a9ca91c387
core: WIP - Add tracer runtime
2024-07-09 14:09:47 +08:00
25d2de67f7
standalone: Add output_range and tests
2024-07-09 04:44:40 +08:00
9238a5e86e
standalone: Rename output_str to output_strln and add output_str
...
output_str is for outputting strings without newline, and the newly
introduced output_strln now has the old behavior of ending with a
newline.
2024-07-09 04:44:40 +08:00
ba32fab374
standalone: Add demos for list arithmetic operators
2024-07-04 16:01:15 +08:00
83154ef8e1
core/llvm_intrinsics: remove llvm.roundeven call from call_float_roundeven
2024-07-03 14:17:47 +08:00
5b11a1dbdd
core: support tuple and int32 input for np_empty, np_ones, and more
2024-06-27 14:30:17 +08:00
ca8459dc7b
standalone: prettify TopLevelComposer error reporting
2024-06-27 10:15:14 +08:00
5bade81ddb
standalone: Add test for multidim array index with one index
2024-06-20 12:50:30 +08:00
07adfb2a18
standalone: Add *.ll to Gitignore list
2024-06-19 18:56:15 +08:00
f00e458f60
add test for class without __init__
2024-06-19 18:16:54 +08:00
f026b48e2a
core: refactor to use TypeVarId and TypeVar
2024-06-13 16:59:10 +08:00
95de0800b4
core/demo: fix typo in .gitignore
2024-06-13 16:05:33 +08:00
3d71c6a850
core/demo: gitignore to ignore *.bc & *.o
2024-06-13 16:00:23 +08:00
23974feae7
meta: Restrict number of allowed lints
2024-06-12 16:10:57 +08:00
40a3bded36
meta: Set clippy lints in {main,lib}.rs
...
So that this does not have to be manually passed to the `cargo clippy`
command-line every single time. Also allows incrementally addressing
these lints by removing and fixing them one-by-one.
2024-06-12 16:10:57 +08:00
8168692cc3
apply cargo fmt
2024-06-12 14:45:03 +08:00
53d44b9595
standalone: Add np_array tests
2024-06-11 16:44:36 +08:00
23b2fee4e7
standalone: Add test case for ndarray slicing
2024-06-03 16:40:05 +08:00
520e1adc56
core/builtins: Add np_minimum/np_maximum
2024-05-09 15:01:20 +08:00
73e81259f3
core/builtins: Add np_min/np_max
2024-05-09 15:01:20 +08:00
30c6cffbad
core/builtins: Refactored numpy builtins to accept scalar and ndarrays
2024-05-06 15:38:29 +08:00
9566047241
standalone: Fix cbrt never tested
2024-05-06 13:21:54 +08:00
c4dc36ae99
standalone: Add explicit -- for delimiting run args vs NAC3 args
2024-05-06 13:21:54 +08:00
847615fc2f
core: Implement numpy.matmul for 2D-2D ndarrays
2024-04-23 10:27:37 +08:00
e0f440040c
core/expr: Implement negative indices for ndarray
2024-04-15 12:49:42 +08:00
52c731c312
core: Implement Not/UAdd/USub for booleans
...
Not sure if this is deliberate or an oversight, but we implement it
anyway for consistency with other Python implementations.
2024-04-12 18:29:58 +08:00
00d1b9be9b
core: Fix __inv__ for i8-based boolean operands
2024-04-12 15:35:54 +08:00
a920fe0501
core: Implement elementwise comparison operators
2024-04-03 00:07:33 +08:00
727a1886b3
core: Implement elementwise unary operators
2024-04-03 00:07:33 +08:00
6af13a8261
core: Implement elementwise binary operators
...
Including immediate variants of these operators.
2024-04-03 00:07:33 +08:00
fd44ee6887
core: Apply clippy suggestions
2024-03-22 15:07:23 +08:00
2edc1de0b6
standalone: Update ndarray.py to output all elements in ndarrays
2024-03-07 14:59:13 +08:00
96b7f29679
core: Implement ndarray.fill
2024-03-07 14:59:13 +08:00
77de24ef74
core: Use BTreeMap for type variable mapping
...
There have been multiple instances where I had the need to iterate over
type variables, only to discover that the traversal order is arbitrary.
This commit fixes that by adding SortedMapping, which utilizes BTreeMap
internally to guarantee a traversal order. All instances of VarMap are
now refactored to use this to ensure that type variables are iterated in
the order of its variable ID, which should be monotonically incremented
by the unifier.
2024-03-04 23:56:04 +08:00
8492503af2
core: Update cargo dependencies
2024-02-23 15:41:04 +08:00
22e831cb76
core: Add test for indexing into ndarray
2024-02-19 17:13:10 +08:00
5cecb2bb74
core: Fix Literal use in variable type annotation
2024-02-06 18:16:14 +08:00
fef4b2a5ce
standalone: Disable tests requiring return of non-primitive values
2024-01-29 12:49:50 +08:00
af95ba5012
standalone: Add debug flag to run_demo.sh
...
Allows running demos using the debug build instead of the (default)
release build.
2024-01-25 15:50:53 +08:00
9c9756be33
standalone: Use size_t in demo.c
2024-01-25 15:50:53 +08:00
c679474f5c
standalone: Fix redefinition of ndarray consumer functions
2024-01-17 09:38:13 +08:00
ab3fa05996
demo: use portable format strings
2024-01-10 18:35:35 +08:00
140f8f8a08
core: Implement most ndarray-creation functions
2023-12-22 16:29:55 +08:00
27fcf8926e
core: Implement ndarray constructor and numpy.empty
2023-12-22 16:29:54 +08:00
bd792904f9
core: Add size_t to primitive store
...
Used for ndims in ndarray.
2023-12-21 15:20:31 +08:00
f01d833d48
standalone: Add missing parenthesis
2023-12-20 15:15:47 +08:00
6dccb343bb
Revert "core: Do not keep unification result for function arguments"
...
This reverts commit f09f3c27a5
2023-12-18 10:01:23 +08:00
d47534e2ad
interpret_demo: add typing.Literal
2023-12-18 08:50:49 +08:00
8886964776
core: Remove redundant argument in type annotation parsing
2023-12-16 18:40:48 +08:00
f09f3c27a5
core: Do not keep unification result for function arguments
...
For some reason, when unifying a function call parameter with an
argument, subsequent calls to the same function will only accept the
type of the substituted argument.
This affect snippets like:
```
def make1() -> C[Literal[1]]:
return ...
def make2() -> C[Literal[2]]:
return ...
def consume(instance: C[Literal[1, 2]]):
pass
consume(make1())
consume(make2())
```
The last statement will result in a compiler error, as the parameter of
consume is replaced with C[Literal[1]].
We fix this by getting a snapshot before performing unification, and
restoring the snapshot after unification succeeds.
2023-12-16 18:40:48 +08:00
