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bundles / numpy latest / numpy / seterrcall

function

numpy:seterrcall

source: /dev/numpy/build-install/usr/lib/python3.14/site-packages/numpy/_core/_ufunc_config.py :218

Signature

def   seterrcall ( func )

Summary

Set the floating-point error callback function or log object.

Extended Summary

There are two ways to capture floating-point error messages. The first is to set the error-handler to 'call', using seterr. Then, set the function to call using this function.

The second is to set the error-handler to 'log', using seterr. Floating-point errors then trigger a call to the 'write' method of the provided object.

Parameters

func : callable f(err, flag) or object with write method

Function to call upon floating-point errors ('call'-mode) or object whose 'write' method is used to log such message ('log'-mode).

The call function takes two arguments. The first is a string describing the type of error (such as "divide by zero", "overflow", "underflow", or "invalid value"), and the second is the status flag. The flag is a byte, whose four least-significant bits indicate the type of error, one of "divide", "over", "under", "invalid"

[0 0 0 0 divide over under invalid]

In other words, flags = divide + 2*over + 4*under + 8*invalid.

If an object is provided, its write method should take one argument, a string.

Returns

h : callable, log instance or None

The old error handler.

Examples

Callback upon error:
def err_handler(type, flag):
    print("Floating point error (%s), with flag %s" % (type, flag))
import numpy as np
orig_handler = np.seterrcall(err_handler)
orig_err = np.seterr(all='call')
np.array([1, 2, 3]) / 0.0
np.seterrcall(orig_handler)
np.seterr(**orig_err)
Log error message:
class Log:
    def write(self, msg):
        print("LOG: %s" % msg)
log = Log()
saved_handler = np.seterrcall(log)
save_err = np.seterr(all='log')
np.array([1, 2, 3]) / 0.0
np.seterrcall(orig_handler)
np.seterr(**orig_err)

See also

geterr
geterrcall
seterr

Aliases

  • numpy.seterrcall

Referenced by