def copy_func(func: FunctionType, deep: bool = False) -> FunctionType:
"""Copy a function as a different object.
Args:
func: Function object to be copied.
deep: If ``True``, mutable attributes of ``func`` are deep-copied.
Returns:
Function as a different object from the original one.
"""
copied = FunctionType(
func.__code__,
func.__globals__,
func.__name__,
func.__defaults__,
func.__closure__,
)
# mutable attributes are copied by the given method
copier = deepcopy if deep else copy
copied.__annotations__ = copier(func.__annotations__)
copied.__dict__ = copier(func.__dict__)
copied.__kwdefaults__ = copier(func.__kwdefaults__)
# immutable attributes are not copied (just assigned)
copied.__doc__ = func.__doc__
copied.__module__ = func.__module__
copied.__name__ = func.__name__
copied.__qualname__ = func.__qualname__
return copied
def rename_function(fn, newname):
"""Create a copy of the function with a different name."""
co = fn.__code__
extra_args = []
if hasattr(co, "co_posonlyargcount"): # pragma: no cover
extra_args.append(co.co_posonlyargcount)
newcode = type(co)(
co.co_argcount,
*extra_args,
co.co_kwonlyargcount,
co.co_nlocals,
co.co_stacksize,
co.co_flags,
co.co_code,
co.co_consts,
co.co_names,
co.co_varnames,
co.co_filename,
newname,
co.co_firstlineno,
co.co_lnotab,
co.co_freevars,
co.co_cellvars,
)
new_fn = FunctionType(newcode, fn.__globals__, newname, fn.__defaults__,
fn.__closure__)
new_fn.__annotations__ = fn.__annotations__
return new_fn
def loads_function(s):
'''Restores a function serialized with :func:`dumps_function`.'''
if PY2:
name, code, globals_, defaults, closure, func_dict, doc = loads(s)
else:
name, code, globals_, defaults, closure, func_dict, doc, qualname, kwdefaults, annotations = loads(
s)
code = marshal.loads(code)
for k, v in globals_.items():
if isinstance(v, Module):
globals_[k] = v.mod
if closure is not None:
import ctypes
ctypes.pythonapi.PyCell_New.restype = ctypes.py_object
ctypes.pythonapi.PyCell_New.argtypes = [ctypes.py_object]
closure = tuple(ctypes.pythonapi.PyCell_New(c) for c in closure)
globals_['__builtins__'] = __builtins__
r = FunctionType(code, globals_, name, defaults, closure)
r.__dict__ = func_dict
r.__doc__ = doc
if not PY2:
r.__qualname__ = qualname
r.__kwdefaults__ = kwdefaults
r.__annotations__ = annotations
return r
def hax(target: T) -> T:
if isinstance(target, CodeType):
return cast(T, _hax(target))
if isinstance(target, FunctionType):
new = FunctionType(
_hax(target.__code__),
target.__globals__,
target.__name__,
target.__defaults__,
target.__closure__,
)
if target.__annotations__:
new.__annotations__ = target.__annotations__.copy()
if target.__kwdefaults__ is not None:
new.__kwdefaults__ = target.__kwdefaults__.copy()
if target.__dict__:
new.__dict__ = target.__dict__.copy()
return cast(T, new)
raise TypeError(f"HAX doesn't support this! Got type {type(target)!r}.")
def buildFunction(baseFunc, code=None, glbls=None,
name=None, defaults=None,
kwdefaults=None, closure=None,
annotations=None, doc=None, dct=None):
resf = None
def _f():
pass
if hasattr(_f, 'func_code'):
# Python 2.x
resf = FunctionType(code or baseFunc.func_code,
glbls or baseFunc.func_globals,
name or baseFunc.func_name,
defaults or baseFunc.func_defaults,
closure or baseFunc.func_closure)
resf.func_dict = dct or baseFunc.func_dict
resf.func_doc = doc or baseFunc.func_doc
else:
# Python 3.x
resf = FunctionType(code or baseFunc.__code__,
glbls or baseFunc.__globals__,
name or baseFunc.__name__,
defaults or baseFunc.__defaults__,
closure or baseFunc.__closure__)
resf.__kwdefaults__ = kwdefaults or baseFunc.__kwdefaults__
resf.__annotations__ = annotations or baseFunc.__annotations__
resf.__dict__ = dct or baseFunc.__dict__
resf.__doc__ = doc or baseFunc.__doc__
return resf
def get_object(self, g=None):
# try to load function back into its module:
if not self.module.startswith('__'):
__import__(self.module)
g = sys.modules[self.module].__dict__
if g is None:
g = {}
if self.defaults:
defaults = tuple(uncan(cfd, g) for cfd in self.defaults)
else:
defaults = None
if self.kwdefaults:
kwdefaults = uncan_dict(self.kwdefaults)
else:
kwdefaults = None
if self.annotations:
annotations = uncan_dict(self.annotations)
else:
annotations = {}
if self.closure:
closure = tuple(uncan(cell, g) for cell in self.closure)
else:
closure = None
newFunc = FunctionType(self.code, g, self.__name__, defaults, closure)
if kwdefaults:
newFunc.__kwdefaults__ = kwdefaults
if annotations:
newFunc.__annotations__ = annotations
return newFunc
def _update_function(oldfunc: FunctionType, newfunc: FunctionType):
"""Update a function object."""
logger.info(f"Patch function {oldfunc.__qualname__}")
oldfunc.__doc__ = newfunc.__doc__
oldfunc.__dict__.update(newfunc.__dict__)
oldfunc.__annotations__ = newfunc.__annotations__
oldfunc.__code__ = newfunc.__code__
oldfunc.__defaults__ = newfunc.__defaults__
def _function_constructor(code, fglobals, name, argdefs, closure, kwdefaults, fdict, annotations, qualname,
doc,
module):
func = FunctionType(code, fglobals, name, argdefs, closure)
func.__kwdefaults__ = kwdefaults
func.__dict__ = fdict
func.__annotations__ = annotations
func.__qualname__ = qualname
func.__doc__ = doc
func.__module__ = module
return func
def _copy_handler(self, f, kwargs):
fname = '_'.join(
getattr(v, 'name', v.__class__.__name__) for v in kwargs.values())
"""Creates a copy of the given handler and injects the kwargs as func variables"""
fn = FunctionType(f.__code__, f.__globals__, f'{f.__name__}_{fname}',
f.__defaults__, f.__closure__)
# in case f was given attrs (note this dict is a shallow copy):
fn.__dict__.update(f.__dict__)
# Inject the route kwargs
fn.__dict__.update(kwargs)
# Copy the type hints so Vibora can optimize stuff
fn.__annotations__ = f.__annotations__
return fn
def parameter_dependency_from_model(name: str, model_cls):
"""
Takes a pydantic model class as input and creates
a dependency with corresponding
Query parameter definitions that can be used for GET
requests.
This will only work, if the fields defined in the
input model can be turned into
suitable query parameters. Otherwise fastapi
will complain down the road.
Arguments:
name: Name for the dependency function.
model_cls: A ``BaseModel`` inheriting model class as input.
"""
names = []
annotations: Dict[str, type] = {}
defaults = []
for field_model in model_cls.__fields__.values():
if field_model.name not in ["self"]:
field_info = field_model.field_info
if field_model.name not in ignore_in_docs:
names.append(field_model.name)
annotations[field_model.name] = field_model.outer_type_
defaults.append(
Query(field_model.default,
description=field_info.description))
code = inspect.cleandoc("""
def %s(%s):
return %s(%s)
""" % (
name,
", ".join(names),
model_cls.__name__,
", ".join(["%s=%s" % (name, name) for name in names]),
))
compiled = compile(code, "string", "exec")
env = {model_cls.__name__: model_cls}
env.update(**globals())
func = FunctionType(compiled.co_consts[0], env, name)
func.__annotations__ = annotations
func.__defaults__ = (*defaults, )
return func
def copy_function(fn) -> Callable:
"""
Create a clone of a given function
:param fn: Function to copy
:return: New function with the same attributes but with different id
"""
"""Based on http://stackoverflow.com/a/6528148/190597 (Glenn Maynard)"""
g = FunctionType(
fn.__code__,
fn.__globals__,
name=fn.__name__,
argdefs=fn.__defaults__,
closure=fn.__closure__,
)
g.__kwdefaults__ = deepcopy(fn.__kwdefaults__)
g.__annotations__ = deepcopy(fn.__annotations__)
return g
def alias(name: str, doc: str, fun: Callable[_P, _T]) -> Callable[_P, _T]:
# Adapted from
# https://stackoverflow.com/questions/13503079/how-to-create-a-copy-of-a-python-function#
# See also help(type(lambda: 0))
_fun = cast(FunctionType, fun)
args = (_fun.__code__, _fun.__globals__)
kwargs = {
"name": name,
"argdefs": _fun.__defaults__,
"closure": _fun.__closure__
}
alias_ = FunctionType(*args, **kwargs) # type: ignore
alias_ = update_wrapper(alias_, _fun)
alias_.__kwdefaults__ = _fun.__kwdefaults__
alias_.__doc__ = doc
alias_.__annotations__ = _fun.__annotations__
return alias_
def loads_function(s):
'''Restores a function serialized with :func:`dumps_function`.'''
name, code, globals_, defaults, closure, func_dict, doc, qualname, kwdefaults, annotations = loads(s)
code = marshal.loads(code)
for k, v in globals_.items():
if isinstance(v, Module):
globals_[k] = v.mod
if closure is not None:
import ctypes
ctypes.pythonapi.PyCell_New.restype = ctypes.py_object
ctypes.pythonapi.PyCell_New.argtypes = [ctypes.py_object]
closure = tuple(ctypes.pythonapi.PyCell_New(c) for c in closure)
globals_['__builtins__'] = __builtins__
r = FunctionType(code, globals_, name, defaults, closure)
r.__dict__ = func_dict
r.__doc__ = doc
r.__qualname__ = qualname
r.__kwdefaults__ = kwdefaults
r.__annotations__ = annotations
return r
def compile_func(func_str: str) -> FunctionType:
"""Compile **func_str** into a :class:`code<types.CodeType>` instance."""
global_dict = {'np': np}
x = np.array([[0.0, np.nan], [np.inf, 5.0]])
func_str = func_str.replace('numpy', 'np')
# Load all module specified in **func_str**
while True:
try:
x.copy()
exec(func_str)
except NameError as ex:
module = str(ex).split("'")[1]
exec(f'import {module}')
global_dict[module] = eval(module)
else:
break
# Exchange all ';' characters for '\n'
str_list = func_str.split(';')
func_str2 = ''.join(f' {i.strip().rstrip()}\n' for i in str_list[:-1])
func_str2 += f' return {str_list[-1].strip().rstrip()}'
# Compile the code of the to-be returned function
code_compile = compile(f'def weight(x):\n{func_str2}', '<string>', 'exec')
for code in code_compile.co_consts:
if isinstance(code, CodeType):
break
else:
raise ValueError(
"Failed to find 'code' instance in 'code_compile.co_consts'")
# Construct and return the new function
func = FunctionType(code, globals=global_dict, name='weight')
func.__doc__ = f"Dynamically generated function; returns ``{func_str}``."
func.__annotations__ = {'x': np.ndarray, 'return': np.ndarray}
return func
def buildFunction(baseFunc,
code=None,
glbls=None,
name=None,
defaults=None,
kwdefaults=None,
closure=None,
annotations=None,
doc=None,
dct=None):
resf = None
def _f():
pass
if hasattr(_f, 'func_code'):
# Python 2.x
resf = FunctionType(code or baseFunc.func_code, glbls
or baseFunc.func_globals, name
or baseFunc.func_name, defaults
or baseFunc.func_defaults, closure
or baseFunc.func_closure)
resf.func_dict = dct or baseFunc.func_dict
resf.func_doc = doc or baseFunc.func_doc
else:
# Python 3.x
resf = FunctionType(code or baseFunc.__code__, glbls
or baseFunc.__globals__, name or baseFunc.__name__,
defaults or baseFunc.__defaults__, closure
or baseFunc.__closure__)
resf.__kwdefaults__ = kwdefaults or baseFunc.__kwdefaults__
resf.__annotations__ = annotations or baseFunc.__annotations__
resf.__dict__ = dct or baseFunc.__dict__
resf.__doc__ = doc or baseFunc.__doc__
return resf
def func2not_implemented(func):
sig_str = func2clean_signature_str(func)
if sig_str not in cache__sig_str2code:
code = signature_str2not_implemented_func(sig_str).__code__
cache__sig_str2code[sig_str] = code # code really depends on sig_str
#cache__not_implemented_codes.add(code)
#print('cache__not_implemented_codes', len(cache__not_implemented_codes))
else:
code = cache__sig_str2code[sig_str]
code_without_freevars = _replace_codestring(func.__code__, code)
new = FunctionType(code_without_freevars, globals())
new.__dict__.update(vars(func))
new.__defaults__ = func.__defaults__
new.__kwdefaults__ = func.__kwdefaults__
new.__doc__ = func.__doc__
new.__name__ = func.__name__
new.__qualname__ = func.__qualname__
new.__module__ = func.__module__
new.__annotations__ = func.__annotations__
new.__dict__ = dict(func.__dict__)
return new
set_func_not_implemented(func)
return func
def rebuild_func(
func,
cls=None,
*wrappers,
defaults_copy=None,
kwdefaults_copy=None,
dict_copy=None,
closure_copy=None,
global_ns=None,
name=None,
qualname=None,
module=False,
doc=False,
annotations=False,
):
"""Create a copy of `func` that can be used as a method by any `cls`
The main perk is giving a `cls` the ability to use *any* Python
`function` as a bound method, regardless of where it was defined.
In other words, it doesn't matter if a function was defined in the
global scope, another module, or in the body of another class.
Most importantly, functions that use zero-argument super will behave
exactly the same as if they had been defined in `cls`.
Unfortunately, there is one limitation.
Wrapped functions not defined in the scope of a class body will not
be able to use zero argument super. If they are wrapped *after*
being bound with this function, they should have no problem working
For convenience, any *wrappers provided will be applied after binding
in the same order as decorator syntax, top to bottom or right to left
ie. wrappers *(a, b ,c) will be equivalent to a(b(c(func)))
There are nearly limitless uses for this black magic, but some
good examples are the ability to make true deepcopies of functions,
changing default/kwonly defaults, and tricking functions into using
global references to objects not in the module it was defined in.
To simplify the application of making true deepcopies of functions,
which requires deepcopying of the original function's mutable
attributes: __defaults__, __kwdefaults__, __dict__, and __closure__,
the arguments `defaults_copy`, `kwdefaults_copy, `dict_copy`, and
`closure_copy`, respectively, accept a callable that takes a single
argument (the object to be copied) and returns an object of the
same type (and length if applicable) to the original.
If `defaults_copy` and `kwdefaults_copy` return None, the new
function will no longer have default values.
Otherwise, shallow copies of __defaults__, __kwdefaults__, and
__dict__ are used, along with a deepcopy of __closure__.
Parameters:
:: `defaults_copy`
called as defaults_copy(func.__defaults__) to replace
`func.__defaults__`, the attribute that stores a tuple
containing the default values of positional arguments.
Removes default positional arguments entirely if it returns None
:: `kwdefaults_copy`
called as kwdefaults_copy(func.__kwdefaults__) to replace
`func.__kwdefaults__`, the attribute that stores a mapping
containing the default values of keyword only arguments.
Removes default kwonly arguments entirely if it returns None
:: `dict_copy`
called as dict_copy(func.__dict__) to replace `func.__dict__`
:: `closure_copy`
called as closure_copy(func.__closure__) to replace
`func.__closure__`, the attribute that stores references
to any nonlocal names used by `func`
:: `global_ns`
used to replace func.__globals__
Will raise NameError if it doesn't contain all global references
used by `func`.
:: `name`
a string that replaces func.__name__
:: `qualname`
if None, will generate a new __qualname__ automatically,
which depends on the values in `name`, `func`, and `cls`
Otherwise, a string
:: `module`
can be any type and is used to replace `func.__module__`
:: `doc`
can be any type and is used to replace `func.__doc__`
:: `annotations`
None to clear or mapping to replace `func.__annotations__`
By default is a shallow copy of `func.__annotations__`
"""
# validate func
if not is_func(func):
raise TypeError('func must be function object')
else:
f = func
# validate cls
if cls is None:
class_was_not_none = False
elif not is_heap_type(cls):
raise TypeError('cls must be None or a Python class')
else:
class_was_not_none = True
# validate defaults_copy
defaults = f.__defaults__
if defaults_copy is None:
defaults = None if defaults is None else tuple_copy(defaults)
elif not callable(defaults_copy):
raise TypeError('defaults_copy must be a callable')
else:
defaults = defaults_copy(defaults)
# validate kwdefaults_copy
kwdefaults = f.__kwdefaults__
if kwdefaults_copy is None:
kwdefaults = None if kwdefaults is None else {**kwdefaults}
elif not callable(kwdefaults_copy):
raise TypeError('kwdefaults_copy must be a callable')
else:
kwdefaults = kwdefaults_copy(kwdefaults)
# validate dict_copy
new_dict = descriptor_getattr(f, '__dict__')
if dict_copy is None:
new_dict = {**new_dict}
elif not callable(dict_copy):
raise TypeError('dict_copy must be a callable')
else:
new_dict = dict_copy(new_dict)
# validate closure_copy
closure = f.__closure__
if closure_copy is None:
if is_tuple(closure):
closure = deepcopy_closure(closure)
elif not callable(closure_copy):
raise TypeError('closure_copy must be a callable')
else:
closure = closure_copy(closure)
# validate name
if name is None:
name = f.__name__
elif not is_str(name):
raise TypeError('function __name__ must be a string')
# validate qualname
if qualname is None:
qualname = f'{cls.__name__}.{name}' if class_was_not_none else name
elif not is_str(qualname):
raise TypeError('function __qualname__ must be a string')
# validate annotations
f_annotations = f.__annotations__
if annotations is False:
annotations = None if f_annotations is None else {**f_annotations}
elif not is_mapping(annotations):
raise TypeError('annotations must be None or a mapping')
# validate global_ns
sentinel = object()
if global_ns is None:
global_ns = f.__globals__
elif not is_dict(global_ns):
raise TypeError('function __globals__ must be a dict')
builtins = global_ns.get('__builtins__', sentinel)
if builtins is sentinel:
builtin_ns = {}
elif is_dict(builtins):
builtin_ns = builtins
# the only time __builtins__ can be a module is if it IS builtins
elif builtins is _builtins:
builtin_ns = builtins.__dict__
else:
raise TypeError('f.__globals__["__builtins__"] must be a dict'
f'or the "builtins" module, not {builtins!r}')
missing = set()
code = f.__code__
co_freevars = code.co_freevars
co_flags = code.co_flags
co_names = code.co_names
co_code = code.co_code
for co_name in co_names:
if iskeyword(co_name):
continue
ob = global_ns.get(co_name, sentinel)
if ob is sentinel:
ob = builtin_ns.get(co_name, sentinel)
if ob is sentinel:
if class_was_not_none and co_name == '__class__':
continue
missing.add(co_name)
module = f.__module__ if module is False else module
doc = f.__doc__ if doc is False else module
if class_was_not_none:
has_classcell = 'super' in co_names
# replace LOAD_GLOBAL('__class__') opcodes with LOAD_DEREF('__class__')
if '__class__' in co_names:
j = co_names.index('__class__')
#co_names = co_names[:j] + co_names[j+1:]
bytecode = bytearray(co_code)
for instr in dis.Bytecode(code):
if instr.opname == 'LOAD_GLOBAL' and instr.argval == '__class__':
has_classcell = True
closure = closure or ()
i = len(closure)
# if len(closure) >= 256,
# the LOAD_DEREF opcode will use EXTENDED_ARG
if i > 255:
repl = b'\x90\x01\x88' + i.to_bytes(3, 'little')
else:
repl = b'\x88' + i.to_bytes(1, 'little')
x = instr.offset
bytecode[x:x + 2] = repl
co_code = bytes(bytecode)
# only add a class cell if necessary
if has_classcell:
cell = build_class_cell(cls)
closure = closure or ()
# insert/replace the __class__ cell if it is already in freevars
if '__class__' in co_freevars:
i = co_freevars.index('__class__')
j = len(closure) == len(co_freevars)
closure = (*closure[:i], cell, *closure[i + j:])
# add if it doesn't
else:
co_freevars += ('__class__', )
closure += (cell, )
# ensure NOFREE flag is set if there are no frevars
if not co_freevars:
co_flags = (co_flags | NOFREE)
if f.__closure__ is not None:
raise TypeError('function closure was a tuple when its'
'code.co_freevars was empty')
# since python 3.6, the NOFREE flag actually does what it's
# supposed to do, so it must be unset to enable access of __closure__
else:
co_flags = (co_flags | NOFREE) ^ NOFREE
code = update_code(code,
freevars=co_freevars,
flags=co_flags,
names=co_names,
code=co_code)
method = FunctionType(code, global_ns, closure=closure)
method.__defaults__ = defaults
method.__kwdefaults__ = kwdefaults
method.__name__ = name
method.__qualname__ = qualname
method.__annotations__ = annotations
method.__module__ = module
method.__doc__ = doc
FunctionType.__dict__['__dict__'].__set__(method, new_dict)
for wrapper in reversed(wrappers):
method = wrapper(method)
return method
def check(func):
_globals_ = func.__globals__
temp = {}
old_annotations = {}
temp.update(func.__annotations__)
old_annotations.update(func.__annotations__)
typs = temp
ret = typs.pop('return')
_code_ = func.__code__
o_varnames = list(_code_.co_varnames)
o_names = list(_code_.co_names)
o_consts = list(_code_.co_consts)
n_consts = o_consts + list(set(list(typs.values()) + [ret])) + [typcheck]
#print( "new consts:",n_consts )
info = {}
for k, v in typs.items():
info[o_varnames.index(k)] = v
o_binlst = list(_code_.co_code)
o_argcount = _code_.co_argcount
mlst = []
n = o_argcount
for i in range(n):
mlst += [
opmap["LOAD_CONST"],
len(n_consts) - 1, opmap["LOAD_FAST"], i, opmap["LOAD_CONST"],
n_consts.index(info[i]), opmap["CALL_FUNCTION"], 2,
opmap["POP_TOP"], 0
]
jumps = [
opmap["POP_JUMP_IF_FALSE"], opmap["POP_JUMP_IF_TRUE"],
opmap["JUMP_IF_TRUE_OR_POP"], opmap["JUMP_IF_FALSE_OR_POP"],
opmap["JUMP_ABSOLUTE"]
]
jump_forward = opmap["JUMP_FORWARD"]
OffSet = len(mlst)
# ------------
# func ^ stack top
# result |
last = [
opmap["LOAD_CONST"],
len(n_consts) - 1,
opmap["ROT_TWO"],
0, # Swaps the two top-most stack items.
