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/* Execute compiled code */
/* XXX TO DO:
XXX speed up searching for keywords by using a dictionary
XXX document it!
*/
/* enable more aggressive intra-module optimizations, where available */
#define PY_LOCAL_AGGRESSIVE
#include "Python.h"
#include "internal/pystate.h"
#include "code.h"
#include "dictobject.h"
#include "frameobject.h"
#include "opcode.h"
#include "pydtrace.h"
#include "setobject.h"
#include "structmember.h"
#include <ctype.h>
#ifdef Py_DEBUG
/* For debugging the interpreter: */
#define LLTRACE 1 /* Low-level trace feature */
#define CHECKEXC 1 /* Double-check exception checking */
#endif
/* Private API for the LOAD_METHOD opcode. */
extern int _PyObject_GetMethod(PyObject *, PyObject *, PyObject **);
typedef PyObject *(*callproc)(PyObject *, PyObject *, PyObject *);
/* Forward declarations */
Py_LOCAL_INLINE(PyObject *) call_function(PyObject ***, Py_ssize_t,
PyObject *);
static PyObject * do_call_core(PyObject *, PyObject *, PyObject *);
#ifdef LLTRACE
static int lltrace;
static int prtrace(PyObject *, const char *);
#endif
static int call_trace(Py_tracefunc, PyObject *,
PyThreadState *, PyFrameObject *,
int, PyObject *);
static int call_trace_protected(Py_tracefunc, PyObject *,
PyThreadState *, PyFrameObject *,
int, PyObject *);
static void call_exc_trace(Py_tracefunc, PyObject *,
PyThreadState *, PyFrameObject *);
static int maybe_call_line_trace(Py_tracefunc, PyObject *,
PyThreadState *, PyFrameObject *,
int *, int *, int *);
static void maybe_dtrace_line(PyFrameObject *, int *, int *, int *);
static void dtrace_function_entry(PyFrameObject *);
static void dtrace_function_return(PyFrameObject *);
static PyObject * cmp_outcome(int, PyObject *, PyObject *);
static PyObject * import_name(PyFrameObject *, PyObject *, PyObject *,
PyObject *);
static PyObject * import_from(PyObject *, PyObject *);
static int import_all_from(PyObject *, PyObject *);
static void format_exc_check_arg(PyObject *, const char *, PyObject *);
static void format_exc_unbound(PyCodeObject *co, int oparg);
static PyObject * unicode_concatenate(PyObject *, PyObject *,
PyFrameObject *, const _Py_CODEUNIT *);
static PyObject * special_lookup(PyObject *, _Py_Identifier *);
static int check_args_iterable(PyObject *func, PyObject *vararg);
static void format_kwargs_mapping_error(PyObject *func, PyObject *kwargs);
static void format_awaitable_error(PyTypeObject *, int);
#define NAME_ERROR_MSG \
"name '%.200s' is not defined"
#define UNBOUNDLOCAL_ERROR_MSG \
"local variable '%.200s' referenced before assignment"
#define UNBOUNDFREE_ERROR_MSG \
"free variable '%.200s' referenced before assignment" \
" in enclosing scope"
/* Dynamic execution profile */
#ifdef DYNAMIC_EXECUTION_PROFILE
#ifdef DXPAIRS
static long dxpairs[257][256];
#define dxp dxpairs[256]
#else
static long dxp[256];
#endif
#endif
#define GIL_REQUEST _Py_atomic_load_relaxed(&_PyRuntime.ceval.gil_drop_request)
/* This can set eval_breaker to 0 even though gil_drop_request became
1. We believe this is all right because the eval loop will release
the GIL eventually anyway. */
#define COMPUTE_EVAL_BREAKER() \
_Py_atomic_store_relaxed( \
&_PyRuntime.ceval.eval_breaker, \
GIL_REQUEST | \
_Py_atomic_load_relaxed(&_PyRuntime.ceval.pending.calls_to_do) | \
_PyRuntime.ceval.pending.async_exc)
#define SET_GIL_DROP_REQUEST() \
do { \
_Py_atomic_store_relaxed(&_PyRuntime.ceval.gil_drop_request, 1); \
_Py_atomic_store_relaxed(&_PyRuntime.ceval.eval_breaker, 1); \
} while (0)
#define RESET_GIL_DROP_REQUEST() \
do { \
_Py_atomic_store_relaxed(&_PyRuntime.ceval.gil_drop_request, 0); \
COMPUTE_EVAL_BREAKER(); \
} while (0)
/* Pending calls are only modified under pending_lock */
#define SIGNAL_PENDING_CALLS() \
do { \
_Py_atomic_store_relaxed(&_PyRuntime.ceval.pending.calls_to_do, 1); \
_Py_atomic_store_relaxed(&_PyRuntime.ceval.eval_breaker, 1); \
} while (0)
#define UNSIGNAL_PENDING_CALLS() \
do { \
_Py_atomic_store_relaxed(&_PyRuntime.ceval.pending.calls_to_do, 0); \
COMPUTE_EVAL_BREAKER(); \
} while (0)
#define SIGNAL_ASYNC_EXC() \
do { \
_PyRuntime.ceval.pending.async_exc = 1; \
_Py_atomic_store_relaxed(&_PyRuntime.ceval.eval_breaker, 1); \
} while (0)
#define UNSIGNAL_ASYNC_EXC() \
do { \
_PyRuntime.ceval.pending.async_exc = 0; \
COMPUTE_EVAL_BREAKER(); \
} while (0)
#ifdef HAVE_ERRNO_H
#include <errno.h>
#endif
#include "pythread.h"
#include "ceval_gil.h"
int
PyEval_ThreadsInitialized(void)
{
return gil_created();
}
void
PyEval_InitThreads(void)
{
if (gil_created())
return;
create_gil();
take_gil(PyThreadState_GET());
_PyRuntime.ceval.pending.main_thread = PyThread_get_thread_ident();
if (!_PyRuntime.ceval.pending.lock)
_PyRuntime.ceval.pending.lock = PyThread_allocate_lock();
}
void
_PyEval_FiniThreads(void)
{
if (!gil_created())
return;
destroy_gil();
assert(!gil_created());
}
void
PyEval_AcquireLock(void)
{
PyThreadState *tstate = PyThreadState_GET();
if (tstate == NULL)
Py_FatalError("PyEval_AcquireLock: current thread state is NULL");
take_gil(tstate);
}
void
PyEval_ReleaseLock(void)
{
/* This function must succeed when the current thread state is NULL.
We therefore avoid PyThreadState_GET() which dumps a fatal error
in debug mode.
*/
drop_gil((PyThreadState*)_Py_atomic_load_relaxed(
&_PyThreadState_Current));
}
void
PyEval_AcquireThread(PyThreadState *tstate)
{
if (tstate == NULL)
Py_FatalError("PyEval_AcquireThread: NULL new thread state");
/* Check someone has called PyEval_InitThreads() to create the lock */
assert(gil_created());
take_gil(tstate);
if (PyThreadState_Swap(tstate) != NULL)
Py_FatalError(
"PyEval_AcquireThread: non-NULL old thread state");
}
void
PyEval_ReleaseThread(PyThreadState *tstate)
{
if (tstate == NULL)
Py_FatalError("PyEval_ReleaseThread: NULL thread state");
if (PyThreadState_Swap(NULL) != tstate)
Py_FatalError("PyEval_ReleaseThread: wrong thread state");
drop_gil(tstate);
}
/* This function is called from PyOS_AfterFork_Child to destroy all threads
* which are not running in the child process, and clear internal locks
* which might be held by those threads.
