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Support/Enforce dtype for empty() #2294
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9b99b13
ASR: Process shape and dtype in empty()
ubaidsk 5eab8a7
ASR: Support ListConstant in fill_dims_for_asr_type()
ubaidsk fd78f27
ASR: Check for dims as well when comparing types
ubaidsk a053339
ASRUtils: Simple and (hopefully) robust dims comparison
ubaidsk f0b6ee1
ASRUtils: Support constructing string for multi-dims
ubaidsk 455de7e
ASR: Support struct types in empty()
ubaidsk b36a37d
PASS: Support extracting arr size from ttype_t in implied_do_loops
ubaidsk eaec0ac
ASR: Support TypeParameter in numpy2lpythontypes
ubaidsk 26a5b35
ASRUtils: Support TypeParameter in types_equal()
ubaidsk 5171314
ASR: Support runtime dimensions for allocatable targets
ubaidsk c59961b
ASR: Merge assign_ast_target, ann_assign_target_type to assign_asr_ta…
ubaidsk ca516bc
ASR: Support Allocate statement using empty()
ubaidsk a6741b5
ASRUtils: Support ListConstant in is_value_constant()
ubaidsk 8d6a579
TEST: Fix tests to use dtype in empty()
ubaidsk 976905f
TEST: Fix error tests to use dtype
ubaidsk 289e6e2
TEST: Make err bound less stricter for elemental_02
ubaidsk a3151c6
ASRUtils: Do not encode start dimensions
ubaidsk d0b31d5
TEST: Update reference tests
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Good catch. It's confusing, but I think it's less confusing to use c32 and c64 to mean 32bit and 64bit complex numbers (each component), so c32 corresponds to f32 and c64 to f64. NumPy uses the size of the whole complex number (both components together). Now LPython catches the mistake, so that's good.