@@ -821,7 +821,7 @@ class AutoTLRCInputSpec(CommandLineInputSpec):
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class AutoTLRC (AFNICommand ):
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- """A minmal wrapper for the AutoTLRC script
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+ """A minimal wrapper for the AutoTLRC script
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The only option currently supported is no_ss.
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For complete details, see the `3dQwarp Documentation.
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<https://afni.nimh.nih.gov/pub/dist/doc/program_help/@auto_tlrc.html>`_
@@ -1327,7 +1327,7 @@ class ECMInputSpec(CentralityInputSpec):
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)
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fecm = traits .Bool (
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desc = "Fast centrality method; substantial speed increase but cannot "
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- "accomodate thresholding; automatically selected if -thresh or "
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+ "accommodate thresholding; automatically selected if -thresh or "
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"-sparsity are not set" ,
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argstr = "-fecm" ,
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)
@@ -2933,7 +2933,7 @@ class TProjectInputSpec(AFNICommandInputSpec):
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the output dataset:
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* mode = ZERO -- put zero values in their place;
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- output datset is same length as input
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+ output dataset is same length as input
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* mode = KILL -- remove those time points;
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output dataset is shorter than input
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* mode = NTRP -- censored values are replaced by interpolated
@@ -3073,7 +3073,7 @@ class TProject(AFNICommand):
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as ``-passband``. In this way, you can bandpass time-censored data, and at
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the same time, remove other time series of no interest
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(e.g., physiological estimates, motion parameters).
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- Shifts voxel time series from input so that seperate slices are aligned to
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+ Shifts voxel time series from input so that separate slices are aligned to
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the same temporal origin.
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Examples
@@ -3188,7 +3188,7 @@ class TShiftOutputSpec(AFNICommandOutputSpec):
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class TShift (AFNICommand ):
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- """Shifts voxel time series from input so that seperate slices are aligned
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+ """Shifts voxel time series from input so that separate slices are aligned
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to the same temporal origin.
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For complete details, see the `3dTshift Documentation.
@@ -3658,7 +3658,7 @@ class QwarpInputSpec(AFNICommandInputSpec):
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with 3dNwarpApply and 3dNwarpCat, for example.
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* To be clear, this is the warp from source dataset
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coordinates to base dataset coordinates, where the
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- values at each base grid point are the xyz displacments
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+ values at each base grid point are the xyz displacements
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needed to move that grid point's xyz values to the
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corresponding xyz values in the source dataset:
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base( (x,y,z) + WARP(x,y,z) ) matches source(x,y,z)
@@ -4034,7 +4034,7 @@ class QwarpInputSpec(AFNICommandInputSpec):
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The goal is greater speed, and it seems to help this"
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positively piggish program to be more expeditious."
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* However, accuracy is somewhat lower with '-duplo',"
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- for reasons that currenly elude Zhark; for this reason,"
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+ for reasons that currently elude Zhark; for this reason,"
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the Emperor does not usually use '-duplo'.
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""" ,
@@ -4225,21 +4225,21 @@ class QwarpInputSpec(AFNICommandInputSpec):
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)
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hel = traits .Bool (
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desc = "Hellinger distance: a matching function for the adventurous"
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- "This option has NOT be extensively tested for usefullness "
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+ "This option has NOT be extensively tested for usefulness "
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"and should be considered experimental at this infundibulum." ,
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argstr = "-hel" ,
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xor = ["nmi" , "mi" , "lpc" , "lpa" , "pear" ],
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)
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mi = traits .Bool (
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desc = "Mutual Information: a matching function for the adventurous"
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- "This option has NOT be extensively tested for usefullness "
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+ "This option has NOT be extensively tested for usefulness "
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"and should be considered experimental at this infundibulum." ,
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argstr = "-mi" ,
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xor = ["mi" , "hel" , "lpc" , "lpa" , "pear" ],
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)
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nmi = traits .Bool (
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desc = "Normalized Mutual Information: a matching function for the adventurous"
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- "This option has NOT been extensively tested for usefullness "
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+ "This option has NOT been extensively tested for usefulness "
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"and should be considered experimental at this infundibulum." ,
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argstr = "-nmi" ,
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xor = ["nmi" , "hel" , "lpc" , "lpa" , "pear" ],
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