Floating point error handling — NumPy v2.6.dev0 Manual
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seterr([all, divide, over, under, invalid]) Set how floating-point errors are handled. geterr() Get the current way of handling floating-point errors. seterrcall(func) Set the floating-point error callback function or lo
How numpy handles numerical exceptions#
seterr([all, divide, over, under, invalid]) Set how floating-point errors are handled. geterr() Get the current way of handling floating-point errors. seterrcall(func) Set the floating-point error callback function or lo
How numpy handles numerical exceptions#
Error handling settings are stored in contextvars allowing different threads or async tasks to have independent configurations. For more information, see Context Local State.
How numpy handles numerical exceptions#
Error handling settings are stored in contextvars allowing different threads or async tasks to have independent configurations. For more information, see Context Local State.
How numpy handles numerical exceptions#
Error handling settings are stored in contextvars allowing different threads or async tasks to have independent configurations. For more information, see Context Local State.
How numpy handles numerical exceptions#
Error handling settings are stored in contextvars allowing different threads or async tasks to have independent configurations. For more information, see Context Local State.