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externals: add attrs for new jsonschema

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Updating `jsonschema` to 3.2.0 requires `attrs`. Add it to externals.
This commit is contained in:
Todd Gamblin 2021-12-19 11:18:42 -08:00
parent 90592b3cbe
commit f83e0fb81a
16 changed files with 4928 additions and 0 deletions
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4
COPYRIGHT
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@ -38,6 +38,10 @@ PackageName: argparse
PackageHomePage: https://pypi.python.org/pypi/argparse
PackageLicenseDeclared: Python-2.0
PackageName: attrs
PackageHomePage: https://github.com/python-attrs/attrs
PackageLicenseDeclared: MIT
PackageName: ctest_log_parser
PackageHomePage: https://github.com/Kitware/CMake
PackageLicenseDeclared: BSD-3-Clause

7
lib/spack/external/__init__.py vendored
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@ -24,6 +24,13 @@
vendored copy ever needs to be updated again:
https://github.com/spack/spack/pull/6786/commits/dfcef577b77249106ea4e4c69a6cd9e64fa6c418
attrs
----------------
* Homepage: https://github.com/python-attrs/attrs
* Usage: Needed by jsonschema.
* Version: 21.2.0 (83d3cd70f90a3f4d19ee8b508e58d1c58821c0ad)
ctest_log_parser
----------------

21
lib/spack/external/attr/LICENSE vendored Normal file
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@ -0,0 +1,21 @@
The MIT License (MIT)
Copyright (c) 2015 Hynek Schlawack
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

78
lib/spack/external/attr/__init__.py vendored Normal file
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from __future__ import absolute_import, division, print_function
import sys
from functools import partial
from . import converters, exceptions, filters, setters, validators
from ._cmp import cmp_using
from ._config import get_run_validators, set_run_validators
from ._funcs import asdict, assoc, astuple, evolve, has, resolve_types
from ._make import (
NOTHING,
Attribute,
Factory,
attrib,
attrs,
fields,
fields_dict,
make_class,
validate,
)
from ._version_info import VersionInfo
__version__ = "21.2.0"
__version_info__ = VersionInfo._from_version_string(__version__)
__title__ = "attrs"
__description__ = "Classes Without Boilerplate"
__url__ = "https://www.attrs.org/"
__uri__ = __url__
__doc__ = __description__ + " <" + __uri__ + ">"
__author__ = "Hynek Schlawack"
__email__ = "hs@ox.cx"
__license__ = "MIT"
__copyright__ = "Copyright (c) 2015 Hynek Schlawack"
s = attributes = attrs
ib = attr = attrib
dataclass = partial(attrs, auto_attribs=True) # happy Easter ;)
__all__ = [
"Attribute",
"Factory",
"NOTHING",
"asdict",
"assoc",
"astuple",
"attr",
"attrib",
"attributes",
"attrs",
"cmp_using",
"converters",
"evolve",
"exceptions",
"fields",
"fields_dict",
"filters",
"get_run_validators",
"has",
"ib",
"make_class",
"resolve_types",
"s",
"set_run_validators",
"setters",
"validate",
"validators",
]
if sys.version_info[:2] >= (3, 6):
from ._next_gen import define, field, frozen, mutable
__all__.extend((define, field, frozen, mutable))

152
lib/spack/external/attr/_cmp.py vendored Normal file
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from __future__ import absolute_import, division, print_function
import functools
from ._compat import new_class
from ._make import _make_ne
_operation_names = {"eq": "==", "lt": "<", "le": "<=", "gt": ">", "ge": ">="}
def cmp_using(
eq=None,
lt=None,
le=None,
gt=None,
ge=None,
require_same_type=True,
class_name="Comparable",
):
"""
Create a class that can be passed into `attr.ib`'s ``eq``, ``order``, and
``cmp`` arguments to customize field comparison.
The resulting class will have a full set of ordering methods if
at least one of ``{lt, le, gt, ge}`` and ``eq`` are provided.
:param Optional[callable] eq: `callable` used to evaluate equality
of two objects.
:param Optional[callable] lt: `callable` used to evaluate whether
one object is less than another object.
:param Optional[callable] le: `callable` used to evaluate whether
one object is less than or equal to another object.
:param Optional[callable] gt: `callable` used to evaluate whether
one object is greater than another object.
:param Optional[callable] ge: `callable` used to evaluate whether
one object is greater than or equal to another object.
:param bool require_same_type: When `True`, equality and ordering methods
will return `NotImplemented` if objects are not of the same type.
:param Optional[str] class_name: Name of class. Defaults to 'Comparable'.
See `comparison` for more details.
.. versionadded:: 21.1.0
"""
body = {
"__slots__": ["value"],
"__init__": _make_init(),
"_requirements": [],
"_is_comparable_to": _is_comparable_to,
}
# Add operations.
num_order_functions = 0
has_eq_function = False
if eq is not None:
has_eq_function = True
body["__eq__"] = _make_operator("eq", eq)
body["__ne__"] = _make_ne()
if lt is not None:
num_order_functions += 1
body["__lt__"] = _make_operator("lt", lt)
if le is not None:
num_order_functions += 1
body["__le__"] = _make_operator("le", le)
if gt is not None:
num_order_functions += 1
body["__gt__"] = _make_operator("gt", gt)
if ge is not None:
num_order_functions += 1
body["__ge__"] = _make_operator("ge", ge)
type_ = new_class(class_name, (object,), {}, lambda ns: ns.update(body))
# Add same type requirement.
if require_same_type:
type_._requirements.append(_check_same_type)
# Add total ordering if at least one operation was defined.
if 0 < num_order_functions < 4:
if not has_eq_function:
# functools.total_ordering requires __eq__ to be defined,
# so raise early error here to keep a nice stack.
raise ValueError(
"eq must be define is order to complete ordering from "
"lt, le, gt, ge."
)
type_ = functools.total_ordering(type_)
return type_
def _make_init():
"""
Create __init__ method.
"""
def __init__(self, value):
"""
Initialize object with *value*.
"""
self.value = value
return __init__
def _make_operator(name, func):
"""
Create operator method.
"""
def method(self, other):
if not self._is_comparable_to(other):
return NotImplemented
result = func(self.value, other.value)
if result is NotImplemented:
return NotImplemented
return result
method.__name__ = "__%s__" % (name,)
method.__doc__ = "Return a %s b. Computed by attrs." % (
_operation_names[name],
)
return method
def _is_comparable_to(self, other):
"""
Check whether `other` is comparable to `self`.
"""
for func in self._requirements:
if not func(self, other):
return False
return True
def _check_same_type(self, other):
"""
Return True if *self* and *other* are of the same type, False otherwise.
"""
return other.value.__class__ is self.value.__class__

