Re #19770 Fixed missing import in workflow scripts

scripts/Vates/Inelastic_Workflow.py

-#pylint: disable=invalid-name
-#Common names
+# pylint: disable=invalid-name
+# Common names
+import mantid.simpleapi as mantid
+
 filename = 'fe_demo_30.sqw'
-ws_in ='fe_demo_30'
+ws_in = 'fe_demo_30'
 
-#Load an SQW file and internally convert to a Multidimensional event workspace (MDEW)
-if not mtd.doesExist(ws_in):
-    LoadSQW(filename,    OutputWorkspace=ws_in)
+# Load an SQW file and internally convert to a Multidimensional event workspace (MDEW)
+if not mantid.mtd.doesExist(ws_in):
+    mantid.LoadSQW(filename, OutputWorkspace=ws_in)
 
-#Bin the workspace in an axis aligned manner. Creates a Histogrammed MD workspace.
-BinMD(InputWorkspace=ws_in,OutputWorkspace='binned_axis_aligned',AxisAligned=True,
-      AlignedDim0='Q_\\zeta,-1.5,5,100',
-      AlignedDim1='Q_\\xi,-6,6,100',
-      AlignedDim2='Q_\\eta,-6,6,100',
-      AlignedDim3='E,0,150,30')
+# Bin the workspace in an axis aligned manner. Creates a Histogrammed MD workspace.
+mantid.BinMD(InputWorkspace=ws_in, OutputWorkspace='binned_axis_aligned', AxisAligned=True,
+             AlignedDim0='Q_\\zeta,-1.5,5,100',
+             AlignedDim1='Q_\\xi,-6,6,100',
+             AlignedDim2='Q_\\eta,-6,6,100',
+             AlignedDim3='E,0,150,30')
 
-#Bin the workpace using a coordinate transformation to rotate the output.. Creates a Histogrammed MD workspace.
-BinMD(InputWorkspace=ws_in,OutputWorkspace='binned_rotated',AxisAligned=False,
-      BasisVector0='Qx,Ang,1,0.5,0,0,1,100',
-      BasisVector1='Qy,Ang,-0.5,1,0,0,1,100',
-      BasisVector2='Qz,Ang,0,0,1.25,0,1,100',
-      Origin='0,0,0,0')
+# Bin the workpace using a coordinate transformation to rotate the output.. Creates a Histogrammed MD workspace.
+mantid.BinMD(InputWorkspace=ws_in, OutputWorkspace='binned_rotated', AxisAligned=False,
+             BasisVector0='Qx,Ang,1,0.5,0,0,1,100',
+             BasisVector1='Qy,Ang,-0.5,1,0,0,1,100',
+             BasisVector2='Qz,Ang,0,0,1.25,0,1,100',
+             Origin='0,0,0,0')
 
-#Save the MDEW workspace in the MDEW nexus format.
-SaveMD(ws_in, Filename='MDEW_fe_demo_30.nxs')
+# Save the MDEW workspace in the MDEW nexus format.
+mantid.SaveMD(ws_in, Filename='MDEW_fe_demo_30.nxs')
 
-#Could reload the MDEW at this point.
+# Could reload the MDEW at this point.

scripts/Vates/SXD_NaCl.py

 from __future__ import (absolute_import, division, print_function)
+import mantid.simpleapi as mantid
 
 
 def reportUnitCell(peaks_ws):
@@ -15,26 +16,27 @@ def reportUnitCell(peaks_ws):
 #
 # Exclude the monitors when loading the raw SXD file.  This avoids
 #
-Load(Filename='SXD23767.raw',OutputWorkspace='SXD23767',LoadMonitors='Exclude')
+mantid.Load(Filename='SXD23767.raw', OutputWorkspace='SXD23767', LoadMonitors='Exclude')
 
 #
 # A lower SplitThreshold, with a reasonable bound on the recursion depth, helps find weaker peaks at higher Q.
 #
-QLab = ConvertToDiffractionMDWorkspace(InputWorkspace='SXD23767', OutputDimensions='Q (lab frame)',
-                                       SplitThreshold=50, LorentzCorrection='1',
-                                       MaxRecursionDepth='13',Extents='-15,15,-15,15,-15,15')
+QLab = mantid.ConvertToDiffractionMDWorkspace(InputWorkspace='SXD23767', OutputDimensions='Q (lab frame)',
+                                              SplitThreshold=50, LorentzCorrection='1',
+                                              MaxRecursionDepth='13', Extents='-15,15,-15,15,-15,15')
 
