Remove all lsst.log usage

lsst · Oct 8, 2021 · f284251 · f284251
1 parent f87e530
commit f284251
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Showing 4 changed files with 10 additions and 10 deletions.
diff --git a/python/lsst/cp/pipe/ptc/astierCovPtcFit.py b/python/lsst/cp/pipe/ptc/astierCovPtcFit.py
@@ -23,9 +23,9 @@
 import copy
 from scipy.signal import fftconvolve
 from scipy.optimize import leastsq
-from .astierCovFitParameters import FitParameters
+import logging
 
-import lsst.log as lsstLog
+from .astierCovFitParameters import FitParameters
 
 __all__ = ["CovFit"]
 
@@ -186,7 +186,7 @@ def __init__(self, meanSignals, covariances, covsSqrtWeights, maxRangeFromTuple=
         # make it nan safe, replacing nan's with 0 in weights
         self.sqrtW = np.nan_to_num(covsSqrtWeights)[meanSignalsMask]
         self.r = maxRangeFromTuple
-        self.logger = lsstLog.Log.getDefaultLogger()
+        self.logger = logging.getLogger(__name__)
 
     def copy(self):
         """Make a copy of params"""

diff --git a/python/lsst/cp/pipe/ptc/photodiode.py b/python/lsst/cp/pipe/ptc/photodiode.py
@@ -41,7 +41,7 @@ def getBOTphotodiodeData(dataRef, dataPath='/project/shared/BOT/_parent/raw/phot
     dataPath : `str`, optional
         Path at which to find the corresponding photodiode data files.
 
-    logger : `lsst.log.Log`, optional
+    logger : `logging.Logger`, optional
         Logger for logging warnings.
 
 

diff --git a/python/lsst/cp/pipe/ptc/plotPtc.py b/python/lsst/cp/pipe/ptc/plotPtc.py
@@ -22,6 +22,7 @@
 
 __all__ = ['PlotPhotonTransferCurveTask']
 
+import logging
 import numpy as np
 import matplotlib.pyplot as plt
 import matplotlib as mpl
@@ -36,7 +37,6 @@
 from matplotlib.ticker import MaxNLocator
 from lsst.cp.pipe.ptc.astierCovPtcUtils import getFitDataFromCovariances
 from lsst.ip.isr import PhotonTransferCurveDataset
-import lsst.log as lsstLog
 
 
 class PlotPhotonTransferCurveTask():
@@ -108,7 +108,7 @@ def runDataRef(self):
             linearizer = isr.linearize.Linearizer.readFits(self.linearizerFileName)
         else:
             linearizer = None
-        self.run(filenameFull, datasetPtc, linearizer=linearizer, log=lsstLog)
+        self.run(filenameFull, datasetPtc, linearizer=linearizer, log=logging.getLogger(__name__))
 
         return
 
@@ -146,7 +146,7 @@ def covAstierMakeAllPlots(self, dataset, pdfPages,
         pdfPages : `matplotlib.backends.backend_pdf.PdfPages`
             PDF file where the plots will be saved.
 
-        log : `lsst.log.Log`, optional
+        log : `logging.Logger`, optional
             Logger to handle messages
         """
         mu = dataset.finalMeans
@@ -465,7 +465,7 @@ def plotNormalizedCovariances(self, i, j, inputMu, covs, covsModel, covsWeights,
             Plot the top plot with the covariances, and the bottom
             plot with the model residuals?
 
-        log : `lsst.log.Log`, optional
+        log : `logging.Logger`, optional
             Logger to handle messages.
         """
         if not topPlot:

diff --git a/python/lsst/cp/pipe/ptc/plotPtcGen2.py b/python/lsst/cp/pipe/ptc/plotPtcGen2.py
@@ -179,7 +179,7 @@ def covAstierMakeAllPlots(self, dataset, pdfPages,
         pdfPages : `matplotlib.backends.backend_pdf.PdfPages`
             PDF file where the plots will be saved.
 
-        log : `lsst.log.Log`, optional
+        log : `logging.Logger`, optional
             Logger to handle messages
         """
         mu = dataset.finalMeans
@@ -498,7 +498,7 @@ def plotNormalizedCovariances(self, i, j, inputMu, covs, covsModel, covsWeights,
             Plot the top plot with the covariances, and the bottom
             plot with the model residuals?
 
-        log : `lsst.log.Log`, optional
+        log : `logging.Logger`, optional
             Logger to handle messages.
         """
         if not topPlot: