Skip to content

HTTPS clone URL

Subversion checkout URL

You can clone with
or
.
Download ZIP
Fetching contributors…

Cannot retrieve contributors at this time

2617 lines (2267 sloc) 91.641 kB
#!/usr/bin/env python
# Copyright, license and disclaimer are at the end of this file.
# This is the latest, enhanced version of the asizeof.py recipes at
# <http://aspn.activestate.com/ASPN/Cookbook/Python/Recipe/546530>
# <http://aspn.activestate.com/ASPN/Cookbook/Python/Recipe/544288>
'''This module exposes 10 functions and 2 classes to obtain lengths
and sizes of Python objects (for Python 2.2 or later [1]).
The main changes in this version are new function calcsize(),
use gc.get_objects() to get all objects and improvements in
this documentation.
Public Functions [2]
Function asizeof calculates the combined (approximate) size
in bytes of one or several Python objects.
Function asizesof returns a tuple containing the (approximate)
size in bytes for each given Python object separately.
Function asized returns for each object an instance of class
Asized containing all the size information of the object and a
tuple with the referents.
Functions basicsize and itemsize return the basic respectively
item size of the given object.
Function flatsize returns the flat size of a Python object in
bytes defined as the basic size plus the item size times the
length of the given object.
Function leng returns the length of an object, like standard
len but extended for several types, e.g. the leng of a multi-
precision int (or long) is the number of digits [3]. The length
of most mutable sequence objects includes an estimate of the
over-allocation and therefore, the leng value may differ from
the standard len result.
Function refs returns (a generator for) the referents of the
given object, i.e. the objects referenced by the given object.
Function calcsize is equivalent to standard struct.calcsize
but handles format characters 'z' for signed C type Py_ssize_t
and 'Z' for unsigned C type size_t.
Certain classes are known to be sub-classes of or to behave as
dict objects. Function adict can be used to install other
class objects to be treated like dict.
Public Classes [2]
An instance of class Asized is returned for each object sized
with the asized function or method.
Class Asizer can be used to accumulate the results of several
asizeof or asizesof calls. After creating an Asizer instance,
use methods asizeof and asizesof to size additional objects.
Call methods exclude_refs and/or exclude_types to exclude
references to or instances or types of certain objects.
Use one of the print\_... methods to report the statistics.
Duplicate Objects
Any duplicate, given objects are sized only once and the size
is included in the combined total only once. But functions
asizesof and asized do return a size value respectively an
Asized instance for each given object, the same for duplicates.
Definitions [4]
The size of an object is defined as the sum of the flat size
of the object plus the sizes of any referents. Referents are
visited recursively up to a given limit. However, the size
of objects referenced multiple times is included only once.
The flat size of an object is defined as the basic size of the
object plus the item size times the number of allocated items.
The flat size does include the size for the items (references
to the referents), but not the referents themselves.
The flat size returned by function flatsize equals the result
of the asizeof function with options code=True, ignored=False,
limit=0 and option align set to the same value.
The accurate flat size for an object is obtained from function
sys.getsizeof() where available. Otherwise, the length and
size of sequence objects as dicts, lists, sets, etc. is based
on an estimate for the number of allocated items. As a result,
the reported length and size may substantially differ from the
actual length and size.
The basic and item sizes are obtained from the __basicsize__
respectively __itemsize__ attribute of the (type of the) object.
Where necessary (e.g. sequence objects), a zero __itemsize__
is replaced by the size of a corresponding C type.
The basic size (of GC managed objects) objects includes the
overhead for Python's garbage collector (GC) as well as the
space needed for refcounts (only in certain Python builds).
Optionally, sizes can be aligned to any power of 2 multiple.
Size of (byte)code
The (byte)code size of objects as classes, functions, methods,
modules, etc. can be included by setting option code.
Iterators are handled similar to sequences: iterated object(s)
are sized like referents if the recursion limit permits. Also,
function gc.get_referents() must return the referent object
of iterators.
Generators are sized as (byte)code only, but generated objects
are never sized.
Old- and New-style Classes
All old- and new-style class, instance and type objects, are
handled uniformly such that (a) instance and class objects can
be distinguished and (b) instances of different old-style
classes can be dealt with separately.
Class and type objects are represented as <class ....* def>
respectively as <type ... def> where an '*' indicates an old-
style class and the def suffix marks the definition object.
Instances of old-style classes are shown as new-style ones but
with an '*' at the end of the name, like <class module.name*>.
Ignored Objects
To avoid excessive sizes, several object types are ignored [4]
by default, e.g. built-in functions, built-in types and classes
[5], function globals and module referents. However, any
instances thereof are sized and module objects will be sized
when passed as given objects. Ignored object types are included
if option ignored is set accordingly.
In addition, many __...__ attributes of callable objects are
ignored, except crucial ones, e.g. class attributes __dict__,
__doc__, __name__ and __slots__. For more details, see the
type-specific _..._refs() and _len_...() functions below.
Option all can be used to size all Python objects and/or get
the referents from gc.get_referents() and override the type-
specific __..._refs() functions.
Notes
[1] Tested with Python 2.2.3, 2.3.7, 2.4.5, 2.5.1, 2.5.2, 2.6.2,
3.0.1 or 3.1a2 on CentOS 4.6, SuSE 9.3, MacOS X 10.4.11 Tiger
(Intel) and 10.3.9 Panther (PPC), Solaris 10 (Opteron) and
Windows XP all 32-bit Python and on RHEL 3u7 and Solaris 10
(Opteron) both 64-bit Python.
[2] The functions and classes in this module are not thread-safe.
[3] See Python source file .../Include/longinterp.h for the
C typedef of digit used in multi-precision int (or long)
objects. The size of digit in bytes can be obtained in
Python from the int (or long) __itemsize__ attribute.
Function leng (rather _len_int) below deterimines the
number of digits from the int (or long) value.
[4] These definitions and other assumptions are rather arbitrary
and may need corrections or adjustments.
[5] Types and classes are considered built-in if the module of
the type or class is listed in _builtin_modules below.
''' #PYCHOK expected
from __future__ import generators #PYCHOK for yield in Python 2.2
from inspect import isbuiltin, isclass, iscode, isframe, \
isfunction, ismethod, ismodule, stack
from math import log
from os import linesep
from struct import calcsize as _calcsize
import sys
import types as Types
import weakref as Weakref
try:
import numpy
numpyarray = numpy.ndarray
except:
numpyarray = None
__version__ = '5.12 (Apr 27, 2009)'
__all__ = ['adict', 'asized', 'asizeof', 'asizesof',
'Asized', 'Asizer', # classes
'basicsize', 'flatsize', 'itemsize', 'leng', 'refs',
'calcsize'] # handles 'z' and 'Z'
# any classes or types in modules listed in _builtin_modules are
# considered built-in and ignored by default, as built-in functions
if __name__ == '__main__':
_builtin_modules = (int.__module__, 'types', Exception.__module__) # , 'weakref'
else: # treat this very module as built-in
_builtin_modules = (int.__module__, 'types', Exception.__module__, __name__) # , 'weakref'
# sizes of some primitive C types
# XXX len(pack(T, 0)) == Struct(T).size == _calcsize(T)
# but type/class Struct only available since Python 2.5
_sizeof_Cbyte = _calcsize('c') # sizeof(unsigned char)
_sizeof_Clong = _calcsize('l') # sizeof(long)
_sizeof_Cvoidp = _calcsize('P') # sizeof(void*)
# sizeof(long) != sizeof(ssize_t) on LLP64
if _sizeof_Clong < _sizeof_Cvoidp:
_Zz = 'PP'
else:
_Zz = 'Ll'
def calcsize(fmt):
'''struct.calcsize() handling 'z' for signed Py_ssize_t and 'Z' for unsigned size_t.
'''
return _calcsize(fmt.replace('Z', _Zz[0]).replace('z', _Zz[1]))
# defaults for some basic sizes with 'z' for C Py_ssize_t
_sizeof_CPyCodeObject = calcsize('Pz10P5i0P') # sizeof(PyCodeObject)
_sizeof_CPyFrameObject = calcsize('Pzz13P63i0P') # sizeof(PyFrameObject)
_sizeof_CPyModuleObject = calcsize('PzP0P') # sizeof(PyModuleObject)
# defaults for some item sizes with 'z' for C Py_ssize_t
_sizeof_CPyDictEntry = calcsize('z2P') # sizeof(PyDictEntry)
_sizeof_Csetentry = calcsize('lP') # sizeof(setentry)
# XXX use sys.int_info.sizeof_digit in Python 3.1
try: # C typedef digit for multi-precision int (or long)
_sizeof_Cdigit = long.__itemsize__
except NameError: # no long in Python 3.0
_sizeof_Cdigit = int.__itemsize__
if _sizeof_Cdigit < 2:
raise AssertionError('sizeof(%s) bad: %d' % ('digit', _sizeof_Cdigit))
try: # sizeof(unicode_char)
u = unicode('\0')
except NameError: # no unicode() in Python 3.0
u = '\0'
u = u.encode('unicode-internal') # see .../Lib/test/test_sys.py
_sizeof_Cunicode = len(u)
del u
if (1 << (_sizeof_Cunicode << 3)) <= sys.maxunicode:
raise AssertionError('sizeof(%s) bad: %d' % ('unicode', _sizeof_Cunicode))
if hasattr(sys, 'maxsize'): # new in Python 2.6
Z = calcsize('Z') # check sizeof(size_t)
if (1 << (Z << 3)) <= sys.maxsize:
raise AssertionError('sizeof(%s) bad: %d' % ('size_t', Z))
del Z
try: # size of GC header, sizeof(PyGC_Head)
import _testcapi as t
_sizeof_CPyGC_Head = t.SIZEOF_PYGC_HEAD # new in Python 2.6
except (ImportError, AttributeError): # sizeof(PyGC_Head)
# alignment should be to sizeof(long double) but there
# is no way to obtain that value, assume twice double
t = calcsize('2d') - 1
_sizeof_CPyGC_Head = (calcsize('2Pz') + t) & ~t
del t
# size of refcounts (Python debug build only)
if hasattr(sys, 'gettotalrefcount'):
_sizeof_Crefcounts = calcsize('2z')
else:
_sizeof_Crefcounts = 0
# some flags from .../Include/object.h
_Py_TPFLAGS_HEAPTYPE = 1 << 9 # Py_TPFLAGS_HEAPTYPE
_Py_TPFLAGS_HAVE_GC = 1 << 14 # Py_TPFLAGS_HAVE_GC
_Type_type = type(type) # == type and new-style class type
# compatibility functions for more uniform
# behavior across Python version 2.2 thu 3.0
def _items(obj): # dict only
'''Return iter-/generator, preferably.