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from __future__ import absolute_import, division, print_function
import platform
import sys
import types
import warnings
PY2 = sys.version_info[0] == 2
PYPY = platform.python_implementation() == "PyPy"
if PYPY or sys.version_info[:2] >= (3, 6):
ordered_dict = dict
else:
from collections import OrderedDict
ordered_dict = OrderedDict
if PY2:
from collections import Mapping, Sequence
from UserDict import IterableUserDict
# We 'bundle' isclass instead of using inspect as importing inspect is
# fairly expensive (order of 10-15 ms for a modern machine in 2016)
def isclass(klass):
return isinstance(klass, (type, types.ClassType))
def new_class(name, bases, kwds, exec_body):
"""
A minimal stub of types.new_class that we need for make_class.
"""
ns = {}
exec_body(ns)
return type(name, bases, ns)
# TYPE is used in exceptions, repr(int) is different on Python 2 and 3.
TYPE = "type"
def iteritems(d):
return d.iteritems()
# Python 2 is bereft of a read-only dict proxy, so we make one!
class ReadOnlyDict(IterableUserDict):
"""
Best-effort read-only dict wrapper.
"""
def __setitem__(self, key, val):
# We gently pretend we're a Python 3 mappingproxy.
raise TypeError(
"'mappingproxy' object does not support item assignment"
)
def update(self, _):
# We gently pretend we're a Python 3 mappingproxy.
raise AttributeError(
"'mappingproxy' object has no attribute 'update'"
)
def __delitem__(self, _):
# We gently pretend we're a Python 3 mappingproxy.
raise TypeError(
"'mappingproxy' object does not support item deletion"
)
def clear(self):
# We gently pretend we're a Python 3 mappingproxy.
raise AttributeError(
"'mappingproxy' object has no attribute 'clear'"
)
def pop(self, key, default=None):
# We gently pretend we're a Python 3 mappingproxy.
raise AttributeError(
"'mappingproxy' object has no attribute 'pop'"
)
def popitem(self):
# We gently pretend we're a Python 3 mappingproxy.
raise AttributeError(
"'mappingproxy' object has no attribute 'popitem'"
)
def setdefault(self, key, default=None):
# We gently pretend we're a Python 3 mappingproxy.
raise AttributeError(
"'mappingproxy' object has no attribute 'setdefault'"
)
def __repr__(self):
# Override to be identical to the Python 3 version.
return "mappingproxy(" + repr(self.data) + ")"
def metadata_proxy(d):
res = ReadOnlyDict()
res.data.update(d) # We blocked update, so we have to do it like this.
return res
def just_warn(*args, **kw): # pragma: no cover
"""
We only warn on Python 3 because we are not aware of any concrete
consequences of not setting the cell on Python 2.
"""
else: # Python 3 and later.
from collections.abc import Mapping, Sequence # noqa
def just_warn(*args, **kw):
"""
We only warn on Python 3 because we are not aware of any concrete
consequences of not setting the cell on Python 2.
"""
warnings.warn(
"Running interpreter doesn't sufficiently support code object "
"introspection. Some features like bare super() or accessing "
"__class__ will not work with slotted classes.",
RuntimeWarning,
stacklevel=2,
)
def isclass(klass):
return isinstance(klass, type)
TYPE = "class"
def iteritems(d):
return d.items()
new_class = types.new_class
def metadata_proxy(d):
return types.MappingProxyType(dict(d))
def make_set_closure_cell():
"""Return a function of two arguments (cell, value) which sets
the value stored in the closure cell `cell` to `value`.
"""
# pypy makes this easy. (It also supports the logic below, but
# why not do the easy/fast thing?)
if PYPY:
def set_closure_cell(cell, value):
cell.__setstate__((value,))
return set_closure_cell
# Otherwise gotta do it the hard way.
# Create a function that will set its first cellvar to `value`.
def set_first_cellvar_to(value):
x = value
return
# This function will be eliminated as dead code, but
# not before its reference to `x` forces `x` to be
# represented as a closure cell rather than a local.
def force_x_to_be_a_cell(): # pragma: no cover
return x
try:
# Extract the code object and make sure our assumptions about
# the closure behavior are correct.
if PY2:
co = set_first_cellvar_to.func_code
else:
co = set_first_cellvar_to.__code__
if co.co_cellvars != ("x",) or co.co_freevars != ():
raise AssertionError # pragma: no cover
# Convert this code object to a code object that sets the
# function's first _freevar_ (not cellvar) to the argument.
if sys.version_info >= (3, 8):
# CPython 3.8+ has an incompatible CodeType signature
# (added a posonlyargcount argument) but also added
# CodeType.replace() to do this without counting parameters.
set_first_freevar_code = co.replace(
co_cellvars=co.co_freevars, co_freevars=co.co_cellvars
)
else:
args = [co.co_argcount]
if not PY2:
args.append(co.co_kwonlyargcount)
args.extend(
[
co.co_nlocals,
co.co_stacksize,
co.co_flags,
co.co_code,
co.co_consts,
co.co_names,
co.co_varnames,
co.co_filename,
co.co_name,
co.co_firstlineno,
co.co_lnotab,
# These two arguments are reversed:
co.co_cellvars,
co.co_freevars,
]
)
set_first_freevar_code = types.CodeType(*args)
def set_closure_cell(cell, value):
# Create a function using the set_first_freevar_code,
# whose first closure cell is `cell`. Calling it will
# change the value of that cell.
setter = types.FunctionType(
set_first_freevar_code, {}, "setter", (), (cell,)
)
# And call it to set the cell.
setter(value)
# Make sure it works on this interpreter:
def make_func_with_cell():
x = None
def func():
return x # pragma: no cover
return func
if PY2:
cell = make_func_with_cell().func_closure[0]
else:
cell = make_func_with_cell().__closure__[0]
set_closure_cell(cell, 100)
if cell.cell_contents != 100:
raise AssertionError # pragma: no cover
except Exception:
return just_warn
else:
return set_closure_cell
set_closure_cell = make_set_closure_cell()

