{"type":"thread.started","thread_id":"01a02cb3-aa88-7103-a929-35e2072eb66c"}
{"type":"turn.started"}
{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"I’ll inspect the existing interpreter structure first, then implement the function-definition/scoping layer and run the declared `def ` conformance slice plus focused checks."}}
{"type":"item.started","item":{"id":"item_1","type":"command_execution","command":"/bin/bash -lc \"pwd && rg --files -g '\"'!sources/**'\"' -g '\"'!__pycache__/**'\"' | sort && printf '\\\\n--- root ---\\\\n' && ls -la\"","aggregated_output":"","exit_code":null,"status":"in_progress"}}
{"type":"item.completed","item":{"id":"item_1","type":"command_execution","command":"/bin/bash -lc \"pwd && rg --files -g '\"'!sources/**'\"' -g '\"'!__pycache__/**'\"' | sort && printf '\\\\n--- root ---\\\\n' && ls -la\"","aggregated_output":"/mnt/c/Users/barlo/projects/drydock/uat/jq/runs/20260822.044627/build/jq\njq\njq_interpreter/__init__.py\njq_interpreter/architecture.py\njq_interpreter/ast.py\njq_interpreter/builtins.py\njq_interpreter/cli.py\njq_interpreter/diagnostics.py\njq_interpreter/errors.py\njq_interpreter/evaluator.py\njq_interpreter/interpreter.py\njq_interpreter/lexer.py\njq_interpreter/parser.py\njq_interpreter/paths.py\njq_interpreter/runtime.py\ntests/conftest.py\ntests/test_architecture.py\ntests/test_conf_001_acceptance.py\ntests/test_conformance_assets.py\ntests/test_core_002_composition.py\ntests/test_core_003_errors.py\ntests/test_core_004_truthiness_comparison.py\ntests/test_flow_001_operators.py\ntests/test_flow_002_boolean_alternative.py\ntests/test_flow_003_conditionals_exceptions.py\ntests/test_flow_004_labels_breaks.py\ntests/test_flow_005_reductions_iteration.py\ntests/test_flow_006_recursive_generators.py\ntests/test_func_002_parameters.py\ntests/test_json_io.py\ntests/test_lexer.py\ntests/test_parse_002.py\ntests/test_service_lexical_bindings.py\ntests/test_stream_evaluator.py\ntests/test_value_001.py\ntests/test_value_002_access.py\ntests/test_value_003_slices_iteration.py\ntests/test_value_004.py\n\n--- root ---\ntotal 0\ndrwxrwxrwx 1 barlo barlo 512 Aug 22 17:18 .\ndrwxrwxrwx 1 barlo barlo 512 Aug 22 00:46 ..\n-rwxrwxrwx 1 barlo barlo 493 Aug 22 15:49 jq\ndrwxrwxrwx 1 barlo barlo 512 Aug 22 19:49 jq_interpreter\ndrwxrwxrwx 1 barlo barlo 512 Aug 22 19:58 sources\ndrwxrwxrwx 1 barlo barlo 512 Aug 22 23:34 tests\n","exit_code":0,"status":"completed"}}
{"type":"item.started","item":{"id":"item_2","type":"command_execution","command":"/bin/bash -lc \"sed -n '1,260p' jq_interpreter/ast.py && sed -n '1,340p' jq_interpreter/parser.py\"","aggregated_output":"","exit_code":null,"status":"in_progress"}}
{"type":"item.completed","item":{"id":"item_2","type":"command_execution","command":"/bin/bash -lc \"sed -n '1,260p' jq_interpreter/ast.py && sed -n '1,340p' jq_interpreter/parser.py\"","aggregated_output":"t debug implode explode trim ltrim rtrim isempty have_decnum gmtime'.split())\n    if isinstance(result, Node) and result.operation == 'call' and not result.arguments[1] and result.arguments[0] not in known:\n        raise CompileError('unknown filter')\n    return result\n\n\n_PREDEFINED_VARIABLES = {'ENV', 'JQ_BUILD_CONFIGURATION', 'ARGS', '__loc__'}\n\n\ndef _validate_variables(node: Filter, visible: frozenset[str] = frozenset()) -> None:\n    \"\"\"Check value-variable references against their lexical scope.\n\n    Bindings are query constructs: the source expression sees the incoming\n    scope, while the remainder sees a child scope containing the pattern's\n    names.  Walking the AST here keeps an undefined variable a compile error\n    and avoids the tempting (and incorrect) global mutable-variable model.\n    \"\"\"\n    if not isinstance(node, Node):\n        return\n    op, args = node.operation, node.arguments\n    if op == 'var':\n        if args[0] not in visible and args[0] not in _PREDEFINED_VARIABLES:\n            raise CompileError(f'variable ${args[0]} is not defined')\n        return\n    if op == 'bind':\n        _validate_variables(args[0], visible)\n        _validate_pattern_expressions(args[1], visible)\n        _validate_variables(args[2], visible | frozenset(_pattern_variable_names(args[1])))\n        return\n    if op in ('reduce', 'foreach'):\n        _validate_variables(args[0], visible)\n        _validate_pattern_expressions(args[1], visible)\n        names = visible | frozenset(_pattern_variable_names(args[1]))\n        _validate_variables(args[2], visible)\n        _validate_variables(args[3], names)\n        if args[4] is not None:\n            _validate_variables(args[4], names)\n        return\n    if op == 'def':\n        _validate_variables(args[2], visible | frozenset(_formal_name(p) for p in args[1]))\n","exit_code":0,"status":"completed"}}
{"type":"item.started","item":{"id":"item_3","type":"command_execution","command":"/bin/bash -lc \"sed -n '340,760p' jq_interpreter/parser.py && sed -n '1,420p' jq_interpreter/evaluator.py && sed -n '1,300p' jq_interpreter/interpreter.py\"","aggregated_output":"","exit_code":null,"status":"in_progress"}}
{"type":"item.completed","item":{"id":"item_3","type":"command_execution","command":"/bin/bash -lc \"sed -n '340,760p' jq_interpreter/parser.py && sed -n '1,420p' jq_interpreter/evaluator.py && sed -n '1,300p' jq_interpreter/interpreter.py\"","aggregated_output":"        _validate_variables(args[2], visible | frozenset(_formal_name(p) for p in args[1]))\n        return\n    if op == 'defprog':\n        _validate_variables(args[0], visible)\n        _validate_variables(args[1], visible)\n        return\n    for argument in args:\n        _validate_variable_value(argument, visible)\n\n\ndef _validate_variable_value(value: object, visible: frozenset[str]) -> None:\n    if isinstance(value, Node):\n        _validate_variables(value, visible)\n    elif isinstance(value, (tuple, list)):\n        for item in value:\n            _validate_variable_value(item, visible)\n\n\ndef _validate_pattern_expressions(pattern: Node, visible: frozenset[str]) -> None:\n    if pattern.operation == 'pattern_alt':\n        _validate_pattern_expressions(pattern.arguments[0], visible)\n        _validate_pattern_expressions(pattern.arguments[1], visible)\n    elif pattern.operation == 'pattern_array':\n        for child in pattern.arguments[0]:\n            _validate_pattern_expressions(child, visible)\n    elif pattern.operation == 'pattern_object':\n        for key, child in pattern.arguments[0]:\n            if isinstance(key, Node):\n                _validate_variables(key, visible)\n            _validate_pattern_expressions(child, visible)\n\n\ndef _pattern_variable_names(pattern: Node) -> set[str]:\n    op, args = pattern.operation, pattern.arguments\n    if op == 'pattern_var':\n        return {args[0]}\n    if op == 'pattern_bind':\n        return {args[0]} | _pattern_variable_names(args[1])\n    if op == 'pattern_array':\n        names: set[str] = set()\n        for child in args[0]:\n            names |= _pattern_variable_names(child)\n        return names\n    if op == 'pattern_object':\n        names = set()\n        for _, child in args[0]:\n            names |= _pattern_variable_names(child)\n        return names\n    if op == 'pattern_alt':\n        return _pattern_variable_names(args[0]) | _pattern_variable_names(args[1])\n    return set()\n\n\ndef _formal_name(formal: str) -> str:\n    \"\"\"Return the variable name exposed by a function formal.\"\"\"\n    return formal[1:] if formal.startswith('$') else formal\n\n\ndef _validate_labels(node: Filter, visible: tuple[str, ...] = ()) -> None:\n    \"\"\"Reject breaks whose label is not lexically visible at the break.\n\n    A source-wide search cannot model jq's lexical scope: a label in a\n    sibling expression (or to the right of a break) must not make that break\n    valid.  Walking the parsed tree also keeps labels inside strings and\n    comments out of the validation surface.\n    \"\"\"\n    if not isinstance(node, Node):\n        return\n    if node.operation == 'label':\n        _validate_labels(node.arguments[1], visible + (node.arguments[0],))\n        return\n    if node.operation == 'break':\n        if node.arguments[0] not in visible:\n            raise CompileError('break label is not defined')\n        return\n    for argument in node.arguments:\n        if isinstance(argument, Filter):\n            _validate_labels(argument, visible)\n        elif isinstance(argument, (tuple, list)):\n            for item in argument:\n                if isinstance(item, Filter):\n                    _validate_labels(item, visible)\n                elif isinstance(item, tuple):\n                    for nested in item:\n                        if isinstance(nested, Filter):\n                            _validate_labels(nested, visible)\n\"\"\"Ordered generator evaluator boundary.\"\"\"\nimport json\nimport math\nimport datetime\nimport itertools\nimport sys\n\nfrom .ast import Add, Array, Comma, Filter, Format, Identity, Iterate, Literal, Limit, Node, Pipe, Raise, StringTemplate\nfrom .errors import FLOW_RUNTIME_ERRORS, RuntimeError\nfrom .runtime import JsonValue, ValueStream, identity_stream\n\n\nclass _OverflowFloat(float):\n    \"\"\"A parsed exponent overflow that jq still emits as a JSON number.\"\"\"\n\n    pass\n\n\ndef evaluate(program: Filter, value: JsonValue) -> ValueStream:\n    \"\"\"Evaluate one input as an ordered stream of output values.\"\"\"\n    if isinstance(program, Node):\n        yield from _node(program, value, {})\n        return\n    if isinstance(program, Identity):\n        yield from identity_stream(value)\n        return\n    if isinstance(program, Iterate):\n        yield from _iter_values(value)\n        return\n    if isinstance(program, Literal):\n        yield program.value\n        return\n    if isinstance(program, Pipe):\n        for intermediate in evaluate(program.left, value): yield from evaluate(program.right, intermediate)\n        return\n    if isinstance(program, Add):\n        left = list(evaluate(program.left, value))\n        right = list(evaluate(program.right, value))\n        for first in left:\n            for second in right:\n                if isinstance(first, (int, float)) and isinstance(second, (int, float)):\n                    yield first + second\n                elif isinstance(first, str) and isinstance(second, str): yield first + second\n                elif first is None: yield second\n                elif second is None: yield first\n                else: raise RuntimeError(\"cannot add values\")\n        return\n    if isinstance(program, StringTemplate):\n        pieces: list[str] = []\n        for part in program.parts:\n            pieces.append(part if isinstance(part, str) else \"\".join(_stringify(x) for x in evaluate(part, value)))\n        yield \"\".join(pieces)\n        return\n    if isinstance(program, Format):\n        if program.template is None: yield _apply_format(program.name, value)\n        else:\n            pieces: list[str] = []\n            for part in program.template.parts:\n                if isinstance(part, str): pieces.append(part)\n                else:\n                    pieces.extend(_apply_format(program.name, item) for item in evaluate(part, value))\n            yield \"\".join(pieces)\n        return\n    if isinstance(program, Comma):\n        yield from evaluate(program.left, value)\n        yield from evaluate(program.right, value)\n        return\n    if isinstance(program, Raise):\n        raise RuntimeError(program.message)\n    if isinstance(program, Array):\n        yield list(evaluate(program.expression, value))\n        return\n    if isinstance(program, Limit):\n        outputs = iter(evaluate(program.expression, value))\n        for _ in range(program.count):\n            try:\n                yield next(outputs)\n            except StopIteration:\n                break\n        return\n    raise RuntimeError(\"unknown compiled filter\")\n\ndef _node(node: Node, value: object, env: dict[str, object]) -> ValueStream:\n    op, a = node.operation, node.arguments\n    if op == \"identity\": yield value\n    elif op == \"literal\":\n        text=a[0]; special={\"true\":True,\"false\":False,\"null\":None,\"nan\":float(\"nan\"),\"infinite\":float(\"inf\"),\"-infinite\":float(\"-inf\"),\"-nan\":float(\"nan\")}\n        if text in special:\n            yield special[text]\n        else:\n            parsed = json.loads(text)\n            if isinstance(parsed, int) and abs(parsed) > 2**53:\n                parsed = float(parsed)\n            if isinstance(parsed, float) and math.isinf(parsed):\n                parsed = _OverflowFloat(parsed)\n            yield parsed\n    elif op == \"string\": yield _decode_string(a[0], value, env)\n    elif op == \"format\": yield _apply_format(a[0], value)\n    elif op == \"format_template\":\n        # Interpolation is evaluated first; the formatter consumes the\n        # resulting string (not the original input value).\n        yield _apply_format(a[0], _decode_string(a[1], value, env))\n    elif op == \"var\":\n        if a[0] == '__loc__':\n            yield {'file': '<top-level>', 'line': 1}\n            return\n        if a[0] in env and not isinstance(env[a[0]], tuple):\n            bound = env[a[0]]\n            if isinstance(bound, Node): yield from _node(bound, value, env)\n            else: yield bound\n            return\n        if a[0] in env.get('__params__', {}):\n            captured, argument = env['__params__'][a[0]]\n            yield from _node(argument, value, captured)\n            return\n        if a[0] not in env: raise RuntimeError(f\"variable ${a[0]} is not defined\")\n        bound = env[a[0]]\n        if isinstance(bound, tuple) and bound and bound[0] == '__closure__':\n            yield from _node(bound[1], value, {**env, **bound[2]})\n        elif isinstance(bound, Node):\n            yield from _node(bound, value, env)\n        else:\n            yield bound\n    elif op == \"bind\":\n        for item in _node(a[0], value, env):\n            bound=dict(env)\n            _initialize_pattern(a[1], bound)\n            if not _bind_pattern(a[1], item, bound):\n                continue\n            # `exp as $x | rest` binds the value produced by exp while the\n            # remainder continues with the original input.\n            yield from _node(a[2], value, bound)\n    elif op == \"field\": yield _index(value, a[0])\n    elif op == \"recurse\":\n        # The parser uses this node for the recursive-descent operator.  Keep\n        # the traversal depth-first and source ordered, matching recurse(.[]?).\n        def walk(item):\n            yield item\n            if isinstance(item, list):\n                for child in item:\n                    yield from walk(child)\n            elif isinstance(item, dict):\n                for child in item.values():\n                    yield from walk(child)\n        yield from walk(value)\n    elif op == \"index\":\n        for base in _node(a[0],value,env): yield _index(base,a[1])\n    elif op == \"iterate\":\n        for base in _node(a[0],value,env):\n            yield from _iter_values(base)\n    elif op in (\"indexexpr\",\"slice\"):\n        for base in _node(a[0],value,env):\n            if op==\"slice\":\n                # Slice bounds are filters over the surrounding input, not\n                # over the value being sliced (for example map([1,2][0:.])).\n                start=_one(a[1],value,env); end=None if a[2] is None else _one(a[2],value,env)\n                import math as _math\n                if base is None:\n                    yield None\n                elif isinstance(base, (list, str)):\n                    # jq clamps slice bounds to the collection and rounds\n                    # fractional starts down / ends up.  Resolve the bounds\n                    # only after checking the base so slicing null retains\n                    # jq's null-propagating access behavior.\n                    first = 0 if start is None or (isinstance(start, float) and _math.isnan(start)) else _math.floor(start)\n                    last = None if end is None or (isinstance(end, float) and _math.isnan(end)) else _math.ceil(end)\n                    if first < 0: first = max(0, len(base) + int(first))\n                    if last is not None and last < 0: last = max(0, len(base) + int(last))\n                    yield base[int(first):None if last is None else int(last)]\n                else:\n                    raise RuntimeError(f'Cannot slice {_type_name(base)}')\n            else:\n                for key in _node(a[1], value, env):\n                    yield _index(base, key)\n    elif op == \"array\": yield [] if a[0] is None else list(_node(a[0],value,env))\n    elif op == \"object\":\n        results=[{}]\n        for key, expr in a[0]:\n            keys=list(_node(key,value,env))\n            values=list(_node(expr,value,env))\n            expanded=[]\n            for prior in results:\n                for k in keys:\n                    for v in values:\n                        item=dict(prior); item[str(k)]=v; expanded.append(item)\n            results=expanded\n        yield from results\n    elif op == \"binary\": yield from _binary(a[0],a[1],a[2],value,env)\n    elif op == \"unary\":\n        # Unary operators are filters and must preserve generator\n        # multiplicity (``-.[]`` negates every array element).\n        for x in _node(a[1], value, env):\n            if not _is_number(x):\n                raise RuntimeError(f\"{_type_name(x)} ({_short(x)}) cannot be negated\")\n            yield _OverflowFloat(-x) if isinstance(x, _OverflowFloat) else -x\n    elif op == \"optional\":\n        stream = iter(_node(a[0], value, env))\n        while True:\n            try:\n                yield next(stream)\n            except StopIteration:\n                return\n            except FLOW_RUNTIME_ERRORS:\n                return\n    elif op == \"if\":\n        # The condition is a filter, not a scalar expression.  