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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。
310 lines
14 KiB
Plaintext
310 lines
14 KiB
Plaintext
import t, c
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from stdint import *
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from stdio import printf
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import memhub
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import json
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import string
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import w32.win32memory as win32mem
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import testcheck
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# ============================================================
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# 测试 1：构造 JSON 值（使用 mpool）
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# ============================================================
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def test_construct(pool: memhub.MemPool | t.CPtr):
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testcheck.section("Construct JsonValue (with mpool)")
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# null
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v1: json.JsonValue | t.CPtr = json.null(pool)
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testcheck.check(v1.is_null(), "null is_null", "null is_null")
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# bool
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v2: json.JsonValue | t.CPtr = json.bool_val(pool, True)
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testcheck.check(v2.is_bool(), "bool true is_bool", "bool true is_bool")
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testcheck.check(v2.as_bool(), "bool true as_bool", "bool true as_bool")
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v3: json.JsonValue | t.CPtr = json.bool_val(pool, False)
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testcheck.check(not v3.as_bool(), "bool false !as_bool", "bool false !as_bool")
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# int
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v4: json.JsonValue | t.CPtr = json.int_val(pool, 42)
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testcheck.check(v4.is_int(), "int is_int", "int is_int")
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testcheck.check(v4.as_int() == 42, "int 42 == 42", "int 42 == 42")
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v5: json.JsonValue | t.CPtr = json.int_val(pool, -100)
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testcheck.check(v5.as_int() == -100, "int -100 == -100", "int -100 == -100")
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# float
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v6: json.JsonValue | t.CPtr = json.float_val(pool, 3.14)
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testcheck.check(v6.is_float(), "float is_float", "float is_float")
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testcheck.check(v6.as_float() > 3.13 and v6.as_float() < 3.15, "float 3.14 ~= 3.14", "float 3.14 ~= 3.14")
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# string
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v7: json.JsonValue | t.CPtr = json.string_val(pool, "hello")
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testcheck.check(v7.is_string(), "string is_string", "string is_string")
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testcheck.check(string.strcmp(v7.as_string(), "hello") == 0, "string == hello", "string == hello")
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# array
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v8: json.JsonValue | t.CPtr = json.array(pool)
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testcheck.check(v8.is_array(), "array is_array", "array is_array")
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testcheck.check(len(v8) == 0, "array empty len()==0", "array empty len()==0")
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# object
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v9: json.JsonValue | t.CPtr = json.object(pool)
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testcheck.check(v9.is_object(), "object is_object", "object is_object")
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testcheck.check(len(v9) == 0, "object empty len()==0", "object empty len()==0")
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# ============================================================
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# 测试 2：构造数组和对象（Python风格API）
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# ============================================================
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def test_build_structures(pool: memhub.MemPool | t.CPtr):
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testcheck.section("Build Arrays and Objects (Pythonic API)")
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# 构建数组 [1, 2, 3]
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arr: json.JsonValue | t.CPtr = json.array(pool)
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json.array_append(pool, arr, json.int_val(pool, 1))
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json.array_append(pool, arr, json.int_val(pool, 2))
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json.array_append(pool, arr, json.int_val(pool, 3))
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testcheck.check(len(arr) == 3, "array [1,2,3] len()==3", "array [1,2,3] len()==3")
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testcheck.check(arr.get_item(0).as_int() == 1, "array get_item(0)==1", "array get_item(0)==1")
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testcheck.check(arr.get_item(1).as_int() == 2, "array get_item(1)==2", "array get_item(1)==2")
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testcheck.check(arr.get_item(2).as_int() == 3, "array get_item(2)==3", "array get_item(2)==3")
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# 构建对象 {"name": "Viper", "version": 1}
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obj: json.JsonValue | t.CPtr = json.object(pool)
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json.object_set(pool, obj, "name", json.string_val(pool, "Viper"))
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json.object_set(pool, obj, "version", json.int_val(pool, 1))
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testcheck.check(len(obj) == 2, "object len()==2", "object len()==2")
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# Python风格取值：obj["key"]
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name_val: json.JsonValue | t.CPtr = obj["name"]
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testcheck.check(name_val != None and string.strcmp(name_val.as_string(), "Viper") == 0, "obj['name']==Viper", "obj['name']==Viper")
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ver_val: json.JsonValue | t.CPtr = obj["version"]
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testcheck.check(ver_val != None and ver_val.as_int() == 1, "obj['version']==1", "obj['version']==1")
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missing: json.JsonValue | t.CPtr = obj["missing"]
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testcheck.check(missing == None, "obj['missing']==None", "obj['missing']==None")
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# ============================================================
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# 测试 3：JSON 解析
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# ============================================================
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def test_parse(pool: memhub.MemPool | t.CPtr):
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testcheck.section("Parse JSON")
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# 解析整数
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v1: json.JsonValue | t.CPtr = json.parse(pool, "42")
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testcheck.check(v1.is_int(), "parse int is_int", "parse int is_int")
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testcheck.check(v1.as_int() == 42, "parse int == 42", "parse int == 42")
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# 解析负数
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v2: json.JsonValue | t.CPtr = json.parse(pool, "-7")
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testcheck.check(v2.as_int() == -7, "parse neg int == -7", "parse neg int == -7")
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# 解析浮点数
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v3: json.JsonValue | t.CPtr = json.parse(pool, "3.14")
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testcheck.check(v3.is_float(), "parse float is_float", "parse float is_float")
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testcheck.check(v3.as_float() > 3.13 and v3.as_float() < 3.15, "parse float ~= 3.14", "parse float ~= 3.14")
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# 解析字符串
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v4: json.JsonValue | t.CPtr = json.parse(pool, '"hello world"')
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testcheck.check(v4.is_string(), "parse string is_string", "parse string is_string")
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testcheck.check(string.strcmp(v4.as_string(), "hello world") == 0, "parse string == hello world", "parse string == hello world")
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# 解析布尔
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v5: json.JsonValue | t.CPtr = json.parse(pool, "true")
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testcheck.check(v5.is_bool(), "parse true is_bool", "parse true is_bool")
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testcheck.check(v5.as_bool(), "parse true as_bool", "parse true as_bool")
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v6: json.JsonValue | t.CPtr = json.parse(pool, "false")
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testcheck.check(not v6.as_bool(), "parse false !as_bool", "parse false !as_bool")
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# 解析 null
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v7: json.JsonValue | t.CPtr = json.parse(pool, "null")
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testcheck.check(v7.is_null(), "parse null is_null", "parse null is_null")
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# 解析数组
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v8: json.JsonValue | t.CPtr = json.parse(pool, "[1, 2, 3]")
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testcheck.check(v8.is_array(), "parse array is_array", "parse array is_array")
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testcheck.check(len(v8) == 3, "parse array len()==3", "parse array len()==3")
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testcheck.check(v8.get_item(0).as_int() == 1, "parse array get_item(0)==1", "parse array get_item(0)==1")
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testcheck.check(v8.get_item(2).as_int() == 3, "parse array get_item(2)==3", "parse array get_item(2)==3")
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# 解析对象（Python风格取值）
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v9: json.JsonValue | t.CPtr = json.parse(pool, '{"x": 10, "y": 20}')
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testcheck.check(v9.is_object(), "parse object is_object", "parse object is_object")
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testcheck.check(len(v9) == 2, "parse object len()==2", "parse object len()==2")
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x_val: json.JsonValue | t.CPtr = v9["x"]
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testcheck.check(x_val != None and x_val.as_int() == 10, "parse obj['x']==10", "parse obj['x']==10")
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y_val: json.JsonValue | t.CPtr = v9["y"]
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testcheck.check(y_val != None and y_val.as_int() == 20, "parse obj['y']==20", "parse obj['y']==20")
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# ============================================================
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# 测试 4：JSON 序列化
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# ============================================================
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def test_write(pool: memhub.MemPool | t.CPtr):
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testcheck.section("Write JSON")
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# 写整数
