Multiple python versions (#42)

* Support multiple Python versions in single build

* RPATH + Split up config into config and runtime

* pybind11 submodule

* Docker build updates
Este commit está contenido en:
Jonathan R. Madsen
2022-04-21 21:36:07 -05:00
cometido por GitHub
padre d98e60a17f
commit 4db6ba3d28
Se han modificado 37 ficheros con 1554 adiciones y 870 borrados
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@@ -1,36 +1,73 @@
#!@PYTHON_EXECUTABLE@
import os
import sys
import numpy as np
import omnitrace
_prefix = ""
def fib(n):
return n if n < 2 else (fib(n - 1) + fib(n - 2))
def inefficient(n):
print(f"inefficient: {n}")
a = 0
for i in range(n):
a += i
for j in range(n):
a += j
arr = np.random.rand(a * n * n * n)
sum = arr.sum()
print(f"sum: {sum}")
return sum
try:
import numpy as np
def inefficient(n):
print(f"[{_prefix}] ... running inefficient({n})")
a = 0
for i in range(n):
a += i
for j in range(n):
a += j
_len = a * n * n * n
_ret = np.random.rand(_len).sum()
print(f"[{_prefix}] ... sum of {_len} random elements: {_ret}")
return _ret
except ImportError:
import random
def _sum(arr):
return sum(arr)
def inefficient(n):
print(f"[{_prefix}] ... running inefficient({n})")
a = 0
for i in range(n):
a += i
for j in range(n):
a += j
_len = a * n * n * n
_arr = [random.random() for _ in range(_len)]
_ret = _sum(_arr)
print(f"[{_prefix}] ... sum of {_len} random elements: {_ret}")
return _ret
@omnitrace.profile()
def run(nfib):
ret = 0
ret += fib(nfib)
ret += inefficient(nfib)
return ret
def run(n):
_ret = 0
_ret += fib(n)
_ret += inefficient(n)
return _ret
if __name__ == "__main__":
nfib = int(sys.argv[1]) if len(sys.argv) > 1 else 20
for i in range(5):
ans = run(nfib)
print(f"[{i}] fibonacci({nfib}) = {ans}")
import argparse
parser = argparse.ArgumentParser()
parser.add_argument(
"-n", "--num-iterations", help="Number", type=int, default=3
)
parser.add_argument(
"-v", "--value", help="Starting value", type=int, default=20
)
args = parser.parse_args()
_prefix = os.path.basename(__file__)
print(f"[{_prefix}] Executing {args.num_iterations} iterations...\n")
for i in range(args.num_iterations):
ans = run(args.value)
print(f"[{_prefix}] [{i}] result of run({args.value}) = {ans}\n")