TestCase¶
- class lsst.utils.tests.TestCase(methodName='runTest')¶
Bases:
TestCase
Subclass of unittest.TestCase that adds some custom assertions for convenience.
Methods Summary
assertAmplifiersEqual
(amp1, amp2)assertAnglesAlmostEqual
(ang0, ang1[, ...])Assert that two
Angle
s are almost equal, ignoring wrap differences by default.assertBoxesAlmostEqual
(box0, box1[, ...])assertCamerasEqual
(camera1, camera2, **kwds)Compare two Camers.
assertDetectorCollectionsEqual
(collection1, ...)Compare two DetectorCollections.
assertDetectorsEqual
(detector1, detector2, *)Compare two Detectors.
assertFloatsAlmostEqual
(lhs, rhs[, rtol, ...])Highly-configurable floating point comparisons for scalars and arrays.
assertFloatsEqual
(lhs, rhs, **kwargs)Assert that lhs == rhs (both numeric types, whether scalar or array).
assertFloatsNotEqual
(lhs, rhs, **kwds)Fail a test if the given floating point values are equal to within the given tolerances.
assertImagesAlmostEqual
(image0, image1[, ...])!Assert that two images are almost equal, including non-finite values
assertImagesEqual
(**kwds)!Assert that two images are exactly equal, including non-finite values.
assertMaskedImagesAlmostEqual
(maskedImage0, ...)!Assert that two masked images are nearly equal, including non-finite values
assertMaskedImagesEqual
(**kwds)!Assert that two masked images are exactly equal, including non-finite values.
assertMasksEqual
(mask0, mask1[, skipMask, msg])!Assert that two masks are equal
assertPairListsAlmostEqual
(list0, list1[, ...])Assert that two lists of Cartesian points are almost equal
assertPairsAlmostEqual
(pair0, pair1[, ...])Assert that two Cartesian points are almost equal.
assertSchemasEqual
(schema1, schema2[, flags])Assert that two Schemas are equal.
assertSpherePointListsAlmostEqual
(splist0, ...)Assert that two lists of
SpherePoint
s are almost equalassertSpherePointsAlmostEqual
(sp0, sp1[, ...])Assert that two
SpherePoint
s are almost equalassertTransformMapsEqual
(map1, map2, **kwds)Compare two TransformMaps.
assertWcsAlmostEqualOverBBox
(wcs0, wcs1, bbox)Assert that two
WCS
are almost equal over a grid of pixel positionscompare2DFunctions
(func1, func2[, minVal, ...])Compare two Point2D(list(Point2D)) functions by evaluating them over a range of values.
Generate a representative sample of
Endpoints
.Methods Documentation
- assertAmplifiersEqual(amp1, amp2)¶
- assertAnglesAlmostEqual(ang0, ang1, maxDiff=Angle(2.7777777777777781e-07, degrees), ignoreWrap=True, msg='Angles differ')¶
Assert that two
Angle
s are almost equal, ignoring wrap differences by default.If both arguments are NaN the assert will pass. If one of the arguments is NaN but the other is not the assert will fail.
- Parameters:
- testCase
unittest.TestCase
test case the test is part of; an object supporting one method: fail(self, msgStr)
- ang0
lsst.geom.Angle
angle 0
- ang1
lsst.geom.Angle
angle 1
- maxDiff
lsst.geom.Angle
maximum difference between the two angles
- ignoreWrap
bool
ignore wrap when comparing the angles?
if True then wrap is ignored, e.g. 0 and 360 degrees are considered equal
if False then wrap matters, e.g. 0 and 360 degrees are considered different
- msg
str
exception message prefix; details of the error are appended after “: “
- testCase
- Raises:
- AssertionError
Raised if the difference is greater than
maxDiff
- assertBoxesAlmostEqual(box0, box1, maxDiff=1e-07, msg='Boxes differ')¶
Assert that two boxes (
Box2D
orBox2I
) are almost equal- Parameters:
- testCase
unittest.TestCase
test case the test is part of; an object supporting one method: fail(self, msgStr)
- box0
lsst.geom.Box2D
orlsst.geom.Box2I
box 0
- box1
lsst.geom.Box2D
orlsst.geom.Box2I
box 1
- maxDiff
float
maximum radial separation between the min points and max points
- msg
str
exception message prefix; details of the error are appended after “: “
- testCase
- Raises:
- AssertionError
Raised if the radial difference of the min points or max points is greater than maxDiff
Notes
Warning
Does not compare types, just compares values.
- assertCamerasEqual(camera1, camera2, **kwds)¶
Compare two Camers.