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v1: json.JsonValue | t.CPtr = json.int_val(pool, 42)
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s1: t.CChar | t.CPtr = json.write(pool, v1, False)
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testcheck.check(string.strcmp(s1, "42") == 0, "write int 42", "write int 42")
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# 写字符串
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v2: json.JsonValue | t.CPtr = json.string_val(pool, "hello")
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s2: t.CChar | t.CPtr = json.write(pool, v2, False)
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testcheck.check(string.strcmp(s2, '"hello"') == 0, "write string hello", "write string hello")
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# 写布尔
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v3: json.JsonValue | t.CPtr = json.bool_val(pool, True)
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s3: t.CChar | t.CPtr = json.write(pool, v3, False)
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testcheck.check(string.strcmp(s3, "true") == 0, "write bool true", "write bool true")
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v4: json.JsonValue | t.CPtr = json.bool_val(pool, False)
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s4: t.CChar | t.CPtr = json.write(pool, v4, False)
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testcheck.check(string.strcmp(s4, "false") == 0, "write bool false", "write bool false")
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# 写 null
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v5: json.JsonValue | t.CPtr = json.null(pool)
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s5: t.CChar | t.CPtr = json.write(pool, v5, False)
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testcheck.check(string.strcmp(s5, "null") == 0, "write null", "write null")
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# 写数组
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arr: json.JsonValue | t.CPtr = json.array(pool)
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json.array_append(pool, arr, json.int_val(pool, 1))
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json.array_append(pool, arr, json.int_val(pool, 2))
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json.array_append(pool, arr, json.int_val(pool, 3))
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s6: t.CChar | t.CPtr = json.write(pool, arr, False)
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testcheck.check(string.strcmp(s6, "[1,2,3]") == 0, "write array [1,2,3]", "write array [1,2,3]")
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# 写对象
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obj: json.JsonValue | t.CPtr = json.object(pool)
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json.object_set(pool, obj, "a", json.int_val(pool, 1))
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json.object_set(pool, obj, "b", json.string_val(pool, "x"))
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s7: t.CChar | t.CPtr = json.write(pool, obj, False)
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testcheck.check(s7 != None, "write object non-null", "write object non-null")
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# ============================================================
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# 测试 5：解析复杂嵌套 JSON（Python风格API）
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# ============================================================
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def test_nested(pool: memhub.MemPool | t.CPtr):
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testcheck.section("Parse Nested JSON (Pythonic API)")
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src: t.CChar | t.CPtr = '{"name": "Viper", "version": 1, "features": ["fast", "safe", "portable"], "nested": {"key": "value", "num": 99}}'
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root: json.JsonValue | t.CPtr = json.parse(pool, src)
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testcheck.check(root.is_object(), "nested is_object", "nested is_object")
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testcheck.check(len(root) == 4, "nested len()==4", "nested len()==4")
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# Python风格取值：root["name"]
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name: json.JsonValue | t.CPtr = root["name"]
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testcheck.check(name != None and string.strcmp(name.as_string(), "Viper") == 0, "root['name']==Viper", "root['name']==Viper")
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# root["version"]
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ver: json.JsonValue | t.CPtr = root["version"]
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testcheck.check(ver != None and ver.as_int() == 1, "root['version']==1", "root['version']==1")
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# root["features"] 数组
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feat: json.JsonValue | t.CPtr = root["features"]
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testcheck.check(feat != None and feat.is_array(), "root['features'] is_array", "root['features'] is_array")
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testcheck.check(feat != None and len(feat) == 3, "root['features'] len()==3", "root['features'] len()==3")
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testcheck.check(feat != None and string.strcmp(feat.get_item(0).as_string(), "fast") == 0, "root['features'][0]==fast", "root['features'][0]==fast")
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testcheck.check(feat != None and string.strcmp(feat.get_item(2).as_string(), "portable") == 0, "root['features'][2]==portable", "root['features'][2]==portable")
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# root["nested"] 对象
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nested: json.JsonValue | t.CPtr = root["nested"]
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testcheck.check(nested != None and nested.is_object(), "root['nested'] is_object", "root['nested'] is_object")
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nk: json.JsonValue | t.CPtr = nested["key"] if nested != None else None
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testcheck.check(nk != None and string.strcmp(nk.as_string(), "value") == 0, "root['nested']['key']==value", "root['nested']['key']==value")
