lines-too-long

pycbc/events/ranking.py

@@ -5,7 +5,7 @@
 
 
 def effsnr(snr, reduced_x2, fac=250.,
-        **kwargs):  # pylint:disable=unused-argument
+           **kwargs):  # pylint:disable=unused-argument
     """Calculate the effective SNR statistic. See (S5y1 paper) for definition.
     """
     snr = numpy.array(snr, ndmin=1, dtype=numpy.float64)
@@ -20,7 +20,7 @@ def effsnr(snr, reduced_x2, fac=250.,
 
 
 def newsnr(snr, reduced_x2, q=6., n=2.,
-        **kwargs):  # pylint:disable=unused-argument
+           **kwargs):  # pylint:disable=unused-argument
     """Calculate the re-weighted SNR statistic ('newSNR') from given SNR and
     reduced chi-squared values. See http://arxiv.org/abs/1208.3491 for
     definition. Previous implementation in glue/ligolw/lsctables.py
@@ -40,7 +40,7 @@ def newsnr(snr, reduced_x2, q=6., n=2.,
 
 
 def newsnr_sgveto(snr, brchisq, sgchisq,
-        **kwargs):  # pylint:disable=unused-argument
+                  **kwargs):  # pylint:disable=unused-argument
     """ Combined SNR derived from NewSNR and Sine-Gaussian Chisq"""
     nsnr = numpy.array(
         newsnr(
@@ -61,7 +61,8 @@ def newsnr_sgveto(snr, brchisq, sgchisq,
 
 
 def newsnr_sgveto_psdvar(snr, brchisq, sgchisq, psd_var_val,
-        min_expected_psdvar=0.65, **kwargs):  # pylint:disable=unused-argument
+                         min_expected_psdvar=0.65,
+                         **kwargs):  # pylint:disable=unused-argument
     """ Combined SNR derived from SNR, reduced Allen chisq, sine-Gaussian chisq and
     PSD variation statistic"""
     # If PSD var is lower than the 'minimum usually expected value' stop this
@@ -86,9 +87,10 @@ def newsnr_sgveto_psdvar(snr, brchisq, sgchisq, psd_var_val,
 
 
 def newsnr_sgveto_psdvar_threshold(snr, brchisq, sgchisq, psd_var_val,
-        min_expected_psdvar=0.65, brchisq_threshold=10.0,
-        psd_var_val_threshold=10.0,
-        **kwargs):  # pylint:disable=unused-argument
+                                   min_expected_psdvar=0.65,
+                                   brchisq_threshold=10.0,
+                                   psd_var_val_threshold=10.0,
+                                   **kwargs):  # pylint:disable=unused-argument
     """ newsnr_sgveto_psdvar with thresholds applied.
 
     This is the newsnr_sgveto_psdvar statistic with additional options
@@ -114,8 +116,8 @@ def newsnr_sgveto_psdvar_threshold(snr, brchisq, sgchisq, psd_var_val,
 
 
 def newsnr_sgveto_psdvar_scaled(snr, brchisq, sgchisq, psd_var_val,
-        scaling=0.33, min_expected_psdvar=0.65,
-        **kwargs):  # pylint:disable=unused-argument
+                                scaling=0.33, min_expected_psdvar=0.65,
+                                **kwargs):  # pylint:disable=unused-argument
     """ Combined SNR derived from NewSNR, Sine-Gaussian Chisq and scaled PSD
     variation statistic. """
     nsnr = numpy.array(
@@ -139,7 +141,8 @@ def newsnr_sgveto_psdvar_scaled(snr, brchisq, sgchisq, psd_var_val,
 
 
 def newsnr_sgveto_psdvar_scaled_threshold(snr, bchisq, sgchisq, psd_var_val,
-        threshold=2.0, **kwargs):  # pylint:disable=unused-argument
+                                          threshold=2.0,
+                                          **kwargs):  # pylint:disable=unused-argument
     """ Combined SNR derived from NewSNR and Sine-Gaussian Chisq, and
     scaled psd variation.
     """
@@ -346,8 +349,8 @@ def get_newsnr_sgveto_psdvar_scaled_threshold(trigs,
     'newsnr_sgveto_psdvar': get_newsnr_sgveto_psdvar,
     'newsnr_sgveto_psdvar_threshold': get_newsnr_sgveto_psdvar_threshold,
     'newsnr_sgveto_psdvar_scaled': get_newsnr_sgveto_psdvar_scaled,
-    'newsnr_sgveto_psdvar_scaled_threshold': \
-        get_newsnr_sgveto_psdvar_scaled_threshold,
+    'newsnr_sgveto_psdvar_scaled_threshold':
+    get_newsnr_sgveto_psdvar_scaled_threshold,
 }
 
 # Lists of datasets required in the trigs object for each function