lyken 1eb462a5c2 [core] codegen/ndarray: Reimplement np_array() ... Based on 8f0084ac: core/ndstrides: implement np_array() It also checks for inconsistent dimensions if the input is a list. e.g., rejecting `[[1.0, 2.0], [3.0]]`. However, currently only `np_array(<input>, copy=False)` and `np_array (<input>, copy=True)` are supported. In NumPy, copy could be false, true, or None. Right now, NAC3's `np_array(<input>, copy=False)` behaves like NumPy's `np.array(<input>, copy=None)`.		2024-12-24 15:19:00 +08:00
..
codegen	[core] codegen/ndarray: Reimplement np_array()	2024-12-24 15:19:00 +08:00
toplevel	[core] Refactor/Remove redundant and unused constructs	2024-12-23 22:42:11 +08:00
typecheck	[core] Refactor/Remove redundant and unused constructs	2024-12-23 22:42:11 +08:00
lib.rs	[core_derive] Initial implementation	2024-11-20 15:35:55 +08:00
symbol_resolver.rs	[meta] Refactor itertools::{chain,enumerate,repeat_n} with std equiv	2024-12-18 10:47:15 +08:00