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  • boundstate
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Created with Raphaël 2.2.021Sep205322Aug1714131198732131Jul18520Jun22May1811Apr9312Mar85128Feb27262322211687618Jan1211108515Dec13875430Nov2017151427Oct261314Sep1312630Aug2928181110431Jul2725201430Jun2726232120191615924May2319181714131211975428Apr2726252419181211530Mar282423222120171614131098624Feb232116152131Jan3027252422212019171615121110985431Dec3021201563223Nov2117161514932130Oct26252416Sep930Aug166428Jun1410864330May2726531Apr8Mar8Jan16Dec151411987326Nov242313111075226Octpin sympy to version < 1.2 due to incompatibilitiesversion/pin-sympyversion/pin-sympyexplain that kwant no longer accepts default values in value functionsBuilder.substitute: move check for leads to the topbuilder: rename subs to substitutefinalized builders: store parameter names together with valuesoptimize builder parameter substitutiononly accept value functions with named positional argumentswraparound: use positional args exclusivelyremove print from testadd a space between "'coords'parameter"ci: generate junit report from testsMerge branch 'stable'fix CI link templateRELEASE.rst: move conda preparation further downMerge branch 'refname' into stabledocument Kwant version stringlinks to source: get refname from version stringmask points where the density is zerofix the bounds over which to mask to include paddingreplace todense with toarray calls on sparse matricescorrect typo in KPM documentationremove used of deprecated matplotlib optionci: remove Github mirroringMerge branch 'refactor/plotter' into 'master'restore compatibility with Sphinx >= 1.7fix up plotter docstringsrefactor 'plotter.density' into 'plotter.scalarplot'ci: remove Github mirroringadd whatsnew entry for rectangular discretization gridsMerge branch 'discretizer_rectangular' into 'master'remove temporary local variableinline _process_grid_args and clarify how arguments are treatedtidy up docstrings and error messagesadd support for rectangular discretization gridsfix docstrings in plotterif we intend to use pyplot, use it also to create figuresMerge branch 'issue_209' into 'stable'use Moore-Penrose pseudo inverse from numpyfactor out and extend check of constraints for "prim_vecs"explicitly set integer dtype for permutation matrix