 #
 #  NaCl has a relatively small unit cell, so the distance between peaks is relatively large.  Setting the PeakDistanceThreshold
 #  higher avoids finding high count regions on the sides of strong peaks as separate peaks.
 #
-peaks_qLab = FindPeaksMD(InputWorkspace='QLab', MaxPeaks=300, DensityThresholdFactor=10,PeakDistanceThreshold=1.0)
+peaks_qLab = mantid.FindPeaksMD(InputWorkspace='QLab', MaxPeaks=300, DensityThresholdFactor=10,
+                                PeakDistanceThreshold=1.0)
 
 #
 #  Fewer peaks index if Centroiding is used.  This indicates that there may be an error in the centroiding algorithm,
 #  since the peaks seem to be less accurate.
 #
-#peaks_qLab = CentroidPeaksMD(InputWorkspace='QLab',PeaksWorkspace=peaks_qLab)
+# peaks_qLab = CentroidPeaksMD(InputWorkspace='QLab',PeaksWorkspace=peaks_qLab)
 
 use_fft = True
 use_cubic_lat_par = False
@@ -44,32 +46,33 @@ use_Niggli_lat_par = False
 # Note: Reduced tolerance on  FindUBUsingFFT will omit peaks not near the lattice.  This seems to help
 # find the Niggli cell correctly, with all angle 60 degrees, and all sides 3.99
 #
-if  use_fft:
-    FindUBUsingFFT(PeaksWorkspace=peaks_qLab, MinD='3', MaxD='5',Tolerance=0.08)
+if use_fft:
+    mantid.FindUBUsingFFT(PeaksWorkspace=peaks_qLab, MinD='3', MaxD='5', Tolerance=0.08)
     print('\nNiggli cell found from FindUBUsingFFT:')
 
 if use_cubic_lat_par:
-    FindUBUsingLatticeParameters(PeaksWorkspace=peaks_qLab, a=5.6402,b=5.6402,c=5.6402,
-                                 alpha=90,beta=90,gamma=90,NumInitial=25,Tolerance=0.12)
+    mantid.FindUBUsingLatticeParameters(PeaksWorkspace=peaks_qLab, a=5.6402, b=5.6402, c=5.6402,
+                                        alpha=90, beta=90, gamma=90, NumInitial=25, Tolerance=0.12)
     print('\nCubic cell found directly from FindUBUsingLatticeParameters')
 
 if use_Niggli_lat_par:
-    FindUBUsingLatticeParameters(PeaksWorkspace=peaks_qLab, a=3.9882,b=3.9882,c=3.9882,
-                                 alpha=60,beta=60,gamma=60,NumInitial=25,Tolerance=0.12)
+    mantid.FindUBUsingLatticeParameters(PeaksWorkspace=peaks_qLab, a=3.9882, b=3.9882, c=3.9882,
+                                        alpha=60, beta=60, gamma=60, NumInitial=25, Tolerance=0.12)
     print('\nNiggli cell found from FindUBUsingLatticeParameters:')
 
 reportUnitCell(peaks_qLab)
 
-IndexPeaks(PeaksWorkspace=peaks_qLab,Tolerance=0.12,RoundHKLs=1)
+mantid.IndexPeaks(PeaksWorkspace=peaks_qLab, Tolerance=0.12, RoundHKLs=1)
 
 if use_fft or use_Niggli_lat_par:
-    ShowPossibleCells(PeaksWorkspace=peaks_qLab,MaxScalarError='0.5')
-    SelectCellOfType(PeaksWorkspace=peaks_qLab, CellType='Cubic', Centering='F', Apply=True)
+    mantid.ShowPossibleCells(PeaksWorkspace=peaks_qLab, MaxScalarError='0.5')
+    mantid.SelectCellOfType(PeaksWorkspace=peaks_qLab, CellType='Cubic', Centering='F', Apply=True)
 
-peaks_qLab_Integrated = IntegratePeaksMD(InputWorkspace=QLab, PeaksWorkspace=peaks_qLab, PeakRadius=0.2,
-                                         BackgroundInnerRadius=0.3, BackgroundOuterRadius=0.4)
+peaks_qLab_Integrated = mantid.IntegratePeaksMD(InputWorkspace=QLab, PeaksWorkspace=peaks_qLab, PeakRadius=0.2,
+                                                BackgroundInnerRadius=0.3, BackgroundOuterRadius=0.4)
 
-binned=BinMD(InputWorkspace=QLab,AlignedDim0='Q_lab_x,-15,15,200',AlignedDim1='Q_lab_y,-15,15,200',AlignedDim2='Q_lab_z,-15,15,200')
+binned = mantid.BinMD(InputWorkspace=QLab, AlignedDim0='Q_lab_x,-15,15,200', AlignedDim1='Q_lab_y,-15,15,200',
+                      AlignedDim2='Q_lab_z,-15,15,200')
 
 print('The final result is:')
 reportUnitCell(peaks_qLab)