jq evaluates\n        # each condition result independently and therefore may select both\n        # branches for one input.\n        for condition in _node(a[0], value, env):\n            branch = a[1] if _truth(condition) else a[2]\n            yield from _node(branch, value, env)\n    elif op == \"try\":\n        try: yield from _node(a[0],value,env)\n        except FLOW_RUNTIME_ERRORS as error:\n            if a[1] is not None:\n                caught = error.args[0] if error.args else str(error)\n                yield from _node(a[1],caught,env)\n    elif op == \"label\":\n        try: yield from _node(a[1], value, {**env, '__label__': a[0]})\n        except _Break as exc:\n            if exc.name != a[0]: raise\n    elif op == \"break\":\n        raise _Break(a[0])\n    elif op in (\"reduce\", \"foreach\"):\n        states=list(_node(a[0], value, env))\n        # Binary filters in jq are generator products whose divisor-side\n        # stream is advanced outermost.  This matters for reductions and\n        # foreach because their state observes the ordering, even though the\n        # resulting multiset is unchanged.\n        source = a[0]\n        if (source.operation == 'binary' and source.arguments[0] == '/'\n                and source.arguments[1].operation == 'iterate'\n                and source.arguments[2].operation == 'iterate'):\n            left = list(_node(source.arguments[1], value, env))\n            right = list(_node(source.arguments[2], value, env))\n            states = [x / y for y in right for x in left]\n        initial=list(_node(a[2], value, env))\n        if op == 'foreach':\n            for start in initial:\n                current = start\n                for item in states:\n                    bound=dict(env)\n                    if not _bind_pattern(a[1], item, bound): continue\n                    outputs=list(_node(a[3], current, bound))\n                    for result in outputs:\n                        current = result\n                        if a[4] is None: yield result\n                        else: yield from _node(a[4], result, bound)\n            return\n        currents=initial\n        for item in states:\n            next_currents=[]\n            for current in currents:\n                bound=dict(env)\n                _initialize_pattern(a[1], bound)\n                if not _bind_pattern(a[1], item, bound):\n                    continue\n                next_currents.extend(_node(a[3], current, bound))\n            currents=next_currents\n            if op == \"foreach\":\n                if a[4] is None:\n                    yield from currents\n                else:\n                    for result in currents: yield from _node(a[4], result, env)\n        if op==\"reduce\": yield from currents\n    elif op == \"call\": yield from _call(a[0],a[1],value,env)\n    elif op == \"def\":\n        env.setdefault('__funcs__',{})[(a[0], len(a[1]))]=(a[1],a[2])\n        yield value\n    elif op == \"defprog\":\n        funcs=dict(env.get('__funcs__',{}))\n        definitions=[]\n        program: Node = node\n        while program.operation == 'defprog':\n            definitions.append(program.arguments[0].arguments)\n            program = program.arguments[1]\n        # Each definition captures the overload set visible at its point of\n        # declaration.  Later redefinitions affect the remainder of the\n        # program but do not retroactively change earlier function bodies.\n        for name, params, body in definitions:\n            closure = dict(funcs)\n            function = (params, body, closure)\n            closure[(name, len(params))] = function  # permit recursion\n            funcs[(name, len(params))] = function\n        yield from _node(program, value, {**env, '__funcs__': funcs})\n    elif op == \"unsupported\": raise RuntimeError(\"unsupported syntax\")\n\nclass _Break(Exception):\n    def __init__(self, name): self.name=name\n\ndef _bind_pattern(pattern, value, env):\n    op, args=pattern.operation, pattern.arguments\n    if op=='pattern_alt':\n        first, second=args\n        trial=dict(env)\n        if _bind_pattern(first,value,trial): env.update(trial); return True\n        return _bind_pattern(second,value,env)\n    if op=='pattern_var': env[args[0]]=value; return True\n    elif op == 'pattern_bind':\n        env[args[0]] = value\n        return _bind_pattern(args[1], value, env)\n    elif op=='pattern_array':\n        if not isinstance(value,list): return False\n        for i,p in enumerate(args[0]):\n            if not _bind_pattern(p, value[i] if i<len(value) else None, env): return False\n        return True\n    elif op=='pattern_object':\n        if not isinstance(value,dict): return False\n        for key,p in args[0]:\n            if isinstance(key, Node):\n                key = _one(key, value, env)\n            if not _bind_pattern(p, value.get(key), env): return False\n        return True\n    return False\n\ndef _pattern_names(pattern):\n    op, args = pattern.operation, pattern.arguments\n    if op == 'pattern_var': return {args[0]}\n    if op == 'pattern_bind': return {args[0]} | _pattern_names(args[1])\n    if op == 'pattern_array':\n        result = set()\n        for child in args[0]: result |= _pattern_names(child)\n        return result\n    if op == 'pattern_object':\n        result = set()\n        for _, child in args[0]: result |= _pattern_names(child)\n        return result\n    if op == 'pattern_alt': return _pattern_names(args[0]) | _pattern_names(args[1])\n    return set()\n\ndef _initialize_pattern(pattern, env):\n    op, args = pattern.operation, pattern.arguments\n    if op == 'pattern_var': env.setdefault(args[0], None)\n    elif op == 'pattern_bind':\n        env.setdefault(args[0], None); _initialize_pattern(args[1], env)\n    elif op == 'pattern_array':\n        for item in args[0]: _initialize_pattern(item, env)\n    elif op == 'pattern_object':\n        for _, item in args[0]: _initialize_pattern(item, env)\n    elif op == 'pattern_alt':\n        _initialize_pattern(args[0], env); _initialize_pattern(args[1], env)\n\ndef _one(node, value, env):\n    vals=list(_node(node,value,env)); return vals[0] if vals else None\n\n\ndef _cartesian_arguments(args, value, env):\n    \"\"\"Evaluate filter arguments and yield their ordered Cartesian product.\n\n    jq arguments are filters rather than already-evaluated scalar values.  A\n    filter can therefore produce zero, one, or many values.  The leftmost\n    argument is the outermost dimension, matching jq's generator ordering.\n    Materializing each individual stream is intentional: every combination\n    must reuse the complete stream for each argument.\n    \"\"\"\n    streams = [list(_node(argument, value, env)) for argument in args]\n    if not streams:\n        yield ()\n        return\n    yield from itertools.product(*streams)\n\n\ndef _truth(x): return x is not None and x is not False\n\n\ndef _iter_values(value: object) -> ValueStream:\n    \"\"\"Yield each member of an iterable jq value in source order.\n\n    This helper deliberately yields directly from the input container.  It\n    keeps iteration lazy, so a downstream filter can backtrack to the next\n    member without collapsing the generator into one result or reordering\n    duplicate values.\n    \"\"\"\n    if isinstance(value, list):\n        yield from value\n    elif isinstance(value, dict):\n        yield from value.values()\n    else:\n        raise RuntimeError(f\"Cannot iterate over {_type_name(value)} ({_stringify(value)})\")\n\n\ndef _index(v,k):\n    if v is None:\n        return None\n    if isinstance(v,dict):\n        if not isinstance(k, str):\n            raise RuntimeError(f'Cannot index object with {_type_name(k)} ({_short(k)})')\n        return v.get(k)\n    if isinstance(v,list):\n        if isinstance(k, float) and math.isnan(k):\n            return None\n        if isinstance(k, bool) or not isinstance(k, (int, float)):\n            raise RuntimeError(f'Cannot index array with string ({json.dumps(k)})')\n        index = int(k)\n        return v[index] if -len(v) <= index < len(v) else None\n    if isinstance(v,str):\n        if isinstance(k, bool) or not isinstance(k, (int, float)) or int(k) != k:\n            raise RuntimeError(f'Cannot index string with number ({_short(k)})')\n        index = int(k)\n        return v[index] if -len(v) <= index < len(v) else None\n    raise RuntimeError(f'Cannot index {_type_name(v)} with {_type_name(k)} ({json.dumps(k)})')\ndef _binary(op,left,right,value,env):\n    if op==',': yield from _node(left,value,env); yield from _node(right,value,env); return\n    if op=='|':\n        for x in _node(left,value,env): yield from _node(right,x,env)\n        return\n    if op=='//':\n        try: candidates = list(_node(left, value, env))\n        except RuntimeError: candidates = []\n        emitted = False\n        for item in candidates:\n            if _truth(item): emitted = True; yield item\n        if not emitted: yield from _node(right, value, env)\n        return\n    if op in ('and', 'or'):\n        for left_value in _node(left, value, env):\n            left_truth = _truth(left_value)\n            if (op == 'and' and not left_truth) or (op == 'or' and left_truth):\n                yield left_truth\n                continue\n\"\"\"Application-facing interpreter orchestration.\"\"\"\n\nimport json\nfrom collections.abc import Iterable, Iterator\n\nfrom .evaluator import evaluate\nfrom .parser import parse\nfrom .runtime import JsonValue\n\n\nclass Interpreter:\n    \"\"\"Compile once, then evaluate each JSON input in order.\"\"\"\n\n    def __init__(self, program: str) -> None:\n        self._compiled = parse(program)\n\n    def run(self, inputs: Iterable[JsonValue]) -> Iterator[JsonValue]:\n        \"\"\"Yield every output, preserving input and generator ordering.\"\"\"\n        for value in inputs:\n            yield from evaluate(self._compiled, value)\n\n\ndef parse_input(line: str) -> JsonValue:\n    \"\"\"Decode one JSON input value.\"\"\"\n    return json.loads(line.lstrip(\"\\ufeff\"), parse_constant=_parse_json_constant)\n\n\ndef parse_inputs(text: str) -> Iterator[JsonValue]:\n    \"\"\"Decode every whitespace-separated JSON value in an input stream.\n\n    ``jq`` accepts JSON values separated by arbitrary whitespace, so a value may\n    span multiple physical lines.  ``raw_decode`` preserves the boundary\n    between successive values without requiring a non-standard JSON parser.\n    \"\"\"\n    # jq accepts its non-standard constants in lower case as well.  The\n    # standard decoder only dispatches parse_constant for JSON's capitalized\n    # spellings, so normalize standalone bare constants before decoding.\n    import re\n    text = re.sub(r'(?<![A-Za-z_])-(?:nan|infinite|NaN|Infinity)(?![A-Za-z_])', lambda m: '-NaN' if 'nan' in m.group(0).lower() else '-Infinity', text)\n    text = re.sub(r'(?<![A-Za-z_])(?:nan|infinite|NaN|Infinity)(?![A-Za-z_])', lambda m: 'NaN' if m.group(0).lower() == 'nan' else 'Infinity', text)\n    text = re.sub(r'(?<![A-Za-z_])-NaN(?![A-Za-z_])', 'NaN', text)\n    def parse_integer(text: str) -> int | float:\n        integer = int(text)\n        return float(integer) if abs(integer) > 2**53 else integer\n\n    decoder = json.JSONDecoder(parse_constant=_parse_json_constant, parse_int=parse_integer)\n    position = 0\n    while True:\n        while position < len(text) and text[position].isspace():\n            position += 1\n        if position >= len(text):\n            return\n        if position == 0 and text.startswith(\"\\ufeff\"):\n            position += 1\n            continue\n        value, position = decoder.raw_decode(text, position)\n        yield value\n\n\ndef _parse_json_constant(value: str) -> float:\n    \"\"\"Decode jq's accepted non-standard numeric constants.\"\"\"\n    return {\"NaN\": float(\"nan\"), \"nan\": float(\"nan\"),\n            \"Infinity\": float(\"inf\"), \"infinite\": float(\"inf\"),\n            \"-Infinity\": float(\"-inf\"), \"-infinite\": float(\"-inf\"),\n            \"-NaN\": float(\"nan\"), \"-nan\": float(\"nan\")} [value]\n","exit_code":0,"status":"completed"}}
{"type":"item.started","item":{"id":"item_4","type":"command_execution","command":"/bin/bash -lc \"rg -n \\\"def _call|__funcs__|defprog|func\\\" jq_interpreter/evaluator.py tests/test_func_002_parameters.py tests/test_service_lexical_bindings.py && sed -n '420,850p' jq_interpreter/evaluator.py && sed -n '1,260p' tests/test_func_002_parameters.py && sed -n '1,260p' tests/test_service_lexical_bindings.py\"","aggregated_output":"","exit_code":null,"status":"in_progress"}}
{"type":"item.completed","item":{"id":"item_4","type":"command_execution","command":"/bin/bash -lc \"rg -n \\\"def _call|__funcs__|defprog|func\\\" jq_interpreter/evaluator.py tests/test_func_002_parameters.py tests/test_service_lexical_bindings.py && sed -n '420,850p' jq_interpreter/evaluator.py && sed -n '1,260p' tests/test_func_002_parameters.py && sed -n '1,260p' tests/test_service_lexical_bindings.py\"","aggregated_output":"tests/test_func_002_parameters.py:1:\"\"\"Regression coverage for filter and value function parameters.\"\"\"\ntests/test_func_002_parameters.py:42:def test_function_arities_are_independent() -> None:\njq_interpreter/evaluator.py:268:        env.setdefault('__funcs__',{})[(a[0], len(a[1]))]=(a[1],a[2])\njq_interpreter/evaluator.py:270:    elif op == \"defprog\":\njq_interpreter/evaluator.py:271:        funcs=dict(env.get('__funcs__',{}))\njq_interpreter/evaluator.py:274:        while program.operation == 'defprog':\njq_interpreter/evaluator.py:279:        # program but do not retroactively change earlier function bodies.\njq_interpreter/evaluator.py:281:            closure = dict(funcs)\njq_interpreter/evaluator.py:282:            function = (params, body, closure)\njq_interpreter/evaluator.py:283:            closure[(name, len(params))] = function  # permit recursion\njq_interpreter/evaluator.py:284:            funcs[(name, len(params))] = function\njq_interpreter/evaluator.py:285:        yield from _node(program, value, {**env, '__funcs__': funcs})\njq_interpreter/evaluator.py:819:    # functions whose argument is a comma expression.\njq_interpreter/evaluator.py:894:    if op == 'call' and not args[1] and (args[0], 0) in env.get('__funcs__', {}):\njq_interpreter/evaluator.py:895:        function = env['__funcs__'][(args[0], 0)]\njq_interpreter/evaluator.py:897:        if len(function) > 2:\njq_interpreter/evaluator.py:898:            closure_env['__funcs__'] = function[2]\njq_interpreter/evaluator.py:899:        return _paths(function[1], value, closure_env)\njq_interpreter/evaluator.py:1030:def _call(name,args,value,env):\njq_interpreter/evaluator.py:1045:    function = env.get('__funcs__',{}).get((name, len(args)))\njq_interpreter/evaluator.py:1046:    if function is not None:\njq_interpreter/evaluator.py:1047:        params, body, *closure = function\njq_interpreter/evaluator.py:1050:            local['__funcs__'] = closure[0]\njq_interpreter/evaluator.py:1685:        function = unary_math.get(name, getattr(math, name, None))\njq_interpreter/evaluator.py:1686:        if function is None: raise RuntimeError(f'{name} is not available')\njq_interpreter/evaluator.py:1687:        yield function(value); return\njq_interpreter/evaluator.py:1700:        function = getattr(math, name)\njq_interpreter/evaluator.py:1702:            yield list(function(argument))\njq_interpreter/evaluator.py:1705:        function = getattr(math, name, None)\njq_interpreter/evaluator.py:1706:        if function is None: raise RuntimeError(f'{name} is not available')\njq_interpreter/evaluator.py:1708:            yield function(int(first), second)\njq_interpreter/evaluator.py:1711:        function = getattr(math, name, None)\njq_interpreter/evaluator.py:1712:        if function is None: raise RuntimeError('fma is not available')\njq_interpreter/evaluator.py:1714:            yield function(first, second, third)\njq_interpreter/evaluator.py:1763:    raise RuntimeError(f\"unknown function {name}\")\n                continue\n            right_values = list(_node(right, value, env))\n            for right_value in right_values:\n                yield (_truth(left_value) and _truth(right_value)) if op == 'and' else (_truth(left_value) or _truth(right_value))\n        return\n    if op in ('=', '|=', '+=', '-=', '*=', '/=', '%=', '//='):\n        if op == '=' and left.operation == 'slice':\n            for replacement in _node(right, value, env):\n                yield _assign_slice(left, value, replacement, env)\n            return\n        paths = _paths(left, value, env)\n        if not paths:\n            produced = list(_node(left, value, env))\n            if produced:\n                raise RuntimeError(f'Invalid path expression with result {_stringify(produced[0])}')\n            raise RuntimeError('Invalid path expression')\n        if op == '|=':\n            result = value\n            for path in sorted(paths, key=lambda path: tuple(\n                    -part if isinstance(part, int) else part for part in path)):\n                _set_path_checked(result, path, _get_path(result, path))\n                old = _get_path(result, path)\n                outputs = list(_node(right, old, env))\n                if outputs:\n                    result = _set_path(result, path, outputs[0])\n                else:\n                    result = _delete_path(result, path)\n            if paths: yield result\n            return\n        if op == '//=':\n            result = value\n            for path in sorted(paths, key=lambda path: tuple(\n                    -part if isinstance(part, int) else part for part in path)):\n                old = _get_path(result, path)\n                if not _truth(old):\n                    outputs = list(_node(right, value, env))\n                    result = _set_path(result, path, outputs[0] if outputs else None)\n            if paths: yield result\n            return\n        replacements = [None] if op == '|=' else list(_node(right, value, env))\n        for replacement in replacements:\n            result = value\n            # Deleting array elements must not let an earlier deletion shift\n            # the indices of later paths from the same path expression.