*/
void
PyEval_ReInitThreads(void)
{
PyThreadState *current_tstate = PyThreadState_GET();
if (!gil_created())
return;
recreate_gil();
_PyRuntime.ceval.pending.lock = PyThread_allocate_lock();
take_gil(current_tstate);
_PyRuntime.ceval.pending.main_thread = PyThread_get_thread_ident();
/* Destroy all threads except the current one */
_PyThreadState_DeleteExcept(current_tstate);
}
/* This function is used to signal that async exceptions are waiting to be
raised, therefore it is also useful in non-threaded builds. */
void
_PyEval_SignalAsyncExc(void)
{
SIGNAL_ASYNC_EXC();
}
/* Functions save_thread and restore_thread are always defined so
dynamically loaded modules needn't be compiled separately for use
with and without threads: */
PyThreadState *
PyEval_SaveThread(void)
{
PyThreadState *tstate = PyThreadState_Swap(NULL);
if (tstate == NULL)
Py_FatalError("PyEval_SaveThread: NULL tstate");
assert(gil_created());
drop_gil(tstate);
return tstate;
}
void
PyEval_RestoreThread(PyThreadState *tstate)
{
if (tstate == NULL)
Py_FatalError("PyEval_RestoreThread: NULL tstate");
assert(gil_created());
int err = errno;
take_gil(tstate);
/* _Py_Finalizing is protected by the GIL */
if (_Py_IsFinalizing() && !_Py_CURRENTLY_FINALIZING(tstate)) {
drop_gil(tstate);
PyThread_exit_thread();
Py_UNREACHABLE();
}
errno = err;
PyThreadState_Swap(tstate);
}
/* Mechanism whereby asynchronously executing callbacks (e.g. UNIX
signal handlers or Mac I/O completion routines) can schedule calls
to a function to be called synchronously.
The synchronous function is called with one void* argument.
It should return 0 for success or -1 for failure -- failure should
be accompanied by an exception.
If registry succeeds, the registry function returns 0; if it fails
(e.g. due to too many pending calls) it returns -1 (without setting
an exception condition).
Note that because registry may occur from within signal handlers,
or other asynchronous events, calling malloc() is unsafe!
Any thread can schedule pending calls, but only the main thread
will execute them.
There is no facility to schedule calls to a particular thread, but
that should be easy to change, should that ever be required. In
that case, the static variables here should go into the python
threadstate.
*/
void
_PyEval_SignalReceived(void)
{
/* bpo-30703: Function called when the C signal handler of Python gets a
signal. We cannot queue a callback using Py_AddPendingCall() since
that function is not async-signal-safe. */
SIGNAL_PENDING_CALLS();
}
/* This implementation is thread-safe. It allows
scheduling to be made from any thread, and even from an executing
callback.
*/
int
Py_AddPendingCall(int (*func)(void *), void *arg)
{
int i, j, result=0;
PyThread_type_lock lock = _PyRuntime.ceval.pending.lock;
/* try a few times for the lock. Since this mechanism is used
* for signal handling (on the main thread), there is a (slim)
* chance that a signal is delivered on the same thread while we
* hold the lock during the Py_MakePendingCalls() function.
* This avoids a deadlock in that case.
* Note that signals can be delivered on any thread. In particular,
* on Windows, a SIGINT is delivered on a system-created worker
* thread.
* We also check for lock being NULL, in the unlikely case that
* this function is called before any bytecode evaluation takes place.
*/
if (lock != NULL) {
for (i = 0; i<100; i++) {
if (PyThread_acquire_lock(lock, NOWAIT_LOCK))
break;
}
if (i == 100)
return -1;
}
i = _PyRuntime.ceval.pending.last;
j = (i + 1) % NPENDINGCALLS;
if (j == _PyRuntime.ceval.pending.first) {
result = -1; /* Queue full */
} else {
_PyRuntime.ceval.pending.calls[i].func = func;
_PyRuntime.ceval.pending.calls[i].arg = arg;
