Introduction
When a programmer writes instructions, the computer needs to know the order to follow them. Control flow translation solves the problem of turning these instructions into a clear path that the machine can execute step-by-step.
Imagine following a recipe in a cookbook. You usually go step-by-step, but sometimes you decide to check if you have an ingredient before continuing, or repeat stirring until the sauce thickens. The recipe uses notes to jump back or skip steps based on what you find.
┌───────────────┐
│ Start │
└──────┬────────┘
│
▼
┌───────────────┐
│ Instruction 1 │
└──────┬────────┘
│
▼
┌───────────────┐ ┌───────────────┐
│ Condition? │ ──No─▶│ Instruction 3 │
└──────┬────────┘ └───────────────┘
│Yes
▼
┌───────────────┐
│ Instruction 2 │
└──────┬────────┘
│
▼
┌───────────────┐
│ Loop Back? │
└──────┬────────┘
│Yes
└─────────────┐
▼
┌───────────────┐
│ Instruction 1 │
└───────────────┘def translate_control_flow(instructions): pc = 0 while pc < len(instructions): instr = instructions[pc] if instr['type'] == 'seq': print(f"Execute: {instr['code']}") pc += 1 elif instr['type'] == 'cond': condition = instr['condition']() if condition: pc = instr['true_label'] else: pc = instr['false_label'] elif instr['type'] == 'jump': pc = instr['target'] # Example usage: instructions = [ {'type': 'seq', 'code': 'Step 1'}, {'type': 'cond', 'condition': lambda: True, 'true_label': 3, 'false_label': 2}, {'type': 'seq', 'code': 'Step 3'}, {'type': 'seq', 'code': 'Step 4'}, {'type': 'jump', 'target': 0} ] translate_control_flow(instructions)
if (x > 0) { y = 1; } else { y = -1; }label_start: if x == 0 jump label_end; x = x - 1; jump label_start; label_end:Pass the test and this pattern moves unknown