Coverage for python/lsst/afw/image/basicUtils.py: 35%

13 statements  

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1# This file is part of afw. 

2# 

3# Developed for the LSST Data Management System. 

4# This product includes software developed by the LSST Project 

5# (https://www.lsst.org). 

6# See the COPYRIGHT file at the top-level directory of this distribution 

7# for details of code ownership. 

8# 

9# This program is free software: you can redistribute it and/or modify 

10# it under the terms of the GNU General Public License as published by 

11# the Free Software Foundation, either version 3 of the License, or 

12# (at your option) any later version. 

13# 

14# This program is distributed in the hope that it will be useful, 

15# but WITHOUT ANY WARRANTY; without even the implied warranty of 

16# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 

17# GNU General Public License for more details. 

18# 

19# You should have received a copy of the GNU General Public License 

20# along with this program. If not, see <https://www.gnu.org/licenses/>. 

21 

22__all__ = ["makeImageFromArray", "makeMaskFromArray", "makeMaskedImageFromArrays"] 

23 

24from .image import Image, Mask 

25from .maskedImage import MaskedImage 

26 

27 

28def makeImageFromArray(array): 

29 """Construct an Image from a NumPy array, inferring the Image type from 

30 the NumPy type. Return None if input is None. 

31 """ 

32 if array is None: 

33 return None 

34 return Image(array, dtype=array.dtype.type) 

35 

36 

37def makeMaskFromArray(array): 

38 """Construct an Mask from a NumPy array, inferring the Mask type from the 

39 NumPy type. Return None if input is None. 

40 """ 

41 if array is None: 

42 return None 

43 return Mask(array, dtype=array.dtype.type) 

44 

45 

46def makeMaskedImageFromArrays(image, mask=None, variance=None): 

47 """Construct a MaskedImage from three NumPy arrays, inferring the 

48 MaskedImage types from the NumPy types. 

49 """ 

50 return MaskedImage(makeImageFromArray(image), makeMaskFromArray(mask), 

51 makeImageFromArray(variance), dtype=image.dtype.type)