Inzynierka/Lib/site-packages/scipy/_lib/_uarray/_backend.py
2023-06-02 12:51:02 +02:00

704 lines
20 KiB
Python

import typing
import types
import inspect
import functools
from . import _uarray
import copyreg
import pickle
import contextlib
ArgumentExtractorType = typing.Callable[..., typing.Tuple["Dispatchable", ...]]
ArgumentReplacerType = typing.Callable[
[typing.Tuple, typing.Dict, typing.Tuple], typing.Tuple[typing.Tuple, typing.Dict]
]
from ._uarray import ( # type: ignore
BackendNotImplementedError,
_Function,
_SkipBackendContext,
_SetBackendContext,
_BackendState,
)
__all__ = [
"set_backend",
"set_global_backend",
"skip_backend",
"register_backend",
"determine_backend",
"determine_backend_multi",
"clear_backends",
"create_multimethod",
"generate_multimethod",
"_Function",
"BackendNotImplementedError",
"Dispatchable",
"wrap_single_convertor",
"wrap_single_convertor_instance",
"all_of_type",
"mark_as",
"set_state",
"get_state",
"reset_state",
"_BackendState",
"_SkipBackendContext",
"_SetBackendContext",
]
def unpickle_function(mod_name, qname, self_):
import importlib
try:
module = importlib.import_module(mod_name)
qname = qname.split(".")
func = module
for q in qname:
func = getattr(func, q)
if self_ is not None:
func = types.MethodType(func, self_)
return func
except (ImportError, AttributeError) as e:
from pickle import UnpicklingError
raise UnpicklingError from e
def pickle_function(func):
mod_name = getattr(func, "__module__", None)
qname = getattr(func, "__qualname__", None)
self_ = getattr(func, "__self__", None)
try:
test = unpickle_function(mod_name, qname, self_)
except pickle.UnpicklingError:
test = None
if test is not func:
raise pickle.PicklingError(
"Can't pickle {}: it's not the same object as {}".format(func, test)
)
return unpickle_function, (mod_name, qname, self_)
def pickle_state(state):
return _uarray._BackendState._unpickle, state._pickle()
def pickle_set_backend_context(ctx):
return _SetBackendContext, ctx._pickle()
def pickle_skip_backend_context(ctx):
return _SkipBackendContext, ctx._pickle()
copyreg.pickle(_Function, pickle_function)
copyreg.pickle(_uarray._BackendState, pickle_state)
copyreg.pickle(_SetBackendContext, pickle_set_backend_context)
copyreg.pickle(_SkipBackendContext, pickle_skip_backend_context)
def get_state():
"""
Returns an opaque object containing the current state of all the backends.
Can be used for synchronization between threads/processes.
See Also
--------
set_state
Sets the state returned by this function.
"""
return _uarray.get_state()
@contextlib.contextmanager
def reset_state():
"""
Returns a context manager that resets all state once exited.
See Also
--------
set_state
Context manager that sets the backend state.
get_state
Gets a state to be set by this context manager.
"""
with set_state(get_state()):
yield
@contextlib.contextmanager
def set_state(state):
"""
A context manager that sets the state of the backends to one returned by :obj:`get_state`.
See Also
--------
get_state
Gets a state to be set by this context manager.
"""
old_state = get_state()
_uarray.set_state(state)
try:
yield
finally:
_uarray.set_state(old_state, True)
def create_multimethod(*args, **kwargs):
"""
Creates a decorator for generating multimethods.
This function creates a decorator that can be used with an argument
extractor in order to generate a multimethod. Other than for the
argument extractor, all arguments are passed on to
:obj:`generate_multimethod`.
See Also
--------
generate_multimethod
Generates a multimethod.
"""
def wrapper(a):
return generate_multimethod(a, *args, **kwargs)
return wrapper
def generate_multimethod(
argument_extractor: ArgumentExtractorType,
argument_replacer: ArgumentReplacerType,
domain: str,
default: typing.Optional[typing.Callable] = None,
):
"""
Generates a multimethod.
Parameters
----------
argument_extractor : ArgumentExtractorType
A callable which extracts the dispatchable arguments. Extracted arguments
should be marked by the :obj:`Dispatchable` class. It has the same signature
as the desired multimethod.
argument_replacer : ArgumentReplacerType
A callable with the signature (args, kwargs, dispatchables), which should also
return an (args, kwargs) pair with the dispatchables replaced inside the args/kwargs.
domain : str
A string value indicating the domain of this multimethod.
default: Optional[Callable], optional
The default implementation of this multimethod, where ``None`` (the default) specifies
there is no default implementation.
