# This code is part of Qiskit.
#
# (C) Copyright IBM 2017, 2022.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any modifications or derivative works of this code must retain this
# copyright notice, and modified files need to carry a notice indicating
# that they have been altered from the originals.
"""Deprecation utilities"""
from __future__ import annotations
import functools
import inspect
import warnings
from typing import Any, Callable, Dict, Optional, Type, Tuple, Union
[docs]def deprecate_func(
*,
since: str,
additional_msg: Optional[str] = None,
pending: bool = False,
package_name: str = "qiskit-terra",
removal_timeline: str = "no earlier than 3 months after the release date",
is_property: bool = False,
):
"""Decorator to indicate a function has been deprecated.
It should be placed beneath other decorators like `@staticmethod` and property decorators.
When deprecating a class, set this decorator on its `__init__` function.
Args:
since: The version the deprecation started at. If the deprecation is pending, set
the version to when that started; but later, when switching from pending to
deprecated, update ``since`` to the new version.
additional_msg: Put here any additional information, such as what to use instead.
For example, "Instead, use the function ``new_func`` from the module
``<my_module>.<my_submodule>``, which is similar but uses GPU acceleration."
pending: Set to ``True`` if the deprecation is still pending.
package_name: The PyPI package name, e.g. "qiskit-nature".
removal_timeline: How soon can this deprecation be removed? Expects a value
like "no sooner than 6 months after the latest release" or "in release 9.99".
is_property: If the deprecated function is a `@property`, set this to True so that the
generated message correctly describes it as such. (This isn't necessary for
property setters, as their docstring is ignored by Python.)
Returns:
Callable: The decorated callable.
"""
def decorator(func):
qualname = func.__qualname__ # For methods, `qualname` includes the class name.
mod_name = func.__module__
# Detect what function type this is.
if is_property:
# `inspect.isdatadescriptor()` doesn't work because you must apply our decorator
# before `@property`, so it looks like the function is a normal method.
deprecated_entity = f"The property ``{mod_name}.{qualname}``"
# To determine if's a method, we use the heuristic of looking for a `.` in the qualname.
# This is because top-level functions will only have the function name. This is not
# perfect, e.g. it incorrectly classifies nested/inner functions, but we don't expect
# those to be deprecated.
#
# We can't use `inspect.ismethod()` because that only works when calling it on an instance
# of the class, rather than the class type itself, i.e. `ismethod(C().foo)` vs
# `ismethod(C.foo)`.
elif "." in qualname:
if func.__name__ == "__init__":
cls_name = qualname[: -len(".__init__")]
deprecated_entity = f"The class ``{mod_name}.{cls_name}``"
else:
deprecated_entity = f"The method ``{mod_name}.{qualname}()``"
else:
deprecated_entity = f"The function ``{mod_name}.{qualname}()``"
msg, category = _write_deprecation_msg(
deprecated_entity=deprecated_entity,
package_name=package_name,
since=since,
pending=pending,
additional_msg=additional_msg,
removal_timeline=removal_timeline,
)
@functools.wraps(func)
def wrapper(*args, **kwargs):
warnings.warn(msg, category=category, stacklevel=2)
return func(*args, **kwargs)
add_deprecation_to_docstring(wrapper, msg, since=since, pending=pending)
return wrapper
return decorator
[docs]def deprecate_arg(
name: str,
*,
since: str,
additional_msg: Optional[str] = None,
deprecation_description: Optional[str] = None,
pending: bool = False,
package_name: str = "qiskit-terra",
new_alias: Optional[str] = None,
predicate: Optional[Callable[[Any], bool]] = None,
removal_timeline: str = "no earlier than 3 months after the release date",
):
"""Decorator to indicate an argument has been deprecated in some way.
This decorator may be used multiple times on the same function, once per deprecated argument.
It should be placed beneath other decorators like ``@staticmethod`` and property decorators.
