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

70 lines
1.0 KiB
Python

from numba import jit
import numpy as np
@jit
def inc(a):
for i in range(len(a)):
a[i] += 1
return a
@jit
def inc1(a):
a[0] += 1
return a[0]
@jit
def inc2(a):
a[0] += 1
return a[0], a[0] + 1
def chain1(a):
x = y = z = inc(a)
return x + y + z
def chain2(v):
a = np.zeros(2)
a[0] = x = a[1] = v
return a[0] + a[1] + (x / 2)
def unpack1(x, y):
a, b = x, y
return a + b / 2
def unpack2(x, y):
a, b = c, d = inc1(x), inc1(y)
return a + c / 2, b + d / 2
def chain3(x, y):
a = (b, c) = (inc1(x), inc1(y))
(d, e) = f = (inc1(x), inc1(y))
return (a[0] + b / 2 + d + f[0]), (a[1] + c + e / 2 + f[1])
def unpack3(x):
a, b = inc2(x)
return a + b / 2
def unpack4(x):
a, b = c, d = inc2(x)
return a + c / 2, b + d / 2
def unpack5(x):
a = b, c = inc2(x)
d, e = f = inc2(x)
return (a[0] + b / 2 + d + f[0]), (a[1] + c + e / 2 + f[1])
def unpack6(x, y):
(a, b), (c, d) = (x, y), (y + 1, x + 1)
return a + c / 2, b / 2 + d