Source code for sympy.utilities.decorator

"""Useful utility decorators. """

from __future__ import print_function, division

import sys
import types
import inspect

from functools import update_wrapper

from sympy.core.decorators import wraps
from sympy.core.compatibility import class_types, get_function_globals, get_function_name, iterable

[docs]def threaded_factory(func, use_add): """A factory for ``threaded`` decorators. """ from sympy.core import sympify from sympy.matrices import MatrixBase @wraps(func) def threaded_func(expr, *args, **kwargs): if isinstance(expr, MatrixBase): return expr.applyfunc(lambda f: func(f, *args, **kwargs)) elif iterable(expr): try: return expr.__class__([func(f, *args, **kwargs) for f in expr]) except TypeError: return expr else: expr = sympify(expr) if use_add and expr.is_Add: return expr.__class__(*[ func(f, *args, **kwargs) for f in expr.args ]) elif expr.is_Relational: return expr.__class__(func(expr.lhs, *args, **kwargs), func(expr.rhs, *args, **kwargs)) else: return func(expr, *args, **kwargs) return threaded_func
[docs]def threaded(func): """Apply ``func`` to sub--elements of an object, including :class:`Add`. This decorator is intended to make it uniformly possible to apply a function to all elements of composite objects, e.g. matrices, lists, tuples and other iterable containers, or just expressions. This version of :func:`threaded` decorator allows threading over elements of :class:`Add` class. If this behavior is not desirable use :func:`xthreaded` decorator. Functions using this decorator must have the following signature:: @threaded def function(expr, *args, **kwargs): """ return threaded_factory(func, True)
[docs]def xthreaded(func): """Apply ``func`` to sub--elements of an object, excluding :class:`Add`. This decorator is intended to make it uniformly possible to apply a function to all elements of composite objects, e.g. matrices, lists, tuples and other iterable containers, or just expressions. This version of :func:`threaded` decorator disallows threading over elements of :class:`Add` class. If this behavior is not desirable use :func:`threaded` decorator. Functions using this decorator must have the following signature:: @xthreaded def function(expr, *args, **kwargs): """ return threaded_factory(func, False)
[docs]def conserve_mpmath_dps(func): """After the function finishes, resets the value of mpmath.mp.dps to the value it had before the function was run.""" import functools import mpmath def func_wrapper(*args, **kwargs): dps = mpmath.mp.dps try: return func(*args, **kwargs) finally: mpmath.mp.dps = dps func_wrapper = functools.update_wrapper(func_wrapper, func) return func_wrapper
[docs]class no_attrs_in_subclass(object): """Don't 'inherit' certain attributes from a base class >>> from sympy.utilities.decorator import no_attrs_in_subclass >>> class A(object): ... x = 'test' >>> A.x = no_attrs_in_subclass(A, A.x) >>> class B(A): ... pass >>> hasattr(A, 'x') True >>> hasattr(B, 'x') False """ def __init__(self, cls, f): self.cls = cls self.f = f def __get__(self, instance, owner=None): if owner == self.cls: if hasattr(self.f, '__get__'): return self.f.__get__(instance, owner) return self.f raise AttributeError
[docs]def doctest_depends_on(exe=None, modules=None, disable_viewers=None): """Adds metadata about the depenencies which need to be met for doctesting the docstrings of the decorated objects.""" pyglet = False if modules is not None and 'pyglet' in modules: pyglet = True def depends_on_deco(fn): fn._doctest_depends_on = dict(exe=exe, modules=modules, disable_viewers=disable_viewers, pyglet=pyglet) # once we drop py2.5 support and use class decorators this evaluates # to True if inspect.isclass(fn): fn._doctest_depdends_on = no_attrs_in_subclass(fn, fn._doctest_depends_on) return fn return depends_on_deco
[docs]def public(obj): """ Append ``obj``'s name to global ``__all__`` variable (call site). By using this decorator on functions or classes you achieve the same goal as by filling ``__all__`` variables manually, you just don't have to repeat yourself (object's name). You also know if object is public at definition site, not at some random location (where ``__all__`` was set). Note that in multiple decorator setup (in almost all cases) ``@public`` decorator must be applied before any other decorators, because it relies on the pointer to object's global namespace. If you apply other decorators first, ``@public`` may end up modifying the wrong namespace. Examples ======== >>> from sympy.utilities.decorator import public >>> __all__ Traceback (most recent call last): ... NameError: name '__all__' is not defined >>> @public ... def some_function(): ... pass >>> __all__ ['some_function'] """ if isinstance(obj, types.FunctionType): ns = get_function_globals(obj) name = get_function_name(obj) elif isinstance(obj, (type(type), class_types)): ns = sys.modules[obj.__module__].__dict__ name = obj.__name__ else: raise TypeError("expected a function or a class, got %s" % obj) if "__all__" not in ns: ns["__all__"] = [name] else: ns["__all__"].append(name) return obj
[docs]def memoize_property(storage): """Create a property, where the lookup is stored in ``storage``""" def decorator(method): name = method.__name__ def wrapper(self): if name not in storage: storage[name] = method(self) return storage[name] return property(update_wrapper(wrapper, method)) return decorator