'''
return getattr(obj, 'iteritems', obj.items)()
def _keys(obj): # dict only
'''Return iter-/generator, preferably.
'''
return getattr(obj, 'iterkeys', obj.keys)()
def _values(obj): # dict only
'''Use iter-/generator, preferably.
'''
return getattr(obj, 'itervalues', obj.values)()
try: # callable() builtin
_callable = callable
except NameError: # callable() removed in Python 3.0
def _callable(obj):
'''Substitute for callable().'''
return hasattr(obj, '__call__')
try: # get 'all' current objects
from gc import get_objects as _getobjects
except ImportError:
def _getobjects():
# modules first, globals and stack
# (may contain duplicate objects)
return tuple(_values(sys.modules)) + (
globals(), stack(sys.getrecursionlimit()))
try: # get 'all' referents of objects
# note that gc.get_referents()
# returns () for dict...-iterators
from gc import get_referents as _getreferents
except ImportError: # no get_referents() in Python 2.2
def _getreferents(unused):
return () # sorry, no refs
# sys.getsizeof() new in Python 2.6
_getsizeof = getattr(sys, 'getsizeof', None)
try: # str intern()
_intern = intern
except NameError: # no intern() in Python 3.0
def _intern(val):
return val
def _kwds(**kwds): # no dict(key=value, ...) in Python 2.2
'''Return name=value pairs as keywords dict.
'''
return kwds
try: # sorted() builtin
_sorted = sorted
except NameError: # no sorted() in Python 2.2
def _sorted(vals, reverse=False):
'''Partial substitute for missing sorted().'''
vals.sort() # inplace OK
if reverse:
vals.reverse()
return vals
try: # sum() builtin
_sum = sum
except NameError: # no sum() in Python 2.2
def _sum(vals):
'''Partial substitute for missing sum().'''
s = 0
for v in vals:
s += v
return s
# private functions
def _basicsize(t, base=0, heap=False, obj=None):
'''Get non-zero basicsize of type,
including the header sizes.
'''
s = max(getattr(t, '__basicsize__', 0), base)
# include gc header size
if t != _Type_type:
h = getattr(t, '__flags__', 0) & _Py_TPFLAGS_HAVE_GC
elif heap: # type, allocated on heap
h = True
else: # None has no __flags__ attr
h = getattr(obj, '__flags__', 0) & _Py_TPFLAGS_HEAPTYPE
if h:
s += _sizeof_CPyGC_Head
# include reference counters
return s + _sizeof_Crefcounts
def _derive_typedef(typ):
'''Return single, existing super type typedef or None.
'''
v = [v for v in _values(_typedefs) if _issubclass(typ, v.type)]
if len(v) == 1:
return v[0]
return None
def _dir2(obj, pref='', excl=(), slots=None, itor=''):
'''Return an attribute name, object 2-tuple for certain
attributes or for the '__slots__' attributes of the
given object, but not both. Any iterator referent
objects are returned with the given name if the
latter is non-empty.
'''
if slots: # __slots__ attrs
if hasattr(obj, slots):
# collect all inherited __slots__ attrs
# from list, tuple, or dict __slots__,
# while removing any duplicate attrs
s = {}
for c in type(obj).mro():
for a in getattr(c, slots, ()):
if hasattr(obj, a):
s.setdefault(a, getattr(obj, a))
# assume __slots__ tuple/list
# is holding the attr values
yield slots, _Slots(s) # _keys(s)
for t in _items(s):
yield t # attr name, value
elif itor: # iterator referents
for o in obj: # iter(obj)
yield itor, o
else: # regular attrs
for a in dir(obj):
if a.startswith(pref) and a not in excl and hasattr(obj, a):
yield a, getattr(obj, a)
def _infer_dict(obj):
'''Return True for likely dict object.
'''
for ats in (('__len__', 'get', 'has_key', 'items', 'keys', 'values'),
('__len__', 'get', 'has_key', 'iteritems', 'iterkeys', 'itervalues')):
for a in ats: # no all(<generator_expression>) in Python 2.2
if not _callable(getattr(obj, a, None)):
break
else: # all True
return True
return False
def _isdictclass(obj):
'''Return True for known dict objects.
'''
c = getattr(obj, '__class__', None)
return c and c.__name__ in _dict_classes.get(c.__module__, ())
def _issubclass(sub, sup):
'''Safe issubclass().
'''
if sup is not object:
try:
return issubclass(sub, sup)
except TypeError:
pass
return False
def _itemsize(t, item=0):
'''Get non-zero itemsize of type.
'''
# replace zero value with default
return getattr(t, '__itemsize__', 0) or item
def _kwdstr(**kwds):
'''Keyword arguments as a string.
'''
return ', '.join(_sorted(['%s=%r' % kv for kv in _items(kwds)])) # [] for Python 2.2
def _lengstr(obj):
'''Object length as a string.
'''
n = leng(obj)
if n is None: # no len
r = ''
elif n > _len(obj): # extended
r = ' leng %d!' % n
else:
r = ' leng %d' % n
return r
def _nameof(obj, dflt=''):
'''Return the name of an object.
'''
return getattr(obj, '__name__', dflt)
def _objs(objs, all=None, **unused):
'''Return the given or 'all' objects.
'''
if all in (False, None):
t = objs or ()
elif all is True: # 'all' objects
t = objs or _getobjects()
else:
raise ValueError('invalid option: %s=%r' % ('all', all))
return t
def _p100(part, total, prec=1):
'''Return percentage as string.
'''
r = float(total)
if r:
r = part * 100.0 / r
return '%.*f%%' % (prec, r)
return 'n/a'
def _plural(num):
'''Return 's' if plural.
'''
if num == 1:
s = ''
else:
s = 's'
return s
def _power2(n):
'''Find the next power of 2.
'''
p2 = 16
while n > p2:
p2 += p2
return p2
def _prepr(obj, clip=0):
'''Prettify and clip long repr() string.
'''
return _repr(obj, clip=clip).strip('<>').replace("'", '') # remove <''>
def _printf(fmt, *args, **print3opts):
'''Formatted print.
'''
if print3opts: # like Python 3.0
f = print3opts.get('file', None) or sys.stdout
if args:
f.write(fmt % args)
else:
f.write(fmt)
f.write(print3opts.get('end', linesep))
elif args:
print(fmt % args)
else:
print(fmt)
def _refs(obj, named, *ats, **kwds):
'''Return specific attribute objects of an object.
'''
if named:
for a in ats: # cf. inspect.getmembers()
if hasattr(obj, a):
yield _NamedRef(a, getattr(obj, a))
if kwds: # kwds are _dir2() args
for a, o in _dir2(obj, **kwds):
yield _NamedRef(a, o)
else:
for a in ats: # cf. inspect.getmembers()
if hasattr(obj, a):
yield getattr(obj, a)
if kwds: # kwds are _dir2() args
for _, o in _dir2(obj, **kwds):
yield o
def _repr(obj, clip=80):
'''Clip long repr() string.
'''
try: # safe repr()
r = repr(obj)
except TypeError:
r = 'N/A'
if 0 < clip < len(r):
h = (clip // 2) - 2
if h > 0:
r = r[:h] + '....' + r[-h:]
return r
def _SI(size, K=1024, i='i'):
'''Return size as SI string.
'''
if 1 < K < size:
f = float(size)
for si in iter('KMGPTE'):
f /= K
if f < K:
return ' or %.1f %s%sB' % (f, si, i)
return ''
def _SI2(size, **kwds):
'''Return size as regular plus SI string.
'''
return str(size) + _SI(size, **kwds)
# type-specific referent functions
def _class_refs(obj, named):
'''Return specific referents of a class object.
'''
return _refs(obj, named, '__class__', '__dict__', '__doc__', '__mro__',
'__name__', '__slots__', '__weakref__')
def _co_refs(obj, named):
'''Return specific referents of a code object.
'''
return _refs(obj, named, pref='co_')
def _dict_refs(obj, named):
'''Return key and value objects of a dict/proxy.
'''
if named:
for k, v in _items(obj):
s = str(k)
yield _NamedRef(s, k, 1) # key
yield _NamedRef(s, v, 2) # value
else:
for k, v in _items(obj):
yield k
yield v
def _enum_refs(obj, named):
'''Return specific referents of an enumerate object.
'''
return _refs(obj, named, '__doc__')
def _exc_refs(obj, named):
'''Return specific referents of an Exception object.
'''
# .message raises DeprecationWarning in Python 2.6
return _refs(obj, named, 'args', 'filename', 'lineno', 'msg', 'text') # , 'message', 'mixed'
def _file_refs(obj, named):
'''Return specific referents of a file object.
'''
return _refs(obj, named, 'mode', 'name')
def _frame_refs(obj, named):
'''Return specific referents of a frame object.
'''
return _refs(obj, named, pref='f_')
def _func_refs(obj, named):
'''Return specific referents of a function or lambda object.
'''
return _refs(obj, named, '__doc__', '__name__', '__code__',
pref='func_', excl=('func_globals',))
def _gen_refs(obj, named):
'''Return the referent(s) of a generator object.
'''
# only some gi_frame attrs
f = getattr(obj, 'gi_frame', None)
return _refs(f, named, 'f_locals', 'f_code')
def _im_refs(obj, named):
'''Return specific referents of a method object.
'''
return _refs(obj, named, '__doc__', '__name__', '__code__',
pref='im_')
def _inst_refs(obj, named):
'''Return specific referents of a class instance.
'''
return _refs(obj, named, '__dict__', '__class__',
slots='__slots__')
def _iter_refs(obj, named):
'''Return the referent(s) of an iterator object.