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nn: json.JsonValue | t.CPtr = nested["num"] if nested != None else None
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testcheck.check(nn != None and nn.as_int() == 99, "root['nested']['num']==99", "root['nested']['num']==99")
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# ============================================================
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# 测试 6：mpool 重置后重新使用
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# ============================================================
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def test_mpool_reuse():
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testcheck.section("MPool Reuse")
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# 分配内存
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mem: t.CPtr = win32mem.VirtualAlloc(None, 8192, 0x3000, 0x04)
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testcheck.check(mem != None, "VirtualAlloc ok", "VirtualAlloc ok")
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pool: memhub.MemPool | t.CPtr = memhub.MemPool(mem, 8192)
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# 第一次使用
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v1: json.JsonValue | t.CPtr = json.int_val(pool, 100)
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testcheck.check(v1.as_int() == 100, "reuse round1 int==100", "reuse round1 int==100")
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# 重置 mpool
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pool.reset()
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# 第二次使用（内存复用）
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v2: json.JsonValue | t.CPtr = json.string_val(pool, "reused")
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testcheck.check(string.strcmp(v2.as_string(), "reused") == 0, "reuse round2 string==reused", "reuse round2 string==reused")
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# 重置后再解析
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pool.reset()
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v3: json.JsonValue | t.CPtr = json.parse(pool, '{"test": true}')
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testcheck.check(v3.is_object(), "reuse round3 parse ok", "reuse round3 parse ok")
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tv: json.JsonValue | t.CPtr = v3["test"]
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testcheck.check(tv != None and tv.as_bool(), "reuse round3 obj['test']==true", "reuse round3 obj['test']==true")
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win32mem.VirtualFree(mem, 0, 0x8000)
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# ============================================================
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# 测试 7：转义字符解析
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# ============================================================
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def test_escape(pool: memhub.MemPool | t.CPtr):
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testcheck.section("Escape Characters")
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# 解析含转义字符的字符串
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v1: json.JsonValue | t.CPtr = json.parse(pool, '"hello\\nworld"')
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testcheck.check(v1.is_string(), "escape \\n is_string", "escape \\n is_string")
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sv1: t.CChar | t.CPtr = v1.as_string()
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testcheck.check(sv1 != None and sv1[5] == '\n', "escape \\n contains newline", "escape \\n contains newline")
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v2: json.JsonValue | t.CPtr = json.parse(pool, '"tab\\there"')
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testcheck.check(v2.is_string(), "escape \\t is_string", "escape \\t is_string")
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sv2: t.CChar | t.CPtr = v2.as_string()
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testcheck.check(sv2 != None and sv2[3] == '\t', "escape \\t contains tab", "escape \\t contains tab")
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v3: json.JsonValue | t.CPtr = json.parse(pool, '"quote\\""')
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testcheck.check(v3.is_string(), "escape \\\" is_string", "escape \\\" is_string")
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# ============================================================
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# 主函数
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# ============================================================
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def main() -> t.CInt | t.CExport:
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testcheck.begin("JSON Library Test (Pythonic API)")
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# 使用 mpool 的 bump 分配器
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mem: t.CPtr = win32mem.VirtualAlloc(None, 65536, 0x3000, 0x04)
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pool: memhub.MemPool | t.CPtr = memhub.MemPool(mem, 65536)
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test_construct(pool)
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pool.reset()
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test_build_structures(pool)
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pool.reset()
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test_parse(pool)
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pool.reset()
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test_write(pool)
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pool.reset()
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test_nested(pool)
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pool.reset()
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test_escape(pool)
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pool.reset()
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test_mpool_reuse()
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win32mem.VirtualFree(mem, 0, 0x8000)
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return testcheck.end()
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