\n            ordered_paths = sorted(paths, key=lambda path: tuple(\n                -part if isinstance(part, int) else part for part in path),\n                reverse=False)\n            for path in ordered_paths:\n                old = _get_path(result, path)\n                new = replacement if op in ('=',) else (_one(right, old, env) if op == '|=' else replacement)\n                if op not in ('=', '|='):\n                    new = _arithmetic(op[0], old, replacement)\n                result = _set_path(result, path, new)\n            if paths: yield result\n        return\n    ls=list(_node(left,value,env)); rs=list(_node(right,value,env))\n    for x in ls:\n      for y in rs:\n        if op=='+':\n            if x is None: yield y\n            elif y is None: yield x\n            elif _is_number(x) and _is_number(y): yield _numeric(x, y, '+')\n            elif isinstance(x, str) and isinstance(y, str): yield x+y\n            elif isinstance(x, list) and isinstance(y, list): yield x+y\n            elif isinstance(x, dict) and isinstance(y, dict): yield {**x, **y}\n            else: raise RuntimeError(f\"{_type_name(x)} ({_short(x)}) and {_type_name(y)} ({_short(y)}) cannot be added\")\n        elif op=='-':\n            if isinstance(x, list) and isinstance(y, list):\n                yield [item for item in x if not any(_deep_equal(item, candidate) for candidate in y)]\n                continue\n            if not _is_number(x) or not _is_number(y):\n                raise RuntimeError(f\"{_type_name(x)} ({_short(x)}) and {_type_name(y)} ({_short(y)}) cannot be subtracted\")\n            yield _numeric(x, y, '-')\n        elif op=='*':\n            if isinstance(x, str) and _is_number(y):\n                if (isinstance(y, float) and math.isnan(y)) or y < 0:\n                    yield float('nan'); continue\n                count = max(0, int(y))\n                if len(x) * count > 100000000:\n                    raise RuntimeError('Repeat string result too long')\n                yield x * count\n            elif isinstance(y, str) and _is_number(x):\n                if (isinstance(x, float) and math.isnan(x)) or x < 0:\n                    yield float('nan'); continue\n                count = max(0, int(x))\n                if len(y) * count > 100000000:\n                    raise RuntimeError('Repeat string result too long')\n                yield y * count\n            elif isinstance(x, dict) and isinstance(y, dict):\n                yield _merge_objects(x, y)\n            else: yield _numeric(x, y, '*')\n        elif op=='/':\n            if _is_number(x) and _is_number(y) and y == 0:\n                raise RuntimeError(f\"number ({_short(x)}) and number ({_short(y)}) cannot be divided because the divisor is zero\")\n            if isinstance(x,str) and isinstance(y,str):\n                yield list(x) if y == '' else x.split(y)\n            else: yield _numeric(x, y, '/')\n        elif op=='%':\n            if _is_number(x) and _is_number(y) and y == 0:\n                raise RuntimeError(f\"number ({_short(x)}) and number ({_short(y)}) cannot be divided (remainder) because the divisor is zero\")\n            if isinstance(x, float) and math.isinf(x):\n                yield -1 if x < 0 and isinstance(y, float) and math.isinf(y) else 0\n            elif isinstance(y, float) and math.isinf(y):\n                yield x\n            else:\n                yield _numeric(x, y, '%')\n        elif op in ('==','!=','<','>','<=','>='):\n            if op in ('==', '!='):\n                equal = _deep_equal(x, y)\n                yield equal if op == '==' else not equal\n            else:\n                comparison = _jq_compare(x, y)\n                yield {\n                    '<': comparison < 0,\n                    '>': comparison > 0,\n                    '<=': comparison <= 0,\n                    '>=': comparison >= 0,\n                }[op]\n        elif op in ('and','or'): yield (_truth(x) and _truth(y)) if op=='and' else (_truth(x) or _truth(y))\n        else: yield x\n\ndef _is_number(value: object) -> bool:\n    \"\"\"Return whether value has jq's number type (booleans are not numbers).\"\"\"\n    return isinstance(value, (int, float)) and not isinstance(value, bool)\n\n\ndef _arithmetic(op, left, right):\n    \"\"\"Apply an assignment operator using the same typed rules as infix ops.\"\"\"\n    if op == '+':\n        if left is None: return right\n        if right is None: return left\n        if _is_number(left) and _is_number(right): return _numeric(left, right, op)\n        if isinstance(left, str) and isinstance(right, str): return left + right\n        if isinstance(left, list) and isinstance(right, list): return left + right\n        if isinstance(left, dict) and isinstance(right, dict): return {**left, **right}\n    elif op == '-':\n        if isinstance(left, list) and isinstance(right, list):\n            return [item for item in left if not any(_deep_equal(item, candidate) for candidate in right)]\n        if _is_number(left) and _is_number(right): return _numeric(left, right, op)\n    elif op == '*':\n        if isinstance(left, dict) and isinstance(right, dict): return _merge_objects(left, right)\n        if isinstance(left, str) and _is_number(right): return left * max(0, int(right))\n        if isinstance(right, str) and _is_number(left): return right * max(0, int(left))\n        if _is_number(left) and _is_number(right): return _numeric(left, right, op)\n    elif op == '/':\n        if _is_number(left) and _is_number(right):\n            if right == 0: raise RuntimeError('division by zero')\n            return _numeric(left, right, op)\n    elif op == '%':\n        if _is_number(left) and _is_number(right):\n            if right == 0: raise RuntimeError('division by zero')\n            return _numeric(left, right, op)\n    raise RuntimeError(f\"{_type_name(left)} ({_short(left)}) and {_type_name(right)} ({_short(right)}) cannot be used with {op}\")\n\ndef _numeric(left, right, op):\n    \"\"\"Apply jq's double arithmetic for values beyond exact integer range.\"\"\"\n    # jq 1.8 parses literals losslessly but arithmetic promotes them to a\n    # double.  Keeping small integers as integers preserves compact output;\n    # large values need the same rounding as jq's numeric operations.\n    if not _is_number(left) or not _is_number(right):\n        raise RuntimeError(f\"{_type_name(left)} ({_short(left)}) and {_type_name(right)} ({_short(right)}) must be numbers\")\n    if any(isinstance(x, int) and abs(x) > 2**53 for x in (left, right)):\n        left, right = float(left), float(right)\n    if op == '+': return left + right\n    if op == '-': return left - right\n    if op == '*': return left * right\n    if op == '/': return left / right\n    return math.fmod(left, right)\n\ndef _merge_objects(left: dict, right: dict, depth: int = 0) -> dict:\n    if depth > 10000: raise RuntimeError('Object merge too deep')\n    root = dict(left)\n    stack = [(root, right, depth)]\n    while stack:\n        target, source, level = stack.pop()\n        if level > 10000: raise RuntimeError('Object merge too deep')\n        for key, item in source.items():\n            if key in target and isinstance(target[key], dict) and isinstance(item, dict):\n                child = dict(target[key])\n                target[key] = child\n                stack.append((child, item, level + 1))\n            else:\n                target[key] = item\n    return root\n\n\ndef _deep_equal(left: object, right: object, limit: int = 10000) -> bool:\n    \"\"\"Compare JSON values iteratively, preserving jq's deep-value guard.\"\"\"\n    pending: list[tuple[object, object, int]] = [(left, right, 0)]\n    while pending:\n        first, second, depth = pending.pop()\n        if depth > limit:\n            raise RuntimeError('Equality check too deep')\n        if type(first) is not type(second):\n            # jq treats integral and floating-point numbers as one number type.\n            if isinstance(first, (int, float)) and not isinstance(first, bool) and isinstance(second, (int, float)) and not isinstance(second, bool):\n                if first != second:\n                    return False\n                continue\n            return False\n        if isinstance(first, (dict, list)):\n            if isinstance(first, list):\n                if len(first) != len(second):\n                    return False\n                pending.extend((a, b, depth + 1) for a, b in zip(first, second))\n            else:\n                # Object equality is independent of insertion order.  A\n                # dict view compares in iteration order, so compare key sets\n                # before walking corresponding values.\n                if set(first) != set(second):\n                    return False\n                pending.extend((first[key], second[key], depth + 1) for key in first)\n            continue\n        if isinstance(first, float) and math.isnan(first) and math.isnan(second):\n            continue\n        if first != second:\n            return False\n    return True\n\n\ndef _jq_compare(left: object, right: object, limit: int = 10000) -> int:\n    \"\"\"Return jq's total ordering comparison for two JSON values.\n\n    jq orders values by type (null, booleans, numbers, strings, arrays,\n    objects), then compares values within a type lexicographically.  The\n    explicit stack keeps deeply nested comparisons inside jq's runtime error\n    boundary instead of leaking Python recursion errors.\n    \"\"\"\n    def rank(item: object) -> int:\n        if item is None: return 0\n        if isinstance(item, bool): return 1\n        if isinstance(item, (int, float)): return 2\n        if isinstance(item, str): return 3\n        if isinstance(item, list): return 4\n        if isinstance(item, dict): return 5\n        raise RuntimeError('unsupported value in comparison')\n\n    pending: list[tuple[str, object, object, int]] = [('compare', left, right, 0)]\n    while pending:\n        action, first, second, depth = pending.pop()\n        if action == 'length':\n            if len(first) != len(second):\n                return -1 if len(first) < len(second) else 1\n            continue\n        if depth > limit:\n            raise RuntimeError('Comparison too deep')\n\n        first_rank = rank(first)\n        second_rank = rank(second)\n        if first_rank != second_rank:\n            return -1 if first_rank < second_rank else 1\n\n        if isinstance(first, bool) or first is None:\n            if first != second:\n                return -1 if not first else 1\n            continue\n        if isinstance(first, (int, float)) and not isinstance(first, bool):\n            # jq has one numeric type.  Keep NaN deterministic for sorting;\n            # ordinary finite and infinite numbers use numeric comparison.\n            first_nan = isinstance(first, float) and math.isnan(first)\n            second_nan = isinstance(second, float) and math.isnan(second)\n            if first_nan or second_nan:\n                if first_nan != second_nan:\n                    return -1 if first_nan else 1\n                continue\n            if first != second:\n                return -1 if first < second else 1\n            continue\n        if isinstance(first, str):\n            if first != second:\n                return -1 if first < second else 1\n            continue\n        if isinstance(first, list):\n            pending.append(('length', first, second, depth + 1))\n            for child_left, child_right in reversed(list(zip(first, second))):\n                pending.append(('compare', child_left, child_right, depth + 1))\n            continue\n        # Objects are compared by sorted key arrays, then by values in that\n        # same key order.  This also makes ordering independent of insertion\n        # order, just like equality.\n        first_keys = sorted(first)\n        second_keys = sorted(second)\n        for key in reversed(first_keys):\n            if key in second:\n                pending.append(('compare', first[key], second[key], depth + 1))\n        pending.append(('compare', first_keys, second_keys, depth + 1))\n    return 0\n\n\ndef _contains(haystack: object, wanted: object, limit: int = 10000) -> bool:\n    \"\"\"Implement containment with an explicit depth guard.\n\n    jq deliberately turns excessively deep structural operations into a normal\n    runtime error.  A Python call-stack overflow is not equivalent: it escapes\n    jq's ``try`` handling and can also produce a traceback.  The inexpensive\n    structural walk below detects the limit before the compatibility matcher\n    runs, while retaining the ordinary jq containment rules for normal values.\n    \"\"\"\n    pending: list[tuple[object, int]] = [(haystack, 0), (wanted, 0)]\n    while pending:\n        item, depth = pending.pop()\n        if depth > limit:\n            raise RuntimeError('Containment check too deep')\n        if isinstance(item, list):\n            pending.extend((child, depth + 1) for child in item)\n        elif isinstance(item, dict):\n            pending.extend((child, depth + 1) for child in item.values())\n\n    def contained(left: object, right: object) -> bool:\n        if isinstance(left, dict) and isinstance(right, dict):\n            return all(k in left and contained(left[k], v) for k, v in right.items())\n        if isinstance(left, list) and isinstance(right, list):\n            return all(any(contained(item, candidate) for item in left) for candidate in right)\n        if isinstance(left, str) and isinstance(right, str):\n            return right in left\n        return _deep_equal(left, right)\n\n    try:\n        return contained(haystack, wanted)\n    except RecursionError as error:\n        raise RuntimeError('Containment check too deep') from error\n\n\ndef _deep_json_dumps(value: object) -> str:\n    \"\"\"Encode deeply nested values without json.encoder's C recursion limit.\"\"\"\n    depth = 0\n    probe = value\n    while isinstance(probe, list) and len(probe) == 1:\n        depth += 1\n        probe = probe[0]\n    if depth >= 10000:\n        return json.dumps('<skipped: too deep>')\n    pieces: list[str] = []\n    stack: list[object] = [value]\n    while stack:\n        item = stack.pop()\n        if isinstance(item, list):\n            pieces.append('[')\n            if item:\n                stack.append(('close', ']'))\n                for index in range(len(item) - 1, -1, -1):\n                    if index < len(item) - 1:\n                        stack.append(('raw', ','))\n                    stack.append(item[index])\n            else:\n                pieces.append(']')\n        elif isinstance(item, dict):\n            pieces.append('{')\n            entries = list(item.items())\n            if entries:\n                stack.append(('close', '}'))\n                for index in range(len(entries) - 1, -1, -1):\n                    key, child = entries[index]\n                    if index < len(entries) - 1:\n                        stack.append(('raw', ','))\n                    stack.append(child)\n                    stack.append(('raw', ':'))\n                    stack.append(('raw', json.dumps(str(key), ensure_ascii=False)))\n            else:\n                pieces.append('}')\n        elif isinstance(item, tuple) and item[0] == 'raw':\n            pieces.append(item[1])\n        elif isinstance(item, tuple) and item[0] == 'close':\n            pieces.append(item[1])\n        else:\n            if isinstance(item, float) and not math.isfinite(item):\n                if isinstance(item, _OverflowFloat):\n                    pieces.append('1e999999999' if item > 0 else '-1e999999999')\n                else:\n                    pieces.append('null')\n            elif isinstance(item, float) and item.is_integer():\n                pieces.append(str(int(item)))\n            else:\n                pieces.append(json.dumps(item, separators=(',', ':'), ensure_ascii=False))\n    return ''.join(pieces)\n\n\ndef _deep_json_loads(text: str) -> object:\n    try:\n        parsed = json.loads(text, parse_constant=lambda x: float('nan'))\n        if parsed == '<skipped: too deep>':\n            raise RuntimeError('Exceeds depth limit for parsing')\n        return parsed\n    except RecursionError:\n        if text and set(text) <= {'[', ']'} and text.startswith('['):\n            depth = text.count('[')\n            value: object = []\n            for _ in range(depth - 1):\n                value = [value]\n            return value\n        raise\n\ndef _paths(node, value, env):\n    op, args = node.operation, node.arguments\n    if op == 'call' and len(args) == 2 and not args[1] and node.arguments[0] in env.get('__params__', {}):\n        _, argument = env['__params__'][node.arguments[0]]\n        return _paths(argument, value, env)\n    # A comma in a path expression is a generator of independent paths.\n    # This is especially important for del(.a, .b) and for path/index\n    # functions whose argument is a comma expression.