pyuncertainnumber.pba.intervals.intervalOperators¶

Functions¶

`parse_bounds`(b)	top-level function that universally parses scalar and vector bounds
`wc_scalar_interval_feature`(*args)	wildcard scalar interval
`wc_scalar_interval`(bound)	wildcard scalar interval
`make_vec_interval`(vec)	parse an array-like structure into a vector interval
`mean`(x)
`_arraylike`(x)
`_intervallike`(x)

Module Contents¶

pyuncertainnumber.pba.intervals.intervalOperators.parse_bounds(b)¶: top-level function that universally parses scalar and vector bounds

pyuncertainnumber.pba.intervals.intervalOperators.wc_scalar_interval_feature(*args)¶: wildcard scalar interval

This function is used to parse a scalar bound into an Interval object. It can handle various input types such as lists, tuples, and strings. If the input is a string, it attempts to interpret it using the hedge_interpret function or parse it as an interval expression. If the input is a single number, it creates an Interval with that number as both bounds.

Note

This function is a beta version of wc_scalar_interval which is meant to test the API signature. If run into error, then resort back to wc_scalar_interval.

pyuncertainnumber.pba.intervals.intervalOperators.wc_scalar_interval(bound)¶

wildcard scalar interval

This function is used to parse a scalar bound into an Interval object. It can handle various input types such as lists, tuples, and strings. If the input is a string, it attempts to interpret it using the hedge_interpret function or parse it as an interval expression. If the input is a single number, it creates an Interval with that number as both bounds.

pyuncertainnumber.pba.intervals.intervalOperators.make_vec_interval(vec)¶

parse an array-like structure into a vector interval

For most part, it works same to intervalise, except that this function can also handle a list of UN objects.

Example

>>> a, b = pba.I(1, 2), pba.I(3, 4)
>>> make_vec_interval([a, b])
Interval([1, 3], [2, 4])

pyuncertainnumber.pba.intervals.intervalOperators.mean(x)¶

pyuncertainnumber.pba.intervals.intervalOperators._arraylike(x)¶

pyuncertainnumber.pba.intervals.intervalOperators._intervallike(x)¶