TermiNexus
3c6fb1d246
把 Test/ 纳入 https://git.gvsds.com/GVSDS/Viper_RegressionTesting 。 1) 新增 .gitignore —— 只保留测试源码，剔除全部构建产物： 目录 **/output*/（output / output_opt / output_orig / output_verify / output_dbg）、 **/temp*/（temp / temp_opt）、**/.tpv_build/ 二进制 *.exe *.obj *.o *.out *.a *.lib *.dll 中间物 *.ll *.vpi *.pyi *.deps.txt *.deps.json *.doc.json *_sha1_map.txt _pyi_cache_v1.pkl _pyi_cache_v1.sig.json _shared_sym.json _phase1_manifest.json 其它 build_all.txt（构建日志）、*.log、__pycache__/、*.bak、IDE 目录 保留 App/*.vp、project.json / project_opt.json / project.vpj、README.md、两个 .py 实测 `git add -A --dry-run`：196 个文件，无任何构建产物混入。 2) TestsOverview.md → README.md（作为仓库首页文档）。 3) SequentialRegressionTest.py：7 处 TestsOverview.md 引用同步改为 README.md （文档串、OVERVIEW 路径、read_test_order 文档与报错文案、argparse description、 启动横幅）；同时修正入口路径 PROJECTRANS —— 旧值 <root>/Projectrans.py 已不存在， 改为 <root>/TransPyC/Projectrans.py（与 regression_test.py:45-48 记录一致）， 否则本脚本会以 "can't open file" 全量失败。 regression_test.py 无需改动：它按目录扫描 project.json 找项目，不引用该文档。
129 lines
4.4 KiB
Plaintext
129 lines
4.4 KiB
Plaintext
from stdint import *
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import t, c
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import stdio
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import random
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import testcheck
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# ============================================================
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# VRandomTest - 硬件随机数生成 + 标准分布函数测试
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# ============================================================
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def main() -> t.CInt:
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testcheck.begin("VRandomTest: Hardware RNG + Distributions")
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# --- Test 1: RDRAND basic ---
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testcheck.section("Test 1: RDRAND basic")
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r32: t.CUInt32T = vrandom.rdrand32()
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r64: t.CUInt64T = vrandom.rdrand64()
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stdio.printf(" rdrand32() = 0x%08x\n", r32)
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stdio.printf(" rdrand64() = 0x%016llx\n", r64)
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testcheck.ok("RDRAND basic")
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# --- Test 2: randint ---
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testcheck.section("Test 2: randint(1, 100)")
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for _ in range(5):
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v: t.CInt = vrandom.randint(1, 100)
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stdio.printf(" randint(1,100) = %d\n", v)
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testcheck.ok("randint range check")
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# --- Test 3: randrange ---
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testcheck.section("Test 3: randrange(0, 100, 5)")
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for _ in range(5):
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v = vrandom.randrange(0, 100, 5)
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stdio.printf(" randrange(0,100,5) = %d\n", v)
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testcheck.ok("randrange step check")
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# --- Test 4: getrandbits ---
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testcheck.section("Test 4: getrandbits(8)")
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for _ in range(3):
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b: t.CUInt64T = vrandom.getrandbits(8)
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stdio.printf(" getrandbits(8) = 0x%02llx\n", b)
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testcheck.ok("getrandbits width check")
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# --- Test 5: random() [0,1) ---
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testcheck.section("Test 5: random()")
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for _ in range(3):
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f: t.CDouble = vrandom.random()
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stdio.printf(" random() = %f\n", f)
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testcheck.ok("random() in [0,1)")
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# --- Test 6: uniform ---
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testcheck.section("Test 6: uniform(10.0, 20.0)")
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for _ in range(3):
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f = vrandom.uniform(10.0, 20.0)
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stdio.printf(" uniform(10,20) = %f\n", f)
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testcheck.ok("uniform range check")
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# --- Test 7: gauss ---
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testcheck.section("Test 7: gauss(0.0, 1.0)")
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for _ in range(3):
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f = vrandom.gauss(0.0, 1.0)
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stdio.printf(" gauss(0,1) = %f\n", f)
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testcheck.ok("gauss distribution")
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# --- Test 8: normalvariate ---
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testcheck.section("Test 8: normalvariate(100.0, 15.0)")
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for _ in range(3):
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f = vrandom.normalvariate(100.0, 15.0)
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stdio.printf(" normalvariate(100,15) = %f\n", f)
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testcheck.ok("normalvariate distribution")
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# --- Test 9: expovariate ---
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testcheck.section("Test 9: expovariate(0.5)")
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for _ in range(3):
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f = vrandom.expovariate(0.5)
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stdio.printf(" expovariate(0.5) = %f\n", f)
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testcheck.ok("expovariate distribution")
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# --- Test 10: gammavariate ---
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testcheck.section("Test 10: gammavariate(2.0, 1.0)")
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for _ in range(3):
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f = vrandom.gammavariate(2.0, 1.0)
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stdio.printf(" gammavariate(2,1) = %f\n", f)
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testcheck.ok("gammavariate distribution")
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# --- Test 11: betavariate ---
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testcheck.section("Test 11: betavariate(2.0, 5.0)")
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for _ in range(3):
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f = vrandom.betavariate(2.0, 5.0)
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stdio.printf(" betavariate(2,5) = %f\n", f)
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testcheck.ok("betavariate distribution")
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# --- Test 12: triangular ---
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testcheck.section("Test 12: triangular(0.0, 10.0, 5.0)")
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for _ in range(3):
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f = vrandom.triangular(0.0, 10.0, 5.0)
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stdio.printf(" triangular(0,10,5) = %f\n", f)
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testcheck.ok("triangular distribution")
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# --- Test 13: lognormvariate ---
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testcheck.section("Test 13: lognormvariate(0.0, 1.0)")
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for _ in range(3):
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f = vrandom.lognormvariate(0.0, 1.0)
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stdio.printf(" lognormvariate(0,1) = %f\n", f)
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testcheck.ok("lognormvariate distribution")
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# --- Test 14: paretovariate ---
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testcheck.section("Test 14: paretovariate(1.0)")
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for _ in range(3):
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f = vrandom.paretovariate(1.0)
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stdio.printf(" paretovariate(1) = %f\n", f)
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testcheck.ok("paretovariate distribution")
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# --- Test 15: weibullvariate ---
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testcheck.section("Test 15: weibullvariate(1.0, 1.5)")
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for _ in range(3):
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f = vrandom.weibullvariate(1.0, 1.5)
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stdio.printf(" weibullvariate(1,1.5) = %f\n", f)
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testcheck.ok("weibullvariate distribution")
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# --- Test 16: vonmisesvariate ---
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testcheck.section("Test 16: vonmisesvariate(0.0, 1.0)")
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for _ in range(3):
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f = vrandom.vonmisesvariate(0.0, 1.0)
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stdio.printf(" vonmisesvariate(0,1) = %f\n", f)
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testcheck.ok("vonmisesvariate distribution")
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return testcheck.end()
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