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from __future__ import absolute_import, division, print_function
__all__ = ["set_run_validators", "get_run_validators"]
_run_validators = True
def set_run_validators(run):
"""
Set whether or not validators are run. By default, they are run.
"""
if not isinstance(run, bool):
raise TypeError("'run' must be bool.")
global _run_validators
_run_validators = run
def get_run_validators():
"""
Return whether or not validators are run.
"""
return _run_validators

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from __future__ import absolute_import, division, print_function
import copy
from ._compat import iteritems
from ._make import NOTHING, _obj_setattr, fields
from .exceptions import AttrsAttributeNotFoundError
def asdict(
inst,
recurse=True,
filter=None,
dict_factory=dict,
retain_collection_types=False,
value_serializer=None,
):
"""
Return the ``attrs`` attribute values of *inst* as a dict.
Optionally recurse into other ``attrs``-decorated classes.
:param inst: Instance of an ``attrs``-decorated class.
:param bool recurse: Recurse into classes that are also
``attrs``-decorated.
:param callable filter: A callable whose return code determines whether an
attribute or element is included (``True``) or dropped (``False``). Is
called with the `attr.Attribute` as the first argument and the
value as the second argument.
:param callable dict_factory: A callable to produce dictionaries from. For
example, to produce ordered dictionaries instead of normal Python
dictionaries, pass in ``collections.OrderedDict``.
:param bool retain_collection_types: Do not convert to ``list`` when
encountering an attribute whose type is ``tuple`` or ``set``. Only
meaningful if ``recurse`` is ``True``.
:param Optional[callable] value_serializer: A hook that is called for every
attribute or dict key/value. It receives the current instance, field
and value and must return the (updated) value. The hook is run *after*
the optional *filter* has been applied.
:rtype: return type of *dict_factory*
:raise attr.exceptions.NotAnAttrsClassError: If *cls* is not an ``attrs``
class.
.. versionadded:: 16.0.0 *dict_factory*
.. versionadded:: 16.1.0 *retain_collection_types*
.. versionadded:: 20.3.0 *value_serializer*
"""
attrs = fields(inst.__class__)
rv = dict_factory()
for a in attrs:
v = getattr(inst, a.name)
if filter is not None and not filter(a, v):
continue
if value_serializer is not None:
v = value_serializer(inst, a, v)
if recurse is True:
if has(v.__class__):
rv[a.name] = asdict(
v,
True,
filter,
dict_factory,
retain_collection_types,
value_serializer,
)
elif isinstance(v, (tuple, list, set, frozenset)):
cf = v.__class__ if retain_collection_types is True else list
rv[a.name] = cf(
[
_asdict_anything(
i,
filter,
dict_factory,
retain_collection_types,
value_serializer,
)
for i in v
]
)
elif isinstance(v, dict):
df = dict_factory
rv[a.name] = df(
(
_asdict_anything(
kk,
filter,
df,
retain_collection_types,
value_serializer,
),
_asdict_anything(
vv,
filter,
df,
retain_collection_types,
value_serializer,
),
)
for kk, vv in iteritems(v)
)
else:
rv[a.name] = v
else:
rv[a.name] = v
return rv
def _asdict_anything(
val,
filter,
dict_factory,
retain_collection_types,
value_serializer,
):
"""
``asdict`` only works on attrs instances, this works on anything.
"""
if getattr(val.__class__, "__attrs_attrs__", None) is not None:
# Attrs class.
rv = asdict(
val,
True,
filter,
dict_factory,
retain_collection_types,
value_serializer,
)
elif isinstance(val, (tuple, list, set, frozenset)):
cf = val.__class__ if retain_collection_types is True else list
rv = cf(
[
_asdict_anything(
i,
filter,
dict_factory,
retain_collection_types,
value_serializer,
)
for i in val
]
)
elif isinstance(val, dict):
df = dict_factory
rv = df(
(
_asdict_anything(
kk, filter, df, retain_collection_types, value_serializer
),
_asdict_anything(
vv, filter, df, retain_collection_types, value_serializer
),
)
for kk, vv in iteritems(val)
)
else:
rv = val
if value_serializer is not None:
rv = value_serializer(None, None, rv)
return rv
def astuple(
inst,
recurse=True,
filter=None,
tuple_factory=tuple,
retain_collection_types=False,
):
"""
Return the ``attrs`` attribute values of *inst* as a tuple.
Optionally recurse into other ``attrs``-decorated classes.
:param inst: Instance of an ``attrs``-decorated class.
:param bool recurse: Recurse into classes that are also
``attrs``-decorated.
:param callable filter: A callable whose return code determines whether an
attribute or element is included (``True``) or dropped (``False``). Is
called with the `attr.Attribute` as the first argument and the
value as the second argument.
:param callable tuple_factory: A callable to produce tuples from. For
example, to produce lists instead of tuples.
:param bool retain_collection_types: Do not convert to ``list``
or ``dict`` when encountering an attribute which type is
``tuple``, ``dict`` or ``set``. Only meaningful if ``recurse`` is
``True``.