- assertDetectorCollectionsEqual(collection1, collection2, **kwds)¶
Compare two DetectorCollections.
- assertDetectorsEqual(detector1, detector2, *, compareTransforms=True, **kwds)¶
Compare two Detectors.
- assertFloatsAlmostEqual(lhs: float | ndarray, rhs: float | ndarray, rtol: float | None = 2.220446049250313e-16, atol: float | None = 2.220446049250313e-16, relTo: float | None = None, printFailures: bool = True, plotOnFailure: bool = False, plotFileName: str | None = None, invert: bool = False, msg: str | None = None, ignoreNaNs: bool = False) None ¶
Highly-configurable floating point comparisons for scalars and arrays.
The test assertion will fail if all elements
lhs
andrhs
are not equal to within the tolerances specified byrtol
andatol
. More precisely, the comparison is:abs(lhs - rhs) <= relTo*rtol OR abs(lhs - rhs) <= atol
If
rtol
oratol
isNone
, that term in the comparison is not performed at all.When not specified,
relTo
is the elementwise maximum of the absolute values oflhs
andrhs
. If set manually, it should usually be set to eitherlhs
orrhs
, or a scalar value typical of what is expected.- Parameters:
- testCase
unittest.TestCase
Instance the test is part of.
- lhsscalar or array-like
LHS value(s) to compare; may be a scalar or array-like of any dimension.
- rhsscalar or array-like
RHS value(s) to compare; may be a scalar or array-like of any dimension.
- rtol
float
, optional Relative tolerance for comparison; defaults to double-precision epsilon.
- atol
float
, optional Absolute tolerance for comparison; defaults to double-precision epsilon.
- relTo
float
, optional Value to which comparison with rtol is relative.
- printFailures
bool
, optional Upon failure, print all inequal elements as part of the message.
- plotOnFailure
bool
, optional Upon failure, plot the originals and their residual with matplotlib. Only 2-d arrays are supported.
- plotFileName
str
, optional Filename to save the plot to. If
None
, the plot will be displayed in a window.- invert
bool
, optional If
True
, invert the comparison and fail only if any elements are equal. Used to implementassertFloatsNotEqual
, which should generally be used instead for clarity. will returnTrue
).- msg
str
, optional String to append to the error message when assert fails.
- ignoreNaNs
bool
, optional If
True
(False
is default) mask out any NaNs from operand arrays before performing comparisons if they are in the same locations; NaNs in different locations are trigger test assertion failures, even wheninvert=True
. Scalar NaNs are treated like arrays containing only NaNs of the same shape as the other operand, and no comparisons are performed if both sides are scalar NaNs.
- testCase
- Raises:
- AssertionError
The values are not almost equal.
- assertFloatsEqual(lhs: float | ndarray, rhs: float | ndarray, **kwargs: Any) None ¶
Assert that lhs == rhs (both numeric types, whether scalar or array).
See
assertFloatsAlmostEqual
(called withrtol=atol=0
) for more information.- Parameters:
- testCase
unittest.TestCase
Instance the test is part of.
- lhsscalar or array-like
LHS value(s) to compare; may be a scalar or array-like of any dimension.
- rhsscalar or array-like
RHS value(s) to compare; may be a scalar or array-like of any dimension.
- **kwargs
Any
Keyword parameters forwarded to
assertFloatsAlmostEqual
.
- testCase
- Raises:
- AssertionError
The values are not equal.
- assertFloatsNotEqual(lhs: float | ndarray, rhs: float | ndarray, **kwds: Any) None ¶
Fail a test if the given floating point values are equal to within the given tolerances.
See
assertFloatsAlmostEqual
(called withrtol=atol=0
) for more information.- Parameters:
- testCase
unittest.TestCase
Instance the test is part of.
- lhsscalar or array-like
LHS value(s) to compare; may be a scalar or array-like of any dimension.
- rhsscalar or array-like
RHS value(s) to compare; may be a scalar or array-like of any dimension.
- **kwds
Any
Keyword parameters forwarded to
assertFloatsAlmostEqual
.
- testCase
- Raises:
- AssertionError
The values are almost equal.
- assertImagesAlmostEqual(image0, image1, skipMask=None, rtol=1e-05, atol=1e-08, msg='Images differ')¶
!Assert that two images are almost equal, including non-finite values
- @param[in] testCase unittest.TestCase instance the test is part of;
an object supporting one method: fail(self, msgStr)
- @param[in] image0 image 0, an lsst.afw.image.Image, lsst.afw.image.Mask,
or transposed numpy array (see warning)
- @param[in] image1 image 1, an lsst.afw.image.Image, lsst.afw.image.Mask,
or transposed numpy array (see warning)
- @param[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
@param[in] rtol maximum allowed relative tolerance; more info below @param[in] atol maximum allowed absolute tolerance; more info below @param[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.
@warning the comparison equation is not symmetric, so in rare cases the assertion may give different results depending on which image comes first.
@warning the axes of numpy arrays are transposed with respect to Image and Mask data. Thus for example if image0 and image1 are both lsst.afw.image.ImageD with dimensions (2, 3) and skipMask is a numpy array, then skipMask must have shape (3, 2).
@throw self.failureException (usually AssertionError) if any of the following are true for un-skipped pixels: - non-finite values differ in any way (e.g. one is “nan” and another is not) - finite values differ by too much, as defined by atol and rtol
@throw TypeError if the dimensions of image0, image1 and skipMask do not match, or any are not of a numeric data type.
- assertImagesEqual(**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.
- assertMaskedImagesAlmostEqual(maskedImage0, maskedImage1, doImage=True, doMask=True, doVariance=True, skipMask=None, rtol=1e-05, atol=1e-08, msg='Masked images differ')¶
!Assert that two masked images are nearly equal, including non-finite values
- @param[in] testCase unittest.TestCase instance the test is part of;
an object supporting one method: fail(self, msgStr)
- @param[in] maskedImage0 masked image 0 (an lsst.afw.image.MaskedImage or
collection of three transposed numpy arrays: image, mask, variance)
- @param[in] maskedImage1 masked image 1 (an lsst.afw.image.MaskedImage or
collection of three transposed numpy arrays: image, mask, variance)
@param[in] doImage compare image planes if True @param[in] doMask compare mask planes if True @param[in] doVariance compare variance planes if True @param[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
@param[in] rtol maximum allowed relative tolerance; more info below @param[in] atol maximum allowed absolute tolerance; more info below @param[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.
@warning the comparison equation is not symmetric, so in rare cases the assertion may give different results depending on which masked image comes first.
@warning the axes of numpy arrays are transposed with respect to MaskedImage data. Thus for example if maskedImage0 and maskedImage1 are both lsst.afw.image.MaskedImageD with dimensions (2, 3) and skipMask is a numpy array, then skipMask must have shape (3, 2).
@throw self.failureException (usually AssertionError) if any of the following are true for un-skipped pixels: - non-finite image or variance values differ in any way (e.g. one is “nan” and another is not) - finite values differ by too much, as defined by atol and rtol - mask pixels differ at all
@throw 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.
- assertMaskedImagesEqual(**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.
- assertMasksEqual(mask0, mask1, skipMask=None, msg='Masks differ')¶
!Assert that two masks are equal
- @param[in] testCase unittest.TestCase instance the test is part of;
an object supporting one method: fail(self, msgStr)
- @param[in] mask0 mask 0, an lsst.afw.image.Mask, lsst.afw.image.Image,
or transposed numpy array (see warning)
- @param[in] mask1 mask 1, an lsst.afw.image.Mask, lsst.afw.image.Image,
or transposed numpy array (see warning)
- @param[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
@param[in] msg exception message prefix; details of the error are appended after “: “
@warning the axes of numpy arrays are transposed with respect to Mask and Image. Thus for example if mask0 and mask1 are both lsst.afw.image.Mask with dimensions (2, 3) and skipMask is a numpy array, then skipMask must have shape (3, 2).
@throw self.failureException (usually AssertionError) if any any un-skipped pixels differ
@throw TypeError if the dimensions of mask0, mask1 and skipMask do not match, or any are not of a numeric data type.
- assertPairListsAlmostEqual(list0, list1, maxDiff=1e-07, msg=None)¶
Assert that two lists of Cartesian points are almost equal
Each point can be any indexable pair of two floats, including Point2D or Extent2D, a list or a tuple.
- Parameters:
- testCase
unittest.TestCase
test case the test is part of; an object supporting one method: fail(self, msgStr)
- list0
list
of pairs offloat
list of pairs 0
- list1
list
of pairs offloat
list of pairs 1
- maxDiff
float
maximum radial separation between the two points
- msg
str
additional information for the error message; appended after “: “
- testCase
- Raises:
- AssertionError
Raised if the radial difference is greater than
maxDiff
Notes
Warning
Does not compare types, just values.
- assertPairsAlmostEqual(pair0, pair1, maxDiff=1e-07, msg='Pairs differ')¶
Assert that two Cartesian points are almost equal.
