Files
Viper_RegressionTesting/VRandomTest/App/main.vp
T
TermiNexus ee6461be46 chore(comments): Test 仓注释英文化(R11)
把 81 个 .vp 文件的中文 # 注释与三引号文档串改写为简洁英文,每个连续注释块 <=2 行;运行时中文字符串字面量(testcheck.begin/print 等用户可见消息)保持原样。骨架比对 HEAD 与工作区 112 文件漂移 0,全量 77/77 顺序回归通过。
2026-10-05 22:43:38 +08:00

129 lines
4.3 KiB
Plaintext

from stdint import *
import t, c
import stdio
import random
import testcheck
# ============================================================
# VRandomTest: hardware RNG and standard distribution functions.
# ============================================================
def main() -> int:
testcheck.begin("VRandomTest: Hardware RNG + Distributions")
# --- Test 1: RDRAND basic ---
testcheck.section("Test 1: RDRAND basic")
r32: uint32 = vrandom.rdrand32()
r64: uint64 = vrandom.rdrand64()
stdio.printf(" rdrand32() = 0x%08x\n", r32)
stdio.printf(" rdrand64() = 0x%016llx\n", r64)
testcheck.ok("RDRAND basic")
# --- Test 2: randint ---
testcheck.section("Test 2: randint(1, 100)")
for _ in range(5):
v: int = vrandom.randint(1, 100)
stdio.printf(" randint(1,100) = %d\n", v)
testcheck.ok("randint range check")
# --- Test 3: randrange ---
testcheck.section("Test 3: randrange(0, 100, 5)")
for _ in range(5):
v = vrandom.randrange(0, 100, 5)
stdio.printf(" randrange(0,100,5) = %d\n", v)
testcheck.ok("randrange step check")
# --- Test 4: getrandbits ---
testcheck.section("Test 4: getrandbits(8)")
for _ in range(3):
b: uint64 = vrandom.getrandbits(8)
stdio.printf(" getrandbits(8) = 0x%02llx\n", b)
testcheck.ok("getrandbits width check")
# --- Test 5: random() [0,1) ---
testcheck.section("Test 5: random()")
for _ in range(3):
f: double = vrandom.random()
stdio.printf(" random() = %f\n", f)
testcheck.ok("random() in [0,1)")
# --- Test 6: uniform ---
testcheck.section("Test 6: uniform(10.0, 20.0)")
for _ in range(3):
f = vrandom.uniform(10.0, 20.0)
stdio.printf(" uniform(10,20) = %f\n", f)
testcheck.ok("uniform range check")
# --- Test 7: gauss ---
testcheck.section("Test 7: gauss(0.0, 1.0)")
for _ in range(3):
f = vrandom.gauss(0.0, 1.0)
stdio.printf(" gauss(0,1) = %f\n", f)
testcheck.ok("gauss distribution")
# --- Test 8: normalvariate ---
testcheck.section("Test 8: normalvariate(100.0, 15.0)")
for _ in range(3):
f = vrandom.normalvariate(100.0, 15.0)
stdio.printf(" normalvariate(100,15) = %f\n", f)
testcheck.ok("normalvariate distribution")
# --- Test 9: expovariate ---
testcheck.section("Test 9: expovariate(0.5)")
for _ in range(3):
f = vrandom.expovariate(0.5)
stdio.printf(" expovariate(0.5) = %f\n", f)
testcheck.ok("expovariate distribution")
# --- Test 10: gammavariate ---
testcheck.section("Test 10: gammavariate(2.0, 1.0)")
for _ in range(3):
f = vrandom.gammavariate(2.0, 1.0)
stdio.printf(" gammavariate(2,1) = %f\n", f)
testcheck.ok("gammavariate distribution")
# --- Test 11: betavariate ---
testcheck.section("Test 11: betavariate(2.0, 5.0)")
for _ in range(3):
f = vrandom.betavariate(2.0, 5.0)
stdio.printf(" betavariate(2,5) = %f\n", f)
testcheck.ok("betavariate distribution")
# --- Test 12: triangular ---
testcheck.section("Test 12: triangular(0.0, 10.0, 5.0)")
for _ in range(3):
f = vrandom.triangular(0.0, 10.0, 5.0)
stdio.printf(" triangular(0,10,5) = %f\n", f)
testcheck.ok("triangular distribution")
# --- Test 13: lognormvariate ---
testcheck.section("Test 13: lognormvariate(0.0, 1.0)")
for _ in range(3):
f = vrandom.lognormvariate(0.0, 1.0)
stdio.printf(" lognormvariate(0,1) = %f\n", f)
testcheck.ok("lognormvariate distribution")
# --- Test 14: paretovariate ---
testcheck.section("Test 14: paretovariate(1.0)")
for _ in range(3):
f = vrandom.paretovariate(1.0)
stdio.printf(" paretovariate(1) = %f\n", f)
testcheck.ok("paretovariate distribution")
# --- Test 15: weibullvariate ---
testcheck.section("Test 15: weibullvariate(1.0, 1.5)")
for _ in range(3):
f = vrandom.weibullvariate(1.0, 1.5)
stdio.printf(" weibullvariate(1,1.5) = %f\n", f)
testcheck.ok("weibullvariate distribution")
# --- Test 16: vonmisesvariate ---
testcheck.section("Test 16: vonmisesvariate(0.0, 1.0)")
for _ in range(3):
f = vrandom.vonmisesvariate(0.0, 1.0)
stdio.printf(" vonmisesvariate(0,1) = %f\n", f)
testcheck.ok("vonmisesvariate distribution")
return testcheck.end()