Nankun Mu

51 papers A* 1B 1C 4Journal 30Unranked 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
IEEE Trans. Netw. Serv. Manag.
Junyu Li, Fei Zhou, Qi Xie, Nankun Mu, Yi-Ning Liu
2026 J jnl
CoRR
Jiahao Xu, Sheng Huang, Xin Zhang, Zhixiong Nan, Jiajun Dong, Nankun Mu
2026 J jnl
ACM Trans. Multim. Comput. Commun. Appl.
Jianhui Zou, Weijia Cao, Nankun Mu, Shuang Yi, Yifeng Zheng, Zhaoquan Gu, Zhongyun Hua
2026 J jnl
IEEE Trans. Dependable Secur. Comput.
Shengyang Qin, Xinyu Lei, Nankun Mu, Hongyu Huang, Tian Xie, Xiao Zhang
2025 conf
ICIC (22)
Ting Yang, Jinxue Zhao, Xinyu Lei, Hongyu Huang, Nankun Mu, Xu Zhou, Mahabubur Rahman Miraj
2025 conf
APWeb-WAIM (3)
Mahabubur Rahman Miraj, Hongyu Huang, Ting Yang, Jinxue Zhao, Nankun Mu, Xinyu Lei
2025 J jnl
CoRR
Mahabubur Rahman Miraj, Hongyu Huang, Ting Yang, Jinxue Zhao, Nankun Mu, Xinyu Lei
2025 J jnl
IEEE Trans. Veh. Technol.
Gao Liu, Weiyang Li, Chengsheng Yuan, Ning Wang, Chuan Ma, Nankun Mu, Zhiquan Liu, Yining Liu, Tao Xiang
2025 J jnl
IEEE Trans. Intell. Transp. Syst.
Gao Liu, Hao Li, Junqing Le, Ning Wang, Nankun Mu, Zhiquan Liu, Yi-Ning Liu, Tao Xiang
2025 J jnl
IEEE Trans. Inf. Forensics Secur.
Bin Liu, Tiantian Yang, Wei Huang, Chunyan Wei, Nankun Mu, Bingjie Xu, Fei Gao
2025 J jnl
IEEE Trans. Veh. Technol.
Gao Liu, Hao Li, Yangfan Liang, Junqing Le, Ning Wang, Nankun Mu, Zhiquan Liu, Yi-Ning Liu, Tao Xiang
2025 J jnl
IEEE Trans. Consumer Electron.
Di Zhang, Junqing Le, Nankun Mu, Gao Liu, Tao Xiang
2025 J jnl
IEEE Trans. Syst. Man Cybern. Syst.
Huilan Yang, Xin Wang, Nankun Mu, Ju H. Park, Quanxin Zhu
2025 conf
PRCV (5)
Hailin Wang, Sheng Huang, Jiexuan Yan, Xin Zhang, Nankun Mu
2024 J jnl
Comput. Mater. Continua
Rong Wang, Xinxin Xu, Zijia Wang, Fei Ji, Nankun Mu
2024 A* conf
ACM Multimedia
Jiexuan Yan, Sheng Huang, Nankun Mu, Luwen Huangfu, Bo Liu
2024 J jnl
CoRR
Jiexuan Yan, Sheng Huang, Nankun Mu, Luwen Huangfu, Bo Liu
2024 conf
MSN
Shengyang Qin, Xinyu Lei, Hongyu Huang, Xu Zhou, Cong Yang, Nankun Mu
2024 J jnl
IEEE Trans. Sustain. Comput.
Fan Yang, Xiaofeng Liao, Xinyu Lei, Nankun Mu, Di Zhang
2023 conf
ICACI
Wei Guo, Hangjun Che, Man-Fai Leung, Nankun Mu, Xiangguang Dai, Yuming Feng
2023 conf
ICONIP (3)
Hongyu Huang, Cui Sun, Xinyu Lei, Nankun Mu, Chunqiang Hu, Chao Chen, Huaqing Li, Yantao Li
2023 J jnl
IEEE Trans. Cloud Comput.
Di Zhang, Junqing Le, Nankun Mu, Jiahui Wu, Xiaofeng Liao
2022 J jnl
IEEE Trans. Emerg. Top. Comput. Intell.