Examples
--------
In this example, ``a`` is to be dispatched over, so we return it, while marking it as an ``int``.
The trailing comma is needed because the args have to be returned as an iterable.
>>> def override_me(a, b):
... return Dispatchable(a, int),
Next, we define the argument replacer that replaces the dispatchables inside args/kwargs with the
supplied ones.
>>> def override_replacer(args, kwargs, dispatchables):
... return (dispatchables[0], args[1]), {}
Next, we define the multimethod.
>>> overridden_me = generate_multimethod(
... override_me, override_replacer, "ua_examples"
... )
Notice that there's no default implementation, unless you supply one.
>>> overridden_me(1, "a")
Traceback (most recent call last):
...
uarray.BackendNotImplementedError: ...
>>> overridden_me2 = generate_multimethod(
... override_me, override_replacer, "ua_examples", default=lambda x, y: (x, y)
... )
>>> overridden_me2(1, "a")
(1, 'a')
See Also
--------
uarray
See the module documentation for how to override the method by creating backends.
"""
kw_defaults, arg_defaults, opts = get_defaults(argument_extractor)
ua_func = _Function(
argument_extractor,
argument_replacer,
domain,
arg_defaults,
kw_defaults,
default,
)
return functools.update_wrapper(ua_func, argument_extractor)
def set_backend(backend, coerce=False, only=False):
"""
A context manager that sets the preferred backend.
Parameters
----------
backend
The backend to set.
coerce
Whether or not to coerce to a specific backend's types. Implies ``only``.
only
Whether or not this should be the last backend to try.
See Also
--------
skip_backend: A context manager that allows skipping of backends.
set_global_backend: Set a single, global backend for a domain.
"""
try:
return backend.__ua_cache__["set", coerce, only]
except AttributeError:
backend.__ua_cache__ = {}
except KeyError:
pass
ctx = _SetBackendContext(backend, coerce, only)
backend.__ua_cache__["set", coerce, only] = ctx
return ctx
def skip_backend(backend):
"""
A context manager that allows one to skip a given backend from processing
entirely. This allows one to use another backend's code in a library that
is also a consumer of the same backend.
Parameters
----------
backend
The backend to skip.
See Also
--------
set_backend: A context manager that allows setting of backends.
set_global_backend: Set a single, global backend for a domain.
"""
try:
return backend.__ua_cache__["skip"]
except AttributeError:
backend.__ua_cache__ = {}
except KeyError:
pass
ctx = _SkipBackendContext(backend)
backend.__ua_cache__["skip"] = ctx
return ctx
def get_defaults(f):
sig = inspect.signature(f)
kw_defaults = {}
arg_defaults = []
opts = set()
for k, v in sig.parameters.items():
if v.default is not inspect.Parameter.empty:
kw_defaults[k] = v.default
if v.kind in (
inspect.Parameter.POSITIONAL_ONLY,
inspect.Parameter.POSITIONAL_OR_KEYWORD,
):
arg_defaults.append(v.default)
opts.add(k)
return kw_defaults, tuple(arg_defaults), opts
def set_global_backend(backend, coerce=False, only=False, *, try_last=False):
"""
This utility method replaces the default backend for permanent use. It
will be tried in the list of backends automatically, unless the
``only`` flag is set on a backend. This will be the first tried
backend outside the :obj:`set_backend` context manager.
Note that this method is not thread-safe.
.. warning::
We caution library authors against using this function in
their code. We do *not* support this use-case. This function
is meant to be used only by users themselves, or by a reference
implementation, if one exists.
Parameters
----------
backend
The backend to register.
coerce : bool
Whether to coerce input types when trying this backend.
only : bool
If ``True``, no more backends will be tried if this fails.
Implied by ``coerce=True``.
try_last : bool
If ``True``, the global backend is tried after registered backends.
See Also
--------
set_backend: A context manager that allows setting of backends.
skip_backend: A context manager that allows skipping of backends.
"""
_uarray.set_global_backend(backend, coerce, only, try_last)
def register_backend(backend):
"""
This utility method sets registers backend for permanent use. It
will be tried in the list of backends automatically, unless the
``only`` flag is set on a backend.
Note that this method is not thread-safe.
Parameters
----------
backend
The backend to register.
"""
_uarray.register_backend(backend)
def clear_backends(domain, registered=True, globals=False):
"""
This utility method clears registered backends.
