Add google-endpoints to third_party/.

third_party/google-endpoints/past/utils/__init__.py

Index: third_party/google-endpoints/past/utils/__init__.py
diff --git a/third_party/google-endpoints/past/utils/__init__.py b/third_party/google-endpoints/past/utils/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..02f06d5957a70e0187650ba6f6e188c0b2903e72
--- /dev/null
+++ b/third_party/google-endpoints/past/utils/__init__.py
@@ -0,0 +1,97 @@
+"""
+Various non-built-in utility functions and definitions for Py2
+compatibility in Py3.
+
+For example:
+
+    >>> # The old_div() function behaves like Python 2's / operator
+    >>> # without "from __future__ import division"
+    >>> from past.utils import old_div
+    >>> old_div(3, 2)    # like 3/2 in Py2
+    0
+    >>> old_div(3, 2.0)  # like 3/2.0 in Py2
+    1.5
+"""
+
+import sys
+import numbers
+
+PY3 = sys.version_info[0] == 3
+PY2 = sys.version_info[0] == 2
+PYPY = hasattr(sys, 'pypy_translation_info')
+
+
+def with_metaclass(meta, *bases):
+    """
+    Function from jinja2/_compat.py. License: BSD.
+
+    Use it like this::
+        
+        class BaseForm(object):
+            pass
+        
+        class FormType(type):
+            pass
+        
+        class Form(with_metaclass(FormType, BaseForm)):
+            pass
+
+    This requires a bit of explanation: the basic idea is to make a
+    dummy metaclass for one level of class instantiation that replaces
+    itself with the actual metaclass.  Because of internal type checks
+    we also need to make sure that we downgrade the custom metaclass
+    for one level to something closer to type (that's why __call__ and
+    __init__ comes back from type etc.).
+    
+    This has the advantage over six.with_metaclass of not introducing
+    dummy classes into the final MRO.
+    """
+    class metaclass(meta):
+        __call__ = type.__call__
+        __init__ = type.__init__
+        def __new__(cls, name, this_bases, d):
+            if this_bases is None:
+                return type.__new__(cls, name, (), d)
+            return meta(name, bases, d)
+    return metaclass('temporary_class', None, {})
+
+
+def native(obj):
+    """
+    On Py2, this is a no-op: native(obj) -> obj
+
+    On Py3, returns the corresponding native Py3 types that are
+    superclasses for forward-ported objects from Py2:
+    
+    >>> from past.builtins import str, dict
+
+    >>> native(str(b'ABC'))   # Output on Py3 follows. On Py2, output is 'ABC'
+    b'ABC'
+    >>> type(native(str(b'ABC')))
+    bytes
+
+    Existing native types on Py3 will be returned unchanged:
+
+    >>> type(native(b'ABC'))
+    bytes
+    """
+    if hasattr(obj, '__native__'):
+        return obj.__native__()
+    else:
+        return obj
+
+
+# An alias for future.utils.old_div():
+def old_div(a, b):
+    """
+    Equivalent to ``a / b`` on Python 2 without ``from __future__ import
+    division``.
+
+    TODO: generalize this to other objects (like arrays etc.)
+    """
+    if isinstance(a, numbers.Integral) and isinstance(b, numbers.Integral):
+        return a // b
+    else:
+        return a / b
+
+__all__ = ['PY3', 'PY2', 'PYPY', 'with_metaclass', 'native', 'old_div']