Closed forFudan closed 2 months ago
Update to_numpy function so that multiple data types are allowed.
to_numpy
Example:
import numojo as nm from python import Python fn main() raises: var array = nm.NDArray[nm.i32](1000,1000,random=True) print(array.to_numpy())
float64:
[[0.085 0.8916 0.1897 ... 0.5549 0.2582 0.0078] [0.8286 0.6087 0.1889 ... 0.8907 0.6361 0.82 ] [0.6088 0.0533 0.7494 ... 0.0336 0.7792 0.7019] ... [0.7376 0.4745 0.6004 ... 0.1094 0.8473 0.231 ] [0.3293 0.7703 0.4481 ... 0.1036 0.252 0.1913] [0.8816 0.6159 0.8896 ... 0.5805 0.7877 0.0112]]
int32:
[[ 1015961569 -1622847108 2029044002 ... -454831891 1704168191 1437546358] [ -520992968 -1055649167 -126675237 ... -67502823 -1586034558 -316907984] [-1275429598 -1923702087 133396804 ... -1838852486 688436754 -1148766235] ... [ 826482507 1735843351 885640559 ... 635159423 1318392211 1438666918] [ 1004778054 1109507528 1954911815 ... 175739532 -1995920687 -585378106] [ 489140068 -1218268742 -2041196043 ... -457175955 1927216093 -1085590885]]
Update
to_numpy
function so that multiple data types are allowed.Example:
float64:
int32: