This allows for e.g. Jedi to infer types (it checks the name).
It was only used to support Python 3.5.0/3.5.1, where this is is not
available in the `typing` module.
Ref: https://github.com/davidhalter/jedi/issues/1472
Uses `TYPE_CHECKING = False` in `_pytest.outcomes` to avoid having to
work around circular import.
Add some Python 3.8 type: ignores; all are already fixed in the next
mypy release, so can be removed once we upgrade.
Also move some flake8 ignores which seem to have changed places.
This is a useful utility to abstract the caching property idiom.
It is in compat.py since eventually it will be replaced by
functools.cached_property.
Fixes#6131.
attrs 19.2 deprecated cmp in favor of the dataclass-ish eq/order duo.
This causes deprecation warnings that in turn break some of the cool new deep
object comparisons. Since we at attrs expected this to be a problem, it shipped
with helpers to write backward and forward compatible code.
This PR uses that and avoids changed to minimal versions.
* Update setup.py requires and classifiers
* Drop Python 2.7 and 3.4 from CI
* Update docs dropping 2.7 and 3.4 support
* Fix mock imports and remove tests related to pypi's mock module
* Add py27 and 34 support docs to the sidebar
* Remove usage of six from tmpdir
* Remove six.PY* code blocks
* Remove sys.version_info related code
* Cleanup compat
* Remove obsolete safe_str
* Remove obsolete __unicode__ methods
* Remove compat.PY35 and compat.PY36: not really needed anymore
* Remove unused UNICODE_TYPES
* Remove Jython specific code
* Remove some Python 2 references from docs
Related to #5275
approx() was updated in 9f3122fe to work better with numpy arrays,
however at the same time the requirements were tightened from
requiring an Iterable to requiring a Sequence - the former being
tested only on interface, while the latter requires subclassing or
registration with the abc.
Since the ApproxSequence only used __iter__ and __len__ this commit
reduces the requirement to only what's used, and allows unregistered
Sequence-like containers to be used.
Since numpy arrays qualify for the new criteria, reorder the checks so
that generic sequences are checked for after numpy arrays.