\n    if op == 'binary' and args[0] == ',':\n        return _paths(args[1], value, env) + _paths(args[2], value, env)\n    if op == 'identity': return [()]\n    if op == 'recurse':\n        result = []\n        def visit(item, path):\n            result.append(path)\n            if isinstance(item, list):\n                for index, child in enumerate(item):\n                    visit(child, path + (index,))\n            elif isinstance(item, dict):\n                for key, child in item.items():\n                    visit(child, path + (key,))\n        visit(value, ())\n        return result\n    if op == 'field': return [(args[0],)]\n    if op == 'index': return [p + (args[1],) for p in _paths(args[0], value, env)]\n    if op == 'indexexpr':\n        result = []\n        for p in _paths(args[0], value, env):\n            current = _get_path(value, p)\n            for key in _node(args[1], value, env):\n                if isinstance(key, float) and math.isnan(key):\n                    raise RuntimeError('Cannot set array element at NaN index')\n                if isinstance(key, (dict, list)):\n                    raise RuntimeError(f'Cannot index object with {_type_name(key)} ({_short(key)})')\n                if isinstance(key, (int, float)) and not isinstance(key, bool) and int(key) >= 10000000:\n                    raise RuntimeError('Array index too large')\n                if isinstance(current, list) and isinstance(key, (int, float)):\n                    if int(key) < 0 and abs(int(key)) > len(current): raise RuntimeError('Out of bounds negative array index')\n                    if int(key) >= 10000000: raise RuntimeError('Array index too large')\n\"\"\"Regression coverage for filter and value function parameters.\"\"\"\n\nfrom jq_interpreter.evaluator import evaluate\nfrom jq_interpreter.parser import parse\n\n\ndef outputs(program: str, value: object) -> list[object]:\n    return list(evaluate(parse(program), value))\n\n\ndef test_filter_parameter_is_reusable_and_lazy() -> None:\n    assert outputs(\"def twice(f): f | f; twice(.*2)\", 5) == [20]\n\n\ndef test_filter_parameter_preserves_generator_cartesian_products() -> None:\n    assert outputs(\"def pair(f; g): [f, g]; pair(1; 2)\", None) == [[1, 2]]\n    assert outputs(\"def pair(f; g): f + g; pair((1, 2); (3, 4))\", None) == [\n        4,\n        5,\n        5,\n        6,\n    ]\n\n\ndef test_value_parameter_captures_call_site_values() -> None:\n    assert outputs(\"def add($x): .foo + $x; add(.foo)\", {\"foo\": 2}) == [4]\n\n\ndef test_value_parameters_form_a_cartesian_product() -> None:\n    assert outputs(\"def pair($x; $y): [$x, $y]; pair((1, 2); (3, 4))\", None) == [\n        [1, 3],\n        [1, 4],\n        [2, 3],\n        [2, 4],\n    ]\n\n\ndef test_filter_and_value_parameters_can_be_mixed() -> None:\n    assert outputs(\"def add_to(f; $x): f + $x; add_to(.; 2)\", 3) == [5]\n\n\ndef test_function_arities_are_independent() -> None:\n    program = \"def f: 0; def f(x): x + 1; [f, f(4)]\"\n    assert outputs(program, None) == [[0, 5]]\n\"\"\"Focused coverage for jq's lexical value-binding semantics.\"\"\"\n\nimport json\nimport subprocess\nfrom pathlib import Path\n\nfrom jq_interpreter.evaluator import evaluate\nfrom jq_interpreter.parser import parse\n\n\nROOT = Path(__file__).parents[1]\n\n\ndef outputs(program: str, value: object) -> list[object]:\n    return list(evaluate(parse(program), value))\n\n\ndef test_binding_reuses_each_generated_value_in_order() -> None:\n    assert outputs(\"[1, 2, 3][] as $x | [$x, $x]\", None) == [\n        [1, 1],\n        [2, 2],\n        [3, 3],\n    ]\n\n\ndef test_nested_binding_shadows_only_the_inner_scope() -> None:\n    assert outputs(\"1 as $x | (2 as $x | $x), $x\", None) == [2, 1]\n\n\ndef test_array_and_object_patterns_bind_missing_members_to_null() -> None:\n    assert outputs(\". as [$a, $b] | [$a, $b]\", [7]) == [[7, None]]\n    assert outputs(\". as {present: $a, absent: $b} | [$a, $b]\", {\"present\": 7}) == [[7, None]]\n\n\ndef test_keyword_can_be_used_as_a_binding_name() -> None:\n    assert outputs(\"42 as $if | $if\", None) == [42]\n\n\ndef test_binding_does_not_escape_parenthesized_scope() -> None:\n    result = subprocess.run(\n        [str(ROOT / \"jq\"), \"-c\", \"(. as $x | $x) | $x\"],\n        input=\"null\\n\",\n        capture_output=True,\n        text=True,\n        check=False,\n    )\n    assert result.returncode == 3\n    assert json.loads(result.stdout or \"[]\") == []\n\n","exit_code":0,"status":"completed"}}
{"type":"item.started","item":{"id":"item_5","type":"command_execution","command":"/bin/bash -lc \"sed -n '780,880p' jq_interpreter/evaluator.py; sed -n '1010,1085p' jq_interpreter/evaluator.py; sed -n '1,160p' jq; pytest -q --disable-warnings --maxfail=1\"","aggregated_output":"","exit_code":null,"status":"in_progress"}}
{"type":"item.completed","item":{"id":"item_5","type":"command_execution","command":"/bin/bash -lc \"sed -n '780,880p' jq_interpreter/evaluator.py; sed -n '1010,1085p' jq_interpreter/evaluator.py; sed -n '1,160p' jq; pytest -q --disable-warnings --maxfail=1\"","aggregated_output":"........................................................................ [ 61%]\n.............................................                            [100%]\n117 passed in 11.18s\n","exit_code":0,"status":"completed"}}
{"type":"item.started","item":{"id":"item_6","type":"command_execution","command":"/bin/bash -lc 'env JQ=\"$PWD/jq\" python3 sources/run_conformance.py --select '\"'def ' --json\"","aggregated_output":"","exit_code":null,"status":"in_progress"}}
{"type":"item.completed","item":{"id":"item_6","type":"command_execution","command":"/bin/bash -lc 'env JQ=\"$PWD/jq\" python3 sources/run_conformance.py --select '\"'def ' --json\"","aggregated_output":"{\n  \"candidate\": [\n    \"/mnt/c/Users/barlo/projects/drydock/uat/jq/runs/20260822.044627/build/jq/jq\"\n  ],\n  \"corpus\": \"jq.test\",\n  \"summary\": {\n    \"pass\": 15,\n    \"fail\": 0,\n    \"error\": 0,\n    \"skip\": 2\n  },\n  \"cases\": [\n    {\n      \"line\": 1900,\n      \"program\": \"import \\\"a\\\" as foo; import \\\"b\\\" as bar; def fooa: foo::a; [fooa, bar::a, bar::b, foo::a]\",\n      \"status\": \"skip\",\n      \"detail\": \"declared in exclusions.txt\",\n      \"expect_failure\": false,\n      \"expected\": [\n        \"[\\\"a\\\",\\\"b\\\",\\\"c\\\",\\\"a\\\"]\"\n      ],\n      \"actual\": []\n    },\n    {\n      \"line\": 1917,\n      \"program\": \"import \\\"data\\\" as $a; import \\\"data\\\" as $b; def f: {$a, $b}; f\",\n      \"status\": \"skip\",\n      \"detail\": \"declared in exclusions.txt\",\n      \"expect_failure\": false,\n      \"expected\": [\n        \"{\\\"a\\\":[{\\\"this\\\":\\\"is a test\\\",\\\"that\\\":\\\"is too\\\"}],\\\"b\\\":[{\\\"this\\\":\\\"is a test\\\",\\\"that\\\":\\\"is too\\\"}]}\"\n      ],\n      \"actual\": []\n    }\n  ]\n}\n","exit_code":0,"status":"completed"}}
{"type":"item.started","item":{"id":"item_7","type":"command_execution","command":"/bin/bash -lc \"set +e\nfor p in 'def f: .+1; f' 'def f: .+1;' 'def f: if .==0 then 1 else .*(.-1|f) end; f' 'def f(x): x|x; f(.*2)' 'def f: 1; def f: 2; f' 'def f: 1; def f: 2; def g: f; f, g'; do echo \\\"PROGRAM=\"'$p\"; printf '\"'5\\\\n' | ./jq -c \\\"\"'$p\"; echo status=$?; done'","aggregated_output":"","exit_code":null,"status":"in_progress"}}
{"type":"item.completed","item":{"id":"item_7","type":"command_execution","command":"/bin/bash -lc \"set +e\nfor p in 'def f: .+1; f' 'def f: .+1;' 'def f: if .==0 then 1 else .*(.-1|f) end; f' 'def f(x): x|x; f(.*2)' 'def f: 1; def f: 2; f' 'def f: 1; def f: 2; def g: f; f, g'; do echo \\\"PROGRAM=\"'$p\"; printf '\"'5\\\\n' | ./jq -c \\\"\"'$p\"; echo status=$?; done'","aggregated_output":"5\nstatus=0\nPROGRAM=def f: if .==0 then 1 else .*(.-1|f) end; f\n120\nstatus=0\nPROGRAM=def f(x): x|x; f(.*2)\n20\nstatus=0\nPROGRAM=def f: 1; def f: 2; f\n2\nstatus=0\nPROGRAM=def f: 1; def f: 2; def g: f; f, g\n2\n2\nstatus=0\n","exit_code":0,"status":"completed"}}
{"type":"item.started","item":{"id":"item_8","type":"command_execution","command":"/bin/bash -lc \"sed -n '1,220p' jq_interpreter/cli.py; sed -n '1,180p' tests/conftest.py; rg -n '\"'^def |def .*def|recursive|redefinition|closure'\"' sources/jq.test | head -80\"","aggregated_output":"","exit_code":null,"status":"in_progress"}}
{"type":"item.completed","item":{"id":"item_8","type":"command_execution","command":"/bin/bash -lc \"sed -n '1,220p' jq_interpreter/cli.py; sed -n '1,180p' tests/conftest.py; rg -n '\"'^def |def .*def|recursive|redefinition|closure'\"' sources/jq.test | head -80\"","aggregated_output":"\"\"\"Executable boundary for ``jq -c '<program>'``.\"\"\"\n\nimport argparse\nimport json\nimport math\nimport sys\nfrom collections.abc import Iterator\n\nfrom .diagnostics import report_compile_error, report_runtime_error\nfrom .errors import CompileError, FLOW_RUNTIME_ERRORS, RuntimeError\nfrom .interpreter import Interpreter, parse_inputs\n\n# The conformance corpus deliberately exercises jq's deep-value limit with\n# values around ten thousand levels deep.  Python's default limit is lower\n# than that and would turn valid jq processing into an uncaught RecursionError\n# while encoding an intermediate value.\nsys.setrecursionlimit(100000)\n\n\ndef _inputs() -> Iterator[object]:\n    yield from parse_inputs(sys.stdin.read())\n\n\ndef _json_output(value: object) -> object:\n    \"\"\"Convert jq's non-finite numbers to its JSON output representation.\n\n    jq represents NaN and infinities as ``null`` when emitting JSON.  Doing this\n    recursively also covers values nested in arrays and objects.\n    \"\"\"\n    if isinstance(value, float) and not math.isfinite(value):\n        return None\n    if isinstance(value, list):\n        return [_json_output(item) for item in value]\n    if isinstance(value, dict):\n        return {key: _json_output(item) for key, item in value.items()}\n    return value\n\n\ndef main(argv: list[str] | None = None) -> int:\n    arguments = argparse.ArgumentParser(prog=\"jq\")\n    arguments.add_argument(\"-c\", action=\"store_true\")\n    arguments.add_argument(\"program\")\n    options = arguments.parse_args(argv)\n    try:\n        interpreter = Interpreter(options.program)\n    except CompileError as error:\n        return report_compile_error(error)\n    try:\n        for output in interpreter.run(_inputs()):\n            from .evaluator import _deep_json_dumps\n            print(_deep_json_dumps(output), flush=True)\n    except FLOW_RUNTIME_ERRORS + (json.JSONDecodeError,) as error:\n        return report_runtime_error(RuntimeError(str(error)))\n    return 0\nimport sys\nfrom pathlib import Path\n\nROOT = Path(__file__).parents[1]\nif str(ROOT) not in sys.path:\n    sys.path.insert(0, str(ROOT))\n784:def f: . + 1; def g: def g: . + 100; f | g | f; (f | g), g\n789:def f: (1000,2000); f\n794:def f(a;b;c;d;e;f): [a+1,b,c,d,e,f]; f(.[0];.[1];.[0];.[0];.[0];.[0])\n798:def f: 1; def g: f, def f: 2; def g: 3; f, def f: g; f, g; def f: 4; [f, def f: g; def g: 5; f, g]+[f,g]\n803:def a: 0; . | a\n808:def f(a;b;c;d;e;f;g;h;i;j): [j,i,h,g,f,e,d,c,b,a]; f(.[0];.[1];.[2];.[3];.[4];.[5];.[6];.[7];.[8];.[9])\n860:def f(x): x | x; f([.], . + [42])\n867:# test multiple function arities and redefinition\n868:def f: .+1; def g: f; def f: .+100; def f(a):a+.+11; [(g|f(20)), f]\n872:# test closures and lexical scoping\n873:def id(x):x; 2000 as $x | def f(x):1 as $x | id([$x, x, x]); def g(x): 100 as $x | f($x,$x+x); g($x)\n878:def x(a;b): a as $a | b as $b | $a + $b; def y($a;$b): $a + $b; def check(a;b): [x(a;b)] == [y(a;b)]; check(.[];.[]*2)\n884:[[20,10][1,0] as $x | def f: (100,200) as $y | def g: [$x + $y, .]; . + $x | g; f[0] | [f][0][1] | f]\n889:def fac: if . == 1 then 1 else . * (. - 1 | fac) end; [.[] | fac]\n1253:def inc(x): x |= .+1; inc(.[].a)\n1298:def x: .[1,2]; x=10\n1749:# Test recursive object merge\n","exit_code":0,"status":"completed"}}
{"type":"item.completed","item":{"id":"item_9","type":"agent_message","text":"The existing conformance slice is already green, but inspection found a real lexical-scope hole: function bodies were retaining the caller’s variable environment at invocation time instead of the definition-time environment. I’m correcting closure capture and adding regression tests for shadowing, definition-time bindings, recursion, and redefinition by arity."}}
{"type":"item.started","item":{"id":"item_10","type":"file_change","changes":[{"path":"/mnt/c/Users/barlo/projects/drydock/uat/jq/runs/20260822.044627/build/jq/jq_interpreter/evaluator.py","kind":"update"}],"status":"in_progress"}}
{"type":"item.completed","item":{"id":"item_10","type":"file_change","changes":[{"path":"/mnt/c/Users/barlo/projects/drydock/uat/jq/runs/20260822.044627/build/jq/jq_interpreter/evaluator.py","kind":"update"}],"status":"completed"}}
{"type":"item.started","item":{"id":"item_11","type":"file_change","changes":[{"path":"/mnt/c/Users/barlo/projects/drydock/uat/jq/runs/20260822.044627/build/jq/tests/test_func_002_parameters.py","kind":"update"}],"status":"in_progress"}}
{"type":"item.completed","item":{"id":"item_11","type":"file_change","changes":[{"path":"/mnt/c/Users/barlo/projects/drydock/uat/jq/runs/20260822.044627/build/jq/tests/test_func_002_parameters.py","kind":"update"}],"status":"completed"}}
{"type":"item.started","item":{"id":"item_12","type":"command_execution","command":"/bin/bash -lc \"pytest -q tests/test_func_002_parameters.py && printf '1 as \"'$x | def f: $x; 2 as $x | f'\"\\\\n' | ./jq -c '1 as \"'$x | def f: $x; 2 as $x | f'\"'\"","aggregated_output":"","exit_code":null,"status":"in_progress"}}
{"type":"item.completed","item":{"id":"item_12","type":"command_execution","command":"/bin/bash -lc \"pytest -q tests/test_func_002_parameters.py && printf '1 as \"'$x | def f: $x; 2 as $x | f'\"\\\\n' | ./jq -c '1 as \"'$x | def f: $x; 2 as $x | f'\"'\"","aggregated_output":"......FFF                                                                [100%]\n=================================== FAILURES ===================================\n________ test_function_captures_definition_scope_instead_of_call_scope _________\n\n    def test_function_captures_definition_scope_instead_of_call_scope() -> None:\n        program = \"1 as $x | def f: $x; 2 as $x | f\"\n>       assert outputs(program, None) == [1]\nE       assert [2] == [1]\nE         \nE         At index 0 diff: 2 != 1\nE         Use -v to get more diff\n\ntests/test_func_002_parameters.py:49: AssertionError\n_______________ test_recursive_function_uses_its_own_definition ________________\n\n    def test_recursive_function_uses_its_own_definition() -> None:\n        program = \"def fac: if . == 1 then 1 else . * (. - 1 | fac) end; [.[] | fac]\"\n>       assert outputs(program, [1, 2, 3, 4]) == [[1, 2, 6, 24]]\n\ntests/test_func_002_parameters.py:54: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \ntests/test_func_002_parameters.py:8: in outputs\n    return list(evaluate(parse(program), value))\njq_interpreter/evaluator.py:22: in evaluate\n    yield from _node(program, value, {})\njq_interpreter/evaluator.py:290: in _node\n    yield from _node(program, value, {**env, '__funcs__': funcs})\njq_interpreter/evaluator.py:175: in _node\n    elif op == \"array\": yield [] if a[0] is None else list(_node(a[0],value,env))\njq_interpreter/evaluator.py:188: in _node\n    elif op == \"binary\": yield from _binary(a[0],a[1],a[2],value,env)\njq_interpreter/evaluator.py:410: in _binary\n    for x in _node(left,value,env): yield from _node(right,x,env)\njq_interpreter/evaluator.py:266: in _node\n    elif op == \"call\": yield from _call(a[0],a[1],value,env)\njq_interpreter/evaluator.py:1057: in _call\n    yield from _node(body,value,local); return\njq_interpreter/evaluator.py:211: in _node\n    yield from _node(branch, value, env)\njq_interpreter/evaluator.py:188: in _node\n    elif op == \"binary\": yield from _binary(a[0],a[1],a[2],value,env)\njq_interpreter/evaluator.py:480: in _binary\n    ls=list(_node(left,value,env)); rs=list(_node(right,value,env))\njq_interpreter/evaluator.py:188: in _node\n    elif op == \"binary\": yield from _binary(a[0],a[1],a[2],value,env)\njq_interpreter/evaluator.py:410: in _binary\n    for x in _node(left,value,env): yield from _node(right,x,env)\njq_interpreter/evaluator.py:266: in _node\n    elif op == \"call\": yield from _call(a[0],a[1],value,env)\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nname = 'fac', args = (), value = 1\nenv = {'__funcs__': {'__funcs__': {('fac', 0): ((), Node(operation='if', arguments=(Node(operation='binary', arguments=('=='...='literal', arguments=('1',)))), Node(operation='call', arguments=('fac', ())))))))), {'__funcs__': {(...): (...)}})}}}\n\n    def _call(name,args,value,env):\n        parameter = env.get('__params__', {}).get(name)\n        if parameter is not None:\n            bound_env, argument = parameter\n            yield from _node(argument, value, bound_env)\n            return\n        if not args and name in env:\n            bound = env[name]\n            if isinstance(bound, tuple) and bound and bound[0] == '__closure__':\n                yield from _node(bound[1], value, {**env, **bound[2]})\n            elif isinstance(bound, Node):\n                yield from _node(bound, value, env)\n            else:\n                yield bound\n            return\n        function = env.get('__funcs__',{}).get((name, len(args)))\n        if function is not None:\n            params, body, *closure = function\n            local=dict(env)\n            if closure:\n                local['__funcs__'] = closure[0]\n            if not args:\n                yield from _node(body,value,local); return\n            # Filter arguments remain lazy closures over the caller.  Value\n            # arguments are evaluated at the call site; every generated-value\n            # combination is a distinct invocation.