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numpyBugs and feature requests regarding NumPy supportBugs and feature requests regarding NumPy support
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The requirement is that it works with CPython and NumPy, but also compiles using LPython. One option is:
def main():
a: f32[10000] = numpy.empty(10000, dtype=numpy.float32)
b: f32[10000] = numpy.empty(10000, dtype=numpy.float32)
c: f32[10000] = numpy.empty(10000, dtype=numpy.float32)
scalar: f32
i: i32
nsize: i32
scalar = 10
nsize = size(a)
for i in range(nsize): # type: parallel
a[i] = 5
b[i] = 5
triad(a, b, scalar, c)
print("End Stream Triad")
So the syntax is:
a: f32[10000] = numpy.empty(10000, dtype=numpy.float32)
But this is redundant, as the size 10000 is repeated twice and the type f32 and numpy.float32 is also repeated.
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numpyBugs and feature requests regarding NumPy supportBugs and feature requests regarding NumPy support