TermiNexus
6677da99f7
5 个新 Mixin(92 方法)承接 HandlesBody/If/While/For/Return/Nonlocal/Match/Enum/AnnAssign/AugAssign/Var/Imports/Translator/Main 的无状态函数与 _g_ 全局；15 个 Handles 模块改为一行委托(调用方零改动)；Generator 组合扩展至 12 Mixin，__init__ 初始化 8 个新字段；BuildPipeline/main 注入 14 个模块 set_global_gen；修复 ImportsGenMixin 与 TypeGenMixin 的 CurrentFile 重复字段冲突(改 HandlesType 委托，延迟 import 规避循环依赖)。
393 lines
18 KiB
Plaintext
393 lines
18 KiB
Plaintext
import t, c
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from stdint import *
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import llvmlite
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import memhub
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import string
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import lib.core.Handles.HandlesVar as HandlesVar
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# ============================================================
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# VarGenMixin - 变量/作用域符号表 Mixin（P6 对象化，wiki/14-oo-refactor.md）
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#
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# 从 HandlesVar.vp 迁移：模块级函数（init_vars/find_var/find_var_entry/
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# lookup_var_entry/set_var_annot_class_name/set_var_ptr_element/add_var/
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# _alloca_at_entry/get_or_create_var/_create_scope/init_symbol_table/
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# enter_scope/exit_scope/define_var/define_module_var/lookup_var/
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# lookup_current/lookup_module_var/is_module_scope/get_or_create_sym）
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# → 本类方法。
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#
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# 迁移原则（与 P1-P5 一致，行为零变化）：
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# 1. 方法保留原函数签名（含 symtab/vars_ptr 等指针首参——self 是宿主
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# Generator，这些函数操作数据结构指针，self 可能少用，但为风格
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# 统一仍方法化）
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# 2. 函数体原样搬入，本模块内部函数调用改为 self.xxx(...)；
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# 跨模块调用保留模块前缀（本模块无跨模块调用）
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# 3. HandlesVar.vp 原函数保留为"一行委托"：本地模块级单例 _g_gen
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# （BuildPipeline/main 注入）cast 成 Generator 类型后调本类方法
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# 4. VarEntry/Scope/SymbolTable 数据结构类保留在 HandlesVar.vp
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# （本类方法签名/函数体经 HandlesVar 前缀引用）
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#
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# @t.NoVTable：静态绑定（方法沿 MRO 直接调用 + this 调整，无 vtable 开销）。
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# ============================================================
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# ============================================================
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# 常量（与 HandlesVar 保持一致）
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# ============================================================
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# 作用域类型常量
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SCOPE_MODULE: t.CDefine = 0
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SCOPE_FUNCTION: t.CDefine = 1
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SCOPE_BLOCK: t.CDefine = 2
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# 每个作用域最大变量数
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MAX_VARS: t.CDefine = 256
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# ============================================================
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# VarGenMixin - 变量/作用域符号表 Mixin
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# ============================================================
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@t.NoVTable
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class VarGenMixin:
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"""变量/作用域 Mixin（P6 方法化）"""
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# 迁移自 HandlesVar 的模块级函数
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# ============================================================
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# init_vars — 分配并清零 VarEntry 数组
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# ============================================================
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def init_vars(self, pool: memhub.MemBuddy | t.CPtr) -> HandlesVar.VarEntry | t.CPtr:
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"""分配并清零变量表数组"""
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size: t.CSizeT = MAX_VARS * HandlesVar.VarEntry.__sizeof__()
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vars_ptr: HandlesVar.VarEntry | t.CPtr = pool.alloc(size)
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if vars_ptr is not None:
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string.memset(vars_ptr, 0, size)
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return vars_ptr
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# ============================================================
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# find_var — 在变量表中按名称查找
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# ============================================================
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def find_var(self, vars_ptr: HandlesVar.VarEntry | t.CPtr,
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var_count: int,
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name: str) -> llvmlite.Value | t.CPtr:
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"""在变量表中按名称查找"""
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if name is None or vars_ptr is None:
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return None
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entry_size: t.CSizeT = HandlesVar.VarEntry.__sizeof__()
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for i in range(var_count):
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entry_addr: t.CUInt64T = t.CUInt64T(vars_ptr) + i * entry_size
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entry: HandlesVar.VarEntry | t.CPtr = (HandlesVar.VarEntry | t.CPtr)(t.CVoid(entry_addr, t.CPtr))
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if entry.Name is not None and entry.Used != 0:
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if string.strcmp(entry.Name, name) == 0:
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return entry.Alloca
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return None
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# ============================================================
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# find_var_entry — 在变量表中按名称查找，返回 VarEntry（含 AnnotTy）
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# ============================================================
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def find_var_entry(self, vars_ptr: HandlesVar.VarEntry | t.CPtr,
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var_count: int,
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name: str) -> HandlesVar.VarEntry | t.CPtr:
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"""在变量表中按名称查找，返回 VarEntry 或 None"""
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if name is None or vars_ptr is None:
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return None
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entry_size: t.CSizeT = HandlesVar.VarEntry.__sizeof__()
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for i in range(var_count):
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entry_addr: t.CUInt64T = t.CUInt64T(vars_ptr) + i * entry_size
