ai-content-maker/.venv/Lib/site-packages/numba/tests/inlining_usecases.py

70 lines
1019 B
Python

""" Test cases for inlining IR from another module """
from numba import jit, njit
from numba.core import types
from numba.core.extending import overload
_GLOBAL1 = 100
@njit(inline='always')
def bar():
return _GLOBAL1 + 10
def baz_factory(a):
b = 17 + a
@njit(inline='always')
def baz():
return _GLOBAL1 + a - b
return baz
def baz():
return _GLOBAL1 + 10
@overload(baz, inline='always')
def baz_ol():
def impl():
return _GLOBAL1 + 10
return impl
def bop_factory(a):
b = 17 + a
def bop():
return _GLOBAL1 + a - b
@overload(bop, inline='always')
def baz():
def impl():
return _GLOBAL1 + a - b
return impl
return bop
@jit((types.int32,), nopython=True)
def inner(a):
return a + 1
@jit((types.int32,), nopython=True)
def more(a):
return inner(inner(a))
def outer_simple(a):
return inner(a) * 2
def outer_multiple(a):
return inner(a) * more(a)
@njit
def __dummy__():
return