_PyRuntime.ceval.pending.last = j;
}
/* signal main loop */
SIGNAL_PENDING_CALLS();
if (lock != NULL)
PyThread_release_lock(lock);
return result;
}
int
Py_MakePendingCalls(void)
{
static int busy = 0;
int i;
int r = 0;
assert(PyGILState_Check());
if (!_PyRuntime.ceval.pending.lock) {
/* initial allocation of the lock */
_PyRuntime.ceval.pending.lock = PyThread_allocate_lock();
if (_PyRuntime.ceval.pending.lock == NULL)
return -1;
}
/* only service pending calls on main thread */
if (_PyRuntime.ceval.pending.main_thread &&
PyThread_get_thread_ident() != _PyRuntime.ceval.pending.main_thread)
{
return 0;
}
/* don't perform recursive pending calls */
if (busy)
return 0;
busy = 1;
/* unsignal before starting to call callbacks, so that any callback
added in-between re-signals */
UNSIGNAL_PENDING_CALLS();
/* Python signal handler doesn't really queue a callback: it only signals
that a signal was received, see _PyEval_SignalReceived(). */
if (PyErr_CheckSignals() < 0) {
goto error;
}
/* perform a bounded number of calls, in case of recursion */
for (i=0; i<NPENDINGCALLS; i++) {
int j;
int (*func)(void *);
void *arg = NULL;
/* pop one item off the queue while holding the lock */
PyThread_acquire_lock(_PyRuntime.ceval.pending.lock, WAIT_LOCK);
j = _PyRuntime.ceval.pending.first;
if (j == _PyRuntime.ceval.pending.last) {
func = NULL; /* Queue empty */
} else {
func = _PyRuntime.ceval.pending.calls[j].func;
arg = _PyRuntime.ceval.pending.calls[j].arg;
_PyRuntime.ceval.pending.first = (j + 1) % NPENDINGCALLS;
}
PyThread_release_lock(_PyRuntime.ceval.pending.lock);
/* having released the lock, perform the callback */
if (func == NULL)
break;
r = func(arg);
if (r) {
goto error;
}
}
busy = 0;
return r;
error:
busy = 0;
SIGNAL_PENDING_CALLS(); /* We're not done yet */
return -1;
}
/* The interpreter's recursion limit */
#ifndef Py_DEFAULT_RECURSION_LIMIT
#define Py_DEFAULT_RECURSION_LIMIT 1000
#endif
int _Py_CheckRecursionLimit = Py_DEFAULT_RECURSION_LIMIT;
void
_PyEval_Initialize(struct _ceval_runtime_state *state)
{
state->recursion_limit = Py_DEFAULT_RECURSION_LIMIT;
_Py_CheckRecursionLimit = Py_DEFAULT_RECURSION_LIMIT;
_gil_initialize(&state->gil);
}
int
Py_GetRecursionLimit(void)
{
return _PyRuntime.ceval.recursion_limit;
}
void
Py_SetRecursionLimit(int new_limit)
{
_PyRuntime.ceval.recursion_limit = new_limit;
_Py_CheckRecursionLimit = _PyRuntime.ceval.recursion_limit;
}
/* the macro Py_EnterRecursiveCall() only calls _Py_CheckRecursiveCall()
if the recursion_depth reaches _Py_CheckRecursionLimit.
If USE_STACKCHECK, the macro decrements _Py_CheckRecursionLimit
to guarantee that _Py_CheckRecursiveCall() is regularly called.
Without USE_STACKCHECK, there is no need for this. */
int
_Py_CheckRecursiveCall(const char *where)
{
PyThreadState *tstate = PyThreadState_GET();
int recursion_limit = _PyRuntime.ceval.recursion_limit;
#ifdef USE_STACKCHECK
tstate->stackcheck_counter = 0;
if (PyOS_CheckStack()) {
--tstate->recursion_depth;
PyErr_SetString(PyExc_MemoryError, "Stack overflow");
return -1;
}
/* Needed for ABI backwards-compatibility (see bpo-31857) */
_Py_CheckRecursionLimit = recursion_limit;
#endif
if (tstate->recursion_critical)
/* Somebody asked that we don't check for recursion. */
return 0;
if (tstate->overflowed) {
if (tstate->recursion_depth > recursion_limit + 50) {
/* Overflowing while handling an overflow. Give up. */
Py_FatalError("Cannot recover from stack overflow.");
}
return 0;
}
if (tstate->recursion_depth > recursion_limit) {
--tstate->recursion_depth;
tstate->overflowed = 1;
PyErr_Format(PyExc_RecursionError,
"maximum recursion depth exceeded%s",
where);
return -1;
}
return 0;
}
static int do_raise(PyObject *, PyObject *);