\n            value_positions = [i for i, param in enumerate(params) if param.startswith('$')]\n            value_streams = [list(_node(args[i], value, env)) for i in value_positions]\n            combinations = itertools.product(*value_streams) if value_streams else [()]\n            captured = dict(env)\n            for combination in combinations:\n                parameters = dict(local.get('__params__', {}))\n                invocation = dict(local)\n                for position, (param, argument) in enumerate(zip(params, args)):\n                    parameter_name = param[1:] if param.startswith('$') else param\n                    if param.startswith('$'):\n                        value_index = value_positions.index(position)\n                        invocation[parameter_name] = combination[value_index]\n                    else:\n                        parameters[parameter_name] = (captured, argument)\n                invocation['__params__'] = parameters\n                yield from _node(body, value, invocation)\n            return\n        if name == 'empty': return\n        if name == 'error': raise RuntimeError(_one(args[0],value,env) if args else value)\n        if name=='length':\n            if isinstance(value, (list, dict, str)): yield len(value)\n            elif isinstance(value, (int, float)) and not isinstance(value, bool): yield _OverflowFloat(abs(value)) if isinstance(value, _OverflowFloat) else abs(value)\n            else: raise RuntimeError('length requires a string, array, object or number')\n            return\n        if name == 'add':\n            items = list(_node(args[0], value, env)) if args else list(value)\n            if not items: yield None\n            else:\n                result = items[0]\n                for item in items[1:]:\n                    if result is None: result = item\n                    elif item is None: continue\n                    elif isinstance(result, (int,float)) and isinstance(item,(int,float)): result += item\n                    elif isinstance(result, str) and isinstance(item,str): result += item\n                    elif isinstance(result,list) and isinstance(item,list): result += item\n                    elif isinstance(result,dict) and isinstance(item,dict): result = {**result,**item}\n                    else: raise RuntimeError('cannot add values')\n                yield result\n            return\n        if name=='type': yield 'null' if value is None else 'boolean' if isinstance(value,bool) else 'number' if isinstance(value,(int,float)) else 'string' if isinstance(value,str) else 'array' if isinstance(value,list) else 'object'; return\n        if name == 'has':\n            key = _one(args[0], value, env)\n            if isinstance(value, dict): yield str(key) in value\n            elif (isinstance(value, list) and isinstance(key, (int, float))\n                  and not isinstance(key, bool)\n                  and not (isinstance(key, float) and math.isnan(key))):\n                yield 0 <= int(key) < len(value)\n            else: yield False\n            return\n        if name=='not': yield not _truth(value); return\n        if name == 'have_decnum': yield False; return\n        if name in ('any', 'all'):\n            if len(args) > 1:\n                stream = _node(args[0], value, env)\n                condition = args[1]\n            elif args:\n                # The one-argument form applies its condition to each member of\n                # the input array, rather than evaluating it once against the\n                # array itself.  This distinction matters for generator-valued\n                # conditions such as ``any(not)``.\n                stream = iter(value if isinstance(value, list) else [])\n                condition = args[0]\n            else:\n                stream = iter(value if isinstance(value, list) else [])\n                condition = None\n            desired = name == 'any'\n            result = not desired\n            for item in stream:\n                tested = item if condition is None else _one(condition, item, env)\n                if _truth(tested) == desired:\n                    result = desired\n                    break\n            yield result\n            return\n        if name in ('min', 'max', 'min_by', 'max_by'):\n            # min_by/max_by receive a key filter, but always reduce the current\n            # input array.  The key filter is evaluated once per candidate item.\n            items = list(value) if isinstance(value, list) else []\n            if not items:\n                yield None\n                return\n            if name in ('min_by', 'max_by'):\n                keyed = [(_jq_sort_key(_one(args[0], item, env)), index, item)\n                         for index, item in enumerate(items)]\n                # jq keeps the first item for min_by ties and the last for max_by.\n                selected = min(keyed, key=lambda entry: (entry[0], entry[1])) if name == 'min_by' else max(keyed, key=lambda entry: (entry[0], entry[1]))\n                yield selected[2]\n            else:\n                yield (min if name == 'min' else max)(items, key=_jq_sort_key)\n            return\n        if name == 'isempty':\n            try:\n                next(_node(args[0], value, env))\n                yield False\n            except StopIteration:\n                yield True\n            return\n        if name == 'tostring': yield _stringify(value); return\n        if name == 'tojson':\n            if isinstance(value, _OverflowFloat):\n                yield '1.7976931348623157e+308' if value > 0 else '-1.7976931348623157e+308'\n                return\n            if isinstance(value, float) and math.isfinite(value):\n                if value.is_integer() and abs(value) < 1e308:\n                    yield str(int(value))\n                else:\n                    yield json.dumps(value, separators=(',', ':'), ensure_ascii=False)\n            else:\n                yield _deep_json_dumps(value)\n            return\n        if name=='abs': yield _OverflowFloat(abs(value)) if isinstance(value, _OverflowFloat) else abs(value); return\n        if name=='fabs': yield math.fabs(value); return\n        if name=='floor': yield math.floor(value); return\n        if name=='ceil': yield math.ceil(value); return\n        if name=='map':\n            result=[]\n            for x in value:\n                result.extend(_node(args[0], x, env))\n            yield result; return\n        if name == 'map_values':\n                yield result; return\n            if isinstance(value, dict):\n                result={}\n                for key, item in value.items():\n                    outputs=list(_node(args[0], item, env))\n                    if outputs: result[key]=outputs[0]\n                yield result; return\n            raise RuntimeError('map_values requires an array or object')\n        if name == 'with_entries':\n            if not isinstance(value, dict): raise RuntimeError('with_entries requires an object')\n            entries = [{'key': key, 'value': item} for key, item in value.items()]\n            transformed = []\n            for entry in entries:\n                transformed.extend(_node(args[0], entry, env))\n            result = {}\n            for entry in transformed:\n                if isinstance(entry, dict) and 'key' in entry:\n                    result[str(entry['key'])] = entry.get('value')\n            yield result; return\n        if name == 'walk':\n            empty = object()\n            def visit(item):\n                if isinstance(item, list):\n                    item = [child for child in (visit(child) for child in item) if child is not empty]\n                elif isinstance(item, dict):\n                    item = {key: child for key, child in ((key, visit(child)) for key, child in item.items()) if child is not empty}\n                outputs = list(_node(args[0], item, env))\n                return outputs[0] if outputs else empty\n            result = visit(value)\n            if result is not empty:\n                yield result\n            # The filter supplied to walk is a generator.  Preserve additional\n            # root outputs (the common `walk(., 1)` form).\n            if (args[0].operation == 'binary' and args[0].arguments[0] == ','):\n                yield from _node(args[0].arguments[2], value, env)\n            return\n        if name == 'reverse':\n            if isinstance(value, (list, str)): yield value[::-1]\n            else: raise RuntimeError('cannot reverse value')\n            return\n        if name == 'flatten':\n            depth = None if not args else int(_one(args[0], value, env))\n            if depth is not None and depth < 0: raise RuntimeError('flatten depth must not be negative')\n            if not isinstance(value, list): raise RuntimeError('flatten input must be an array')\n            result=[]\n            stack=[(value, depth)]\n            while stack:\n                items, remaining = stack.pop()\n                for item in reversed(items):\n                    if isinstance(item, list) and (remaining is None or remaining > 0):\n                        stack.append((item, None if remaining is None else remaining - 1))\n                    else:\n                        result.append(item)\n            result.reverse()\n            yield result; return\n        if name == 'contains':\n            needle = _one(args[0], value, env)\n            yield _contains(value, needle); return\n        if name=='range':\n            for combo in _cartesian_arguments(args, value, env):\n                if len(combo) == 1:\n                    start, end, step = 0, combo[0], 1\n                else:\n                    start, end = combo[0], combo[1]\n                    step = combo[2] if len(combo) > 2 else 1\n                yield from range(int(start), int(end), int(step))\n            return\n        if name in ('while', 'until'):\n            # These are recursive filters, not scalar loops: every output of the\n            # update filter is a branch, and branches are visited depth-first.\n            def loop(current):\n                    if (name == 'while' and _truth(condition)) or (name == 'until' and _truth(condition)):\n                    elif name == 'while':                dt = datetime.datetime.fromtimestamp(float(value), datetime.timezone.utc)\n            elif isinstance(value, list) and len(value) >= 3 and all(isinstance(x, (int, float)) for x in value[:3]):\n                dt = datetime.datetime(int(value[0]), int(value[1]) + 1, int(value[2]),\n                                       int(value[3]) if len(value) > 3 else 0,\n                                       int(value[4]) if len(value) > 4 else 0,\n                                       int(value[5]) if len(value) > 5 else 0)\n            else:\n                raise RuntimeError(f'{name}/1 requires parsed datetime inputs')\n            for fmt in _node(args[0], value, env):\n                if not isinstance(fmt, str):\n                    raise RuntimeError(f'{name}/1 requires a string format')\n                yield dt.strftime(fmt)\n            return\n        if name == 'mktime':\n            if not isinstance(value, list) or len(value) < 6 or not all(isinstance(x, (int, float)) for x in value[:6]):\n                raise RuntimeError('mktime requires parsed datetime inputs')\n            dt = datetime.datetime(int(value[0]), int(value[1]) + 1, int(value[2]), int(value[3]), int(value[4]), int(value[5]), tzinfo=datetime.timezone.utc)\n            yield int(dt.timestamp()); return\n        if name == 'strptime':\n            fmt = _one(args[0], value, env) if args else None\n            if not isinstance(value, str) or not isinstance(fmt, str):\n                raise RuntimeError('strptime/1 requires a string format')\n            parsed = datetime.datetime.strptime(value, fmt)\n            yield [parsed.year, parsed.month - 1, parsed.day, parsed.hour, parsed.minute, parsed.second,\n                   (parsed.weekday() + 1) % 7, int(parsed.strftime('%j')) - 1]\n            return\n        if name == '_strindices':\n            if isinstance(value, str): raise RuntimeError('number (123) is not a string')\n            raise RuntimeError(f'{_type_name(value)} ({_stringify(value)}) cannot be searched, as it is not a string')\n        if name == 'bsearch':\n            if not isinstance(value, list): raise RuntimeError(f'{_type_name(value)} ({_short(value)}) cannot be searched from')\n            for arg in args:\n                needle = _one(arg, value, env)\n                lo, hi = 0, len(value)\n                while lo < hi:\n                    mid = (lo + hi) // 2\n                    if _jq_sort_key(value[mid]) < _jq_sort_key(needle): lo = mid + 1\n                    else: hi = mid\n                yield lo if lo < len(value) and _deep_equal(value[lo], needle) else -lo - 1\n            return\n        if name == 'builtins':\n            yield [\n                'abs/0', 'add/0', 'all/0', 'any/0', 'arrays/0', 'ascii_downcase/0',\n                'ascii_upcase/0', 'contains/1', 'empty/0', 'endswith/1', 'error/0',\n                'floor/0', 'flatten/0', 'from_entries/0', 'fromjson/0', 'gmtime/0',\n                'has/1', 'index/1', 'indices/1', 'in/1', 'isempty/1', 'join/1',\n                'keys/0', 'length/0', 'map/1', 'max/0', 'min/0', 'not/0',\n                'objects/0', 'range/1', 'select/1', 'sort/0', 'split/1',\n                'startswith/1', 'strftime/1', 'strptime/1', 'to_entries/0',\n                'tostring/0', 'type/0', 'unique/0', 'values/0', 'walk/1',\n            ]; return\n        if name == 'IN':\n            candidates = list(_node(args[0], value, env)) if args else []\n            if len(args) > 1:\n                    raise RuntimeError(f'Invalid path expression near attempt to iterate through {shown}')\n                if tail.operation in ('indexexpr', 'index'):\n\n                    raise RuntimeError(f'Invalid path expression near attempt to access element {_stringify(key_value)} of {shown}')\n                if tail.operation == 'field':\n                    raise RuntimeError(f'Invalid path expression near attempt to access element {json.dumps(tail.arguments[0])} of {shown}')\n                raise RuntimeError('Invalid path expression')\n            for path in paths: yield list(path)        if name == 'pick':\n                raise RuntimeError('Out of bounds negative array index')\n            # ``pick`` returns a projection rooted like the input, rather than the\n            # value at the selected path.  Building from ``None`` also preserves\n            # the jq behavior of materializing missing object members as null.\n            result = None\n            for path in paths:\n                if path and isinstance(path[-1], (int, float)) and path[-1] < 0:\n                    raise RuntimeError('Out of bounds negative array index')\n                result = _set_path(result, path, _get_path(value, path))\n            yield result\n            return\n        if name == 'paths':\n            def paths_of(item, prefix=()):\n                if isinstance(item, list):\n                    for i, child in enumerate(item):\n                        p=prefix+(i,); yield list(p); yield from paths_of(child,p)\n                elif isinstance(item, dict):\n                    for key, child in item.items():\n                        p=prefix+(key,); yield list(p); yield from paths_of(child,p)\n            if args:\n                for item in _node(args[0], value, env): yield from paths_of(item)\n            else: yield from paths_of(value)\n            return\n        if name == 'indices':\n            for needle in (list(_node(args[0], value, env)) if args else [None]):\n                found: list[int] = []\n                if isinstance(value, str) and isinstance(needle, str):\n                    start=0\n                    while True:\n                        position=value.find(needle,start)\n                        if position < 0: break\n                        found.append(position); start=position+1\n                elif isinstance(value, list) and isinstance(needle, list):\n                    for i in range(len(value)-len(needle)+1):\n                        if _deep_equal(value[i:i+len(needle)],needle): found.append(i)\n                elif isinstance(value, list):\n                    for i,item in enumerate(value):\n                        if _deep_equal(item,needle): found.append(i)\n                yield found\n            return\n        if name == 'index':\n            needles = list(_node(args[0], value, env)) if args else [None]\n            for needle in needles:\n                if isinstance(value, str):\n                    found = value.find(needle)\n                elif isinstance(value, list):\n            for item in value:\n                if not isinstance(item, (int, float)) or isinstance(item, bool):\n                    shown = json.dumps(item, ensure_ascii=False) if isinstance(item, str) else _stringify(item)\n                    raise RuntimeError(f'{_type_name(item)} ({shown}) can\\'t be imploded, unicode codepoint needs to be numeric')\n                if isinstance(item, float) and math.isnan(item):\n                    raise RuntimeError('number (null) can\\'t be imploded, unicode codepoint needs to be numeric')\n                chars.append(chr(int(item)) if 0 <= int(item) <= 0x10ffff and not 0xd800 <= int(item) <= 0xdfff else '\\ufffd')\n            yield ''.join(chars); return\n        if name == 'explode':\n            if not isinstance(value, str): raise RuntimeError('explode input must be a string')\n            yield [ord(x) for x in value]; return\n        if name == 'limit':\n            counts=list(_node(args[0], value, env))\n            for count_value in counts:\n                count=int(count_value)\n                if count < 0: raise RuntimeError(\"limit doesn't support negative count\")\n                if count == 0: continue\n                for item in _node(args[1], value, env):\n                    yield item; count -= 1\n                    if count == 0: break\n            return\n        if name == 'skip':\n            counts=list(_node(args[0], value, env))\n            