Fan Yang, Xinyu Lei, Junqing Le, Nankun Mu, Xiaofeng Liao
2022 J jnl
IEEE Trans. Cloud Comput.
Jiahui Wu, Nankun Mu, Xinyu Lei, Junqing Le, Di Zhang, Xiaofeng Liao
2021 J jnl
Int. J. Fuzzy Syst.
Fan Yang, Nankun Mu, Xiaofeng Liao, Xinyu Lei
2021 J jnl
IEEE Trans. Cybern.
Junqing Le, Xinyu Lei, Nankun Mu, Hengrun Zhang, Kai Zeng, Xiaofeng Liao
2021 conf
ICACI
Jintao Huang, Xiaofeng Liao, Nankun Mu, Yunhang Zhu
2021 conf
CollaborateCom (2)
Hongyu Huang, Guijun Fan, Yantao Li, Nankun Mu
2020 J jnl
Soft Comput.
Yu Zhai, Xiaofeng Liao, Nankun Mu, Junqing Le
2020 J jnl
IEEE Trans. Syst. Man Cybern. Syst.
Di Zhang, Junqing Le, Nankun Mu, Xiaofeng Liao
2020 J jnl
IEEE Trans. Syst. Man Cybern. Syst.
Junqing Le, Di Zhang, Nankun Mu, Xiaofeng Liao, Fan Yang
2020 conf
ICACI
Yang Hu, Nankun Mu, Xiaofeng Liao, Xinyu Lei
2020 J jnl
Sci. China Inf. Sci.
Dewen Qiao, Nankun Mu, Xiaofeng Liao, Junqing Le, Fan Yang
2019 conf
ISNN (2)
Shuangyi Xiao, Nankun Mu, Feng Chen
2019 J jnl
Eng. Appl. Artif. Intell.
Shaoxin Li, Nankun Mu, Junqing Le, Xiaofeng Liao
2019 J jnl
IEEE Trans. Cybern.
Nankun Mu, Yonghui Wu, Xiaofeng Liao, Tingwen Huang
2019 J jnl
Comput. Secur.
Shaoxin Li, Nankun Mu, Junqing Le, Xiaofeng Liao
2019 conf
SSCI
Nankun Mu, Aijuan Wang
2019 conf
SSCI
Lvhao Chen, Xiaofeng Liao, Nankun Mu, Jiahui Wu, Junqing Junqing
2019 conf
ICACI
Yu Zhai, Nankun Mu, Xiaofeng Liao, Junqing Le, Tingwen Huang
2018 C conf
ISNN
Qiuyu Lv, Nankun Mu, Xiaofeng Liao
2018 C conf
ISNN
Yonghui Wu, Nankun Mu
2018 C conf
ISNN
Fan Yang, Nankun Mu
2018 conf
ICONIP (7)
Aijuan Wang, Nankun Mu, Xiaofeng Liao
2018 J jnl
J. Frankl. Inst.
Nankun Mu, Xiaofeng Liao, Tingwen Huang
2018 C conf
ISNN
Jiaqi Bai, Tao Dong, Xiaofeng Liao, Nankun Mu
2016 J jnl
J. Frankl. Inst.
Nankun Mu, Xiaofeng Liao, Tingwen Huang
2015 J jnl
IEEE Trans. Circuits Syst. II Express Briefs
Nankun Mu, Xiaofeng Liao, Tingwen Huang
2015 J jnl
IEEE Trans. Circuits Syst. II Express Briefs
Nankun Mu, Xiaofeng Liao, Tingwen Huang
2014 B conf
IJCNN
Xiaofeng Liao, Nankun Mu
2013 conf
ISNN (1)
Nankun Mu, Xiaofeng Liao
tests/unit/test_decompile_analysis.py
← Index tests/unit/test_decompile_analysis.py python
"""Unit tests (mocked Binary Ninja) for analysis modules:
- bninja/analysis/cfg.py — CFGAnalysis
- bninja/analysis/disassembly.py — DisassemblyAnalysis
- bninja/analysis/low_level.py — LowLevelAnalysis
"""
import sys
import pytest
from unittest.mock import MagicMock

