def copy(self):
from types import BuiltinMethodType
new_context = {}
generic_attrs = (
*StructRNA.__dict__.keys(),
"bl_rna", "rna_type", "copy",
)
for attr in dir(self):
if not (attr.startswith("_") or attr in generic_attrs):
value = getattr(self, attr)
if type(value) != BuiltinMethodType:
new_context[attr] = value
return new_context
python类BuiltinMethodType()的实例源码
def _r_ha(self, attr):
try:
attr = getattr(self.delegate or self,attr)
if type(attr) in (UnboundMethodType, MethodType, BuiltinMethodType):
return 1 # method
except:
pass
return 2 # attribute
def inspect_format_method(callable):
if not isinstance(callable, (types.MethodType,
types.BuiltinMethodType)) or \
callable.__name__ != 'format':
return None
obj = callable.__self__
if isinstance(obj, string_types):
return obj
def _randbelow(self, n, _log=_log, _int=int, _maxwidth=1L<<BPF,
_Method=_MethodType, _BuiltinMethod=_BuiltinMethodType):
"""Return a random int in the range [0,n)
Handles the case where n has more bits than returned
by a single call to the underlying generator.
"""
try:
getrandbits = self.getrandbits
except AttributeError:
pass
else:
# Only call self.getrandbits if the original random() builtin method
# has not been overridden or if a new getrandbits() was supplied.
# This assures that the two methods correspond.
if type(self.random) is _BuiltinMethod or type(getrandbits) is _Method:
k = _int(1.00001 + _log(n-1, 2.0)) # 2**k > n-1 > 2**(k-2)
r = getrandbits(k)
while r >= n:
r = getrandbits(k)
return r
if n >= _maxwidth:
_warn("Underlying random() generator does not supply \n"
"enough bits to choose from a population range this large")
return _int(self.random() * n)
## -------------------- sequence methods -------------------
def _randbelow(self, n, _log=_log, _int=int, _maxwidth=1L<<BPF,
_Method=_MethodType, _BuiltinMethod=_BuiltinMethodType):
"""Return a random int in the range [0,n)
Handles the case where n has more bits than returned
by a single call to the underlying generator.
"""
try:
getrandbits = self.getrandbits
except AttributeError:
pass
else:
# Only call self.getrandbits if the original random() builtin method
# has not been overridden or if a new getrandbits() was supplied.
# This assures that the two methods correspond.
if type(self.random) is _BuiltinMethod or type(getrandbits) is _Method:
k = _int(1.00001 + _log(n-1, 2.0)) # 2**k > n-1 > 2**(k-2)
r = getrandbits(k)
while r >= n:
r = getrandbits(k)
return r
if n >= _maxwidth:
_warn("Underlying random() generator does not supply \n"
"enough bits to choose from a population range this large")
return _int(self.random() * n)
## -------------------- sequence methods -------------------
def inspect_format_method(callable):
if not isinstance(callable, (types.MethodType,
types.BuiltinMethodType)) or \
callable.__name__ != 'format':
return None
obj = callable.__self__
if isinstance(obj, string_types):
return obj
def inspect_format_method(callable):
if not isinstance(callable, (types.MethodType,
types.BuiltinMethodType)) or \
callable.__name__ != 'format':
return None
obj = callable.__self__
if isinstance(obj, string_types):
return obj
def inspect_format_method(callable):
if not isinstance(callable, (types.MethodType,
types.BuiltinMethodType)) or \
callable.__name__ != 'format':
return None
obj = callable.__self__
if isinstance(obj, string_types):
return obj
def inspect_format_method(callable):
if not isinstance(callable, (types.MethodType,
types.BuiltinMethodType)) or \
callable.__name__ != 'format':
return None
obj = callable.__self__
if isinstance(obj, string_types):
return obj
def _randbelow(self, n, int=int, maxsize=1<<BPF, type=type,
Method=_MethodType, BuiltinMethod=_BuiltinMethodType):
"Return a random int in the range [0,n). Raises ValueError if n==0."
getrandbits = self.getrandbits
# Only call self.getrandbits if the original random() builtin method
# has not been overridden or if a new getrandbits() was supplied.
if type(self.random) is BuiltinMethod or type(getrandbits) is Method:
k = n.bit_length() # don't use (n-1) here because n can be 1
r = getrandbits(k) # 0 <= r < 2**k
while r >= n:
r = getrandbits(k)
return r
# There's an overriden random() method but no new getrandbits() method,
# so we can only use random() from here.
random = self.random
if n >= maxsize:
_warn("Underlying random() generator does not supply \n"
"enough bits to choose from a population range this large.\n"
"To remove the range limitation, add a getrandbits() method.")
return int(random() * n)
rem = maxsize % n
limit = (maxsize - rem) / maxsize # int(limit * maxsize) % n == 0
r = random()
while r >= limit:
r = random()
return int(r*maxsize) % n
## -------------------- sequence methods -------------------
def _randbelow(self, n, int=int, maxsize=1<<BPF, type=type,
Method=_MethodType, BuiltinMethod=_BuiltinMethodType):
"Return a random int in the range [0,n). Raises ValueError if n==0."
random = self.random
getrandbits = self.getrandbits
# Only call self.getrandbits if the original random() builtin method
# has not been overridden or if a new getrandbits() was supplied.
if type(random) is BuiltinMethod or type(getrandbits) is Method:
k = n.bit_length() # don't use (n-1) here because n can be 1
r = getrandbits(k) # 0 <= r < 2**k
while r >= n:
r = getrandbits(k)
return r
# There's an overridden random() method but no new getrandbits() method,
# so we can only use random() from here.
if n >= maxsize:
_warn("Underlying random() generator does not supply \n"
"enough bits to choose from a population range this large.\n"
"To remove the range limitation, add a getrandbits() method.")
return int(random() * n)
rem = maxsize % n
limit = (maxsize - rem) / maxsize # int(limit * maxsize) % n == 0
r = random()
while r >= limit:
r = random()
return int(r*maxsize) % n
## -------------------- sequence methods -------------------
def inspect_format_method(callable):
if not isinstance(callable, (types.MethodType,
types.BuiltinMethodType)) or \
callable.__name__ != 'format':
return None
obj = callable.__self__
if isinstance(obj, string_types):
return obj
def inspect_format_method(callable):
if not isinstance(callable, (types.MethodType,
types.BuiltinMethodType)) or \
callable.__name__ != 'format':
return None
obj = callable.__self__
if isinstance(obj, string_types):
return obj
def _randbelow(self, n, int=int, maxsize=1<<BPF, type=type,
Method=_MethodType, BuiltinMethod=_BuiltinMethodType):
"Return a random int in the range [0,n). Raises ValueError if n==0."
random = self.random
getrandbits = self.getrandbits
# Only call self.getrandbits if the original random() builtin method
# has not been overridden or if a new getrandbits() was supplied.
if type(random) is BuiltinMethod or type(getrandbits) is Method:
k = n.bit_length() # don't use (n-1) here because n can be 1
r = getrandbits(k) # 0 <= r < 2**k
while r >= n:
r = getrandbits(k)
return r
# There's an overridden random() method but no new getrandbits() method,
# so we can only use random() from here.
if n >= maxsize:
_warn("Underlying random() generator does not supply \n"
"enough bits to choose from a population range this large.\n"
"To remove the range limitation, add a getrandbits() method.")
return int(random() * n)
rem = maxsize % n
limit = (maxsize - rem) / maxsize # int(limit * maxsize) % n == 0
r = random()
while r >= limit:
r = random()
return int(r*maxsize) % n
## -------------------- sequence methods -------------------
def _randbelow(self, n, _log=_log, _int=int, _maxwidth=1L<<BPF,
_Method=_MethodType, _BuiltinMethod=_BuiltinMethodType):
"""Return a random int in the range [0,n)
Handles the case where n has more bits than returned
by a single call to the underlying generator.
"""
try:
getrandbits = self.getrandbits
except AttributeError:
pass
else:
# Only call self.getrandbits if the original random() builtin method
# has not been overridden or if a new getrandbits() was supplied.
# This assures that the two methods correspond.
if type(self.random) is _BuiltinMethod or type(getrandbits) is _Method:
k = _int(1.00001 + _log(n-1, 2.0)) # 2**k > n-1 > 2**(k-2)
r = getrandbits(k)
while r >= n:
r = getrandbits(k)
return r
if n >= _maxwidth:
_warn("Underlying random() generator does not supply \n"
"enough bits to choose from a population range this large")
return _int(self.random() * n)
## -------------------- sequence methods -------------------
def _randbelow(self, n, _log=_log, _int=int, _maxwidth=1L<<BPF,
_Method=_MethodType, _BuiltinMethod=_BuiltinMethodType):
"""Return a random int in the range [0,n)
Handles the case where n has more bits than returned
by a single call to the underlying generator.
"""
try:
getrandbits = self.getrandbits
except AttributeError:
pass
else:
# Only call self.getrandbits if the original random() builtin method
# has not been overridden or if a new getrandbits() was supplied.
# This assures that the two methods correspond.
if type(self.random) is _BuiltinMethod or type(getrandbits) is _Method:
k = _int(1.00001 + _log(n-1, 2.0)) # 2**k > n-1 > 2**(k-2)
r = getrandbits(k)
while r >= n:
r = getrandbits(k)
return r
if n >= _maxwidth:
_warn("Underlying random() generator does not supply \n"
"enough bits to choose from a population range this large")
return _int(self.random() * n)
## -------------------- sequence methods -------------------
def _randbelow(self, n, int=int, maxsize=1<<BPF, type=type,
Method=_MethodType, BuiltinMethod=_BuiltinMethodType):
"Return a random int in the range [0,n). Raises ValueError if n==0."
random = self.random
getrandbits = self.getrandbits
# Only call self.getrandbits if the original random() builtin method
# has not been overridden or if a new getrandbits() was supplied.
if type(random) is BuiltinMethod or type(getrandbits) is Method:
k = n.bit_length() # don't use (n-1) here because n can be 1
r = getrandbits(k) # 0 <= r < 2**k
while r >= n:
r = getrandbits(k)
return r
# There's an overridden random() method but no new getrandbits() method,
# so we can only use random() from here.
if n >= maxsize:
_warn("Underlying random() generator does not supply \n"
"enough bits to choose from a population range this large.\n"
"To remove the range limitation, add a getrandbits() method.")
return int(random() * n)
rem = maxsize % n
limit = (maxsize - rem) / maxsize # int(limit * maxsize) % n == 0
r = random()
while r >= limit:
r = random()
return int(r*maxsize) % n
## -------------------- sequence methods -------------------
def handleHello(self, objname):
'''
Hello messages are used to get the initial cache of
method names for the newly connected object.
'''
if verbose: print("GOT A HELLO")
obj = self.server.getSharedObject(objname)
ret = {}
for name in dir(obj):
if type(getattr(obj,name)) in (types.MethodType, types.BuiltinMethodType):
ret[name] = True
self.send_response(http.client.OK)
self.end_headers()
self.wfile.write(json.dumps(ret))
return
def _randbelow(self, n, _log=_log, _int=int, _maxwidth=1L<<BPF,
_Method=_MethodType, _BuiltinMethod=_BuiltinMethodType):
"""Return a random int in the range [0,n)
Handles the case where n has more bits than returned
by a single call to the underlying generator.
"""
try:
getrandbits = self.getrandbits
except AttributeError:
pass
else:
# Only call self.getrandbits if the original random() builtin method
# has not been overridden or if a new getrandbits() was supplied.
# This assures that the two methods correspond.
if type(self.random) is _BuiltinMethod or type(getrandbits) is _Method:
k = _int(1.00001 + _log(n-1, 2.0)) # 2**k > n-1 > 2**(k-2)
r = getrandbits(k)
while r >= n:
r = getrandbits(k)
return r
if n >= _maxwidth:
_warn("Underlying random() generator does not supply \n"
"enough bits to choose from a population range this large")
return _int(self.random() * n)
## -------------------- sequence methods -------------------
def inspect_format_method(callable):
if not isinstance(callable, (types.MethodType,
types.BuiltinMethodType)) or \
callable.__name__ != 'format':
return None
obj = callable.__self__
if isinstance(obj, string_types):
return obj