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entry: HandlesVar.VarEntry | t.CPtr = (HandlesVar.VarEntry | t.CPtr)(t.CVoid(entry_addr, t.CPtr))
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if entry.Name is not None and entry.Used != 0:
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if string.strcmp(entry.Name, name) == 0:
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return entry
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return None
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# ============================================================
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# lookup_var_entry — 从当前作用域逐级向上查找变量，返回 VarEntry
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# ============================================================
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def lookup_var_entry(self, symtab: HandlesVar.SymbolTable | t.CPtr,
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name: str) -> HandlesVar.VarEntry | t.CPtr:
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"""从当前作用域逐级向上查找变量，返回 VarEntry 或 None"""
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if symtab is None or name is None:
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return None
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scope: HandlesVar.Scope | t.CPtr = symtab.Current
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while scope is not None:
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result: HandlesVar.VarEntry | t.CPtr = self.find_var_entry(scope.Vars, scope.VarCount, name)
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if result is not None:
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return result
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scope = scope.Parent
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return None
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# ============================================================
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# set_var_annot_class_name — 设置变量的原始类型注解类名
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#
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# 在函数参数定义后调用，存储原始类型注解的类名。
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# 方法调用检测时，当 alloca 类型是 Ptr(i8)（联合类型简化），
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# 通过 AnnotClassName 查找实际结构体类型。
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# ============================================================
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def set_var_annot_class_name(self, symtab: HandlesVar.SymbolTable | t.CPtr,
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name: str,
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class_name: str) -> int:
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"""设置变量的原始类型注解类名，返回 0=成功 / 1=失败"""
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if symtab is None or name is None:
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return 1
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entry: HandlesVar.VarEntry | t.CPtr = self.lookup_var_entry(symtab, name)
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if entry is None:
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return 1
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entry.AnnotClassName = class_name
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return 0
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# ============================================================
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# set_var_ptr_element — 标记变量为"指针到 str/bytes"类型
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#
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# 注解为 bytes|t.CPtr 或 str|t.CPtr 的变量，其 alloca 类型是 i8*，
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# 但下标访问应按 8 字节步长（i8** 语义），而非 1 字节步长（i8* 语义）。
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# 此标志在 HandlesAnnAssign 中根据注解形式设置。
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# ============================================================
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def set_var_ptr_element(self, symtab: HandlesVar.SymbolTable | t.CPtr,
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name: str) -> int:
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"""标记变量为 ptr_element 类型，返回 0=成功 / 1=失败"""
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if symtab is None or name is None:
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return 1
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entry: HandlesVar.VarEntry | t.CPtr = self.lookup_var_entry(symtab, name)
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if entry is None:
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return 1
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entry.IsPtrElement = 1
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return 0
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# ============================================================
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# add_var — 添加变量到变量表
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# ============================================================
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def add_var(self, vars_ptr: HandlesVar.VarEntry | t.CPtr,
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var_count: int,
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name: str,
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alloca: llvmlite.Value | t.CPtr) -> int:
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"""添加变量到变量表"""
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if name is None or alloca is None or vars_ptr is None:
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return 1
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if var_count >= MAX_VARS:
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return 1
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entry_size: t.CSizeT = HandlesVar.VarEntry.__sizeof__()
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entry_addr: t.CUInt64T = t.CUInt64T(vars_ptr) + var_count * entry_size
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entry: HandlesVar.VarEntry | t.CPtr = (HandlesVar.VarEntry | t.CPtr)(t.CVoid(entry_addr, t.CPtr))
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entry.Name = name
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entry.Alloca = alloca
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entry.Used = 1
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return 0
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# ============================================================
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# _alloca_at_entry - 在函数入口块生成 alloca（确保支配性）
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#
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# LLVM IR 要求指令支配所有使用点。如果 alloca 在条件分支内生成，
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# 但在其他分支使用，会违反支配性（Instruction does not dominate all uses）。
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# 标准做法：所有 alloca 在函数入口块生成。
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#
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# 临时切换 builder.CurBlock 到入口块，生成 alloca，然后恢复。
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# ============================================================
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def _alloca_at_entry(self, builder: llvmlite.IRBuilder | t.CPtr,
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ty: llvmlite.LLVMType | t.CPtr) -> llvmlite.Value | t.CPtr:
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"""在函数入口块生成 alloca，返回 alloca 值
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使用 llvmlite.build_alloca_at_entry 在入口块终止指令之前插入 alloca，
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确保所有 alloca 在入口块，避免支配性违规。
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"""
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if builder is None or ty is None:
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return None
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return llvmlite.build_alloca_at_entry(builder, ty)