static int unpack_iterable(PyObject *, int, int, PyObject **);
#define _Py_TracingPossible _PyRuntime.ceval.tracing_possible
PyObject *
PyEval_EvalCode(PyObject *co, PyObject *globals, PyObject *locals)
{
return PyEval_EvalCodeEx(co,
globals, locals,
(PyObject **)NULL, 0,
(PyObject **)NULL, 0,
(PyObject **)NULL, 0,
NULL, NULL);
}
/* Interpreter main loop */
PyObject *
PyEval_EvalFrame(PyFrameObject *f) {
/* This is for backward compatibility with extension modules that
used this API; core interpreter code should call
PyEval_EvalFrameEx() */
return PyEval_EvalFrameEx(f, 0);
}
PyObject *
PyEval_EvalFrameEx(PyFrameObject *f, int throwflag)
{
PyThreadState *tstate = PyThreadState_GET();
return tstate->interp->eval_frame(f, throwflag);
}
PyObject* _Py_HOT_FUNCTION
_PyEval_EvalFrameDefault(PyFrameObject *f, int throwflag)
{
#ifdef DXPAIRS
int lastopcode = 0;
#endif
PyObject **stack_pointer; /* Next free slot in value stack */
const _Py_CODEUNIT *next_instr;
int opcode; /* Current opcode */
int oparg; /* Current opcode argument, if any */
PyObject **fastlocals, **freevars;
PyObject *retval = NULL; /* Return value */
PyThreadState *tstate = PyThreadState_GET();
PyCodeObject *co;
/* when tracing we set things up so that
not (instr_lb <= current_bytecode_offset < instr_ub)
is true when the line being executed has changed. The
initial values are such as to make this false the first
time it is tested. */
int instr_ub = -1, instr_lb = 0, instr_prev = -1;
const _Py_CODEUNIT *first_instr;
PyObject *names;
PyObject *consts;
#ifdef LLTRACE
_Py_IDENTIFIER(__ltrace__);
#endif
/* Computed GOTOs, or
the-optimization-commonly-but-improperly-known-as-"threaded code"
using gcc's labels-as-values extension
(http://gcc.gnu.org/onlinedocs/gcc/Labels-as-Values.html).
The traditional bytecode evaluation loop uses a "switch" statement, which
decent compilers will optimize as a single indirect branch instruction
combined with a lookup table of jump addresses. However, since the
indirect jump instruction is shared by all opcodes, the CPU will have a
hard time making the right prediction for where to jump next (actually,
it will be always wrong except in the uncommon case of a sequence of
several identical opcodes).
"Threaded code" in contrast, uses an explicit jump table and an explicit
indirect jump instruction at the end of each opcode. Since the jump
instruction is at a different address for each opcode, the CPU will make a
separate prediction for each of these instructions, which is equivalent to
predicting the second opcode of each opcode pair. These predictions have
a much better chance to turn out valid, especially in small bytecode loops.
A mispredicted branch on a modern CPU flushes the whole pipeline and
can cost several CPU cycles (depending on the pipeline depth),
and potentially many more instructions (depending on the pipeline width).
A correctly predicted branch, however, is nearly free.
At the time of this writing, the "threaded code" version is up to 15-20%
faster than the normal "switch" version, depending on the compiler and the
CPU architecture.
We disable the optimization if DYNAMIC_EXECUTION_PROFILE is defined,
because it would render the measurements invalid.
NOTE: care must be taken that the compiler doesn't try to "optimize" the
indirect jumps by sharing them between all opcodes. Such optimizations
can be disabled on gcc by using the -fno-gcse flag (or possibly
-fno-crossjumping).
*/
#ifdef DYNAMIC_EXECUTION_PROFILE
#undef USE_COMPUTED_GOTOS
#define USE_COMPUTED_GOTOS 0
#endif
#ifdef HAVE_COMPUTED_GOTOS
#ifndef USE_COMPUTED_GOTOS
#define USE_COMPUTED_GOTOS 1
#endif
#else
#if defined(USE_COMPUTED_GOTOS) && USE_COMPUTED_GOTOS
#error "Computed gotos are not supported on this compiler."