from tests.unit.conftest_binja_stubs import (
    install_binja_stubs,
    BranchType,
    InstructionTextTokenType,
    MockBasicBlock,
    MockEdge,
    MockFunction,
    MockToken,
    MockDisassemblyLine,
    MockBinaryView,
    MockSymbol,
    SymbolType,
    LowLevelILOperation,
)

install_binja_stubs()

from redb.extractors.decompiler.bninja.analysis.cfg import CFGAnalysis
from redb.extractors.decompiler.bninja.analysis.disassembly import DisassemblyAnalysis
from redb.extractors.decompiler.bninja.arch.x86 import Arch_x86


# ============================================================================
# 9a. CFGAnalysis
# ============================================================================


class TestCFGCyclomaticComplexity:
    def test_cyclomatic_complexity_linear(self):
        """Single block, no edges: E - N + 2 = 0 - 1 + 2 = 1."""
        block = MockBasicBlock(start=0x1000, end=0x1010, outgoing_edges=[])
        func = MockFunction(start=0x1000, basic_blocks=[block])
        cfg = CFGAnalysis(func)
        result = cfg.extract_function_cfg()
        assert result["cyclomatic_complexity"] == 1

    def test_cyclomatic_complexity_branch(self):
        """Diamond: 4 blocks, 4 edges -> 4 - 4 + 2 = 2."""
        entry = MockBasicBlock(start=0x1000, end=0x1010)
        true_b = MockBasicBlock(start=0x1010, end=0x1020)
        false_b = MockBasicBlock(start=0x1020, end=0x1030)
        merge = MockBasicBlock(start=0x1030, end=0x1040)

        entry.outgoing_edges = [MockEdge(target=true_b), MockEdge(target=false_b)]
        true_b.outgoing_edges = [MockEdge(target=merge)]
        false_b.outgoing_edges = [MockEdge(target=merge)]
        merge.outgoing_edges = []

        func = MockFunction(start=0x1000, basic_blocks=[entry, true_b, false_b, merge])
        cfg = CFGAnalysis(func)
        result = cfg.extract_function_cfg()
        assert result["cyclomatic_complexity"] == 2

    def test_cyclomatic_complexity_loop(self):
        """Loop: 3 blocks, 3 edges -> 3 - 3 + 2 = 2."""
        header = MockBasicBlock(start=0x1000, end=0x1010)
        body = MockBasicBlock(start=0x1010, end=0x1020)
        exit_b = MockBasicBlock(start=0x1020, end=0x1030)

        header.outgoing_edges = [MockEdge(target=body), MockEdge(target=exit_b)]
        body.outgoing_edges = [MockEdge(target=header)]
        exit_b.outgoing_edges = []

        func = MockFunction(start=0x1000, basic_blocks=[header, body, exit_b])
        cfg = CFGAnalysis(func)
        result = cfg.extract_function_cfg()
        assert result["cyclomatic_complexity"] == 2


class TestCFGExtractFunctionCFG:
    def _make_simple_cfg(self):
        """Create a simple two-block CFG for testing structure."""
        entry = MockBasicBlock(start=0x1000, end=0x1010)
        exit_b = MockBasicBlock(start=0x1010, end=0x1020)

        entry.outgoing_edges = [MockEdge(source=entry, target=exit_b, edge_type=BranchType.UnconditionalBranch)]
        exit_b.incoming_edges = [MockEdge(source=entry, target=exit_b)]
        exit_b.outgoing_edges = []
        entry.incoming_edges = []

        func = MockFunction(start=0x1000, basic_blocks=[entry, exit_b])
        return func

    def test_extract_function_cfg_structure(self):
        func = self._make_simple_cfg()
        cfg = CFGAnalysis(func)
        result = cfg.extract_function_cfg()
        assert "function_address" not in result
        # New schema: no "blocks" or "measures" nesting
        assert "blocks" not in result
        assert "measures" not in result

    def test_function_cfg_new_keys(self):
        """Assert all expected keys are present in the new output dict."""
        func = self._make_simple_cfg()
        cfg = CFGAnalysis(func)
        result = cfg.extract_function_cfg()
        expected_keys = [
            "cfg_topology_hash",
            "block_count",
            "edge_count",
            "llil_total_operations",
            "call_count",
            "cyclomatic_complexity",
            "loop_count",
            "max_depth",
            "max_fan_out",
            "md_index_topdown",
            "md_index_bottomup",
            "prime_product_llil",
            "cfg_feature_tlsh",
            "wl_minhash",
            "bb_features",
            "cfg_adjacency",
        ]
        for key in expected_keys:
            assert key in result, f"Missing key: {key}"