for count_value in counts:\n                count=int(count_value)\n                if count < 0: raise RuntimeError(\"skip doesn't support negative count\")\n                for item in _node(args[1], value, env):\n                    if count: count -= 1\n                    else: yield item\n            return\n        if name == 'join':\n            for separator in _node(args[0], value, env):\n                if not isinstance(value, list): raise RuntimeError('cannot join value')\n                pieces=[]\n                for item in value:\n                    if item is None: pieces.append('')\n                    elif isinstance(item, (str, int, float, bool)): pieces.append(_stringify(item))\n                    else:\n                        prefix=str(separator).join(pieces) + str(separator) if pieces else ''\n                        raise RuntimeError(f'{_type_name(prefix)} ({json.dumps(prefix)}) and {_type_name(item)} ({_stringify(item)}) cannot be added')\n                yield str(separator).join(pieces)\n            return\n        unary_math = {\n            'cbrt': lambda x: math.copysign(abs(x) ** (1.0 / 3.0), x),\n            'exp10': lambda x: 10.0 ** x,\n            'j0': lambda x: (_raise_unavailable('j0')),\n            'j1': lambda x: (_raise_unavailable('j1')),\n            'y0': lambda x: (_raise_unavailable('y0')),\n            'y1': lambda x: (_raise_unavailable('y1')),\n        }\n        unary_math_names = ('acos', 'acosh', 'asin', 'asinh', 'atan', 'atanh', 'ceil',\n                            'cos', 'cosh', 'erf', 'erfc', 'exp', 'exp2', 'expm1',\n                            'fabs', 'floor', 'gamma', 'lgamma', 'log', 'log10',\n                            'log1p', 'log2', 'sin', 'sinh', 'sqrt', 'tan', 'tanh',\n                            'tgamma', 'trunc')\n        if name in unary_math_names or name in unary_math:\n            function = unary_math.get(name, getattr(math, name, None))\n            if function is None: raise RuntimeError(f'{name} is not available')\n            yield function(value); return\n        binary_math = {\n            'atan2': math.atan2, 'copysign': math.copysign, 'drem': math.fmod,\n            'fdim': lambda x, y: max(x - y, 0.0), 'fmax': max, 'fmin': min,\n            'fmod': math.fmod, 'hypot': math.hypot, 'ldexp': math.ldexp,\n            'nextafter': math.nextafter, 'nexttoward': math.nextafter,\n            'pow': math.pow, 'remainder': math.remainder,\n        }\n        if name in binary_math:\n            for first, second in _cartesian_arguments(args, value, env):\n                yield binary_math[name](first, second)\n            return\n        if name in ('frexp', 'modf'):\n            function = getattr(math, name)\n            for (argument,) in _cartesian_arguments(args, value, env):\n                yield list(function(argument))\n            return\n        if name in ('jn', 'yn'):\n            function = getattr(math, name, None)\n            if function is None: raise RuntimeError(f'{name} is not available')\n            for first, second in _cartesian_arguments(args, value, env):\n                yield function(int(first), second)\n            return\n        if name == 'fma':\n            function = getattr(math, name, None)\n            if function is None: raise RuntimeError('fma is not available')\n            for first, second, third in _cartesian_arguments(args, value, env):\n                yield function(first, second, third)\n            return\n        if name in ('round','ceil','floor','fabs'):\n            if name == 'round': yield math.floor(value + 0.5)\n            else: yield getattr(math, name)(value)\n            return\n        if name == 'split':\n            separator = _one(args[0], value, env); yield value.split(separator); return\n        if name in ('ltrimstr','rtrimstr','trimstr'):\n            needle = _one(args[0], value, env)\n            if not isinstance(value, str) or not isinstance(needle, str):\n                raise RuntimeError(('startswith()' if name == 'ltrimstr' else 'endswith()') + ' requires string inputs')\n            if name == 'ltrimstr': yield value[len(needle):] if value.startswith(needle) else value\n            elif name == 'rtrimstr': yield value[:-len(needle)] if needle and value.endswith(needle) else value\n            else:\n                result = value\n                if needle and result.startswith(needle): result = result[len(needle):]\n                if needle and result.endswith(needle): result = result[:-len(needle)]\n                yield result\n            return\n        if name in ('trim','ltrim','rtrim'):\n            if not isinstance(value, str): raise RuntimeError('trim input must be a string')\n            yield value.strip() if name == 'trim' else value.lstrip() if name == 'ltrim' else value.rstrip(); return\n        if name == 'startswith':\n            yield value.startswith(_one(args[0], value, env)); return\n        if name == 'endswith':\n            yield value.endswith(_one(args[0], value, env)); return\n        if name in ('sort', 'unique'):\n            if not isinstance(value, list):\n                raise RuntimeError('cannot sort value')\n            ordered = sorted(value, key=_jq_sort_key)\n            if name == 'unique':\n__________ test_redefinition_does_not_rebind_an_earlier_function_body __________\n\n    def test_redefinition_does_not_rebind_an_earlier_function_body() -> None:\n        program = \"def f: 1; def g: f; def f: 2; [g, f]\"\n>       assert outputs(program, None) == [[1, 2]]\n\ntests/test_func_002_parameters.py:59: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \ntests/test_func_002_parameters.py:8: in outputs\n    return list(evaluate(parse(program), value))\njq_interpreter/evaluator.py:22: in evaluate\n    yield from _node(program, value, {})\njq_interpreter/evaluator.py:290: in _node\n    yield from _node(program, value, {**env, '__funcs__': funcs})\njq_interpreter/evaluator.py:175: in _node\n    elif op == \"array\": yield [] if a[0] is None else list(_node(a[0],value,env))\njq_interpreter/evaluator.py:188: in _node\n    elif op == \"binary\": yield from _binary(a[0],a[1],a[2],value,env)\njq_interpreter/evaluator.py:408: in _binary\n    if op==',': yield from _node(left,value,env); yield from _node(right,value,env); return\njq_interpreter/evaluator.py:266: in _node\n    elif op == \"call\": yield from _call(a[0],a[1],value,env)\njq_interpreter/evaluator.py:1057: in _call\n    yield from _node(body,value,local); return\njq_interpreter/evaluator.py:266: in _node\n    elif op == \"call\": yield from _call(a[0],a[1],value,env)\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nname = 'f', args = (), value = None\nenv = {'__funcs__': {'__funcs__': {('f', 0): ((), Node(operation='literal', arguments=('1',)), {'__funcs__': {(...): (...)}}), ('g', 0): ((), Node(operation='call', arguments=('f', ())), {'__funcs__': {(...): (...), (...): (...)}})}}}\n\n    def _call(name,args,value,env):\n        parameter = env.get('__params__', {}).get(name)\n        if parameter is not None:\n            bound_env, argument = parameter\n            yield from _node(argument, value, bound_env)\n            return\n        if not args and name in env:\n            bound = env[name]\n            if isinstance(bound, tuple) and bound and bound[0] == '__closure__':\n                yield from _node(bound[1], value, {**env, **bound[2]})\n            elif isinstance(bound, Node):\n                yield from _node(bound, value, env)\n            else:\n                yield bound\n            return\n        function = env.get('__funcs__',{}).get((name, len(args)))\n        if function is not None:\n            params, body, *closure = function\n            local=dict(env)\n            if closure:\n                local['__funcs__'] = closure[0]\n            if not args:\n                yield from _node(body,value,local); return\n            # Filter arguments remain lazy closures over the caller.  Value\n            # arguments are evaluated at the call site; every generated-value\n            # combination is a distinct invocation.\n            value_positions = [i for i, param in enumerate(params) if param.startswith('$')]\n            value_streams = [list(_node(args[i], value, env)) for i in value_positions]\n            combinations = itertools.product(*value_streams) if value_streams else [()]\n            captured = dict(env)\n            for combination in combinations:\n                parameters = dict(local.get('__params__', {}))\n                invocation = dict(local)\n                for position, (param, argument) in enumerate(zip(params, args)):\n                    parameter_name = param[1:] if param.startswith('$') else param\n                    if param.startswith('$'):\n                        value_index = value_positions.index(position)\n                        invocation[parameter_name] = combination[value_index]\n                    else:\n                        parameters[parameter_name] = (captured, argument)\n                invocation['__params__'] = parameters\n                yield from _node(body, value, invocation)\n            return\n        if name == 'empty': return\n        if name == 'error': raise RuntimeError(_one(args[0],value,env) if args else value)\n        if name=='length':\n            if isinstance(value, (list, dict, str)): yield len(value)\n            elif isinstance(value, (int, float)) and not isinstance(value, bool): yield _OverflowFloat(abs(value)) if isinstance(value, _OverflowFloat) else abs(value)\n            else: raise RuntimeError('length requires a string, array, object or number')\n            return\n        if name == 'add':\n            items = list(_node(args[0], value, env)) if args else list(value)\n            if not items: yield None\n            else:\n                result = items[0]\n                for item in items[1:]:\n                    if result is None: result = item\n                    elif item is None: continue\n                    elif isinstance(result, (int,float)) and isinstance(item,(int,float)): result += item\n                    elif isinstance(result, str) and isinstance(item,str): result += item\n                    elif isinstance(result,list) and isinstance(item,list): result += item\n                    elif isinstance(result,dict) and isinstance(item,dict): result = {**result,**item}\n                    else: raise RuntimeError('cannot add values')\n                yield result\n            return\n        if name=='type': yield 'null' if value is None else 'boolean' if isinstance(value,bool) else 'number' if isinstance(value,(int,float)) else 'string' if isinstance(value,str) else 'array' if isinstance(value,list) else 'object'; return\n        if name == 'has':\n            key = _one(args[0], value, env)\n            if isinstance(value, dict): yield str(key) in value\n            elif (isinstance(value, list) and isinstance(key, (int, float))\n                  and not isinstance(key, bool)\n                  and not (isinstance(key, float) and math.isnan(key))):\n                yield 0 <= int(key) < len(value)\n            else: yield False\n            return\n        if name=='not': yield not _truth(value); return\n        if name == 'have_decnum': yield False; return\n        if name in ('any', 'all'):\n            if len(args) > 1:\n                stream = _node(args[0], value, env)\n                condition = args[1]\n            elif args:\n                # The one-argument form applies its condition to each member of\n                # the input array, rather than evaluating it once against the\n                # array itself.  This distinction matters for generator-valued\n                # conditions such as ``any(not)``.\n                stream = iter(value if isinstance(value, list) else [])\n                condition = args[0]\n            else:\n                stream = iter(value if isinstance(value, list) else [])\n                condition = None\n            desired = name == 'any'\n            result = not desired\n            for item in stream:\n                tested = item if condition is None else _one(condition, item, env)\n                if _truth(tested) == desired:\n                    result = desired\n                    break\n            yield result\n            return\n        if name in ('min', 'max', 'min_by', 'max_by'):\n            # min_by/max_by receive a key filter, but always reduce the current\n            # input array.  The key filter is evaluated once per candidate item.\n            items = list(value) if isinstance(value, list) else []\n            if not items:\n                yield None\n                return\n            if name in ('min_by', 'max_by'):\n                keyed = [(_jq_sort_key(_one(args[0], item, env)), index, item)\n                         for index, item in enumerate(items)]\n                # jq keeps the first item for min_by ties and the last for max_by.\n                selected = min(keyed, key=lambda entry: (entry[0], entry[1])) if name == 'min_by' else max(keyed, key=lambda entry: (entry[0], entry[1]))\n                yield selected[2]\n            else:\n                yield (min if name == 'min' else max)(items, key=_jq_sort_key)\n            return\n        if name == 'isempty':\n            try:\n                next(_node(args[0], value, env))\n                yield True\n        if name=='abs': yield _OverflowFloat(abs(value)) if isinstance(value, _OverflowFloat) else abs(value); return\n        if name=='floor': yield math.floor(value); return\n\n            for x in value:\n                result.extend(_node(args[0], x, env))\n            yield result; return\n        if name == 'map_values':\n            if isinstance(value, list):\n                result=[]\n                for item in value: result.extend(_node(args[0], item, env))\n                yield result; return\n\n            if not isinstance(value, dict): raise RuntimeError('with_entries requires an object')\n            entries = [{'key': key, 'value': item} for key, item in value.items()]\n                transformed.extend(_node(args[0], entry, env))\n            result = {}\n            for entry in transformed:\n                if isinstance(entry, dict) and 'key' in entry:\n                    result[str(entry['key'])] = entry.get('value')        if name == 'walk':\n            empty = object()\n            def visit(item):\n                if isinstance(item, list):\n                    item = [child for child in (visit(child) for child in item) if child is not empty]\n                elif isinstance(item, dict):\n                    item = {key: child for key, child in ((key, visit(child)) for key, child in item.items()) if child is not empty}            if result is not empty:\n                yield result\n                        stack.append((item, None if remaining is None else remaining - 1))\n                    else:\n                        result.append(item)\n            result.reverse()\n        if name=='range':\n            for combo in _cartesian_arguments(args, value, env):\n                if len(combo) == 1:\n                    start, end, step = 0, combo[0], 1\n                else:\n                    start, end = combo[0], combo[1]\n                    step = combo[2] if len(combo) > 2 else 1\n                yield from range(int(start), int(end), int(step))\n            return\n        if name in ('while', 'until'):\n            # These are recursive filters, not scalar loops: every output of the\n            # update filter is a branch, and branches are visited depth-first.\n            def loop(current):\n                for condition in _node(args[0], current, env):\n                    if (name == 'while' and _truth(condition)) or (name == 'until' and _truth(condition)):\n                        if name == 'until':\n                            yield current\n                        else:\n                            yield current\n                            for updated in _node(args[1], current, env):                except Exception: raise RuntimeError(f'string ({json.dumps(value)}) cannot be parsed as a number')\n            return\n        if name == 'toboolean':\n            if isinstance(value, bool): yield value\n            elif isinstance(value, str) and value in ('true', 'false'): yield value == 'true'\n            else: raise RuntimeError(f'{_type_name(value)} ({_stringify(value) if not isinstance(value, str) else json.dumps(value)}) cannot be parsed as a boolean')\n            return\n        if name == 'utf8bytelength':\n            if not isinstance(value, str): raise RuntimeError(f'{_type_name(value)} ({_stringify(value)}) only strings have UTF-8 byte length')\n            yield len(value.encode()); return\n        if name == 'fromjson':\n            if not isinstance(value, str): raise RuntimeError('only strings can be parsed')\n            if value.startswith(\"{'\"):\n                raise RuntimeError(\"Invalid string literal; expected \\\", but got ' at line 1, column 5 (while parsing '{'a': 123}')\")\n            try:\n                if value in ('NaN', '-NaN'):\n                    yield float('nan'); return\n                if value.startswith(('NaN', '-NaN')) and len(value) > 3:\n                    raise RuntimeError(f\"Invalid numeric literal at EOF at line 1, column {len(value)} (while parsing '{value}')\")\n                yield _deep_json_loads(value)\n            except RuntimeError: raise\n            except Exception: raise RuntimeError('invalid JSON')\n            return\n        if name == 'path':\n            # A mapped value is no longer a location.  Preserve jq's useful\n            # diagnostic about the first operation that makes the path invalid.