#endif
#undef USE_COMPUTED_GOTOS
#define USE_COMPUTED_GOTOS 0
#endif
#if USE_COMPUTED_GOTOS
/* Import the static jump table */
#include "opcode_targets.h"
#define TARGET(op) \
TARGET_##op: \
case op:
#define DISPATCH() \
{ \
if (!_Py_atomic_load_relaxed(&_PyRuntime.ceval.eval_breaker)) { \
FAST_DISPATCH(); \
} \
continue; \
}
#ifdef LLTRACE
#define FAST_DISPATCH() \
{ \
if (!lltrace && !_Py_TracingPossible && !PyDTrace_LINE_ENABLED()) { \
f->f_lasti = INSTR_OFFSET(); \
NEXTOPARG(); \
goto *opcode_targets[opcode]; \
} \
goto fast_next_opcode; \
}
#else
#define FAST_DISPATCH() \
{ \
if (!_Py_TracingPossible && !PyDTrace_LINE_ENABLED()) { \
f->f_lasti = INSTR_OFFSET(); \
NEXTOPARG(); \
goto *opcode_targets[opcode]; \
} \
goto fast_next_opcode; \
}
#endif
#else
#define TARGET(op) \
case op:
#define DISPATCH() continue
#define FAST_DISPATCH() goto fast_next_opcode
#endif
/* Tuple access macros */
#ifndef Py_DEBUG
#define GETITEM(v, i) PyTuple_GET_ITEM((PyTupleObject *)(v), (i))
#else
#define GETITEM(v, i) PyTuple_GetItem((v), (i))
#endif
/* Code access macros */
/* The integer overflow is checked by an assertion below. */
#define INSTR_OFFSET() \
(sizeof(_Py_CODEUNIT) * (int)(next_instr - first_instr))
#define NEXTOPARG() do { \
_Py_CODEUNIT word = *next_instr; \
opcode = _Py_OPCODE(word); \
oparg = _Py_OPARG(word); \
next_instr++; \
} while (0)
#define JUMPTO(x) (next_instr = first_instr + (x) / sizeof(_Py_CODEUNIT))
#define JUMPBY(x) (next_instr += (x) / sizeof(_Py_CODEUNIT))
/* OpCode prediction macros
Some opcodes tend to come in pairs thus making it possible to
predict the second code when the first is run. For example,
COMPARE_OP is often followed by POP_JUMP_IF_FALSE or POP_JUMP_IF_TRUE.
Verifying the prediction costs a single high-speed test of a register
variable against a constant. If the pairing was good, then the
processor's own internal branch predication has a high likelihood of
success, resulting in a nearly zero-overhead transition to the
next opcode. A successful prediction saves a trip through the eval-loop
including its unpredictable switch-case branch. Combined with the
processor's internal branch prediction, a successful PREDICT has the
effect of making the two opcodes run as if they were a single new opcode
with the bodies combined.
If collecting opcode statistics, your choices are to either keep the
predictions turned-on and interpret the results as if some opcodes
had been combined or turn-off predictions so that the opcode frequency
counter updates for both opcodes.
Opcode prediction is disabled with threaded code, since the latter allows
the CPU to record separate branch prediction information for each
opcode.
*/
#if defined(DYNAMIC_EXECUTION_PROFILE) || USE_COMPUTED_GOTOS
#define PREDICT(op) if (0) goto PRED_##op
#else
#define PREDICT(op) \
do{ \
_Py_CODEUNIT word = *next_instr; \
opcode = _Py_OPCODE(word); \
if (opcode == op){ \
oparg = _Py_OPARG(word); \
next_instr++; \
goto PRED_##op; \
} \
} while(0)
#endif
#define PREDICTED(op) PRED_##op:
/* Stack manipulation macros */
/* The stack can grow at most MAXINT deep, as co_nlocals and
co_stacksize are ints. */
#define STACK_LEVEL() ((int)(stack_pointer - f->f_valuestack))
#define EMPTY() (STACK_LEVEL() == 0)
#define TOP() (stack_pointer[-1])
#define SECOND() (stack_pointer[-2])
#define THIRD() (stack_pointer[-3])
#define FOURTH() (stack_pointer[-4])
#define PEEK(n) (stack_pointer[-(n)])
#define SET_TOP(v) (stack_pointer[-1] = (v))
#define SET_SECOND(v) (stack_pointer[-2] = (v))
#define SET_THIRD(v) (stack_pointer[-3] = (v))
#define SET_FOURTH(v) (stack_pointer[-4] = (v))
#define SET_VALUE(n, v) (stack_pointer[-(n)] = (v))
#define BASIC_STACKADJ(n) (stack_pointer += n)
#define BASIC_PUSH(v) (*stack_pointer++ = (v))
#define BASIC_POP() (*--stack_pointer)
#ifdef LLTRACE
#define PUSH(v) { (void)(BASIC_PUSH(v), \
lltrace && prtrace(TOP(), "push")); \
assert(STACK_LEVEL() <= co->co_stacksize); }
#define POP() ((void)(lltrace && prtrace(TOP(), "pop")), \
BASIC_POP())
#define STACKADJ(n) { (void)(BASIC_STACKADJ(n), \
lltrace && prtrace(TOP(), "stackadj")); \
assert(STACK_LEVEL() <= co->co_stacksize); }
#define EXT_POP(STACK_POINTER) ((void)(lltrace && \
prtrace((STACK_POINTER)[-1], "ext_pop")), \
*--(STACK_POINTER))
#else
#define PUSH(v) BASIC_PUSH(v)
#define POP() BASIC_POP()
#define STACKADJ(n) BASIC_STACKADJ(n)
#define EXT_POP(STACK_POINTER) (*--(STACK_POINTER))
#endif
/* Local variable macros */
#define GETLOCAL(i) (fastlocals[i])
/* The SETLOCAL() macro must not DECREF the local variable in-place and
then store the new value; it must copy the old value to a temporary
value, then store the new value, and then DECREF the temporary value.
This is because it is possible that during the DECREF the frame is
accessed by other code (e.g. a __del__ method or gc.collect()) and the
variable would be pointing to already-freed memory. */
#define SETLOCAL(i, value) do { PyObject *tmp = GETLOCAL(i); \
GETLOCAL(i) = value; \
Py_XDECREF(tmp); } while (0)
#define UNWIND_BLOCK(b) \
while (STACK_LEVEL() > (b)->b_level) { \
PyObject *v = POP(); \
Py_XDECREF(v); \
}
#define UNWIND_EXCEPT_HANDLER(b) \
do { \
PyObject *type, *value, *traceback; \
_PyErr_StackItem *exc_info; \
assert(STACK_LEVEL() >= (b)->b_level + 3); \
while (STACK_LEVEL() > (b)->b_level + 3) { \
value = POP(); \
Py_XDECREF(value); \
} \
exc_info = tstate->exc_info; \
type = exc_info->exc_type; \
value = exc_info->exc_value; \
traceback = exc_info->exc_traceback; \
exc_info->exc_type = POP(); \
exc_info->exc_value = POP(); \
exc_info->exc_traceback = POP(); \
Py_XDECREF(type); \
Py_XDECREF(value); \
Py_XDECREF(traceback); \
} while(0)
/* Start of code */
/* push frame */
if (Py_EnterRecursiveCall(""))
return NULL;
tstate->frame = f;
if (tstate->use_tracing) {
if (tstate->c_tracefunc != NULL) {
/* tstate->c_tracefunc, if defined, is a
function that will be called on *every* entry
to a code block. Its return value, if not
None, is a function that will be called at
the start of each executed line of code.
(Actually, the function must return itself
in order to continue tracing.) The trace
functions are called with three arguments:
a pointer to the current frame, a string
indicating why the function is called, and
an argument which depends on the situation.
The global trace function is also called
whenever an exception is detected. */
if (call_trace_protected(tstate->c_tracefunc,
tstate->c_traceobj,
tstate, f, PyTrace_CALL, Py_None)) {
/* Trace function raised an error */
goto exit_eval_frame;
}
}
if (tstate->c_profilefunc != NULL) {
/* Similar for c_profilefunc, except it needn't
return itself and isn't called for "line" events */
if (call_trace_protected(tstate->c_profilefunc,
tstate->c_profileobj,
tstate, f, PyTrace_CALL, Py_None)) {
/* Profile function raised an error */
goto exit_eval_frame;
}
}
}
if (PyDTrace_FUNCTION_ENTRY_ENABLED())
dtrace_function_entry(f);
co = f->f_code;
names = co->co_names;
consts = co->co_consts;
fastlocals = f->f_localsplus;
freevars = f->f_localsplus + co->co_nlocals;
assert(PyBytes_Check(co->co_code));
assert(PyBytes_GET_SIZE(co->co_code) <= INT_MAX);
assert(PyBytes_GET_SIZE(co->co_code) % sizeof(_Py_CODEUNIT) == 0);
assert(_Py_IS_ALIGNED(PyBytes_AS_STRING(co->co_code), sizeof(_Py_CODEUNIT)));
first_instr = (_Py_CODEUNIT *) PyBytes_AS_STRING(co->co_code);
/*
f->f_lasti refers to the index of the last instruction,
unless it's -1 in which case next_instr should be first_instr.