.. warning::
We caution library authors against using this function in
their code. We do *not* support this use-case. This function
is meant to be used only by users themselves.
.. warning::
Do NOT use this method inside a multimethod call, or the
program is likely to crash.
Parameters
----------
domain : Optional[str]
The domain for which to de-register backends. ``None`` means
de-register for all domains.
registered : bool
Whether or not to clear registered backends. See :obj:`register_backend`.
globals : bool
Whether or not to clear global backends. See :obj:`set_global_backend`.
See Also
--------
register_backend : Register a backend globally.
set_global_backend : Set a global backend.
"""
_uarray.clear_backends(domain, registered, globals)
class Dispatchable:
"""
A utility class which marks an argument with a specific dispatch type.
Attributes
----------
value
The value of the Dispatchable.
type
The type of the Dispatchable.
Examples
--------
>>> x = Dispatchable(1, str)
>>> x
<Dispatchable: type=<class 'str'>, value=1>
See Also
--------
all_of_type
Marks all unmarked parameters of a function.
mark_as
Allows one to create a utility function to mark as a given type.
"""
def __init__(self, value, dispatch_type, coercible=True):
self.value = value
self.type = dispatch_type
self.coercible = coercible
def __getitem__(self, index):
return (self.type, self.value)[index]
def __str__(self):
return "<{0}: type={1!r}, value={2!r}>".format(
type(self).__name__, self.type, self.value
)
__repr__ = __str__
def mark_as(dispatch_type):
"""
Creates a utility function to mark something as a specific type.
Examples
--------
>>> mark_int = mark_as(int)
>>> mark_int(1)
<Dispatchable: type=<class 'int'>, value=1>
"""
return functools.partial(Dispatchable, dispatch_type=dispatch_type)
def all_of_type(arg_type):
"""
Marks all unmarked arguments as a given type.
Examples
--------
>>> @all_of_type(str)
... def f(a, b):
... return a, Dispatchable(b, int)
>>> f('a', 1)
(<Dispatchable: type=<class 'str'>, value='a'>, <Dispatchable: type=<class 'int'>, value=1>)
"""
def outer(func):
@functools.wraps(func)
def inner(*args, **kwargs):
extracted_args = func(*args, **kwargs)
return tuple(
Dispatchable(arg, arg_type)
if not isinstance(arg, Dispatchable)
else arg
for arg in extracted_args
)
return inner
return outer
def wrap_single_convertor(convert_single):
"""
Wraps a ``__ua_convert__`` defined for a single element to all elements.
If any of them return ``NotImplemented``, the operation is assumed to be
undefined.
Accepts a signature of (value, type, coerce).
"""
@functools.wraps(convert_single)
def __ua_convert__(dispatchables, coerce):
converted = []
for d in dispatchables:
c = convert_single(d.value, d.type, coerce and d.coercible)
if c is NotImplemented:
return NotImplemented
converted.append(c)
return converted
return __ua_convert__
def wrap_single_convertor_instance(convert_single):
"""
Wraps a ``__ua_convert__`` defined for a single element to all elements.
If any of them return ``NotImplemented``, the operation is assumed to be
undefined.
Accepts a signature of (value, type, coerce).
"""
@functools.wraps(convert_single)
def __ua_convert__(self, dispatchables, coerce):
converted = []
for d in dispatchables:
c = convert_single(self, d.value, d.type, coerce and d.coercible)
if c is NotImplemented:
return NotImplemented
converted.append(c)
return converted
return __ua_convert__
def determine_backend(value, dispatch_type, *, domain, only=True, coerce=False):
"""Set the backend to the first active backend that supports ``value``
This is useful for functions that call multimethods without any dispatchable
arguments. You can use :func:`determine_backend` to ensure the same backend
is used everywhere in a block of multimethod calls.
Parameters
----------
value
The value being tested
dispatch_type
The dispatch type associated with ``value``, aka
":ref:`marking <MarkingGlossary>`".
domain: string
The domain to query for backends and set.
coerce: bool
Whether or not to allow coercion to the backend's types. Implies ``only``.
only: bool
Whether or not this should be the last backend to try.
See Also
--------
set_backend: For when you know which backend to set
Notes
-----
Support is determined by the ``__ua_convert__`` protocol. Backends not
supporting the type must return ``NotImplemented`` from their
``__ua_convert__`` if they don't support input of that type.
