = tuple[m.Expr, Type]
class ReturnException(Exception):
pass
@dataclass(frozen=True, kw_only=True)
class MappedArgument:
expr: m.Expr
type: Type
argument: Function.Argument
@dataclass(frozen=True, kw_only=True)
class OverloadCandidate:
function: Function
mapped: list[MappedArgument]
class MidasTyper(m.Stmt.Visitor[None], m.Expr.Visitor[Type], m.Type.Visitor[Type]):
"""A resolver which evaluates Midas type definitions and build a registry"""
def __init__(self, types: TypesRegistry, reporter: Reporter) -> None:
self.logger: logging.Logger = logging.getLogger("MidasTyper")
self.reporter: FileReporter = reporter.for_file(None)
self.types: TypesRegistry = types
self.dispatcher: CallDispatcher[m.Expr] = CallDispatcher[m.Expr](
self.types, self.reporter
)
self._local_variables: dict[str, TypeVar] = {}
self._predicate_params: dict[str, Type] = {}
@@ -81,8 +57,25 @@ class MidasTyper(m.Stmt.Visitor[None], m.Expr.Visitor[Type], m.Type.Visitor[Type
self._preamble: Environment = Preamble(self.types)
def set_reporter(self, reporter: FileReporter):
"""Set the file reporter to use for diagnostics
Args:
reporter (FileReporter): the file reporter
"""
self.reporter = reporter
self.dispatcher.set_reporter(reporter)
def process(self, source: str, path: Optional[str]):
self.reporter = self.reporter.for_file(path)
"""Process some Midas source code
Args:
source (str): the Midas source code
path (Optional[str]): the path of the source file, if known
"""
reporter: FileReporter = self.reporter.for_file(path)
self.set_reporter(reporter)
lexer: MidasLexer = MidasLexer(source)
tokens: list[Token] = lexer.process()
parser: MidasParser = MidasParser(tokens)
@@ -92,6 +85,14 @@ class MidasTyper(m.Stmt.Visitor[None], m.Expr.Visitor[Type], m.Type.Visitor[Type
self.resolve(stmts)
def type_of(self, expr: m.Expr) -> Type:
"""Compute the type of the given expression
Args:
expr (m.Expr): the expression to type
Returns:
Type: the type of the expression
"""
type: Type = expr.accept(self)
return type
@@ -112,6 +113,21 @@ class MidasTyper(m.Stmt.Visitor[None], m.Expr.Visitor[Type], m.Type.Visitor[Type
return self.types.get_type(name)
def get_variable(self, name: str) -> Type:
"""Get the type of a variable
This function will first look into the current predicate's parameters if
we are in a predicate definition.
The the variable is looked up in the preamble (i.e. global environment)
Args:
name (str): the name of the variable
Raises:
NameError: if the variable cannot be found
Returns:
Type: the type of the variable
"""
if name in self._predicate_params:
return self._predicate_params[name]
predicate: Optional[Predicate] = self.types.lookup_predicate(name)
@@ -139,6 +155,11 @@ class MidasTyper(m.Stmt.Visitor[None], m.Expr.Visitor[Type], m.Type.Visitor[Type
self.types._types[name] = inferrer.infer(type)
def assert_bool(self, expr: m.Expr):
"""Check that the given expression is a subtype of `bool` or report an error
Args:
expr (m.Expr): the expression to check
"""
type: Type = self.type_of(expr)
if not self.types.is_subtype(type, self._bool):
self.reporter.error(expr.location, f"Must be a boolean but is {type}")
@@ -152,11 +173,18 @@ class MidasTyper(m.Stmt.Visitor[None], m.Expr.Visitor[Type], m.Type.Visitor[Type
if len(params) != 0:
type = GenericType(name=name, params=params, body=type)
else:
type = AliasType(name=name, type=type)
type = DerivedType(name=name, type=type)
self.types.define_type(name, type)
self._local_variables.clear()
self._current_name = None
def visit_alias_stmt(self, stmt: m.AliasStmt) -> None:
name: str = stmt.name.lexeme
self._current_name = name
type: Type = stmt.type.accept(self)
self.types.define_type(name, type)
self._current_name = None
def visit_member_stmt(self, stmt: m.MemberStmt) -> None: ...
def visit_extend_stmt(self, stmt: m.ExtendStmt) -> None:
@@ -183,9 +211,7 @@ class MidasTyper(m.Stmt.Visitor[None], m.Expr.Visitor[Type], m.Type.Visitor[Type
self._predicate_params[param.name.lexeme] = param.type.accept(self)
type: Type = self.type_of(stmt.body)
params: list[TypedParamSpec] = [
self._visit_param_spec(spec) for spec in stmt.params
]
params: list[ParamSpec] = [self._visit_param_spec(spec) for spec in stmt.params]
if not self._is_valid_predicate(type):
self.reporter.error(
@@ -196,9 +222,7 @@ class MidasTyper(m.Stmt.Visitor[None], m.Expr.Visitor[Type], m.Type.Visitor[Type
type = self._bool
for spec in reversed(params):
type = Function(
pos_args=spec.pos,
args=spec.mixed,
kw_args=spec.kw,
params=spec,
returns=type,
)
self._predicate_params = {}
@@ -212,6 +236,16 @@ class MidasTyper(m.Stmt.Visitor[None], m.Expr.Visitor[Type], m.Type.Visitor[Type
)
def _is_valid_predicate(self, body: Type) -> bool:
"""Check whether the given type is valid as a predicate's body
Accepted types are either subtypes of `bool` or valid predicates
Args:
body (Type): the potential predicate body
Returns:
bool: `True` if `body` can be a predicate body, `False` otherwise
"""
match body:
case Function(returns=returns):
return self._is_valid_predicate(returns)
@@ -237,7 +271,11 @@ class MidasTyper(m.Stmt.Visitor[None], m.Expr.Visitor[Type], m.Type.Visitor[Type
return self._visit_binary_expr(expr.location, expr.left, expr.right, method)
def _visit_binary_expr(
self, location: Location, left_expr: m.Expr, right_expr: m.Expr, method: str
self,
location: Location,
left_expr: m.Expr,
right_expr: m.Expr,
method: str,
) -> Type:
left: Type = self.type_of(left_expr)
right: Type = self.type_of(right_expr)
@@ -250,15 +288,20 @@ class MidasTyper(m.Stmt.Visitor[None], m.Expr.Visitor[Type], m.Type.Visitor[Type
)
return UnknownType()
result: Optional[Type] = self._get_call_result(
location,
operation,
[(right_expr, right)],
{},
result: CallResult = self.dispatcher.get_result(
location=location,
callee=operation,
positional=[(right_expr, right)],
keywords={},
)
return result or UnknownType()
return result.result
def visit_unary_expr(self, expr: m.UnaryExpr) -> Type:
# Special case because there is no __not__ dunder method
match expr.operator:
case Token(type=TokenType.BANG):
return self.types.get_type("bool")
method: Optional[str] = MIDAS_UNARY_METHODS.get(expr.operator.type)
if method is None:
self.logger.warning(f"Unsupported operator {expr.operator.lexeme}")
@@ -276,31 +319,29 @@ class MidasTyper(m.Stmt.Visitor[None], m.Expr.Visitor[Type], m.Type.Visitor[Type
)
return UnknownType()
result: Optional[Type] = self._get_call_result(
expr.location,
operation,
[],
{},
result: CallResult = self.dispatcher.get_result(
location=expr.location,
callee=operation,
positional=[],
keywords={},
)
return result or UnknownType()
return result.result
def visit_call_expr(self, expr: m.CallExpr) -> Type:
callee: Type = expr.callee.accept(self)
positional: list[TypedExpr] = [
positional: list[tuple[m.Expr, Type]] = [
(arg, self.type_of(arg)) for arg in expr.arguments
]
keywords: dict[str, TypedExpr] = {
keywords: dict[str, tuple[m.Expr, Type]] = {
name: (arg, self.type_of(arg)) for name, arg in expr.keywords.items()
}
return (
self._get_call_result(
expr.location,
callee,
positional,
keywords,
)
or UnknownType()
result: CallResult = self.dispatcher.get_result(
location=expr.location,
callee=callee,
positional=positional,
keywords=keywords,
)
return result.result
def visit_get_expr(self, expr: m.GetExpr) -> Type:
object: Type = expr.expr.accept(self)
@@ -347,6 +388,16 @@ class MidasTyper(m.Stmt.Visitor[None], m.Expr.Visitor[Type], m.Type.Visitor[Type
return UnknownType()
def visit_generic_type(self, type: m.GenericType) -> Type:
match type.type:
case m.NamedType(name=Token(lexeme="Column")):
if len(type.args) != 1:
self.reporter.error(
type.location,
f"Column requires 1 type argument, {len(type.args)} provided",
)
return ColumnType(type=UnknownType())
return ColumnType(type=type.args[0].accept(self))
type_: Type = type.type.accept(self)
args: list[Type] = [arg.accept(self) for arg in type.args]
try:
@@ -375,30 +426,46 @@ class MidasTyper(m.Stmt.Visitor[None], m.Expr.Visitor[Type], m.Type.Visitor[Type
)
def visit_function_type(self, type: m.FunctionType) -> Type:
params: TypedParamSpec = self._visit_param_spec(type.params)
return Function(
pos_args=params.pos,
args=params.mixed,
kw_args=params.kw,
params=self._visit_param_spec(type.params),
returns=type.returns.accept(self),
)
def _visit_param_spec(self, spec: m.ParamSpec) -> TypedParamSpec:
def _visit_param_spec(self, spec: m.ParamSpec) -> ParamSpec:
n_pos: int = len(spec.pos)
n_mixed: int = len(spec.mixed)
def process_arg(arg: m.FunctionType.Argument, i: int) -> Function.Argument:
return Function.Argument(
def process_param(
param: m.FunctionType.Parameter, i: int
) -> Function.Parameter:
return Function.Parameter(
pos=i,
name=arg.name.lexeme if arg.name is not None else str(i),
type=arg.type.accept(self),
required=arg.required,
name=param.name.lexeme if param.name is not None else str(i),
type=param.type.accept(self),
required=param.required,
)
return TypedParamSpec(
pos=[process_arg(arg, i) for i, arg in enumerate(spec.pos)],
mixed=[process_arg(arg, i + n_pos) for i, arg in enumerate(spec.mixed)],
kw=[process_arg(arg, i + n_pos + n_mixed) for i, arg in enumerate(spec.kw)],
return ParamSpec(
pos=[process_param(param, i) for i, param in enumerate(spec.pos)],
mixed=[
process_param(param, i + n_pos) for i, param in enumerate(spec.mixed)
],
kw=[
process_param(param, i + n_pos + n_mixed)
for i, param in enumerate(spec.kw)
],
)
def visit_frame_type(self, type: m.FrameType) -> Type:
def process_column(i: int, col: m.FrameType.Column) -> DataFrameType.Column:
return DataFrameType.Column(
index=i,
name=col.name.lexeme,
type=ColumnType(type=col.type.accept(self)),
)
return DataFrameType(
columns=[process_column(i, col) for i, col in enumerate(type.columns)]
)
def _resolve_type_params(self, params: list[m.TypeParam]):
@@ -412,343 +479,3 @@ class MidasTyper(m.Stmt.Visitor[None], m.Expr.Visitor[Type], m.Type.Visitor[Type
self._local_variables[name] = var
vars.append(var)
return vars
def _get_call_result(
self,
location: Location,
callee: Type,
positional: list[TypedExpr],
keywords: dict[str, TypedExpr],
report_errors: bool = True,
) -> Optional[Type]:
"""Get the result type of a function call
If the function has overloads, the function will try to resolve the
appropriate signature.
Argument types are matched to the defined parameters.
The function doesn't take the raw expression as a parameter to accommodate
for desugared calls such as for operators.
Args:
location (Location): the call location
callee (Type): the called function
positional (list[TypedExpr]): the list positional arguments
keywords (dict[str, TypedExpr]): the map of keyword arguments
report_errors (bool, optional): whether type errors should be reported as diagnostics. Defaults to True.
Returns:
Type: the return type of the call, or `None` if either
the call is invalid or no overload matched the arguments uniquely
"""
match callee:
case Function() as function:
valid: bool
mapped: list[MappedArgument]
valid, mapped = self.map_call_arguments(
function, location, positional, keywords
)
valid = valid and self._are_arguments_valid(mapped, report_errors)
if not valid:
return None
return function.returns
case OverloadedFunction(overloads=overloads):
function = self._match_overload(
overloads, location, positional, keywords, report_errors
)
if function is None:
return None
return function.returns
case AppliedType(body=body):
return self._get_call_result(
location, body, positional, keywords, report_errors
)
case UnknownType():
return UnknownType()
case _:
if report_errors:
self.reporter.error(location, f"{callee} is not callable")
return None
def _are_arguments_valid(
self,
arguments: list[MappedArgument],
report_errors: bool = True,
) -> bool:
"""Check whether the passed argument types correspond to their matched parameter definitions
Args:
arguments (list[MappedArgument]): the list of argument/parameter pairs
report_errors (bool, optional): whether type errors should be reported as diagnostics. Defaults to True.
Returns:
bool: True if all arguments fit the matching parameter definitions, False otherwise
"""
valid: bool = True
for arg in arguments:
if not self.types.is_subtype(arg.type, arg.argument.type):
if report_errors:
self.reporter.error(
arg.expr.location,
f"Wrong type for argument '{arg.argument.name}', expected {arg.argument.type}, got {arg.type}",
)
valid = False
return valid
def _match_overload(
self,
overloads: list[Type],
location: Location,
positional: list[TypedExpr],
keywords: dict[str, TypedExpr],
report_errors: bool = True,
) -> Optional[Function]:
"""Try and resolve the appropriate overload for the given arguments
Args:
overloads (list[Type]): the list of possible overloads
location (Location): the call location
positional (list[TypedExpr]): the list of positional arguments
keywords (dict[str, TypedExpr]): the map of keywords arguments
report_errors (bool, optional): whether type errors should be reported as diagnostics. Defaults to True.
Returns:
Optional[Function]: the resolved function signature if it can be
determined unambiguously, or `None`.
"""
candidates: list[OverloadCandidate] = []
for overload in overloads:
function: Type = unfold_type(overload)
if not isinstance(function, Function):
if report_errors:
self.logger.error(
f"Overload is not a function: {overload} is {function}"
)
continue
valid, mapped = self.map_call_arguments(
function=function,
location=location,
positional=positional,
keywords=keywords,
report_errors=False,
)
if valid and self._are_arguments_valid(mapped, report_errors=False):
candidates.append(
OverloadCandidate(
function=function,
mapped=mapped,
)
)
pos_types: str = ", ".join(str(type) for _, type in positional)
kw_types: str = ", ".join(
f"{name}: {type}" for name, (_, type) in keywords.items()
)
for_args: str = f"for arguments pos=[{pos_types}] and kw={{{kw_types}}}"
n_candidates: int = len(candidates)
# Exactly 1 match -> return it
if n_candidates == 1:
return candidates[0].function
# No match -> invalid call
if n_candidates == 0:
overloads_str: str = ", ".join(map(str, overloads))
if report_errors:
self.reporter.error(
location,
f"No matching overload in [{overloads_str}] {for_args}",
)
return None
# Multiple matches -> see if one <: all others (more specific)
for i1, c1 in enumerate(candidates):
mapped1: list[MappedArgument] = c1.mapped
best_match: bool = True
for i2, c2 in enumerate(candidates):
if i1 == i2:
continue
mapped2: list[MappedArgument] = c2.mapped
if not self._are_mapped_subtypes(mapped1, mapped2):
best_match = False
break
self.logger.debug(f"{c1.function} is a full overload of {c2.function}")
if best_match:
return c1.function
candidates_str: str = ", ".join(
str(candidate.function) for candidate in candidates
)
if report_errors:
self.reporter.error(
location,
f"Multiple matching overloads {for_args}: {candidates_str}",
)
return None
def map_call_arguments(
self,
function: Function,
location: Location,
positional: list[TypedExpr],
keywords: dict[str, TypedExpr],
report_errors: bool = True,
) -> tuple[bool, list[MappedArgument]]:
"""Map call arguments to a function's parameters as defined in its signature
This method maps positional-only, keyword-only and mixed parameter definitions
with the arguments passed at the call site
Any mismatched, missing or unexpected argument is reported as a diagnostic,
unless `report_errors` is set to `False`
Args:
function (Function): the function definition
location (Location): the call location
positional (list[TypedExpr]): the list of positional arguments
keywords (dict[str, TypedExpr]): the map of keyword arguments
report_errors (bool, optional): whether type errors should be reported as diagnostics. Defaults to True.
Returns:
tuple[bool, list[MappedArgument]]: a boolean reporting whether
the call is valid and the list of mapped arguments
"""
set_args: set[str] = set()
required_positional: list[str] = [
arg.name for arg in function.pos_args + function.args if arg.required
]
required_keyword: list[str] = [
arg.name for arg in function.kw_args if arg.required
]
mapped: list[MappedArgument] = []
pos_params: list[Function.Argument] = list(function.pos_args)
mixed_params: list[Function.Argument] = list(function.args)
kw_params: dict[str, Function.Argument] = {
arg.name: arg for arg in function.kw_args
}
valid_call: bool = True
# TODO: handle *args and **kwargs sinks
for arg in positional:
param: Function.Argument
if len(pos_params) != 0:
param = pos_params.pop(0)
elif len(mixed_params) != 0:
param = mixed_params.pop(0)
else:
if report_errors:
self.reporter.error(
arg[0].location, "Too many positional arguments"
)
valid_call = False
break
name: str = param.name
if name in required_positional:
required_positional.remove(name)
if name in required_keyword:
required_keyword.remove(name)
set_args.add(name)
mapped.append(
MappedArgument(
expr=arg[0],
type=arg[1],
argument=param,
)
)
kw_params.update({arg.name: arg for arg in mixed_params})
for name, arg in keywords.items():
param: Function.Argument
if name not in kw_params:
if report_errors:
if name in set_args:
self.reporter.error(
arg[0].location, f"Multiple values for argument '{name}'"
)
else:
self.reporter.error(
arg[0].location, f"Unknown keyword argument '{name}'"
)
valid_call = False
continue
param = kw_params.pop(name)
if name in required_positional:
required_positional.remove(name)
if name in required_keyword:
required_keyword.remove(name)
set_args.add(name)
mapped.append(
MappedArgument(
expr=arg[0],
type=arg[1],
argument=param,
)
)
def join_args(args: list[str]) -> str:
args = list(map(lambda a: f"'{a}'", args))
if len(args) == 0:
return ""
if len(args) == 1:
return args[0]
return ", ".join(args[:-1]) + " and " + args[-1]
if len(required_positional) != 0:
plural: str = "" if len(required_positional) == 1 else "s"
args: str = join_args(required_positional)
if report_errors:
self.reporter.error(
location,
f"Missing required positional argument{plural}: {args}",
)
valid_call = False
if len(required_keyword) != 0:
plural: str = "" if len(required_keyword) == 1 else "s"
args: str = join_args(required_keyword)
if report_errors:
self.reporter.error(
location,
f"Missing required keyword argument{plural}: {args}",
)
valid_call = False
return valid_call, mapped
def _are_mapped_subtypes(
self, mapped1: list[MappedArgument], mapped2: list[MappedArgument]
) -> bool:
"""Check whether the given argument mappings are subtype/supertype of one another
This function checks whether the argument mappings `mapped1` are subtypes
of `mapped2`. If any of the parameter type in `mapped1` is not a subtype
of the corresponding parameter in `mapped2`, `False` is returned.
This is used to check whether a given overload is
a more specific function/ a subtype of another.
Args:
mapped1 (list[MappedArgument]): the first argument mappings (subtype)
mapped2 (list[MappedArgument]): the second argument mappings (supertype)
Returns:
bool: `True` if `mapped1` is a subtype of `mapped2`, `False` otherwise
"""
by_expr: dict[m.Expr, Type] = {}
for arg in mapped1:
by_expr[arg.expr] = arg.argument.type
for arg in mapped2:
type2: Type = arg.argument.type
type1: Type = by_expr[arg.expr]
if not self.types.is_subtype(type1, type2):
return False
return True

View File

@@ -41,7 +41,7 @@ PY_UNARY_METHODS: dict[Type[ast.unaryop], str] = {
MIDAS_BINARY_METHODS: dict[TokenType, str] = {
# TokenType.PLUS: "__add__",
TokenType.PLUS: "__add__",
TokenType.MINUS: "__sub__",
TokenType.STAR: "__mul__",
TokenType.SLASH: "__truediv__",

View File

@@ -1,9 +1,18 @@
from dataclasses import dataclass
from typing import Callable, Optional
from typing import Any, Callable, Optional
from midas.checker.environment import Environment
from midas.checker.registry import TypesRegistry
from midas.checker.types import Function, GenericType, TopType, Type, TypeVar, UnitType
from midas.checker.types import (
Function,
GenericType,
OverloadedFunction,
ParamSpec,
TopType,
Type,
TypeVar,
UnitType,
)
@dataclass(frozen=True)
@@ -14,11 +23,14 @@ class Param:
class Preamble(Environment):
"""The initial environment containing some of Python's builtin functions"""
def __init__(self, types: TypesRegistry) -> None:
super().__init__()
self._types: TypesRegistry = types
self._python_funcs: dict[str, Callable] = {}
self._python_funcs: dict[str, Callable[..., Any]] = {}
self.define("__name__", self._types.get_type("str"))
self._def_type_constructor("object", object)
self._def_type_constructor("float", float)
self._def_type_constructor("int", int)
@@ -34,7 +46,7 @@ class Preamble(Environment):
# TODO: use sink
self._def_function(
name="print",
pos=[Param("object", TopType())],
pos=[Param("object", TopType(), required=False)],
returns=UnitType(),
py_function=print,
)
@@ -64,11 +76,48 @@ class Preamble(Environment):
pos=[Param("prompt", TopType(), required=False)],
returns=self._types.get_type("str"),
)
self._def_function(
name="len",
pos=[Param("object", TopType())],
returns=self._types.get_type("int"),
)
def _list_of(self, item_type: Type) -> Type:
return self._types.apply_generic(self._types.get_type("list"), [item_type])
T = TypeVar(name="T", bound=None)
self._def_overloads(
name="max",
py_function=max,
signatures=[
(
[Param("arg1", T), Param("arg2", T)],
[],
[],
T,
[T],
),
([Param("iterable", self._list_of(T))], [], [], T, [T]),
],
)
self._def_overloads(
name="min",
py_function=min,
signatures=[
(
[Param("arg1", T), Param("arg2", T)],
[],
[],
T,
[T],
),
([Param("iterable", self._list_of(T))], [], [], T, [T]),
],
)
def _def_type_constructor(self, name: str, py_function: Optional[Callable] = None):
def _list_of(self, item_type: str | Type) -> Type:
return self._types.list_of(item_type)
def _def_type_constructor(
self, name: str, py_function: Optional[Callable[..., Any]] = None
):
# TODO: more specific arg types
self._def_function(
name=name,
@@ -87,9 +136,9 @@ class Preamble(Environment):
returns: Type = UnitType(),
type_vars: list[TypeVar] = [],
) -> Type:
def map_args(params: list[Param], offset: int) -> list[Function.Argument]:
def map_params(params: list[Param], offset: int) -> list[Function.Parameter]:
return [
Function.Argument(
Function.Parameter(
pos=i + offset,
name=param.name,
type=param.type,
@@ -99,9 +148,11 @@ class Preamble(Environment):
]
function = Function(
pos_args=map_args(pos, 0),
args=map_args(mixed, len(pos)),
kw_args=map_args(kw, len(pos) + len(mixed)),
params=ParamSpec(
pos=map_params(pos, 0),
mixed=map_params(mixed, len(pos)),
kw=map_params(kw, len(pos) + len(mixed)),
),
returns=returns,
)
if len(type_vars) != 0:
@@ -121,7 +172,7 @@ class Preamble(Environment):
kw: list[Param] = [],
returns: Type = UnitType(),
type_vars: list[TypeVar] = [],
py_function: Optional[Callable] = None,
py_function: Optional[Callable[..., Any]] = None,
):
function: Type = self._make_function(
name=name,
@@ -135,5 +186,31 @@ class Preamble(Environment):
if py_function is not None:
self._python_funcs[name] = py_function
def get_py_func(self, name: str) -> Optional[Callable]:
def _def_overloads(
self,
*,
name: str,
signatures: list[
tuple[list[Param], list[Param], list[Param], Type, list[TypeVar]]
],
py_function: Optional[Callable[..., Any]] = None,
):
overloads: list[Type] = []
for pos, mixed, kw, returns, type_vars in signatures:
overloads.append(
self._make_function(
name=name,
pos=pos,
mixed=mixed,
kw=kw,
returns=returns,
type_vars=type_vars,
)
)
function: Type = OverloadedFunction(overloads=overloads)
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[..., Any]]:
return self._python_funcs.get(name)

File diff suppressed because it is too large Load Diff

View File

@@ -5,17 +5,20 @@ from typing import Optional
from midas.ast.midas import MemberKind
from midas.checker.builtins import BUILTIN_SUBTYPES
from midas.checker.types import (
AliasType,
AppliedType,
BaseType,
ColumnType,
ComplexType,
ConstraintType,
DataFrameType,
DerivedType,
ExtensionType,
Function,
GenericType,
OverloadedFunction,
Predicate,
TopType,
TupleType,
Type,
TypeVar,
UnknownType,
@@ -26,11 +29,15 @@ from midas.checker.types import (
@dataclass
class Member:
"""A member of a type (property or method)"""
kind: MemberKind
type: Type
class TypesRegistry:
"""A registry of types, type members and predicates"""
def __init__(self) -> None:
self.logger: logging.Logger = logging.getLogger("TypesRegistry")
self._types: dict[str, Type] = {}
@@ -78,6 +85,25 @@ class TypesRegistry:
member_type: Type,
kind: MemberKind,
):
"""Define a member on a type
If the member is a method and a member with the same name is already
defined on the given type, the two are combined into an :class:`OverloadedFunction`.
If the member is a property and a member with the same name is already
defined on the given type, the new definition is dropped and an error
is reported.
In any case, if a member with the same name but a different kind is
already defined on the given type, the new definition is dropped and
an error is reported.
Args:
type_name (str): the name of the type on which the member is defined
member_name (str): the name of the new member
member_type (Type): the type of the new member
kind (MemberKind): the kind of member to define (property or method)
"""
members: dict[str, Member] = self._members.setdefault(type_name, {})
if member_name in members:
current: Member = members[member_name]
@@ -106,10 +132,37 @@ class TypesRegistry:
members[member_name] = Member(kind=kind, type=member_type)
def define_predicate(self, name: str, predicate: Predicate):
"""Define a predicate
Args:
name (str): the name of the new predicate
predicate (Predicate): the predicate to define
Raises:
ValueError: if a predicate with the same name is already defined
"""
if name in self._predicates:
raise ValueError(f"Predicate {name} already defined")
self._predicates[name] = predicate
def is_builtin_subtype(self, name1: str, name2: str) -> bool:
"""Check whether a type is a subtype of another base on builtin subtype rules
Args:
name1 (str): the name of the potential subtype
name2 (str): the name of the potential supertype
Returns:
bool: _description_
"""
subtypes: set[str] = BUILTIN_SUBTYPES.get(name2, set())
if name1 in subtypes:
return True
for subtype in subtypes:
if self.is_builtin_subtype(name1, subtype):
return True
return False
def is_subtype(self, type1: Type, type2: Type) -> bool:
"""Check whether `type1` is a subtype of `type2`
@@ -143,11 +196,11 @@ class TypesRegistry:
return True
return self.is_subtype(type1, bound)
case (AliasType(type=base1), _):
case (DerivedType(type=base1), _):
return self.is_subtype(base1, type2)
case (BaseType(name=name1), BaseType(name=name2)):
return name1 in BUILTIN_SUBTYPES.get(name2, set())
return self.is_builtin_subtype(name1, name2)
case (ComplexType(properties=props1), ComplexType(properties=props2)):
for k, t in props2.items():
@@ -157,6 +210,24 @@ class TypesRegistry:
return False
return True
case (DataFrameType(columns=columns1), DataFrameType(columns=columns2)):
# TODO: check order?
by_name1: dict[str, DataFrameType.Column] = {
col.name: col for col in columns1 if col.name is not None
}
for col2 in columns2:
if col2.name not in by_name1:
return False
if not self.is_subtype(by_name1[col2.name].type, col2.type):
return False
return True
case (ColumnType(type=inner1), ColumnType(type=inner2)):
# TODO: invariant, replace ColumnType with simple GenericType
if not self.are_equivalent(inner1, inner2):
return False
return True
case (Function(), Function()):
return self.is_func_subtype(type1, type2)
@@ -187,6 +258,18 @@ class TypesRegistry:
return False
def are_equivalent(self, type1: Type, type2: Type) -> bool:
"""Check whether two types are equivalent (T <: S and S <: T)
Args:
type1 (Type): the first type
type2 (Type): the second type
Returns:
bool: whether `type1` is a subtype and a supertype of `type2`
"""
return self.is_subtype(type1, type2) and self.is_subtype(type2, type1)
# TODO: verify the logic in here
def is_func_subtype(self, func1: Function, func2: Function) -> bool:
"""Check whether a function is a subtype of another
@@ -201,101 +284,121 @@ class TypesRegistry:
if not self.is_subtype(func1.returns, func2.returns):
return False
pos1: list[Function.Argument] = func1.pos_args
mixed1: list[Function.Argument] = func1.args
kw1: dict[str, Function.Argument] = {a.name: a for a in func1.kw_args}
pos2: list[Function.Argument] = func2.pos_args
mixed2: list[Function.Argument] = func2.args
kw2: dict[str, Function.Argument] = {a.name: a for a in func2.kw_args}
pos1: list[Function.Parameter] = func1.params.pos
mixed1: list[Function.Parameter] = func1.params.mixed
kw1: dict[str, Function.Parameter] = {
param.name: param for param in func1.params.kw
}
pos2: list[Function.Parameter] = func2.params.pos
mixed2: list[Function.Parameter] = func2.params.mixed
kw2: dict[str, Function.Parameter] = {
param.name: param for param in func2.params.kw
}
mixed_by_pos: dict[int, Function.Argument] = {arg.pos: arg for arg in mixed2}
mixed_by_name: dict[str, Function.Argument] = {arg.name: arg for arg in mixed2}
mixed_by_pos: dict[int, Function.Parameter] = {
param.pos: param for param in mixed2
}
mixed_by_name: dict[str, Function.Parameter] = {
param.name: param for param in mixed2
}
def is_arg_subtype(sub: Function.Argument, sup: Function.Argument) -> bool:
def is_arg_subtype(sub: Function.Parameter, sup: Function.Parameter) -> bool:
if not self.is_subtype(sub.type, sup.type):
return False
if not sup.required and sub.required:
return False
return True
for arg1 in pos1:
arg2: Function.Argument
if arg1.pos < len(pos2):
arg2 = pos2[arg1.pos]
elif arg1.pos in mixed_by_pos:
arg2 = mixed_by_pos[arg1.pos]
elif not arg1.required:
for param1 in pos1:
param2: Function.Parameter
if param1.pos < len(pos2):
param2 = pos2[param1.pos]
elif param1.pos in mixed_by_pos:
param2 = mixed_by_pos[param1.pos]
elif not param1.required:
continue
else:
return False
if not is_arg_subtype(arg2, arg1):
if not is_arg_subtype(param2, param1):
return False
for name, arg1 in kw1.items():
arg2: Function.Argument
for name, param1 in kw1.items():
param2: Function.Parameter
if name in kw2:
arg2 = kw2[name]
param2 = kw2[name]
elif name in mixed_by_name:
arg2 = mixed_by_name[name]
elif not arg1.required:
param2 = mixed_by_name[name]
elif not param1.required:
continue
else:
return False
if not is_arg_subtype(arg2, arg1):
if not is_arg_subtype(param2, param1):
return False
for arg1 in mixed1:
pos_arg2: Optional[Function.Argument] = None
kw_arg2: Optional[Function.Argument] = None
if arg1.name in kw2:
kw_arg2 = kw2[arg1.name]
elif arg1.name in mixed_by_name:
kw_arg2 = mixed_by_name[arg1.name]
if arg1.pos < len(pos2):
pos_arg2 = pos2[arg1.pos]
elif arg1.pos in mixed_by_pos:
pos_arg2 = mixed_by_pos[arg1.pos]
for param1 in mixed1:
pos_param2: Optional[Function.Parameter] = None
kw_param2: Optional[Function.Parameter] = None
if param1.name in kw2:
kw_param2 = kw2[param1.name]
elif param1.name in mixed_by_name:
kw_param2 = mixed_by_name[param1.name]
if param1.pos < len(pos2):
pos_param2 = pos2[param1.pos]
elif param1.pos in mixed_by_pos:
pos_param2 = mixed_by_pos[param1.pos]
# No match in func2 and arg is required
if pos_arg2 is None and kw_arg2 is None and arg1.required:
if pos_param2 is None and kw_param2 is None and param1.required:
return False
# Matching keyword argument
if kw_arg2 is not None and not is_arg_subtype(kw_arg2, arg1):
if kw_param2 is not None and not is_arg_subtype(kw_param2, param1):
return False
# Matching positional argument
if pos_arg2 is not None and not is_arg_subtype(pos_arg2, arg1):
if pos_param2 is not None and not is_arg_subtype(pos_param2, param1):
return False
mixed_positions: set[int] = {a.pos for a in mixed1}
mixed_names: set[str] = {a.name for a in mixed1}
for arg2 in pos2:
if not arg2.required:
mixed_positions: set[int] = {param.pos for param in mixed1}
mixed_names: set[str] = {param.name for param in mixed1}
for param2 in pos2:
if not param2.required:
continue
if arg2.pos >= len(pos1) and arg2.pos not in mixed_positions:
if param2.pos >= len(pos1) and param2.pos not in mixed_positions:
return False
for name, arg2 in kw2.items():
if not arg2.required:
for name, param2 in kw2.items():
if not param2.required:
continue
if name not in kw1 and name not in mixed_names:
return False
for arg2 in mixed2:
if arg2.required:
for param2 in mixed2:
if param2.required:
continue
pos_match: bool = arg2.pos < len(pos1) or arg2.pos in mixed_positions
kw_match: bool = arg2.name in kw1 or arg2.name in mixed_names
pos_match: bool = param2.pos < len(pos1) or param2.pos in mixed_positions
kw_match: bool = param2.name in kw1 or param2.name in mixed_names
if not pos_match or not kw_match:
return False
return True
def apply_generic(self, type: Type, args: list[Type]) -> Type:
"""Instantiate a generic type with the given type arguments
Args:
type (Type): the generic
args (list[Type]): the type arguments
Raises:
ValueError: if the arguments are invalid (wrong number, bound violation)
Returns:
Type: the applied generic type
"""
match type:
case AliasType(name=name, type=base):
return AliasType(name=name, type=self.apply_generic(base, args))
case DerivedType(name=name, type=base):
return DerivedType(name=name, type=self.apply_generic(base, args))
case GenericType(name=name, params=type_vars, body=body):
n_args: int = len(args)
@@ -323,6 +426,9 @@ class TypesRegistry:
body=substitute_typevars(body, substitutions),
)
case BaseType(name="tuple"):
return TupleType(items=tuple(args))
case _:
raise ValueError(f"{type} is not a generic type")
@@ -355,6 +461,19 @@ class TypesRegistry:
return [types[i] for i in keep]
def lookup_member(self, type: Type, member_name: str) -> Optional[Type]:
"""Lookup a member by name on a given type
This function first looks up directly on the specified type, then
recurse through supertypes until it finds the member or reaches
the root type
Args:
type (Type): the type on which to lookup the member
member_name (str): the member's name
Returns:
Optional[Type]: the member's type, or `None` if it is not defined
"""
match type:
case BaseType(name=name):
if name in self._members:
@@ -362,7 +481,7 @@ class TypesRegistry:
return self._members[name][member_name].type
return None
case AliasType(name=name, type=base):
case DerivedType(name=name, type=base):
if name in self._members:
if member_name in self._members[name]:
return self._members[name][member_name].type
@@ -415,4 +534,75 @@ class TypesRegistry:
return None
def lookup_predicate(self, name: str) -> Optional[Predicate]:
"""Lookup a predicate by name
Args:
name (str): the name of the predicate
Returns:
Optional[Predicate]: the predicate, or `None` if is not defined
"""
return self._predicates.get(name)
def _by_name_or_type(self, name_or_type: str | Type) -> Type:
"""Get a type by name or return it as is
If `name_or_type` is a string, the associated type is looked up and returned.
Otherwise, the type is returned as is.
Args:
name_or_type (str | Type): the type or type's name
Returns:
Type: the type
"""
if isinstance(name_or_type, str):
return self.get_type(name_or_type)
return name_or_type
def list_of(self, item_type: str | Type) -> Type:
"""Helper method to type a list of a given item type
Args:
item_type (str | Type): the item type
Returns:
Type: the list type
"""
list_ = self.get_type("list")
return self.apply_generic(list_, [self._by_name_or_type(item_type)])
def tuple_of(self, *item_types: str | Type) -> Type:
"""Helper method to type a tuple of given item types
Args:
item_type (str | Type): the item types
Returns:
Type: the tuple type
"""
tuple_ = self.get_type("tuple")
return self.apply_generic(
tuple_,
[self._by_name_or_type(item_type) for item_type in item_types],
)
def dict_of(self, key_type: str | Type, value_type: str | Type) -> Type:
"""Helper method to type a dict of given key and value types
Args:
key_type (str | Type): the key type
value_type (str | Type): the value type
Returns:
Type: the dict type
"""
dict_ = self.get_type("dict")
return self.apply_generic(
dict_,
[
self._by_name_or_type(key_type),
self._by_name_or_type(value_type),
],
)