:rtype: return type of *tuple_factory*
:raise attr.exceptions.NotAnAttrsClassError: If *cls* is not an ``attrs``
class.
.. versionadded:: 16.2.0
"""
attrs = fields(inst.__class__)
rv = []
retain = retain_collection_types # Very long. :/
for a in attrs:
v = getattr(inst, a.name)
if filter is not None and not filter(a, v):
continue
if recurse is True:
if has(v.__class__):
rv.append(
astuple(
v,
recurse=True,
filter=filter,
tuple_factory=tuple_factory,
retain_collection_types=retain,
)
)
elif isinstance(v, (tuple, list, set, frozenset)):
cf = v.__class__ if retain is True else list
rv.append(
cf(
[
astuple(
j,
recurse=True,
filter=filter,
tuple_factory=tuple_factory,
retain_collection_types=retain,
)
if has(j.__class__)
else j
for j in v
]
)
)
elif isinstance(v, dict):
df = v.__class__ if retain is True else dict
rv.append(
df(
(
astuple(
kk,
tuple_factory=tuple_factory,
retain_collection_types=retain,
)
if has(kk.__class__)
else kk,
astuple(
vv,
tuple_factory=tuple_factory,
retain_collection_types=retain,
)
if has(vv.__class__)
else vv,
)
for kk, vv in iteritems(v)
)
)
else:
rv.append(v)
else:
rv.append(v)
return rv if tuple_factory is list else tuple_factory(rv)
def has(cls):
"""
Check whether *cls* is a class with ``attrs`` attributes.
:param type cls: Class to introspect.
:raise TypeError: If *cls* is not a class.
:rtype: bool
"""
return getattr(cls, "__attrs_attrs__", None) is not None
def assoc(inst, **changes):
"""
Copy *inst* and apply *changes*.
:param inst: Instance of a class with ``attrs`` attributes.
:param changes: Keyword changes in the new copy.
:return: A copy of inst with *changes* incorporated.
:raise attr.exceptions.AttrsAttributeNotFoundError: If *attr_name* couldn't
be found on *cls*.
:raise attr.exceptions.NotAnAttrsClassError: If *cls* is not an ``attrs``
class.
.. deprecated:: 17.1.0
Use `evolve` instead.
"""
import warnings
warnings.warn(
"assoc is deprecated and will be removed after 2018/01.",
DeprecationWarning,
stacklevel=2,
)
new = copy.copy(inst)
attrs = fields(inst.__class__)
for k, v in iteritems(changes):
a = getattr(attrs, k, NOTHING)
if a is NOTHING:
raise AttrsAttributeNotFoundError(
"{k} is not an attrs attribute on {cl}.".format(
k=k, cl=new.__class__
)
)
_obj_setattr(new, k, v)
return new
def evolve(inst, **changes):
"""
Create a new instance, based on *inst* with *changes* applied.
:param inst: Instance of a class with ``attrs`` attributes.
:param changes: Keyword changes in the new copy.
:return: A copy of inst with *changes* incorporated.
:raise TypeError: If *attr_name* couldn't be found in the class
``__init__``.
:raise attr.exceptions.NotAnAttrsClassError: If *cls* is not an ``attrs``
class.
.. versionadded:: 17.1.0
"""
cls = inst.__class__
attrs = fields(cls)
for a in attrs:
if not a.init:
continue
attr_name = a.name # To deal with private attributes.
init_name = attr_name if attr_name[0] != "_" else attr_name[1:]
if init_name not in changes:
changes[init_name] = getattr(inst, attr_name)
return cls(**changes)
def resolve_types(cls, globalns=None, localns=None, attribs=None):
"""
Resolve any strings and forward annotations in type annotations.
This is only required if you need concrete types in `Attribute`'s *type*
field. In other words, you don't need to resolve your types if you only
use them for static type checking.
With no arguments, names will be looked up in the module in which the class
was created. If this is not what you want, e.g. if the name only exists
inside a method, you may pass *globalns* or *localns* to specify other
dictionaries in which to look up these names. See the docs of
`typing.get_type_hints` for more details.
:param type cls: Class to resolve.
:param Optional[dict] globalns: Dictionary containing global variables.
:param Optional[dict] localns: Dictionary containing local variables.
:param Optional[list] attribs: List of attribs for the given class.
This is necessary when calling from inside a ``field_transformer``
since *cls* is not an ``attrs`` class yet.
:raise TypeError: If *cls* is not a class.
:raise attr.exceptions.NotAnAttrsClassError: If *cls* is not an ``attrs``
class and you didn't pass any attribs.
:raise NameError: If types cannot be resolved because of missing variables.
:returns: *cls* so you can use this function also as a class decorator.
Please note that you have to apply it **after** `attr.s`. That means
the decorator has to come in the line **before** `attr.s`.
.. versionadded:: 20.1.0
.. versionadded:: 21.1.0 *attribs*
"""
try:
# Since calling get_type_hints is expensive we cache whether we've
# done it already.
cls.__attrs_types_resolved__
except AttributeError:
import typing
hints = typing.get_type_hints(cls, globalns=globalns, localns=localns)
for field in fields(cls) if attribs is None else attribs:
if field.name in hints:
# Since fields have been frozen we must work around it.
_obj_setattr(field, "type", hints[field.name])
cls.__attrs_types_resolved__ = True
# Return the class so you can use it as a decorator too.
return cls