Examples
--------
Suppose we have two backends ``BackendA`` and ``BackendB`` each supporting
different types, ``TypeA`` and ``TypeB``. Neither supporting the other type:
>>> with ua.set_backend(ex.BackendA):
... ex.call_multimethod(ex.TypeB(), ex.TypeB())
Traceback (most recent call last):
...
uarray.BackendNotImplementedError: ...
Now consider a multimethod that creates a new object of ``TypeA``, or
``TypeB`` depending on the active backend.
>>> with ua.set_backend(ex.BackendA), ua.set_backend(ex.BackendB):
... res = ex.creation_multimethod()
... ex.call_multimethod(res, ex.TypeA())
Traceback (most recent call last):
...
uarray.BackendNotImplementedError: ...
``res`` is an object of ``TypeB`` because ``BackendB`` is set in the
innermost with statement. So, ``call_multimethod`` fails since the types
don't match.
Instead, we need to first find a backend suitable for all of our objects.
>>> with ua.set_backend(ex.BackendA), ua.set_backend(ex.BackendB):
... x = ex.TypeA()
... with ua.determine_backend(x, "mark", domain="ua_examples"):
... res = ex.creation_multimethod()
... ex.call_multimethod(res, x)
TypeA
"""
dispatchables = (Dispatchable(value, dispatch_type, coerce),)
backend = _uarray.determine_backend(domain, dispatchables, coerce)
return set_backend(backend, coerce=coerce, only=only)
def determine_backend_multi(
dispatchables, *, domain, only=True, coerce=False, **kwargs
):
"""Set a backend supporting all ``dispatchables``
This is useful for functions that call multimethods without any dispatchable
arguments. You can use :func:`determine_backend_multi` to ensure the same
backend is used everywhere in a block of multimethod calls involving
multiple arrays.
Parameters
----------
dispatchables: Sequence[Union[uarray.Dispatchable, Any]]
The dispatchables that must be supported
domain: string
The domain to query for backends and set.
coerce: bool
Whether or not to allow coercion to the backend's types. Implies ``only``.
only: bool
Whether or not this should be the last backend to try.
dispatch_type: Optional[Any]
The default dispatch type associated with ``dispatchables``, aka
":ref:`marking <MarkingGlossary>`".
See Also
--------
determine_backend: For a single dispatch value
set_backend: For when you know which backend to set
Notes
-----
Support is determined by the ``__ua_convert__`` protocol. Backends not
supporting the type must return ``NotImplemented`` from their
``__ua_convert__`` if they don't support input of that type.
Examples
--------
:func:`determine_backend` allows the backend to be set from a single
object. :func:`determine_backend_multi` allows multiple objects to be
checked simultaneously for support in the backend. Suppose we have a
``BackendAB`` which supports ``TypeA`` and ``TypeB`` in the same call,
and a ``BackendBC`` that doesn't support ``TypeA``.
>>> with ua.set_backend(ex.BackendAB), ua.set_backend(ex.BackendBC):
... a, b = ex.TypeA(), ex.TypeB()
... with ua.determine_backend_multi(
... [ua.Dispatchable(a, "mark"), ua.Dispatchable(b, "mark")],
... domain="ua_examples"
... ):
... res = ex.creation_multimethod()
... ex.call_multimethod(res, a, b)
TypeA
This won't call ``BackendBC`` because it doesn't support ``TypeA``.
We can also use leave out the ``ua.Dispatchable`` if we specify the
default ``dispatch_type`` for the ``dispatchables`` argument.
>>> with ua.set_backend(ex.BackendAB), ua.set_backend(ex.BackendBC):
... a, b = ex.TypeA(), ex.TypeB()
... with ua.determine_backend_multi(
... [a, b], dispatch_type="mark", domain="ua_examples"
... ):
... res = ex.creation_multimethod()
... ex.call_multimethod(res, a, b)
TypeA
"""
if "dispatch_type" in kwargs:
disp_type = kwargs.pop("dispatch_type")
dispatchables = tuple(
d if isinstance(d, Dispatchable) else Dispatchable(d, disp_type)
for d in dispatchables
)
else:
dispatchables = tuple(dispatchables)
if not all(isinstance(d, Dispatchable) for d in dispatchables):
raise TypeError("dispatchables must be instances of uarray.Dispatchable")
if len(kwargs) != 0:
raise TypeError("Received unexpected keyword arguments: {}".format(kwargs))
backend = _uarray.determine_backend(domain, dispatchables, coerce)
return set_backend(backend, coerce=coerce, only=only)