Fix various typos

.github/ISSUE_TEMPLATE/documentation.md

@@ -10,6 +10,6 @@ assignees: ''
 For example: "add 'foo' to the glossary" or "add my favorite visualization to
 the ERP tutorial".*
 
-#### Proposed documentation ehancement
+#### Proposed documentation enhancement
 *Describe your proposed enhancement in detail. If you are requesting a new
 glossary term, please include a proposed definition.*

Makefile

@@ -1,4 +1,4 @@
-# simple makefile to simplify repetetive build env management tasks under posix
+# simple makefile to simplify repetitive build env management tasks under posix
 
 PYTHON ?= python
 PYTESTS ?= py.test

mne/beamformer/tests/test_dics.py

@@ -429,7 +429,7 @@ def test_real(_load_forward, idx):
     reg = 1  # Lots of regularization for our toy dataset
     filters_real = make_dics(epochs.info, fwd_surf, csd, label=label, reg=reg,
                              real_filter=True, inversion='single')
-    # Also test here that no warings are thrown - implemented to check whether
+    # Also test here that no warnings are thrown - implemented to check whether
     # src should not be None warning occurs:
     power, f = apply_dics_csd(csd, filters_real)
 

mne/bem.py

@@ -1136,7 +1136,7 @@ def make_watershed_bem(subject, subjects_dir=None, overwrite=False,
     if op.isfile(T1_mgz):
         new_info = _extract_volume_info(T1_mgz) if has_nibabel() else dict()
         if not new_info:
-            warn('nibabel is not available or the volumn info is invalid.'
+            warn('nibabel is not available or the volume info is invalid.'
                  'Volume info not updated in the written surface.')
         surfs = ['brain', 'inner_skull', 'outer_skull', 'outer_skin']
         for s in surfs:
@@ -1718,7 +1718,7 @@ def _write_echos(mri_dir, flash_echos, angle):
 @verbose
 def convert_flash_mris(subject, flash30=True, unwarp=False,
                        subjects_dir=None, flash5=True, verbose=None):
-    """Synthetize the flash 5 files for use with make_flash_bem.
+    """Synthesize the flash 5 files for use with make_flash_bem.
 
     This function aims to produce a synthesized flash 5 MRI from
     multiecho flash (MEF) MRI data. This function can use MEF data

mne/coreg.py

@@ -822,7 +822,7 @@ def _scale_params(subject_to, subject_from, scale, subjects_dir):
         scale = cfg['scale']
     scale = np.atleast_1d(scale)
     if scale.ndim != 1 or scale.shape[0] not in (1, 3):
-        raise ValueError("Invalid shape for scale parameer. Need scalar "
+        raise ValueError("Invalid shape for scale parameter. Need scalar "
                          "or array of length 3. Got shape %s."
                          % (scale.shape,))
     n_params = len(scale)

mne/data/FreeSurferColorLUT.txt

@@ -173,7 +173,7 @@
 169 Left-Basal-Ganglia                      236 13  127 0
 176 Right-Basal-Ganglia                     236 13  126 0
 
-# Label names and colors for Brainstem consituents
+# Label names and colors for Brainstem constituents
 # No.  Label Name:                          R   G   B   A
 170 brainstem                               119 159 176 0
 171 DCG                                     119 0   176 0
@@ -416,14 +416,14 @@
 # created by mri_aparc2aseg in which the aseg cortex label is replaced
 # by the labels in the aparc. It also supports wm labels that will
 # eventually be created by mri_aparc2aseg. Otherwise, the aseg labels
-# do not change from above. The cortical lables are the same as in
+# do not change from above. The cortical labels are the same as in
 # colortable_desikan_killiany.txt, except that left hemisphere has
 # 1000 added to the index and the right has 2000 added.  The label
 # names are also prepended with ctx-lh or ctx-rh. The white matter
 # labels are the same as in colortable_desikan_killiany.txt, except
 # that left hemisphere has 3000 added to the index and the right has
 # 4000 added. The label names are also prepended with wm-lh or wm-rh.
-# Centrum semiovale is also labled with 5001 (left) and 5002 (right).
+# Centrum semiovale is also labeled with 5001 (left) and 5002 (right).
 # Even further below are the color tables for aparc.a2005s and aparc.a2009s.
 
 #No.    Label Name:                         R   G   B   A

mne/filter.py

@@ -802,7 +802,7 @@ def filter_data(data, sfreq, l_freq, h_freq, picks=None, filter_length='auto',
 
     .. note:: If n_jobs > 1, more memory is required as
               ``len(picks) * n_times`` additional time points need to
-              be temporaily stored in memory.
+              be temporarily stored in memory.
 
     For more information, see the tutorials
     :ref:`disc-filtering` and :ref:`tut-filter-resample` and
@@ -1993,7 +1993,7 @@ def filter(self, l_freq, h_freq, picks=None, filter_length='auto',
 
         .. note:: If n_jobs > 1, more memory is required as
                   ``len(picks) * n_times`` additional time points need to
-                  be temporaily stored in memory.
+                  be temporarily stored in memory.
 
         For more information, see the tutorials
         :ref:`disc-filtering` and :ref:`tut-filter-resample` and
@@ -2139,7 +2139,7 @@ def apply_hilbert(self, picks=None, envelope=False, n_jobs=None,
         If envelope=False, more memory is required since the original raw data
         as well as the analytic signal have temporarily to be stored in memory.
         If n_jobs > 1, more memory is required as ``len(picks) * n_times``
-        additional time points need to be temporaily stored in memory.
+        additional time points need to be temporarily stored in memory.
 
         Also note that the ``n_fft`` parameter will allow you to pad the signal
         with zeros before performing the Hilbert transform. This padding

mne/forward/forward.py

@@ -1321,7 +1321,7 @@ def compute_depth_prior(forward, info, exp=0.8, limit=10.0,
         ws = np.sort(w)
         weight_limit = limit ** 2
         if limit_depth_chs is False:
-            # match old mne-python behavor
+            # match old mne-python behavior
             # we used to do ind = np.argmin(ws), but this is 0 by sort above
             n_limit = 0
             limit = ws[0] * weight_limit

mne/io/base.py

@@ -1043,7 +1043,7 @@ def notch_filter(self, freqs, picks=None, filter_length='auto',
 
         .. note:: If n_jobs > 1, more memory is required as
                   ``len(picks) * n_times`` additional time points need to
-                  be temporaily stored in memory.
+                  be temporarily stored in memory.
 
         For details, see :func:`mne.filter.notch_filter`.
         """

mne/io/eeglab/tests/test_eeglab.py

@@ -317,7 +317,7 @@ def test_degenerate(tmp_path):
 @pytest.mark.parametrize("fname", [
     raw_fname_mat,
     raw_fname_onefile_mat,
-    # We don't test the h5 varaints here because they are implicitly tested
+    # We don't test the h5 variants here because they are implicitly tested
     # in test_io_set_raw
 ])
 @pytest.mark.filterwarnings('ignore: Complex objects')

mne/io/snirf/_snirf.py

@@ -96,8 +96,8 @@ def __init__(self, fname, optode_frame="unknown",
                      "MNE does not support this feature. "
                      "Only the first dataset will be processed.")
 
-            manafacturer = _get_metadata_str(dat, "ManufacturerName")
-            if (optode_frame == "unknown") & (manafacturer == "Gowerlabs"):
+            manufacturer = _get_metadata_str(dat, "ManufacturerName")
+            if (optode_frame == "unknown") & (manufacturer == "Gowerlabs"):
                 optode_frame = "head"
 
             snirf_data_type = np.array(dat.get('nirs/data1/measurementList1'

mne/report/js_and_css/report.js

@@ -216,7 +216,7 @@ const disableGlobalKeyHandler = () => {
   window.onkeydown = null;
 }
 
-/* Disbale processing global key events when a search box is active */
+/* Disable processing global key events when a search box is active */
 const disableGlobalKeysInSearchBox = () => {
   const searchBoxElements = document.querySelectorAll('input.search-input');
   searchBoxElements.forEach((el) => {

mne/simulation/raw.py

@@ -562,7 +562,7 @@ def add_chpi(raw, head_pos=None, interp='cos2', n_jobs=None, verbose=None):
     # turn on cHPI in file
     data = raw._data
     data[hpi_pick, :] = hpi_ons.sum()
-    _log_ch('cHPI status bits enbled and', info, hpi_pick)
+    _log_ch('cHPI status bits enabled and', info, hpi_pick)
     sinusoids = 70e-9 * np.sin(2 * np.pi * hpi_freqs[:, np.newaxis] *
                                (np.arange(len(times)) / info['sfreq']))
     info = pick_info(info, meg_picks)

mne/utils/docs.py

@@ -1027,7 +1027,7 @@ def _reflow_param_docstring(docstring, has_first_line=True, width=75):
 docdict['exclude_frontal'] = """
 exclude_frontal : bool
     If True, exclude points that have both negative Z values
-    (below the nasion) and positivy Y values (in front of the LPA/RPA).
+    (below the nasion) and positive Y values (in front of the LPA/RPA).
 """
 
 docdict['export_edf_note'] = """

mne/viz/_brain/_brain.py

@@ -2123,7 +2123,7 @@ def add_label(self, label, color=None, alpha=1, scalar_thresh=None,
             (away from the true border) along the cortical mesh to include
             as part of the border definition.
         hemi : str | None
-            If None, it is assumed to belong to the hemipshere being
+            If None, it is assumed to belong to the hemisphere being
             shown.
         subdir : None | str
             If a label is specified as name, subdir can be used to indicate
@@ -2540,7 +2540,7 @@ def add_foci(self, coords, coords_as_verts=False, map_surface=None,
         name : str
             Internal name to use.
         hemi : str | None
-            If None, it is assumed to belong to the hemipshere being
+            If None, it is assumed to belong to the hemisphere being
             shown. If two hemispheres are being shown, an error will
             be thrown.
         resolution : int
@@ -2777,7 +2777,7 @@ def add_annotation(self, annot, borders=True, alpha=1, hemi=None,
             as part of the border definition.
         %(alpha)s Default is 1.
         hemi : str | None
-            If None, it is assumed to belong to the hemipshere being
+            If None, it is assumed to belong to the hemisphere being
             shown. If two hemispheres are being shown, data must exist
             for both hemispheres.
         remove_existing : bool