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"""
These are Python 3.6+-only and keyword-only APIs that call `attr.s` and
`attr.ib` with different default values.
"""
from functools import partial
from attr.exceptions import UnannotatedAttributeError
from . import setters
from ._make import NOTHING, _frozen_setattrs, attrib, attrs
def define(
maybe_cls=None,
*,
these=None,
repr=None,
hash=None,
init=None,
slots=True,
frozen=False,
weakref_slot=True,
str=False,
auto_attribs=None,
kw_only=False,
cache_hash=False,
auto_exc=True,
eq=None,
order=False,
auto_detect=True,
getstate_setstate=None,
on_setattr=None,
field_transformer=None,
):
r"""
The only behavioral differences are the handling of the *auto_attribs*
option:
:param Optional[bool] auto_attribs: If set to `True` or `False`, it behaves
exactly like `attr.s`. If left `None`, `attr.s` will try to guess:
1. If any attributes are annotated and no unannotated `attr.ib`\ s
are found, it assumes *auto_attribs=True*.
2. Otherwise it assumes *auto_attribs=False* and tries to collect
`attr.ib`\ s.
and that mutable classes (``frozen=False``) validate on ``__setattr__``.
.. versionadded:: 20.1.0
"""
def do_it(cls, auto_attribs):
return attrs(
maybe_cls=cls,
these=these,
repr=repr,
hash=hash,
init=init,
slots=slots,
frozen=frozen,
weakref_slot=weakref_slot,
str=str,
auto_attribs=auto_attribs,
kw_only=kw_only,
cache_hash=cache_hash,
auto_exc=auto_exc,
eq=eq,
order=order,
auto_detect=auto_detect,
collect_by_mro=True,
getstate_setstate=getstate_setstate,
on_setattr=on_setattr,
field_transformer=field_transformer,
)
def wrap(cls):
"""
Making this a wrapper ensures this code runs during class creation.
We also ensure that frozen-ness of classes is inherited.
"""
nonlocal frozen, on_setattr
had_on_setattr = on_setattr not in (None, setters.NO_OP)
# By default, mutable classes validate on setattr.
if frozen is False and on_setattr is None:
on_setattr = setters.validate
# However, if we subclass a frozen class, we inherit the immutability
# and disable on_setattr.
for base_cls in cls.__bases__:
if base_cls.__setattr__ is _frozen_setattrs:
if had_on_setattr:
raise ValueError(
"Frozen classes can't use on_setattr "
"(frozen-ness was inherited)."
)
on_setattr = setters.NO_OP
break
if auto_attribs is not None:
return do_it(cls, auto_attribs)
try:
return do_it(cls, True)
except UnannotatedAttributeError:
return do_it(cls, False)
# 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)
mutable = define
frozen = partial(define, frozen=True, on_setattr=None)
def field(
*,
default=NOTHING,
validator=None,
repr=True,
hash=None,
init=True,
metadata=None,
converter=None,
factory=None,
kw_only=False,
eq=None,
order=None,
on_setattr=None,
):
"""
Identical to `attr.ib`, except keyword-only and with some arguments
removed.
.. versionadded:: 20.1.0
"""
return attrib(
default=default,
validator=validator,
repr=repr,
hash=hash,
init=init,
metadata=metadata,
converter=converter,
factory=factory,
kw_only=kw_only,
eq=eq,
order=order,
on_setattr=on_setattr,
)

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from __future__ import absolute_import, division, print_function
from functools import total_ordering
from ._funcs import astuple
from ._make import attrib, attrs
@total_ordering
@attrs(eq=False, order=False, slots=True, frozen=True)
class VersionInfo(object):
"""
A version object that can be compared to tuple of length 1--4:
>>> attr.VersionInfo(19, 1, 0, "final") <= (19, 2)
True
>>> attr.VersionInfo(19, 1, 0, "final") < (19, 1, 1)
True
>>> vi = attr.VersionInfo(19, 2, 0, "final")
>>> vi < (19, 1, 1)
False
>>> vi < (19,)
False
>>> vi == (19, 2,)
True
>>> vi == (19, 2, 1)
False
.. versionadded:: 19.2
"""
year = attrib(type=int)
minor = attrib(type=int)
micro = attrib(type=int)
releaselevel = attrib(type=str)
@classmethod
def _from_version_string(cls, s):
"""
Parse *s* and return a _VersionInfo.
"""
v = s.split(".")
if len(v) == 3:
v.append("final")
return cls(
year=int(v[0]), minor=int(v[1]), micro=int(v[2]), releaselevel=v[3]
)
def _ensure_tuple(self, other):
"""
Ensure *other* is a tuple of a valid length.
Returns a possibly transformed *other* and ourselves as a tuple of
the same length as *other*.
"""
if self.__class__ is other.__class__:
other = astuple(other)
if not isinstance(other, tuple):
raise NotImplementedError
if not (1 <= len(other) <= 4):
raise NotImplementedError
return astuple(self)[: len(other)], other
def __eq__(self, other):
try:
us, them = self._ensure_tuple(other)
except NotImplementedError:
return NotImplemented
return us == them
def __lt__(self, other):
try:
us, them = self._ensure_tuple(other)
except NotImplementedError:
return NotImplemented
# Since alphabetically "dev0" < "final" < "post1" < "post2", we don't
# have to do anything special with releaselevel for now.
return us < them

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"""
Commonly useful converters.
"""
from __future__ import absolute_import, division, print_function
from ._compat import PY2
from ._make import NOTHING, Factory, pipe
if not PY2:
import inspect
import typing
__all__ = [
"pipe",
"optional",
"default_if_none",
]
def optional(converter):
"""
A converter that allows an attribute to be optional. An optional attribute
is one which can be set to ``None``.
Type annotations will be inferred from the wrapped converter's, if it
has any.
:param callable converter: the converter that is used for non-``None``
values.
.. versionadded:: 17.1.0
"""
def optional_converter(val):
if val is None:
return None
return converter(val)
if not PY2:
sig = None
try:
sig = inspect.signature(converter)
except (ValueError, TypeError): # inspect failed
pass
if sig:
params = list(sig.parameters.values())
if params and params[0].annotation is not inspect.Parameter.empty:
optional_converter.__annotations__["val"] = typing.Optional[
params[0].annotation
]
if sig.return_annotation is not inspect.Signature.empty:
optional_converter.__annotations__["return"] = typing.Optional[
sig.return_annotation
]
return optional_converter
def default_if_none(default=NOTHING, factory=None):
"""
A converter that allows to replace ``None`` values by *default* or the
result of *factory*.
:param default: Value to be used if ``None`` is passed. Passing an instance
of `attr.Factory` is supported, however the ``takes_self`` option
is *not*.
:param callable factory: A callable that takes no parameters whose result
is used if ``None`` is passed.
:raises TypeError: If **neither** *default* or *factory* is passed.
:raises TypeError: If **both** *default* and *factory* are passed.
:raises ValueError: If an instance of `attr.Factory` is passed with
``takes_self=True``.
.. versionadded:: 18.2.0
"""
if default is NOTHING and factory is None:
raise TypeError("Must pass either `default` or `factory`.")
if default is not NOTHING and factory is not None:
raise TypeError(
"Must pass either `default` or `factory` but not both."
)
if factory is not None:
default = Factory(factory)
if isinstance(default, Factory):
if default.takes_self:
raise ValueError(
"`takes_self` is not supported by default_if_none."
)
def default_if_none_converter(val):
if val is not None:
return val
return default.factory()
else:
def default_if_none_converter(val):
if val is not None:
return val
return default
return default_if_none_converter

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from __future__ import absolute_import, division, print_function
class FrozenError(AttributeError):
"""
A frozen/immutable instance or attribute have been attempted to be
modified.
It mirrors the behavior of ``namedtuples`` by using the same error message
and subclassing `AttributeError`.
.. versionadded:: 20.1.0
"""
msg = "can't set attribute"
args = [msg]
class FrozenInstanceError(FrozenError):
"""
A frozen instance has been attempted to be modified.
.. versionadded:: 16.1.0
"""
class FrozenAttributeError(FrozenError):
"""
A frozen attribute has been attempted to be modified.
.. versionadded:: 20.1.0
"""
class AttrsAttributeNotFoundError(ValueError):
"""
An ``attrs`` function couldn't find an attribute that the user asked for.
.. versionadded:: 16.2.0
"""
class NotAnAttrsClassError(ValueError):
"""
A non-``attrs`` class has been passed into an ``attrs`` function.
.. versionadded:: 16.2.0
"""
class DefaultAlreadySetError(RuntimeError):
"""
A default has been set using ``attr.ib()`` and is attempted to be reset
using the decorator.
.. versionadded:: 17.1.0
"""
class UnannotatedAttributeError(RuntimeError):
"""
A class with ``auto_attribs=True`` has an ``attr.ib()`` without a type
annotation.
.. versionadded:: 17.3.0
"""
class PythonTooOldError(RuntimeError):
"""
It was attempted to use an ``attrs`` feature that requires a newer Python
version.
.. versionadded:: 18.2.0
"""
class NotCallableError(TypeError):
"""
A ``attr.ib()`` requiring a callable has been set with a value
that is not callable.
.. versionadded:: 19.2.0
"""
def __init__(self, msg, value):
super(TypeError, self).__init__(msg, value)
self.msg = msg
self.value = value
def __str__(self):
return str(self.msg)