'''
r = _getreferents(obj) # special case
return _refs(r, named, itor=_nameof(obj) or 'iteref')
def _module_refs(obj, named):
'''Return specific referents of a module object.
'''
# ignore this very module
if obj.__name__ == __name__:
return ()
# module is essentially a dict
return _dict_refs(obj.__dict__, named)
def _prop_refs(obj, named):
'''Return specific referents of a property object.
'''
return _refs(obj, named, '__doc__', pref='f')
def _seq_refs(obj, unused): # named unused for PyChecker
'''Return specific referents of a frozen/set, list, tuple and xrange object.
'''
return obj # XXX for r in obj: yield r
def _stat_refs(obj, named):
'''Return referents of a os.stat object.
'''
return _refs(obj, named, pref='st_')
def _statvfs_refs(obj, named):
'''Return referents of a os.statvfs object.
'''
return _refs(obj, named, pref='f_')
def _tb_refs(obj, named):
'''Return specific referents of a traceback object.
'''
return _refs(obj, named, pref='tb_')
def _type_refs(obj, named):
'''Return specific referents of a type object.
'''
return _refs(obj, named, '__dict__', '__doc__', '__mro__',
'__name__', '__slots__', '__weakref__')
def _weak_refs(obj, unused): # named unused for PyChecker
'''Return weakly referent object.
'''
try: # ignore 'key' of KeyedRef
return (obj(),)
except: # XXX ReferenceError
return () #PYCHOK OK
_all_refs = (None, _class_refs, _co_refs, _dict_refs, _enum_refs,
_exc_refs, _file_refs, _frame_refs, _func_refs,
_gen_refs, _im_refs, _inst_refs, _iter_refs,
_module_refs, _prop_refs, _seq_refs, _stat_refs,
_statvfs_refs, _tb_refs, _type_refs, _weak_refs)
# type-specific length functions
def _len(obj):
'''Safe len().
'''
try:
return len(obj)
except TypeError: # no len()
return 0
def _len_array(obj):
'''Array length in bytes.
'''
return len(obj) * obj.itemsize
def _len_bytearray(obj):
'''Bytearray size.
'''
return obj.__alloc__()
def _len_code(obj): # see .../Lib/test/test_sys.py
'''Length of code object (stack and variables only).
'''
return obj.co_stacksize + obj.co_nlocals \
+ _len(obj.co_freevars) \
+ _len(obj.co_cellvars) - 1
def _len_dict(obj):
'''Dict length in items (estimate).
'''
n = len(obj) # active items
if n < 6: # ma_smalltable ...
n = 0 # ... in basicsize
else: # at least one unused
n = _power2(n + 1)
return n
def _len_frame(obj):
'''Length of a frame object.
'''
c = getattr(obj, 'f_code', None)
if c:
n = _len_code(c)
else:
n = 0
return n
_digit2p2 = 1 << (_sizeof_Cdigit << 3)
_digitmax = _digit2p2 - 1 # == (2 * PyLong_MASK + 1)
_digitlog = 1.0 / log(_digit2p2)
def _len_int(obj):
'''Length of multi-precision int (aka long) in digits.
'''
if obj:
n, i = 1, abs(obj)
if i > _digitmax:
# no log(x[, base]) in Python 2.2
n += int(log(i) * _digitlog)
else: # zero
n = 0
return n
def _len_iter(obj):
'''Length (hint) of an iterator.
'''
n = getattr(obj, '__length_hint__', None)
if n:
n = n()
else: # try len()
n = _len(obj)
return n
def _len_list(obj):
'''Length of list (estimate).
'''
n = len(obj)
# estimate over-allocation
if n > 8:
n += 6 + (n >> 3)
elif n:
n += 4
return n
def _len_module(obj):
'''Module length.
'''
return _len(obj.__dict__) # _len(dir(obj))
def _len_set(obj):
'''Length of frozen/set (estimate).
'''
n = len(obj)
if n > 8: # assume half filled
n = _power2(n + n - 2)
elif n: # at least 8
n = 8
return n
def _len_slice(obj):
'''Slice length.
'''
try:
return ((obj.stop - obj.start + 1) // obj.step)
except (AttributeError, TypeError):
return 0
def _len_slots(obj):
'''Slots length.
'''
return len(obj) - 1
def _len_struct(obj):
'''Struct length in bytes.
'''
try:
return obj.size
except AttributeError:
return 0
def _len_unicode(obj):
'''Unicode size.
'''
return len(obj) + 1
_all_lengs = (None, _len, _len_array, _len_bytearray,
_len_code, _len_dict, _len_frame,
_len_int, _len_iter, _len_list,
_len_module, _len_set, _len_slice,
_len_slots, _len_struct, _len_unicode)
# more private functions and classes
_old_style = '*' # marker
_new_style = '' # no marker
class _Claskey(object):
'''Wrapper for class objects.
'''
__slots__ = ('_obj', '_sty')
def __init__(self, obj, style):
self._obj = obj # XXX Weakref.ref(obj)
self._sty = style
def __str__(self):
r = str(self._obj)
if r.endswith('>'):
r = '%s%s def>' % (r[:-1], self._sty)
elif self._sty is _old_style and not r.startswith('class '):
r = 'class %s%s def' % (r, self._sty)
else:
r = '%s%s def' % (r, self._sty)
return r
__repr__ = __str__
# For most objects, the object type is used as the key in the
# _typedefs dict further below, except class and type objects
# and old-style instances. Those are wrapped with separate
# _Claskey or _Instkey instances to be able (1) to distinguish
# instances of different old-style classes by class, (2) to
# distinguish class (and type) instances from class (and type)
# definitions for new-style classes and (3) provide similar
# results for repr() and str() of new- and old-style classes
# and instances.
_claskeys = {} # [id(obj)] = _Claskey()
def _claskey(obj, style):
'''Wrap an old- or new-style class object.
'''
i = id(obj)
k = _claskeys.get(i, None)
if not k:
_claskeys[i] = k = _Claskey(obj, style)
return k
try: # no Class- and InstanceType in Python 3.0
_Types_ClassType = Types.ClassType
_Types_InstanceType = Types.InstanceType
class _Instkey(object):
'''Wrapper for old-style class (instances).
'''
__slots__ = ('_obj',)
def __init__(self, obj):
self._obj = obj # XXX Weakref.ref(obj)
def __str__(self):
return '<class %s.%s%s>' % (self._obj.__module__, self._obj.__name__, _old_style)
__repr__ = __str__
_instkeys = {} # [id(obj)] = _Instkey()
def _instkey(obj):
'''Wrap an old-style class (instance).
'''
i = id(obj)
k = _instkeys.get(i, None)
if not k:
_instkeys[i] = k = _Instkey(obj)
return k
def _keytuple(obj):
'''Return class and instance keys for a class.
'''
t = type(obj)
if t is _Types_InstanceType:
t = obj.__class__
return _claskey(t, _old_style), _instkey(t)
elif t is _Types_ClassType:
return _claskey(obj, _old_style), _instkey(obj)
elif t is _Type_type:
return _claskey(obj, _new_style), obj
return None, None # not a class
def _objkey(obj):
'''Return the key for any object.
'''
k = type(obj)
if k is _Types_InstanceType:
k = _instkey(obj.__class__)
elif k is _Types_ClassType:
k = _claskey(obj, _old_style)
elif k is _Type_type:
k = _claskey(obj, _new_style)
return k
except AttributeError: # Python 3.0
def _keytuple(obj): #PYCHOK expected
'''Return class and instance keys for a class.
'''
if type(obj) is _Type_type: # isclass(obj):
return _claskey(obj, _new_style), obj
return None, None # not a class
def _objkey(obj): #PYCHOK expected
'''Return the key for any object.
'''
k = type(obj)
if k is _Type_type: # isclass(obj):
k = _claskey(obj, _new_style)
return k
class _NamedRef(object):
'''Store referred object along
with the name of the referent.
'''
__slots__ = ('name', 'ref', 'typ')
def __init__(self, name, ref, typ=0):
self.name = name
self.ref = ref
self.typ = typ # see Asized.format
class _Slots(tuple):
'''Wrapper class for __slots__ attribute at
class instances to account for the size
of the __slots__ tuple/list containing
references to the attribute values.
'''
pass
# kinds of _Typedefs
_i = _intern
_all_kinds = (_kind_static, _kind_dynamic, _kind_derived, _kind_ignored, _kind_inferred) = (
_i('static'), _i('dynamic'), _i('derived'), _i('ignored'), _i('inferred'))
del _i
class _Typedef(object):
'''Type definition class.
'''
__slots__ = {
'base': 0, # basic size in bytes
'item': 0, # item size in bytes
'leng': None, # or _len_...() function
'refs': None, # or _..._refs() function
'both': None, # both data and code if True, code only if False
'kind': None, # _kind_... value
'type': None} # original type
def __init__(self, **kwds):
self.reset(**kwds)
def __lt__(self, unused): # for Python 3.0
return True
def __repr__(self):
return repr(self.args())
def __str__(self):
t = [str(self.base), str(self.item)]
for f in (self.leng, self.refs):
if f:
t.append(f.__name__)
else:
t.append('n/a')
if not self.both:
t.append('(code only)')
return ', '.join(t)
def args(self): # as args tuple
'''Return all attributes as arguments tuple.
'''
return (self.base, self.item, self.leng, self.refs,
self.both, self.kind, self.type)
def dup(self, other=None, **kwds):
'''Duplicate attributes of dict or other typedef.
'''
if other is None:
d = _dict_typedef.kwds()
else:
d = other.kwds()
d.update(kwds)
self.reset(**d)
def flat(self, obj, mask=0):
'''Return the aligned flat size.
'''
s = self.base
if self.leng and self.item > 0: # include items
s += self.leng(obj) * self.item
if _getsizeof: # _getsizeof prevails
s = _getsizeof(obj, s)
if mask: # align
s = (s + mask) & ~mask
if (numpyarray is not None) and isinstance(obj, numpyarray):
s = s + obj.nbytes * obj.flags.owndata
return s
def format(self):
'''Return format dict.
'''
c = n = ''
if not self.both:
c = ' (code only)'
if self.leng:
n = ' (%s)' % _nameof(self.leng)
return _kwds(base=self.base, item=self.item, leng=n,
code=c, kind=self.kind)
def kwds(self):
'''Return all attributes as keywords dict.
'''
# no dict(refs=self.refs, ..., kind=self.kind) in Python 2.0
return _kwds(base=self.base, item=self.item,
leng=self.leng, refs=self.refs,
both=self.both, kind=self.kind, type=self.type)
def save(self, t, base=0, heap=False):
'''Save this typedef plus its class typedef.
'''
c, k = _keytuple(t)
if k and k not in _typedefs: # instance key
_typedefs[k] = self
if c and c not in _typedefs: # class key
if t.__module__ in _builtin_modules:
k = _kind_ignored # default
else:
k = self.kind
_typedefs[c] = _Typedef(base=_basicsize(type(t), base=base, heap=heap),
refs=_type_refs,
both=False, kind=k, type=t)
elif isbuiltin(t) and t not in _typedefs: # array, range, xrange in Python 2.x
_typedefs[t] = _Typedef(base=_basicsize(t, base=base),
both=False, kind=_kind_ignored, type=t)
else:
raise KeyError('asizeof typedef %r bad: %r %r' % (self, (c, k), self.both))
def set(self, safe_len=False, **kwds):
'''Set one or more attributes.
'''
if kwds: # double check
d = self.kwds()
d.update(kwds)
self.reset(**d)
if safe_len and self.item:
self.leng = _len
def reset(self, base=0, item=0, leng=None, refs=None,
both=True, kind=None, type=None):
'''Reset all specified attributes.
'''
if base < 0:
raise ValueError('invalid option: %s=%r' % ('base', base))
else:
self.base = base
if item < 0:
raise ValueError('invalid option: %s=%r' % ('item', item))
else:
self.item = item
if leng in _all_lengs: # XXX or _callable(leng)
self.leng = leng
else:
raise ValueError('invalid option: %s=%r' % ('leng', leng))
if refs in _all_refs: # XXX or _callable(refs)
self.refs = refs
else:
raise ValueError('invalid option: %s=%r' % ('refs', refs))
if both in (False, True):
self.both = both
else:
raise ValueError('invalid option: %s=%r' % ('both', both))
if kind in _all_kinds:
self.kind = kind
else:
raise ValueError('invalid option: %s=%r' % ('kind', kind))
self.type = type
_typedefs = {} # [key] = _Typedef()
def _typedef_both(t, base=0, item=0, leng=None, refs=None, kind=_kind_static, heap=False):
'''Add new typedef for both data and code.
'''
v = _Typedef(base=_basicsize(t, base=base), item=_itemsize(t, item),
refs=refs, leng=leng,
both=True, kind=kind, type=t)
v.save(t, base=base, heap=heap)
return v # for _dict_typedef
def _typedef_code(t, base=0, refs=None, kind=_kind_static, heap=False):
'''Add new typedef for code only.
'''
v = _Typedef(base=_basicsize(t, base=base),
refs=refs,
both=False, kind=kind, type=t)
v.save(t, base=base, heap=heap)
return v # for _dict_typedef
# static typedefs for data and code types
_typedef_both(complex)
_typedef_both(float)
_typedef_both(list, refs=_seq_refs, leng=_len_list, item=_sizeof_Cvoidp) # sizeof(PyObject*)
_typedef_both(tuple, refs=_seq_refs, leng=_len, item=_sizeof_Cvoidp) # sizeof(PyObject*)
_typedef_both(property, refs=_prop_refs)
_typedef_both(type(Ellipsis))
_typedef_both(type(None))
# _Slots is a special tuple, see _Slots.__doc__
_typedef_both(_Slots, item=_sizeof_Cvoidp,
leng=_len_slots, # length less one
refs=None, # but no referents
heap=True) # plus head
# dict, dictproxy, dict_proxy and other dict-like types
_dict_typedef = _typedef_both(dict, item=_sizeof_CPyDictEntry, leng=_len_dict, refs=_dict_refs)
try: # <type dictproxy> only in Python 2.x
_typedef_both(Types.DictProxyType, item=_sizeof_CPyDictEntry, leng=_len_dict, refs=_dict_refs)
except AttributeError: # XXX any class __dict__ is <type dict_proxy> in Python 3.0?
_typedef_both(type(_Typedef.__dict__), item=_sizeof_CPyDictEntry, leng=_len_dict, refs=_dict_refs)
# other dict-like classes and types may be derived or inferred,
# provided the module and class name is listed here (see functions
# adict, _isdictclass and _infer_dict for further details)
_dict_classes = {'UserDict': ('IterableUserDict', 'UserDict'),
'weakref' : ('WeakKeyDictionary', 'WeakValueDictionary')}
try: # <type module> is essentially a dict
_typedef_both(Types.ModuleType, base=_dict_typedef.base,
item=_dict_typedef.item + _sizeof_CPyModuleObject,
leng=_len_module, refs=_module_refs)
except AttributeError: # missing
pass
# newer or obsolete types
try:
from array import array # array type
_typedef_both(array, leng=_len_array, item=_sizeof_Cbyte)
except ImportError: # missing
pass
try: # bool has non-zero __itemsize__ in 3.0
_typedef_both(bool)
except NameError: # missing
pass
try: # ignore basestring
_typedef_both(basestring, leng=None)
except NameError: # missing
pass
try:
if isbuiltin(buffer): # Python 2.2
_typedef_both(type(buffer('')), item=_sizeof_Cbyte, leng=_len) # XXX len in bytes?
else:
_typedef_both(buffer, item=_sizeof_Cbyte, leng=_len) # XXX len in bytes?
except NameError: # missing
pass
try:
_typedef_both(bytearray, item=_sizeof_Cbyte, leng=_len_bytearray) #PYCHOK bytearray new in 2.6, 3.0
except NameError: # missing
pass
try:
if type(bytes) is not type(str): # bytes is str in 2.6 #PYCHOK bytes new in 2.6, 3.0
_typedef_both(bytes, item=_sizeof_Cbyte, leng=_len) #PYCHOK bytes new in 2.6, 3.0
except NameError: # missing
pass
try: # XXX like bytes
_typedef_both(str8, item=_sizeof_Cbyte, leng=_len) #PYCHOK str8 new in 2.6, 3.0
except NameError: # missing
pass
try:
_typedef_both(enumerate, refs=_enum_refs)
except NameError: # missing
pass
try: # Exception is type in Python 3.0
_typedef_both(Exception, refs=_exc_refs)
except: # missing
pass #PYCHOK OK
try:
_typedef_both(file, refs=_file_refs)
except NameError: # missing
pass
try:
_typedef_both(frozenset, item=_sizeof_Csetentry, leng=_len_set, refs=_seq_refs)
except NameError: # missing
pass
try:
_typedef_both(set, item=_sizeof_Csetentry, leng=_len_set, refs=_seq_refs)
except NameError: # missing
pass
try: # not callable()
_typedef_both(Types.GetSetDescriptorType)
except AttributeError: # missing
pass
try: # if long exists, it is multi-precision ...
_typedef_both(long, item=_sizeof_Cdigit, leng=_len_int)
_typedef_both(int) # ... and int is fixed size
except NameError: # no long, only multi-precision int in Python 3.0
_typedef_both(int, item=_sizeof_Cdigit, leng=_len_int)
try: # not callable()
_typedef_both(Types.MemberDescriptorType)
except AttributeError: # missing
pass
try:
_typedef_both(type(NotImplemented)) # == Types.NotImplementedType
except NameError: # missing
pass
try:
_typedef_both(range)
except NameError: # missing
pass
try:
_typedef_both(xrange)
except NameError: # missing
pass
try:
_typedef_both(reversed, refs=_enum_refs)
except NameError: # missing
pass
try:
_typedef_both(slice, item=_sizeof_Cvoidp, leng=_len_slice) # XXX worst-case itemsize?
except NameError: # missing
pass
try:
from os import curdir, stat, statvfs
_typedef_both(type(stat( curdir)), refs=_stat_refs) # stat_result
_typedef_both(type(statvfs(curdir)), refs=_statvfs_refs, # statvfs_result
item=_sizeof_Cvoidp, leng=_len)
except ImportError: # missing
pass
try:
from struct import Struct # only in Python 2.5 and 3.0
_typedef_both(Struct, item=_sizeof_Cbyte, leng=_len_struct) # len in bytes
except ImportError: # missing
pass
try:
_typedef_both(Types.TracebackType, refs=_tb_refs)
except AttributeError: # missing
pass
try:
_typedef_both(unicode, leng=_len_unicode, item=_sizeof_Cunicode)
_typedef_both(str, leng=_len, item=_sizeof_Cbyte) # 1-byte char
except NameError: # str is unicode
_typedef_both(str, leng=_len_unicode, item=_sizeof_Cunicode)
try: # <type 'KeyedRef'>
_typedef_both(Weakref.KeyedRef, refs=_weak_refs, heap=True) # plus head
except AttributeError: # missing
pass
try: # <type 'weakproxy'>
_typedef_both(Weakref.ProxyType)
except AttributeError: # missing
pass
try: # <type 'weakref'>
_typedef_both(Weakref.ReferenceType, refs=_weak_refs)
except AttributeError: # missing
pass
# some other, callable types
_typedef_code(object, kind=_kind_ignored)
_typedef_code(super, kind=_kind_ignored)
_typedef_code(_Type_type, kind=_kind_ignored)
try:
_typedef_code(classmethod, refs=_im_refs)
except NameError:
pass
try:
_typedef_code(staticmethod, refs=_im_refs)
except NameError:
pass
try:
_typedef_code(Types.MethodType, refs=_im_refs)
except NameError:
pass
try: # generator, code only, no len(), not callable()
_typedef_code(Types.GeneratorType, refs=_gen_refs)
except AttributeError: # missing
pass
try: # <type 'weakcallableproxy'>
_typedef_code(Weakref.CallableProxyType, refs=_weak_refs)
except AttributeError: # missing
pass
# any type-specific iterators
s = [_items({}), _keys({}), _values({})]
try: # reversed list and tuples iterators
s.extend([reversed([]), reversed(())])
except NameError: # missing
pass
try: # range iterator
s.append(xrange(1))
except NameError: # missing
pass
try: # callable-iterator
from re import finditer
s.append(finditer('', ''))
except ImportError: # missing
pass
for t in _values(_typedefs):
if t.type and t.leng:
try: # create an (empty) instance
s.append(t.type())
except TypeError:
pass
for t in s:
try:
i = iter(t)
_typedef_both(type(i), leng=_len_iter, refs=_iter_refs, item=0) # no itemsize!
except (KeyError, TypeError): # ignore non-iterables, duplicates, etc.
pass
del i, s, t
def _typedef(obj, derive=False, infer=False):
'''Create a new typedef for an object.
'''
t = type(obj)
v = _Typedef(base=_basicsize(t, obj=obj),
kind=_kind_dynamic, type=t)
##_printf('new %r %r/%r %s', t, _basicsize(t), _itemsize(t), _repr(dir(obj)))
if ismodule(obj): # handle module like dict
v.dup(item=_dict_typedef.item + _sizeof_CPyModuleObject,
leng=_len_module,
refs=_module_refs)
elif isframe(obj):
v.set(base=_basicsize(t, base=_sizeof_CPyFrameObject, obj=obj),
item=_itemsize(t),
leng=_len_frame,
refs=_frame_refs)
elif iscode(obj):
v.set(base=_basicsize(t, base=_sizeof_CPyCodeObject, obj=obj),
item=_sizeof_Cvoidp,
leng=_len_code,
refs=_co_refs,
both=False) # code only
elif _callable(obj):
if isclass(obj): # class or type
v.set(refs=_class_refs,
both=False) # code only
if obj.__module__ in _builtin_modules:
v.set(kind=_kind_ignored)
elif isbuiltin(obj): # function or method
v.set(both=False, # code only
kind=_kind_ignored)
elif isfunction(obj):
v.set(refs=_func_refs,
both=False) # code only
elif ismethod(obj):
v.set(refs=_im_refs,
both=False) # code only
elif isclass(t): # callable instance, e.g. SCons,
# handle like any other instance further below
v.set(item=_itemsize(t), safe_len=True,
refs=_inst_refs) # not code only!
else:
v.set(both=False) # code only
elif _issubclass(t, dict):
v.dup(kind=_kind_derived)
elif _isdictclass(obj) or (infer and _infer_dict(obj)):
v.dup(kind=_kind_inferred)
elif getattr(obj, '__module__', None) in _builtin_modules:
v.set(kind=_kind_ignored)
else: # assume an instance of some class
if derive:
p = _derive_typedef(t)
if p: # duplicate parent
v.dup(other=p, kind=_kind_derived)
return v
if _issubclass(t, Exception):
v.set(item=_itemsize(t), safe_len=True,
refs=_exc_refs,
kind=_kind_derived)
elif isinstance(obj, Exception):
v.set(item=_itemsize(t), safe_len=True,
refs=_exc_refs)
else:
v.set(item=_itemsize(t), safe_len=True,
refs=_inst_refs)
return v
class _Prof(object):
'''Internal type profile class.
'''
total = 0 # total size
high = 0 # largest size
number = 0 # number of (unique) objects
objref = None # largest object (weakref)
weak = False # objref is weakref(object)
def __cmp__(self, other):
if self.total < other.total:
return -1
if self.total > other.total:
return +1
if self.number < other.number:
return -1
if self.number > other.number:
return +1
return 0
def __lt__(self, other): # for Python 3.0
return self.__cmp__(other) < 0
def format(self, clip=0, grand=None):
'''Return format dict.
'''
if self.number > 1: # avg., plural
a, p = int(self.total / self.number), 's'
else:
a, p = self.total, ''
o = self.objref
if self.weak: # weakref'd
o = o()
t = _SI2(self.total)
if grand:
t += ' (%s)' % _p100(self.total, grand, prec=0)
return _kwds(avg=_SI2(a), high=_SI2(self.high),
lengstr=_lengstr(o), obj=_repr(o, clip=clip),
plural=p, total=t)
def update(self, obj, size):
'''Update this profile.
'''
self.number += 1
self.total += size
if self.high < size: # largest
self.high = size
try: # prefer using weak ref
self.objref, self.weak = Weakref.ref(obj), True
except TypeError:
self.objref, self.weak = obj, False
# public classes
class Asized(object):
'''Store the results of an asized object
in these 4 attributes:
size - total size of the object
flat - flat size of the object
name - name or repr of the object
refs - tuple containing an instance
of Asized for each referent
'''
strf = ( '%s', # default name format
'[K] %s', # dict key, see _dict_refs
'[V] %s') # dict value, see _dict_refs
def __init__(self, size, flat, refs=(), name=None):
self.size = size # total size
self.flat = flat # flat size
self.name = name # name, repr or None
self.refs = tuple(refs)
def __str__(self):
return 'size %r, flat %r, refs[%d], name %r' % (
self.size, self.flat, len(self.refs), self.name)
def format(self, named):
'''Format name from _NamedRef instance.
'''
return self.strf[named.typ] % named.name
class Asizer(object):
'''Sizer state and options.
'''
_align_ = 8
_all_ = False
_clip_ = 80
_code_ = False
_derive_ = False
_detail_ = 0 # for Asized only
_infer_ = False
_limit_ = 100
_stats_ = 0
_cutoff = 0 # in percent
_depth = 0 # recursion depth
_duplicate = 0
_excl_d = None # {}
_ign_d = _kind_ignored
_incl = '' # or ' (incl. code)'
_mask = 7 # see _align_
_missed = 0 # due to errors
_profile = False
_profs = None # {}
_seen = None # {}
_total = 0 # total size
def __init__(self, **opts):
'''See method reset for the available options.
'''
self._excl_d = {}
self.reset(**opts)
def _clear(self):
'''Clear state.
'''
self._all_ = False
self._depth = 0 # recursion depth
self._duplicate = 0
self._incl = '' # or ' (incl. code)'
self._missed = 0 # due to errors
self._profile = False
self._profs = {}
self._seen = {}
self._total = 0 # total size
for k in _keys(self._excl_d):
self._excl_d[k] = 0
def _nameof(self, obj):
'''Return the object's name.
'''
return _nameof(obj, '') or self._repr(obj)
def _prepr(self, obj):
'''Like prepr().
'''
return _prepr(obj, clip=self._clip_)
def _prof(self, key):
'''Get _Prof object.
'''
p = self._profs.get(key, None)
if not p:
self._profs[key] = p = _Prof()
return p
def _repr(self, obj):
'''Like repr().
'''
return _repr(obj, clip=self._clip_)
def _sizer(self, obj, deep, sized):
'''Size an object, recursively.
'''
s, f, i = 0, 0, id(obj)
# skip obj if seen before
# or if ref of a given obj
if i in self._seen:
if deep:
self._seen[i] += 1
if sized:
s = sized(s, f, name=self._nameof(obj))
return s
else:
self._seen[i] = 0
try:
k, rs = _objkey(obj), []
if k in self._excl_d:
self._excl_d[k] += 1
else:
v = _typedefs.get(k, None)
if not v: # new typedef
_typedefs[k] = v = _typedef(obj, derive=self._derive_,
infer=self._infer_)
if (v.both or self._code_) and v.kind is not self._ign_d:
s = f = v.flat(obj, self._mask) # flat size
if self._profile: # profile type
self._prof(k).update(obj, s)
# recurse, but not for nested modules
if deep < self._limit_ and not (deep and ismodule(obj)):
# add sizes of referents
r, z, d = v.refs, self._sizer, deep + 1
if self._all_: # use 'all' referents
r = _getreferents(obj)
if r:
t = id(r)
if t in self._seen:
for o in r: # no sum(<generator_expression>) in Python 2.2
s += z(o, d, None)
else: # exclude container
self._seen[t] = 0
for o in r: # no sum(<generator_expression>) in Python 2.2
s += z(o, d, None)
del self._seen[t]
elif r: # and _callable(r):
if sized and deep < self._detail_:
# use named referents
for o in r(obj, True):
if isinstance(o, _NamedRef):
t = z(o.ref, d, sized)
t.name = t.format(o)
else:
t = z(o, d, sized)
t.name = self._nameof(o)
rs.append(t)
s += t.size
else: # no sum(<generator_expression>) in Python 2.2
for o in r(obj, False):
s += z(o, d, None)
# recursion depth
if self._depth < d:
self._depth = d
self._seen[i] += 1
except RuntimeError: # XXX RecursionLimitExceeded:
self._missed += 1
if sized:
s = sized(s, f, name=self._nameof(obj), refs=rs)
return s
def _sizes(self, objs, sized=None):
'''Return the size or an Asized instance for each
given object and the total size. The total
includes the size of duplicates only once.
'''
self.exclude_refs(*objs) # skip refs to objs
s, t = {}, []
for o in objs:
i = id(o)
if i in s: # duplicate
self._seen[i] += 1
self._duplicate += 1
else:
s[i] = self._sizer(o, 0, sized)
t.append(s[i])
if sized:
s = _sum([i.size for i in _values(s)]) # [] for Python 2.2
else:
s = _sum(_values(s))
self._total += s # accumulate
return s, tuple(t)
def asized(self, *objs, **opts):
'''Size each object and return an Asized instance with
size information and referents up to the given detail
level (and with modified options, see method set).
If only one object is given, the return value is the
Asized instance for that object.
'''
if opts:
self.set(**opts)
if self._all_:
raise KeyError('invalid option: %s=%r' % ('all', self._all_))
_, t = self._sizes(objs, Asized)
if len(t) == 1:
t = t[0]
return t
def asizeof(self, *objs, **opts):
'''Return the combined size of the given objects
(with modified options, see also method set).
'''
if opts:
self.set(**opts)
s, _ = self._sizes(objs, None)
return s
def asizesof(self, *objs, **opts):
'''Return the individual sizes of the given objects
(with modified options, see also method set).
'''
if opts:
self.set(**opts)
_, t = self._sizes(objs, None)
return t
def exclude_refs(self, *objs):
'''Exclude any references to the specified objects from sizing.
While any references to the given objects are excluded, the
objects will be sized if specified as positional arguments
in subsequent calls to methods asizeof and asizesof.
'''
for o in objs:
self._seen.setdefault(id(o), 0)
def exclude_types(self, *objs):
'''Exclude the specified object instances and types from sizing.
All instances and types of the given objects are excluded,
even objects specified as positional arguments in subsequent
calls to methods asizeof and asizesof.
'''
for o in objs:
for t in _keytuple(o):
if t and t not in self._excl_d:
self._excl_d[t] = 0
def print_profiles(self, w=0, cutoff=0, **print3opts):
'''Print the profiles above cutoff percentage.
w=0 -- indentation for each line
cutoff=0 -- minimum percentage printed
print3options -- print options, as in Python 3.0
'''
# get the profiles with non-zero size or count
t = [(v, k) for k, v in _items(self._profs) if v.total > 0 or v.number > 1]
if (len(self._profs) - len(t)) < 9: # just show all
t = [(v, k) for k, v in _items(self._profs)]
if t:
s = ''
if self._total:
s = ' (% of grand total)'
c = max(cutoff, self._cutoff)
c = int(c * 0.01 * self._total)
else:
c = 0
_printf('%s%*d profile%s: total%s, average, and largest flat size%s: largest object',
linesep, w, len(t), _plural(len(t)), s, self._incl, **print3opts)
r = len(t)
for v, k in _sorted(t, reverse=True):
s = 'object%(plural)s: %(total)s, %(avg)s, %(high)s: %(obj)s%(lengstr)s' % v.format(self._clip_, self._total)
_printf('%*d %s %s', w, v.number, self._prepr(k), s, **print3opts)
r -= 1
if r > 1 and v.total < c:
c = max(cutoff, self._cutoff)
_printf('%+*d profiles below cutoff (%.0f%%)', w, r, c)
break
z = len(self._profs) - len(t)
if z > 0:
_printf('%+*d %r object%s', w, z, 'zero', _plural(z), **print3opts)
def print_stats(self, objs=(), opts={}, sized=(), sizes=(), stats=3.0, **print3opts):
'''Print the statistics.
w=0 -- indentation for each line
objs=() -- optional, list of objects
opts={} -- optional, dict of options used
sized=() -- optional, tuple of Asized instances returned
sizes=() -- optional, tuple of sizes returned
stats=3.0 -- print statistics and cutoff percentage
print3options -- print options, as in Python 3.0
'''
s = min(opts.get('stats', stats) or 0, self._stats_)
if s > 0: # print stats
t = self._total + self._missed + _sum(_values(self._seen))
w = len(str(t)) + 1
t = c = ''
o = _kwdstr(**opts)
if o and objs:
c = ', '
# print header line(s)
if sized and objs:
n = len(objs)
if n > 1:
_printf('%sasized(...%s%s) ...', linesep, c, o, **print3opts)
for i in range(n): # no enumerate in Python 2.2.3
_printf('%*d: %s', w-1, i, sized[i], **print3opts)
else:
_printf('%sasized(%s): %s', linesep, o, sized, **print3opts)
elif sizes and objs:
_printf('%sasizesof(...%s%s) ...', linesep, c, o, **print3opts)
for z, o in zip(sizes, objs):
_printf('%*d bytes%s%s: %s', w, z, _SI(z), self._incl, self._repr(o), **print3opts)
else:
if objs:
t = self._repr(objs)
_printf('%sasizeof(%s%s%s) ...', linesep, t, c, o, **print3opts)
# print summary
self.print_summary(w=w, objs=objs, **print3opts)
if s > 1: # print profile
c = int(s - int(s)) * 100
self.print_profiles(w=w, cutoff=c, **print3opts)
if s > 2: # print typedefs
self.print_typedefs(w=w, **print3opts)
def print_summary(self, w=0, objs=(), **print3opts):
'''Print the summary statistics.
w=0 -- indentation for each line
objs=() -- optional, list of objects
print3options -- print options, as in Python 3.0
'''
_printf('%*d bytes%s%s', w, self._total, _SI(self._total), self._incl, **print3opts)
if self._mask:
_printf('%*d byte aligned', w, self._mask + 1, **print3opts)
_printf('%*d byte sizeof(void*)', w, _sizeof_Cvoidp, **print3opts)
n = len(objs or ())
if n > 0:
d = self._duplicate or ''
if d:
d = ', %d duplicate' % self._duplicate
_printf('%*d object%s given%s', w, n, _plural(n), d, **print3opts)
t = _sum([1 for t in _values(self._seen) if t != 0]) # [] for Python 2.2
_printf('%*d object%s sized', w, t, _plural(t), **print3opts)
if self._excl_d:
t = _sum(_values(self._excl_d))
_printf('%*d object%s excluded', w, t, _plural(t), **print3opts)
t = _sum(_values(self._seen))
_printf('%*d object%s seen', w, t, _plural(t), **print3opts)
if self._missed > 0:
_printf('%*d object%s missed', w, self._missed, _plural(self._missed), **print3opts)
if self._depth > 0:
_printf('%*d recursion depth', w, self._depth, **print3opts)
def print_typedefs(self, w=0, **print3opts):
'''Print the types and dict tables.
w=0 -- indentation for each line
print3options -- print options, as in Python 3.0
'''
for k in _all_kinds:
# XXX Python 3.0 doesn't sort type objects
t = [(self._prepr(a), v) for a, v in _items(_typedefs) if v.kind == k and (v.both or self._code_)]
if t:
_printf('%s%*d %s type%s: basicsize, itemsize, _len_(), _refs()',
linesep, w, len(t), k, _plural(len(t)), **print3opts)
for a, v in _sorted(t):
_printf('%*s %s: %s', w, '', a, v, **print3opts)
# dict and dict-like classes
t = _sum([len(v) for v in _values(_dict_classes)]) # [] for Python 2.2
if t:
_printf('%s%*d dict/-like classes:', linesep, w, t, **print3opts)
for m, v in _items(_dict_classes):
_printf('%*s %s: %s', w, '', m, self._prepr(v), **print3opts)
def set(self, align=None, code=None, detail=None, limit=None, stats=None):
'''Set some options. Any options not set
remain the same as the previous setting.
align=8 -- size alignment
code=False -- incl. (byte)code size
detail=0 -- Asized refs level
limit=100 -- recursion limit
stats=0.0 -- print statistics and cutoff percentage
'''
# adjust
if align is not None:
self._align_ = align
if align > 1:
self._mask = align - 1
if (self._mask & align) != 0:
raise ValueError('invalid option: %s=%r' % ('align', align))
else:
self._mask = 0
if code is not None:
self._code_ = code
if code: # incl. (byte)code
self._incl = ' (incl. code)'
if detail is not None:
self._detail_ = detail
if limit is not None:
self._limit_ = limit
if stats is not None:
self._stats_ = s = int(stats)
self._cutoff = (stats - s) * 100
if s > 1: # profile types
self._profile = True
else:
self._profile = False
def _get_duplicate(self):
'''Number of duplicate objects.
'''
return self._duplicate
duplicate = property(_get_duplicate, doc=_get_duplicate.__doc__)
def _get_missed(self):
'''Number of objects missed due to errors.
'''
return self._missed
missed = property(_get_missed, doc=_get_missed.__doc__)
def _get_total(self):
'''Total size accumulated so far.
'''
return self._total
total = property(_get_total, doc=_get_total.__doc__)
def reset(self, align=8, all=False, clip=80, code=False, derive=False, #PYCHOK expected
detail=0, ignored=True, infer=False, limit=100, stats=0):
'''Reset options, state, etc.
The available options and default values are:
align=8 -- size alignment
all=False -- all current GC objects and referents
clip=80 -- clip repr() strings
code=False -- incl. (byte)code size
derive=False -- derive from super type
detail=0 -- Asized refs level
ignored=True -- ignore certain types
infer=False -- try to infer types
limit=100 -- recursion limit
stats=0.0 -- print statistics and cutoff percentage
See function asizeof for a description of the options.
'''
# options
self._align_ = align
self._all_ = all
self._clip_ = clip
self._code_ = code
self._derive_ = derive
self._detail_ = detail # for Asized only
self._infer_ = infer
self._limit_ = limit
self._stats_ = stats
if ignored:
self._ign_d = _kind_ignored
else:
self._ign_d = None
# clear state
self._clear()
self.set(align=align, code=code, stats=stats)
# public functions
def adict(*classes):
'''Install one or more classes to be handled as dict.
'''
a = True
for c in classes:
# if class is dict-like, add class
# name to _dict_classes[module]
if isclass(c) and _infer_dict(c):
t = _dict_classes.get(c.__module__, ())
if c.__name__ not in t: # extend tuple
_dict_classes[c.__module__] = t + (c.__name__,)
else: # not a dict-like class
a = False
return a # all installed if True
_asizer = Asizer()
def asized(*objs, **opts):
'''Return a tuple containing an Asized instance for each
object passed as positional argment using the following
options.
align=8 -- size alignment
all=False -- all current GC objects and referents
clip=80 -- clip repr() strings
code=False -- incl. (byte)code size
derive=False -- derive from super type
detail=0 -- Asized refs level
ignored=True -- ignore certain types
infer=False -- try to infer types
limit=100 -- recursion limit
stats=0.0 -- print statistics and cutoff percentage
If only one object is given, the return value is the Asized
instance for that object.
Set detail to the desired referents level (recursion depth).
See function asizeof for descriptions of the other options.
The length of the returned tuple matches the number of given
objects, if more than one object is given.
'''
t = _objs(objs, **opts)
if t:
_asizer.reset(**opts)
s = _asizer.asized(*t)
_asizer.print_stats(objs=t, opts=opts, sized=s)
_asizer._clear()
else:
s = ()
return s
def asizeof(*objs, **opts):
'''Return the combined size in bytes of all objects passed
as positional argments.
The available options and defaults are the following.
align=8 -- size alignment
all=False -- all current GC objects and referents
clip=80 -- clip ``repr()`` strings
code=False -- incl. (byte)code size
derive=False -- derive from super type
ignored=True -- ignore certain types
infer=False -- try to infer types
limit=100 -- recursion limit
stats=0.0 -- print statistics and cutoff percentage
Set align to a power of 2 to align sizes. Any value less
than 2 avoids size alignment.
All current GC objects are sized if all is True and if no
positional arguments are supplied. Also, if all is True
the GC referents are used instead of the limited ones.
A positive clip value truncates all repr() strings to at
most clip characters.
The (byte)code size of callable objects like functions,
methods, classes, etc. is included only if code is True.
If derive is True, new types are handled like an existing
(super) type provided there is one and only of those.
By default, certain base types like object are ignored for
sizing. Set ignored to False to force all ignored types
in the size of objects.
By default certain base types like object, super, etc. are
ignored. Set ignored to False to include those.
If infer is True, new types are inferred from attributes
(only implemented for dict types on callable attributes
as get, has_key, items, keys and values).
Set limit to a positive value to accumulate the sizes of
the referents of each object, recursively up to the limit.
Using limit zero returns the sum of the flat [1] sizes of
the given objects. High limit values may cause runtime
errors and miss objects for sizing.
A positive value for stats prints up to 8 statistics, (1)
a summary of the number of objects sized and seen, (2) a
simple profile of the sized objects by type and (3+) up to
6 tables showing the static, dynamic, derived, ignored,
inferred and dict types used, found respectively installed.
The fractional part of the stats value (x 100) is the cutoff
percentage for simple profiles. Objects below the cutoff
value are not reported.
[1] See the documentation of this module for the definition
of flat size.
'''
t = _objs(objs, **opts)
if t:
_asizer.reset(**opts)
s = _asizer.asizeof(*t)
_asizer.print_stats(objs=t, opts=opts)
_asizer._clear()
else:
s = 0
return s
def asizesof(*objs, **opts):
'''Return a tuple containing the size in bytes of all objects
passed as positional argments using the following options.
align=8 -- size alignment
all=False -- use GC objects and referents
clip=80 -- clip ``repr()`` strings
code=False -- incl. (byte)code size
derive=False -- derive from super type
ignored=True -- ignore certain types
infer=False -- try to infer types
limit=100 -- recursion limit
stats=0.0 -- print statistics and cutoff percentage
See function asizeof for a description of the options.
The length of the returned tuple equals the number of given
objects.
'''
t = _objs(objs, **opts)
if t:
_asizer.reset(**opts)
s = _asizer.asizesof(*t)
_asizer.print_stats(objs=t, opts=opts, sizes=s)
_asizer._clear()
else:
s = ()
return s
def _typedefof(obj, save=False, **opts):
'''Get the typedef for an object.
'''
k = _objkey(obj)
v = _typedefs.get(k, None)
if not v: # new typedef
v = _typedef(obj, **opts)
if save:
_typedefs[k] = v
return v
def basicsize(obj, **opts):
'''Return the basic size of an object (in bytes).
Valid options and defaults are
derive=False -- derive type from super type
infer=False -- try to infer types
save=False -- save typedef if new
'''
v = _typedefof(obj, **opts)
if v:
v = v.base
return v
def flatsize(obj, align=0, **opts):
'''Return the flat size of an object (in bytes),
optionally aligned to a given power of 2.
See function basicsize for a description of
the other options. See the documentation of
this module for the definition of flat size.
'''
v = _typedefof(obj, **opts)
if v:
if align > 1:
m = align - 1
if (align & m) != 0:
raise ValueError('invalid option: %s=%r' % ('align', align))
else:
m = 0
v = v.flat(obj, m)
return v
def itemsize(obj, **opts):
'''Return the item size of an object (in bytes).
See function basicsize for a description of
the options.
'''
v = _typedefof(obj, **opts)
if v:
v = v.item
return v
def leng(obj, **opts):
'''Return the length of an object (in items).
See function basicsize for a description
of the options.
'''
v = _typedefof(obj, **opts)
if v:
v = v.leng
if v and _callable(v):
v = v(obj)
return v
def refs(obj, all=False, **opts):
'''Return (a generator for) specific referents of an
object.
If all is True return the GC referents.
See function basicsize for a description of the
options.
'''
v = _typedefof(obj, **opts)
if v:
if all: # == True
v = _getreferents(obj)
else:
v = v.refs
if v and _callable(v):
v = v(obj, False)
return v
if __name__ == '__main__':
argv, MAX = sys.argv, sys.getrecursionlimit()
def _print_asizeof(obj, infer=False, stats=0):
a = [_repr(obj),]
for d, c in ((0, False), (MAX, False), (MAX, True)):
a.append(asizeof(obj, limit=d, code=c, infer=infer, stats=stats))
_printf(" asizeof(%s) is %d, %d, %d", *a)
def _print_functions(obj, name=None, align=8, detail=MAX, code=False, limit=MAX,
opt='', **unused):
if name:
_printf('%sasizeof functions for %s ... %s', linesep, name, opt)
_printf('%s(): %s', ' basicsize', basicsize(obj))
_printf('%s(): %s', ' itemsize', itemsize(obj))
_printf('%s(): %r', ' leng', leng(obj))
_printf('%s(): %s', ' refs', _repr(refs(obj)))
_printf('%s(): %s', ' flatsize', flatsize(obj, align=align)) # , code=code
_printf('%s(): %s', ' asized', asized(obj, align=align, detail=detail, code=code, limit=limit))
##_printf('%s(): %s', '.asized', _asizer.asized(obj, align=align, detail=detail, code=code, limit=limit))
def _bool(arg):
a = arg.lower()
if a in ('1', 't', 'y', 'true', 'yes', 'on'):
return True
elif a in ('0', 'f', 'n', 'false', 'no', 'off'):
return False
else:
raise ValueError('bool option expected: %r' % arg)
def _opts(*opts):
'''Return True if any oof the given options
was present in the command line arguments.
'''
for o in opts + ('-', '--'):
if o in argv:
return True
return False
if '-im' in argv or '-import' in argv:
# import and size modules given as args
def _aopts(argv, **opts):
'''Get argv options as typed values.
'''
i = 1
while argv[i].startswith('-'):
k = argv[i].lstrip('-')
if 'import'.startswith(k):
i += 1
elif k in opts:
t = type(opts[k])
if t is bool:
t = _bool
i += 1
opts[k] = t(argv[i])
i += 1
else:
raise NameError('invalid option: %s' % argv[i])
return opts, i
opts, i = _aopts(argv, align=8, clip=80, code=False, derive=False, detail=MAX, limit=MAX, stats=0)
while i < len(argv):
m, i = argv[i], i + 1
if m == 'eval' and i < len(argv):
o, i = eval(argv[i]), i + 1
else:
o = __import__(m)
s = asizeof(o, **opts)
_printf("%sasizeof(%s) is %d", linesep, _repr(o, opts['clip']), s)
_print_functions(o, **opts)
argv = []
elif len(argv) < 2 or _opts('-h', '-help'):
d = {'-all': 'all=True example',
'-basic': 'basic examples',
'-C': 'Csizeof values',
'-class': 'class and instance examples',
'-code': 'code examples',
'-dict': 'dict and UserDict examples',
##'-gc': 'gc examples',
'-gen[erator]': 'generator examples',
'-glob[als]': 'globals examples, incl. asized()',
'-h[elp]': 'print this information',
'-im[port] <module>': 'imported module example',
'-int | -long': 'int and long examples',
'-iter[ator]': 'iterator examples',
'-loc[als]': 'locals examples',
'-pair[s]': 'key pair examples',
'-slots': 'slots examples',
'-stack': 'stack examples',
'-sys': 'sys.modules examples',
'-test': 'test flatsize() vs sys.getsizeof()',
'-type[def]s': 'type definitions',
'- | --': 'all examples'}
w = -max([len(o) for o in _keys(d)]) # [] for Python 2.2
t = _sorted(['%*s -- %s' % (w, o, t) for o, t in _items(d)]) # [] for Python 2.2
t = '\n '.join([''] + t)
_printf('usage: %s <option> ...\n%s\n', argv[0], t)
class C: pass
class D(dict):
_attr1 = None
_attr2 = None
class E(D):
def __init__(self, a1=1, a2=2): #PYCHOK OK
self._attr1 = a1 #PYCHOK OK
self._attr2 = a2 #PYCHOK OK
class P(object):
_p = None
def _get_p(self):
return self._p
p = property(_get_p) #PYCHOK OK
class O: # old style
a = None
b = None
class S(object): # new style
__slots__ = ('a', 'b')
class T(object):
__slots__ = ('a', 'b')
def __init__(self):
self.a = self.b = 0
if _opts('-all'): # all=True example
_printf('%sasizeof(limit=%s, code=%s, %s) ... %s', linesep, 'MAX', True, 'all=True', '-all')
asizeof(limit=MAX, code=True, stats=MAX, all=True)
if _opts('-basic'): # basic examples
_printf('%sasizeof(%s) for (limit, code) in %s ... %s', linesep, '<basic_objects>', '((0, False), (MAX, False), (MAX, True))', '-basic')
for o in (None, True, False,
1.0, 1.0e100, 1024, 1000000000,
'', 'a', 'abcdefg',
{}, (), []):
_print_asizeof(o, infer=True)
if _opts('-C'): # show all Csizeof values
_sizeof_Cdouble = calcsize('d') #PYCHOK OK
_sizeof_Csize_t = calcsize('Z') #PYCHOK OK
_sizeof_Cssize_t = calcsize('z') #PYCHOK OK
t = [t for t in locals().items() if t[0].startswith('_sizeof_')]
_printf('%s%d C sizes: (bytes) ... -C', linesep, len(t))
for n, v in _sorted(t):
_printf(' sizeof(%s): %r', n[len('_sizeof_'):], v)
if _opts('-class'): # class and instance examples
_printf('%sasizeof(%s) for (limit, code) in %s ... %s', linesep, '<non-callable>', '((0, False), (MAX, False), (MAX, True))', '-class')
for o in (C(), C.__dict__,
D(), D.__dict__,
E(), E.__dict__,
P(), P.__dict__, P.p,
