Python builtins.callable方法代碼示例

# 需要導入模塊: import builtins [as 別名]
# 或者: from builtins import callable [as 別名]
def pow(x, y, z=_SENTINEL):
        """
        pow(x, y[, z]) -> number

        With two arguments, equivalent to x**y.  With three arguments,
        equivalent to (x**y) % z, but may be more efficient (e.g. for ints).
        """
        # Handle newints
        if isinstance(x, newint):
            x = long(x)
        if isinstance(y, newint):
            y = long(y)
        if isinstance(z, newint):
            z = long(z)

        try:
            if z == _SENTINEL:
                return _builtin_pow(x, y)
            else:
                return _builtin_pow(x, y, z)
        except ValueError:
            if z == _SENTINEL:
                return _builtin_pow(x+0j, y)
            else:
                return _builtin_pow(x+0j, y, z)

    # ``future`` doesn't support Py3.0/3.1. If we ever did, we'd add this:
    #     callable = __builtin__.callable 

# 需要導入模塊: import builtins [as 別名]
# 或者: from builtins import callable [as 別名]
def callable(obj):
        if hasattr(obj, '__call__'): return True
        if isinstance(obj, (ClassType, type)): return True
        return False 

# 需要導入模塊: import builtins [as 別名]
# 或者: from builtins import callable [as 別名]
def pow(x, y, z=_SENTINEL):
        """
        pow(x, y[, z]) -> number

        With two arguments, equivalent to x**y.  With three arguments,
        equivalent to (x**y) % z, but may be more efficient (e.g. for ints).
        """
        # Handle newints
        if isinstance(x, newint):
            x = long(x)
        if isinstance(y, newint):
            y = long(y)
        if isinstance(z, newint):
            z = long(z)

        try:
            if z == _SENTINEL:
                return _builtin_pow(x, y)
            else:
                return _builtin_pow(x, y, z)
        except ValueError:
            if z == _SENTINEL:
                return _builtin_pow(x+0j, y)
            else:
                return _builtin_pow(x+0j, y, z)


    # ``future`` doesn't support Py3.0/3.1. If we ever did, we'd add this:
    #     callable = __builtin__.callable 

# 需要導入模塊: import builtins [as 別名]
# 或者: from builtins import callable [as 別名]
def callable(obj):
        return isinstance(obj, Callable) 

# 需要導入模塊: import builtins [as 別名]
# 或者: from builtins import callable [as 別名]
def __getattr__(self, attr):
        proxy = self.__proxy
        if proxy and hasattr(proxy, attr):
            return getattr(proxy, attr)
        attrmap = self.__attrmap
        if attr in attrmap:
            source = attrmap[attr]
            if callable(source):
                value = source()
            else:
                value = _import_object(source)
            setattr(self, attr, value)
            self.__log.debug("loaded lazy attr %r: %r", attr, value)
            return value
        raise AttributeError("'module' object has no attribute '%s'" % (attr,)) 

# 需要導入模塊: import builtins [as 別名]
# 或者: from builtins import callable [as 別名]
def evaluate_dependencies(self, context, callback=None):
        """
        Evaluate the dependencies of this operation and discard the values.

        Parameters
        ----------
        context : dict
            Normalised context in which to evaluate the operation.
        callback : callable or None
            Callback to be evaluated when an operation is evaluated.
        """
        for operation in self.dependencies:
            operation.evaluate(context, callback) 

# 需要導入模塊: import builtins [as 別名]
# 或者: from builtins import callable [as 別名]
def evaluate(self, context, callback=None):
        """
        Evaluate the operation given a context.

        Parameters
        ----------
        context : dict
            Normalised context in which to evaluate the operation.
        callback : callable or None
            Callback to be evaluated when an operation is evaluated.

        Returns
        -------
        value : object
            Output of the operation given the context.
        """
        # Evaluate all explicit dependencies first
        self.evaluate_dependencies(context, callback)

        if self in context:
            return context[self]
        # Evaluate the parents
        partial = functools.partial(self.evaluate_operation, context=context, callback=callback)
        args = [partial(arg) for arg in self.args]
        kwargs = {key: partial(value) for key, value in self.kwargs.items()}
        # Evaluate the operation
        callback = callback or _noop_callback
        with callback(self, context):
            context[self] = value = self._evaluate(*args, **kwargs)
        return value 

# 需要導入模塊: import builtins [as 別名]
# 或者: from builtins import callable [as 別名]
def call(func, *args, **kwargs):
    """
    Call `func` with positional arguments `args` and keyword arguments `kwargs`.

    Parameters
    ----------
    func : callable
        Function to call when the operation is executed.
    args : list
        Sequence of positional arguments passed to `func`.
    kwargs : dict
        Mapping of keyword arguments passed to `func`.
    """
    return func(*args, **kwargs) 

# 需要導入模塊: import builtins [as 別名]
# 或者: from builtins import callable [as 別名]
def __init__(self, callable):
        self._callable = callable 

# 需要導入模塊: import builtins [as 別名]
# 或者: from builtins import callable [as 別名]
def test_Callable_OK():  # TODO: What's going wrong here?
    assert callable(foo_Callable)
    # Not even one of the following works:
    foo_Callable(lambda: foo_Callable)
    foo_Callable(lambda x: 2*x)
    foo_Callable(builtins.callable)
    foo_Callable(builtins.dict)
    foo_Callable(builtins.len)
    foo_Callable(foo_Callable)


############################################################################
# _Protocol

# is handled by TypeChecker without special code, so we do not test them all 

# 需要導入模塊: import builtins [as 別名]
# 或者: from builtins import callable [as 別名]
def apply(self, fetches, context=None, *, callback=None, **kwargs):
        """
        Evaluate one or more operations given a context.

        .. note::
           This function modifies the context in place. Use :code:`context=context.copy()` to avoid
           the context being modified.

        Parameters
        ----------
        fetches : list[str or Operation] or str or Operation
            One or more `Operation` instances or names to evaluate.
        context : dict or None
            Context in which to evaluate the operations.
        callback : callable or None
            Callback to be evaluated when an operation is evaluated.
        kwargs : dict
            Additional context information keyed by variable name.

        Returns
        -------
        values : tuple[object]
            Output of the operations given the context.

        Raises
        ------
        ValueError
            If `fetches` is not an `Operation` instance, operation name, or a sequence thereof.
        ValueError
            If `context` is not a mapping.
        """
        if isinstance(fetches, (str, Operation)):
            fetches = [fetches]
            single = True
        elif isinstance(fetches, collections.Sequence):
            single = False
        else:
            raise ValueError("`fetches` must be an `Operation` instance, operation name, or a "
                             "sequence thereof.")

        fetches = [self.normalize_operation(operation) for operation in fetches]
        context = self.normalize_context(context, **kwargs)
        values = [fetch.evaluate_operation(fetch, context, callback=callback) for fetch in fetches]
        return values[0] if single else tuple(values)