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"""
Commonly useful filters for `attr.asdict`.
"""
from __future__ import absolute_import, division, print_function
from ._compat import isclass
from ._make import Attribute
def _split_what(what):
"""
Returns a tuple of `frozenset`s of classes and attributes.
"""
return (
frozenset(cls for cls in what if isclass(cls)),
frozenset(cls for cls in what if isinstance(cls, Attribute)),
)
def include(*what):
"""
Whitelist *what*.
:param what: What to whitelist.
:type what: `list` of `type` or `attr.Attribute`\\ s
:rtype: `callable`
"""
cls, attrs = _split_what(what)
def include_(attribute, value):
return value.__class__ in cls or attribute in attrs
return include_
def exclude(*what):
"""
Blacklist *what*.
:param what: What to blacklist.
:type what: `list` of classes or `attr.Attribute`\\ s.
:rtype: `callable`
"""
cls, attrs = _split_what(what)
def exclude_(attribute, value):
return value.__class__ not in cls and attribute not in attrs
return exclude_

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"""
Commonly used hooks for on_setattr.
"""
from __future__ import absolute_import, division, print_function
from . import _config
from .exceptions import FrozenAttributeError
def pipe(*setters):
"""
Run all *setters* and return the return value of the last one.
.. versionadded:: 20.1.0
"""
def wrapped_pipe(instance, attrib, new_value):
rv = new_value
for setter in setters:
rv = setter(instance, attrib, rv)
return rv
return wrapped_pipe
def frozen(_, __, ___):
"""
Prevent an attribute to be modified.
.. versionadded:: 20.1.0
"""
raise FrozenAttributeError()
def validate(instance, attrib, new_value):
"""
Run *attrib*'s validator on *new_value* if it has one.
.. versionadded:: 20.1.0
"""
if _config._run_validators is False:
return new_value
v = attrib.validator
if not v:
return new_value
v(instance, attrib, new_value)
return new_value
def convert(instance, attrib, new_value):
"""
Run *attrib*'s converter -- if it has one -- on *new_value* and return the
result.
.. versionadded:: 20.1.0
"""
c = attrib.converter
if c:
return c(new_value)
return new_value
NO_OP = object()
"""
Sentinel for disabling class-wide *on_setattr* hooks for certain attributes.
Does not work in `pipe` or within lists.
.. versionadded:: 20.1.0
"""

