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Get the current way of handling special-function errors.
Returns
-------
err : dict
A dictionary with keys "singular", "underflow", "overflow",
"slow", "loss", "no_result", "domain", "arg", and "other",
whose values are from the strings "ignore", "warn", and
"raise". The keys represent possible special-function errors,
and the values define how these errors are handled.
See Also
--------
seterr : set how special-function errors are handled
errstate : context manager for special-function error handling
numpy.geterr : similar numpy function for floating-point errors
Notes
-----
For complete documentation of the types of special-function errors
and treatment options, see `seterr`.
Examples
--------
By default all errors are ignored.
>>> import scipy.special as sc
>>> for key, value in sorted(sc.geterr().items()):
... print("{}: {}".format(key, value))
...
arg: ignore
domain: ignore
loss: ignore
no_result: ignore
other: ignore
overflow: ignore
singular: ignore
slow: ignore
underflow: ignore
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