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# ============================================================
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# get_or_create_var — 查找或创建变量 alloca（旧版兼容）
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# ============================================================
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def get_or_create_var(self, pool: memhub.MemBuddy | t.CPtr,
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builder: llvmlite.IRBuilder | t.CPtr,
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vars_ptr: HandlesVar.VarEntry | t.CPtr,
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var_count: int,
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name: str,
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ty: llvmlite.LLVMType | t.CPtr) -> llvmlite.Value | t.CPtr:
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"""查找或创建变量 alloca"""
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existing: llvmlite.Value | t.CPtr = self.find_var(vars_ptr, var_count, name)
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if existing is not None:
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return existing
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alloca: llvmlite.Value | t.CPtr = self._alloca_at_entry(builder, ty)
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if alloca is None:
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return None
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if self.add_var(vars_ptr, var_count, name, alloca) != 0:
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return None
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return alloca
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# ============================================================
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# _create_scope — 创建新作用域节点（内部辅助函数）
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# ============================================================
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def _create_scope(self, pool: memhub.MemBuddy | t.CPtr,
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parent: HandlesVar.Scope | t.CPtr,
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kind: int) -> HandlesVar.Scope | t.CPtr:
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"""创建并初始化作用域节点"""
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scope: HandlesVar.Scope | t.CPtr = pool.alloc(HandlesVar.Scope.__sizeof__())
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if scope is None:
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return None
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string.memset(scope, 0, HandlesVar.Scope.__sizeof__())
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scope.Parent = parent
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scope.Vars = self.init_vars(pool)
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scope.VarCount = 0
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scope.Kind = kind
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if scope.Vars is None:
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return None
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return scope
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# ============================================================
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# init_symbol_table — 创建符号表（含模块级根作用域）
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# ============================================================
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def init_symbol_table(self, pool: memhub.MemBuddy | t.CPtr) -> HandlesVar.SymbolTable | t.CPtr:
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"""创建并初始化符号表，包含模块级根作用域"""
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if pool is None:
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return None
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symtab: HandlesVar.SymbolTable | t.CPtr = pool.alloc(HandlesVar.SymbolTable.__sizeof__())
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if symtab is None:
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return None
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string.memset(symtab, 0, HandlesVar.SymbolTable.__sizeof__())
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symtab.Pool = pool
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# 创建根作用域（模块级）
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root: HandlesVar.Scope | t.CPtr = self._create_scope(pool, None, SCOPE_MODULE)
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if root is None:
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return None
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symtab.Root = root
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symtab.Current = root
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return symtab
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# ============================================================
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# enter_scope — 进入新作用域
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# ============================================================
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def enter_scope(self, symtab: HandlesVar.SymbolTable | t.CPtr,
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kind: int) -> HandlesVar.Scope | t.CPtr:
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"""进入新作用域，返回新创建的作用域"""
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if symtab is None:
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return None
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pool: memhub.MemBuddy | t.CPtr = symtab.Pool
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scope: HandlesVar.Scope | t.CPtr = self._create_scope(pool, symtab.Current, kind)
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if scope is None:
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return None
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symtab.Current = scope
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return scope
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# ============================================================
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# exit_scope — 退出当前作用域
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# ============================================================
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def exit_scope(self, symtab: HandlesVar.SymbolTable | t.CPtr):
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"""退出当前作用域，恢复到父作用域"""
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if symtab is not None and symtab.Current is not None:
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symtab.Current = symtab.Current.Parent
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# ============================================================
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# define_var — 在当前作用域定义变量
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# ============================================================
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def define_var(self, symtab: HandlesVar.SymbolTable | t.CPtr,
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name: str,
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alloca: llvmlite.Value | t.CPtr) -> int:
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"""在当前作用域定义变量，返回 0 成功"""
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if symtab is None or name is None or alloca is None:
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return 1
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scope: HandlesVar.Scope | t.CPtr = symtab.Current
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if scope is None:
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return 1
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ret: int = self.add_var(scope.Vars, scope.VarCount, name, alloca)
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if ret == 0:
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scope.VarCount = scope.VarCount + 1
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return ret
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# ============================================================
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# define_module_var — 在模块作用域定义变量
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# ============================================================
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def define_module_var(self, symtab: HandlesVar.SymbolTable | t.CPtr,
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name: str,
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alloca: llvmlite.Value | t.CPtr) -> int:
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"""在模块作用域定义变量，返回 0 成功"""
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if symtab is None or name is None or alloca is None:
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return 1
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scope: HandlesVar.Scope | t.CPtr = symtab.Root
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if scope is None:
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return 1
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ret: int = self.add_var(scope.Vars, scope.VarCount, name, alloca)
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if ret == 0:
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scope.VarCount = scope.VarCount + 1
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return ret
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# ============================================================
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# lookup_var — 从当前作用域逐级向上查找变量
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# ============================================================
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def lookup_var(self, symtab: HandlesVar.SymbolTable | t.CPtr,
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name: str) -> llvmlite.Value | t.CPtr:
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"""从当前作用域逐级向上查找变量，返回 alloca 或 None"""
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if symtab is None or name is None:
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return None
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scope: HandlesVar.Scope | t.CPtr = symtab.Current
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while scope is not None:
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result: llvmlite.Value | t.CPtr = self.find_var(
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scope.Vars, scope.VarCount, name)
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if result is not None:
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return result
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scope = scope.Parent
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return None
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# ============================================================
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# lookup_current — 仅在当前作用域查找变量
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# ============================================================
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def lookup_current(self, symtab: HandlesVar.SymbolTable | t.CPtr,
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name: str) -> llvmlite.Value | t.CPtr:
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"""仅在当前作用域查找变量"""
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if symtab is None or name is None:
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return None
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scope: HandlesVar.Scope | t.CPtr = symtab.Current
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if scope is None:
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return None
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return self.find_var(scope.Vars, scope.VarCount, name)
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# ============================================================
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# lookup_module_var — 在模块作用域查找变量
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# ============================================================
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def lookup_module_var(self, symtab: HandlesVar.SymbolTable | t.CPtr,
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name: str) -> llvmlite.Value | t.CPtr:
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"""在模块作用域查找变量"""
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if symtab is None or name is None:
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return None
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scope: HandlesVar.Scope | t.CPtr = symtab.Root
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if scope is None:
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return None
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return self.find_var(scope.Vars, scope.VarCount, name)
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# ============================================================
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# is_module_scope - 判断当前是否在模块级作用域
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#
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# 用于区分模块级代码和函数内代码：
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# - 模块级代码：AnnAssign 应修改模块级变量（Python 语义）
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# - 函数内代码：无 global 声明时 AnnAssign 应创建局部变量（Python 语义）
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# ============================================================
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def is_module_scope(self, symtab: HandlesVar.SymbolTable | t.CPtr) -> int:
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"""判断当前作用域是否为模块级作用域（Current == Root）
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Returns: 1=模块级作用域, 0=函数内作用域
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"""
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if symtab is None:
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return 0
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if symtab.Root is None or symtab.Current is None:
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return 0
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# 比较指针：Current 与 Root 相同则为模块级
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if t.CUInt64T(symtab.Current) == t.CUInt64T(symtab.Root):
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return 1
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return 0
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# ============================================================
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# get_or_create_sym — 查找或创建变量（在当前作用域）
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# ============================================================
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def get_or_create_sym(self, symtab: HandlesVar.SymbolTable | t.CPtr,
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pool: memhub.MemBuddy | t.CPtr,
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builder: llvmlite.IRBuilder | t.CPtr,
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name: str,
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ty: llvmlite.LLVMType | t.CPtr) -> llvmlite.Value | t.CPtr:
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"""查找或创建变量 alloca（在当前作用域）"""
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existing: llvmlite.Value | t.CPtr = self.lookup_current(symtab, name)
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if existing is not None:
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return existing
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alloca: llvmlite.Value | t.CPtr = self._alloca_at_entry(builder, ty)
|
||
if alloca is None:
|
||
return None
|
||
self.define_var(symtab, name, alloca)
|
||
return alloca
|