Merge pull request #205 from lsst/tickets/DM-38499

DM-38499: Fix whitespace problems found by flake8 v6

python/lsst/cp/pipe/makeBrighterFatterKernel.py

@@ -453,7 +453,7 @@ def _tileArray(in_array):
         output : `np.array`, (2*N + 1, 2*N + 1)
             The full, tiled array
         """
-        assert(in_array.shape[0] == in_array.shape[1])
+        assert in_array.shape[0] == in_array.shape[1]
         length = in_array.shape[0] - 1
         output = np.zeros((2*length + 1, 2*length + 1))
 

python/lsst/cp/pipe/ptc/cpSolvePtcTask.py

@@ -660,7 +660,7 @@ def initialFitFullCovariance(self, mu, cov, sqrtW):
                     # model equation (Eq. 20) in Astier+19, with c=a*b=0:
                     a[i, j] += parsFit[0]
                     noise[i, j] += parsFit[2]
-                    if(i + j == 0):
+                    if i + j == 0:
                         gain = 1./(1/gain+parsFit[1])
             weightedRes = (model - cov)*sqrtW
             chi2 = (weightedRes.flatten()**2).sum()
@@ -801,7 +801,7 @@ def evalCovModel(self, mu, aMatrix, cMatrix, noiseMatrix, gain, setBtoZero=False
     # EXPAPPROXIMATION and POLYNOMIAL fit methods
     @staticmethod
     def _initialParsForPolynomial(order):
-        assert(order >= 2)
+        assert order >= 2
         pars = np.zeros(order, dtype=float)
         pars[0] = 10
         pars[1] = 1

python/lsst/cp/pipe/utils.py

@@ -578,8 +578,8 @@ class CovFastFourierTransform:
     def __init__(self, diff, w, fftShape, maxRangeCov):
         # check that the zero padding implied by "fft_shape"
         # is large enough for the required correlation range
-        assert(fftShape[0] > diff.shape[0]+maxRangeCov+1)
-        assert(fftShape[1] > diff.shape[1]+maxRangeCov+1)
+        assert fftShape[0] > diff.shape[0]+maxRangeCov+1
+        assert fftShape[1] > diff.shape[1]+maxRangeCov+1
         # for some reason related to numpy.fft.rfftn,
         # the second dimension should be even, so
         if fftShape[1]%2 == 1: