forked from M-Labs/nac3
lyken
d222236492
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)`. |
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.. | ||
ndarray | ||
cslice.hpp | ||
debug.hpp | ||
exception.hpp | ||
int_types.hpp | ||
list.hpp | ||
math_util.hpp | ||
math.hpp | ||
ndarray.hpp | ||
range.hpp | ||
slice.hpp |