from __future__ import absolute_import, division, print_function
import copy
import hashlib
import linecache
import sys
import threading
import warnings
from operator import itemgetter
from . import _config
from ._compat import (
PY2,
isclass,
iteritems,
metadata_proxy,
ordered_dict,
set_closure_cell,
)
from .exceptions import (
DefaultAlreadySetError,
FrozenInstanceError,
NotAnAttrsClassError,
PythonTooOldError,
UnannotatedAttributeError,
)
# This is used at least twice, so cache it here.
_obj_setattr = object.__setattr__
_init_converter_pat = "__attr_converter_{}"
_init_factory_pat = "__attr_factory_{}"
_tuple_property_pat = (
" {attr_name} = _attrs_property(_attrs_itemgetter({index}))"
)
_classvar_prefixes = ("typing.ClassVar", "t.ClassVar", "ClassVar")
# we don't use a double-underscore prefix because that triggers
# name mangling when trying to create a slot for the field
# (when slots=True)
_hash_cache_field = "_attrs_cached_hash"
_empty_metadata_singleton = metadata_proxy({})
class _Nothing(object):
"""
Sentinel class to indicate the lack of a value when ``None`` is ambiguous.
``_Nothing`` is a singleton. There is only ever one of it.
"""
_singleton = None
def __new__(cls):
if _Nothing._singleton is None:
_Nothing._singleton = super(_Nothing, cls).__new__(cls)
return _Nothing._singleton
def __repr__(self):
return "NOTHING"
NOTHING = _Nothing()
"""
Sentinel to indicate the lack of a value when ``None`` is ambiguous.
"""
def attrib(
default=NOTHING,
validator=None,
repr=True,
cmp=True,
hash=None,
init=True,
convert=None,
metadata=None,
type=None,
converter=None,
factory=None,
kw_only=False,
):
"""
Create a new attribute on a class.
.. warning::
Does *not* do anything unless the class is also decorated with
:func:`attr.s`!
:param default: A value that is used if an ``attrs``-generated ``__init__``
is used and no value is passed while instantiating or the attribute is
excluded using ``init=False``.
If the value is an instance of :class:`Factory`, its callable will be
used to construct a new value (useful for mutable data types like lists
or dicts).
If a default is not set (or set manually to ``attr.NOTHING``), a value
*must* be supplied when instantiating; otherwise a :exc:`TypeError`
will be raised.
The default can also be set using decorator notation as shown below.
:type default: Any value.
:param callable factory: Syntactic sugar for
``default=attr.Factory(callable)``.
:param validator: :func:`callable` that is called by ``attrs``-generated
``__init__`` methods after the instance has been initialized. They
receive the initialized instance, the :class:`Attribute`, and the
passed value.
The return value is *not* inspected so the validator has to throw an
exception itself.
If a ``list`` is passed, its items are treated as validators and must
all pass.
Validators can be globally disabled and re-enabled using
:func:`get_run_validators`.
The validator can also be set using decorator notation as shown below.
:type validator: ``callable`` or a ``list`` of ``callable``\\ s.
:param bool repr: Include this attribute in the generated ``__repr__``
method.
:param bool cmp: Include this attribute in the generated comparison methods
(``__eq__`` et al).
:param hash: Include this attribute in the generated ``__hash__``
method. If ``None`` (default), mirror *cmp*'s value. This is the
correct behavior according the Python spec. Setting this value to
anything else than ``None`` is *discouraged*.
:type hash: ``bool`` or ``None``
:param bool init: Include this attribute in the generated ``__init__``
method. It is possible to set this to ``False`` and set a default
value. In that case this attributed is unconditionally initialized
with the specified default value or factory.
:param callable converter: :func:`callable` that is called by
``attrs``-generated ``__init__`` methods to converter attribute's value
to the desired format. It is given the passed-in value, and the
returned value will be used as the new value of the attribute. The
value is converted before being passed to the validator, if any.
:param metadata: An arbitrary mapping, to be used by third-party
components. See :ref:`extending_metadata`.
:param type: The type of the attribute. In Python 3.6 or greater, the
preferred method to specify the type is using a variable annotation
(see `PEP 526 `_).
This argument is provided for backward compatibility.
Regardless of the approach used, the type will be stored on
``Attribute.type``.
:param kw_only: Make this attribute keyword-only (Python 3+)
in the generated ``__init__`` (if ``init`` is ``False``, this
parameter is ignored).
.. versionadded:: 15.2.0 *convert*
.. versionadded:: 16.3.0 *metadata*
.. versionchanged:: 17.1.0 *validator* can be a ``list`` now.
.. versionchanged:: 17.1.0
*hash* is ``None`` and therefore mirrors *cmp* by default.
.. versionadded:: 17.3.0 *type*
.. deprecated:: 17.4.0 *convert*
.. versionadded:: 17.4.0 *converter* as a replacement for the deprecated
*convert* to achieve consistency with other noun-based arguments.
.. versionadded:: 18.1.0
``factory=f`` is syntactic sugar for ``default=attr.Factory(f)``.
.. versionadded:: 18.2.0 *kw_only*
"""
if hash is not None and hash is not True and hash is not False:
raise TypeError(
"Invalid value for hash. Must be True, False, or None."
)
if convert is not None:
if converter is not None:
raise RuntimeError(
"Can't pass both `convert` and `converter`. "
"Please use `converter` only."
)
warnings.warn(
"The `convert` argument is deprecated in favor of `converter`. "
"It will be removed after 2019/01.",
DeprecationWarning,
stacklevel=2,
)
converter = convert
if factory is not None:
if default is not NOTHING:
raise ValueError(
"The `default` and `factory` arguments are mutually "
"exclusive."
)
if not callable(factory):
raise ValueError("The `factory` argument must be a callable.")
default = Factory(factory)
if metadata is None:
metadata = {}
return _CountingAttr(
default=default,
validator=validator,
repr=repr,
cmp=cmp,
hash=hash,
init=init,
converter=converter,
metadata=metadata,
type=type,
kw_only=kw_only,
)
def _make_attr_tuple_class(cls_name, attr_names):
"""
Create a tuple subclass to hold `Attribute`s for an `attrs` class.