Args:
name: The name of the deprecated argument.
since: The version the deprecation started at. If the deprecation is pending, set
the version to when that started; but later, when switching from pending to
deprecated, update `since` to the new version.
deprecation_description: What is being deprecated? E.g. "Setting my_func()'s `my_arg`
argument to `None`." If not set, will default to "{func_name}'s argument `{name}`".
additional_msg: Put here any additional information, such as what to use instead
(if new_alias is not set). For example, "Instead, use the argument `new_arg`,
which is similar but does not impact the circuit's setup."
pending: Set to `True` if the deprecation is still pending.
package_name: The PyPI package name, e.g. "qiskit-nature".
new_alias: If the arg has simply been renamed, set this to the new name. The decorator will
dynamically update the `kwargs` so that when the user sets the old arg, it will be
passed in as the `new_alias` arg.
predicate: Only log the runtime warning if the predicate returns True. This is useful to
deprecate certain values or types for an argument, e.g.
`lambda my_arg: isinstance(my_arg, dict)`. Regardless of if a predicate is set, the
runtime warning will only log when the user specifies the argument.
removal_timeline: How soon can this deprecation be removed? Expects a value
like "no sooner than 6 months after the latest release" or "in release 9.99".
Returns:
Callable: The decorated callable.
"""
def decorator(func):
# For methods, `__qualname__` includes the class name.
func_name = f"{func.__module__}.{func.__qualname__}()"
deprecated_entity = deprecation_description or f"``{func_name}``'s argument ``{name}``"
if new_alias:
alias_msg = f"Instead, use the argument ``{new_alias}``, which behaves identically."
if additional_msg:
final_additional_msg = f"{alias_msg}. {additional_msg}"
else:
final_additional_msg = alias_msg
else:
final_additional_msg = additional_msg
msg, category = _write_deprecation_msg(
deprecated_entity=deprecated_entity,
package_name=package_name,
since=since,
pending=pending,
additional_msg=final_additional_msg,
removal_timeline=removal_timeline,
)
@functools.wraps(func)
def wrapper(*args, **kwargs):
_maybe_warn_and_rename_kwarg(
args,
kwargs,
func_name=func_name,
original_func_co_varnames=wrapper.__original_func_co_varnames,
old_arg_name=name,
new_alias=new_alias,
warning_msg=msg,
category=category,
predicate=predicate,
)
return func(*args, **kwargs)
# When decorators get called repeatedly, `func` refers to the result of the prior
# decorator, not the original underlying function. This trick allows us to record the
# original function's variable names regardless of how many decorators are used.
#
# If it's the very first decorator call, we also check that *args and **kwargs are not used.
if hasattr(func, "__original_func_co_varnames"):
wrapper.__original_func_co_varnames = func.__original_func_co_varnames
else:
wrapper.__original_func_co_varnames = func.__code__.co_varnames
param_kinds = {param.kind for param in inspect.signature(func).parameters.values()}
if inspect.Parameter.VAR_POSITIONAL in param_kinds:
raise ValueError(
"@deprecate_arg cannot be used with functions that take variable *args. Use "
"warnings.warn() directly instead."
)
add_deprecation_to_docstring(wrapper, msg, since=since, pending=pending)
return wrapper
return decorator
[docs]def deprecate_arguments(
kwarg_map: Dict[str, Optional[str]],
category: Type[Warning] = DeprecationWarning,
*,
since: Optional[str] = None,
):
"""Deprecated. Instead, use `@deprecate_arg`.
Args:
kwarg_map: A dictionary of the old argument name to the new name.
category: Usually either DeprecationWarning or PendingDeprecationWarning.
since: The version the deprecation started at. Only Optional for backwards
compatibility - this should always be set. If the deprecation is pending, set
the version to when that started; but later, when switching from pending to
deprecated, update `since` to the new version.
Returns:
Callable: The decorated callable.
"""
def decorator(func):
func_name = func.__qualname__
old_kwarg_to_msg = {}
for old_arg, new_arg in kwarg_map.items():
msg_suffix = (
"will in the future be removed." if new_arg is None else f"replaced with {new_arg}."
)
old_kwarg_to_msg[
old_arg
] = f"{func_name} keyword argument {old_arg} is deprecated and {msg_suffix}"
@functools.wraps(func)
def wrapper(*args, **kwargs):
for old, new in kwarg_map.items():
_maybe_warn_and_rename_kwarg(
args,
kwargs,
func_name=func_name,
original_func_co_varnames=wrapper.__original_func_co_varnames,
old_arg_name=old,
new_alias=new,
warning_msg=old_kwarg_to_msg[old],
category=category,
predicate=None,
)
return func(*args, **kwargs)
# When decorators get called repeatedly, `func` refers to the result of the prior
# decorator, not the original underlying function. This trick allows us to record the
# original function's variable names regardless of how many decorators are used.
#
# If it's the very first decorator call, we also check that *args and **kwargs are not used.
if hasattr(func, "__original_func_co_varnames"):
wrapper.__original_func_co_varnames = func.__original_func_co_varnames
else:
wrapper.__original_func_co_varnames = func.__code__.co_varnames
param_kinds = {param.kind for param in inspect.signature(func).parameters.values()}
if inspect.Parameter.VAR_POSITIONAL in param_kinds:
raise ValueError(
"@deprecate_arg cannot be used with functions that take variable *args. Use "
"warnings.warn() directly instead."
)
for msg in old_kwarg_to_msg.values():
add_deprecation_to_docstring(
wrapper, msg, since=since, pending=issubclass(category, PendingDeprecationWarning)
)
return wrapper
return decorator
[docs]def deprecate_function(
msg: str,
stacklevel: int = 2,
category: Type[Warning] = DeprecationWarning,
*,
since: Optional[str] = None,
):
"""Deprecated. Instead, use `@deprecate_func`.
Args:
msg: Warning message to emit.
stacklevel: The warning stacklevel to use, defaults to 2.
category: Usually either DeprecationWarning or PendingDeprecationWarning.
since: The version the deprecation started at. Only Optional for backwards
compatibility - this should always be set. If the deprecation is pending, set
the version to when that started; but later, when switching from pending to
deprecated, update `since` to the new version.
Returns:
Callable: The decorated, deprecated callable.
"""
def decorator(func):
@functools.wraps(func)
def wrapper(*args, **kwargs):
warnings.warn(msg, category=category, stacklevel=stacklevel)
return func(*args, **kwargs)
add_deprecation_to_docstring(
wrapper, msg, since=since, pending=issubclass(category, PendingDeprecationWarning)
)
return wrapper
return decorator
def _maybe_warn_and_rename_kwarg(
args: tuple[Any, ...],
kwargs: Dict[str, Any],
*,
func_name: str,
original_func_co_varnames: tuple[str, ...],
old_arg_name: str,
new_alias: Optional[str],
warning_msg: str,
category: Type[Warning],
predicate: Optional[Callable[[Any], bool]],
) -> None:
# In Python 3.10+, we should set `zip(strict=False)` (the default). That is, we want to
# stop iterating once `args` is done, since some args may have not been explicitly passed as
# positional args.
arg_names_to_values = {name: val for val, name in zip(args, original_func_co_varnames)}
arg_names_to_values.update(kwargs)
if old_arg_name not in arg_names_to_values:
return
if new_alias and new_alias in arg_names_to_values:
raise TypeError(f"{func_name} received both {new_alias} and {old_arg_name} (deprecated).")
