fixed flake8 issues

augur/tracers/two_point.py

@@ -45,6 +45,7 @@ def gaus_kernel(z, sig_z):
  z_samp = np.linspace(-10*np.max(sig_z), 10*np.max(sig_z), len(z))
  return 1./np.sqrt(2*np.pi*sig_z**2)*np.exp(-0.5*z_samp**2/sig_z**2)
 
+
 def equal_density_zbins(z, nz, nbins):
  """
  This function takes a redshift distribution and returns the redshift bins
@@ -67,6 +68,7 @@ def equal_density_zbins(z, nz, nbins):
  zbinedges = np.interp(np.linspace(0, 1, nbins+1), cuml_nz, z)
  return list(zip(zbinedges, zbinedges[1:]))
 
+
 class ZDist(object):
  """
  Base class for redshift distribution
@@ -122,6 +124,7 @@ def __init__(self, z, Nz_center, Nz_width,
  self.Nz = convolve(dndz_bin, gaus_kernel(self.z, Nz_sigmaz*(1+self.z)))
  self.zav = np.average(self.z, weights=self.Nz/np.sum(self.Nz))
 
+
 class SourceSRD2018(ZDist):
  """
  Source from 2018 SRD, benchmarked against Paul Rogozenski's notebook
@@ -154,7 +157,7 @@ def __init__(self, z, Nz_nbins, Nz_sigmaz, Nz_ibin,
  # vectorises the erf function:
 
  erf_vec = np.vectorize(math.erf, otypes=(float,))
- sz = 2**0.5*Nz_sigmaz*(1+ self.z)
+ sz = 2 ** 0.5 * Nz_sigmaz * (1 + self.z)
  binned_nz = erf_vec((z - z_low)/sz)
  binned_nz -= erf_vec((z - z_high)/sz)
  binned_nz /= 1 + erf_vec(z / sz)
@@ -164,6 +167,7 @@ def __init__(self, z, Nz_nbins, Nz_sigmaz, Nz_ibin,
  self.Nz = binned_nz[Nz_ibin]
  self.zav = np.average(self.z, weights=self.Nz/np.sum(self.Nz))
 
+
 class TopHat(ZDist):
  """
  Top Hat redshift bin