Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍
https://github.com/madlabunimib/PyCTBN
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107 lines
3.1 KiB
107 lines
3.1 KiB
import functools
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import warnings
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__all__ = ["_deprecated"]
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def _deprecated(msg, stacklevel=2):
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"""Deprecate a function by emitting a warning on use."""
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def wrap(fun):
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if isinstance(fun, type):
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warnings.warn(
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"Trying to deprecate class {!r}".format(fun),
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category=RuntimeWarning, stacklevel=2)
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return fun
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@functools.wraps(fun)
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def call(*args, **kwargs):
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warnings.warn(msg, category=DeprecationWarning,
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stacklevel=stacklevel)
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return fun(*args, **kwargs)
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call.__doc__ = msg
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return call
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return wrap
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class _DeprecationHelperStr(object):
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"""
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Helper class used by deprecate_cython_api
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"""
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def __init__(self, content, message):
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self._content = content
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self._message = message
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def __hash__(self):
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return hash(self._content)
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def __eq__(self, other):
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res = (self._content == other)
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if res:
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warnings.warn(self._message, category=DeprecationWarning,
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stacklevel=2)
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return res
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def deprecate_cython_api(module, routine_name, new_name=None, message=None):
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"""
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Deprecate an exported cdef function in a public Cython API module.
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Only functions can be deprecated; typedefs etc. cannot.
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Parameters
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----------
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module : module
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Public Cython API module (e.g. scipy.linalg.cython_blas).
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routine_name : str
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Name of the routine to deprecate. May also be a fused-type
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routine (in which case its all specializations are deprecated).
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new_name : str
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New name to include in the deprecation warning message
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message : str
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Additional text in the deprecation warning message
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Examples
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--------
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Usually, this function would be used in the top-level of the
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module ``.pyx`` file:
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>>> from scipy._lib.deprecation import deprecate_cython_api
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>>> import scipy.linalg.cython_blas as mod
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>>> deprecate_cython_api(mod, "dgemm", "dgemm_new",
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... message="Deprecated in Scipy 1.5.0")
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>>> del deprecate_cython_api, mod
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After this, Cython modules that use the deprecated function emit a
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deprecation warning when they are imported.
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"""
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old_name = "{}.{}".format(module.__name__, routine_name)
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if new_name is None:
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depdoc = "`%s` is deprecated!" % old_name
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else:
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depdoc = "`%s` is deprecated, use `%s` instead!" % \
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(old_name, new_name)
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if message is not None:
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depdoc += "\n" + message
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d = module.__pyx_capi__
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# Check if the function is a fused-type function with a mangled name
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j = 0
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has_fused = False
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while True:
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fused_name = "__pyx_fuse_{}{}".format(j, routine_name)
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if fused_name in d:
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has_fused = True
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d[_DeprecationHelperStr(fused_name, depdoc)] = d.pop(fused_name)
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j += 1
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else:
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break
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# If not, apply deprecation to the named routine
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if not has_fused:
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d[_DeprecationHelperStr(routine_name, depdoc)] = d.pop(routine_name)
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