    def test_returns_none_for_empty_blocks(self):
        func = MockFunction(start=0x1000, basic_blocks=[])
        cfg = CFGAnalysis(func)
        assert cfg.extract_function_cfg() is None


class TestCFGTopologyHash:
    def _make_two_block_cfg(self):
        entry = MockBasicBlock(start=0x1000, end=0x1010)
        exit_b = MockBasicBlock(start=0x1010, end=0x1020)
        entry.outgoing_edges = [MockEdge(target=exit_b)]
        exit_b.outgoing_edges = []
        return MockFunction(start=0x1000, basic_blocks=[entry, exit_b])

    def test_topology_hash_is_16_bytes(self):
        func = self._make_two_block_cfg()
        cfg = CFGAnalysis(func)
        result = cfg.extract_function_cfg()
        assert isinstance(result["cfg_topology_hash"], bytes)
        assert len(result["cfg_topology_hash"]) == 16

    def test_topology_hash_deterministic(self):
        func = self._make_two_block_cfg()
        r1 = CFGAnalysis(func).extract_function_cfg()
        r2 = CFGAnalysis(func).extract_function_cfg()
        assert r1["cfg_topology_hash"] == r2["cfg_topology_hash"]


class TestCFGLoopCount:
    def test_no_loops(self):
        entry = MockBasicBlock(start=0x1000, end=0x1010)
        exit_b = MockBasicBlock(start=0x1010, end=0x1020)
        entry.outgoing_edges = [MockEdge(target=exit_b)]
        exit_b.outgoing_edges = []
        func = MockFunction(start=0x1000, basic_blocks=[entry, exit_b])
        result = CFGAnalysis(func).extract_function_cfg()
        assert result["loop_count"] == 0

    def test_single_loop(self):
        header = MockBasicBlock(start=0x1000, end=0x1010)
        body = MockBasicBlock(start=0x1010, end=0x1020)
        exit_b = MockBasicBlock(start=0x1020, end=0x1030)
        header.outgoing_edges = [MockEdge(target=body), MockEdge(target=exit_b)]
        body.outgoing_edges = [MockEdge(target=header)]
        exit_b.outgoing_edges = []
        func = MockFunction(start=0x1000, basic_blocks=[header, body, exit_b])
        result = CFGAnalysis(func).extract_function_cfg()
        assert result["loop_count"] == 1


class TestCFGMaxDepth:
    def test_max_depth_linear(self):
        entry = MockBasicBlock(start=0x1000, end=0x1010)
        b1 = MockBasicBlock(start=0x1010, end=0x1020)
        b2 = MockBasicBlock(start=0x1020, end=0x1030)
        entry.outgoing_edges = [MockEdge(target=b1)]
        b1.outgoing_edges = [MockEdge(target=b2)]
        b2.outgoing_edges = []
        func = MockFunction(start=0x1000, basic_blocks=[entry, b1, b2])
        result = CFGAnalysis(func).extract_function_cfg()
        assert result["max_depth"] == 2

    def test_max_depth_single_block(self):
        block = MockBasicBlock(start=0x1000, end=0x1010, outgoing_edges=[])
        func = MockFunction(start=0x1000, basic_blocks=[block])
        result = CFGAnalysis(func).extract_function_cfg()
        assert result["max_depth"] == 0


class TestCFGCollectBlockLlilOps:
    """Test that _collect_block_llil_ops correctly maps LLIL data to native blocks."""

    def test_llil_fields_nonzero_with_mock_llil(self):
        """When LLIL is available, llil_total_operations and call_count should be non-zero."""
        # Two native blocks
        entry = MockBasicBlock(start=0x1000, end=0x1010)
        exit_b = MockBasicBlock(start=0x1010, end=0x1020)
        entry.outgoing_edges = [MockEdge(target=exit_b)]
        exit_b.outgoing_edges = []

        # LLIL instructions: SET_REG, CALL in first block; STORE, RET in second
        llil_instrs_1 = [
            MockLLILInstruction(LowLevelILOperation.LLIL_SET_REG),
            MockLLILInstruction(LowLevelILOperation.LLIL_CALL),
        ]
        llil_instrs_2 = [
            MockLLILInstruction(LowLevelILOperation.LLIL_STORE),
            MockLLILInstruction(LowLevelILOperation.LLIL_RET),
        ]

        # LLIL basic blocks map back to native blocks via source_block
        llil_bb1 = MockLLILBasicBlock(llil_instrs_1, source_block=entry)
        llil_bb2 = MockLLILBasicBlock(llil_instrs_2, source_block=exit_b)
        llil_func = MockLLILFunction([llil_bb1, llil_bb2])

        func = MockFunction(start=0x1000, basic_blocks=[entry, exit_b], llil=llil_func)
        result = CFGAnalysis(func, llil_function=llil_func).extract_function_cfg()

        assert result["llil_total_operations"] == 4
        assert result["call_count"] == 1
        assert result["prime_product_llil"] != 0

    def test_llil_none_gives_zero_fields(self):
        """Without LLIL, LLIL-dependent fields should be zero."""
        block = MockBasicBlock(start=0x1000, end=0x1010, outgoing_edges=[])
        func = MockFunction(start=0x1000, basic_blocks=[block])
        result = CFGAnalysis(func).extract_function_cfg()

        assert result["llil_total_operations"] == 0
        assert result["call_count"] == 0
        assert result["prime_product_llil"] == 0

    def test_bb_features_with_llil(self):
        """bb_features should reflect LLIL instruction categories when LLIL is available."""
        block = MockBasicBlock(start=0x1000, end=0x1010, outgoing_edges=[])

        llil_instrs = [
            MockLLILInstruction(LowLevelILOperation.LLIL_ADD),
            MockLLILInstruction(LowLevelILOperation.LLIL_LOAD),
            MockLLILInstruction(LowLevelILOperation.LLIL_CALL),
        ]
        llil_bb = MockLLILBasicBlock(llil_instrs, source_block=block)
        llil_func = MockLLILFunction([llil_bb])

        func = MockFunction(start=0x1000, basic_blocks=[block])
        result = CFGAnalysis(func, llil_function=llil_func).extract_function_cfg()

        feats = result["bb_features"]
        assert len(feats) == 1
        assert feats[0][0] == 3  # instruction count = 3
        # At least one non-zero category count (not all OTHER)
        category_counts = feats[0][1:7]
        assert sum(category_counts) > 0


# ============================================================================
# 9b. DisassemblyAnalysis
# ============================================================================


class TestDisassemblyAnalysisGetJson:
    def _make_analysis(self, instructions=None, basic_blocks=None):
        arch = Arch_x86()
        if instructions is None:
            instructions = [
                (
                    [
                        MockToken("push", InstructionTextTokenType.InstructionToken),
                        MockToken(" ", InstructionTextTokenType.TextToken),
                        MockToken("rbp", InstructionTextTokenType.RegisterToken),
                    ],
                    0x1000,
                ),
                (
                    [
                        MockToken("mov", InstructionTextTokenType.InstructionToken),
                        MockToken(" ", InstructionTextTokenType.TextToken),
                        MockToken("rsp", InstructionTextTokenType.RegisterToken),
                    ],
                    0x1003,
                ),
            ]
        if basic_blocks is None:
            basic_blocks = [MockBasicBlock(
                start=0x1000, end=0x1010,
                disassembly_text=[MockDisassemblyLine([MockToken("push rbp")])]
            )]

        func = MockFunction(
            name="test_func",
            start=0x1000,
            basic_blocks=basic_blocks,
            instructions=instructions,
            symbol=MockSymbol(symbol_type=SymbolType.FunctionSymbol, name="test_func"),
            stack_adjustment=MagicMock(value=-8),
            mlil=None,
        )
        bv = MockBinaryView()
        logger = MagicMock()
        return DisassemblyAnalysis(arch, func, bv, logger)

    def test_get_json_basic_structure(self):
        da = self._make_analysis()
        result, errors = da.get_json()
        expected_keys = [
            "disassembled_function_hash",
            "disassembled_function",
            "disassembled_function_no_addresses",
            "disassembled_function_name",
            "disassembled_function_address",
            "instructions_count",
            "function_type",
            "instructions_types",
            "control_flow_count",
            "memory_access_pattern",
            "register_usage",
            "data_references_count",
        ]
        for key in expected_keys:
            assert key in result, f"Missing key: {key}"

