lint(codespell): docs and examples.

docs/misc/development.md

@@ -1,5 +1,5 @@
 # Developing SNAKE {#developing-snake}
-## Developement environment {#developement-environment}
+## Development environment {#developement-environment}
 
 We recommend to use a virtual environment, and install SNAKE-FMRI and
 its dependencies in it.

docs/mrd-simulation.md

@@ -18,7 +18,7 @@ The SNAKE MRD file structure is as follows:
 
  - `header` group: contains the metadata for the file, as well as serialized information for the simulation. 
  - `acquisition` group: contains the raw k-space data and the acquisition parameters. 
- - `images` group: contains the static informations for the simulation (phantom, coil sensitivity maps, etc.).
+ - `images` group: contains the static information for the simulation (phantom, coil sensitivity maps, etc.).
  - `waveforms` group: contains the dynamic information for the simulation (motion, physiological noise, etc.).
 
 

examples/example_T2s_EPI.py

@@ -112,7 +112,7 @@
 # This is available in the companion package ``snake.toolkit``.
 #
 # Loading the ``.mrd`` file to retrieve all information can be done using the
-# ``ismrmd`` python package, but SNAKE provides convient dataloaders, which are
+# ``ismrmd`` python package, but SNAKE provides convenient dataloaders, which are
 # more efficient, and take cares of managing underlying files access. As we are
 # showcasing the API, we will do things manually here, and use only core SNAKE.
 

examples/example_anat_EPI.py

@@ -41,7 +41,7 @@
 #
 # The simulation acquires
 # the data describe in a phantom. A phantom consists of fuzzy segmentation of
-# head tissue, and their MR intrisic parameters
+# head tissue, and their MR intrinsic parameters
 # (density, T1, T2, T2*,  magnetic susceptibilities)
 #
 # Here we use Brainweb reference mask and values for convenience.
@@ -124,7 +124,7 @@
 # This is available in the companion package ``snake.toolkit``.
 #
 # Loading the ``.mrd`` file to retrieve all information can be done using the
-# ``ismrmd`` python package, but SNAKE provides convient dataloaders, which are
+# ``ismrmd`` python package, but SNAKE provides convenient dataloaders, which are
 # more efficient, and take cares of managing underlying files access. As we are
 # showcasing the API, we will do things manually here, and use only core SNAKE.
 

examples/example_gpu_anat_spirals.py

@@ -160,7 +160,7 @@
 # This is available in the companion package ``snake.toolkit``.
 #
 # Loading the ``.mrd`` file to retrieve all information can be done using the
-# ``ismrmd`` python package, but SNAKE provides convient dataloaders, which are
+# ``ismrmd`` python package, but SNAKE provides convenient dataloaders, which are
 # more efficient, and take cares of managing underlying files access. As we are
 # showcasing the API, we will do things manually here, and use only core SNAKE.
 

pyproject.toml

@@ -141,3 +141,4 @@ exclude = ["examples/"]
 
 [tool.codespell]
 ignore-words-list = ["TE","fpr"]
+skip = ["docs/generated", "*.ipynb"]