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...Callable)->Optional[Callable] def insert_marker(code: CodeType, offset: Event, marker_id=0: range(256))->None def remove_marker(code: CodeType, offset: Event)->None Backwards Compatibility This PEP is fully backwards compatible, in the sense that old code will work if the features of this PEP are unused. However, if it is used it will effectively disable sys.settrace, sys.setprofile and PEP 523 frame evaluation. If PEP 523 is in use, or sys.settrace or sys.setprofile has been set, ...
...Callable object that returns counter blocks (see below; CTR mode only) rounds Number of rounds of encryption to use segment_size Size of data and ciphertext segments, measured in bits (see below; CFB mode only) The Counter feedback mode requires a sequence of input blocks, called counters, that are used to produce the output. When 'mode' is MODE_CTR, the 'counter' keyword argument must be provided, and its value must be a callable object, such as a function or method. Successive calls to t...
...callable from Java it is callable from JPython.)
...callable. In this case, sys.breakpointhook() imports the some.importable module and gets the callable object from the resulting module, which it then calls. The value may be a string with no dots, in which case it names a built-in callable, e.g. PYTHONBREAKPOINT=int. (Guido has expressed the preference for normal Python dotted-paths, not setuptools-style entry point syntax [syntax].) This environment variable allows external processes to control how breakpoints are handled. Some uses cases ...
...CallableAttribute: def foo(self) -> int: ... # Accepted (treated as an @property returning the Callable type) bar: Callable[[Self], int] = foo class HasNestedFunction: x: int = 42 def foo(self) -> None: # Accepted (Self is bound to HasNestedFunction). def nested(z: int, inner_self: Self) -> Self: print(z) print(inner_self.x) return inner_self nested(42, self) # OK class Outer: class Inner: ...
...callable or code object and guards is a list of PyFuncGuard objects. Raise an exception and return NULL on error. PyFunction_GetSpecializedCode Add a function method checking guards to choose a specialized code: PyObject* PyFunction_GetSpecializedCode(PyObject *func, PyObject **stack, int na, int nk) See check() function of guards for stack, na and nk arguments. Return a callable or a code object on success. Rais...
...callable, because the tp_call slot is set in PyType_Type (the metatype); the function looks for the tp_new slot of the type that is being called. Explanation: the tp_call slot of a regular type object (such as PyInt_Type or PyList_Type) defines what happens when instances of that type are called; in particular, the tp_call slot in the function type, PyFunction_Type, is the key to making functions callable. As another example, PyInt_Type.tp_call is NULL, because integers are not callable. The n...
...callable object. The result of calling this object with the result of the interactively entered expression should be print-able, and this is what will be printed on sys.stdout. Solution The bytecode PRINT_EXPR will call sys.displayhook(POP()). A displayhook() will be added to the sys builtin module, which is equivalent to: import __builtin__ def displayhook(o): if o is None: return __builtin__._ = None print `o` __builtin__._ = o Jython Issues The method Py.printRes...
...callable, sentinel) returns a special kind of iterator that calls the callable to produce a new value, and compares the return value to the sentinel value. If the return value equals the sentinel, this signals the end of the iteration and StopIteration is raised rather than returning normal; if the return value does not equal the sentinel, it is returned as the next value from the iterator. If the callable raises an exception, this is propagated normally; in particular, the function is allowed...
...callable, but if the callable is not a bound method, then method __copy__ will fail). But the use case is for the purpose of generating random streams, as in: import random def show5(it): for i, result in enumerate(it): print '%6.3f'%result, if i==4: break print normit = RandomIterator(random.Random().gauss, 0, 1) show5(normit) copit = normit.__copy__() show5(normit) show5(copit) which will display some output such as: -0.536 1.936 -1.182 -1.690 -1.184 0.666 -0.70...