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"""
Commonly useful validators.
"""
from __future__ import absolute_import, division, print_function
import re
from ._make import _AndValidator, and_, attrib, attrs
from .exceptions import NotCallableError
__all__ = [
"and_",
"deep_iterable",
"deep_mapping",
"in_",
"instance_of",
"is_callable",
"matches_re",
"optional",
"provides",
]
@attrs(repr=False, slots=True, hash=True)
class _InstanceOfValidator(object):
type = attrib()
def __call__(self, inst, attr, value):
"""
We use a callable class to be able to change the ``__repr__``.
"""
if not isinstance(value, self.type):
raise TypeError(
"'{name}' must be {type!r} (got {value!r} that is a "
"{actual!r}).".format(
name=attr.name,
type=self.type,
actual=value.__class__,
value=value,
),
attr,
self.type,
value,
)
def __repr__(self):
return "<instance_of validator for type {type!r}>".format(
type=self.type
)
def instance_of(type):
"""
A validator that raises a `TypeError` if the initializer is called
with a wrong type for this particular attribute (checks are performed using
`isinstance` therefore it's also valid to pass a tuple of types).
:param type: The type to check for.
:type type: type or tuple of types
:raises TypeError: With a human readable error message, the attribute
(of type `attr.Attribute`), the expected type, and the value it
got.
"""
return _InstanceOfValidator(type)
@attrs(repr=False, frozen=True, slots=True)
class _MatchesReValidator(object):
regex = attrib()
flags = attrib()
match_func = attrib()
def __call__(self, inst, attr, value):
"""
We use a callable class to be able to change the ``__repr__``.
"""
if not self.match_func(value):
raise ValueError(
"'{name}' must match regex {regex!r}"
" ({value!r} doesn't)".format(
name=attr.name, regex=self.regex.pattern, value=value
),
attr,
self.regex,
value,
)
def __repr__(self):
return "<matches_re validator for pattern {regex!r}>".format(
regex=self.regex
)
def matches_re(regex, flags=0, func=None):
r"""
A validator that raises `ValueError` if the initializer is called
with a string that doesn't match *regex*.
:param str regex: a regex string to match against
:param int flags: flags that will be passed to the underlying re function
(default 0)
:param callable func: which underlying `re` function to call (options
are `re.fullmatch`, `re.search`, `re.match`, default
is ``None`` which means either `re.fullmatch` or an emulation of
it on Python 2). For performance reasons, they won't be used directly
but on a pre-`re.compile`\ ed pattern.
.. versionadded:: 19.2.0
"""
fullmatch = getattr(re, "fullmatch", None)
valid_funcs = (fullmatch, None, re.search, re.match)
if func not in valid_funcs:
raise ValueError(
"'func' must be one of %s."
% (
", ".join(
sorted(
e and e.__name__ or "None" for e in set(valid_funcs)
)
),
)
)
pattern = re.compile(regex, flags)
if func is re.match:
match_func = pattern.match
elif func is re.search:
match_func = pattern.search
else:
if fullmatch:
match_func = pattern.fullmatch
else:
pattern = re.compile(r"(?:{})\Z".format(regex), flags)
match_func = pattern.match
return _MatchesReValidator(pattern, flags, match_func)
@attrs(repr=False, slots=True, hash=True)
class _ProvidesValidator(object):
interface = attrib()
def __call__(self, inst, attr, value):
"""
We use a callable class to be able to change the ``__repr__``.
"""
if not self.interface.providedBy(value):
raise TypeError(
"'{name}' must provide {interface!r} which {value!r} "
"doesn't.".format(
name=attr.name, interface=self.interface, value=value
),
attr,
self.interface,
value,
)
def __repr__(self):
return "<provides validator for interface {interface!r}>".format(
interface=self.interface
)
def provides(interface):
"""
A validator that raises a `TypeError` if the initializer is called
with an object that does not provide the requested *interface* (checks are
performed using ``interface.providedBy(value)`` (see `zope.interface
<https://zopeinterface.readthedocs.io/en/latest/>`_).
:param interface: The interface to check for.
:type interface: ``zope.interface.Interface``
:raises TypeError: With a human readable error message, the attribute
(of type `attr.Attribute`), the expected interface, and the
value it got.
"""
return _ProvidesValidator(interface)
@attrs(repr=False, slots=True, hash=True)
class _OptionalValidator(object):
validator = attrib()
def __call__(self, inst, attr, value):
if value is None:
return
self.validator(inst, attr, value)
def __repr__(self):
return "<optional validator for {what} or None>".format(
what=repr(self.validator)
)
def optional(validator):
"""
A validator that makes an attribute optional. An optional attribute is one
which can be set to ``None`` in addition to satisfying the requirements of
the sub-validator.
:param validator: A validator (or a list of validators) that is used for
non-``None`` values.
:type validator: callable or `list` of callables.
.. versionadded:: 15.1.0
.. versionchanged:: 17.1.0 *validator* can be a list of validators.
"""
if isinstance(validator, list):
return _OptionalValidator(_AndValidator(validator))
return _OptionalValidator(validator)
@attrs(repr=False, slots=True, hash=True)
class _InValidator(object):
options = attrib()
def __call__(self, inst, attr, value):
try:
in_options = value in self.options
except TypeError: # e.g. `1 in "abc"`
in_options = False
if not in_options:
raise ValueError(
"'{name}' must be in {options!r} (got {value!r})".format(
name=attr.name, options=self.options, value=value
)
)
def __repr__(self):
return "<in_ validator with options {options!r}>".format(
options=self.options
)
def in_(options):
"""
A validator that raises a `ValueError` if the initializer is called
with a value that does not belong in the options provided. The check is
performed using ``value in options``.
:param options: Allowed options.
:type options: list, tuple, `enum.Enum`, ...
:raises ValueError: With a human readable error message, the attribute (of
type `attr.Attribute`), the expected options, and the value it
got.
.. versionadded:: 17.1.0
"""
return _InValidator(options)
@attrs(repr=False, slots=False, hash=True)
class _IsCallableValidator(object):
def __call__(self, inst, attr, value):
"""
We use a callable class to be able to change the ``__repr__``.
"""
if not callable(value):
message = (
"'{name}' must be callable "
"(got {value!r} that is a {actual!r})."
)
raise NotCallableError(
msg=message.format(
name=attr.name, value=value, actual=value.__class__
),
value=value,
)
def __repr__(self):
return "<is_callable validator>"
def is_callable():
"""
A validator that raises a `attr.exceptions.NotCallableError` if the
initializer is called with a value for this particular attribute
that is not callable.
.. versionadded:: 19.1.0
:raises `attr.exceptions.NotCallableError`: With a human readable error
message containing the attribute (`attr.Attribute`) name,
and the value it got.
"""
return _IsCallableValidator()
@attrs(repr=False, slots=True, hash=True)
class _DeepIterable(object):
member_validator = attrib(validator=is_callable())
iterable_validator = attrib(
default=None, validator=optional(is_callable())
)
def __call__(self, inst, attr, value):
"""
We use a callable class to be able to change the ``__repr__``.
"""
if self.iterable_validator is not None:
self.iterable_validator(inst, attr, value)
for member in value:
self.member_validator(inst, attr, member)
def __repr__(self):
iterable_identifier = (
""
if self.iterable_validator is None
else " {iterable!r}".format(iterable=self.iterable_validator)
)
return (
"<deep_iterable validator for{iterable_identifier}"
" iterables of {member!r}>"
).format(
iterable_identifier=iterable_identifier,
member=self.member_validator,
)
def deep_iterable(member_validator, iterable_validator=None):
"""
A validator that performs deep validation of an iterable.
:param member_validator: Validator to apply to iterable members
:param iterable_validator: Validator to apply to iterable itself
(optional)
.. versionadded:: 19.1.0
:raises TypeError: if any sub-validators fail
"""
return _DeepIterable(member_validator, iterable_validator)
@attrs(repr=False, slots=True, hash=True)
class _DeepMapping(object):
key_validator = attrib(validator=is_callable())
value_validator = attrib(validator=is_callable())
mapping_validator = attrib(default=None, validator=optional(is_callable()))
def __call__(self, inst, attr, value):
"""
We use a callable class to be able to change the ``__repr__``.
"""
if self.mapping_validator is not None:
self.mapping_validator(inst, attr, value)
for key in value:
self.key_validator(inst, attr, key)
self.value_validator(inst, attr, value[key])
def __repr__(self):
return (
"<deep_mapping validator for objects mapping {key!r} to {value!r}>"
).format(key=self.key_validator, value=self.value_validator)
def deep_mapping(key_validator, value_validator, mapping_validator=None):
"""
A validator that performs deep validation of a dictionary.
:param key_validator: Validator to apply to dictionary keys
:param value_validator: Validator to apply to dictionary values
:param mapping_validator: Validator to apply to top-level mapping
attribute (optional)
.. versionadded:: 19.1.0
:raises TypeError: if any sub-validators fail
"""
return _DeepMapping(key_validator, value_validator, mapping_validator)