val = arg_names_to_values[old_arg_name]
if predicate and not predicate(val):
return
warnings.warn(warning_msg, category=category, stacklevel=3)
# Finally, if there's a new_alias, add its value dynamically to kwargs so that the code author
# only has to deal with the new_alias in their logic.
if new_alias is not None:
kwargs[new_alias] = val
def _write_deprecation_msg(
*,
deprecated_entity: str,
package_name: str,
since: str,
pending: bool,
additional_msg: str,
removal_timeline: str,
) -> Tuple[str, Union[Type[DeprecationWarning], Type[PendingDeprecationWarning]]]:
if pending:
category = PendingDeprecationWarning
deprecation_status = "pending deprecation"
removal_desc = f"marked deprecated in a future release, and then removed {removal_timeline}"
else:
category = DeprecationWarning
deprecation_status = "deprecated"
removal_desc = f"removed {removal_timeline}"
msg = (
f"{deprecated_entity} is {deprecation_status} as of {package_name} {since}. "
f"It will be {removal_desc}."
)
if additional_msg:
msg += f" {additional_msg}"
return msg, category
# We insert deprecations in-between the description and Napoleon's meta sections. The below is from
# https://www.sphinx-doc.org/en/master/usage/extensions/napoleon.html#docstring-sections. We use
# lowercase because Napoleon is case-insensitive.
_NAPOLEON_META_LINES = frozenset(
{
"args:",
"arguments:",
"attention:",
"attributes:",
"caution:",
"danger:",
"error:",
"example:",
"examples:",
"hint:",
"important:",
"keyword args:",
"keyword arguments:",
"note:",
"notes:",
"other parameters:",
"parameters:",
"return:",
"returns:",
"raises:",
"references:",
"see also:",
"tip:",
"todo:",
"warning:",
"warnings:",
"warn:",
"warns:",
"yield:",
"yields:",
}
)
[docs]def add_deprecation_to_docstring(
func: Callable, msg: str, *, since: Optional[str], pending: bool
) -> None:
"""Dynamically insert the deprecation message into ``func``'s docstring.
Args:
func: The function to modify.
msg: The full deprecation message.
since: The version the deprecation started at.
pending: Is the deprecation still pending?
"""
if "\n" in msg:
raise ValueError(
"Deprecation messages cannot contain new lines (`\\n`), but the deprecation for "
f'{func.__qualname__} had them. Usually this happens when using `"""` multiline '
f"strings; instead, use string concatenation.\n\n"
"This is a simplification to facilitate deprecation messages being added to the "
"documentation. If you have a compelling reason to need "
"new lines, feel free to improve this function or open a request at "
"https://github.com/Qiskit/qiskit-terra/issues."
)
if since is None:
version_str = "unknown"
else:
version_str = f"{since}_pending" if pending else since
indent = ""
meta_index = None
if func.__doc__:
original_lines = func.__doc__.splitlines()
content_encountered = False
for i, line in enumerate(original_lines):
stripped = line.strip()
# Determine the indent based on the first line with content. But, we don't consider the
# first line, which corresponds to the format """Docstring.""", as it does not properly
# capture the indentation of lines beneath it.
if not content_encountered and i != 0 and stripped:
num_leading_spaces = len(line) - len(line.lstrip())
indent = " " * num_leading_spaces
content_encountered = True
if stripped.lower() in _NAPOLEON_META_LINES:
meta_index = i
if not content_encountered:
raise ValueError(
"add_deprecation_to_docstring cannot currently handle when a Napoleon "
"metadata line like 'Args' is the very first line of docstring, "
f'e.g. `"""Args:`. So, it cannot process {func.__qualname__}. Instead, '
f'move the metadata line to the second line, e.g.:\n\n"""\nArgs:'
)
# We can stop checking since we only care about the first meta line, and
# we've validated content_encountered is True to determine the indent.
break
else:
original_lines = []
# We defensively include new lines in the beginning and end. This is sometimes necessary,
# depending on the original docstring. It is not a big deal to have extra, other than `help()`
# being a little longer.
new_lines = [
indent,
f"{indent}.. deprecated:: {version_str}",
f"{indent} {msg}",
indent,
]
if meta_index:
original_lines[meta_index - 1 : meta_index - 1] = new_lines
else:
original_lines.extend(new_lines)
func.__doc__ = "\n".join(original_lines)