View File

@@ -7,6 +7,8 @@ from midas.checker.diagnostic import Diagnostic, DiagnosticType
class Reporter:
"""Helper class to store diagnostics"""
def __init__(self):
self.diagnostics: list[Diagnostic] = []
@@ -17,6 +19,14 @@ class Reporter:
location: Location,
message: str,
):
"""Create and record a diagnostic
Args:
path (Optional[str]): the path linked to this diagnostic
type (DiagnosticType): the type of diagnostic
location (Location): the location if the diagnostic in the file
message (str): the diagnostic's message
"""
self.diagnostics.append(
Diagnostic(
file_path=path,
@@ -27,21 +37,52 @@ class Reporter:
)
def for_file(self, path: Optional[str]) -> FileReporter:
"""Create a new file reporter for the given path using this reporter
Args:
path (Optional[str]): the path for the new file reporter
Returns:
FileReporter: the new file reporter, linked to this reporter
"""
return FileReporter(self, path)
class FileReporter:
"""Helper class to manage diagnostics for a file"""
def __init__(self, base_reporter: Reporter, path: Optional[str]) -> None:
self.base_reporter: Reporter = base_reporter
self.path: Optional[str] = path
def for_file(self, path: Optional[str]) -> FileReporter:
"""Create a new file reporter for the given path with the same base reporter
Args:
path (Optional[str]): the path for the new file reporter
Returns:
FileReporter: the file reporter
"""
return FileReporter(self.base_reporter, path)
def report(self, type: DiagnosticType, location: Location, message: str):
"""Report a diagnostic to the base reporter
Args:
type (DiagnosticType): the type of diagnostic
location (Location): the location of the diagnostic in the file
message (str): the diagnostic's message
"""
self.base_reporter.report(self.path, type, location, message)
def error(self, location: Location, message: str):
"""Report an error diagnostic
Args:
location (Location): the location of the diagnostic in the file
message (str): the diagnostic's message
"""
self.report(
type=DiagnosticType.ERROR,
location=location,
@@ -49,6 +90,12 @@ class FileReporter:
)
def warning(self, location: Location, message: str):
"""Report a warning diagnostic
Args:
location (Location): the location of the diagnostic in the file
message (str): the diagnostic's message
"""
self.report(
type=DiagnosticType.WARNING,
location=location,
@@ -56,6 +103,12 @@ class FileReporter:
)
def info(self, location: Location, message: str):
"""Report an info diagnostic
Args:
location (Location): the location of the diagnostic in the file
message (str): the diagnostic's message
"""
self.report(
type=DiagnosticType.INFO,
location=location,
@@ -63,6 +116,12 @@ class FileReporter:
)
def debug(self, location: Location, message: str):
"""Report a debug diagnostic
Args:
location (Location): the location of the diagnostic in the file
message (str): the diagnostic's message
"""
self.report(
type=DiagnosticType.DEBUG,
location=location,

View File

@@ -78,6 +78,14 @@ class Resolver(p.Stmt.Visitor[None], p.Expr.Visitor[None]):
return
def is_defined(self, name: str) -> bool:
"""Check whether the given variable is defined in any scope
Args:
name (str): the name of the variable
Returns:
bool: `True` if the variable is defined in a scope, `False` otherwise
"""
for scope in self.scopes:
if name in scope:
return True
@@ -93,7 +101,11 @@ class Resolver(p.Stmt.Visitor[None], p.Expr.Visitor[None]):
function (p.Function): the function to resolve
"""
self.begin_scope()
for param in function.all_args:
for param in function.params.all:
if param.default is not None:
self.resolve(param.default)
for param in function.params.all:
self.declare(param.name)
self.define(param.name)
self.resolve(*function.body)
@@ -128,6 +140,10 @@ class Resolver(p.Stmt.Visitor[None], p.Expr.Visitor[None]):
case p.GetExpr():
target.accept(self)
case p.SubscriptExpr():
target.accept(self)
case _:
raise Exception(f"Unsupported assignment to {target}")
@@ -163,6 +179,18 @@ class Resolver(p.Stmt.Visitor[None], p.Expr.Visitor[None]):
self.resolve(*stmt.body)
self.end_scope()
def visit_import_stmt(self, stmt: p.ImportStmt) -> None:
self._resolve_imports(stmt.imports)
def visit_from_import_stmt(self, stmt: p.FromImportStmt) -> None:
self._resolve_imports(stmt.imports)
def _resolve_imports(self, imports: list[p.ImportAlias]) -> None:
for import_ in imports:
name: str = import_.imported_name
self.declare(name)
self.define(name)
def visit_raw_stmt(self, stmt: p.RawStmt) -> None:
pass
@@ -232,5 +260,9 @@ class Resolver(p.Stmt.Visitor[None], p.Expr.Visitor[None]):
if expr.step is not None:
self.resolve(expr.step)
def visit_tuple_expr(self, expr: p.TupleExpr) -> None:
for item in expr.items:
self.resolve(item)
def visit_raw_expr(self, expr: p.RawExpr) -> None:
pass

View File

@@ -2,7 +2,7 @@ from __future__ import annotations
from dataclasses import dataclass, field
from enum import StrEnum
from typing import Optional, assert_never
from typing import Optional, assert_never, cast
import midas.ast.midas as m
from midas.ast.printer import MidasPrinter
@@ -10,12 +10,16 @@ from midas.ast.printer import MidasPrinter
@dataclass(frozen=True, kw_only=True)
class TopType:
"""The top type (`Any`)"""
def __str__(self) -> str:
return "Any"
@dataclass(frozen=True, kw_only=True)
class BaseType:
"""A base / builtin type"""
name: str
def __str__(self) -> str:
@@ -23,7 +27,9 @@ class BaseType:
@dataclass(frozen=True, kw_only=True)
class AliasType:
class DerivedType:
"""A derived type, i.e. a named subtype of another type"""
name: str
type: Type
@@ -33,52 +39,74 @@ class AliasType:
@dataclass(frozen=True, kw_only=True)
class UnknownType:
"""An unknown type"""
def __str__(self) -> str:
return "<Unknown>"
@dataclass(frozen=True, kw_only=True)
class UnitType:
"""The unit type (`None`)"""
def __str__(self) -> str:
return "None"
@dataclass(frozen=True, kw_only=True)
class Function:
pos_args: list[Argument] = field(default_factory=list)
args: list[Argument] = field(default_factory=list)
kw_args: list[Argument] = field(default_factory=list)
"""A function type"""
params: ParamSpec
returns: Type
def __str__(self) -> str:
args: list[str] = []
if len(self.pos_args) != 0:
args += list(map(str, self.pos_args))
args.append("/")
if len(self.args) != 0:
args += list(map(str, self.args))
if len(self.kw_args) != 0:
args.append("*")
args += list(map(str, self.kw_args))
return f"({', '.join(args)}) -> {self.returns}"
return f"{self.params} -> {self.returns}"
@dataclass(frozen=True, kw_only=True)
class Argument:
class Parameter:
pos: int
name: str
type: Type
required: bool
unsupported: bool = False
def __str__(self) -> str:
opt: str = "" if self.required else "?"
return f"{self.name}: {self.type}{opt}"
param: str = f"{self.name}: {self.type}{opt}"
if self.unsupported:
param = f"({param})"
return param
@dataclass(frozen=True, kw_only=True)
class ParamSpec:
"""A function's parameter spec"""
pos: list[Function.Parameter] = field(default_factory=list)
mixed: list[Function.Parameter] = field(default_factory=list)
kw: list[Function.Parameter] = field(default_factory=list)
def __str__(self) -> str:
params: list[str] = []
if len(self.pos) != 0:
params += list(map(str, self.pos))
params.append("/")
if len(self.mixed) != 0:
params += list(map(str, self.mixed))
if len(self.kw) != 0:
params.append("*")
params += list(map(str, self.kw))
return f"({', '.join(params)})"
@dataclass(frozen=True, kw_only=True)
class OverloadedFunction:
"""A list of method overloads"""
overloads: list[Type]
def __str__(self) -> str:
@@ -87,6 +115,8 @@ class OverloadedFunction:
@dataclass(frozen=True, kw_only=True)
class ComplexType:
"""A type with inline members"""
members: dict[str, Type]
def __str__(self) -> str:
@@ -96,6 +126,8 @@ class ComplexType:
@dataclass(frozen=True, kw_only=True)
class ExtensionType:
"""An extension of a type, adding members through a `ComplexType`"""
base: Type
extension: ComplexType
@@ -104,6 +136,8 @@ class ExtensionType:
class Variance(StrEnum):
"""The variance of a :class:`TypeVar`"""
INVARIANT = "INVARIANT"
COVARIANT = "COVARIANT"
CONTRAVARIANT = "CONTRAVARIANT"
@@ -111,6 +145,8 @@ class Variance(StrEnum):
@dataclass(frozen=True, kw_only=True)
class TypeVar:
"""A type variable, often used as type parameters for a generic type"""
name: str
bound: Optional[Type]
variance: Variance = Variance.INVARIANT
@@ -128,6 +164,8 @@ class TypeVar:
@dataclass(frozen=True, kw_only=True)
class GenericType:
"""A generic type, with type parameters and a generic body type"""
name: str
params: list[TypeVar]
body: Type
@@ -138,6 +176,8 @@ class GenericType:
@dataclass(frozen=True, kw_only=True)
class AppliedType:
"""An instance of a :class:`GenericType`, with concrete type arguments substituted in its body"""
name: str
args: list[Type]
body: Type
@@ -148,6 +188,8 @@ class AppliedType:
@dataclass(frozen=True, kw_only=True)
class ConstraintType:
"""A type with a constraint expression"""
type: Type
constraint: m.Expr
@@ -156,13 +198,97 @@ class ConstraintType:
return f"{self.type} where {printer.print(self.constraint)}"
@dataclass(frozen=True, kw_only=True)
class TupleType:
"""A tuple type, containing any number of ordered item types"""
items: tuple[Type, ...]
def __str__(self) -> str:
return f"({', '.join(map(str, self.items))})"
@dataclass(frozen=True, kw_only=True)
class ColumnType:
"""A column type containing items of a given unique type"""
type: Type
def __str__(self) -> str:
return f"Column[{self.type}]"
@dataclass(frozen=True, kw_only=True)
class DataFrameType:
"""A data-frame type, containing named columns of specific :class:`ColumnType`"""
columns: list[Column]
def __str__(self) -> str:
schema: list[str] = [f"{col.name}: {col.type}" for col in self.columns]
return f"Frame[{', '.join(schema)}]"
@dataclass(frozen=True, kw_only=True)
class Column:
index: int
name: Optional[str]
type: ColumnType
@dataclass(frozen=True, kw_only=True)
class FrameGroupBy:
"""A frame group-by object"""
frame: DataFrameType
def __str__(self) -> str:
return f"FrameGroupBy[{self.frame}]"
@dataclass(frozen=True, kw_only=True)
class ColumnGroupBy:
"""A column group-by object"""
column: ColumnType
def __str__(self) -> str:
return f"ColumnGroupBy[{self.column}]"
def substitute_typevars(type: Type, substitutions: dict[str, Type]) -> Type:
def sub_argument(arg: Function.Argument):
return Function.Argument(
pos=arg.pos,
name=arg.name,
type=substitute_typevars(arg.type, substitutions),
required=arg.required,
"""Substitute type variables in the given type
This function is called recursively on inner type structures
Args:
type (Type): the type in which to substitute type variables
substitutions (dict[str, Type]): a mapping of type variable names to
concrete types
Returns:
Type: the resulting type with substitutions applied
"""
def sub_parameter(param: Function.Parameter):
return Function.Parameter(
pos=param.pos,
name=param.name,
type=substitute_typevars(param.type, substitutions),
required=param.required,
)
def sub_param_spec(spec: ParamSpec):
return ParamSpec(
pos=list(map(sub_parameter, spec.pos)),
mixed=list(map(sub_parameter, spec.mixed)),
kw=list(map(sub_parameter, spec.kw)),
)
def sub_column(col: DataFrameType.Column):
return DataFrameType.Column(
index=col.index,
name=col.name,
type=cast(ColumnType, substitute_typevars(col.type, substitutions)),
)
match type:
@@ -175,19 +301,17 @@ def substitute_typevars(type: Type, substitutions: dict[str, Type]) -> Type:
case BaseType():
return type
case AliasType(name=name, type=type2):
return AliasType(name=name, type=substitute_typevars(type2, substitutions))
case DerivedType(name=name, type=type2):
return DerivedType(
name=name, type=substitute_typevars(type2, substitutions)
)
case Function(
pos_args=pos_args,
args=args,
kw_args=kw_args,
params=params,
returns=returns,
):
return Function(
pos_args=list(map(sub_argument, pos_args)),
args=list(map(sub_argument, args)),
kw_args=list(map(sub_argument, kw_args)),
params=sub_param_spec(params),
returns=substitute_typevars(returns, substitutions),
)
@@ -250,6 +374,31 @@ def substitute_typevars(type: Type, substitutions: dict[str, Type]) -> Type:
body=substitute_typevars(body, substitutions),
)
case TupleType(items=items):
return TupleType(
items=tuple(substitute_typevars(item, substitutions) for item in items),
)
case ColumnType(type=items_type):
return ColumnType(
type=substitute_typevars(items_type, substitutions),
)
case DataFrameType(columns=columns):
return DataFrameType(
columns=list(map(sub_column, columns)),
)
case FrameGroupBy(frame=frame):
return FrameGroupBy(
frame=cast(DataFrameType, substitute_typevars(frame, substitutions))
)
case ColumnGroupBy(column=column):
return ColumnGroupBy(
column=cast(ColumnType, substitute_typevars(column, substitutions))
)
case UnknownType() | UnitType():
return type
@@ -262,22 +411,39 @@ def substitute_typevars(type: Type, substitutions: dict[str, Type]) -> Type:
def unfold_type(type: Type) -> Type:
"""Unfold a chain of :class:`DerivedType` to get the root supertype
Args:
type (Type): the type to unfold
Returns:
Type: the root supertype
"""
match type:
case AliasType(type=ref_type):
case DerivedType(type=ref_type):
return unfold_type(ref_type)
case _:
return type
def to_annotation(type: Type) -> str:
def _args_annotation(func: Function) -> str:
if len(func.kw_args) != 0:
"""Convert the given type to a Python annotation string
Args:
type (Type): the type to convert
Returns:
str: the annotation string
"""
def _params_annotation(spec: ParamSpec) -> str:
if len(spec.kw) != 0:
return "..."
args: str = ", ".join(
to_annotation(arg.type) for arg in func.pos_args + func.args
params: str = ", ".join(
to_annotation(param.type) for param in spec.pos + spec.mixed
)
return f"[{args}]"
return f"[{params}]"
match type:
case TopType():
@@ -286,7 +452,7 @@ def to_annotation(type: Type) -> str:
case BaseType(name=name):
return name
case AliasType(name=name):
case DerivedType(name=name):
return name
case UnknownType():
@@ -295,8 +461,8 @@ def to_annotation(type: Type) -> str:
case UnitType():
return "None"
case Function(returns=returns):
params_annot: str = _args_annotation(type)
case Function(params=params, returns=returns):
params_annot: str = _params_annotation(params)
return f"Callable[{params_annot}, {to_annotation(returns)}]"
case OverloadedFunction():
@@ -317,12 +483,29 @@ def to_annotation(type: Type) -> str:
case ConstraintType():
return str(type)
case TupleType(items=items):
return f"Tuple[{', '.join(map(to_annotation, items))}]"
case ColumnType():
return "pd.Series"
case DataFrameType():
return "pd.DataFrame"
case FrameGroupBy():
return "pd.api.typing.DataFrameGroupBy"
case ColumnGroupBy():
return "pd.api.typing.SeriesGroupBy"
case _:
assert_never(type)
@dataclass(frozen=True, kw_only=True)
class Predicate:
"""A predicate"""
type: Type
body: m.Expr
alias: bool
@@ -331,7 +514,7 @@ class Predicate:
Type = (
TopType
| BaseType
| AliasType
| DerivedType
| UnknownType
| UnitType
| Function
@@ -342,4 +525,9 @@ Type = (
| GenericType
| AppliedType
| ConstraintType
| TupleType
| ColumnType
| DataFrameType
| FrameGroupBy
| ColumnGroupBy
)

View File

@@ -4,8 +4,11 @@ from typing import Optional
from midas.checker.registry import TypesRegistry
from midas.checker.types import (
AppliedType,
ColumnType,
DataFrameType,
Function,
GenericType,
ParamSpec,
TopType,
Type,
TypeVar,
@@ -16,6 +19,14 @@ class UnificationError(Exception): ...
class Unifier:
"""
Helper class to unify generic types in concrete usages
This can be used for example when a generic function is called with concrete
arguments, at which point the type parameters of the function signature
should be resolvable
"""
def __init__(self, types: TypesRegistry) -> None:
self.types: TypesRegistry = types
self.logger: logging.Logger = logging.getLogger("Unifier")
@@ -26,26 +37,37 @@ class Unifier:
positional: list[Type],
keywords: dict[str, Type],
) -> Optional[Type]:
"""Try and unify a generic function call given concrete arguments
Args:
type (GenericType): the generic function type
positional (list[Type]): the list of positional arguments
keywords (dict[str, Type]): the map of keyword arguments
Returns:
Optional[Type]: the concrete function type if unifiable, or `None`
"""
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())
],
params=ParamSpec(
pos=[
Function.Parameter(
pos=i,
name=str(i),
type=arg,
required=True,
)
for i, arg in enumerate(positional)
],
kw=[
Function.Parameter(
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)
@@ -56,6 +78,18 @@ class Unifier:
concrete: Type,
match_return: bool = True,
) -> Optional[Type]:
"""Unify a generic type's parameters given a concrete usage
Args:
template (GenericType): the generic type
concrete (Type): a concrete usage
match_return (bool, optional): if `template` is a function type,
whether its return type must be matched (see :func:`match`).
Defaults to True.
Returns:
Optional[Type]: the concrete type if unifiable, or `None`
"""
substitutions: dict[str, Type]
try:
substitutions = self.match(template.body, concrete, match_return)
@@ -77,6 +111,22 @@ class Unifier:
concrete: Type,
match_return: bool = True,
) -> dict[str, Type]:
"""Match a generic type with a concrete usage, recording parameter substitutions
Args:
template (Type): the generic type
concrete (Type): a concrete usage
match_return (bool, optional): if `template` and `concrete` are both
:class:`Function`, whether their return types are also matched.
Defaults to True.
Raises:
UnificationError: if there is a conflict in parameter substitutions
Returns:
dict[str, Type]: the parameter substitutions which,
applied to `template`, yield `concrete`
"""
# TODO: if concrete is Generic, record bound TypeVar. Then when merging
# substitutions, check that the constraint is respected
match (template, concrete):
@@ -98,8 +148,32 @@ class Unifier:
return substitutions
case (
DataFrameType(columns=template_columns),
DataFrameType(columns=concrete_columns),
) if len(template_columns) == len(concrete_columns):
substitutions: dict[str, Type] = {}
for template_column, concrete_column in zip(
template_columns, concrete_columns
):
if template_column.index != concrete_column or (
template_column.name != concrete_column.name
):
self.logger.debug(
f"Column mismatch: template={template_column}, concrete={concrete_column}"
)
raise UnificationError
new_substistutions: dict[str, Type] = self.match(
template_column.type, concrete_column.type
)
substitutions = self.merge(substitutions, new_substistutions)
return substitutions
case (ColumnType(type=template_column), ColumnType(type=concrete_column)):
return self.match(template_column, concrete_column)
case (Function(), Function()):
mapped: list[tuple[Function.Argument, Function.Argument]] = (
mapped: list[tuple[Function.Parameter, Function.Parameter]] = (
self.map_params(template, concrete)
)
substitutions: dict[str, Type] = {}
@@ -122,6 +196,18 @@ class Unifier:
return {}
def merge(self, subs1: dict[str, Type], subs2: dict[str, Type]) -> dict[str, Type]:
"""Merge two maps of substitutions and raise an error if incompatible
Args:
subs1 (dict[str, Type]): the first substitutions
subs2 (dict[str, Type]): the second substitutions
Raises:
UnificationError: if there is a conflict between the two maps
Returns:
dict[str, Type]: the merged map of substitutions
"""
merged: dict[str, Type] = subs1.copy()
for k, v in subs2.items():
@@ -135,19 +221,32 @@ class Unifier:
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
) -> list[tuple[Function.Parameter, Function.Parameter]]:
"""Map parameters of two functions
pos2: list[Function.Argument] = func2.pos_args
mixed2: list[Function.Argument] = func2.args
kw2: list[Function.Argument] = func2.kw_args
Args:
func1 (Function): the first function
func2 (Function): the second function
mapped: list[tuple[Function.Argument, Function.Argument]] = []
Returns:
list[tuple[Function.Parameter, Function.Parameter]]: the list of parameter pairs
"""
pos1: list[Function.Parameter] = func1.params.pos
mixed1: list[Function.Parameter] = func1.params.mixed
kw1: list[Function.Parameter] = func1.params.kw
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}
pos2: list[Function.Parameter] = func2.params.pos
mixed2: list[Function.Parameter] = func2.params.mixed
kw2: list[Function.Parameter] = func2.params.kw
mapped: list[tuple[Function.Parameter, Function.Parameter]] = []
by_pos2: dict[int, Function.Parameter] = {
param.pos: param for param in pos2 + mixed2
}
by_name2: dict[str, Function.Parameter] = {
param.name: param for param in mixed2 + kw2
}
for arg1 in pos1:
if (arg2 := by_pos2.get(arg1.pos)) is not None:

View File

@@ -16,14 +16,27 @@ Polarity = Literal[-1, 0, 1]
class Tracker:
"""Helper class to track the polarity of type parameter references and computer their variance"""
def __init__(self, vars: list[TypeVar]) -> None:
self.vars: list[TypeVar] = vars
self.refs: dict[str, set[Polarity]] = {var.name: set() for var in self.vars}
def record(self, var: TypeVar, polarity: Polarity):
"""Record a polarity of the given type parameter
Args:
var (TypeVar): the type parameter
polarity (Polarity): the polarity
"""
self.refs[var.name].add(polarity)
def get_updated_vars(self) -> list[TypeVar]:
"""Get a list of the tracked type variables with their recorded variance
Returns:
list[TypeVar]: the list of update type parameters
"""
return [
TypeVar(
name=var.name, bound=var.bound, variance=self.get_variance(var.name)
@@ -32,6 +45,18 @@ class Tracker:
]
def get_variance(self, name: str) -> Variance:
"""Get the variance of a type parameter
If the type parameter is only referenced in positive positions, it is
covariant. If it is only referenced in negative positions, it is
contravariant. Otherwise, it is invariant
Args:
name (str): the name of the type parameter
Returns:
Variance: the variance of the type parameter
"""
refs: set[Polarity] = self.refs[name]
if refs == {-1}:
return Variance.CONTRAVARIANT
@@ -46,11 +71,22 @@ class Tracker:
class VarianceInferrer:
"""Helper class to compute type parameter variance"""
def __init__(self, types: TypesRegistry) -> None:
self.types: TypesRegistry = types
self.tracker: Tracker = Tracker([])
def infer(self, type: GenericType) -> GenericType:
"""Infer the variance of a generic type's parameters
Args:
type (GenericType): the generic type
Returns:
GenericType: a new generic type with its parameters updated with
their inferred variance
"""
self.tracker = Tracker(type.params)
self.walk(type.body, 1, type.name)
@@ -71,20 +107,36 @@ class VarianceInferrer:
base_name: str,
path: Optional[list[str]] = None,
):
"""Walk the type nodes and record variance
This function recurses into type substructures (e.g. function parameters,
overloads, constraint type bases, etc.)
When recursing, the polarity is flipped for consumer positions (e.g. function
parameters) or kept the same for producer positions (e.g. return type)
Args:
type (Type): the type to visit
polarity (Polarity): the current polarity
base_name (str): the root generic type name (used to detect and
handle cyclic references)
path (Optional[list[str]], optional): the path to reach the current
type from the root generic type (used for debugging). Defaults to None.
"""
if path is None:
path = []
match type:
# Arguments are negative positions -> flip polarity
# Return is positive position -> keep polarity
case Function(pos_args=pos_args, args=mixed_args, kw_args=kw_args):
all_args: list[Function.Argument] = pos_args + mixed_args + kw_args
for arg in all_args:
case Function(params=spec):
all_params: list[Function.Parameter] = spec.pos + spec.mixed + spec.kw
for param in all_params:
self.walk(
arg.type,
param.type,
-polarity,
base_name,
path + [f"arg:'{arg.name}'"],
path + [f"param:'{param.name}'"],
)
self.walk(type.returns, polarity, base_name, path + ["return"])

View File

@@ -5,7 +5,7 @@
import sys
from pathlib import Path
from typing import TextIO
from typing import Optional, TextIO
import click
@@ -19,18 +19,23 @@ 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("-s", "--stubs", type=str, multiple=True)
@click.option("--ignore-errors", is_flag=True)
def compile(
file: TextIO,
types: tuple[TextIO],
stubs: tuple[str],
ignore_errors: bool,
):
source: str = file.read()
source_path: Path = Path(file.name).resolve()
checker = TypeChecker()
for types_file in types:
checker.import_midas(Path(types_file.name).resolve())
type_files: list[tuple[Path, Optional[str]]] = []
for i, types_file in enumerate(types):
in_path: Path = Path(types_file.name).resolve()
checker.import_midas(in_path)
type_files.append((in_path, stubs[i] if i < len(stubs) else None))
typed_ast: TypedAST = checker.type_check_source(source, str(source_path))
diagnostics: list[Diagnostic] = checker.diagnostics.copy()
@@ -43,4 +48,4 @@ def compile(
sys.exit(1)
generator = Generator(workdir=source_path.parent, types=checker.types)
generator.generate(typed_ast, source_path)
generator.generate(typed_ast, source_path, type_files=type_files)

View File

@@ -11,14 +11,14 @@ 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
from midas.checker.types import AppliedType, BaseType, DerivedType, GenericType, Type
def base_type(type: Type) -> Type:
match type:
case BaseType():
return type
case AliasType(type=base):
case DerivedType(type=base):
return base
case AppliedType(body=body):
return body

View File

@@ -1,7 +1,7 @@
import ast
import time
from pathlib import Path
from typing import TextIO
from typing import Optional, TextIO
import black
import click
@@ -38,15 +38,17 @@ class Handler(FileSystemEventHandler):
@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("-o", "--output", type=click.File("w"))
@click.option("-w", "--watch", is_flag=True)
def stubs(
file: TextIO,
output: TextIO,
output: Optional[TextIO],
watch: bool,
):
source_path: Path = Path(file.name).resolve()
out_path: Path = Path(output.name).resolve()
out_path: Path = source_path.with_suffix(".pyi")
if output is not None:
out_path = Path(output.name).resolve()
generate_stubs(source_path, out_path)
if watch:

View File

@@ -134,9 +134,9 @@ class PythonHighlighter(
def visit_base_type(self, node: p.BaseType) -> None:
self.wrap(node, "base-type")
if node.param is not None:
self.wrap(node.param, "param")
node.param.accept(self)
for arg in node.args:
self.wrap(arg, "arg")
arg.accept(self)
def visit_constraint_type(self, node: p.ConstraintType) -> None:
self.wrap(node, "constraint-type")
@@ -157,15 +157,18 @@ class PythonHighlighter(
def visit_function(self, stmt: p.Function) -> None:
self.wrap(stmt, "function")
for arg in stmt.posonlyargs + stmt.args + stmt.kwonlyargs:
self._highlight_function_argument(arg)
self._highlight_param_spec(stmt.params)
for body_stmt in stmt.body:
body_stmt.accept(self)
def _highlight_function_argument(self, arg: p.Function.Argument) -> None:
self.wrap(arg, "argument")
if arg.type is not None:
arg.type.accept(self)
def _highlight_param_spec(self, spec: p.ParamSpec) -> None:
for param in spec.all:
self._highlight_function_param(param)
def _highlight_function_param(self, param: p.Function.Parameter) -> None:
self.wrap(param, "parameter")
if param.type is not None:
param.type.accept(self)
def visit_type_assign(self, stmt: p.TypeAssign) -> None:
stmt.type.accept(self)
@@ -247,6 +250,10 @@ class PythonHighlighter(
if expr.step is not None:
expr.step.accept(self)
def visit_tuple_expr(self, expr: p.TupleExpr) -> None:
for item in expr.items:
item.accept(self)
def visit_raw_expr(self, expr: p.RawExpr) -> None: ...
def visit_raw_stmt(self, stmt: p.RawStmt) -> None: ...
@@ -350,6 +357,14 @@ class MidasHighlighter(
for param in spec.pos + spec.mixed + spec.kw:
param.type.accept(self)
def visit_frame_type(self, type: m.FrameType) -> None:
self.wrap(type, "frame")
for column in type.columns:
self._visit_frame_column(column)
def _visit_frame_column(self, column: m.FrameType.Column) -> None:
self.wrap(column, "column")
class DiagnosticsHighlighter(Highlighter):
EXTRA_CSS_PATH: Optional[Path] = Path(__file__).parent / "hl_diagnostic.css"

View File

@@ -4,9 +4,11 @@ span {
&.error {
--col: 255, 0, 0;
}
&.warning {
--col: 250, 160, 0;
}
&.info {
--col: 150, 190, 250;
}
@@ -19,12 +21,12 @@ span {
}
&:hover:not(:has(.with-msg:hover)) {
.message {
&>.message {
display: inline-block;
}
}
.message {
&>.message {
position: absolute;
top: calc(100% + 0.2em);
left: -.2em;
@@ -33,7 +35,8 @@ span {
padding: 0.2em 0.4em;
border-radius: .2em;
z-index: 10;
width: 300%;
width: max-content;
max-width: 60vw;
}
}
}

View File

@@ -3,7 +3,7 @@ span {
--col: 108, 233, 108;
}
&.param {
&.arg {
--col: 103, 192, 224;
}
@@ -23,7 +23,7 @@ span {
--col: 215, 103, 224;
}
&.argument {
&.parameter {
--col: 103, 192, 224;
}
}

View File

@@ -68,7 +68,7 @@ class DiagnosticPrinter:
loc: Location = diagnostic.location
if loc.lineno != loc.end_lineno:
print(diagnostic)
self.print_multiline(lines, diagnostic, indent)
return
start_offset: int = loc.col_offset
@@ -95,3 +95,27 @@ class DiagnosticPrinter:
print(indent_str + before + subject + after)
print(indent_str + cursor)
print()
def print_multiline(
self, all_lines: list[str], diagnostic: Diagnostic, indent: int = 4
):
loc: Location = diagnostic.location
lines: list[str] = all_lines[loc.lineno - 1 : loc.end_lineno]
start_offset: int = loc.col_offset
end_offset: int = loc.end_col_offset or (start_offset + 1)
indent_str: str = " " * indent
color: int = self.COLORS.get(diagnostic.type, Ansi.WHITE)
res: str = indent_str + lines[0][:start_offset]
res += Ansi.FG(color) + lines[0][start_offset:]
for line in lines[1:-1]:
res += "\n" + indent_str + line
res += "\n" + indent_str + lines[-1][:end_offset]
res += Ansi.RESET + lines[-1][end_offset:]
print(diagnostic.location_str + ":")
print(res)
print()
print(Ansi.FG(color) + diagnostic.message + Ansi.RESET)
print()

View File

@@ -0,0 +1,124 @@
import ast
from dataclasses import dataclass
from typing import Callable
import midas.ast.python as p
AssertionBuilder = Callable[..., ast.expr]
"""A callback function which builds an assertion test given some input expressions"""
@dataclass
class Assertion:
"""Runtime assertion to generate, bound to an expression"""
bound_expr: p.Expr
"""The expression the assertion is bound to"""
inputs: list[p.Expr]
"""
Expressions needed for the assertion
Each expression will be converted by the generator and passed as individual
arguments to `builder`
"""
builder: AssertionBuilder
"""The callback to build the assertion test given converted expression from `inputs`"""
message: str
"""The assertion message"""
def is_bound_to(self, expr: p.Expr) -> bool:
"""Check whether this assertion is bound to the given expression
Args:
expr (p.Expr): the expression
Returns:
bool: whether this assertion is bound to `expr`
"""
return expr == self.bound_expr
class AssertionCollector:
"""Helper class to collect assertions from outside the generator"""
def __init__(self):
self.assertions: list[Assertion] = []
self.definitions: dict[str, ast.stmt] = {}
def add(
self,
bound_expr: p.Expr,
inputs: list[p.Expr],
builder: AssertionBuilder,
message: str,
):
"""Add an assertion bound to the given expression
Args:
bound_expr (p.Expr): the expression before which the assertion
must be generated
inputs (list[p.Expr]): the list of input expressions (see :class:`Assertion`)
builder (AssertionBuilder): the builder callback (see :class:`Assertion`)
message (str): the assertion message
"""
self.assertions.append(
Assertion(
bound_expr=bound_expr,
inputs=inputs,
builder=builder,
message=message,
)
)
def remove(self, assertion: Assertion):
"""Remove the given assertion from the collection
Args:
assertion (Assertion): the assertion to remove
"""
try:
self.assertions.remove(assertion)
except ValueError:
pass
def define(self, name: str, stmt: ast.stmt):
"""Register a statement definition
This method will only register the first definition of any given name
Args:
name (str): the name of the definition
stmt (ast.stmt): the definition statement, like a function def
"""
if name not in self.definitions:
self.definitions[name] = stmt
def get_definitions(self) -> list[ast.stmt]:
"""Get the list of definitions
Returns:
list[ast.stmt]: the list of definitions
"""
return list(self.definitions.values())
def get_assertions(self) -> list[Assertion]:
"""Get the list of assertions
Returns:
list[Assertion]: the list of assertions
"""
return self.assertions
def get_assertions_for(self, expr: p.Expr) -> list[Assertion]:
"""Get the list of assertions bound to a given expression
Args:
expr (p.Expr): the expression
Returns:
list[Assertion]: the list of assertions bound to `expr`
"""
return list(filter(lambda a: a.is_bound_to(expr), self.assertions))

View File

@@ -5,6 +5,7 @@ import midas.ast.midas as m
from midas.checker.registry import TypesRegistry
from midas.checker.types import (
Function,
ParamSpec,
Predicate,
Type,
to_annotation,
@@ -17,14 +18,14 @@ LOGICAL_OPERATORS: dict[TokenType, type[ast.boolop]] = {
}
BINARY_OPERATORS: dict[TokenType, type[ast.operator]] = {
# TokenType.PLUS: ast.Add,
TokenType.PLUS: ast.Add,
TokenType.MINUS: ast.Sub,
TokenType.STAR: ast.Mult,
TokenType.SLASH: ast.Div,
}
UNARY_OPERATORS: dict[TokenType, type[ast.unaryop]] = {
# TokenType.PLUS: ast.UAdd,
TokenType.PLUS: ast.UAdd,
TokenType.MINUS: ast.USub,
}
@@ -39,6 +40,8 @@ COMPARISON_OPERATORS: dict[TokenType, type[ast.cmpop]] = {
class ConstraintGenerator(m.Expr.Visitor[ast.expr]):
"""Class to generate Python code for constraint expressions"""
def __init__(self, types: TypesRegistry):
self.types: TypesRegistry = types
self._id: int = 0
@@ -46,24 +49,37 @@ class ConstraintGenerator(m.Expr.Visitor[ast.expr]):
self._aliases: dict[str, str] = {}
def get_definitions(self) -> list[ast.stmt]:
"""Get the list of definitions
Returns:
list[ast.stmt]: the list of definitions
"""
return self._definitions
def generate(self, expr: m.Expr) -> ast.expr:
"""Translate the given Midas expression to a Python expression
Args:
expr (m.Expr): the expression to translate
Returns:
ast.expr: the equivalent Python expression
"""
match expr:
case m.VariableExpr():
return expr.accept(self)
case _:
func = Function(
pos_args=[],
args=[
Function.Argument(
pos=0,
name="_",
type=self.types.get_type("Any"),
required=True,
)
],
kw_args=[],
params=ParamSpec(
mixed=[
Function.Parameter(
pos=0,
name="_",
type=self.types.get_type("Any"),
required=True,
)
],
),
returns=self.types.get_type("bool"),
)
alias: str = self.make_alias(None)
@@ -74,6 +90,14 @@ class ConstraintGenerator(m.Expr.Visitor[ast.expr]):
return ast.Name(id=alias)
def make_alias(self, name: Optional[str]) -> str:
"""Get a unique alias for a predicate
Args:
name (Optional[str]): the name of the predicate as defined by the user
Returns:
str: a unique name
"""
suffix: str
if name is None:
suffix = f"p{self._id}"
@@ -84,6 +108,15 @@ class ConstraintGenerator(m.Expr.Visitor[ast.expr]):
return alias
def make_definition(self, name: str, predicate: Predicate) -> ast.stmt:
"""Translate the given predicate to a Python definition (or assignment)
Args:
name (str): the name of the predicate
predicate (Predicate): the predicate
Returns:
ast.stmt: the equivalent Python statement
"""
body: ast.expr = predicate.body.accept(self)
if predicate.alias:
return ast.Assign(
@@ -94,28 +127,36 @@ class ConstraintGenerator(m.Expr.Visitor[ast.expr]):
)
return self.make_func(name, [ast.Return(value=body)], predicate.type)
def make_args(self, func: Function) -> ast.arguments:
def make_args(self, params: ParamSpec) -> ast.arguments:
"""Translate the given parameter spec into an `ast.arguments` node
Args:
params (ParamSpec): the parameter spec to translate
Returns:
ast.arguments: the equivalent `ast.arguments`
"""
return ast.arguments(
posonlyargs=[
ast.arg(
arg=arg.name,
annotation=ast.Constant(value=to_annotation(arg.type)),
arg=param.name,
annotation=ast.Constant(value=to_annotation(param.type)),
)
for arg in func.pos_args
for param in params.pos
],
args=[
ast.arg(
arg=arg.name,
annotation=ast.Constant(value=to_annotation(arg.type)),
arg=param.name,
annotation=ast.Constant(value=to_annotation(param.type)),
)
for arg in func.args
for param in params.mixed
],
kwonlyargs=[
ast.arg(
arg=arg.name,
annotation=ast.Constant(value=to_annotation(arg.type)),
arg=param.name,
annotation=ast.Constant(value=to_annotation(param.type)),
)
for arg in func.kw_args
for param in params.kw
],
defaults=[],
kw_defaults=[],
@@ -124,12 +165,39 @@ class ConstraintGenerator(m.Expr.Visitor[ast.expr]):
def make_func(
self, name: str, inner_body: list[ast.stmt], type: Type, level: int = 0
) -> ast.stmt:
"""Generate a Python function def with the given name, body and signature
If `type` returns a function, the curried arguments are separated into
inner methods.
For example, if `type` is `(a: int) -> (b: int) -> (c: int) -> int`, the
following function would be generated:
```python
def predicate(a: int):
def inner0(b: int):
def inner1(c: int):
return ...
return inner1
return inner0
```
Args:
name (str): the name of the outer function
inner_body (list[ast.stmt]): the body of the innermost function
type (Type): the function type / signature
level (int, optional): the current nesting level. Defaults to 0.
Raises:
ValueError: if `type` is not a function
Returns:
ast.stmt: the equivalent Python function definition
"""
match type:
case Function(returns=Function()):
case Function(params=params, returns=Function()):
inner_name: str = f"inner{level}"
return ast.FunctionDef(
name=name,
args=self.make_args(type),
args=self.make_args(params),
body=[
self.make_func(inner_name, inner_body, type.returns, level + 1),
ast.Return(value=ast.Name(id=inner_name)),
@@ -138,10 +206,10 @@ class ConstraintGenerator(m.Expr.Visitor[ast.expr]):
decorator_list=[],
)
case Function():
case Function(params=params):
return ast.FunctionDef(
name=name,
args=self.make_args(type),
args=self.make_args(params),
body=inner_body,
returns=ast.Constant(value=to_annotation(type.returns)),
decorator_list=[],
@@ -151,6 +219,18 @@ class ConstraintGenerator(m.Expr.Visitor[ast.expr]):
raise ValueError(f"Expected function, got {type!r}")
def get_predicate(self, name: str) -> Optional[ast.expr]:
"""Get a predicate's alias, and generate its definition if first reference
When calling this function for the first time for a given predicate,
a Python definition and an alias are generated. Subsequent calls only
return the alias, without re-generating the predicate's definition
Args:
name (str): the predicate's name
Returns:
Optional[ast.expr]: the predicate's alias, or `None` if it is not defined
"""
if name not in self._aliases:
predicate: Optional[Predicate] = self.types.lookup_predicate(name)
if predicate is None:

File diff suppressed because it is too large Load Diff

View File

@@ -4,16 +4,22 @@ 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,
ColumnGroupBy,
ColumnType,
ComplexType,
ConstraintType,
DataFrameType,
DerivedType,
ExtensionType,
FrameGroupBy,
Function,
GenericType,
OverloadedFunction,
ParamSpec,
TopType,
TupleType,
Type,
TypeVar,
UnitType,
@@ -26,18 +32,27 @@ Empty = ast.Constant(value=...)
class StubsGenerator:
"""A class to generate Python stubs for user-defined Midas types"""
def __init__(self, types: TypesRegistry) -> None:
self.types: TypesRegistry = types
self.stubs: list[ast.stmt] = []
self.typing_imports: set[str] = set()
self.import_pandas: bool = False
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:
"""Generate a Python module of stubs for all user-defined types
Returns:
ast.Module: the generated module
"""
self.stubs = []
self.typing_imports = set()
self.import_pandas = False
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
@@ -53,7 +68,7 @@ class StubsGenerator:
continue
self.generate_stub(name, type)
imports = [
imports: list[ast.stmt] = [
ast.ImportFrom(
module="__future__",
names=[ast.alias(name="annotations")],
@@ -70,11 +85,43 @@ class StubsGenerator:
level=0,
)
)
if self.import_pandas:
imports.append(
ast.Import(
names=[
ast.alias(
name="pandas",
asname="pd",
)
],
)
)
return ast.Module(body=imports + self.stubs, type_ignores=[])
def generate_stub(self, name: str, type: Type):
"""Generate a stub for the given type
Args:
name (str): the name of the type
type (Type): the type
"""
base_type: Type = type
# TODO: improve
match type:
case DerivedType(name=name_) | GenericType(name=name_) if name_ == name:
pass
case UnitType() if name == "None":
pass
case TopType() if name == "Any":
pass
case _:
alias = ast.Assign(
targets=[ast.Name(id=name)], value=self.dump_type(type)
)
self.add_stub(alias)
return
members: dict[str, Member] = self.types._members.get(name, {})
if isinstance(base_type, (BaseType, TopType, UnitType)) and len(members) == 0:
return
@@ -95,8 +142,19 @@ class StubsGenerator:
self.add_stub(stub)
def get_bases(self, type: Type) -> tuple[list[ast.expr], dict[str, Type]]:
"""Get the list of class bases and type parameter substitutions for a type
Args:
type (Type): the type whose bases to get
Returns:
tuple[list[ast.expr], dict[str, Type]]: a tuple containing the list
of class bases (already translated to Python AST nodes), and a
mapping of type parameter substitutions (to replace them with
their generated aliases)
"""
match type:
case AliasType(type=base):
case DerivedType(type=base):
return [self.dump_type(base)], {}
case GenericType(params=params, body=body):
@@ -139,6 +197,16 @@ class StubsGenerator:
def generate_body(
self, members: dict[str, Member], substitutions: dict[str, Type]
) -> list[ast.stmt]:
"""Generate a class body given its members
Args:
members (dict[str, Member]): the class members
substitutions (dict[str, Type]): a mapping of type parameter
substitutions (to replace them with their generated aliases)
Returns:
list[ast.stmt]: the generated class body statements
"""
if len(members) == 0:
return [ast.Expr(value=Empty)]
@@ -160,8 +228,16 @@ class StubsGenerator:
return body
def dump_type(self, type: Type) -> ast.expr:
"""Translate a type to a Python expression
Args:
type (Type): the type to translate
Returns:
ast.expr: the generated Python expression
"""
match type:
case AliasType(name=name) | GenericType(name=name) if (
case DerivedType(name=name) | GenericType(name=name) if (
name in self.substitutions
):
type = substitute_typevars(type, self.substitutions[name])
@@ -174,7 +250,7 @@ class StubsGenerator:
case BaseType(name=name):
return ast.Name(id=name)
case AliasType(name=name):
case DerivedType(name=name):
return ast.Name(id=name)
case UnitType():
@@ -231,12 +307,71 @@ class StubsGenerator:
case ConstraintType():
return self.dump_type(type.type)
case TupleType(items=items):
return ast.Subscript(
value=ast.Name(id="tuple"),
slice=ast.Tuple(
elts=[self.dump_type(item) for item in items],
),
)
case ColumnType():
self.import_pandas = True
return ast.Attribute(
value=ast.Name(id="pd"),
attr="Series",
)
case DataFrameType():
self.import_pandas = True
return ast.Attribute(
value=ast.Name(id="pd"),
attr="DataFrame",
)
case FrameGroupBy():
self.import_pandas = True
return ast.Attribute(
value=ast.Attribute(
value=ast.Attribute(
value=ast.Name(id="pd"),
attr="api",
),
attr="typing",
),
attr="DataFrameGroupBy",
)
case ColumnGroupBy():
self.import_pandas = True
return ast.Attribute(
value=ast.Attribute(
value=ast.Attribute(
value=ast.Name(id="pd"),
attr="api",
),
attr="typing",
),
attr="SeriesGroupBy",
)
case _:
assert_never(type)
def dump_method(
self, name: str, method: Type, overloaded: bool = False
) -> list[ast.stmt]:
"""Generate definitions for a method
Args:
name (str): the method's name
method (Type): the method's type
overloaded (bool, optional): whether this method is part of an
overloaded method (used when called recursively). Defaults to False.
Returns:
list[ast.stmt]: the generated function definitions
"""
match method:
case Function():
if overloaded:
@@ -244,7 +379,7 @@ class StubsGenerator:
return [
ast.FunctionDef(
name=name,
args=self.dump_args(method, with_self=True),
args=self.dump_params(method.params, with_self=True),
returns=self.dump_type(method.returns),
body=[ast.Expr(value=Empty)],
decorator_list=[ast.Name(id="overload")] if overloaded else [],
@@ -264,24 +399,43 @@ class StubsGenerator:
)
]
def dump_args(self, func: Function, with_self: bool = False) -> ast.arguments:
def dump_params(self, params: ParamSpec, with_self: bool = False) -> ast.arguments:
"""Generate an `ast.arguments` node for the given parameter spec
Args:
params (ParamSpec): the parameter spec to translate
with_self (bool, optional): whether to include a `self` parameter.
Defaults to False.
Returns:
ast.arguments: the generate Python AST node
"""
pos: list[ast.arg] = [
ast.arg(arg=f"_{arg.pos}", annotation=self.dump_type(arg.type))
for arg in func.pos_args
ast.arg(
arg=f"_{param.pos}",
annotation=self.dump_type(param.type),
)
for param in params.pos
]
mixed: list[ast.arg] = [
ast.arg(arg=arg.name, annotation=self.dump_type(arg.type))
for arg in func.args
ast.arg(
arg=param.name,
annotation=self.dump_type(param.type),
)
for param in params.mixed
]
kw: list[ast.arg] = [
ast.arg(arg=arg.name, annotation=self.dump_type(arg.type))
for arg in func.kw_args
ast.arg(
arg=param.name,
annotation=self.dump_type(param.type),
)
for param in params.kw
]
defaults: list[ast.expr] = [
Empty for arg in func.pos_args + func.args if not arg.required
Empty for param in params.pos + params.mixed if not param.required
]
kw_defaults: list[Optional[ast.expr]] = [
None if arg.required else Empty for arg in func.kw_args
None if param.required else Empty for param in params.kw
]
if with_self:
arg = ast.arg(arg="self", annotation=None)
@@ -298,6 +452,14 @@ class StubsGenerator:
)
def define_protocol(self, func: Function) -> str:
"""Generate a :class:`Protocol` to use in a function stub
Args:
func (Function): the function signature to define
Returns:
str: the name of the generated protocol
"""
self.add_typing_import("Protocol")
name: str = self.new_protocol_name()
protocol = ast.ClassDef(
@@ -307,7 +469,7 @@ class StubsGenerator:
body=[
ast.FunctionDef(
name="__call__",
args=self.dump_args(func, with_self=True),
args=self.dump_params(func.params, with_self=True),
returns=self.dump_type(func.returns),
body=[ast.Expr(value=Empty)],
decorator_list=[],
@@ -319,33 +481,74 @@ class StubsGenerator:
return name
def new_protocol_name(self) -> str:
"""Get a unique protocol name
Returns:
str: the unique protocol name
"""
name: str = f"_Protocol{self.protocol_idx}"
self.protocol_idx += 1
return name
def new_stub_name(self) -> str:
"""Get a unique stub name
Returns:
str: the unique stub name
"""
name: str = f"_Stub_{self.stub_idx}"
self.stub_idx += 1
return name
def new_type_var_name(self) -> str:
"""Get a unique type variable name
Returns:
str: the unique type variable name
"""
name: str = f"_T{self.type_var_idx}"
self.type_var_idx += 1
return name
def add_stub(self, stub: ast.stmt):
"""Append the given statement to the output
Args:
stub (ast.stmt): the statement to append
"""
self.stubs.append(stub)
def add_typing_import(self, name: str):
"""Add the given name to the list of names to import from `typing`
Args:
name (str): the name to import
"""
self.typing_imports.add(name)
def define_type_vars(self, vars: list[TypeVar]) -> list[TypeVar]:
"""Define aliases for the given type variables
Args:
vars (list[TypeVar]): the variables to define
Returns:
list[TypeVar]: new type variables named with the generated aliases
"""
vars2: list[TypeVar] = []
for var in vars:
vars2.append(self.define_type_var(var))
return vars2
def define_type_var(self, var: TypeVar) -> TypeVar:
"""Define a type variable alias
Args:
var (TypeVar): the type variable to define
Returns:
TypeVar: a new type variable named with a uniquely generated alias
"""
name: str = self.new_type_var_name()
self.add_typing_import("TypeVar")

View File

@@ -16,9 +16,10 @@ class Lexer(ABC):
"""An abstract lexer which provides methods to easily extend it into a concrete one
This implementation is based on the [_Crafting Interpreters_][1] book by Robert Nystrom,
more specifically on my [previous Python implementation](https://git.kb28.ch/HEL/pebble)
more specifically on my [previous Python implementation][2]
[1]: https://craftinginterpreters.com/
[2]: https://git.kb28.ch/HEL/pebble
"""
def __init__(self, source: str, file: Optional[str] = None) -> None:
@@ -168,6 +169,6 @@ class Lexer(ABC):
def scan_token(self) -> None:
"""Scan a token
This function should (at least) consume the current character and produce the appropriate token(s), using `add_token`
This function should (at least) consume the current character and produce the appropriate token(s), using :func:`add_token`
"""
pass

View File

@@ -32,6 +32,8 @@ class MidasLexer(Lexer):
)
case "!" if self.match("="):
self.add_token(TokenType.BANG_EQUAL)
case "!":
self.add_token(TokenType.BANG)
case ":":
self.add_token(TokenType.COLON)
case ".":
@@ -46,8 +48,8 @@ class MidasLexer(Lexer):
self.add_token(TokenType.UNDERSCORE)
case "-" if self.match(">"):
self.add_token(TokenType.ARROW)
# case "+":
# self.add_token(TokenType.PLUS)
case "+":
self.add_token(TokenType.PLUS)
case "-":
self.add_token(TokenType.MINUS)
case "*":
@@ -81,6 +83,12 @@ class MidasLexer(Lexer):
return None
def scan_string(self, opening: str):
"""Scan the rest of a string and add it as a token
Args:
opening (str): the opening quote or double quote, to be matched
at the end of the string
"""
while self.peek() != opening and not self.is_at_end():
self.advance()
@@ -100,12 +108,15 @@ class MidasLexer(Lexer):
while self.peek().isdigit():
self.advance()
is_float: bool = False
if self.peek() == "." and self.peek_next().isdigit():
is_float = True
self.advance()
while self.peek().isdigit():
self.advance()
value: float = float(self.source[self.start : self.idx])
value_str: str = self.source[self.start : self.idx]
value: int | float = float(value_str) if is_float else int(value_str)
self.add_token(TokenType.NUMBER, value)
def scan_identifier(self):
@@ -147,6 +158,18 @@ class MidasLexer(Lexer):
self.add_token(TokenType.COMMENT)
def is_identifier_char(self, char: str, *, start: bool) -> bool:
"""Check whether a character is a valid as part of an identifier
Identifiers can contain any alphanumerical character or underscore.
They cannot start with a digit.
Args:
char (str): the character to check
start (bool): whether this is the first character of the identifier
Returns:
bool: `True` if the character is valid, `False` otherwise
"""
if char == "_":
return True
if char.isalpha():

View File

@@ -25,7 +25,7 @@ class TokenType(Enum):
DOT = auto()
# Operators
# PLUS = auto()
PLUS = auto()
MINUS = auto()
STAR = auto()
SLASH = auto()
@@ -36,6 +36,7 @@ class TokenType(Enum):
EQUAL = auto()
EQUAL_EQUAL = auto()
BANG_EQUAL = auto()
BANG = auto()
# Literals
IDENTIFIER = auto()
@@ -47,6 +48,7 @@ class TokenType(Enum):
# Keywords
TYPE = auto()
ALIAS = auto()
PREDICATE = auto()
EXTEND = auto()
WHERE = auto()
@@ -63,6 +65,7 @@ class TokenType(Enum):
KEYWORDS: dict[str, TokenType] = {
"type": TokenType.TYPE,
"alias": TokenType.ALIAS,
"predicate": TokenType.PREDICATE,
"extend": TokenType.EXTEND,
"where": TokenType.WHERE,
@@ -102,6 +105,15 @@ class Token:
)
def location_to(self, to: Token) -> Location:
"""Create a new :class:`Location` spanning from this token to another
Args:
to (Token): the end token
Returns:
Location: a new :class:`Location` starting at this token and ending
at `to`, both included
"""
return Location.span(self.get_location(), to.get_location())
@property

View File

@@ -16,6 +16,9 @@ class TokenError:
def get_report(self) -> str:
"""Get a detailed error message
The error message is formatted as "(<position>) Error at <token>: <message>".
For example: "(L2:5) Error at '3': Expected ')' after arguments."
Returns:
str: the complete error message
"""
@@ -32,9 +35,10 @@ class Parser(ABC, Generic[T]):
"""An abstract parser which provides methods to easily extend it into a concrete one
This implementation is based on the [_Crafting Interpreters_][1] book by Robert Nystrom,
more specifically on my [previous Python implementation](https://git.kb28.ch/HEL/pebble)
more specifically on my [previous Python implementation][2]
[1]: https://craftinginterpreters.com/
[2]: https://git.kb28.ch/HEL/pebble
"""
IGNORE: set[TokenType] = {
@@ -173,7 +177,7 @@ class Parser(ABC, Generic[T]):
error_msg (str): the error message if the token doesn't match
Raises:
SyntaxError: if the current token doesn't match the given type
ParsingError: if the current token doesn't match the given type
Returns:
Token: the current token which matched the given type

