diff --git a/.github/workflows/testing-and-coverage.yml b/.github/workflows/testing-and-coverage.yml
index 3c3784a..6720f67 100644
--- a/.github/workflows/testing-and-coverage.yml
+++ b/.github/workflows/testing-and-coverage.yml
@@ -37,3 +37,4 @@ jobs:
       uses: codecov/codecov-action@v4
       with:
         token: ${{ secrets.CODECOV_TOKEN }}
+        
\ No newline at end of file
diff --git a/src/rail/estimation/algos/bpz_lite.py b/src/rail/estimation/algos/bpz_lite.py
index 83ecea5..82ed121 100644
--- a/src/rail/estimation/algos/bpz_lite.py
+++ b/src/rail/estimation/algos/bpz_lite.py
@@ -34,7 +34,6 @@
 from rail.core.common_params import SHARED_PARAMS
 
 
-
 def nzfunc(z, z0, alpha, km, m, m0):  # pragma: no cover
     zm = z0 + (km * (m - m0))
     return np.power(z, alpha) * np.exp(-1. * np.power((z / zm), alpha))
@@ -71,7 +70,7 @@ class BPZliteInformer(CatInformer):
                           bands=SHARED_PARAMS,
                           err_bands=SHARED_PARAMS,
                           ref_band=SHARED_PARAMS,
-                          redshift_col=SHARED_PARAMS,   
+                          redshift_col=SHARED_PARAMS,
                           data_path=Param(str, "None",
                                           msg="data_path (str): file path to the "
                                           "SED, FILTER, and AB directories.  If left to "
@@ -259,7 +258,7 @@ class BPZliteEstimator(CatEstimator):
                           bands=SHARED_PARAMS,
                           ref_band=SHARED_PARAMS,
                           err_bands=SHARED_PARAMS,
-                          redshift_col=SHARED_PARAMS,   
+                          redshift_col=SHARED_PARAMS,
                           dz=Param(float, 0.01, msg="delta z in grid"),
                           unobserved_val=Param(float, -99.0, msg="value to be replaced with zero flux and given large errors for non-observed filters"),
                           data_path=Param(str, "None",
@@ -391,7 +390,7 @@ def _preprocess_magnitudes(self, data):
         errs = self.config.err_bands
 
         fluxdict = {}
-        
+
         # Load the magnitudes
         zp_frac = e_mag2frac(np.array(self.config.zp_errors))
 
@@ -424,7 +423,6 @@ def _preprocess_magnitudes(self, data):
                 data[bandname][obsmask] = -99.0
                 data[errname][obsmask] = 20.0
 
-
         # Only one set of mag errors
         mag_errs = np.array([data[er] for er in errs]).T
 
@@ -482,7 +480,7 @@ def _preprocess_magnitudes(self, data):
         fluxdict['flux_err'] = flux_err
         m_0_col = self.config.bands.index(self.config.ref_band)
         fluxdict['mag0'] = mags[:, m_0_col]
-        
+
         return fluxdict
 
     def _estimate_pdf(self, flux_templates, kernel, flux, flux_err, mag_0, z):