LSST Applications 27.0.0,g0265f82a02+469cd937ee,g02d81e74bb+21ad69e7e1,g1470d8bcf6+cbe83ee85a,g2079a07aa2+e67c6346a6,g212a7c68fe+04a9158687,g2305ad1205+94392ce272,g295015adf3+81dd352a9d,g2bbee38e9b+469cd937ee,g337abbeb29+469cd937ee,g3939d97d7f+72a9f7b576,g487adcacf7+71499e7cba,g50ff169b8f+5929b3527e,g52b1c1532d+a6fc98d2e7,g591dd9f2cf+df404f777f,g5a732f18d5+be83d3ecdb,g64a986408d+21ad69e7e1,g858d7b2824+21ad69e7e1,g8a8a8dda67+a6fc98d2e7,g99cad8db69+f62e5b0af5,g9ddcbc5298+d4bad12328,ga1e77700b3+9c366c4306,ga8c6da7877+71e4819109,gb0e22166c9+25ba2f69a1,gb6a65358fc+469cd937ee,gbb8dafda3b+69d3c0e320,gc07e1c2157+a98bf949bb,gc120e1dc64+615ec43309,gc28159a63d+469cd937ee,gcf0d15dbbd+72a9f7b576,gdaeeff99f8+a38ce5ea23,ge6526c86ff+3a7c1ac5f1,ge79ae78c31+469cd937ee,gee10cc3b42+a6fc98d2e7,gf1cff7945b+21ad69e7e1,gfbcc870c63+9a11dc8c8f
LSST Data Management Base Package
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Functions | |
makeGaussianNoiseMaskedImage (dimensions, sigma, variance=1.0) | |
makeRampImage (bbox, start=0, stop=None, imageClass=ImageF) | |
Make an image whose values are a linear ramp. | |
assertImagesAlmostEqual (testCase, image0, image1, skipMask=None, rtol=1.0e-05, atol=1e-08, msg="Images differ") | |
Assert that two images are almost equal, including non-finite values. | |
assertImagesEqual (*args, **kwds) | |
Assert that two images are exactly equal, including non-finite values. | |
assertMasksEqual (testCase, mask0, mask1, skipMask=None, msg="Masks differ") | |
Assert that two masks are equal. | |
assertMaskedImagesAlmostEqual (testCase, maskedImage0, maskedImage1, doImage=True, doMask=True, doVariance=True, skipMask=None, rtol=1.0e-05, atol=1e-08, msg="Masked images differ") | |
Assert that two masked images are nearly equal, including non-finite values. | |
assertMaskedImagesEqual (*args, **kwds) | |
Assert that two masked images are exactly equal, including non-finite values. | |
imagesDiffer (image0, image1, skipMask=None, rtol=1.0e-05, atol=1e-08) | |
Compare the pixels of two image or mask arrays; return True if close, False otherwise. | |
lsst.afw.image.testUtils.assertImagesAlmostEqual | ( | testCase, | |
image0, | |||
image1, | |||
skipMask = None, | |||
rtol = 1.0e-05, | |||
atol = 1e-08, | |||
msg = "Images differ" ) |
Assert that two images are almost equal, including non-finite values.
[in] | testCase | unittest.TestCase instance the test is part of; an object supporting one method: fail(self, msgStr) |
[in] | image0 | image 0, an lsst.afw.image.Image, lsst.afw.image.Mask, or transposed numpy array (see warning) |
[in] | image1 | image 1, an lsst.afw.image.Image, lsst.afw.image.Mask, or transposed numpy array (see warning) |
[in] | skipMask | mask of pixels to skip, or None to compare all pixels; an lsst.afw.image.Mask, lsst.afw.image.Image, or transposed numpy array (see warning); all non-zero pixels are skipped |
[in] | rtol | maximum allowed relative tolerance; more info below |
[in] | atol | maximum allowed absolute tolerance; more info below |
[in] | msg | exception message prefix; details of the error are appended after ": " |
The images are nearly equal if all pixels obey: |val1 - val0| <= rtol*|val1| + atol or, for float types, if nan/inf/-inf pixels match.
self.failureException | (usually AssertionError) if any of the following are true for un-skipped pixels:
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TypeError | if the dimensions of image0, image1 and skipMask do not match, or any are not of a numeric data type. |
Definition at line 74 of file testUtils.py.
lsst.afw.image.testUtils.assertImagesEqual | ( | * | args, |
** | kwds ) |
Assert that two images are exactly equal, including non-finite values.
All arguments are forwarded to assertAnglesAlmostEqual aside from atol and rtol, which are set to zero.
Definition at line 117 of file testUtils.py.
lsst.afw.image.testUtils.assertMaskedImagesAlmostEqual | ( | testCase, | |
maskedImage0, | |||
maskedImage1, | |||
doImage = True, | |||
doMask = True, | |||
doVariance = True, | |||
skipMask = None, | |||
rtol = 1.0e-05, | |||
atol = 1e-08, | |||
msg = "Masked images differ" ) |
Assert that two masked images are nearly equal, including non-finite values.
