Fix 'inhomogeneous shape' error topology on adsorption #102
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Update sklearn -> scikit-learn package name to avoid deprecation warning
Fix warning for incorrect compare with literal
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numpy now treats initialising inhomogeneous shape arrays by throwing an exception. This means that the topology code in the adsorption module now throws an exception with the sample code in the documentation.
By treating passing dtype=object, numpy will allow the creation of inhomogeneous shaped arrays - This PR fixes the module and allows the sample code to run successfully,