The subclass is a bare tuple with properties for names.
class MyClassAttributes(tuple):
__slots__ = ()
x = property(itemgetter(0))
"""
attr_class_name = "{}Attributes".format(cls_name)
attr_class_template = [
"class {}(tuple):".format(attr_class_name),
" __slots__ = ()",
]
if attr_names:
for i, attr_name in enumerate(attr_names):
attr_class_template.append(
_tuple_property_pat.format(index=i, attr_name=attr_name)
)
else:
attr_class_template.append(" pass")
globs = {"_attrs_itemgetter": itemgetter, "_attrs_property": property}
eval(compile("\n".join(attr_class_template), "", "exec"), globs)
return globs[attr_class_name]
# Tuple class for extracted attributes from a class definition.
# `super_attrs` is a subset of `attrs`.
_Attributes = _make_attr_tuple_class(
"_Attributes",
[
# all attributes to build dunder methods for
"attrs",
# attributes that have been inherited
"super_attrs",
# map inherited attributes to their originating classes
"super_attrs_map",
],
)
def _is_class_var(annot):
"""
Check whether *annot* is a typing.ClassVar.
The string comparison hack is used to avoid evaluating all string
annotations which would put attrs-based classes at a performance
disadvantage compared to plain old classes.
"""
return str(annot).startswith(_classvar_prefixes)
def _get_annotations(cls):
"""
Get annotations for *cls*.
"""
anns = getattr(cls, "__annotations__", None)
if anns is None:
return {}
# Verify that the annotations aren't merely inherited.
for super_cls in cls.__mro__[1:]:
if anns is getattr(super_cls, "__annotations__", None):
return {}
return anns
def _counter_getter(e):
"""
Key function for sorting to avoid re-creating a lambda for every class.
"""
return e[1].counter
def _transform_attrs(cls, these, auto_attribs, kw_only):
"""
Transform all `_CountingAttr`s on a class into `Attribute`s.
If *these* is passed, use that and don't look for them on the class.
Return an `_Attributes`.
"""
cd = cls.__dict__
anns = _get_annotations(cls)
if these is not None:
ca_list = [(name, ca) for name, ca in iteritems(these)]
if not isinstance(these, ordered_dict):
ca_list.sort(key=_counter_getter)
elif auto_attribs is True:
ca_names = {
name
for name, attr in cd.items()
if isinstance(attr, _CountingAttr)
}
ca_list = []
annot_names = set()
for attr_name, type in anns.items():
if _is_class_var(type):
continue
annot_names.add(attr_name)
a = cd.get(attr_name, NOTHING)
if not isinstance(a, _CountingAttr):
if a is NOTHING:
a = attrib()
else:
a = attrib(default=a)
ca_list.append((attr_name, a))
unannotated = ca_names - annot_names
if len(unannotated) > 0:
raise UnannotatedAttributeError(
"The following `attr.ib`s lack a type annotation: "
+ ", ".join(
sorted(unannotated, key=lambda n: cd.get(n).counter)
)
+ "."
)
else:
ca_list = sorted(
(
(name, attr)
for name, attr in cd.items()
if isinstance(attr, _CountingAttr)
),
key=lambda e: e[1].counter,
)
own_attrs = [
Attribute.from_counting_attr(
name=attr_name, ca=ca, type=anns.get(attr_name)
)
for attr_name, ca in ca_list
]
super_attrs = []
super_attr_map = {} # A dictionary of superattrs to their classes.
taken_attr_names = {a.name: a for a in own_attrs}
# Traverse the MRO and collect attributes.
for super_cls in cls.__mro__[1:-1]:
sub_attrs = getattr(super_cls, "__attrs_attrs__", None)
if sub_attrs is not None:
for a in sub_attrs:
prev_a = taken_attr_names.get(a.name)
# Only add an attribute if it hasn't been defined before. This
# allows for overwriting attribute definitions by subclassing.
if prev_a is None:
super_attrs.append(a)
taken_attr_names[a.name] = a
super_attr_map[a.name] = super_cls
attr_names = [a.name for a in super_attrs + own_attrs]
AttrsClass = _make_attr_tuple_class(cls.__name__, attr_names)
if kw_only:
own_attrs = [a._assoc(kw_only=True) for a in own_attrs]
super_attrs = [a._assoc(kw_only=True) for a in super_attrs]
attrs = AttrsClass(super_attrs + own_attrs)
had_default = False
was_kw_only = False
for a in attrs:
if (
was_kw_only is False
and had_default is True
and a.default is NOTHING
and a.init is True
and a.kw_only is False
):
raise ValueError(
"No mandatory attributes allowed after an attribute with a "
"default value or factory. Attribute in question: %r" % (a,)
)
elif (
had_default is False
and a.default is not NOTHING
and a.init is not False
and
# Keyword-only attributes without defaults can be specified
# after keyword-only attributes with defaults.
a.kw_only is False
):
had_default = True
if was_kw_only is True and a.kw_only is False:
raise ValueError(
"Non keyword-only attributes are not allowed after a "
"keyword-only attribute. Attribute in question: {a!r}".format(
a=a
)
)
if was_kw_only is False and a.init is True and a.kw_only is True:
was_kw_only = True
return _Attributes((attrs, super_attrs, super_attr_map))
def _frozen_setattrs(self, name, value):
"""
Attached to frozen classes as __setattr__.
"""
raise FrozenInstanceError()
def _frozen_delattrs(self, name):
"""
Attached to frozen classes as __delattr__.
"""
raise FrozenInstanceError()
class _ClassBuilder(object):
"""
Iteratively build *one* class.
"""
__slots__ = (
"_cls",
"_cls_dict",
"_attrs",
"_super_names",
"_attr_names",
"_slots",
"_frozen",
"_weakref_slot",
"_cache_hash",
"_has_post_init",
"_delete_attribs",
"_super_attr_map",
)
def __init__(
self,
cls,
these,
slots,
frozen,
weakref_slot,
auto_attribs,
kw_only,
cache_hash,
):
attrs, super_attrs, super_map = _transform_attrs(
cls, these, auto_attribs, kw_only
)
self._cls = cls
self._cls_dict = dict(cls.__dict__) if slots else {}
self._attrs = attrs
self._super_names = set(a.name for a in super_attrs)
self._super_attr_map = super_map
self._attr_names = tuple(a.name for a in attrs)
self._slots = slots
self._frozen = frozen or _has_frozen_superclass(cls)
self._weakref_slot = weakref_slot
self._cache_hash = cache_hash
self._has_post_init = bool(getattr(cls, "__attrs_post_init__", False))
self._delete_attribs = not bool(these)
self._cls_dict["__attrs_attrs__"] = self._attrs
if frozen:
self._cls_dict["__setattr__"] = _frozen_setattrs
self._cls_dict["__delattr__"] = _frozen_delattrs
def __repr__(self):
return "<_ClassBuilder(cls={cls})>".format(cls=self._cls.__name__)
def build_class(self):
"""
Finalize class based on the accumulated configuration.
Builder cannot be used anymore after calling this method.
"""
if self._slots is True:
return self._create_slots_class()
else:
return self._patch_original_class()
def _patch_original_class(self):
"""
Apply accumulated methods and return the class.
"""
cls = self._cls
super_names = self._super_names
# Clean class of attribute definitions (`attr.ib()`s).
if self._delete_attribs:
for name in self._attr_names:
if (
name not in super_names
and getattr(cls, name, None) is not None
):
try:
delattr(cls, name)
except AttributeError:
# This can happen if a superclass defines a class
# variable and we want to set an attribute with the
# same name by using only a type annotation.
pass
# Attach our dunder methods.
for name, value in self._cls_dict.items():
setattr(cls, name, value)
return cls
def _create_slots_class(self):
"""
Build and return a new class with a `__slots__` attribute.
"""
super_names = self._super_names
cd = {
k: v
for k, v in iteritems(self._cls_dict)
if k not in tuple(self._attr_names) + ("__dict__", "__weakref__")
}
weakref_inherited = False
# Traverse the MRO to check for an existing __weakref__.
for super_cls in self._cls.__mro__[1:-1]:
if "__weakref__" in getattr(super_cls, "__dict__", ()):
weakref_inherited = True
break
names = self._attr_names
if (
self._weakref_slot
and "__weakref__" not in getattr(self._cls, "__slots__", ())
and "__weakref__" not in names
and not weakref_inherited
):
names += ("__weakref__",)
# We only add the names of attributes that aren't inherited.
# Settings __slots__ to inherited attributes wastes memory.
slot_names = [name for name in names if name not in super_names]
if self._cache_hash:
slot_names.append(_hash_cache_field)
cd["__slots__"] = tuple(slot_names)
qualname = getattr(self._cls, "__qualname__", None)
if qualname is not None:
cd["__qualname__"] = qualname
# __weakref__ is not writable.
state_attr_names = tuple(
an for an in self._attr_names if an != "__weakref__"
)
def slots_getstate(self):
"""
Automatically created by attrs.
"""
return tuple(getattr(self, name) for name in state_attr_names)
def slots_setstate(self, state):
"""
Automatically created by attrs.
"""
__bound_setattr = _obj_setattr.__get__(self, Attribute)
for name, value in zip(state_attr_names, state):
__bound_setattr(name, value)
# slots and frozen require __getstate__/__setstate__ to work
cd["__getstate__"] = slots_getstate
cd["__setstate__"] = slots_setstate
# Create new class based on old class and our methods.
cls = type(self._cls)(self._cls.__name__, self._cls.__bases__, cd)
# The following is a fix for
# https://github.com/python-attrs/attrs/issues/102. On Python 3,
# if a method mentions `__class__` or uses the no-arg super(), the
# compiler will bake a reference to the class in the method itself
# as `method.__closure__`. Since we replace the class with a
# clone, we rewrite these references so it keeps working.
for item in cls.__dict__.values():
if isinstance(item, (classmethod, staticmethod)):
# Class- and staticmethods hide their functions inside.
# These might need to be rewritten as well.
closure_cells = getattr(item.__func__, "__closure__", None)
else:
closure_cells = getattr(item, "__closure__", None)
if not closure_cells: # Catch None or the empty list.
continue
for cell in closure_cells:
if cell.cell_contents is self._cls:
set_closure_cell(cell, cls)
return cls
def add_repr(self, ns):
self._cls_dict["__repr__"] = self._add_method_dunders(
_make_repr(self._attrs, ns=ns)
)
return self
def add_str(self):
repr = self._cls_dict.get("__repr__")
if repr is None:
raise ValueError(
"__str__ can only be generated if a __repr__ exists."
)
def __str__(self):
return self.__repr__()
self._cls_dict["__str__"] = self._add_method_dunders(__str__)
return self
def make_unhashable(self):
self._cls_dict["__hash__"] = None
return self
def add_hash(self):
self._cls_dict["__hash__"] = self._add_method_dunders(
_make_hash(
self._attrs, frozen=self._frozen, cache_hash=self._cache_hash
)
)
return self
def add_init(self):
self._cls_dict["__init__"] = self._add_method_dunders(
_make_init(
self._attrs,
self._has_post_init,
self._frozen,
self._slots,
self._cache_hash,
self._super_attr_map,
)
)
return self
def add_cmp(self):
cd = self._cls_dict
cd["__eq__"], cd["__ne__"], cd["__lt__"], cd["__le__"], cd[
"__gt__"
], cd["__ge__"] = (
self._add_method_dunders(meth) for meth in _make_cmp(self._attrs)
)
return self
def _add_method_dunders(self, method):
"""
Add __module__ and __qualname__ to a *method* if possible.
"""
try:
method.__module__ = self._cls.__module__
except AttributeError:
pass
try:
method.__qualname__ = ".".join(
(self._cls.__qualname__, method.__name__)
)
except AttributeError:
pass
return method
def attrs(
maybe_cls=None,
these=None,
repr_ns=None,
repr=True,
cmp=True,
hash=None,
init=True,
slots=False,
frozen=False,
weakref_slot=True,
str=False,
auto_attribs=False,
kw_only=False,
cache_hash=False,
):
r"""
A class decorator that adds `dunder
`_\ -methods according to the
specified attributes using :func:`attr.ib` or the *these* argument.
:param these: A dictionary of name to :func:`attr.ib` mappings. This is
useful to avoid the definition of your attributes within the class body
because you can't (e.g. if you want to add ``__repr__`` methods to
Django models) or don't want to.
If *these* is not ``None``, ``attrs`` will *not* search the class body
for attributes and will *not* remove any attributes from it.
If *these* is an ordered dict (:class:`dict` on Python 3.6+,
:class:`collections.OrderedDict` otherwise), the order is deduced from
the order of the attributes inside *these*. Otherwise the order
of the definition of the attributes is used.
:type these: :class:`dict` of :class:`str` to :func:`attr.ib`
:param str repr_ns: When using nested classes, there's no way in Python 2
to automatically detect that. Therefore it's possible to set the
namespace explicitly for a more meaningful ``repr`` output.
:param bool repr: Create a ``__repr__`` method with a human readable
representation of ``attrs`` attributes..
:param bool str: Create a ``__str__`` method that is identical to
``__repr__``. This is usually not necessary except for
:class:`Exception`\ s.
:param bool cmp: Create ``__eq__``, ``__ne__``, ``__lt__``, ``__le__``,
``__gt__``, and ``__ge__`` methods that compare the class as if it were
a tuple of its ``attrs`` attributes. But the attributes are *only*
compared, if the types of both classes are *identical*!
:param hash: If ``None`` (default), the ``__hash__`` method is generated
according how *cmp* and *frozen* are set.
1. If *both* are True, ``attrs`` will generate a ``__hash__`` for you.
2. If *cmp* is True and *frozen* is False, ``__hash__`` will be set to
None, marking it unhashable (which it is).
3. If *cmp* is False, ``__hash__`` will be left untouched meaning the
``__hash__`` method of the superclass will be used (if superclass is
``object``, this means it will fall back to id-based hashing.).
Although not recommended, you can decide for yourself and force
``attrs`` to create one (e.g. if the class is immutable even though you
didn't freeze it programmatically) by passing ``True`` or not. Both of
these cases are rather special and should be used carefully.
See the `Python documentation \
`_
and the `GitHub issue that led to the default behavior \
`_ for more details.
:type hash: ``bool`` or ``None``
:param bool init: Create a ``__init__`` method that initializes the
``attrs`` attributes. Leading underscores are stripped for the
argument name. If a ``__attrs_post_init__`` method exists on the
class, it will be called after the class is fully initialized.
:param bool slots: Create a slots_-style class that's more
memory-efficient. See :ref:`slots` for further ramifications.
:param bool frozen: Make instances immutable after initialization. If
someone attempts to modify a frozen instance,
:exc:`attr.exceptions.FrozenInstanceError` is raised.
Please note:
1. This is achieved by installing a custom ``__setattr__`` method
on your class so you can't implement an own one.
2. True immutability is impossible in Python.
3. This *does* have a minor a runtime performance :ref:`impact
` when initializing new instances. In other words:
``__init__`` is slightly slower with ``frozen=True``.
4. If a class is frozen, you cannot modify ``self`` in
``__attrs_post_init__`` or a self-written ``__init__``. You can
circumvent that limitation by using
``object.__setattr__(self, "attribute_name", value)``.
.. _slots: https://docs.python.org/3/reference/datamodel.html#slots
:param bool weakref_slot: Make instances weak-referenceable. This has no
effect unless ``slots`` is also enabled.
:param bool auto_attribs: If True, collect `PEP 526`_-annotated attributes
(Python 3.6 and later only) from the class body.
In this case, you **must** annotate every field. If ``attrs``
encounters a field that is set to an :func:`attr.ib` but lacks a type
annotation, an :exc:`attr.exceptions.UnannotatedAttributeError` is
raised. Use ``field_name: typing.Any = attr.ib(...)`` if you don't
want to set a type.
If you assign a value to those attributes (e.g. ``x: int = 42``), that
value becomes the default value like if it were passed using
``attr.ib(default=42)``. Passing an instance of :class:`Factory` also
works as expected.
Attributes annotated as :data:`typing.ClassVar` are **ignored**.
.. _`PEP 526`: https://www.python.org/dev/peps/pep-0526/
:param bool kw_only: Make all attributes keyword-only (Python 3+)
in the generated ``__init__`` (if ``init`` is ``False``, this
parameter is ignored).
:param bool cache_hash: Ensure that the object's hash code is computed
only once and stored on the object. If this is set to ``True``,
hashing must be either explicitly or implicitly enabled for this
class. If the hash code is cached, then no attributes of this
class which participate in hash code computation may be mutated
after object creation.
.. versionadded:: 16.0.0 *slots*
.. versionadded:: 16.1.0 *frozen*
.. versionadded:: 16.3.0 *str*
.. versionadded:: 16.3.0 Support for ``__attrs_post_init__``.
.. versionchanged:: 17.1.0
*hash* supports ``None`` as value which is also the default now.
.. versionadded:: 17.3.0 *auto_attribs*
.. versionchanged:: 18.1.0
If *these* is passed, no attributes are deleted from the class body.
.. versionchanged:: 18.1.0 If *these* is ordered, the order is retained.
.. versionadded:: 18.2.0 *weakref_slot*
.. deprecated:: 18.2.0
``__lt__``, ``__le__``, ``__gt__``, and ``__ge__`` now raise a
:class:`DeprecationWarning` if the classes compared are subclasses of
each other. ``__eq`` and ``__ne__`` never tried to compared subclasses
to each other.
.. versionadded:: 18.2.0 *kw_only*
.. versionadded:: 18.2.0 *cache_hash*
"""
def wrap(cls):
if getattr(cls, "__class__", None) is None:
raise TypeError("attrs only works with new-style classes.")
builder = _ClassBuilder(
cls,
these,
slots,
frozen,
weakref_slot,
auto_attribs,
kw_only,
cache_hash,
)
if repr is True:
builder.add_repr(repr_ns)
if str is True:
builder.add_str()
if cmp is True:
builder.add_cmp()
if hash is not True and hash is not False and hash is not None:
# Can't use `hash in` because 1 == True for example.
raise TypeError(
"Invalid value for hash. Must be True, False, or None."
)
elif hash is False or (hash is None and cmp is False):
if cache_hash:
raise TypeError(
"Invalid value for cache_hash. To use hash caching,"
" hashing must be either explicitly or implicitly "
"enabled."
)
elif hash is True or (hash is None and cmp is True and frozen is True):
builder.add_hash()
else:
if cache_hash:
raise TypeError(
"Invalid value for cache_hash. To use hash caching,"
" hashing must be either explicitly or implicitly "
"enabled."
)
builder.make_unhashable()
if init is True:
builder.add_init()
else:
if cache_hash:
raise TypeError(
"Invalid value for cache_hash. To use hash caching,"
" init must be True."
)
return builder.build_class()
# maybe_cls's type depends on the usage of the decorator. It's a class
# if it's used as `@attrs` but ``None`` if used as `@attrs()`.
if maybe_cls is None:
return wrap
else:
return wrap(maybe_cls)
_attrs = attrs
"""
Internal alias so we can use it in functions that take an argument called
*attrs*.
"""
if PY2:
def _has_frozen_superclass(cls):
"""
Check whether *cls* has a frozen ancestor by looking at its
__setattr__.
"""
return (
getattr(cls.__setattr__, "__module__", None)
== _frozen_setattrs.__module__
and cls.__setattr__.__name__ == _frozen_setattrs.__name__
)
else:
def _has_frozen_superclass(cls):
"""
Check whether *cls* has a frozen ancestor by looking at its
__setattr__.
"""
return cls.__setattr__ == _frozen_setattrs
def _attrs_to_tuple(obj, attrs):
"""
Create a tuple of all values of *obj*'s *attrs*.
"""
return tuple(getattr(obj, a.name) for a in attrs)
def _make_hash(attrs, frozen, cache_hash):
attrs = tuple(
a
for a in attrs
if a.hash is True or (a.hash is None and a.cmp is True)
)
tab = " "
# We cache the generated hash methods for the same kinds of attributes.
sha1 = hashlib.sha1()
sha1.update(repr(attrs).encode("utf-8"))
unique_filename = "" % (sha1.hexdigest(),)
type_hash = hash(unique_filename)
method_lines = ["def __hash__(self):"]
def append_hash_computation_lines(prefix, indent):
"""
Generate the code for actually computing the hash code.