...callables, which will be checked in sequence to determine if they can handle a given path item. The callable is called with one argument, the path item. The callable must raise ImportError if it is unable to handle the path item, and return an importer object if it can handle the path item. Note that if the callable returns an importer object for a specific sys.path entry, the builtin import machinery will not be invoked to handle that entry any longer, even if the importer object later fails...
...Callable Type variable tuples can also be used in the arguments section of a Callable: class Process: def __init__( self, target: Callable[[*Ts], None], args: Tuple[*Ts], ) -> None: ... def func(arg1: int, arg2: str) -> None: ... Process(target=func, args=(0, 'foo')) # Valid Process(target=func, args=('foo', 0)) # Error Other types and normal type variables can also be prefixed/suffixed to the type variable tuple: T = TypeVar('T') def foo(f: Callable[[int, *Ts, T], ...
...callable or even a completely separate object composed by the protocol, but it could also be implemented by subclassing (as is the case with Twisted's LineReceiver). For the other direction, the protocol could have a write_line method, which adds the required \r\n and passes the new bytes buffer on to the transport. This PEP suggests a generalized LineReceiver called ChunkProtocol, where a "chunk" is a message in a stream, delimited by the specified delimiter. Instances take a delimiter and a ...
...callable type. This does not change, however in order to fully exploit all of the new features the metaclass will need to have an extra attribute which is used during class pre-construction. This attribute is named __prepare__, which is invoked as a function before the evaluation of the class body. The __prepare__ function takes two positional arguments, and an arbitrary number of keyword arguments. The two positional arguments are: name the name of the class being created. bases the list...
...callable argument and returns a newly created, synchronized, callable "wrapper" around the argument. Summary of Proposed Changes to Python Adding new 'synchronize' and 'asynchronize' keywords to the language. Risks This PEP proposes adding two keywords to the Python language. This may break code. There is no implementation to test. It's not the most important problem facing Python programmers today (although it is a fairly notorious one). The equivalent Java keyword is the past participle 's...
...Callable[..., TypeGuard[int]] is not assignable to Callable[..., bool]. When TypeGuard is used to annotate the return type of a function or method that accepts at least one parameter, that function or method is treated by type checkers as a user-defined type guard. The type argument provided for TypeGuard indicates the type that has been validated by the function. User-defined type guards can be generic functions, as shown in this example: _T = TypeVar("_T") def is_two_element_tuple(val: Tuple...
...callables that accept a single argument, as do many of the itertools operations). Making noop() a useful default function in those cases just needs the definition to be: def noop(*args, **kwds): return args[0] if args else None The counterargument to the counterargument is that using None as the default in all these cases is going to be faster, since it lets the algorithm skip the callback entirely, rather than calling it and having it do nothing useful. References [1]https://github...
...Callable[..., Any], ...] = (), ) -> Callable[[_T], _T]: ... eq_default indicates whether the eq parameter is assumed to be True or False if it is omitted by the caller. If not specified, eq_default will default to True (the default assumption for dataclass). order_default indicates whether the order parameter is assumed to be True or False if it is omitted by the caller. If not specified, order_default will default to False (the default assumption for dataclass). kw_only_default indicates w...
...callable as standalone scripts. This PEP proposes that a special function called __main__() should serve this purpose. Motivation There should be one simple and universal idiom for invoking a module as a standalone script. The semi-standard idiom: if __name__ == '__main__': perform "standalone" functionality is unclear to programmers of languages like C and C++. It also does not permit invocation of the standalone function when the module is imported. The variant: if __name__ == '__m...
...callable object defining that PyCCallDef. An earlier version of this PEP defined a flag CCALL_FUNCARG instead of CCALL_DEFARG which would pass the callable object to the callee. This had similar use cases, but there was some ambiguity for bound methods: should the "callable object" be the bound method object or the original function wrapped by the method? By passing the PyCCallDef * instead, this ambiguity is gone since the bound method uses the PyCCallDef * from the wrapped function. Replaci...