opmap["LOAD_CONST"],
n_consts.index(ret),
opmap["CALL_FUNCTION"],
2,
opmap["RETURN_VALUE"],
0
]
new_binlst = o_binlst
lset = len(last) - 2
old_addrs = list()
for i in range(len(o_binlst)):
if o_binlst[i] in jumps:
old_addrs += [o_binlst[i + 1]]
lst = new_binlst
for i in old_addrs:
new_binlst[i] = [-1, new_binlst[i]]
new_binlst[i + 1] = [-1, new_binlst[i + 1]]
acc = []
while lst:
op, arg = lst[0], lst[1]
if op == opmap["RETURN_VALUE"]:
acc += last
else:
acc += [op, arg]
lst = lst[2:]
new_binlst = mlst + acc
new_addrs = list()
for i in range(len(new_binlst)):
op = new_binlst[i]
if isinstance(op, list):
new_addrs += [i]
new_binlst[i] = new_binlst[i][1]
new_binlst[i + 1] = new_binlst[i + 1][1]
for i in range(len(new_binlst)):
op = new_binlst[i]
if op in jumps:
new_binlst[i + 1] = new_addrs[0]
new_addrs = new_addrs[1:]
lstbin = new_binlst
code = CodeType(
_code_.co_argcount, # argcount
_code_.co_kwonlyargcount, # kwonlyargcount
_code_.co_nlocals, # nlocals
_code_.co_stacksize, # stacksize
_code_.co_flags, # flags
bytes(lstbin), # codestring
tuple(n_consts), # consts
_code_.co_names, # names
_code_.co_varnames, # varnames
_code_.co_filename, # filename
_code_.co_name, # name
_code_.co_firstlineno, # firstlineno
_code_.co_lnotab, # lnotab
_code_.co_freevars, # freevars
_code_.co_cellvars, # cellvars
)
#dis.dis(code)
#dis.show_code(code)
#print( lstbin )
func = FunctionType(code, _globals_)
func.__annotations__ = old_annotations
return func
def make_function(
code: CodeType,
globals_: T.Any,
name: str,
signature: _FullerSig,
docstring: str = None,
closure: T.Any = None,
qualname: str = None,
# options
_add_signature: bool = False,
):
r"""Make a function with a specified signature and docstring.
This is pure python and may not make the fastest functions
Parameters
----------
code : code
the .__code__ method of a function
globals_ : Any
name : str
signature : Signature
inspect.Signature converted to utilipy.Signature
docstring : str
closure : Any
qualname : str
Returns
-------
function: Callable
the created function
Other Parameters
----------------
\_add_signature : bool
Whether to add `signature` as ``__signature__``.
.. todo::
check how signature and closure relate
__qualname__
"""
if not isinstance(signature, _FullerSig): # not my custom signature
signature = _FullerSig(
parameters=signature.parameters.values(),
return_annotation=signature.return_annotation,
# docstring=docstring # not yet implemented
)
# else:
# pass
# make function
function = FunctionType(
code, globals_, name=name, argdefs=signature.defaults, closure=closure
)
# assign properties not (properly) handled by FunctionType
function.__kwdefaults__ = signature.__kwdefaults__
function.__annotations__ = signature.__annotations__
function.__doc__ = docstring
if qualname is not None:
function.__qualname__ = qualname
if _add_signature:
function.__signature__ = signature.__signature__ # classical signature
return function