Below this will either be returned directly or used to compute
a value which is then cached, depending on the value of cache_hash
"""
method_lines.extend(
[indent + prefix + "hash((", indent + " %d," % (type_hash,)]
)
for a in attrs:
method_lines.append(indent + " self.%s," % a.name)
method_lines.append(indent + " ))")
if cache_hash:
method_lines.append(tab + "if self.%s is None:" % _hash_cache_field)
if frozen:
append_hash_computation_lines(
"object.__setattr__(self, '%s', " % _hash_cache_field, tab * 2
)
method_lines.append(tab * 2 + ")") # close __setattr__
else:
append_hash_computation_lines(
"self.%s = " % _hash_cache_field, tab * 2
)
method_lines.append(tab + "return self.%s" % _hash_cache_field)
else:
append_hash_computation_lines("return ", tab)
script = "\n".join(method_lines)
globs = {}
locs = {}
bytecode = compile(script, unique_filename, "exec")
eval(bytecode, globs, locs)
# In order of debuggers like PDB being able to step through the code,
# we add a fake linecache entry.
linecache.cache[unique_filename] = (
len(script),
None,
script.splitlines(True),
unique_filename,
)
return locs["__hash__"]
def _add_hash(cls, attrs):
"""
Add a hash method to *cls*.
"""
cls.__hash__ = _make_hash(attrs, frozen=False, cache_hash=False)
return cls
def __ne__(self, other):
"""
Check equality and either forward a NotImplemented or return the result
negated.
"""
result = self.__eq__(other)
if result is NotImplemented:
return NotImplemented
return not result
WARNING_CMP_ISINSTANCE = (
"Comparision of subclasses using __%s__ is deprecated and will be removed "
"in 2019."
)
def _make_cmp(attrs):
attrs = [a for a in attrs if a.cmp]
# We cache the generated eq methods for the same kinds of attributes.
sha1 = hashlib.sha1()
sha1.update(repr(attrs).encode("utf-8"))
unique_filename = "" % (sha1.hexdigest(),)
lines = [
"def __eq__(self, other):",
" if other.__class__ is not self.__class__:",
" return NotImplemented",
]
# We can't just do a big self.x = other.x and... clause due to
# irregularities like nan == nan is false but (nan,) == (nan,) is true.
if attrs:
lines.append(" return (")
others = [" ) == ("]
for a in attrs:
lines.append(" self.%s," % (a.name,))
others.append(" other.%s," % (a.name,))
lines += others + [" )"]
else:
lines.append(" return True")
script = "\n".join(lines)
globs = {}
locs = {}
bytecode = compile(script, unique_filename, "exec")
eval(bytecode, globs, locs)
# In order of debuggers like PDB being able to step through the code,
# we add a fake linecache entry.
linecache.cache[unique_filename] = (
len(script),
None,
script.splitlines(True),
unique_filename,
)
eq = locs["__eq__"]
ne = __ne__
def attrs_to_tuple(obj):
"""
Save us some typing.
"""
return _attrs_to_tuple(obj, attrs)
def __lt__(self, other):
"""
Automatically created by attrs.
"""
if isinstance(other, self.__class__):
if other.__class__ is not self.__class__:
warnings.warn(
WARNING_CMP_ISINSTANCE % ("lt",), DeprecationWarning
)
return attrs_to_tuple(self) < attrs_to_tuple(other)
else:
return NotImplemented
def __le__(self, other):
"""
Automatically created by attrs.
"""
if isinstance(other, self.__class__):
if other.__class__ is not self.__class__:
warnings.warn(
WARNING_CMP_ISINSTANCE % ("le",), DeprecationWarning
)
return attrs_to_tuple(self) <= attrs_to_tuple(other)
else:
return NotImplemented
def __gt__(self, other):
"""
Automatically created by attrs.
"""
if isinstance(other, self.__class__):
if other.__class__ is not self.__class__:
warnings.warn(
WARNING_CMP_ISINSTANCE % ("gt",), DeprecationWarning
)
return attrs_to_tuple(self) > attrs_to_tuple(other)
else:
return NotImplemented
def __ge__(self, other):
"""
Automatically created by attrs.
"""
if isinstance(other, self.__class__):
if other.__class__ is not self.__class__:
warnings.warn(
WARNING_CMP_ISINSTANCE % ("ge",), DeprecationWarning
)
return attrs_to_tuple(self) >= attrs_to_tuple(other)
else:
return NotImplemented
return eq, ne, __lt__, __le__, __gt__, __ge__
def _add_cmp(cls, attrs=None):
"""
Add comparison methods to *cls*.
"""
if attrs is None:
attrs = cls.__attrs_attrs__
cls.__eq__, cls.__ne__, cls.__lt__, cls.__le__, cls.__gt__, cls.__ge__ = _make_cmp( # noqa
attrs
)
return cls
_already_repring = threading.local()
def _make_repr(attrs, ns):
"""
Make a repr method for *attr_names* adding *ns* to the full name.
"""
attr_names = tuple(a.name for a in attrs if a.repr)
def __repr__(self):
"""
Automatically created by attrs.
"""
try:
working_set = _already_repring.working_set
except AttributeError:
working_set = set()
_already_repring.working_set = working_set
if id(self) in working_set:
return "..."
real_cls = self.__class__
if ns is None:
qualname = getattr(real_cls, "__qualname__", None)
if qualname is not None:
class_name = qualname.rsplit(">.", 1)[-1]
else:
class_name = real_cls.__name__
else:
class_name = ns + "." + real_cls.__name__
# Since 'self' remains on the stack (i.e.: strongly referenced) for the
# duration of this call, it's safe to depend on id(...) stability, and
# not need to track the instance and therefore worry about properties
# like weakref- or hash-ability.
working_set.add(id(self))
try:
result = [class_name, "("]
first = True
for name in attr_names:
if first:
first = False
else:
result.append(", ")
result.extend((name, "=", repr(getattr(self, name, NOTHING))))
return "".join(result) + ")"
finally:
working_set.remove(id(self))
return __repr__
def _add_repr(cls, ns=None, attrs=None):
"""
Add a repr method to *cls*.
"""
if attrs is None:
attrs = cls.__attrs_attrs__
cls.__repr__ = _make_repr(attrs, ns)
return cls
def _make_init(attrs, post_init, frozen, slots, cache_hash, super_attr_map):
attrs = [a for a in attrs if a.init or a.default is not NOTHING]
# We cache the generated init methods for the same kinds of attributes.
sha1 = hashlib.sha1()
sha1.update(repr(attrs).encode("utf-8"))
unique_filename = "".format(sha1.hexdigest())
script, globs, annotations = _attrs_to_init_script(
attrs, frozen, slots, post_init, cache_hash, super_attr_map
)
locs = {}
bytecode = compile(script, unique_filename, "exec")
attr_dict = dict((a.name, a) for a in attrs)
globs.update({"NOTHING": NOTHING, "attr_dict": attr_dict})
if frozen is True:
# Save the lookup overhead in __init__ if we need to circumvent
# immutability.
globs["_cached_setattr"] = _obj_setattr
eval(bytecode, globs, locs)
# In order of debuggers like PDB being able to step through the code,
# we add a fake linecache entry.
linecache.cache[unique_filename] = (
len(script),
None,
script.splitlines(True),
unique_filename,
)
__init__ = locs["__init__"]
__init__.__annotations__ = annotations
return __init__
def _add_init(cls, frozen):
"""
Add a __init__ method to *cls*. If *frozen* is True, make it immutable.
"""
cls.__init__ = _make_init(
cls.__attrs_attrs__,
getattr(cls, "__attrs_post_init__", False),
frozen,
_is_slot_cls(cls),
cache_hash=False,
super_attr_map={},
)
return cls
def fields(cls):
"""
Return the tuple of ``attrs`` attributes for a class.
The tuple also allows accessing the fields by their names (see below for
examples).
:param type cls: Class to introspect.
:raise TypeError: If *cls* is not a class.
:raise attr.exceptions.NotAnAttrsClassError: If *cls* is not an ``attrs``
class.
:rtype: tuple (with name accessors) of :class:`attr.Attribute`
.. versionchanged:: 16.2.0 Returned tuple allows accessing the fields
by name.
"""
if not isclass(cls):
raise TypeError("Passed object must be a class.")
attrs = getattr(cls, "__attrs_attrs__", None)
if attrs is None:
raise NotAnAttrsClassError(
"{cls!r} is not an attrs-decorated class.".format(cls=cls)
)
return attrs
def fields_dict(cls):
"""
Return an ordered dictionary of ``attrs`` attributes for a class, whose
keys are the attribute names.
:param type cls: Class to introspect.
:raise TypeError: If *cls* is not a class.
:raise attr.exceptions.NotAnAttrsClassError: If *cls* is not an ``attrs``
class.
:rtype: an ordered dict where keys are attribute names and values are
:class:`attr.Attribute`\\ s. This will be a :class:`dict` if it's
naturally ordered like on Python 3.6+ or an
:class:`~collections.OrderedDict` otherwise.
.. versionadded:: 18.1.0
"""
if not isclass(cls):
raise TypeError("Passed object must be a class.")
attrs = getattr(cls, "__attrs_attrs__", None)
if attrs is None:
raise NotAnAttrsClassError(
"{cls!r} is not an attrs-decorated class.".format(cls=cls)
)
return ordered_dict(((a.name, a) for a in attrs))
def validate(inst):
"""
Validate all attributes on *inst* that have a validator.
Leaves all exceptions through.
:param inst: Instance of a class with ``attrs`` attributes.
"""
if _config._run_validators is False:
return
for a in fields(inst.__class__):
v = a.validator
if v is not None:
v(inst, a, getattr(inst, a.name))
def _is_slot_cls(cls):
return "__slots__" in cls.__dict__
def _is_slot_attr(a_name, super_attr_map):
"""
Check if the attribute name comes from a slot class.
"""
return a_name in super_attr_map and _is_slot_cls(super_attr_map[a_name])
def _attrs_to_init_script(
attrs, frozen, slots, post_init, cache_hash, super_attr_map
):
"""
Return a script of an initializer for *attrs* and a dict of globals.
The globals are expected by the generated script.
If *frozen* is True, we cannot set the attributes directly so we use
a cached ``object.__setattr__``.
"""
lines = []
any_slot_ancestors = any(
_is_slot_attr(a.name, super_attr_map) for a in attrs
)
if frozen is True:
if slots is True:
lines.append(
# Circumvent the __setattr__ descriptor to save one lookup per
# assignment.
# Note _setattr will be used again below if cache_hash is True
"_setattr = _cached_setattr.__get__(self, self.__class__)"
)
def fmt_setter(attr_name, value_var):
return "_setattr('%(attr_name)s', %(value_var)s)" % {
"attr_name": attr_name,
"value_var": value_var,
}
def fmt_setter_with_converter(attr_name, value_var):
conv_name = _init_converter_pat.format(attr_name)
return "_setattr('%(attr_name)s', %(conv)s(%(value_var)s))" % {
"attr_name": attr_name,
"value_var": value_var,
"conv": conv_name,
}
else:
# Dict frozen classes assign directly to __dict__.
# But only if the attribute doesn't come from an ancestor slot
# class.
# Note _inst_dict will be used again below if cache_hash is True
lines.append("_inst_dict = self.__dict__")
if any_slot_ancestors:
lines.append(
# Circumvent the __setattr__ descriptor to save one lookup
# per assignment.
"_setattr = _cached_setattr.__get__(self, self.__class__)"
)
def fmt_setter(attr_name, value_var):
if _is_slot_attr(attr_name, super_attr_map):
res = "_setattr('%(attr_name)s', %(value_var)s)" % {
"attr_name": attr_name,
"value_var": value_var,
}
else:
res = "_inst_dict['%(attr_name)s'] = %(value_var)s" % {
"attr_name": attr_name,
"value_var": value_var,
}
return res
def fmt_setter_with_converter(attr_name, value_var):
conv_name = _init_converter_pat.format(attr_name)
if _is_slot_attr(attr_name, super_attr_map):
tmpl = "_setattr('%(attr_name)s', %(c)s(%(value_var)s))"
else:
tmpl = "_inst_dict['%(attr_name)s'] = %(c)s(%(value_var)s)"
return tmpl % {
"attr_name": attr_name,
"value_var": value_var,
"c": conv_name,
}
else:
# Not frozen.
def fmt_setter(attr_name, value):
return "self.%(attr_name)s = %(value)s" % {
"attr_name": attr_name,
"value": value,
}
def fmt_setter_with_converter(attr_name, value_var):
conv_name = _init_converter_pat.format(attr_name)
return "self.%(attr_name)s = %(conv)s(%(value_var)s)" % {
"attr_name": attr_name,
"value_var": value_var,
"conv": conv_name,
}
args = []
kw_only_args = []
attrs_to_validate = []
# This is a dictionary of names to validator and converter callables.
# Injecting this into __init__ globals lets us avoid lookups.
names_for_globals = {}
annotations = {"return": None}
for a in attrs:
if a.validator:
attrs_to_validate.append(a)
attr_name = a.name
arg_name = a.name.lstrip("_")
has_factory = isinstance(a.default, Factory)
if has_factory and a.default.takes_self:
maybe_self = "self"
else:
maybe_self = ""
if a.init is False:
if has_factory:
init_factory_name = _init_factory_pat.format(a.name)
if a.converter is not None:
lines.append(
fmt_setter_with_converter(
attr_name,
init_factory_name + "({0})".format(maybe_self),
)
)
conv_name = _init_converter_pat.format(a.name)
names_for_globals[conv_name] = a.converter
else:
lines.append(
fmt_setter(
attr_name,
init_factory_name + "({0})".format(maybe_self),
)
)
names_for_globals[init_factory_name] = a.default.factory
else:
if a.converter is not None:
lines.append(
fmt_setter_with_converter(
attr_name,
"attr_dict['{attr_name}'].default".format(
attr_name=attr_name
),
)
)
conv_name = _init_converter_pat.format(a.name)
names_for_globals[conv_name] = a.converter
else:
lines.append(
fmt_setter(
attr_name,
"attr_dict['{attr_name}'].default".format(
attr_name=attr_name
),
)
)
elif a.default is not NOTHING and not has_factory:
arg = "{arg_name}=attr_dict['{attr_name}'].default".format(
arg_name=arg_name, attr_name=attr_name
)
if a.kw_only:
kw_only_args.append(arg)
else:
args.append(arg)
if a.converter is not None:
lines.append(fmt_setter_with_converter(attr_name, arg_name))
names_for_globals[
_init_converter_pat.format(a.name)
] = a.converter
else:
lines.append(fmt_setter(attr_name, arg_name))
elif has_factory:
arg = "{arg_name}=NOTHING".format(arg_name=arg_name)
if a.kw_only:
kw_only_args.append(arg)
else:
args.append(arg)
lines.append(
"if {arg_name} is not NOTHING:".format(arg_name=arg_name)
)
init_factory_name = _init_factory_pat.format(a.name)
if a.converter is not None:
lines.append(
" " + fmt_setter_with_converter(attr_name, arg_name)
)
lines.append("else:")
lines.append(
" "
+ fmt_setter_with_converter(
attr_name,
init_factory_name + "({0})".format(maybe_self),
)
)
names_for_globals[
_init_converter_pat.format(a.name)
] = a.converter
else:
lines.append(" " + fmt_setter(attr_name, arg_name))
lines.append("else:")
lines.append(
" "
+ fmt_setter(
attr_name,
init_factory_name + "({0})".format(maybe_self),
)
)
names_for_globals[init_factory_name] = a.default.factory
else:
if a.kw_only:
kw_only_args.append(arg_name)
else:
args.append(arg_name)
if a.converter is not None:
lines.append(fmt_setter_with_converter(attr_name, arg_name))
names_for_globals[
_init_converter_pat.format(a.name)
] = a.converter
else:
lines.append(fmt_setter(attr_name, arg_name))
if a.init is True and a.converter is None and a.type is not None:
annotations[arg_name] = a.type
if attrs_to_validate: # we can skip this if there are no validators.
names_for_globals["_config"] = _config
lines.append("if _config._run_validators is True:")
for a in attrs_to_validate:
val_name = "__attr_validator_{}".format(a.name)
attr_name = "__attr_{}".format(a.name)
lines.append(
" {}(self, {}, self.{})".format(val_name, attr_name, a.name)
)
names_for_globals[val_name] = a.validator
names_for_globals[attr_name] = a
if post_init:
lines.append("self.__attrs_post_init__()")
# because this is set only after __attrs_post_init is called, a crash
# will result if post-init tries to access the hash code. This seemed
# preferable to setting this beforehand, in which case alteration to
# field values during post-init combined with post-init accessing the
# hash code would result in silent bugs.
if cache_hash:
if frozen:
if slots:
# if frozen and slots, then _setattr defined above
init_hash_cache = "_setattr('%s', %s)"
else:
# if frozen and not slots, then _inst_dict defined above
init_hash_cache = "_inst_dict['%s'] = %s"
else:
init_hash_cache = "self.%s = %s"
lines.append(init_hash_cache % (_hash_cache_field, "None"))
args = ", ".join(args)
if kw_only_args:
if PY2:
raise PythonTooOldError(
"Keyword-only arguments only work on Python 3 and later."
)
args += "{leading_comma}*, {kw_only_args}".format(
leading_comma=", " if args else "",
kw_only_args=", ".join(kw_only_args),
)
return (
"""\
def __init__(self, {args}):
{lines}
""".format(
args=args, lines="\n ".join(lines) if lines else "pass"
),
names_for_globals,
annotations,
)
class Attribute(object):
"""
*Read-only* representation of an attribute.
:attribute name: The name of the attribute.
Plus *all* arguments of :func:`attr.ib`.
For the version history of the fields, see :func:`attr.ib`.
"""
__slots__ = (
"name",
"default",
"validator",
"repr",
"cmp",
"hash",
"init",
"metadata",
"type",
"converter",
"kw_only",
)
def __init__(
self,
name,
default,
validator,
repr,
cmp,
hash,
init,
convert=None,
metadata=None,
type=None,
converter=None,
kw_only=False,
):
# Cache this descriptor here to speed things up later.
bound_setattr = _obj_setattr.__get__(self, Attribute)
# Despite the big red warning, people *do* instantiate `Attribute`
# themselves.
if convert is not None:
if converter is not None:
raise RuntimeError(
"Can't pass both `convert` and `converter`. "
"Please use `converter` only."
)
warnings.warn(
"The `convert` argument is deprecated in favor of `converter`."
" It will be removed after 2019/01.",
DeprecationWarning,
stacklevel=2,
)
converter = convert
bound_setattr("name", name)
bound_setattr("default", default)
bound_setattr("validator", validator)
bound_setattr("repr", repr)
bound_setattr("cmp", cmp)
bound_setattr("hash", hash)
bound_setattr("init", init)
bound_setattr("converter", converter)
bound_setattr(
"metadata",
(
metadata_proxy(metadata)
if metadata
else _empty_metadata_singleton
),
)
bound_setattr("type", type)
bound_setattr("kw_only", kw_only)
def __setattr__(self, name, value):
raise FrozenInstanceError()
@property
def convert(self):
warnings.warn(
"The `convert` attribute is deprecated in favor of `converter`. "
"It will be removed after 2019/01.",
DeprecationWarning,
stacklevel=2,
)
return self.converter
@classmethod
def from_counting_attr(cls, name, ca, type=None):
# type holds the annotated value. deal with conflicts:
if type is None:
type = ca.type
elif ca.type is not None:
raise ValueError(
"Type annotation and type argument cannot both be present"
)
inst_dict = {
k: getattr(ca, k)
for k in Attribute.__slots__
if k
not in (
"name",
"validator",
"default",
"type",
"convert",
) # exclude methods and deprecated alias
}
return cls(
name=name,
validator=ca._validator,
default=ca._default,
type=type,
**inst_dict
)
# Don't use attr.assoc since fields(Attribute) doesn't work
def _assoc(self, **changes):
"""
Copy *self* and apply *changes*.
"""
new = copy.copy(self)
new._setattrs(changes.items())
return new
# Don't use _add_pickle since fields(Attribute) doesn't work
def __getstate__(self):
"""
Play nice with pickle.
"""
return tuple(
getattr(self, name) if name != "metadata" else dict(self.metadata)
for name in self.__slots__
)
def __setstate__(self, state):
"""
Play nice with pickle.
"""
self._setattrs(zip(self.__slots__, state))
def _setattrs(self, name_values_pairs):
bound_setattr = _obj_setattr.__get__(self, Attribute)
for name, value in name_values_pairs:
if name != "metadata":
bound_setattr(name, value)
else:
bound_setattr(
name,
metadata_proxy(value)
if value
else _empty_metadata_singleton,
)
_a = [
Attribute(
name=name,
default=NOTHING,
validator=None,
repr=True,
cmp=True,
hash=(name != "metadata"),
init=True,
)
for name in Attribute.__slots__
if name != "convert" # XXX: remove once `convert` is gone
]
Attribute = _add_hash(
_add_cmp(_add_repr(Attribute, attrs=_a), attrs=_a),
attrs=[a for a in _a if a.hash],
)
class _CountingAttr(object):
"""
Intermediate representation of attributes that uses a counter to preserve
the order in which the attributes have been defined.
*Internal* data structure of the attrs library. Running into is most
likely the result of a bug like a forgotten `@attr.s` decorator.
"""
__slots__ = (
"counter",
"_default",
"repr",
"cmp",
"hash",
"init",
"metadata",
"_validator",
"converter",
"type",
"kw_only",
)
__attrs_attrs__ = tuple(
Attribute(
name=name,
default=NOTHING,
validator=None,
repr=True,
cmp=True,
hash=True,
init=True,
kw_only=False,
)
for name in ("counter", "_default", "repr", "cmp", "hash", "init")
) + (
Attribute(
name="metadata",
default=None,
validator=None,
repr=True,
cmp=True,
hash=False,
init=True,
kw_only=False,
),
)
cls_counter = 0
def __init__(
self,
default,
validator,
repr,
cmp,
hash,
init,
converter,
metadata,
type,
kw_only,
):
_CountingAttr.cls_counter += 1
self.counter = _CountingAttr.cls_counter
self._default = default
# If validator is a list/tuple, wrap it using helper validator.
if validator and isinstance(validator, (list, tuple)):
self._validator = and_(*validator)
else:
self._validator = validator
self.repr = repr
self.cmp = cmp
self.hash = hash
self.init = init
self.converter = converter
self.metadata = metadata
self.type = type
self.kw_only = kw_only
def validator(self, meth):
"""
Decorator that adds *meth* to the list of validators.
Returns *meth* unchanged.
.. versionadded:: 17.1.0
"""
if self._validator is None:
self._validator = meth
else:
self._validator = and_(self._validator, meth)
return meth
def default(self, meth):
"""
Decorator that allows to set the default for an attribute.
Returns *meth* unchanged.
:raises DefaultAlreadySetError: If default has been set before.
.. versionadded:: 17.1.0
"""
if self._default is not NOTHING:
raise DefaultAlreadySetError()
self._default = Factory(meth, takes_self=True)
return meth
_CountingAttr = _add_cmp(_add_repr(_CountingAttr))
@attrs(slots=True, init=False, hash=True)
class Factory(object):
"""
Stores a factory callable.
If passed as the default value to :func:`attr.ib`, the factory is used to
generate a new value.
:param callable factory: A callable that takes either none or exactly one
mandatory positional argument depending on *takes_self*.
:param bool takes_self: Pass the partially initialized instance that is
being initialized as a positional argument.
.. versionadded:: 17.1.0 *takes_self*
"""
factory = attrib()
takes_self = attrib()
def __init__(self, factory, takes_self=False):
"""
`Factory` is part of the default machinery so if we want a default
value here, we have to implement it ourselves.
"""
self.factory = factory
self.takes_self = takes_self
def make_class(name, attrs, bases=(object,), **attributes_arguments):
"""
A quick way to create a new class called *name* with *attrs*.
:param name: The name for the new class.
:type name: str
:param attrs: A list of names or a dictionary of mappings of names to
attributes.
If *attrs* is a list or an ordered dict (:class:`dict` on Python 3.6+,
:class:`collections.OrderedDict` otherwise), the order is deduced from
the order of the names or attributes inside *attrs*. Otherwise the
order of the definition of the attributes is used.
:type attrs: :class:`list` or :class:`dict`
:param tuple bases: Classes that the new class will subclass.
:param attributes_arguments: Passed unmodified to :func:`attr.s`.
:return: A new class with *attrs*.
:rtype: type
.. versionadded:: 17.1.0 *bases*
.. versionchanged:: 18.1.0 If *attrs* is ordered, the order is retained.
"""
if isinstance(attrs, dict):
cls_dict = attrs
elif isinstance(attrs, (list, tuple)):
cls_dict = dict((a, attrib()) for a in attrs)
else:
raise TypeError("attrs argument must be a dict or a list.")
post_init = cls_dict.pop("__attrs_post_init__", None)
type_ = type(
name,
bases,
{} if post_init is None else {"__attrs_post_init__": post_init},
)
# For pickling to work, the __module__ variable needs to be set to the
# frame where the class is created. Bypass this step in environments where
# sys._getframe is not defined (Jython for example) or sys._getframe is not
# defined for arguments greater than 0 (IronPython).
try:
type_.__module__ = sys._getframe(1).f_globals.get(
"__name__", "__main__"
)
except (AttributeError, ValueError):
pass
return _attrs(these=cls_dict, **attributes_arguments)(type_)
# These are required by within this module so we define them here and merely
# import into .validators.
@attrs(slots=True, hash=True)
class _AndValidator(object):
"""
Compose many validators to a single one.
"""
_validators = attrib()
def __call__(self, inst, attr, value):
for v in self._validators:
v(inst, attr, value)
def and_(*validators):
"""
A validator that composes multiple validators into one.
When called on a value, it runs all wrapped validators.
:param validators: Arbitrary number of validators.
:type validators: callables
.. versionadded:: 17.1.0
"""
vals = []
for validator in validators:
vals.extend(
validator._validators
if isinstance(validator, _AndValidator)
else [validator]
)
return _AndValidator(tuple(vals))