View File

@@ -2,6 +2,7 @@ from typing import Optional
from midas.ast.location import Location
from midas.ast.midas import (
AliasStmt,
BinaryExpr,
CallExpr,
ComplexType,
@@ -9,6 +10,7 @@ from midas.ast.midas import (
Expr,
ExtendStmt,
ExtensionType,
FrameType,
FunctionType,
GenericType,
GetExpr,
@@ -33,10 +35,11 @@ from midas.parser.base import Parser
from midas.parser.errors import ParsingError
class MidasParser(Parser):
class MidasParser(Parser[list[Stmt]]):
"""A simple parser for midas type definitions"""
SYNC_BOUNDARY: set[TokenType] = {
TokenType.ALIAS,
TokenType.TYPE,
TokenType.EXTEND,
TokenType.PREDICATE,
@@ -71,14 +74,16 @@ class MidasParser(Parser):
def declaration(self) -> Optional[Stmt]:
"""Try and parse a declaration
Any parsing error is caught and None is returned
Any parsing error is caught and `None` is returned
Returns:
Optional[Stmt]: the parsed Midas statement, or None if a ParsingError was raised
Optional[Stmt]: the parsed Midas statement, or `None` if a ParsingError was raised
"""
try:
if self.match(TokenType.TYPE):
return self.type_declaration()
if self.match(TokenType.ALIAS):
return self.alias_declaration()
if self.match(TokenType.EXTEND):
return self.extend_declaration()
if self.match(TokenType.PREDICATE):
@@ -91,23 +96,14 @@ class MidasParser(Parser):
def type_declaration(self) -> TypeStmt:
"""Parse a type declaration
A type declaration can either be a simple type alias or a new complex type.
In either case, it can have an optional template expression after its name, wrapped in brackets.
A simple type alias is derived from a base type expression, and can have a optional constraint expression preceded by the `where` keyword.
A full simple type alias is thus written:
```
type Name[Template](TypeExpr) where Condition
```
A type declaration creates a named subtype of a type expression.
It can have an optional template expression after its name, wrapped in brackets, to handle type parameters.
A new complex type has a set of properties which are named, have a type and an optional constraint expression (also preceded by the `where` keyword).
A full complex type definition is thus written:
```
type Name[Template] {
prop1: TypeExpr1 where Condition1
prop2: TypeExpr2 where Condition2
...
}
```
A type statement consists of:
- the `type` keyword
- a name (identifier)
- (optional) type parameters
- a body, a type expression (see :func:`type_expr`)
Returns:
TypeStmt: the parsed type declaration statement
@@ -158,11 +154,35 @@ class MidasParser(Parser):
self.consume(TokenType.RIGHT_BRACKET, "Missing ']' after type parameters")
return params
def alias_declaration(self) -> AliasStmt:
"""Parse an alias declaration
An alias statement consists of:
- the `alias` keyword
- a name (identifier)
- a body, a type expression (see :func:`type_expr`)
Returns:
AliasStmt: the parsed alias declaration statement
"""
keyword: Token = self.previous()
name: Token = self.consume_identifier("Expected alias name")
self.consume(TokenType.EQUAL, "Expected '=' before alias definition")
type: Type = self.type_expr()
return AliasStmt(
location=keyword.location_to(self.previous()),
name=name,
type=type,
)
def type_expr(self) -> Type:
"""Parse a type expression
A type is an identifier, optionally followed by a template expression.
It can also optionally be followed by a '?' to indicate a nullable type
A type expression can either be a function type (see :func:`function`)
or a constraint type (see :func:`constraint_type`)
Returns:
TypeExpr: the parsed type expression
@@ -182,6 +202,15 @@ class MidasParser(Parser):
return base
def constraint_type(self) -> Type:
"""Parse a constraint type expression
A constraint type consists of a base type (see :func:`base_type`),
optionally followed by the `where` keyword and a constraint
expression (see :func:`constraint`)
Returns:
Type: the parsed constraint type expression
"""
type: Type = self.base_type()
if self.match(TokenType.WHERE):
constraint: Expr = self.constraint()
@@ -193,6 +222,14 @@ class MidasParser(Parser):
return type
def base_type(self) -> Type:
"""Parse a base type expression
A base type is either a parenthesized type expression (see :func:`type_expr`)
or a generic type (see :func:`generic_type`)
Returns:
Type: the parsed base type expression
"""
if self.match(TokenType.LEFT_PAREN):
type: Type = self.type_expr()
self.consume(TokenType.RIGHT_PAREN, "Unclosed parenthesis")
@@ -204,8 +241,21 @@ class MidasParser(Parser):
return self.generic_type()
def generic_type(self) -> Type:
type: Type = self.named_type()
"""Parse a generic type expression
A generic type consists of a named type (see :func:`named_type`),
optionally followed by type arguments in brackets.
The special `Frame` type accepts a frame schema instead of type
arguments (see :func:`frame_type`).
Returns:
Type: the parsed generic type
"""
type: NamedType = self.named_type()
if self.check(TokenType.LEFT_BRACKET):
if type.name.lexeme == "Frame":
return self.frame_type()
args: list[Type] = self.type_args()
return GenericType(
location=Location.span(type.location, self.previous().get_location()),
@@ -215,6 +265,13 @@ class MidasParser(Parser):
return type
def type_args(self) -> list[Type]:
"""Parse a list of type arguments
Type arguments are a comma-separated list of type expression wrapped in brackets.
Returns:
list[Type]: the list of type arguments, if any, or an empty list
"""
args: list[Type] = []
self.consume(TokenType.LEFT_BRACKET, "Missing '[' before generic arguments")
while not self.is_at_end() and not self.check(TokenType.RIGHT_BRACKET):
@@ -224,7 +281,14 @@ class MidasParser(Parser):
self.consume(TokenType.RIGHT_BRACKET, "Missing ']' after generic arguments")
return args
def named_type(self) -> Type:
def named_type(self) -> NamedType:
"""Parse a named type expression
A named type is an identifier token
Returns:
NamedType: the parsed named type expression
"""
name: Token = self.consume_identifier("Expected type name")
return NamedType(
location=name.get_location(),
@@ -232,13 +296,13 @@ class MidasParser(Parser):
)
def complex_type(self) -> ComplexType:
"""Parse a type definition body
"""Parse a complex type expression
A type definition body is a set of whitespace-separated
property statements enclosed in curly braces
A complex type consists of zero or more member statements enclosed in
curly braces
Returns:
ComplexType: the parsed complex type
ComplexType: the parsed complex type expression
"""
left: Token = self.consume(
TokenType.LEFT_BRACE, "Expected '{' to start type body"
@@ -259,10 +323,50 @@ class MidasParser(Parser):
members=members,
)
def constraint(self) -> Expr:
"""Parse a constraint
def frame_type(self) -> FrameType:
"""Parse a frame type expression
A constraint is basically a logical predicate
A frame type consists of:
- the `Frame` identifier
- an opening bracket `[`
- a list of comma-separated column expression consisting of:
- a name (token)
- a colon `:`
- a type expression (see :func:`type_expr`)
- a closing bracket `]`
Returns:
FrameType: the parsed frame type
"""
keyword: Token = self.previous()
self.consume(TokenType.LEFT_BRACKET, "Expected '[' to start frame schema")
columns: list[FrameType.Column] = []
while not self.check(TokenType.RIGHT_BRACKET) and not self.is_at_end():
name: Token = self.advance()
self.consume(TokenType.COLON, "Expected ':' between column name and type")
type: Type = self.type_expr()
columns.append(
FrameType.Column(
location=name.location_to(self.previous()),
name=name,
type=type,
)
)
if not self.match(TokenType.COMMA):
break
self.consume(TokenType.RIGHT_BRACKET, "Unclosed frame schema")
return FrameType(
location=keyword.location_to(self.previous()),
columns=columns,
)
def constraint(self) -> Expr:
"""Parse a constraint expression
A constraint is an expression (see :func:`expression`)
Returns:
Expr: the parsed constraint expression
@@ -270,10 +374,20 @@ class MidasParser(Parser):
return self.expression()
def expression(self) -> Expr:
"""Parse an expression
An expression consists of a logical AND expression (see :func:`and_`)
Returns:
Expr: the parsed expression
"""
return self.and_()
def and_(self) -> Expr:
"""Parse a logical AND expression or a simpler expression
"""Parse a logical AND expression
An AND consists of one or more equality expressions (see :func:`equality`)
separated by logical AND operators (`&`)
Returns:
Expr: the parsed expression
@@ -289,7 +403,10 @@ class MidasParser(Parser):
return expr
def equality(self) -> Expr:
"""Parse a logical equality expression or a simpler expression
"""Parse an equality expression
An equality consists of one or more comparison expressions (see :func:`comparison`)
separated by equality operators (`==`, `!=`)
Returns:
Expr: the parsed expression
@@ -305,18 +422,59 @@ class MidasParser(Parser):
return expr
def comparison(self) -> Expr:
"""Parse a logical comparison expression or a simpler expression
"""Parse a comparison expression
A comparison consists of one or more term expressions (see :func:`term`)
separated by comparison operators (`<`, `<=`, `>`, `>=`)
Returns:
Expr: the parsed expression
"""
expr: Expr = self.unary()
expr: Expr = self.term()
while self.match(
TokenType.LESS,
TokenType.LESS_EQUAL,
TokenType.GREATER,
TokenType.GREATER_EQUAL,
):
operator: Token = self.previous()
right: Expr = self.term()
location: Location = Location.span(expr.location, right.location)
expr = BinaryExpr(
location=location, left=expr, operator=operator, right=right
)
return expr
def term(self) -> Expr:
"""Parse a term expression
A term consists of one or more factor expressions (see :func:`factor`)
separated by weak arithmetic operators (`+`, `-`)
Returns:
Expr: the parsed expression
"""
expr: Expr = self.factor()
while self.match(TokenType.PLUS, TokenType.MINUS):
operator: Token = self.previous()
right: Expr = self.factor()
location: Location = Location.span(expr.location, right.location)
expr = BinaryExpr(
location=location, left=expr, operator=operator, right=right
)
return expr
def factor(self) -> Expr:
"""Parse a factor expression
A factor consists of one or more unary expressions (see :func:`unary`)
separated by strong arithmetic operators (`*`, `/`)
Returns:
Expr: the parsed expression
"""
expr: Expr = self.unary()
while self.match(TokenType.STAR, TokenType.SLASH):
operator: Token = self.previous()
right: Expr = self.unary()
location: Location = Location.span(expr.location, right.location)
@@ -326,12 +484,15 @@ class MidasParser(Parser):
return expr
def unary(self) -> Expr:
"""Parse a unary expression or a simpler expression
"""Parse a unary expression
A unary consists of a call expression (see :func:`call`) optionally
preceded by zero or more unary operators (`+`, `-`, `!`)
Returns:
Expr: the parsed expression
"""
if self.match(TokenType.MINUS):
if self.match(TokenType.PLUS, TokenType.MINUS, TokenType.BANG):
operator: Token = self.previous()
right: Expr = self.unary()
location: Location = Location.span(operator.get_location(), right.location)
@@ -339,16 +500,48 @@ class MidasParser(Parser):
return self.call()
def call(self) -> Expr:
"""Parse a call expression
A call consists of a reference expression (see :func:`reference`)
optionally followed by zero or more argument groups.
Argument groups are parenthesize, comma-separated list of arguments (see :func:`finish_call`)
Returns:
Expr: the parsed expression
"""
expr: Expr = self.reference()
while self.match(TokenType.LEFT_PAREN):
expr = self.finish_call(expr)
return expr
def finish_call(self, callee: Expr) -> Expr:
"""Parse an argument group, i.e. the arguments of a call
Arguments are either passed positionally or by name (keyword argument).
All positional arguments must come before any keyword argument and
vice-versa. Arguments are separated by commas.
A positional argument simply consists of an expression (see :func:`expression`)
A keyword argument consists of and identifier, followed by the equal `=`
token and an expression (see :func:`expression`).
Args:
callee (Expr): the callee expression
Raises:
ParsingError: if a positional argument is passed after a keyword
argument or if a keyword argument's name is invalid (i.e. not
an identifier)
Returns:
Expr: the parsed call expression
"""
pos_args: list[Expr] = []
kw_args: dict[str, Expr] = {}
keywords: bool = False
while not self.match(TokenType.RIGHT_PAREN):
while not self.check(TokenType.RIGHT_PAREN):
if self.check_identifier() and self.check_next(TokenType.EQUAL):
keywords = True
keyword: Token = self.advance()
@@ -364,13 +557,14 @@ class MidasParser(Parser):
else:
value = self.expression()
if self.check(TokenType.EQUAL):
error_msg: str
if keywords:
raise self.error(self.peek(), "Invalid keyword argument name")
error_msg = "Invalid keyword argument name"
else:
raise self.error(
self.peek(),
"Cannot pass positional arguments after a keyword argument",
error_msg = (
"Cannot pass positional arguments after a keyword argument"
)
raise self.error(self.peek(), error_msg)
pos_args.append(value)
if not self.match(TokenType.COMMA):
@@ -387,7 +581,12 @@ class MidasParser(Parser):
)
def reference(self) -> Expr:
"""Parse an attribute access expression or a simpler expression
"""Parse a reference expression
A reference consists of a primary expression (see :func:`primary`)
optionally followed by zero or more attribute accesses.
An attribute access consists of a dot `.` token followed by an identifier
Returns:
Expr: the parsed expression
@@ -402,7 +601,12 @@ class MidasParser(Parser):
def primary(self) -> Expr:
"""Parse a primary expression
This includes literals (booleans, numbers, etc.), wildcards, identifiers and grouped expressions
This includes literals (booleans, numbers, etc.), wildcards, identifiers
and grouped expressions
Raises:
ParsingError: if a primary expressions cannot be parsed from the
following tokens
Returns:
Expr: the parsed expression
@@ -435,14 +639,41 @@ class MidasParser(Parser):
raise self.error(self.peek(), "Expected expression")
def consume_identifier(self, message: str = "Expected identifier") -> Token:
"""Consume the current token if it is a valid identifier or raise an error (see :func:`check_identifier`)
If the current token is not a valid identifier, an error is raised
with the provided message
Args:
message (str, optional): the error message. Defaults to "Expected identifier".
Raises:
ParsingError: if the current token is not a valid identifier
Returns:
Token: the current token which is a valid identifier
"""
if not self.match_identifier():
raise self.error(self.peek(), message)
return self.previous()
def match_identifier(self) -> bool:
"""Consume the next token if it is a valid identifier (see :func:`check_identifier`)
Returns:
bool: whether a token was matched and consumed
"""
return self.match(TokenType.IDENTIFIER, *KEYWORDS.values())
def check_identifier(self) -> bool:
"""Check whether the current token is a valid identifier
A valid identifier is either an identifier token or a keyword token.
This function always returns False if the parser is at the EOF token
Returns:
bool: True if the current token is a valid identifier and not EOF
"""
for tt in [TokenType.IDENTIFIER, *KEYWORDS.values()]:
if self.check(tt):
return True
@@ -451,7 +682,14 @@ class MidasParser(Parser):
def member_stmt(self) -> MemberStmt:
"""Parse a member statement
A type member statement is written `prop name: Type` or `def name: Type`
A member statement is written consists of:
- the `prop` (for a property) or `def` (for a method) keyword
- an name (identifier)
- a colon `:`
- a type expression (see :func:`type_expr`)
Raises:
ParsingError: if the first token is neither `prop` nor `def`
Returns:
MemberStmt: the parsed member statement
@@ -478,7 +716,13 @@ class MidasParser(Parser):
def extend_declaration(self) -> ExtendStmt:
"""Parse an extension definition
An extension is written `extend Type { operations }` or `extend[S <: T, U] Type { operations }`
An extension statement consists of:
- the `extend` keyword
- a type name (identifier)
- (optional) type parameters (see :func:`type_params`)
- an opening brace `{`
- zero or more member statements (see :func:`member_stmt`)
- a closing brace `}`
Returns:
ExtendStmt: the parsed extension statement
@@ -503,7 +747,12 @@ class MidasParser(Parser):
def predicate_declaration(self) -> PredicateStmt:
"""Parse a predicate declaration
A predicate is written `predicate Name(subject: Type) = constraint_expression`
A predicate statement consists of:
- the `predicate` keyword
- a name (identifier)
- (optional) zero or more parameter specs (see :func:`function_params`)
- an equal sign `=`
- a body, a constraint expression (see :func:`constraint`)
Returns:
PredicateStmt: the parsed predicate declaration statement
@@ -514,7 +763,7 @@ class MidasParser(Parser):
params: list[ParamSpec] = []
while self.check(TokenType.LEFT_PAREN):
params.append(self.function_args())
params.append(self.function_params())
self.consume(TokenType.EQUAL, "Expected '=' after predicate subject")
body: Expr = self.constraint()
@@ -526,7 +775,18 @@ class MidasParser(Parser):
)
def function(self) -> FunctionType:
params: ParamSpec = self.function_args()
"""Parse a function type expression
A function consists of:
- the `fn` keyword
- a parameter spec (see :func:`function_params`)
- the arrow keyword `->`
- a result type expression (see :func:`type_expr`)
Returns:
FunctionType: the parsed function type expression
"""
params: ParamSpec = self.function_params()
self.consume(TokenType.ARROW, "Expected '->' before result type")
result: Type = self.type_expr()
@@ -537,36 +797,53 @@ class MidasParser(Parser):
returns=result,
)
def function_args(self) -> ParamSpec:
def function_params(self) -> ParamSpec:
"""Parse a parameter spec
A parameter spec consists of zero or more comma-separated parameters,
wrapped in parentheses.
Like in Python, it can contain positional-only, mixed and keyword-only
parameters (separated by `/` and `*`).
Each parameter has a type (see :func:`type_expr`),
preceded by a name (identifier) and a colon `:` (not required for
positional-only parameters).
Returns:
ParamSpec: the parsed parameter spec
"""
l_paren: Token = self.consume(
TokenType.LEFT_PAREN, "Expected '(' before function parameters"
)
pos_args: list[FunctionType.Argument] = []
args: list[FunctionType.Argument] = []
kw_args: list[FunctionType.Argument] = []
pos: list[FunctionType.Parameter] = []
mixed: list[FunctionType.Parameter] = []
kw: list[FunctionType.Parameter] = []
args_first_tokens: list[Token] = []
mixed_first_tokens: list[Token] = []
section: int = 0
while not self.is_at_end() and not self.check(TokenType.RIGHT_PAREN):
match section:
case 0 if self.match(TokenType.SLASH):
pos_args = args
args = []
args_first_tokens = []
pos = mixed
mixed = []
mixed_first_tokens = []
section = 1
case 0 | 1 if self.match(TokenType.STAR):
section = 2
case _:
# Record first token of mixed argument for errors if unnamed
# Record first token of mixed parameters for errors if unnamed
if section != 2:
args_first_tokens.append(self.peek())
mixed_first_tokens.append(self.peek())
name: Optional[Token] = None
if section == 2:
name = self.consume_identifier("Expected keyword argument name")
name = self.consume_identifier(
"Expected keyword parameter name"
)
self.consume(
TokenType.COLON, "Expected ':' after argument name"
TokenType.COLON, "Expected ':' after parameter name"
)
elif self.check_identifier() and self.check_next(TokenType.COLON):
name = self.advance()
@@ -574,24 +851,24 @@ class MidasParser(Parser):
type: Type = self.type_expr()
optional: bool = self.match(TokenType.QMARK)
arg = FunctionType.Argument(
param = FunctionType.Parameter(
location=None,
name=name,
type=type,
required=not optional,
)
if section == 2:
kw_args.append(arg)
kw.append(param)
else:
args.append(arg)
mixed.append(param)
if not self.match(TokenType.COMMA):
break
for arg, token in zip(args, args_first_tokens):
if arg.name is None:
for param, token in zip(mixed, mixed_first_tokens):
if param.name is None:
# Not raised because we can keep parsing
self.error(token, "Unnamed mixed argument")
self.error(token, "Unnamed mixed parameter")
self.consume(TokenType.RIGHT_PAREN, "Expected ')' after function parameters")
return ParamSpec(l_paren=l_paren, pos=pos_args, mixed=args, kw=kw_args)
return ParamSpec(l_paren=l_paren, pos=pos, mixed=mixed, kw=kw)