\n            expression = args[0]\n            mapped_node = None\n            tail = None\n            if expression.operation == 'binary' and expression.arguments[0] == '|':\n                if expression.arguments[2].operation == 'call' and expression.arguments[2].arguments[0] == 'map':\n                    mapped_node = expression.arguments[2]\n                elif (expression.arguments[1].operation == 'binary'\n                      and expression.arguments[1].arguments[0] == '|'\n                      and expression.arguments[1].arguments[2].operation == 'call'\n                      and expression.arguments[1].arguments[2].arguments[0] == 'map'):\n                    mapped_node = expression.arguments[1].arguments[2]\n                    tail = expression.arguments[2]\n            if mapped_node is not None:\n                source_values = list(_node(source, value, env))\n                mapped = list(_node(mapped_node, source_values[0] if source_values else [], env))\n                shown = _stringify(mapped[0]) if mapped else '[]'\n                if tail is None:\n                    raise RuntimeError(f'Invalid path expression with result {shown}')\n                if tail.operation == 'iterate':\n                    raise RuntimeError(f'Invalid path expression near attempt to iterate through {shown}')\n                if tail.operation in ('indexexpr', 'index'):\n                    key = tail.arguments[1] if tail.operation == 'indexexpr' else tail.arguments[1]\n                    key_value = _one(key, mapped[0] if mapped else value, env) if isinstance(key, Node) else key\n                    raise RuntimeError(f'Invalid path expression near attempt to access element {_stringify(key_value)} of {shown}')\n                if tail.operation == 'field':\n                    raise RuntimeError(f'Invalid path expression near attempt to access element {json.dumps(tail.arguments[0])} of {shown}')\n                raise RuntimeError(f'Invalid path expression with result {shown}')\n            paths = _paths(args[0], value, env)\n            if not paths:\n                raise RuntimeError('Invalid path expression')\n            for path in paths: yield list(path)\n            return\n        if name == 'pick':\n            paths = _paths(args[0], value, env)\n            if not paths: raise RuntimeError('Invalid path expression')\n            if paths[0] and isinstance(paths[0][-1], (int, float)) and paths[0][-1] < 0:\n                raise RuntimeError('Out of bounds negative array index')\n            # ``pick`` returns a projection rooted like the input, rather than the\n            # value at the selected path.  Building from ``None`` also preserves\n            # the jq behavior of materializing missing object members as null.\n            result = None\n            for path in paths:\n                if path and isinstance(path[-1], (int, float)) and path[-1] < 0:\n                    raise RuntimeError('Out of bounds negative array index')\n                result = _set_path(result, path, _get_path(value, path))\n            yield result\n            return\n        if name == 'paths':\n            def paths_of(item, prefix=()):\n                if isinstance(item, list):\n                    for i, child in enumerate(item):\n                        p=prefix+(i,); yield list(p); yield from paths_of(child,p)\n                elif isinstance(item, dict):\n                    for key, child in item.items():\n                        p=prefix+(key,); yield list(p); yield from paths_of(child,p)\n            if args:\n                for item in _node(args[0], value, env): yield from paths_of(item)\n            else: yield from paths_of(value)\n            return\n        if name == 'indices':\n            for needle in (list(_node(args[0], value, env)) if args else [None]):\n                found: list[int] = []\n                if isinstance(value, str) and isinstance(needle, str):\n                    start=0\n                    while True:\n                        position=value.find(needle,start)\n                        if position < 0: break\n                        found.append(position); start=position+1\n                elif isinstance(value, list) and isinstance(needle, list):\n                    for i in range(len(value)-len(needle)+1):\n                        if _deep_equal(value[i:i+len(needle)],needle): found.append(i)\n                elif isinstance(value, list):\n                    for i,item in enumerate(value):\n                        if _deep_equal(item,needle): found.append(i)\n                yield found\n            return\n        if name == 'index':\n            needles = list(_node(args[0], value, env)) if args else [None]\n            for needle in needles:\n                if isinstance(value, str):\n                    found = value.find(needle)\n                elif isinstance(value, list):\n                    found = next((i for i, item in enumerate(value) if _deep_equal(item, needle)), -1)\n                else:\n                    raise RuntimeError('cannot search value')\n                yield found if found >= 0 else None\n            return\n        if name in ('arrays','objects','iterables','booleans','numbers','strings','nulls','values','scalars','normals','finites'):\n            ok = {'arrays':isinstance(value,list),'objects':isinstance(value,dict),\n                  'iterables':isinstance(value,(list,dict)),'booleans':isinstance(value,bool),\n                  'numbers':isinstance(value,(int,float)) and not isinstance(value,bool),\n                  'strings':isinstance(value,str),'nulls':value is None,\n                  'values':value is not None,'scalars':not isinstance(value,(list,dict))}[name]\n            if ok: yield value\n            return\n        if name == 'keys':\n            if isinstance(value, dict): yield sorted(value)\n            elif isinstance(value, list): yield list(range(len(value)))\n            else: raise RuntimeError('keys requires object or array')\n            return\n        if name == 'getpath':\n            path = _one(args[0], value, env)\n            if not isinstance(path, list): raise RuntimeError('Paths must be specified as an array')\n            if len(path) > 10000: raise RuntimeError('Path too deep')\n            yield _get_path_checked(value, tuple(path)); return\n        if name == 'setpath':\n            path = _one(args[0], value, env); replacement = _one(args[1], value, env)\n            if not isinstance(path, list): raise RuntimeError('Paths must be specified as an array')\n            if len(path) > 10000: raise RuntimeError('Path too deep')\n            yield _set_path_checked(value, tuple(path), replacement); return\n        if name == 'delpaths':\n            paths = _one(args[0], value, env)\n            if not isinstance(paths, list): raise RuntimeError('Paths must be specified as an array')\n            if any(isinstance(path, list) and len(path) > 10000 for path in paths):\n                raise RuntimeError('Path too deep')\n            result = value\n            for path in paths:\n                if isinstance(path, list): result = _delete_path_checked(result, tuple(path))\n            yield result; return\n        if name == 'del':\n            all_paths = []\n            for path_expr in args:\n                try:\n                    all_paths.extend(_paths(path_expr, value, env))\n                except RuntimeError:\n                    # `del(.[nan])` is a no-op in jq; the same invalid index is\n                    # still an error for an assignment, handled by _paths above.\n                    continue\n            result = value\n            grouped = {}\n            for path in all_paths:\n                if path:\n                    parent, key = path[:-1], path[-1]\n                    # jq resolves every deletion path against the original\n                    # value.  Normalize negative array indices before applying\n                    # any mutation so later removals cannot change their target.\n                    container = _get_path(value, parent)\n                    if isinstance(container, list) and isinstance(key, (int, float)) and key < 0:\n                        key = len(container) + int(key)\n                    grouped.setdefault(parent, set()).add(key)\n            # Remove array members in descending index order so one deletion\n            # cannot shift a later member.  Deeper parents are handled first.\n            for parent in sorted(grouped, key=lambda item: len(item), reverse=True):\n                for key in sorted(grouped[parent], key=lambda item: item if isinstance(item, (int, float)) else 0, reverse=True):\n                    result = _delete_path(result, parent + (key,))\n            if any(not path for path in all_paths):\n                result = None\n            yield result\n            return\n        if name == 'rindex':\n            needles = list(_node(args[0], value, env)) if args else [None]\n            for needle in needles:\n                if isinstance(value, str): yield value.rfind(needle) if needle in value else None\n                elif isinstance(value, list):\n                    try: yield len(value) - 1 - value[::-1].index(needle)\n                    except ValueError: yield None\n                else: raise RuntimeError('cannot search value')\n            return\n        if name == 'first':\n            try: yield next(_node(args[0], value, env))\n            except StopIteration: return\n            return\n        if name == 'last':\n            vals=list(_node(args[0], value, env));\n            if vals: yield vals[-1]\n            return\n        if name == 'select':\n            if _truth(_one(args[0], value, env)): yield value\n            return\n        if name == 'infinite': yield float('inf'); return\n        if name == 'nan': yield float('nan'); return\n        if name in ('isnan', 'isinfinite', 'isfinite', 'isnormal'):\n            numeric = isinstance(value, (int, float)) and not isinstance(value, bool)\n            if name == 'isnan': result = numeric and isinstance(value, float) and math.isnan(value)\n            elif name == 'isinfinite': result = numeric and math.isinf(value)\n            elif name == 'isfinite': result = numeric and math.isfinite(value)\n            else: result = numeric and math.isfinite(value) and value != 0 and abs(value) >= sys.float_info.min\n            yield result; return\n        if name == 'gmtime':\n            stamp = float(value)\n            dt = datetime.datetime.fromtimestamp(stamp, datetime.timezone.utc)\n            yield [dt.year, dt.month - 1, dt.day, dt.hour, dt.minute,\n                   dt.second + (stamp - int(stamp)), dt.weekday(),\n                   dt.timetuple().tm_yday - 1]\n            return\n        if name == 'pow': yield math.pow(_one(args[0],value,env), _one(args[1],value,env)); return\n        if name == 'implode':\n            if not isinstance(value, list): raise RuntimeError('implode input must be an array')\n            chars=[]\n            for item in value:\n                if not isinstance(item, (int, float)) or isinstance(item, bool):\n                    shown = json.dumps(item, ensure_ascii=False) if isinstance(item, str) else _stringify(item)\n                    raise RuntimeError(f'{_type_name(item)} ({shown}) can\\'t be imploded, unicode codepoint needs to be numeric')\n                if isinstance(item, float) and math.isnan(item):\n                    raise RuntimeError('number (null) can\\'t be imploded, unicode codepoint needs to be numeric')\n                chars.append(chr(int(item)) if 0 <= int(item) <= 0x10ffff and not 0xd800 <= int(item) <= 0xdfff else '\\ufffd')\n            yield ''.join(chars); return\n        if name == 'explode':\n            if not isinstance(value, str): raise RuntimeError('explode input must be a string')\n            yield [ord(x) for x in value]; return\n        if name == 'limit':\n            counts=list(_node(args[0], value, env))\n            for count_value in counts:\n                count=int(count_value)\n                if count < 0: raise RuntimeError(\"limit doesn't support negative count\")\n                if count == 0: continue\n                for item in _node(args[1], value, env):\n                    yield item; count -= 1\n                    if count == 0: break\n            return\n        if name == 'skip':\n            counts=list(_node(args[0], value, env))\n            for count_value in counts:\n                count=int(count_value)\n                if count < 0: raise RuntimeError(\"skip doesn't support negative count\")\n                for item in _node(args[1], value, env):\n                    if count: count -= 1\n                    else: yield item\n            return\n        if name == 'join':\n            for separator in _node(args[0], value, env):\n                if not isinstance(value, list): raise RuntimeError('cannot join value')\n                pieces=[]\n                for item in value:\n                    if item is None: pieces.append('')\n                    elif isinstance(item, (str, int, float, bool)): pieces.append(_stringify(item))\n                    else:\n                        prefix=str(separator).join(pieces) + str(separator) if pieces else ''\n                        raise RuntimeError(f'{_type_name(prefix)} ({json.dumps(prefix)}) and {_type_name(item)} ({_stringify(item)}) cannot be added')\n                yield str(separator).join(pieces)\n            return\n        unary_math = {\n            'cbrt': lambda x: math.copysign(abs(x) ** (1.0 / 3.0), x),\n            'exp10': lambda x: 10.0 ** x,\n            'j0': lambda x: (_raise_unavailable('j0')),\n            'j1': lambda x: (_raise_unavailable('j1')),\n            'y0': lambda x: (_raise_unavailable('y0')),\n            'y1': lambda x: (_raise_unavailable('y1')),\n        }\n        unary_math_names = ('acos', 'acosh', 'asin', 'asinh', 'atan', 'atanh', 'ceil',\n                            'cos', 'cosh', 'erf', 'erfc', 'exp', 'exp2', 'expm1',\n                            'fabs', 'floor', 'gamma', 'lgamma', 'log', 'log10',\n                            'log1p', 'log2', 'sin', 'sinh', 'sqrt', 'tan', 'tanh',\n                            'tgamma', 'trunc')\n        if name in unary_math_names or name in unary_math:\n            function = unary_math.get(name, getattr(math, name, None))\n            if function is None: raise RuntimeError(f'{name} is not available')\n            yield function(value); return\n        binary_math = {\n            'atan2': math.atan2, 'copysign': math.copysign, 'drem': math.fmod,\n            'fdim': lambda x, y: max(x - y, 0.0), 'fmax': max, 'fmin': min,\n            'fmod': math.fmod, 'hypot': math.hypot, 'ldexp': math.ldexp,\n            'nextafter': math.nextafter, 'nexttoward': math.nextafter,\n            'pow': math.pow, 'remainder': math.remainder,\n        }\n        if name in binary_math:\n            for first, second in _cartesian_arguments(args, value, env):\n                yield binary_math[name](first, second)\n            return\n        if name in ('frexp', 'modf'):\n            function = getattr(math, name)\n            for (argument,) in _cartesian_arguments(args, value, env):\n                yield list(function(argument))\n            return\n        if name in ('jn', 'yn'):\n            function = getattr(math, name, None)\n            if function is None: raise RuntimeError(f'{name} is not available')\n            for first, second in _cartesian_arguments(args, value, env):\n                yield function(int(first), second)\n            return\n        if name == 'fma':\n            function = getattr(math, name, None)\n            if function is None: raise RuntimeError('fma is not available')\n            for first, second, third in _cartesian_arguments(args, value, env):\n                yield function(first, second, third)\n            return\n        if name in ('round','ceil','floor','fabs'):\n            if name == 'round': yield math.floor(value + 0.5)\n            else: yield getattr(math, name)(value)\n            return\n        if name == 'split':\n            separator = _one(args[0], value, env); yield value.split(separator); return\n        if name in ('ltrimstr','rtrimstr','trimstr'):\n            needle = _one(args[0], value, env)\n            if not isinstance(value, str) or not isinstance(needle, str):\n                raise RuntimeError(('startswith()' if name == 'ltrimstr' else 'endswith()') + ' requires string inputs')\n            if name == 'ltrimstr': yield value[len(needle):] if value.startswith(needle) else value\n            elif name == 'rtrimstr': yield value[:-len(needle)] if needle and value.endswith(needle) else value\n            else:\n                result = value\n                if needle and result.startswith(needle): result = result[len(needle):]\n                if needle and result.endswith(needle): result = result[:-len(needle)]\n                yield result\n            return\n        if name in ('trim','ltrim','rtrim'):\n            if not isinstance(value, str): raise RuntimeError('trim input must be a string')\n            yield value.strip() if name == 'trim' else value.lstrip() if name == 'ltrim' else value.rstrip(); return\n        if name == 'startswith':\n            yield value.startswith(_one(args[0], value, env)); return\n        if name == 'endswith':\n            yield value.endswith(_one(args[0], value, env)); return\n        if name in ('sort', 'unique'):\n            if not isinstance(value, list):\n                raise RuntimeError('cannot sort value')\n            ordered = sorted(value, key=_jq_sort_key)\n            if name == 'unique':\n                ordered = _dedupe_sorted(ordered)\n            yield ordered\n            return\n        if name in ('sort_by', 'group_by'):\n            if not isinstance(value, list): raise RuntimeError('cannot sort value')\n            key_filter = args[0]\n            keyed = [(item, tuple(_node(key_filter, item, env))) for item in value]\n            keyed.sort(key=lambda pair: tuple(_jq_sort_key(k) for k in pair[1]))\n            ordered = [item for item, _ in keyed]\n            if name == 'group_by':\n                groups=[]\n                for item, key in keyed:\n                    if not groups or key != groups[-1][0]: groups.append((key, [item]))\n                    else: groups[-1][1].append(item)\n                yield [items for _, items in groups]\n            else: yield ordered\n            return\n>       raise RuntimeError(f\"unknown function {name}\")\nE       jq_interpreter.errors.RuntimeError: unknown function f\n\njq_interpreter/evaluator.py:1768: RuntimeError\n=========================== short test summary info ============================\nFAILED tests/test_func_002_parameters.py::test_function_captures_definition_scope_instead_of_call_scope\nFAILED tests/test_func_002_parameters.py::test_recursive_function_uses_its_own_definition\nFAILED tests/test_func_002_parameters.py::test_redefinition_does_not_rebind_an_earlier_function_body\n3 failed, 6 passed in 1.23s\n","exit_code":1,"status":"failed"}}
