Kashif Shah

33 papers A* 1A 1B 3C 1Misc 4Journal 6Unranked 16
YearRankTypeTitle / Venue / Authors
2022 conf
ACL (2)
Hyunji Hayley Park, Yogarshi Vyas, Kashif Shah
2022 J jnl
CoRR
Hyunji Hayley Park, Yogarshi Vyas, Kashif Shah
2021 J jnl
CoRR
Paula Czarnowska, Yogarshi Vyas, Kashif Shah
2021 J jnl
Trans. Assoc. Comput. Linguistics
Paula Czarnowska, Yogarshi Vyas, Kashif Shah
2020 Misc conf
AMTA
Kashif Shah, Loïc Barrault, Holger Schwenk
2018 conf
NAACL-HLT (3)
Kashif Shah, Selçuk Köprü, Jean-David Ruvini
2016 B conf
LREC
Murad Abouammoh, Kashif Shah, Ahmet Aker
2016 Misc conf
ICASSP
Raymond W. M. Ng, Kashif Shah, Lucia Specia, Thomas Hain
2016 conf
HLT-NAACL
Kashif Shah, Lucia Specia
2016 conf
WMT
Kashif Shah, Fethi Bougares, Loïc Barrault, Lucia Specia
2016 conf
WMT
Kashif Shah, Josiah Wang, Lucia Specia
2016 conf
SemEval@NAACL-HLT
Ahmet Aker, Frédéric Blain, Andrés Duque, Marina Fomicheva, Jurica Seva, Kashif Shah, Daniel Beck
2016 conf
WMT
Carolina Scarton, Daniel Beck, Kashif Shah, Karin Sim Smith, Lucia Specia
2015 J jnl
Mach. Transl.
Kashif Shah, Trevor Cohn, Lucia Specia
2015 A conf
INTERSPEECH
Raymond W. M. Ng, Kashif Shah, Lucia Specia, Thomas Hain
2015 A* conf
EMNLP
Kashif Shah, Raymond W. M. Ng, Fethi Bougares, Lucia Specia
2015 Misc conf
ICASSP
Raymond W. M. Ng, Kashif Shah, Wilker Aziz, Lucia Specia, Thomas Hain
2015 conf
WMT@EMNLP
Kashif Shah, Varvara Logacheva, Gustavo Paetzold, Frédéric Blain, Daniel Beck, Fethi Bougares, Lucia Specia
2015 J jnl
CoRR
Raymond W. M. Ng, Mortaza Doulaty, Rama Doddipatla, Wilker Aziz, Kashif Shah, Oscar Saz, Madina Hasan, Ghada AlHarbi, Lucia Specia, Thomas Hain
2014 B conf
LREC
Kashif Shah, Marco Turchi, Lucia Specia
2014 Misc conf
AMTA
Lucia Specia, Kashif Shah
2014 conf
WPTP@ATMA
Lucia Specia, Kashif Shah
2014 C conf
EAMT
Kashif Shah, Lucia Specia
2014 conf
WMT@ACL
Daniel Beck, Kashif Shah, Lucia Specia
2014 conf
IWSLT (Evaluation Campaign)
Raymond W. M. Ng, Mortaza Doulaty, Rama Doddipatla, Wilker Aziz, Kashif Shah, Oscar Saz, Madina Hasan, Ghada AlHaribi, Lucia Specia, Thomas Hain
2013 conf
MTSummit
Kashif Shah, Trevor Conn, Lucia Specia
2013 conf
ACL (Conference System Demonstrations)
Lucia Specia, Kashif Shah, José G. C. de Souza, Trevor Cohn
2013 J jnl
Prague Bull. Math. Linguistics
Kashif Shah, Eleftherios Avramidis, Ergun Biçici, Lucia Specia
2013 conf
WMT@ACL
Daniel Beck, Kashif Shah, Trevor Cohn, Lucia Specia
2012
Kashif Shah
2011 conf
WMT@EMNLP
Holger Schwenk, Patrik Lambert, Loïc Barrault, Christophe Servan, Sadaf Abdul-Rauf, Haithem Afli, Kashif Shah
2011 B conf
IJCNLP
Kashif Shah, Loïc Barrault, Holger Schwenk
2010 conf
WMT@ACL
Kashif Shah, Loïc Barrault, Holger Schwenk
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