YIELD_FROM sets f_lasti to itself, in order to repeatedly yield
multiple values.
When the PREDICT() macros are enabled, some opcode pairs follow in
direct succession without updating f->f_lasti. A successful
prediction effectively links the two codes together as if they
were a single new opcode; accordingly,f->f_lasti will point to
the first code in the pair (for instance, GET_ITER followed by
FOR_ITER is effectively a single opcode and f->f_lasti will point
to the beginning of the combined pair.)
*/
assert(f->f_lasti >= -1);
next_instr = first_instr;
if (f->f_lasti >= 0) {
assert(f->f_lasti % sizeof(_Py_CODEUNIT) == 0);
next_instr += f->f_lasti / sizeof(_Py_CODEUNIT) + 1;
}
stack_pointer = f->f_stacktop;
assert(stack_pointer != NULL);
f->f_stacktop = NULL; /* remains NULL unless yield suspends frame */
f->f_executing = 1;
#ifdef LLTRACE
lltrace = _PyDict_GetItemId(f->f_globals, &PyId___ltrace__) != NULL;
#endif
if (throwflag) /* support for generator.throw() */
goto error;
#ifdef Py_DEBUG
/* PyEval_EvalFrameEx() must not be called with an exception set,
because it can clear it (directly or indirectly) and so the
caller loses its exception */
assert(!PyErr_Occurred());
#endif
main_loop:
for (;;) {
assert(stack_pointer >= f->f_valuestack); /* else underflow */
assert(STACK_LEVEL() <= co->co_stacksize); /* else overflow */
assert(!PyErr_Occurred());
/* Do periodic things. Doing this every time through
the loop would add too much overhead, so we do it
only every Nth instruction. We also do it if
``pendingcalls_to_do'' is set, i.e. when an asynchronous
event needs attention (e.g. a signal handler or
async I/O handler); see Py_AddPendingCall() and
Py_MakePendingCalls() above. */
if (_Py_atomic_load_relaxed(&_PyRuntime.ceval.eval_breaker)) {
opcode = _Py_OPCODE(*next_instr);
if (opcode == SETUP_FINALLY ||
opcode == SETUP_WITH ||
opcode == BEFORE_ASYNC_WITH ||
opcode == YIELD_FROM) {
/* Few cases where we skip running signal handlers and other
pending calls:
- If we're about to enter the 'with:'. It will prevent
emitting a resource warning in the common idiom
'with open(path) as file:'.
- If we're about to enter the 'async with:'.
- If we're about to enter the 'try:' of a try/finally (not
*very* useful, but might help in some cases and it's
traditional)
- If we're resuming a chain of nested 'yield from' or
'await' calls, then each frame is parked with YIELD_FROM
as its next opcode. If the user hit control-C we want to
wait until we've reached the innermost frame before
running the signal handler and raising KeyboardInterrupt
(see bpo-30039).
*/
goto fast_next_opcode;
}
if (_Py_atomic_load_relaxed(
&_PyRuntime.ceval.pending.calls_to_do))
{
if (Py_MakePendingCalls() < 0)
goto error;
}
if (_Py_atomic_load_relaxed(
&_PyRuntime.ceval.gil_drop_request))
{
/* Give another thread a chance */
if (PyThreadState_Swap(NULL) != tstate)
Py_FatalError("ceval: tstate mix-up");
drop_gil(tstate);
/* Other threads may run now */
take_gil(tstate);
/* Check if we should make a quick exit. */
if (_Py_IsFinalizing() &&
!_Py_CURRENTLY_FINALIZING(tstate))
{
drop_gil(tstate);
PyThread_exit_thread();
}
if (PyThreadState_Swap(tstate) != NULL)
Py_FatalError("ceval: orphan tstate");
}
/* Check for asynchronous exceptions. */
if (tstate->async_exc != NULL) {
PyObject *exc = tstate->async_exc;
tstate->async_exc = NULL;
UNSIGNAL_ASYNC_EXC();
PyErr_SetNone(exc);
Py_DECREF(exc);
goto error;
}
}
fast_next_opcode:
f->f_lasti = INSTR_OFFSET();
if (PyDTrace_LINE_ENABLED())
maybe_dtrace_line(f, &instr_lb, &instr_ub, &instr_prev);
/* line-by-line tracing support */