[in] | testCase | unittest.TestCase instance the test is part of; an object supporting one method: fail(self, msgStr) |
[in] | maskedImage0 | masked image 0 (an lsst.afw.image.MaskedImage or collection of three transposed numpy arrays: image, mask, variance) |
[in] | maskedImage1 | masked image 1 (an lsst.afw.image.MaskedImage or collection of three transposed numpy arrays: image, mask, variance) |
[in] | doImage | compare image planes if True |
[in] | doMask | compare mask planes if True |
[in] | doVariance | compare variance planes if True |
[in] | skipMask | mask of pixels to skip, or None to compare all pixels; an lsst.afw.image.Mask, lsst.afw.image.Image, or transposed numpy array; all non-zero pixels are skipped |
[in] | rtol | maximum allowed relative tolerance; more info below |
[in] | atol | maximum allowed absolute tolerance; more info below |
[in] | msg | exception message prefix; details of the error are appended after ": " |
The mask planes must match exactly. The image and variance planes are nearly equal if all pixels obey: |val1 - val0| <= rtol*|val1| + atol or, for float types, if nan/inf/-inf pixels match.
self.failureException | (usually AssertionError) if any of the following are true for un-skipped pixels:
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TypeError | if the dimensions of maskedImage0, maskedImage1 and skipMask do not match, either image or variance plane is not of a numeric data type, either mask plane is not of an integer type (unsigned or signed), or skipMask is not of a numeric data type. |
Definition at line 156 of file testUtils.py.
lsst.afw.image.testUtils.assertMaskedImagesEqual | ( | * | args, |
** | kwds ) |
Assert that two masked images are exactly equal, including non-finite values.
All arguments are forwarded to assertMaskedImagesAlmostEqual aside from atol and rtol, which are set to zero.
Definition at line 254 of file testUtils.py.
lsst.afw.image.testUtils.assertMasksEqual | ( | testCase, | |
mask0, | |||
mask1, | |||
skipMask = None, | |||
msg = "Masks differ" ) |
Assert that two masks are equal.
[in] | testCase | unittest.TestCase instance the test is part of; an object supporting one method: fail(self, msgStr) |
[in] | mask0 | mask 0, an lsst.afw.image.Mask, lsst.afw.image.Image, or transposed numpy array (see warning) |
[in] | mask1 | mask 1, an lsst.afw.image.Mask, lsst.afw.image.Image, or transposed numpy array (see warning) |
[in] | skipMask | mask of pixels to skip, or None to compare all pixels; an lsst.afw.image.Mask, lsst.afw.image.Image, or transposed numpy array (see warning); all non-zero pixels are skipped |
[in] | msg | exception message prefix; details of the error are appended after ": " |
self.failureException | (usually AssertionError) if any any un-skipped pixels differ |
TypeError | if the dimensions of mask0, mask1 and skipMask do not match, or any are not of a numeric data type. |
Definition at line 127 of file testUtils.py.
lsst.afw.image.testUtils.imagesDiffer | ( | image0, | |
image1, | |||
skipMask = None, | |||
rtol = 1.0e-05, | |||
atol = 1e-08 ) |
Compare the pixels of two image or mask arrays; return True if close, False otherwise.
[in] | image0 | image 0, an lsst.afw.image.Image, lsst.afw.image.Mask, or transposed numpy array (see warning) |
[in] | image1 | image 1, an lsst.afw.image.Image, lsst.afw.image.Mask, or transposed numpy array (see warning) |
[in] | skipMask | mask of pixels to skip, or None to compare all pixels; an lsst.afw.image.Mask, lsst.afw.image.Image, or transposed numpy array (see warning); all non-zero pixels are skipped |
[in] | rtol | maximum allowed relative tolerance; more info below |
[in] | atol | maximum allowed absolute tolerance; more info below |
The images are nearly equal if all pixels obey: |val1 - val0| <= rtol*|val1| + atol or, for float types, if nan/inf/-inf pixels match.
TypeError | if the dimensions of image0, image1 and skipMask do not match, or any are not of a numeric data type. |
Definition at line 263 of file testUtils.py.
lsst.afw.image.testUtils.makeGaussianNoiseMaskedImage | ( | dimensions, | |
sigma, | |||
variance = 1.0 ) |
Make a gaussian noise MaskedImageF Inputs: - dimensions: dimensions of output array (cols, rows) - sigma; sigma of image plane's noise distribution - variance: constant value for variance plane
Definition at line 34 of file testUtils.py.
lsst.afw.image.testUtils.makeRampImage | ( | bbox, | |
start = 0, | |||
stop = None, | |||
imageClass = ImageF ) |
Make an image whose values are a linear ramp.
[in] | bbox | bounding box of image (an lsst.geom.Box2I) |
[in] | start | starting ramp value, inclusive |
[in] | stop | ending ramp value, inclusive; if None, increase by integer values |
[in] | imageClass | type of image (e.g. lsst.afw.image.ImageF) |
Definition at line 51 of file testUtils.py.