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# scipy.special.errstate

class `scipy.special.``errstate`

  Context manager for special-function error handling.

  Using an instance of `errstate` as a context manager allows statements in that context to execute with a known error handling behavior. Upon entering the context the error handling is set with `seterr`, and upon exiting it is restored to what it was before.

  Parameters:

  kwargs : {all, singular, underflow, overflow, slow, loss, no_result, domain, arg, other}

  > Keyword arguments. The valid keywords are possible special-function errors. Each keyword should have a string value that defines the treatement for the particular type of error. Values must be ‘ignore’, ‘warn’, or ‘other’. See `seterr` for details.

  See also

  `geterr`
    get the current way of handling special-function errors
  `seterr`
    set how special-function errors are handled
  `numpy.errstate`
    similar numpy function for floating-point errors

  Examples

      >>> import scipy.special as sc
      >>> from numpy.testing import assert_raises
      >>> sc.gammaln(0)
      inf
      >>> with sc.errstate(singular='raise'):
      ...     with assert_raises(sc.SpecialFunctionError):
      ...         sc.gammaln(0)
      ...
      >>> sc.gammaln(0)
      inf

  We can also raise on every category except one.

      >>> with sc.errstate(all='raise', singular='ignore'):
      ...     sc.gammaln(0)
      ...     with assert_raises(sc.SpecialFunctionError):
      ...         sc.spence(-1)
      ...
      inf