O(), O.__dict__,
S(), S.__dict__,
S(), S.__dict__,
T(), T.__dict__):
_print_asizeof(o, infer=True)
if _opts('-code'): # code examples
_printf('%sasizeof(%s) for (limit, code) in %s ... %s', linesep, '<callable>', '((0, False), (MAX, False), (MAX, True))', '-code')
for o in (C, D, E, P, S, T, # classes are callable
type,
_co_refs, _dict_refs, _inst_refs, _len_int, _seq_refs, lambda x: x,
(_co_refs, _dict_refs, _inst_refs, _len_int, _seq_refs),
_typedefs):
_print_asizeof(o)
if _opts('-dict'): # dict and UserDict examples
_printf('%sasizeof(%s) for (limit, code) in %s ... %s', linesep, '<Dicts>', '((0, False), (MAX, False), (MAX, True))', '-dict')
try:
import UserDict # no UserDict in 3.0
for o in (UserDict.IterableUserDict(), UserDict.UserDict()):
_print_asizeof(o)
except ImportError:
pass
class _Dict(dict):
pass
for o in (dict(), _Dict(),
P.__dict__, # dictproxy
Weakref.WeakKeyDictionary(), Weakref.WeakValueDictionary(),
_typedefs):
_print_asizeof(o, infer=True)
##if _opts('-gc'): # gc examples
##_printf('%sasizeof(limit=%s, code=%s, *%s) ...', linesep, 'MAX', False, 'gc.garbage')
##from gc import collect, garbage # list()
##asizeof(limit=MAX, code=False, stats=1, *garbage)
##collect()
##asizeof(limit=MAX, code=False, stats=2, *garbage)
if _opts('-gen', '-generator'): # generator examples
_printf('%sasizeof(%s, code=%s) ... %s', linesep, '<generator>', True, '-gen[erator]')
def gen(x):
i = 0
while i < x:
yield i
i += 1
a = gen(5)
b = gen(50)
asizeof(a, code=True, stats=1)
asizeof(b, code=True, stats=1)
asizeof(a, code=True, stats=1)
if _opts('-glob', '-globals'): # globals examples
_printf('%sasizeof(%s, limit=%s, code=%s) ... %s', linesep, 'globals()', 'MAX', False, '-glob[als]')
asizeof(globals(), limit=MAX, code=False, stats=1)
_print_functions(globals(), 'globals()', opt='-glob[als]')
_printf('%sasizesof(%s, limit=%s, code=%s) ... %s', linesep, 'globals(), locals()', 'MAX', False, '-glob[als]')
asizesof(globals(), locals(), limit=MAX, code=False, stats=1)
asized(globals(), align=0, detail=MAX, limit=MAX, code=False, stats=1)
if _opts('-int', '-long'): # int and long examples
try:
_L5d = long(1) << 64
_L17d = long(1) << 256
t = '<int>/<long>'
except NameError:
_L5d = 1 << 64
_L17d = 1 << 256
t = '<int>'
_printf('%sasizeof(%s, align=%s, limit=%s) ... %s', linesep, t, 0, 0, '-int')
for o in (1024, 1000000000,
1.0, 1.0e100, 1024, 1000000000,
MAX, 1 << 32, _L5d, -_L5d, _L17d, -_L17d):
_printf(" asizeof(%s) is %s (%s + %s * %s)", _repr(o), asizeof(o, align=0, limit=0),
basicsize(o), leng(o), itemsize(o))
if _opts('-iter', '-iterator'): # iterator examples
_printf('%sasizeof(%s, code=%s) ... %s', linesep, '<iterator>', False, '-iter[ator]')
o = iter('0123456789')
e = iter('')
d = iter({})
i = iter(_items({1:1}))
k = iter(_keys({2:2, 3:3}))
v = iter(_values({4:4, 5:5, 6:6}))
l = iter([])
t = iter(())
asizesof(o, e, d, i, k, v, l, t, limit=0, code=False, stats=1)
asizesof(o, e, d, i, k, v, l, t, limit=9, code=False, stats=1)
if _opts('-loc', '-locals'): # locals examples
_printf('%sasizeof(%s, limit=%s, code=%s) ... %s', linesep, 'locals()', 'MAX', False, '-loc[als]')
asizeof(locals(), limit=MAX, code=False, stats=1)
_print_functions(locals(), 'locals()', opt='-loc[als]')
if _opts('-pair', '-pairs'): # key pair examples
# <http://jjinux.blogspot.com/2008/08/python-memory-conservation-tip.html>
_printf('%sasizeof(%s) vs asizeof(%s) ... %s', linesep, 'dict[i][j]', 'dict[(i,j)]', '-pair[s]')
n = m = 200
p = {} # [i][j]
for i in range(n):
q = {}
for j in range(m):
q[j] = None
p[i] = q
p = asizeof(p, stats=1)
t = {} # [(i,j)]
for i in range(n):
for j in range(m):
t[(i,j)] = None
t = asizeof(t, stats=1)
_printf('%sasizeof(dict[i][j]) is %s of asizeof(dict[(i,j)])', linesep, _p100(p, t))
if _opts('-slots'): # slots examples
_printf('%sasizeof(%s, code=%s) ... %s', linesep, '<__slots__>', False, '-slots')
class Old:
pass # m = None
class New(object):
__slots__ = ('n',)
class Sub(New): #PYCHOK OK
__slots__ = {'s': ''} # duplicate!
def __init__(self): #PYCHOK OK
New.__init__(self)
# basic instance sizes
o, n, s = Old(), New(), Sub()
asizesof(o, n, s, limit=MAX, code=False, stats=1)
# with unique min attr size
o.o = 'o'
n.n = 'n'
s.n = 'S'
s.s = 's'
asizesof(o, n, s, limit=MAX, code=False, stats=1)
# with duplicate, intern'ed, 1-char string attrs
o.o = 'x'
n.n = 'x'
s.n = 'x'
s.s = 'x'
asizesof(o, n, s, 'x', limit=MAX, code=False, stats=1)
# with larger attr size
o.o = 'o'*1000
n.n = 'n'*1000
s.n = 'n'*1000
s.s = 's'*1000
asizesof(o, n, s, 'x'*1000, limit=MAX, code=False, stats=1)
if _opts('-stack'): # stack examples
_printf('%sasizeof(%s, limit=%s, code=%s) ... %s', linesep, 'stack(MAX)', 'MAX', False, '')
asizeof(stack(MAX), limit=MAX, code=False, stats=1)
_print_functions(stack(MAX), 'stack(MAX)', opt='-stack')
if _opts('-sys'): # sys.modules examples
_printf('%sasizeof(limit=%s, code=%s, *%s) ... %s', linesep, 'MAX', False, 'sys.modules.values()', '-sys')
asizeof(limit=MAX, code=False, stats=1, *sys.modules.values())
_print_functions(sys.modules, 'sys.modules', opt='-sys')
if _opts('-type', '-types', '-typedefs'): # show all basic _typedefs
t = len(_typedefs)
w = len(str(t)) * ' '
_printf('%s%d type definitions: basic- and itemsize (leng), kind ... %s', linesep, t, '-type[def]s')
for k, v in _sorted([(_prepr(k), v) for k, v in _items(_typedefs)]): # [] for Python 2.2
s = '%(base)s and %(item)s%(leng)s, %(kind)s%(code)s' % v.format()
_printf('%s %s: %s', w, k, s)
if _opts('-test'):
# compare the results of flatsize() *without* using sys.getsizeof()
# with the accurate sizes returned by sys.getsizeof() but expect
# differences for sequences as dicts, lists, sets, tuples, etc.
# while this is no proof for the accuracy of flatsize() on Python
# builds without sys.getsizeof(), it does provide some evidence
# that that flatsize() produces reasonable and usable results
_printf('%sflatsize() vs sys.getsizeof() ... %s', linesep, '-test')
t, g, e = [], _getsizeof, 0
if g:
for v in _values(_typedefs):
t.append(v.type)
try: # creating one instance
if v.type.__module__ not in ('io',): # avoid 3.0 RuntimeWarning
t.append(v.type())
except (AttributeError, SystemError, TypeError, ValueError): # ignore errors
pass
t.extend(({1:1, 2:2, 3:3, 4:4, 5:5, 6:6, 7:7, 8:8},
[1,2,3,4,5,6,7,8], ['1', '2', '3'], [0] * 100,
'12345678', 'x' * 1001,
(1,2,3,4,5,6,7,8), ('1', '2', '3'), (0,) * 100,
_Slots((1,2,3,4,5,6,7,8)), _Slots(('1', '2', '3')), _Slots((0,) * 100),
0, 1 << 8, 1 << 16, 1 << 32, 1 << 64, 1 << 128,
complex(0, 1), True, False))
_getsizeof = None # zap _getsizeof for flatsize()
for o in t:
a = flatsize(o)
s = sys.getsizeof(o, 0) # 0 as default #PYCHOK expected
if a != s:
# flatsize approximates the length of sequences
# (sys.getsizeof(bool) on 3.0b3 is not correct)
if type(o) in (dict, list, set, frozenset, tuple) or (
type(o) in (bool,) and sys.version_info[0] == 3):
x = 'expected failure'
else:
x = '%r' % _typedefof(o)
e += 1
_printf('flatsize() %s vs sys.getsizeof() %s for %s: %s, %s',
a, s, _nameof(type(o)), _repr(o), x)
_getsizeof = g # restore
n, p = len(t), 'python %s' % sys.version.split()[0]
if e:
_printf('%s%d of %d tests failed or %s on %s', linesep, e, n, _p100(e, n), p)
elif g:
_printf('no unexpected failures in %d tests on %s', n, p)
else:
_printf('no sys.%s() in this %s', 'getsizeof', p)
# License file from an earlier version of this source file follows:
#---------------------------------------------------------------------
# Copyright (c) 2002-2009 -- ProphICy Semiconductor, Inc.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
#
# - Redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer.
#
# - Redistributions in binary form must reproduce the above copyright
# notice, this list of conditions and the following disclaimer in
# the documentation and/or other materials provided with the
# distribution.
#
# - Neither the name of ProphICy Semiconductor, Inc. nor the names
# of its contributors may be used to endorse or promote products
# derived from this software without specific prior written
# permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
# "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
# LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
# FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
# COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
# INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
# (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
# SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION)
# HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,
# STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
# ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED
# OF THE POSSIBILITY OF SUCH DAMAGE.
#---------------------------------------------------------------------
Jump to Line
Something went wrong with that request. Please try again.