{"type":"item.started","item":{"id":"item_13","type":"file_change","changes":[{"path":"/mnt/c/Users/barlo/projects/drydock/uat/jq/runs/20260822.044627/build/jq/jq_interpreter/evaluator.py","kind":"update"}],"status":"in_progress"}}
{"type":"item.completed","item":{"id":"item_13","type":"file_change","changes":[{"path":"/mnt/c/Users/barlo/projects/drydock/uat/jq/runs/20260822.044627/build/jq/jq_interpreter/evaluator.py","kind":"update"}],"status":"completed"}}
{"type":"item.started","item":{"id":"item_14","type":"command_execution","command":"/bin/bash -lc 'pytest -q tests/test_func_002_parameters.py && pytest -q --disable-warnings --maxfail=1 && env JQ=\"$PWD/jq\" python3 sources/run_conformance.py --select '\"'def ' --json\"","aggregated_output":"","exit_code":null,"status":"in_progress"}}
{"type":"item.completed","item":{"id":"item_14","type":"command_execution","command":"/bin/bash -lc 'pytest -q tests/test_func_002_parameters.py && pytest -q --disable-warnings --maxfail=1 && env JQ=\"$PWD/jq\" python3 sources/run_conformance.py --select '\"'def ' --json\"","aggregated_output":".........                                                                [100%]\n9 passed in 0.43s\n........................................................................ [ 60%]\n................................................                         [100%]\n120 passed in 12.19s\n{\n  \"candidate\": [\n    \"/mnt/c/Users/barlo/projects/drydock/uat/jq/runs/20260822.044627/build/jq/jq\"\n  ],\n  \"corpus\": \"jq.test\",\n  \"summary\": {\n    \"pass\": 15,\n    \"fail\": 0,\n    \"error\": 0,\n    \"skip\": 2\n  },\n  \"cases\": [\n    {\n      \"line\": 1900,\n      \"program\": \"import \\\"a\\\" as foo; import \\\"b\\\" as bar; def fooa: foo::a; [fooa, bar::a, bar::b, foo::a]\",\n      \"status\": \"skip\",\n      \"detail\": \"declared in exclusions.txt\",\n      \"expect_failure\": false,\n      \"expected\": [\n        \"[\\\"a\\\",\\\"b\\\",\\\"c\\\",\\\"a\\\"]\"\n      ],\n      \"actual\": []\n    },\n    {\n      \"line\": 1917,\n      \"program\": \"import \\\"data\\\" as $a; import \\\"data\\\" as $b; def f: {$a, $b}; f\",\n      \"status\": \"skip\",\n      \"detail\": \"declared in exclusions.txt\",\n      \"expect_failure\": false,\n      \"expected\": [\n        \"{\\\"a\\\":[{\\\"this\\\":\\\"is a test\\\",\\\"that\\\":\\\"is too\\\"}],\\\"b\\\":[{\\\"this\\\":\\\"is a test\\\",\\\"that\\\":\\\"is too\\\"}]}\"\n      ],\n      \"actual\": []\n    }\n  ]\n}\n","exit_code":0,"status":"completed"}}
{"type":"item.completed","item":{"id":"item_15","type":"agent_message","text":"The closure fix is in place and verified: focused function tests and the full project test suite pass, and the declared `def ` conformance slice remains at 15 passes, 0 failures, 0 errors, with 2 declared module skips. I’m doing a final diff/status check now."}}
{"type":"item.started","item":{"id":"item_16","type":"command_execution","command":"/bin/bash -lc 'git diff -- jq_interpreter/evaluator.py tests/test_func_002_parameters.py && git status --short'","aggregated_output":"","exit_code":null,"status":"in_progress"}}
{"type":"item.completed","item":{"id":"item_16","type":"command_execution","command":"/bin/bash -lc 'git diff -- jq_interpreter/evaluator.py tests/test_func_002_parameters.py && git status --short'","aggregated_output":" M jq_interpreter/cli.py\n M jq_interpreter/errors.py\n M jq_interpreter/evaluator.py\n M jq_interpreter/interpreter.py\n M jq_interpreter/parser.py\n M ../../evidence/commands/07-after-plan-target-status.stdout.log\n D ../../evidence/commands/10-initial-build-1.llm.log\n M ../../evidence/commands/10-initial-build-1.stderr.log\n M ../../evidence/commands/10-initial-build-1.stdout.log\n D ../../evidence/commands/11-after-initial-build-build-status.stderr.log\n D ../../evidence/commands/11-after-initial-build-build-status.stdout.log\n D ../../evidence/commands/12-after-initial-build-target-status.stderr.log\n D ../../evidence/commands/12-after-initial-build-target-status.stdout.log\n D ../../evidence/commands/13-after-initial-build-workspace-status.stderr.log\n D ../../evidence/commands/13-after-initial-build-workspace-status.stdout.log\n M ../../workspace/logs/history.jsonl\n D ../../workspace/targets/jq/ERRORS.md\n M ../../workspace/targets/jq/MANIFEST.md\n M ../../workspace/targets/jq/PROJECT_STATUS.jsonl\n M ../../workspace/targets/jq/QuarterDeck/commanders_chair.html\n D ../../workspace/targets/jq/STOP_NOW.md\n M ../../workspace/targets/jq/evidence/block-8.md\n M ../../workspace/targets/jq/evidence/prepassed-acceptance.json\n?? tests/test_core_002_composition.py\n?? tests/test_core_003_errors.py\n?? tests/test_core_004_truthiness_comparison.py\n?? tests/test_flow_001_operators.py\n?? tests/test_flow_002_boolean_alternative.py\n?? tests/test_flow_003_conditionals_exceptions.py\n?? tests/test_flow_004_labels_breaks.py\n?? tests/test_flow_005_reductions_iteration.py\n?? tests/test_flow_006_recursive_generators.py\n?? tests/test_func_002_parameters.py\n?? tests/test_service_lexical_bindings.py\n?? tests/test_stream_evaluator.py\n?? tests/test_value_001.py\n?? tests/test_value_002_access.py\n?? tests/test_value_003_slices_iteration.py\n?? tests/test_value_004.py\n?? ../../evidence/commands/superseded/20260822.234907/\n?? ../../workspace/logs/20260822.234907.752Z_verify_plan_codex.log\n?? ../../workspace/logs/20260822.234909.429Z_jq_build.log\n?? ../../workspace/logs/20260822.234913.457Z_jq_status.log\n?? ../../workspace/logs/20260822.234914.626Z_status.log\n?? ../../workspace/logs/20260822.234915.081Z_jq_status.log\n?? ../../workspace/logs/20260822.234915.446Z_jq_build_codex.log\n?? ../../workspace/logs/20260822.235339.932Z_jq_build_codex.llm.log\n?? ../../workspace/logs/20260822.235339.932Z_jq_build_codex.output.txt\n?? ../../workspace/logs/20260822.235339.932Z_jq_build_codex.prompt.md\n?? ../../workspace/logs/20260822.235339.932Z_jq_build_codex.raw.jsonl\n?? ../../workspace/logs/20260822.235339.932Z_jq_build_codex.stderr.log\n?? ../../workspace/logs/20260823.000143.358Z_jq_build_codex.llm.log\n?? ../../workspace/logs/20260823.000143.358Z_jq_build_codex.output.txt\n?? ../../workspace/logs/20260823.000143.358Z_jq_build_codex.prompt.md\n?? ../../workspace/logs/20260823.000143.358Z_jq_build_codex.raw.jsonl\n?? ../../workspace/logs/20260823.000143.358Z_jq_build_codex.stderr.log\n?? ../../workspace/logs/20260823.001232.569Z_jq_build_codex.llm.log\n?? ../../workspace/logs/20260823.001232.569Z_jq_build_codex.output.txt\n?? ../../workspace/logs/20260823.001232.569Z_jq_build_codex.prompt.md\n?? ../../workspace/logs/20260823.001232.569Z_jq_build_codex.raw.jsonl\n?? ../../workspace/logs/20260823.001232.569Z_jq_build_codex.stderr.log\n?? ../../workspace/logs/20260823.002204.979Z_jq_build_codex.llm.log\n?? ../../workspace/logs/20260823.002204.979Z_jq_build_codex.output.txt\n?? ../../workspace/logs/20260823.002204.979Z_jq_build_codex.prompt.md\n?? ../../workspace/logs/20260823.002204.979Z_jq_build_codex.raw.jsonl\n?? ../../workspace/logs/20260823.003038.923Z_jq_build_codex.llm.log\n?? ../../workspace/logs/20260823.003038.923Z_jq_build_codex.output.txt\n?? ../../workspace/logs/20260823.003038.923Z_jq_build_codex.prompt.md\n?? ../../workspace/logs/20260823.003038.923Z_jq_build_codex.raw.jsonl\n?? ../../workspace/logs/20260823.003038.923Z_jq_build_codex.stderr.log\n?? ../../workspace/logs/20260823.004037.072Z_jq_build_codex.llm.log\n?? ../../workspace/logs/20260823.004037.072Z_jq_build_codex.output.txt\n?? ../../workspace/logs/20260823.004037.072Z_jq_build_codex.prompt.md\n?? ../../workspace/logs/20260823.004037.072Z_jq_build_codex.raw.jsonl\n?? ../../workspace/logs/20260823.004037.072Z_jq_build_codex.stderr.log\n?? ../../workspace/logs/20260823.005049.805Z_jq_build_codex.llm.log\n?? ../../workspace/logs/20260823.005049.805Z_jq_build_codex.output.txt\n?? ../../workspace/logs/20260823.005049.805Z_jq_build_codex.prompt.md\n?? ../../workspace/logs/20260823.005049.805Z_jq_build_codex.raw.jsonl\n?? ../../workspace/logs/20260823.005903.917Z_jq_build_codex.llm.log\n?? ../../workspace/logs/20260823.005903.917Z_jq_build_codex.output.txt\n?? ../../workspace/logs/20260823.005903.917Z_jq_build_codex.prompt.md\n?? ../../workspace/logs/20260823.005903.917Z_jq_build_codex.raw.jsonl\n?? ../../workspace/logs/20260823.005903.917Z_jq_build_codex.stderr.log\n?? ../../workspace/logs/20260823.010841.589Z_jq_build_codex.llm.log\n?? ../../workspace/logs/20260823.010841.589Z_jq_build_codex.output.txt\n?? ../../workspace/logs/20260823.010841.589Z_jq_build_codex.prompt.md\n?? ../../workspace/logs/20260823.010841.589Z_jq_build_codex.raw.jsonl\n?? ../../workspace/logs/20260823.010841.589Z_jq_build_codex.stderr.log\n?? ../../workspace/logs/20260823.011808.307Z_jq_build_codex.llm.log\n?? ../../workspace/logs/20260823.011808.307Z_jq_build_codex.output.txt\n?? ../../workspace/logs/20260823.011808.307Z_jq_build_codex.prompt.md\n?? ../../workspace/logs/20260823.011808.307Z_jq_build_codex.raw.jsonl\n?? ../../workspace/logs/20260823.011808.307Z_jq_build_codex.stderr.log\n?? ../../workspace/logs/20260823.013010.037Z_jq_build_codex.llm.log\n?? ../../workspace/logs/20260823.013010.037Z_jq_build_codex.output.txt\n?? ../../workspace/logs/20260823.013010.037Z_jq_build_codex.prompt.md\n?? ../../workspace/logs/20260823.013010.037Z_jq_build_codex.raw.jsonl\n?? ../../workspace/logs/20260823.013010.037Z_jq_build_codex.stderr.log\n?? ../../workspace/logs/20260823.014128.073Z_jq_build_codex.llm.log\n?? ../../workspace/logs/20260823.014128.073Z_jq_build_codex.output.txt\n?? ../../workspace/logs/20260823.014128.073Z_jq_build_codex.prompt.md\n?? ../../workspace/logs/20260823.014128.073Z_jq_build_codex.raw.jsonl\n?? ../../workspace/logs/20260823.014128.073Z_jq_build_codex.stderr.log\n?? ../../workspace/logs/20260823.015653.931Z_jq_build_codex.llm.log\n?? ../../workspace/logs/20260823.015653.931Z_jq_build_codex.output.txt\n?? ../../workspace/logs/20260823.015653.931Z_jq_build_codex.prompt.md\n?? ../../workspace/logs/20260823.015653.931Z_jq_build_codex.raw.jsonl\n?? ../../workspace/logs/20260823.015653.931Z_jq_build_codex.stderr.log\n?? ../../workspace/logs/20260823.020504.857Z_jq_build_codex.llm.log\n?? ../../workspace/logs/20260823.020504.857Z_jq_build_codex.output.txt\n?? ../../workspace/logs/20260823.020504.857Z_jq_build_codex.prompt.md\n?? ../../workspace/logs/20260823.020504.857Z_jq_build_codex.raw.jsonl\n?? ../../workspace/logs/20260823.020504.857Z_jq_build_codex.stderr.log\n?? ../../workspace/logs/20260823.021651.942Z_jq_build_codex.llm.log\n?? ../../workspace/logs/20260823.021651.942Z_jq_build_codex.output.txt\n?? ../../workspace/logs/20260823.021651.942Z_jq_build_codex.prompt.md\n?? ../../workspace/logs/20260823.021651.942Z_jq_build_codex.raw.jsonl\n?? ../../workspace/logs/20260823.022052.850Z_jq_build_codex.llm.log\n?? ../../workspace/logs/20260823.022052.850Z_jq_build_codex.output.txt\n?? ../../workspace/logs/20260823.022052.850Z_jq_build_codex.prompt.md\n?? ../../workspace/logs/20260823.022052.850Z_jq_build_codex.raw.jsonl\n?? ../../workspace/logs/20260823.022510.696Z_jq_build_codex.llm.log\n?? ../../workspace/logs/20260823.022510.696Z_jq_build_codex.output.txt\n?? ../../workspace/logs/20260823.022510.696Z_jq_build_codex.prompt.md\n?? ../../workspace/logs/20260823.022510.696Z_jq_build_codex.raw.jsonl\n?? ../../workspace/logs/20260823.022843.056Z_jq_build_codex.llm.log\n?? ../../workspace/logs/20260823.022843.056Z_jq_build_codex.output.txt\n?? ../../workspace/logs/20260823.022843.056Z_jq_build_codex.prompt.md\n?? ../../workspace/logs/20260823.022843.056Z_jq_build_codex.raw.jsonl\n?? ../../workspace/logs/20260823.023237.129Z_jq_build_codex.llm.log\n?? ../../workspace/logs/20260823.023237.129Z_jq_build_codex.output.txt\n?? ../../workspace/logs/20260823.023237.129Z_jq_build_codex.prompt.md\n?? ../../workspace/logs/20260823.023237.129Z_jq_build_codex.raw.jsonl\n?? ../../workspace/logs/20260823.023629.826Z_jq_build_codex.llm.log\n?? ../../workspace/logs/20260823.023629.826Z_jq_build_codex.output.txt\n?? ../../workspace/logs/20260823.023629.826Z_jq_build_codex.prompt.md\n?? ../../workspace/logs/20260823.023629.826Z_jq_build_codex.raw.jsonl\n?? ../../workspace/logs/20260823.024036.322Z_jq_build_codex.llm.log\n?? ../../workspace/logs/20260823.024036.322Z_jq_build_codex.output.txt\n?? ../../workspace/logs/20260823.024036.322Z_jq_build_codex.prompt.md\n?? ../../workspace/logs/20260823.024036.322Z_jq_build_codex.raw.jsonl\n?? ../../workspace/logs/20260823.024538.026Z_jq_build_codex.llm.log\n?? ../../workspace/logs/20260823.024538.026Z_jq_build_codex.output.txt\n?? ../../workspace/logs/20260823.024538.026Z_jq_build_codex.prompt.md\n?? ../../workspace/logs/20260823.024538.026Z_jq_build_codex.raw.jsonl\n?? ../../workspace/logs/20260823.025144.476Z_jq_build_codex.llm.log\n?? ../../workspace/logs/20260823.025144.476Z_jq_build_codex.output.txt\n?? ../../workspace/logs/20260823.025144.476Z_jq_build_codex.prompt.md\n?? ../../workspace/logs/20260823.025144.476Z_jq_build_codex.raw.jsonl\n?? ../../workspace/logs/20260823.025726.811Z_jq_build_codex.llm.log\n?? ../../workspace/logs/20260823.025726.811Z_jq_build_codex.output.txt\n?? ../../workspace/logs/20260823.025726.811Z_jq_build_codex.prompt.md\n?? ../../workspace/logs/20260823.025726.811Z_jq_build_codex.raw.jsonl\n?? ../../workspace/logs/20260823.030233.466Z_jq_build_codex.llm.log\n?? ../../workspace/logs/20260823.030233.466Z_jq_build_codex.output.txt\n?? ../../workspace/logs/20260823.030233.466Z_jq_build_codex.prompt.md\n?? ../../workspace/logs/20260823.030233.466Z_jq_build_codex.raw.jsonl\n?? ../../workspace/logs/20260823.030840.777Z_jq_build_codex.llm.log\n?? ../../workspace/logs/20260823.030840.777Z_jq_build_codex.output.txt\n?? ../../workspace/logs/20260823.030840.777Z_jq_build_codex.prompt.md\n?? ../../workspace/logs/20260823.030840.777Z_jq_build_codex.raw.jsonl\n?? ../../workspace/logs/20260823.030840.777Z_jq_build_codex.stderr.log\n?? ../../workspace/logs/20260823.031407.736Z_jq_build_codex.llm.log\n?? ../../workspace/logs/20260823.031407.736Z_jq_build_codex.output.txt\n?? ../../workspace/logs/20260823.031407.736Z_jq_build_codex.prompt.md\n?? ../../workspace/logs/20260823.031407.736Z_jq_build_codex.raw.jsonl\n?? ../../workspace/logs/20260823.032028.932Z_jq_build_codex.llm.log\n?? ../../workspace/logs/20260823.032028.932Z_jq_build_codex.output.txt\n?? ../../workspace/logs/20260823.032028.932Z_jq_build_codex.prompt.md\n?? ../../workspace/logs/20260823.032028.932Z_jq_build_codex.raw.jsonl\n?? ../../workspace/logs/20260823.032616.141Z_jq_build_codex.llm.log\n?? ../../workspace/logs/20260823.032616.141Z_jq_build_codex.output.txt\n?? ../../workspace/logs/20260823.032616.141Z_jq_build_codex.prompt.md\n?? ../../workspace/logs/20260823.032616.141Z_jq_build_codex.raw.jsonl\n?? ../../workspace/logs/20260823.033302.960Z_jq_build_codex.llm.log\n?? ../../workspace/logs/20260823.033302.960Z_jq_build_codex.output.txt\n?? ../../workspace/logs/20260823.033302.960Z_jq_build_codex.prompt.md\n?? ../../workspace/logs/20260823.033302.960Z_jq_build_codex.raw.jsonl\n?? ../../workspace/logs/20260823.033302.960Z_jq_build_codex.stderr.log\n?? ../../workspace/logs/20260823.033926.906Z_jq_build_codex.prompt.md\n?? ../../workspace/logs/20260823.033926.906Z_jq_build_codex.raw.jsonl\n?? ../../workspace/logs/20260823.033926.906Z_jq_build_codex.stderr.log\n?? ../../workspace/targets/jq/evidence/block-10.md\n?? ../../workspace/targets/jq/evidence/block-11.md\n?? ../../workspace/targets/jq/evidence/block-12.md\n?? ../../workspace/targets/jq/evidence/block-13.md\n?? ../../workspace/targets/jq/evidence/block-14.md\n?? ../../workspace/targets/jq/evidence/block-15.md\n?? ../../workspace/targets/jq/evidence/block-16.md\n?? ../../workspace/targets/jq/evidence/block-17.md\n?? ../../workspace/targets/jq/evidence/block-18.md\n?? ../../workspace/targets/jq/evidence/block-19.md\n?? ../../workspace/targets/jq/evidence/block-20.md\n?? ../../workspace/targets/jq/evidence/block-21.md\n?? ../../workspace/targets/jq/evidence/block-22.md\n?? ../../workspace/targets/jq/evidence/block-23.md\n?? ../../workspace/targets/jq/evidence/block-24.md\n?? ../../workspace/targets/jq/evidence/block-9.md\n","exit_code":0,"status":"completed"}}
{"type":"item.completed","item":{"id":"item_17","type":"agent_message","text":"RESULT: SUCCESS\n\nFILES CHANGED:\n- jq_interpreter/evaluator.py\n- tests/test_func_002_parameters.py\n\nSUMMARY:\nImplemented definition-time lexical closures while preserving recursion, redefinition, arity, and generator behavior.\n\nVerification:\n- 120 pytest tests passed.\n- Conformance `def ` slice: 15 passed, 0 failed, 0 errored, 2 skipped.\n\nBLOCKERS:\n- None"}}
{"type":"turn.completed","usage":{"input_tokens":1420350,"cached_input_tokens":1286912,"cache_write_input_tokens":0,"output_tokens":4382,"reasoning_output_tokens":1809}}
