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Created with Raphaël 2.2.04Feb8Jan76431Dec20181476328Nov262025Oct24231916121098126Sep2421205322Aug1714131198732131Jul18520Jun22May1811Apr9312Mar85128Feb27262322211687618Jan1211108515Dec13875430Nov2017151427Oct261314Sep1312630Aug2928181110431Jul2725201430Jun2726232120191615924May2319181714131211975428Apr2726252419181211530Mar282423222120171614131098624Feb232116152131Jan3027252422212019171615121110985431Dec3021201563223Nov2117161514932130Oct26252416Sep930Aug166428Jun1410add integration testscorrect magnetic field unitsuse phase factors instead of bare phasesreplace _gauge_* closures with a classremove cryptic importsadd magnetic gauge fixing for infinite systems and systems with leadsCI: allow test failures on bleeding edgeMerge branch 'derivatives' into 'master'remove unneeded numpy output storageformat docstringsremove explicit sorting of the energieschange _crossover_size to class attribute, clean up docstrings and comments, __call__ restructuredchange matrix computation depending on size, change variable names to be more explicitadd eigenvector computation and return energies with higher derivatives or vectors as a tupleupdate argument names for keyword only and more explicit namingadd derivatives for dispersionimplement lead_paddings attributemove a value range check to the place before the value is usedskip callable parameters in spectrum titleMerge branch 'bugfix/no-numpy-matrices' into 'master'print durations of 10 slowest testsverify that wraparound emits a warningcorrectly ignore missing data in limit calculationscorrectly use raw strings with backslashesremove erroneous checkavoid using deprecated block matrix calluse an own implementation of summing sparse matrix columnsadd a missing documentation of gaugeonly build docker images when manually triggeredinternal function formatting cleanupMerge branch 'feature/flux' into 'master'add a whatsnew entry for 'magnetic_gauge'mark flux module as provisionaladd magnetic gauge fixing for finite systemsMerge branch 'patch-13' into 'master'transform hamiltonian to CSC format in tutorialsuse shift-invert in other instances of 'sla.eigsh' in tutorialuse the shift-inverse method for finding sparse eigenvalues in tutorialNot fully working implementation of the streamplot in 2D. Could be some fundamental problems with the plotly function itself.feature/#253/st…feature/#253/streamplot_plotlyadd scalarplot() implementation for plotly backendfeature/#252/sc…feature/#252/scalarplot_plotly
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