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174: Scheduled weekly dependency update for week 00 r=mithrandi a=pyup-bot
## Updates
Here's a list of all the updates bundled in this pull request. I've added some links to make it easier for you to find all the information you need.
<table align="center">
<tr>
<td><b>asn1crypto</b></td>
<td align="center">0.23.0</td>
<td align="center">»</td>
<td align="center">0.24.0</td>
<td>
<a href="https://pypi.python.org/pypi/asn1crypto">PyPI</a> | <a href="https://pyup.io/changelogs/asn1crypto/">Changelog</a> | <a href="https://github.com/wbond/asn1crypto/issues">Repo</a>
</td>
<tr>
<td><b>attrs</b></td>
<td align="center">17.3.0</td>
<td align="center">»</td>
<td align="center">17.4.0</td>
<td>
<a href="https://pypi.python.org/pypi/attrs">PyPI</a> | <a href="https://pyup.io/changelogs/attrs/">Changelog</a> | <a href="http://www.attrs.org/">Homepage</a>
</td>
<tr>
<td><b>hypothesis</b></td>
<td align="center">3.40.1</td>
<td align="center">»</td>
<td align="center">3.44.4</td>
<td>
<a href="https://pypi.python.org/pypi/hypothesis">PyPI</a> | <a href="https://pyup.io/changelogs/hypothesis/">Changelog</a> | <a href="https://github.com/HypothesisWorks/hypothesis/issues">Repo</a>
</td>
<tr>
<td><b>ipaddress</b></td>
<td align="center">1.0.18</td>
<td align="center">»</td>
<td align="center">1.0.19</td>
<td>
<a href="https://pypi.python.org/pypi/ipaddress">PyPI</a> | <a href="https://github.com/phihag/ipaddress">Repo</a>
</td>
<tr>
<td><b>pyrsistent</b></td>
<td align="center">0.14.1</td>
<td align="center">»</td>
<td align="center">0.14.2</td>
<td>
<a href="https://pypi.python.org/pypi/pyrsistent">PyPI</a> | <a href="https://pyup.io/changelogs/pyrsistent/">Changelog</a> | <a href="http://github.com/tobgu/pyrsistent/">Repo</a>
</td>
<tr>
<td><b>toolz</b></td>
<td align="center">0.8.2</td>
<td align="center">»</td>
<td align="center">0.9.0</td>
<td>
<a href="https://pypi.python.org/pypi/toolz">PyPI</a> | <a href="https://github.com/pytoolz/toolz">Repo</a>
</td>
</tr>
</table>
## Changelogs
### asn1crypto 0.23.0 -> 0.24.0
>### 0.24.0
> - `x509.Certificate().self_signed` will no longer return `"yes"` under any
> circumstances. This helps prevent confusion since the library does not
> verify the signature. Instead a library like oscrypto should be used
> to confirm if a certificate is self-signed.
> - Added various OIDs to `x509.KeyPurposeId()`
> - Added `x509.Certificate().private_key_usage_period_value`
> - Added structures for parsing common subject directory attributes for
> X.509 certificates, including `x509.SubjectDirectoryAttribute()`
> - Added `algos.AnyAlgorithmIdentifier()` for situations where an
> algorithm identifier may contain a digest, signed digest or encryption
> algorithm OID
> - Fixed a bug with `x509.Certificate().subject_directory_attributes_value`
> not returning the correct value
> - Fixed a bug where explicitly-tagged fields in a `core.Sequence()` would
> not function properly when the field had a default value
> - Fixed a bug with type checking in `pem.armor()`
### attrs 17.3.0 -> 17.4.0
>### 17.4.0
>-------------------
>Backward-incompatible Changes
>^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
>- The traversal of MROs when using multiple inheritance was backward:
> If you defined a class ``C`` that subclasses ``A`` and ``B`` like ``C(A, B)``, ``attrs`` would have collected the attributes from ``B`` *before* those of ``A``.
> This is now fixed and means that in classes that employ multiple inheritance, the output of ``__repr__`` and the order of positional arguments in ``__init__`` changes.
> Due to the nature of this bug, a proper deprecation cycle was unfortunately impossible.
> Generally speaking, it's advisable to prefer ``kwargs``-based initialization anyways – *especially* if you employ multiple inheritance and diamond-shaped hierarchies.
> `298 <https://github.com/python-attrs/attrs/issues/298>`_,
> `299 <https://github.com/python-attrs/attrs/issues/299>`_,
> `304 <https://github.com/python-attrs/attrs/issues/304>`_
>- The ``__repr__`` set by ``attrs``
> no longer produces an ``AttributeError``
> when the instance is missing some of the specified attributes
> (either through deleting
> or after using ``init=False`` on some attributes).
> This can break code
> that relied on ``repr(attr_cls_instance)`` raising ``AttributeError``
> to check if any attr-specified members were unset.
> If you were using this,
> you can implement a custom method for checking this::
> def has_unset_members(self):
> for field in attr.fields(type(self)):
> try:
> getattr(self, field.name)
> except AttributeError:
> return True
> return False
> `308 <https://github.com/python-attrs/attrs/issues/308>`_
>Deprecations
>^^^^^^^^^^^^
>- The ``attr.ib(convert=callable)`` option is now deprecated in favor of ``attr.ib(converter=callable)``.
> This is done to achieve consistency with other noun-based arguments like *validator*.
> *convert* will keep working until at least January 2019 while raising a ``DeprecationWarning``.
> `307 <https://github.com/python-attrs/attrs/issues/307>`_
>Changes
>^^^^^^^
>- Generated ``__hash__`` methods now hash the class type along with the attribute values.
> Until now the hashes of two classes with the same values were identical which was a bug.
> The generated method is also *much* faster now.
> `261 <https://github.com/python-attrs/attrs/issues/261>`_,
> `295 <https://github.com/python-attrs/attrs/issues/295>`_,
> `296 <https://github.com/python-attrs/attrs/issues/296>`_
>- ``attr.ib``\ ’s ``metadata`` argument now defaults to a unique empty ``dict`` instance instead of sharing a common empty ``dict`` for all.
> The singleton empty ``dict`` is still enforced.
> `280 <https://github.com/python-attrs/attrs/issues/280>`_
>- ``ctypes`` is optional now however if it's missing, a bare ``super()`` will not work in slots classes.
> This should only happen in special environments like Google App Engine.
> `284 <https://github.com/python-attrs/attrs/issues/284>`_,
> `286 <https://github.com/python-attrs/attrs/issues/286>`_
>- The attribute redefinition feature introduced in 17.3.0 now takes into account if an attribute is redefined via multiple inheritance.
> In that case, the definition that is closer to the base of the class hierarchy wins.
> `285 <https://github.com/python-attrs/attrs/issues/285>`_,
> `287 <https://github.com/python-attrs/attrs/issues/287>`_
>- Subclasses of ``auto_attribs=True`` can be empty now.
> `291 <https://github.com/python-attrs/attrs/issues/291>`_,
> `292 <https://github.com/python-attrs/attrs/issues/292>`_
>- Equality tests are *much* faster now.
> `306 <https://github.com/python-attrs/attrs/issues/306>`_
>- All generated methods now have correct ``__module__``, ``__name__``, and (on Python 3) ``__qualname__`` attributes.
> `309 <https://github.com/python-attrs/attrs/issues/309>`_
>----
### hypothesis 3.40.1 -> 3.44.4
>### 3.44.4
>-------------------
>This release fixes :issue:`1044`, which slowed tests by up to 6%
>due to broken caching.
>-------------------
>### 3.44.3
>-------------------
>This release improves the shrinker in cases where examples drawn earlier can
>affect how much data is drawn later (e.g. when you draw a length parameter in
>a composite and then draw that many elements). Examples found in cases like
>this should now be much closer to minimal.
>-------------------
>### 3.44.2
>-------------------
>This is a pure refactoring release which changes how Hypothesis manages its
>set of examples internally. It should have no externally visible effects.
>-------------------
>### 3.44.1
>-------------------
>This release fixes :issue:`997`, in which under some circumstances the body of
>tests run under Hypothesis would not show up when run under coverage even
>though the tests were run and the code they called outside of the test file
>would show up normally.
>-------------------
>### 3.44.0
>-------------------
>This release adds a new feature: The :ref:`reproduce_failure <reproduce_failure>`,
>designed to make it easy to use Hypothesis's binary format for examples to
>reproduce a problem locally without having to share your example database
>between machines.
>This also changes when seeds are printed:
>* They will no longer be printed for
> normal falsifying examples, as there are now adequate ways of reproducing those
> for all cases, so it just contributes noise.
>* They will once again be printed when reusing examples from the database, as
> health check failures should now be more reliable in this scenario so it will
> almost always work in this case.
>This work was funded by `Smarkets <https://smarkets.com/>`_.
>-------------------
>### 3.43.1
>-------------------
>This release fixes a bug with Hypothesis's database management - examples that
>were found in the course of shrinking were saved in a way that indicated that
>they had distinct causes, and so they would all be retried on the start of the
>next test. The intended behaviour, which is now what is implemented, is that
>only a bounded subset of these examples would be retried.
>-------------------
>### 3.43.0
>-------------------
>:exc:`~hypothesis.errors.HypothesisDeprecationWarning` now inherits from
>:exc:`python:FutureWarning` instead of :exc:`python:DeprecationWarning`,
>as recommended by :pep:`565` for user-facing warnings (:issue:`618`).
>If you have not changed the default warnings settings, you will now see
>each distinct :exc:`~hypothesis.errors.HypothesisDeprecationWarning`
>instead of only the first.
>-------------------
>### 3.42.2
>-------------------
>This patch fixes :issue:`1017`, where instances of a list or tuple subtype
>used as an argument to a strategy would be coerced to tuple.
>-------------------
>### 3.42.1
>-------------------
>This release has some internal cleanup, which makes reading the code
>more pleasant and may shrink large examples slightly faster.
>-------------------
>### 3.42.0
>-------------------
>This release deprecates :ref:`faker-extra`, which was designed as a transition
>strategy but does not support example shrinking or coverage-guided discovery.
>-------------------
>### 3.41.0
>-------------------
>:func:`~hypothesis.strategies.sampled_from` can now sample from
>one-dimensional numpy ndarrays. Sampling from multi-dimensional
>ndarrays still results in a deprecation warning. Thanks to Charlie
>Tanksley for this patch.
>-------------------
### pyrsistent 0.14.1 -> 0.14.2
>### 0.14.2
> * Fix 121, regression in PClass.set() introduced in 0.14.1.
That's it for now!
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