98 lines
2.6 KiB
Python
98 lines
2.6 KiB
Python
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"""
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Various non-built-in utility functions and definitions for Py2
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compatibility in Py3.
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For example:
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>>> # The old_div() function behaves like Python 2's / operator
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>>> # without "from __future__ import division"
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>>> from past.utils import old_div
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>>> old_div(3, 2) # like 3/2 in Py2
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0
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>>> old_div(3, 2.0) # like 3/2.0 in Py2
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1.5
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"""
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import sys
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import numbers
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PY3 = sys.version_info[0] >= 3
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PY2 = sys.version_info[0] == 2
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PYPY = hasattr(sys, 'pypy_translation_info')
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def with_metaclass(meta, *bases):
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"""
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Function from jinja2/_compat.py. License: BSD.
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Use it like this::
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class BaseForm(object):
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pass
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class FormType(type):
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pass
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class Form(with_metaclass(FormType, BaseForm)):
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pass
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This requires a bit of explanation: the basic idea is to make a
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dummy metaclass for one level of class instantiation that replaces
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itself with the actual metaclass. Because of internal type checks
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we also need to make sure that we downgrade the custom metaclass
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for one level to something closer to type (that's why __call__ and
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__init__ comes back from type etc.).
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This has the advantage over six.with_metaclass of not introducing
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dummy classes into the final MRO.
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"""
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class metaclass(meta):
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__call__ = type.__call__
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__init__ = type.__init__
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def __new__(cls, name, this_bases, d):
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if this_bases is None:
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return type.__new__(cls, name, (), d)
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return meta(name, bases, d)
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return metaclass('temporary_class', None, {})
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def native(obj):
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"""
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On Py2, this is a no-op: native(obj) -> obj
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On Py3, returns the corresponding native Py3 types that are
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superclasses for forward-ported objects from Py2:
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>>> from past.builtins import str, dict
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>>> native(str(b'ABC')) # Output on Py3 follows. On Py2, output is 'ABC'
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b'ABC'
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>>> type(native(str(b'ABC')))
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bytes
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Existing native types on Py3 will be returned unchanged:
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>>> type(native(b'ABC'))
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bytes
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"""
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if hasattr(obj, '__native__'):
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return obj.__native__()
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else:
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return obj
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# An alias for future.utils.old_div():
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def old_div(a, b):
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"""
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Equivalent to ``a / b`` on Python 2 without ``from __future__ import
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division``.
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TODO: generalize this to other objects (like arrays etc.)
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"""
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if isinstance(a, numbers.Integral) and isinstance(b, numbers.Integral):
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return a // b
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else:
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return a / b
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__all__ = ['PY3', 'PY2', 'PYPY', 'with_metaclass', 'native', 'old_div']
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