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
457d3b6cd7
core: Refactor generic constants to Literal
...
Better matches the syntax of `typing.Literal`.
2023-12-16 18:40:48 +08:00
c7735d935b
standalone: Output id of undefined identifier
2023-12-16 18:40:48 +08:00
a19f1065e3
meta: Refactor to use more let-else bindings
2023-12-12 16:31:14 +08:00
32746c37be
core: Refactor to return errors by HashSet
2023-12-12 15:41:59 +08:00
ddfb532b80
standalone: Apply clippy pedantic changes
2023-12-11 15:16:23 +08:00
02933753ca
core: Apply clippy pedantic changes
2023-12-11 15:16:23 +08:00
d304afd333
meta: Apply clippy suggested changes
2023-12-11 15:16:23 +08:00
031e660f18
core: Initial implementation for const generics
2023-12-08 18:02:11 +08:00
68b97347b1
core: Infer builtins name list using builtin declaration list
2023-12-08 17:29:34 +08:00
adadf56e2b
nac3standalone: generate PIC
2023-12-04 19:09:50 +08:00
98199768e3
demo: fix 64-bit format strings
2023-12-04 18:51:06 +08:00
120f8da5c7
fix compilation warnings
2023-11-26 09:09:24 +08:00
5c5620692f
core: Add np_{round,floor,ceil}
...
These functions are NumPy variants of round/floor/ceil, which returns
floats instead of ints.
2023-11-23 13:45:07 +08:00
0af1e37e99
core: Prefix all NumPy/SciPy functions with np_/sp_spec
2023-11-23 13:35:23 +08:00
d322c91697
core: Change bitshift operators to accept int32/uint32 for RHS operand
2023-11-09 12:16:20 +08:00
fd787ca3f5
core: Remove trunc
...
The behavior of trunc is already implemented by casts and is therefore
redundant.
2023-11-04 13:35:53 +08:00
4dbe07a0c0
core: Revert breaking changes to round-family functions
...
These functions should return ints as the math.* functions do instead of
following the convention of numpy.* functions.
2023-11-04 13:35:53 +08:00
9d737743c1
standalone: Add regression test for numeric primitive operations
2023-11-03 16:24:26 +08:00
447eb9c387
standalone: Fix output format string for output_uint*
2023-11-03 16:24:26 +08:00
7e4dab15ae
standalone: Add math tests for non-number arguments
2023-11-01 18:03:29 +08:00
2b635a0b97
core: Implement numpy and scipy functions
2023-11-01 18:03:29 +08:00
60ad100fbb
core: Implement and expose {isinf,isnan}
2023-11-01 18:03:29 +08:00