View File

@@ -16,13 +16,17 @@ from midas.ast.python import (
ForStmt,
FrameColumn,
FrameType,
FromImportStmt,
Function,
GetExpr,
IfStmt,
ImportAlias,
ImportStmt,
ListExpr,
LiteralExpr,
LogicalExpr,
MidasType,
ParamSpec,
RawExpr,
RawStmt,
ReturnStmt,
@@ -30,6 +34,7 @@ from midas.ast.python import (
Stmt,
SubscriptExpr,
TernaryExpr,
TupleExpr,
TypeAssign,
UnaryExpr,
VariableExpr,
@@ -48,6 +53,8 @@ class UnsupportedSyntaxError(Exception):
class PythonParser:
"""A parser to convert raw Python `ast` nodes in custom IR nodes"""
CAST_FUNCTION = "cast"
UNSAFE_CAST_FUNCTION = "unsafe_cast"
@@ -101,10 +108,34 @@ class PythonParser:
case ast.For(orelse=[]):
return self.parse_for(node)
case ast.Import(names=imports):
return ImportStmt(
location=location,
imports=self._parse_imports(imports),
)
case ast.ImportFrom(module=module, names=imports, level=level):
return FromImportStmt(
location=location,
module=module,
imports=self._parse_imports(imports),
level=level,
)
case _:
print(f"Unsupported statement: {ast.unparse(node)}")
return RawStmt(location=location, stmt=node)
def _parse_imports(self, imports: list[ast.alias]) -> list[ImportAlias]:
return [
ImportAlias(
location=Location.from_ast(import_),
name=import_.name,
alias=import_.asname,
)
for import_ in imports
]
def parse_annotation_assign(self, node: ast.AnnAssign) -> list[Stmt]:
statements: list[Stmt] = []
loc: Location = Location.from_ast(node)
@@ -211,27 +242,10 @@ class PythonParser:
match node:
case ast.FunctionDef(
name=name,
args=ast.arguments(
posonlyargs=posonlyargs,
args=args,
vararg=sink,
kwonlyargs=kwonlyargs,
kwarg=kw_sink,
defaults=defaults,
kw_defaults=kw_defaults,
),
args=args,
returns=returns,
body=raw_body,
):
def parse_args(
args_list: list[ast.arg], defaults: list[Optional[Expr]]
) -> list[Function.Argument]:
return [
self._parse_function_argument(arg, default)
for arg, default in zip(args_list, defaults)
]
body: list[Stmt] = []
for stmt in raw_body:
stmts = self.parse_stmt(stmt)
@@ -240,54 +254,58 @@ class PythonParser:
elif stmts is not None:
body.extend(stmts)
parsed_defaults: list[Optional[Expr]] = [
self.parse_expr(default) for default in defaults
]
n_posargs: int = len(posonlyargs)
n_args: int = len(args)
n_all_posargs = n_posargs + n_args
parsed_defaults = [
None,
] * (n_all_posargs - len(defaults)) + parsed_defaults
posargs_defaults: list[Optional[Expr]] = parsed_defaults[:n_posargs]
args_defaults: list[Optional[Expr]] = parsed_defaults[n_posargs:]
kwargs_defaults: list[Optional[Expr]] = [
self.parse_expr(default) if default is not None else None
for default in kw_defaults
]
return Function(
location=loc,
name=name,
posonlyargs=parse_args(posonlyargs, posargs_defaults),
args=parse_args(args, args_defaults),
sink=(
self._parse_function_argument(sink, None)
if sink is not None
else None
),
kwonlyargs=parse_args(kwonlyargs, kwargs_defaults),
kw_sink=(
self._parse_function_argument(kw_sink, None)
if kw_sink is not None
else None
),
params=self._parse_param_spec(args),
returns=self._parse_type(returns) if returns is not None else None,
body=body,
)
case _:
print(f"Unsupported function definition: {ast.unparse(node)}")
def _parse_function_argument(
def _parse_param_spec(self, args: ast.arguments) -> ParamSpec:
def parse_params(
args_list: list[ast.arg], defaults: list[Optional[Expr]]
) -> list[Function.Parameter]:
return [
self._parse_function_parameter(arg, default)
for arg, default in zip(args_list, defaults)
]
defaults: list[ast.expr] = args.defaults
parsed_defaults: list[Optional[Expr]] = [
self.parse_expr(default) for default in defaults
]
n_pos: int = len(args.posonlyargs)
n_mixed: int = len(args.args)
n_all_pos = n_pos + n_mixed
parsed_defaults = [
None,
] * (n_all_pos - len(defaults)) + parsed_defaults
pos_defaults: list[Optional[Expr]] = parsed_defaults[:n_pos]
mixed_defaults: list[Optional[Expr]] = parsed_defaults[n_pos:]
kw_defaults: list[Optional[Expr]] = [
self.parse_expr(default) if default is not None else None
for default in args.kw_defaults
]
return ParamSpec(
pos=parse_params(args.posonlyargs, pos_defaults),
mixed=parse_params(args.args, mixed_defaults),
kw=parse_params(args.kwonlyargs, kw_defaults),
)
def _parse_function_parameter(
self, arg: ast.arg, default: Optional[Expr]
) -> Function.Argument:
) -> Function.Parameter:
loc: Location = Location.from_ast(arg)
name: str = arg.arg
type: Optional[MidasType] = None
if arg.annotation is not None:
type = self._parse_type(arg.annotation)
return Function.Argument(
return Function.Parameter(
location=loc,
name=name,
type=type,
@@ -300,26 +318,28 @@ class PythonParser:
case ast.Subscript(value=ast.Name(id="Frame"), slice=schema):
return self._parse_frame_type(schema)
case ast.Subscript(value=ast.Name(id=name), slice=param):
case ast.Subscript(value=ast.Name(id=name), slice=arg):
args: tuple[MidasType, ...] = (
tuple(self._parse_type(a) for a in arg.elts)
if isinstance(arg, ast.Tuple)
else (self._parse_type(arg),)
)
return BaseType(
location=loc,
base=name,
param=self._parse_type(param),
args=args,
)
case ast.Name(id=name):
return BaseType(
location=loc,
base=name,
param=None,
args=(),
)
case ast.BinOp(left=left_expr, op=ast.Add(), right=right_expr):
left = self._parse_type(left_expr)
match left:
case None:
raise InvalidSyntaxError()
# If chained constraints, separate base type and rebuild constraint
case ConstraintType(type=left_type, constraint=left_constraint):
constraint = ast.BinOp(
@@ -345,7 +365,7 @@ class PythonParser:
return BaseType(
location=loc,
base="None",
param=None,
args=(),
)
case _:
@@ -477,6 +497,12 @@ class PythonParser:
step=self.parse_expr(step) if step is not None else None,
)
case ast.Tuple(elts=items):
return TupleExpr(
location=location,
items=tuple(self.parse_expr(item) for item in items),
)
case _:
print(f"Unsupported expression: {ast.unparse(node)}")
return RawExpr(location=location, expr=node)

View File

@@ -1,5 +1,8 @@
from typing import Generic, TypeVar
from typing import cast as typing_cast
from pandas import DataFrame, Series
cast = typing_cast
"""### Midas documentation
Cast a value to a type.
@@ -32,3 +35,20 @@ This operation is unsound, use at your own risk!
_**Internal Python documentation**_
"""
T = TypeVar("T")
class Frame(DataFrame, Generic[T]):
"""A `Frame` is the abstract type implemented by `DataFrame`
A frame contains any number of named columns (see :class:`Column`)
"""
class Column(Series, Generic[T]):
"""A `Column` is the abstract type implemented by `Series`
A column contains a any number of values of the same type
"""

View File

@@ -3,6 +3,7 @@ from typing import Any, Callable, Optional
import midas.ast.python as p
from midas.checker.types import Type
from midas.generator.collector import AssertionCollector
AllowRepeat = Callable[[object], bool]
@@ -63,3 +64,4 @@ class TypedAST:
stmts: list[p.Stmt]
judgements: list[tuple[p.Expr, Type]]
evaluated_casts: list[p.CastExpr]
assertions: AssertionCollector

43
tests/__main__.py Normal file
View File

@@ -0,0 +1,43 @@
from typing import Type
from midas.cli.ansi import Ansi
from tests.base import Tester
from tests.checker import CheckerTester
from tests.generator import GeneratorTester
from tests.midas import MidasTester
from tests.python import PythonTester
def print_banner(name: str):
horizontal: str = "+" + "-" * (len(name) + 2) + "+"
print(horizontal)
print(f"| {name} |")
print(horizontal)
def run_tests(tester_cls: Type[Tester]) -> bool:
print_banner(tester_cls.__name__)
tester: Tester = tester_cls()
success: bool = tester.run_all_tests()
print()
return success
def main():
testers: list[Type[Tester]] = [
PythonTester,
MidasTester,
CheckerTester,
GeneratorTester,
]
success: bool = all(list(map(run_tests, testers))) # list to avoid early stop
if success:
print(Ansi.FG(Ansi.BRIGHT_GREEN) + "All tests passed!" + Ansi.RESET)
else:
print(Ansi.FG(Ansi.BRIGHT_RED) + "Some tests failed!" + Ansi.RESET)
if __name__ == "__main__":
main()

View File

@@ -7,6 +7,8 @@ from abc import ABC, abstractmethod
from pathlib import Path
from typing import Iterator, Protocol
from midas.cli.ansi import Ansi
class CaseResult(Protocol):
def dumps(self) -> str: ...
@@ -44,8 +46,11 @@ class Tester(ABC):
print(rule)
for i, test in enumerate(tests):
print(f"Case {i+1}/{n}: {test.resolve().relative_to(self.CASES_DIR)}")
path: Path = test.resolve().relative_to(self.CASES_DIR)
print(f"{Ansi.FG(Ansi.BRIGHT_CYAN)}Case {i+1}/{n}: {path}{Ansi.RESET}")
print(Ansi.DIM, end="")
success: bool = self._run_test(test)
print(Ansi.RESET, end="")
if success:
successes += 1
else:
@@ -146,8 +151,9 @@ class Tester(ABC):
if not success:
sys.exit(1)
case None:
print("No subcommand provided. Available subcommands: run, update")
sys.exit(1)
success: bool = tester.run_all_tests()
if not success:
sys.exit(1)
case _:
print(f"Unknown subcommand '{args.subcommand}'")
sys.exit(1)

View File

@@ -4,7 +4,35 @@
"type": "Warning",
"location": {
"start": [
6,
8,
12
],
"end": [
8,
43
]
},
"message": "ConstraintType not yet supported"
},
{
"type": "Warning",
"location": {
"start": [
10,
10
],
"end": [
10,
18
]
},
"message": "Unknown type 'datetime'"
},
{
"type": "Warning",
"location": {
"start": [
13,
4
],
"end": [
@@ -12,7 +40,7 @@
5
]
},
"message": "FrameType not yet supported"
"message": "Unknown type '_'"
}
],
"judgments": []

File diff suppressed because it is too large Load Diff

View File

@@ -24,7 +24,7 @@
"type": {
"_type": "BaseType",
"base": "Meter",
"param": null
"args": []
},
"expr": {
"_type": "LiteralExpr",
@@ -62,7 +62,7 @@
"type": {
"_type": "BaseType",
"base": "Second",
"param": null
"args": []
},
"expr": {
"_type": "LiteralExpr",

View File

@@ -100,41 +100,6 @@
"name": "float"
}
},
{
"location": {
"from": "L11:5",
"to": "L11:12"
},
"expr": {
"_type": "VariableExpr",
"name": "maximum"
},
"type": {
"pos_args": [],
"args": [
{
"pos": 0,
"name": "a",
"type": {
"name": "float"
},
"required": true
},
{
"pos": 1,
"name": "b",
"type": {
"name": "float"
},
"required": true
}
],
"kw_args": [],
"returns": {
"name": "float"
}
}
},
{
"location": {
"from": "L11:13",
@@ -161,6 +126,45 @@
"name": "float"
}
},
{
"location": {
"from": "L11:5",
"to": "L11:12"
},
"expr": {
"_type": "VariableExpr",
"name": "maximum"
},
"type": {
"params": {
"pos": [],
"mixed": [
{
"pos": 0,
"name": "a",
"type": {
"name": "float"
},
"required": true,
"unsupported": false
},
{
"pos": 1,
"name": "b",
"type": {
"name": "float"
},
"required": true,
"unsupported": false
}
],
"kw": []
},
"returns": {
"name": "float"
}
}
},
{
"location": {
"from": "L11:5",

View File

@@ -72,29 +72,6 @@
}
],
"judgments": [
{
"location": {
"from": "L26:0",
"to": "L26:5"
},
"expr": {
"_type": "VariableExpr",
"name": "print"
},
"type": {
"pos_args": [
{
"pos": 0,
"name": "object",
"type": {},
"required": true
}
],
"args": [],
"kw_args": [],
"returns": {}
}
},
{
"location": {
"from": "L27:4",
@@ -325,6 +302,32 @@
}
}
},
{
"location": {
"from": "L26:0",
"to": "L26:5"
},
"expr": {
"_type": "VariableExpr",
"name": "print"
},
"type": {
"params": {
"pos": [
{
"pos": 0,
"name": "object",
"type": {},
"required": false,
"unsupported": false
}
],
"mixed": [],
"kw": []
},
"returns": {}
}
},
{
"location": {
"from": "L26:0",

View File

@@ -63,31 +63,6 @@
"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",
@@ -135,6 +110,34 @@
"name": "int"
}
},
{
"location": {
"from": "L6:11",
"to": "L6:15"
},
"expr": {
"_type": "VariableExpr",
"name": "bool"
},
"type": {
"params": {
"pos": [
{
"pos": 0,
"name": "object",
"type": {},
"required": false,
"unsupported": false
}
],
"mixed": [],
"kw": []
},
"returns": {
"name": "bool"
}
}
},
{
"location": {
"from": "L6:11",
@@ -367,94 +370,6 @@
}
}
},
{
"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",
@@ -465,18 +380,21 @@
"name": "double"
},
"type": {
"pos_args": [],
"args": [
{
"pos": 0,
"name": "value",
"type": {
"name": "float"
},
"required": true
}
],
"kw_args": [],
"params": {
"pos": [],
"mixed": [
{
"pos": 0,
"name": "value",
"type": {
"name": "float"
},
"required": true,
"unsupported": false
}
],
"kw": []
},
"returns": {
"name": "float"
}
@@ -503,6 +421,101 @@
}
}
},
{
"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": {
"params": {
"pos": [
{
"pos": 0,
"name": "transform",
"type": {
"params": {
"pos": [
{
"pos": 0,
"name": "v",
"type": {
"name": "T",
"bound": null,
"variance": "INVARIANT"
},
"required": true,
"unsupported": false
}
],
"mixed": [],
"kw": []
},
"returns": {
"name": "U",
"bound": null,
"variance": "INVARIANT"
}
},
"required": true,
"unsupported": false
},
{
"pos": 1,
"name": "iterable",
"type": {
"name": "list",
"args": [
{
"name": "T",
"bound": null,
"variance": "INVARIANT"
}
],
"body": {
"name": "list"
}
},
"required": true,
"unsupported": false
}
],
"mixed": [],
"kw": []
},
"returns": {
"name": "list",
"args": [
{
"name": "U",
"bound": null,
"variance": "INVARIANT"
}
],
"body": {
"name": "list"
}
}
}
}
},
{
"location": {
"from": "L12:17",
@@ -538,94 +551,6 @@
}
}
},
{
"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",
@@ -636,18 +561,21 @@
"name": "double"
},
"type": {
"pos_args": [],
"args": [
{
"pos": 0,
"name": "value",
"type": {
"name": "float"
},
"required": true
}
],
"kw_args": [],
"params": {
"pos": [],
"mixed": [
{
"pos": 0,
"name": "value",
"type": {
"name": "float"
},
"required": true,
"unsupported": false
}
],
"kw": []
},
"returns": {
"name": "float"
}
@@ -674,6 +602,101 @@
}
}
},
{
"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": {
"params": {
"pos": [
{
"pos": 0,
"name": "transform",
"type": {
"params": {
"pos": [
{
"pos": 0,
"name": "v",
"type": {
"name": "T",
"bound": null,
"variance": "INVARIANT"
},
"required": true,
"unsupported": false
}
],
"mixed": [],
"kw": []
},
"returns": {
"name": "U",
"bound": null,
"variance": "INVARIANT"
}
},
"required": true,
"unsupported": false
},
{
"pos": 1,
"name": "iterable",
"type": {
"name": "list",
"args": [
{
"name": "T",
"bound": null,
"variance": "INVARIANT"
}
],
"body": {
"name": "list"
}
},
"required": true,
"unsupported": false
}
],
"mixed": [],
"kw": []
},
"returns": {
"name": "list",
"args": [
{
"name": "U",
"bound": null,
"variance": "INVARIANT"
}
],
"body": {
"name": "list"
}
}
}
}
},
{
"location": {
"from": "L13:15",
@@ -699,94 +722,6 @@
},
"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",
@@ -797,18 +732,21 @@
"name": "is_odd"
},
"type": {
"pos_args": [],
"args": [
{
"pos": 0,
"name": "value",
"type": {
"name": "int"
},
"required": true
}
],
"kw_args": [],
"params": {
"pos": [],
"mixed": [
{
"pos": 0,
"name": "value",
"type": {
"name": "int"
},
"required": true,
"unsupported": false
}
],
"kw": []
},
"returns": {
"name": "bool"
}
@@ -835,6 +773,101 @@
}
}
},
{
"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": {
"params": {
"pos": [
{
"pos": 0,
"name": "transform",
"type": {
"params": {
"pos": [
{
"pos": 0,
"name": "v",
"type": {
"name": "T",
"bound": null,
"variance": "INVARIANT"
},
"required": true,
"unsupported": false
}
],
"mixed": [],
"kw": []
},
"returns": {
"name": "U",
"bound": null,
"variance": "INVARIANT"
}
},
"required": true,
"unsupported": false
},
{
"pos": 1,
"name": "iterable",
"type": {
"name": "list",
"args": [
{
"name": "T",
"bound": null,
"variance": "INVARIANT"
}
],
"body": {
"name": "list"
}
},
"required": true,
"unsupported": false
}
],
"mixed": [],
"kw": []
},
"returns": {
"name": "list",
"args": [
{
"name": "U",
"bound": null,
"variance": "INVARIANT"
}
],
"body": {
"name": "list"
}
}
}
}
},
{
"location": {
"from": "L14:11",

View File

@@ -0,0 +1,117 @@
# type: ignore
# ruff: disable [F821]
df1: Frame[a:int, b:float]
df2: Frame[a:int, b:float]
_: Any
# Arithmetic
_ = df1 + df2
_ = df1 - df2
_ = df1 * df2
_ = df1 / df2
_ = df1 // df2
_ = df1 % df2
_ = df1**df2
# Comparisons
_ = df1 < df2
_ = df1 > df2
_ = df1 <= df2
_ = df1 >= df2
_ = df1 != df2
_ = df1 == df2
# Aggregate
_ = df1.kurt()
_ = df1.kurtosis()
_ = df1.max()
_ = df1.mean()
_ = df1.median()
_ = df1.min()
_ = df1.mode()
_ = df1.prod()
_ = df1.product()
_ = df1.std()
_ = df1.sum()
_ = df1.var()
# Groupby
df_gb = df1.groupby(by="a")
_ = df_gb.kurt()
_ = df_gb.max()
_ = df_gb.mean()
_ = df_gb.median()
_ = df_gb.min()
_ = df_gb.prod()
_ = df_gb.std()
_ = df_gb.sum()
_ = df_gb.var()
# Columns
col1 = df1["a"]
col2 = df1["a"]
# Arithmetic
_ = col1 + col2
_ = col1 - col2
_ = col1 * col2
_ = col1 / col2
_ = col1 // col2
_ = col1 % col2
_ = col1**col2
# Comparisons
_ = col1 < col2
_ = col1 > col2
_ = col1 <= col2
_ = col1 >= col2
_ = col1 != col2
_ = col1 == col2
# Aggregate
_ = col1.kurt()
_ = col1.kurtosis()
_ = col1.max()
_ = col1.mean()
_ = col1.median()
_ = col1.min()
_ = col1.mode()
_ = col1.prod()
_ = col1.product()
_ = col1.std()
_ = col1.sum()
_ = col1.var()
# Groupby
col_gb = col1.groupby(level=0)
_ = col_gb.kurt()
_ = col_gb.max()
_ = col_gb.mean()
_ = col_gb.median()
_ = col_gb.min()
_ = col_gb.prod()
_ = col_gb.std()
_ = col_gb.sum()
_ = col_gb.var()
# Attributes
_ = df1.ndim # int
_ = df1.size # int
_ = df1.shape # (int, int)
_ = col1.ndim # int
_ = col1.size # int
_ = col1.shape # (int)
_ = col1.T # Column[int]
# Misc
_ = df1.head()
_ = df1.tail()
_ = col1.head()
_ = col1.tail()

File diff suppressed because it is too large Load Diff

View File

@@ -18,7 +18,7 @@ Module(
ops=[
Gt()],
comparators=[
Constant(value=0.0)]))],
Constant(value=0)]))],
decorator_list=[],
returns=Constant(value='bool')),
FunctionDef(
@@ -39,7 +39,7 @@ Module(
ops=[
Gt()],
comparators=[
Constant(value=0.0)]))],
Constant(value=0)]))],
decorator_list=[],
returns=Constant(value='bool')),
FunctionDef(
@@ -128,8 +128,8 @@ Module(
func=Call(
func=Name(id='__midas_in_range__'),
args=[
Constant(value=100.0),
Constant(value=200.0)],
Constant(value=100),
Constant(value=200)],
keywords=[]),
args=[
Name(id='_')],
@@ -142,8 +142,8 @@ Module(
value=Call(
func=Name(id='__midas_in_range__'),
args=[
Constant(value=0.0),
Constant(value=18.0)],
Constant(value=0),
Constant(value=18)],
keywords=[])),
FunctionDef(
name='__midas_p3__',
@@ -208,7 +208,7 @@ Module(
args=[
Name(id='__midas_a0__')],
keywords=[]),
msg=Constant(value="02_constraints.py:L5:10: ConstraintError: Value does not fit constraint '_ > 0.0'")),
msg=Constant(value="02_constraints.py:L5:10: ConstraintError: Value does not fit constraint '_ > 0'")),
Assign(
targets=[
Name(id='t1')],
@@ -284,7 +284,7 @@ Module(
args=[
Name(id='__midas_a2__')],
keywords=[]),
msg=Constant(value="02_constraints.py:L7:10: ConstraintError: Value does not fit constraint 'in_range(100.0, 200.0)(_)'")),
msg=Constant(value="02_constraints.py:L7:10: ConstraintError: Value does not fit constraint 'in_range(100, 200)(_)'")),
Assign(
targets=[
Name(id='t3')],

View File

@@ -2474,7 +2474,7 @@
"operator": "-",
"right": {
"_type": "LiteralExpr",
"value": 90.0
"value": 90
}
},
"operator": "<=",
@@ -2485,7 +2485,7 @@
"operator": "<=",
"right": {
"_type": "LiteralExpr",
"value": 90.0
"value": 90
}
}
}
@@ -2512,7 +2512,7 @@
"operator": "-",
"right": {
"_type": "LiteralExpr",
"value": 180.0
"value": 180
}
},
"operator": "<=",
@@ -2523,7 +2523,7 @@
"operator": "<=",
"right": {
"_type": "LiteralExpr",
"value": 180.0
"value": 180
}
}
}
@@ -2780,7 +2780,7 @@
"operator": ">=",
"right": {
"_type": "LiteralExpr",
"value": 0.0
"value": 0
}
}
},
@@ -2813,7 +2813,7 @@
"operator": ">",
"right": {
"_type": "LiteralExpr",
"value": 0.0
"value": 0
}
}
},
@@ -2848,7 +2848,7 @@
"operator": "-",
"right": {
"_type": "LiteralExpr",
"value": 10.0
"value": 10
}
},
"operator": "<=",
@@ -2864,7 +2864,7 @@
"operator": "<=",
"right": {
"_type": "LiteralExpr",
"value": 10.0
"value": 10
}
}
}
@@ -2904,7 +2904,7 @@
"operator": ">=",
"right": {
"_type": "LiteralExpr",
"value": 66.0
"value": 66
}
}
}
@@ -2950,7 +2950,7 @@
"_type": "BinaryExpr",
"left": {
"_type": "LiteralExpr",
"value": 0.0
"value": 0
},
"operator": "<=",
"right": {
@@ -2960,7 +2960,7 @@
"operator": "<",
"right": {
"_type": "LiteralExpr",
"value": 150.0
"value": 150
}
}
}

View File

@@ -1,8 +1,16 @@
{
"stmts": [
{
"_type": "RawStmt",
"stmt": "from __future__ import annotations"
"_type": "FromImportStmt",
"module": "__future__",
"imports": [
{
"_type": "ImportAlias",
"name": "annotations",
"alias": null
}
],
"level": 0
},
{
"_type": "TypeAssign",
@@ -16,7 +24,7 @@
"type": {
"_type": "BaseType",
"base": "bool",
"param": null
"args": []
}
},
{
@@ -25,7 +33,7 @@
"type": {
"_type": "BaseType",
"base": "int",
"param": null
"args": []
}
},
{
@@ -36,7 +44,7 @@
"type": {
"_type": "BaseType",
"base": "float",
"param": null
"args": []
},
"constraint": "(_ > 0) + (_ < 250)"
}
@@ -47,7 +55,7 @@
"type": {
"_type": "BaseType",
"base": "str",
"param": null
"args": []
}
},
{
@@ -56,7 +64,7 @@
"type": {
"_type": "BaseType",
"base": "datetime",
"param": null
"args": []
}
},
{
@@ -65,7 +73,7 @@
"type": {
"_type": "BaseType",
"base": "float",
"param": null
"args": []
}
},
{
@@ -79,7 +87,7 @@
"type": {
"_type": "BaseType",
"base": "_",
"param": null
"args": []
}
}
]

View File

@@ -1,8 +1,16 @@
{
"stmts": [
{
"_type": "RawStmt",
"stmt": "from __future__ import annotations"
"_type": "FromImportStmt",
"module": "__future__",
"imports": [
{
"_type": "ImportAlias",
"name": "annotations",
"alias": null
}
],
"level": 0
},
{
"_type": "TypeAssign",
@@ -16,7 +24,7 @@
"type": {
"_type": "BaseType",
"base": "GeoLocation",
"param": null
"args": []
}
}
]
@@ -28,11 +36,13 @@
"type": {
"_type": "BaseType",
"base": "Column",
"param": {
"_type": "BaseType",
"base": "GeoLocation",
"param": null
}
"args": [
{
"_type": "BaseType",
"base": "GeoLocation",
"args": []
}
]
}
},
{
@@ -65,11 +75,13 @@
"type": {
"_type": "BaseType",
"base": "Column",
"param": {
"_type": "BaseType",
"base": "GeoLocation",
"param": null
}
"args": [
{
"_type": "BaseType",
"base": "GeoLocation",
"args": []
}
]
}
},
{
@@ -117,7 +129,7 @@
"type": {
"_type": "BaseType",
"base": "Latitude",
"param": null
"args": []
}
},
{
@@ -146,7 +158,7 @@
"type": {
"_type": "BaseType",
"base": "Latitude",
"param": null
"args": []
}
},
{
@@ -175,11 +187,13 @@
"type": {
"_type": "BaseType",
"base": "Difference",
"param": {
"_type": "BaseType",
"base": "Latitude",
"param": null
}
"args": [
{
"_type": "BaseType",
"base": "Latitude",
"args": []
}
]
}
},
{
@@ -217,7 +231,7 @@
"type": {
"_type": "BaseType",
"base": "int",
"param": null
"args": []
},
"constraint": "_ >= 0"
}
@@ -230,7 +244,7 @@
"type": {
"_type": "BaseType",
"base": "float",
"param": null
"args": []
},
"constraint": "_ >= 0"
}
@@ -252,7 +266,7 @@
"type": {
"_type": "BaseType",
"base": "int",
"param": null
"args": []
},
"constraint": "Positive"
}
@@ -265,7 +279,7 @@
"type": {
"_type": "BaseType",
"base": "float",
"param": null
"args": []
},
"constraint": "Positive"
}

View File

@@ -1,64 +1,79 @@
{
"stmts": [
{
"_type": "RawStmt",
"stmt": "from __future__ import annotations"
"_type": "FromImportStmt",
"module": "__future__",
"imports": [
{
"_type": "ImportAlias",
"name": "annotations",
"alias": null
}
],
"level": 0
},
{
"_type": "Function",
"name": "func",
"posonlyargs": [],
"args": [
{
"name": "col1",
"type": {
"_type": "BaseType",
"base": "Column",
"param": {
"_type": "ConstraintType",
"type": {
"_type": "BaseType",
"base": "float",
"param": null
},
"constraint": "0 <= _ <= 1"
}
"params": {
"_type": "ParamSpec",
"pos": [],
"mixed": [
{
"name": "col1",
"type": {
"_type": "BaseType",
"base": "Column",
"args": [
{
"_type": "ConstraintType",
"type": {
"_type": "BaseType",
"base": "float",
"args": []
},
"constraint": "0 <= _ <= 1"
}
]
},
"default": null
},
"default": null
},
{
"name": "col2",
"type": {
"_type": "BaseType",
"base": "Column",
"param": {
"_type": "ConstraintType",
"type": {
"_type": "BaseType",
"base": "float",
"param": null
},
"constraint": "0 <= _ <= 1"
}
},
"default": null
}
],
"sink": null,
"kwonlyargs": [],
"kw_sink": null,
{
"name": "col2",
"type": {
"_type": "BaseType",
"base": "Column",
"args": [
{
"_type": "ConstraintType",
"type": {
"_type": "BaseType",
"base": "float",
"args": []
},
"constraint": "0 <= _ <= 1"
}
]
},
"default": null
}
],
"kw": []
},
"returns": {
"_type": "BaseType",
"base": "Column",
"param": {
"_type": "ConstraintType",
"type": {
"_type": "BaseType",
"base": "float",
"param": null
},
"constraint": "0 <= _ <= 2"
}
"args": [
{
"_type": "ConstraintType",
"type": {
"_type": "BaseType",
"base": "float",
"args": []
},
"constraint": "0 <= _ <= 2"
}
]
},
"body": [
{
@@ -67,15 +82,17 @@
"type": {
"_type": "BaseType",
"base": "Column",
"param": {
"_type": "ConstraintType",
"type": {
"_type": "BaseType",
"base": "float",
"param": null
},
"constraint": "0 <= _ <= 2"
}
"args": [
{
"_type": "ConstraintType",
"type": {
"_type": "BaseType",
"base": "float",
"args": []
},
"constraint": "0 <= _ <= 2"
}
]
}
},
{
@@ -111,41 +128,42 @@
{
"_type": "Function",
"name": "func2",
"posonlyargs": [
{
"name": "a",
"type": {
"_type": "BaseType",
"base": "int",
"param": null
},
"default": null
}
],
"args": [
{
"name": "b",
"type": {
"_type": "BaseType",
"base": "float",
"param": null
},
"default": null
}
],
"sink": null,
"kwonlyargs": [
{
"name": "c",
"type": {
"_type": "BaseType",
"base": "str",
"param": null
},
"default": null
}
],
"kw_sink": null,
"params": {
"_type": "ParamSpec",
"pos": [
{
"name": "a",
"type": {
"_type": "BaseType",
"base": "int",
"args": []
},
"default": null
}
],
"mixed": [
{
"name": "b",
"type": {
"_type": "BaseType",
"base": "float",
"args": []
},
"default": null
}
],
"kw": [
{
"name": "c",
"type": {
"_type": "BaseType",
"base": "str",
"args": []
},
"default": null
}
]
},
"returns": null,
"body": []
}

View File

@@ -46,7 +46,8 @@ class GeneratorTester(Tester):
if not any(d.type == DiagnosticType.ERROR for d in checker.diagnostics):
generator = Generator(workdir=path.parent, types=checker.types)
result.compiled_ast = generator.generate_ast(typed_ast, path)
generator.set_src_path(path)
result.compiled_ast = generator.generate_ast(typed_ast)
return result

View File

@@ -1,6 +1,7 @@
from typing import Optional, Sequence
from midas.ast.midas import (
AliasStmt,
BinaryExpr,
CallExpr,
ComplexType,
@@ -8,6 +9,7 @@ from midas.ast.midas import (
Expr,
ExtendStmt,
ExtensionType,
FrameType,
FunctionType,
GenericType,
GetExpr,
@@ -60,6 +62,13 @@ class MidasAstJsonSerializer(
"bound": self._serialize_optional(param.bound),
}
def visit_alias_stmt(self, stmt: AliasStmt) -> dict:
return {
"_type": "AliasStmt",
"name": stmt.name.lexeme,
"type": stmt.type.accept(self),
}
def visit_member_stmt(self, stmt: MemberStmt) -> dict:
return {
"_type": "MemberStmt",
@@ -179,16 +188,16 @@ class MidasAstJsonSerializer(
def _serialize_param_spec(self, spec: ParamSpec) -> dict:
return {
"_type": "ParamSpec",
"pos": [self._serialize_func_arg(arg) for arg in spec.pos],
"mixed": [self._serialize_func_arg(arg) for arg in spec.mixed],
"kw": [self._serialize_func_arg(arg) for arg in spec.kw],
"pos": [self._serialize_func_param(arg) for arg in spec.pos],
"mixed": [self._serialize_func_param(arg) for arg in spec.mixed],
"kw": [self._serialize_func_param(arg) for arg in spec.kw],
}
def _serialize_func_arg(self, arg: FunctionType.Argument) -> dict:
def _serialize_func_param(self, param: FunctionType.Parameter) -> dict:
return {
"name": arg.name.lexeme if arg.name is not None else None,
"type": arg.type.accept(self),
"required": arg.required,
"name": param.name.lexeme if param.name is not None else None,
"type": param.type.accept(self),
"required": param.required,
}
def visit_extension_type(self, type: ExtensionType) -> dict:
@@ -197,3 +206,15 @@ class MidasAstJsonSerializer(
"base": type.base.accept(self),
"extension": type.extension.accept(self),
}
def visit_frame_type(self, type: FrameType) -> dict:
return {
"_type": "FrameType",
"columns": [self._serialize_column(col) for col in type.columns],
}
def _serialize_column(self, column: FrameType.Column):
return {
"name": column.name.lexeme,
"type": column.type.accept(self),
}

View File

@@ -15,13 +15,17 @@ from midas.ast.python import (
ForStmt,
FrameColumn,
FrameType,
FromImportStmt,
Function,
GetExpr,
IfStmt,
ImportAlias,
ImportStmt,
ListExpr,
LiteralExpr,
LogicalExpr,
MidasType,
ParamSpec,
Pass,
RawExpr,
RawStmt,
@@ -30,6 +34,7 @@ from midas.ast.python import (
Stmt,
SubscriptExpr,
TernaryExpr,
TupleExpr,
TypeAssign,
UnaryExpr,
VariableExpr,
@@ -98,7 +103,7 @@ class PythonAstJsonSerializer(
return {
"_type": "BaseType",
"base": node.base,
"param": self._serialize_optional(node.param),
"args": self._serialize_list(node.args),
}
def visit_constraint_type(self, node: ConstraintType) -> dict:
@@ -127,32 +132,30 @@ class PythonAstJsonSerializer(
"expr": stmt.expr.accept(self),
}
def _serialize_argument(self, arg: Function.Argument) -> dict:
return {
"name": arg.name,
"type": self._serialize_optional(arg.type),
"default": self._serialize_optional(arg.default),
}
def visit_function(self, stmt: Function) -> dict:
return {
"_type": "Function",
"name": stmt.name,
"posonlyargs": [self._serialize_argument(arg) for arg in stmt.posonlyargs],
"args": [self._serialize_argument(arg) for arg in stmt.args],
"sink": (
self._serialize_argument(stmt.sink) if stmt.sink is not None else None
),
"kwonlyargs": [self._serialize_argument(arg) for arg in stmt.kwonlyargs],
"kw_sink": (
self._serialize_argument(stmt.kw_sink)
if stmt.kw_sink is not None
else None
),
"params": self._serialize_param_spec(stmt.params),
"returns": self._serialize_optional(stmt.returns),
"body": self._serialize_list(stmt.body),
}
def _serialize_param_spec(self, spec: ParamSpec) -> dict:
return {
"_type": "ParamSpec",
"pos": [self._serialize_func_param(arg) for arg in spec.pos],
"mixed": [self._serialize_func_param(arg) for arg in spec.mixed],
"kw": [self._serialize_func_param(arg) for arg in spec.kw],
}
def _serialize_func_param(self, param: Function.Parameter) -> dict:
return {
"name": param.name,
"type": self._serialize_optional(param.type),
"default": self._serialize_optional(param.default),
}
def visit_type_assign(self, stmt: TypeAssign) -> dict:
return {
"_type": "TypeAssign",
@@ -194,6 +197,30 @@ class PythonAstJsonSerializer(
"body": self._serialize_list(stmt.body),
}
def visit_import_stmt(self, stmt: ImportStmt) -> dict:
return {
"_type": "ImportStmt",
"imports": self._serialize_imports(stmt.imports),
}
def visit_from_import_stmt(self, stmt: FromImportStmt) -> dict:
return {
"_type": "FromImportStmt",
"module": stmt.module,
"imports": self._serialize_imports(stmt.imports),
"level": stmt.level,
}
def _serialize_imports(self, imports: list[ImportAlias]) -> list:
return [
{
"_type": "ImportAlias",
"name": import_.name,
"alias": import_.alias,
}
for import_ in imports
]
def visit_raw_stmt(self, stmt: RawStmt) -> dict:
return {
"_type": "RawStmt",
@@ -302,6 +329,12 @@ class PythonAstJsonSerializer(
"step": self._serialize_optional(expr.step),
}
def visit_tuple_expr(self, expr: TupleExpr) -> dict:
return {
"_type": "TupleExpr",
"items": [item.accept(self) for item in expr.items],
}
def visit_raw_expr(self, expr: RawExpr) -> dict:
return {
"_type": "RawExpr",