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From NumbaPro
from collections import namedtuple, OrderedDict
import dis
import inspect
import itertools
from types import CodeType, ModuleType
from numba.core import errors, utils, serialize
opcode_info = namedtuple('opcode_info', ['argsize'])
# The following offset is used as a hack to inject a NOP at the start of the
# bytecode. So that function starting with `while True` will not have block-0
# as a jump target. The Lowerer puts argument initialization at block-0.
def get_function_object(obj):
Objects that wraps function should provide a "__numba__" magic attribute
that contains a name of an attribute that contains the actual python
function object.
attr = getattr(obj, "__numba__", None)
if attr:
return getattr(obj, attr)
return obj
def get_code_object(obj):
"Shamelessly borrowed from llpython"
return getattr(obj, '__code__', getattr(obj, 'func_code', None))
def _as_opcodes(seq):
lst = []
for s in seq:
c = dis.opmap.get(s)
if c is not None:
return lst
JREL_OPS = frozenset(dis.hasjrel)
JABS_OPS = frozenset(dis.hasjabs)
TERM_OPS = frozenset(_as_opcodes(['RETURN_VALUE', 'RAISE_VARARGS']))
class ByteCodeInst(object):
- offset:
byte offset of opcode
- opcode:
opcode integer value
- arg:
instruction arg
- lineno:
-1 means unknown
__slots__ = 'offset', 'next', 'opcode', 'opname', 'arg', 'lineno'
def __init__(self, offset, opcode, arg, nextoffset):
self.offset = offset = nextoffset
self.opcode = opcode
self.opname = dis.opname[opcode]
self.arg = arg
self.lineno = -1 # unknown line number
def is_jump(self):
return self.opcode in JUMP_OPS
def is_terminator(self):
return self.opcode in TERM_OPS
def get_jump_target(self):
assert self.is_jump
if self.opcode in JREL_OPS:
return + self.arg
assert self.opcode in JABS_OPS
return self.arg
def __repr__(self):
return '%s(arg=%s, lineno=%d)' % (self.opname, self.arg, self.lineno)
def block_effect(self):
"""Effect of the block stack
Returns +1 (push), 0 (none) or -1 (pop)
if self.opname.startswith('SETUP_'):
return 1
elif self.opname == 'POP_BLOCK':
return -1
return 0
OPCODE_NOP = dis.opname.index('NOP')
# Adapted from Lib/
def _unpack_opargs(code):
Returns a 4-int-tuple of
(bytecode offset, opcode, argument, offset of next bytecode).
extended_arg = 0
n = len(code)
offset = i = 0
while i < n:
op = code[i]
arg = code[i] | extended_arg
for j in range(ARG_LEN):
arg |= code[i + j] << (8 * j)
i += ARG_LEN
if op == EXTENDED_ARG:
extended_arg = arg << 8 * ARG_LEN
arg = None
extended_arg = 0
yield (offset, op, arg, i)
offset = i # Mark inst offset at first extended
def _patched_opargs(bc_stream):
"""Patch the bytecode stream.
- Adds a NOP bytecode at the start to avoid jump target being at the entry.
# Injected NOP
yield (0, OPCODE_NOP, None, _FIXED_OFFSET)
# Adjust bytecode offset for the rest of the stream
for offset, opcode, arg, nextoffset in bc_stream:
# If the opcode has an absolute jump target, adjust it.
if opcode in JABS_OPS:
yield offset + _FIXED_OFFSET, opcode, arg, nextoffset + _FIXED_OFFSET
class ByteCodeIter(object):
def __init__(self, code):
self.code = code
self.iter = iter(_patched_opargs(_unpack_opargs(self.code.co_code)))
def __iter__(self):
return self
def _fetch_opcode(self):
return next(self.iter)
def next(self):
offset, opcode, arg, nextoffset = self._fetch_opcode()
return offset, ByteCodeInst(offset=offset, opcode=opcode, arg=arg,
__next__ = next
def read_arg(self, size):
buf = 0
for i in range(size):
_offset, byte = next(self.iter)
buf |= byte << (8 * i)
return buf
class ByteCode(object):
The decoded bytecode of a function, and related information.
