Update lephare.py (#25)

* Update lephare.py

This was a simple bug possibly caused by a git merge not being properly managed.

* test running but olnly covering inform initialisation

What is minimum imports and data required for test golden spike uncitonality

* Including one assert in the inform_stage unit test.

---------

Co-authored-by: Raphael Shirley <[email protected]>
Co-authored-by: Drew Oldag <[email protected]>

src/rail/estimation/algos/lephare.py

@@ -189,28 +189,6 @@ def __init__(self, args, comm=None):
         self.lephare_config = lp.read_config(self.config["lephare_config_file"])
         self.photz = lp.PhotoZ(self.lephare_config)
 
-    def _estimate_pdf(self, onesource):
-        """Return the pdf of a single source.
-
-        Do we want to resample on RAIL z grid?
-        """
-        # Check this is the best way to access pdf
-        pdf = onesource.pdfmap[11]  # 11 = Bayesian galaxy redshift
-        # return the PDF as an array alongside lephare native zgrid
-        return np.array(pdf.vPDF), np.array(pdf.xaxis)
-
-        # Default local parameters
-        self.config_file = "{}/{}".format(
-            os.path.dirname(os.path.abspath(__file__)), "lsst.para"
-        )
-        self.lephare_config = lp.read_config(self.config_file)
-        self.photz = lp.PhotoZ(self.lephare_config)
-        print("init")
-
-    # def open_model(self, **kwargs):
-    #     CatEstimator.open_model(self, **kwargs)
-    #     self.modeldict = self.model
-
     def _estimate_pdf(self, onesource):
         """Return the pdf of a single source.