transformations.py 文件源码

def __imul__(self, factor):
        """define ``self *= factor``.

        As a shortcut for::

            self = self.__imul__(factor)

        """
        try:
            if factor == 1:
                return self
        except: pass
        try:
            if (np.size(factor) == np.size(self.scaling) and
                    all(factor == 1)):
                return self
        except: pass
        if self.is_identity and np.size(self.scaling) == 1:
            self.scaling = np.ones(np.size(factor))
        self.is_identity = False
        self.scaling *= factor
        self.dim = np.size(self.scaling)
        return self