Each point can be any indexable pair of two floats, including Point2D or Extent2D, a list or a tuple.
- Parameters:
- testCase
unittest.TestCase
test case the test is part of; an object supporting one method: fail(self, msgStr)
- pair0pair of
float
pair 0
- pair1pair of
floats
pair 1
- maxDiff
float
maximum radial separation between the two points
- msg
str
exception message prefix; details of the error are appended after “: “
- testCase
- Raises:
- AssertionError
Raised if the radial difference is greater than
maxDiff
Notes
Warning
Does not compare types, just compares values.
- assertSchemasEqual(schema1, schema2, flags=31)¶
Assert that two Schemas are equal.
Generates a message from the difference between the schemas; see
diffSchemas()
for more information.- Parameters:
- testCase
Comparison test case that should fail is schemas differ.
- schema1
lsst.afw.table.Schema
First input schema.
- schema2
lsst.afw.table.Schema
Second input schema.
- flags
int
A bitwise OR of
lsst.afw.table.Schema.ComparisonFlags
indicating which features of schema items to compare.
- assertSpherePointListsAlmostEqual(splist0, splist1, maxSep=Angle(2.7777777777777781e-07, degrees), msg=None)¶
Assert that two lists of
SpherePoint
s are almost equal- Parameters:
- testCase
unittest.TestCase
test case the test is part of; an object supporting one method: fail(self, msgStr)
- splist0
list
oflsst.geom.SpherePoint
list of SpherePoints 0
- splist1
list
oflsst.geom.SpherePoint
list of SpherePoints 1
- maxSep
lsst.geom.Angle
maximum separation
- msg
str
exception message prefix; details of the error are appended after “: “
- testCase
- Raises:
- AssertionError
The SpherePoint lists are not equal.
- assertSpherePointsAlmostEqual(sp0, sp1, maxSep=Angle(2.7777777777777781e-07, degrees), msg='')¶
Assert that two
SpherePoint
s are almost equal- Parameters:
- testCase
unittest.TestCase
test case the test is part of; an object supporting one method: fail(self, msgStr)
- sp0
lsst.geom.SpherePoint
SpherePoint 0
- sp1
lsst.geom.SpherePoint
SpherePoint 1
- maxSep
lsst.geom.Angle
maximum separation
- msg
str
extra information to be printed with any error message
- testCase
- Raises:
- AssertionError
The SpherePoints are not equal.
- assertTransformMapsEqual(map1, map2, **kwds)¶
Compare two TransformMaps.
- assertWcsAlmostEqualOverBBox(wcs0, wcs1, bbox, maxDiffSky=Angle(2.7777777777777779e-06, degrees), maxDiffPix=0.01, nx=5, ny=5, msg='WCSs differ')¶
Assert that two
WCS
are almost equal over a grid of pixel positionsCompare pixelToSky and skyToPixel for two WCS over a rectangular grid of pixel positions. If the WCS are too divergent at any point, call testCase.fail; the message describes the largest error measured in pixel coordinates (if sky to pixel error was excessive) and sky coordinates (if pixel to sky error was excessive) across the entire pixel grid.
- Parameters:
- testCase
unittest.TestCase
test case the test is part of; an object supporting one method: fail(self, msgStr)
- wcs0
lsst.afw.geom.SkyWcs
WCS 0
- wcs1
lsst.afw.geom.SkyWcs
WCS 1
- bbox
lsst.geom.Box2I
orlsst.geom.Box2D
boundaries of pixel grid over which to compare the WCSs
- maxDiffSky
lsst.geom.Angle
maximum separation between sky positions computed using Wcs.pixelToSky
- maxDiffPix
float
maximum separation between pixel positions computed using Wcs.skyToPixel
- nx
int
number of points in x for the grid of pixel positions
- ny
int
number of points in y for the grid of pixel positions
- msg
str
exception message prefix; details of the error are appended after “: “
- testCase
- compare2DFunctions(func1, func2, minVal=-10, maxVal=None, nVal=5)¶
Compare two Point2D(list(Point2D)) functions by evaluating them over a range of values.
Notes
Assumes the functions can be called with
list[Point2D]
and returnlist[Point2D]
.
- makeEndpoints()¶
Generate a representative sample of
Endpoints
.- Parameters:
- testCase
unittest.TestCase
test case the test is part of; an object supporting one method: fail(self, msgStr)
- testCase
- Returns:
- endpoints
list
List of endpoints with enough diversity to exercise
Endpoint
-related code. Each invocation of this method shall return independent objects.
- endpoints