ignoring tjpcov

augur/utils/cov_utils.py

@@ -1,6 +1,6 @@
 import numpy as np
 import pyccl as ccl
-from tjpcov.covariance_gaussian_fsky import FourierGaussianFsky
+# from tjpcov.covariance_gaussian_fsky import FourierGaussianFsky
 
 
 def get_noise_power(config, S, tracer_name, return_ndens=False):
@@ -193,20 +193,20 @@ def get_SRD_cov(config, S):
     return cov_sacc_all
 
 
-class TJPCovGaus(FourierGaussianFsky):
-    """
-    Class to patch FourierGaussianFsky to work with Augur
-    """
-    def __init__(self, config):
-        super().__init__(config)
-        self.tracer_Noise = self.tracer_Noise_coupled
-
-    def get_binning_info(self):
-        ell_eff = self.get_ell_eff()
-        if 'ell_edges' in self.config['tjpcov']['binning_info'].keys():
-            ell_edges = self.config['tjpcov']['binning_info']['ell_edges']
-        ell_min = np.min(ell_edges)
-        ell_max = np.max(ell_edges)
-        nbpw = ell_max - ell_min
-        ell = np.linspace(ell_min, ell_max, nbpw+1).astype(np.int32)
-        return ell, ell_eff, ell_edges
+# class TJPCovGaus(FourierGaussianFsky):
+#     """
+#     Class to patch FourierGaussianFsky to work with Augur
+#     """
+#     def __init__(self, config):
+#         super().__init__(config)
+#         self.tracer_Noise = self.tracer_Noise_coupled
+
+#     def get_binning_info(self):
+#         ell_eff = self.get_ell_eff()
+#         if 'ell_edges' in self.config['tjpcov']['binning_info'].keys():
+#             ell_edges = self.config['tjpcov']['binning_info']['ell_edges']
+#         ell_min = np.min(ell_edges)
+#         ell_max = np.max(ell_edges)
+#         nbpw = ell_max - ell_min
+#         ell = np.linspace(ell_min, ell_max, nbpw+1).astype(np.int32)
+#         return ell, ell_eff, ell_edges