Apparently numba
supports neither sys.stdout.flush
nor print("", flush=True)
.
What is a good way to flush "prints" inside a jitted function?
nopython. Numba has two compilation modes: nopython mode and object mode. The former produces much faster code, but has limitations that can force Numba to fall back to the latter. To prevent Numba from falling back, and instead raise an error, pass nopython=True .
Numba supports (Unicode) strings in Python 3. Strings can be passed into nopython mode as arguments, as well as constructed and returned from nopython mode. As in Python, slices (even of length 1) return a new, reference counted string.
Numba reads the Python bytecode for a decorated function and combines this with information about the types of the input arguments to the function. It analyzes and optimizes your code, and finally uses the LLVM compiler library to generate a machine code version of your function, tailored to your CPU capabilities.
You can use the objmode()
context manager to use code which is not supported in numba
’s nopython
JIT mode:
import numba
@numba.njit
def f(x):
x *= 2
with numba.objmode():
print(x, flush=True)
return x + 1
print(f'f(7) = {f(7)}')
# 14
# f(7) = 15
As noted in the documentation, this should only be used outside of performance-critical code sections due to the overhead involved.
Note: I don’t think this was available when the question was originally asked in 2017.
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