src/toolbox_scs/mnemonics_machinery.py

@@ -10,6 +10,10 @@ import logging
 
 from .constants import mnemonics as _mnemonics
 
+__all__ = [
+    'mnemonics_for_run'
+]
+
 log = logging.getLogger(__name__)
 
 
@@ -83,7 +87,7 @@ def mnemonics_to_process(mnemo_list, merge_with, detector, func=None):
     merge_with: xarray Dataset
         Dataset that may contain non-processed arrays
     detector: str
-        One in {'ADQ412', 'FastADC', 'XGM', 'BAM'}
+        One in {'ADQ412', 'FastADC', 'XGM', 'BAM', 'PES'}
     func: function
         function that takes one argument, an unprocessed mnemonic string,
         and converts it into a processed one, i.e. from 'MCP2apd' to
@@ -110,7 +114,8 @@ def mnemonics_to_process(mnemo_list, merge_with, detector, func=None):
         default_mnemo = 'SCS_SA3'
         default_processed = 'SCS_SA3'
     if detector == 'ADQ412':
-        det_mnemos = [m for m in _mnemonics if 'MCP' in m]
+        det_mnemos = [m for m in _mnemonics if 'MCP' in m and
+                      'XTD10_' not in m]
         default_mnemo = 'MCP2apd'
         default_processed = 'MCP2peaks'
     if detector == 'FastADC':

src/toolbox_scs/routines/XAS.py

@@ -14,6 +14,11 @@ import matplotlib.gridspec as gridspec
 import matplotlib.pyplot as plt
 import re
 
+__all__ = [
+    'xas',
+    'xasxmcd',
+]
+
 
 def absorption(T, Io, fluorescence=False):
     """ Compute the absorption A = -ln(T/Io) (or A = T/Io

src/toolbox_scs/routines/__init__.py

-from .XAS import (
-    xas, xasxmcd)
-from .knife_edge import knife_edge
+from .XAS import *
+
+# Module name is the same as a child function, we use alias to avoid conflict
+import toolbox_scs.routines.knife_edge as knife_edge_module
+from .knife_edge import *
 
 __all__ = (
-    # Functions
-    "xas",
-    "xasxmcd",
-    "knife_edge"
+    knife_edge_module.__all__
+    + XAS.__all__
 )
-
-# -----------------------------------------------------------------------------
-# Clean namespace
-#     -> certain filenames we dont need in the namespace. Especially not those
-#     that are marked as private by using an underscore (_<filename>.py).
-# -----------------------------------------------------------------------------
-
-clean_ns = [
-    # filenames
-    'XAS',
-    ]
-
-
-for name in dir():
-    if name in clean_ns:
-        del globals()[name]
-
-del globals()['clean_ns']
-del globals()['name']

src/toolbox_scs/routines/knife_edge.py

@@ -11,6 +11,10 @@ from scipy.special import erfc
 from scipy.optimize import curve_fit
 import bisect
 
+__all__ = [
+    'knife_edge'
+]
+
 
 def knife_edge(ds, axisKey='scannerX',
                signalKey='FastADC4peaks',