    def test_get_json_hash_deterministic(self):
        da = self._make_analysis()
        r1, _ = da.get_json()
        da2 = self._make_analysis()
        r2, _ = da2.get_json()
        assert r1["disassembled_function_hash"] == r2["disassembled_function_hash"]


class TestDisassemblyCollectInstructionTypes:
    def test_collect_instruction_types(self):
        arch = Arch_x86()
        instructions = [
            ([MockToken("MOV", InstructionTextTokenType.InstructionToken)], 0x1000),
            ([MockToken("ADD", InstructionTextTokenType.InstructionToken)], 0x1001),
            ([MockToken("MOV", InstructionTextTokenType.InstructionToken)], 0x1002),
        ]
        func = MockFunction(start=0x1000, instructions=instructions, symbol=MockSymbol())
        da = DisassemblyAnalysis(arch, func, MockBinaryView(), MagicMock())
        types = da.collect_instruction_types()
        assert "DATA_MOVEMENT" in types
        assert "ARITHMETIC" in types

    def test_collect_instruction_types_empty(self):
        arch = Arch_x86()
        func = MockFunction(start=0x1000, instructions=[], symbol=MockSymbol())
        da = DisassemblyAnalysis(arch, func, MockBinaryView(), MagicMock())
        types = da.collect_instruction_types()
        assert types == {}


class TestDisassemblyMemoryPatterns:
    def _make_memory_instruction(self, tokens):
        return ([t for t in tokens], 0x1000)

    def test_collect_memory_patterns_stack(self):
        arch = Arch_x86()
        tokens = [
            MockToken("[", InstructionTextTokenType.BeginMemoryOperandToken),
            MockToken("RSP", InstructionTextTokenType.RegisterToken),
            MockToken("+0x8", InstructionTextTokenType.TextToken),
            MockToken("]", InstructionTextTokenType.EndMemoryOperandToken),
        ]
        instructions = [self._make_memory_instruction(tokens)]
        func = MockFunction(start=0x1000, instructions=instructions, symbol=MockSymbol())
        da = DisassemblyAnalysis(arch, func, MockBinaryView(), MagicMock())
        patterns = da.collect_memory_patterns()
        assert "MEM_STACK" in patterns

    def test_collect_memory_patterns_direct(self):
        arch = Arch_x86()
        tokens = [
            MockToken("[", InstructionTextTokenType.BeginMemoryOperandToken),
            MockToken("0x402000", InstructionTextTokenType.TextToken),
            MockToken("]", InstructionTextTokenType.EndMemoryOperandToken),
        ]
        instructions = [self._make_memory_instruction(tokens)]
        func = MockFunction(start=0x1000, instructions=instructions, symbol=MockSymbol())
        da = DisassemblyAnalysis(arch, func, MockBinaryView(), MagicMock())
        patterns = da.collect_memory_patterns()
        assert "MEM_DIRECT" in patterns

    def test_collect_memory_patterns_scaled(self):
        arch = Arch_x86()
        tokens = [
            MockToken("[", InstructionTextTokenType.BeginMemoryOperandToken),
            MockToken("RAX+RCX*4", InstructionTextTokenType.TextToken),
            MockToken("]", InstructionTextTokenType.EndMemoryOperandToken),
        ]
        instructions = [self._make_memory_instruction(tokens)]
        func = MockFunction(start=0x1000, instructions=instructions, symbol=MockSymbol())
        da = DisassemblyAnalysis(arch, func, MockBinaryView(), MagicMock())
        patterns = da.collect_memory_patterns()
        assert "MEM_SCALED_INDEX" in patterns

    def test_collect_memory_patterns_base_offset(self):
        arch = Arch_x86()
        tokens = [
            MockToken("[", InstructionTextTokenType.BeginMemoryOperandToken),
            MockToken("RAX+0x10", InstructionTextTokenType.TextToken),
            MockToken("]", InstructionTextTokenType.EndMemoryOperandToken),
        ]
        instructions = [self._make_memory_instruction(tokens)]
        func = MockFunction(start=0x1000, instructions=instructions, symbol=MockSymbol())
        da = DisassemblyAnalysis(arch, func, MockBinaryView(), MagicMock())
        patterns = da.collect_memory_patterns()
        assert "MEM_BASE_OFFSET" in patterns


class TestDisassemblyRegisterUsage:
    def test_collect_register_usage_gpr(self):
        arch = Arch_x86()
        instructions = [
            ([MockToken("RAX", InstructionTextTokenType.RegisterToken)], 0x1000),
        ]
        func = MockFunction(start=0x1000, instructions=instructions, symbol=MockSymbol())
        da = DisassemblyAnalysis(arch, func, MockBinaryView(), MagicMock())
        regs = da.collect_register_usage()
        assert "GPR" in regs

    def test_collect_register_usage_simd(self):
        arch = Arch_x86()
        instructions = [
            ([MockToken("XMM0", InstructionTextTokenType.RegisterToken)], 0x1000),
        ]
        func = MockFunction(start=0x1000, instructions=instructions, symbol=MockSymbol())
        da = DisassemblyAnalysis(arch, func, MockBinaryView(), MagicMock())
        regs = da.collect_register_usage()
        assert "SIMD" in regs

    def test_collect_register_usage_fpu(self):
        arch = Arch_x86()
        instructions = [
            ([MockToken("ST0", InstructionTextTokenType.RegisterToken)], 0x1000),
        ]
        func = MockFunction(start=0x1000, instructions=instructions, symbol=MockSymbol())
        da = DisassemblyAnalysis(arch, func, MockBinaryView(), MagicMock())
        regs = da.collect_register_usage()
        assert "FPU" in regs


class TestDisassemblyMisc:
    def test_count_data_references(self):
        arch = Arch_x86()
        func = MockFunction(start=0x1000, instructions=[], symbol=MockSymbol(), mlil=None)
        da = DisassemblyAnalysis(arch, func, MockBinaryView(), MagicMock())
        assert da.count_data_references() == 0

    def test_compute_max_block_size(self):
        arch = Arch_x86()
        blocks = [
            MockBasicBlock(disassembly_text=[MockDisassemblyLine([]) for _ in range(3)]),
            MockBasicBlock(disassembly_text=[MockDisassemblyLine([]) for _ in range(5)]),
        ]
        func = MockFunction(start=0x1000, basic_blocks=blocks, instructions=[], symbol=MockSymbol())
        da = DisassemblyAnalysis(arch, func, MockBinaryView(), MagicMock())
        assert da.compute_max_block_size() == 5

    def test_compute_num_calls(self):
        arch = Arch_x86()
        instructions = [
            ([MockToken("CALL", InstructionTextTokenType.InstructionToken)], 0x1000),
            ([MockToken("MOV", InstructionTextTokenType.InstructionToken)], 0x1005),
            ([MockToken("CALL", InstructionTextTokenType.InstructionToken)], 0x1010),
        ]
        func = MockFunction(start=0x1000, instructions=instructions, symbol=MockSymbol())
        da = DisassemblyAnalysis(arch, func, MockBinaryView(), MagicMock())
        assert da.compute_num_calls() == 2

    def test_estimate_stack_size_value(self):
        arch = Arch_x86()
        stack = MagicMock()
        stack.value = -16
        func = MockFunction(start=0x1000, instructions=[], symbol=MockSymbol(), stack_adjustment=stack)
        da = DisassemblyAnalysis(arch, func, MockBinaryView(), MagicMock())
        assert da.estimate_stack_size() == -16

    def test_estimate_stack_size_int(self):
        arch = Arch_x86()
        func = MockFunction(start=0x1000, instructions=[], symbol=MockSymbol(), stack_adjustment=-8)
        da = DisassemblyAnalysis(arch, func, MockBinaryView(), MagicMock())
        assert da.estimate_stack_size() == -8

    def test_normalize_opcode(self):
        arch = Arch_x86()
        func = MockFunction(start=0x1000, instructions=[], symbol=MockSymbol())
        da = DisassemblyAnalysis(arch, func, MockBinaryView(), MagicMock())
        assert da.normalize_opcode("mov") == "MOV"
        assert da.normalize_opcode("PUSH") == "PUSH"


