Fix typos found by codespell

doc/index.rst

@@ -19,4 +19,3 @@ Indices and tables
 * :ref:`genindex`
 * :ref:`modindex`
 * :ref:`search`
-

ismrmrdtools/coils.py

@@ -1,6 +1,6 @@
 # -*- coding: utf-8 -*-
 """
-Utilities for coil sensivity maps, pre-whitening, etc
+Utilities for coil sensitivity maps, pre-whitening, etc
 """
 import numpy as np
 from scipy import ndimage
@@ -11,7 +11,7 @@ def calculate_prewhitening(noise, scale_factor=1.0):
 
     :param noise: Input noise data (array or matrix), ``[coil, nsamples]``
     :scale_factor: Applied on the noise covariance matrix. Used to
-                   adjust for effective noise bandwith and difference in
+                   adjust for effective noise bandwidth and difference in
                    sampling rate between noise calibration and actual measurement:
                    scale_factor = (T_acq_dwell/T_noise_dwell)*NoiseReceiverBandwidthRatio
 

ismrmrdtools/grappa.py

@@ -148,4 +148,4 @@ def _pad_kernel(gkernel,padded_shape):
     padding_before = ((padding+1)/2).astype(int)
     padded_kernel[padding_before[0]:(padding_before[0]+gkernel.shape[0]),padding_before[1]:(padding_before[1]+gkernel.shape[1]),padding_before[2]:(padding_before[2]+gkernel.shape[2])] = gkernel
     return padded_kernel
-     
+

ismrmrdtools/ndarray_io.py

@@ -79,4 +79,5 @@ def read_ndarray(filename):
     arr = np.frombuffer(by,datatype);
     arr = arr.reshape(dims)
 
-    return arr
+    return arr
+

ismrmrdtools/simulation.py

@@ -17,7 +17,7 @@ def sample_data(img_obj, csm, acc=1, ref=0, sshift=0):
 #%    - sshift  scalar   : Sampling shift, i.e for undersampling, do we
 #%                         start with line 1 or line 1+sshift?
 #%
-#%  OUPUT:
+#%  OUTPUT:
 #%    - data    [kx,ky,c]: Sampled data in k-space (zeros where not sampled)
 #%    - pat     [kx,ky,c]: Sampling pattern (0 = not sampled,
 #%                                           1 = imaging data,

recon_ismrmrd_dataset.py

@@ -65,7 +65,7 @@
         break
 
 
-# Initialiaze a storage array
+# Initialize a storage array
 all_data = np.zeros((nreps, ncontrasts, nslices, ncoils, eNz, eNy, rNx), dtype=np.complex64)
 
 # Loop through the rest of the acquisitions and stuff

recon_multi_reps.py

@@ -49,7 +49,7 @@
 
     # TODO: Currently ignoring noise scans
     if not acq.isFlagSet(ismrmrd.ACQ_IS_NOISE_MEASUREMENT):
-       raise Exception("Errror: non noise scan found in noise calibration")
+       raise Exception("Error: non noise scan found in noise calibration")
 
     noise[:,acqnum*noise_samples:acqnum*noise_samples+noise_samples] = acq.data
 
@@ -175,4 +175,3 @@
         recon[r,:,:,:,:] = np.sum(np.conj(csm) * recon_data,0)
 
 show.imshow(np.squeeze(np.std(np.abs(recon),0)),colorbar=True,scale=(1,2))
-