Coverage for mlprodict/onnxrt/ops_cpu/op_optional.py: 89%

1# -*- encoding: utf-8 -*- 

2# pylint: disable=E0203,E1101,C0111 

3""" 

4@file 

5@brief Runtime operator. 

6""" 

7import numpy 

8from ._op import OpRun 

9 

10 

11class OptionalGetElement(OpRun): 

12 

13 def __init__(self, onnx_node, desc=None, **options): 

14 OpRun.__init__(self, onnx_node, desc=desc, **options) 

15 

16 def _run(self, x, attributes=None, verbose=0, fLOG=None): # pylint: disable=W0221 

17 if not isinstance(x, list): 

18 raise TypeError( # pragma: no cover 

19 f"Unexpected type {type(x)!r} for x.") 

20 if len(x) > 0: 

21 return (x[0], ) 

22 return ([], ) 

23 

24 

25class OptionalHasElement(OpRun): 

26 

27 def __init__(self, onnx_node, desc=None, **options): 

28 OpRun.__init__(self, onnx_node, desc=desc, **options) 

29 

30 def _run(self, x, attributes=None, verbose=0, fLOG=None): # pylint: disable=W0221 

31 if not isinstance(x, list): 

32 raise TypeError( # pragma: no cover 

33 f"Unexpected type {type(x)!r} for x.") 

34 if len(x) > 0: 

35 return (numpy.array([e is not None for e in x]), ) 

36 return ([], )