__slots__ = ('func_id', 'co_names', 'co_varnames', 'co_consts',
'co_cellvars', 'co_freevars', 'table', 'labels')
def __init__(self, func_id):
code = func_id.code
labels = set(x + _FIXED_OFFSET for x in dis.findlabels(code.co_code))
# A map of {offset: ByteCodeInst}
table = OrderedDict(ByteCodeIter(code))
self._compute_lineno(table, code)
self.func_id = func_id
self.co_names = code.co_names
self.co_varnames = code.co_varnames
self.co_consts = code.co_consts
self.co_cellvars = code.co_cellvars
self.co_freevars = code.co_freevars
self.table = table
self.labels = sorted(labels)
def _compute_lineno(cls, table, code):
Compute the line numbers for all bytecode instructions.
for offset, lineno in dis.findlinestarts(code):
adj_offset = offset + _FIXED_OFFSET
if adj_offset in table:
table[adj_offset].lineno = lineno
# Assign unfilled lineno
# Start with first bytecode's lineno
known = table[_FIXED_OFFSET].lineno
for inst in table.values():
if inst.lineno >= 0:
known = inst.lineno
inst.lineno = known
return table
def __iter__(self):
return iter(self.table.values())
def __getitem__(self, offset):
return self.table[offset]
def __contains__(self, offset):
return offset in self.table
def dump(self):
def label_marker(i):
if i[1].offset in self.labels:
return '>'
return ' '
return '\n'.join('%s %10s\t%s' % ((label_marker(i),) + i)
for i in self.table.items())
def _compute_used_globals(cls, func, table, co_consts, co_names):
Compute the globals used by the function with the given
bytecode table.
d = {}
globs = func.__globals__
builtins = globs.get('__builtins__', utils.builtins)
if isinstance(builtins, ModuleType):
builtins = builtins.__dict__
# Look for LOAD_GLOBALs in the bytecode
for inst in table.values():
if inst.opname == 'LOAD_GLOBAL':
name = co_names[inst.arg]
if name not in d:
value = globs[name]
except KeyError:
value = builtins[name]
d[name] = value
# Add globals used by any nested code object
for co in co_consts:
if isinstance(co, CodeType):
subtable = OrderedDict(ByteCodeIter(co))
d.update(cls._compute_used_globals(func, subtable,
co.co_consts, co.co_names))
return d
def get_used_globals(self):
Get a {name: value} map of the globals used by this code
object and any nested code objects.
return self._compute_used_globals(self.func_id.func, self.table,
self.co_consts, self.co_names)
class FunctionIdentity(serialize.ReduceMixin):
A function's identity and metadata.
Note this typically represents a function whose bytecode is
being compiled, not necessarily the top-level user function
(the two might be distinct, e.g. in the `@generated_jit` case).
_unique_ids = itertools.count(1)
def from_function(cls, pyfunc):
Create the FunctionIdentity of the given function.
func = get_function_object(pyfunc)
code = get_code_object(func)
pysig = utils.pysignature(func)
if not code:
raise errors.ByteCodeSupportError(
"%s does not provide its bytecode" % func)
func_qualname = func.__qualname__
except AttributeError:
func_qualname = func.__name__
self = cls()
self.func = func
self.func_qualname = func_qualname
self.func_name = func_qualname.split('.')[-1]
self.code = code
self.module = inspect.getmodule(func)
self.modname = (utils._dynamic_modname
if self.module is None
else self.module.__name__)
self.is_generator = inspect.isgeneratorfunction(func)
self.pysig = pysig
self.filename = code.co_filename
self.firstlineno = code.co_firstlineno
self.arg_count = len(pysig.parameters)
self.arg_names = list(pysig.parameters)
# Even the same function definition can be compiled into
# several different function objects with distinct closure
# variables, so we make sure to disambiguate using an unique id.
uid = next(cls._unique_ids)
self.unique_name = '{}${}'.format(self.func_qualname, uid)
return self
def derive(self):
"""Copy the object and increment the unique counter.
return self.from_function(self.func)
def _reduce_states(self):
NOTE: part of ReduceMixin protocol
return dict(pyfunc=self.func)
def _rebuild(cls, pyfunc):
NOTE: part of ReduceMixin protocol
return cls.from_function(pyfunc)
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