# ============================================================================
# 9c. LowLevelAnalysis (basic tests with mocked LLIL)
# ============================================================================


class MockLLILInstruction:
    """Mock LLIL instruction for low_level.py tests."""
    def __init__(self, operation, operands=None, address=0):
        self.operation = operation
        self.operands = operands or []
        self.address = address

    def __str__(self):
        return f"LLIL_{self.operation}"


class MockLLILBasicBlock:
    def __init__(self, instructions, source_block=None):
        self._instructions = instructions
        self.source_block = source_block

    def __iter__(self):
        return iter(self._instructions)


class MockLLILFunction:
    def __init__(self, basic_blocks):
        self.basic_blocks = basic_blocks
        self._instructions = []
        for bb in basic_blocks:
            self._instructions.extend(bb._instructions)

    @property
    def instructions(self):
        return iter(self._instructions)

    @property
    def source_function(self):
        mock = MagicMock()
        mock.start = 0x1000
        return mock


class TestLowLevelAnalysisCountControlFlow:
    def test_count_control_flow_instructions(self):
        from redb.extractors.decompiler.bninja.analysis.low_level import LowLevelAnalysis
        instrs = [
            MockLLILInstruction(LowLevelILOperation.LLIL_IF),
            MockLLILInstruction(LowLevelILOperation.LLIL_SET_REG),
            MockLLILInstruction(LowLevelILOperation.LLIL_CALL),
            MockLLILInstruction(LowLevelILOperation.LLIL_GOTO),
        ]
        bb = MockLLILBasicBlock(instrs)
        llil_func = MockLLILFunction([bb])

        func = MockFunction(start=0x1000, llil=llil_func, symbol=MockSymbol())
        func.low_level_il = None
        bv = MockBinaryView()
        bv.arch = MagicMock()
        bv.arch.stack_pointer = "sp"
        la = LowLevelAnalysis(func, bv, MagicMock())
        assert la.count_control_flow_instructions() == 3  # IF, CALL, GOTO


class TestLowLevelAnalysisNumCalls:
    def test_compute_num_calls_llil(self):
        from redb.extractors.decompiler.bninja.analysis.low_level import LowLevelAnalysis
        instrs = [
            MockLLILInstruction(LowLevelILOperation.LLIL_CALL),
            MockLLILInstruction(LowLevelILOperation.LLIL_TAILCALL),
            MockLLILInstruction(LowLevelILOperation.LLIL_SET_REG),
        ]
        bb = MockLLILBasicBlock(instrs)
        llil_func = MockLLILFunction([bb])

        func = MockFunction(start=0x1000, llil=llil_func, symbol=MockSymbol())
        func.low_level_il = None
        bv = MockBinaryView()
        la = LowLevelAnalysis(func, bv, MagicMock())
        assert la.compute_num_calls() == 2


class TestLowLevelAnalysisCollectNormalization:
    def test_collect_low_level(self):
        from redb.extractors.decompiler.bninja.analysis.low_level import LowLevelAnalysis
        instrs = [
            MockLLILInstruction(LowLevelILOperation.LLIL_SET_REG, address=0x1000),
            MockLLILInstruction(LowLevelILOperation.LLIL_STORE, address=0x1004),
        ]
        bb = MockLLILBasicBlock(instrs)
        llil_func = MockLLILFunction([bb])

        func = MockFunction(start=0x1000, llil=llil_func, symbol=MockSymbol())
        func.low_level_il = None
        bv = MockBinaryView()
        la = LowLevelAnalysis(func, bv, MagicMock())
        result, _ = la._collect_low_level_and_with_addr()
        assert len(result) == 2
        # Each item is a list of operation ints
        assert isinstance(result[0], list)

    def test_collect_low_level_with_addr_offset_clamping(self):
        from redb.extractors.decompiler.bninja.analysis.low_level import LowLevelAnalysis
        instrs = [
            MockLLILInstruction(LowLevelILOperation.LLIL_SET_REG, address=0x0FFF),  # Before function start
        ]
        bb = MockLLILBasicBlock(instrs)
        llil_func = MockLLILFunction([bb])

        func = MockFunction(start=0x1000, llil=llil_func, symbol=MockSymbol())
        func.low_level_il = None
        bv = MockBinaryView()
        la = LowLevelAnalysis(func, bv, MagicMock())
        _, result = la._collect_low_level_and_with_addr()
        assert len(result) == 1
        offset, _ = result[0]
        assert offset == 0  # Clamped to 0