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linedance-app/venv/lib/python3.12/site-packages/sklearn/utils/deprecation.py

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+# Authors: The scikit-learn developers
+# SPDX-License-Identifier: BSD-3-Clause
+
+import functools
+import warnings
+from inspect import signature
+
+__all__ = ["deprecated"]
+
+
+class deprecated:
+    """Decorator to mark a function or class as deprecated.
+
+    Issue a warning when the function is called/the class is instantiated and
+    adds a warning to the docstring.
+
+    The optional extra argument will be appended to the deprecation message
+    and the docstring. Note: to use this with the default value for extra, put
+    in an empty of parentheses:
+
+    Examples
+    --------
+    >>> from sklearn.utils import deprecated
+    >>> deprecated()
+    <sklearn.utils.deprecation.deprecated object at ...>
+    >>> @deprecated()
+    ... def some_function(): pass
+
+    Parameters
+    ----------
+    extra : str, default=''
+          To be added to the deprecation messages.
+    """
+
+    # Adapted from https://wiki.python.org/moin/PythonDecoratorLibrary,
+    # but with many changes.
+
+    def __init__(self, extra=""):
+        self.extra = extra
+
+    def __call__(self, obj):
+        """Call method
+
+        Parameters
+        ----------
+        obj : object
+        """
+        if isinstance(obj, type):
+            return self._decorate_class(obj)
+        elif isinstance(obj, property):
+            # Note that this is only triggered properly if the `deprecated`
+            # decorator is placed before the `property` decorator, like so:
+            #
+            # @deprecated(msg)
+            # @property
+            # def deprecated_attribute_(self):
+            #     ...
+            return self._decorate_property(obj)
+        else:
+            return self._decorate_fun(obj)
+
+    def _decorate_class(self, cls):
+        msg = "Class %s is deprecated" % cls.__name__
+        if self.extra:
+            msg += "; %s" % self.extra
+
+        new = cls.__new__
+        sig = signature(cls)
+
+        def wrapped(cls, *args, **kwargs):
+            warnings.warn(msg, category=FutureWarning)
+            if new is object.__new__:
+                return object.__new__(cls)
+
+            return new(cls, *args, **kwargs)
+
+        cls.__new__ = wrapped
+
+        wrapped.__name__ = "__new__"
+        wrapped.deprecated_original = new
+        # Restore the original signature, see PEP 362.
+        cls.__signature__ = sig
+
+        return cls
+
+    def _decorate_fun(self, fun):
+        """Decorate function fun"""
+
+        msg = "Function %s is deprecated" % fun.__name__
+        if self.extra:
+            msg += "; %s" % self.extra
+
+        @functools.wraps(fun)
+        def wrapped(*args, **kwargs):
+            warnings.warn(msg, category=FutureWarning)
+            return fun(*args, **kwargs)
+
+        # Add a reference to the wrapped function so that we can introspect
+        # on function arguments in Python 2 (already works in Python 3)
+        wrapped.__wrapped__ = fun
+
+        return wrapped
+
+    def _decorate_property(self, prop):
+        msg = self.extra
+
+        @property
+        @functools.wraps(prop.fget)
+        def wrapped(*args, **kwargs):
+            warnings.warn(msg, category=FutureWarning)
+            return prop.fget(*args, **kwargs)
+
+        return wrapped
+
+
+def _is_deprecated(func):
+    """Helper to check if func is wrapped by our deprecated decorator"""
+    closures = getattr(func, "__closure__", [])
+    if closures is None:
+        closures = []
+    is_deprecated = "deprecated" in "".join(
+        [c.cell_contents for c in closures if isinstance(c.cell_contents, str)]
+    )
+    return is_deprecated