diff --git a/test.py b/test.py index da39629..ac0259c 100644 --- a/test.py +++ b/test.py @@ -255,12 +255,14 @@ def li_test(): network_loader, folder + '/reaction_tally.tex' ) - # Run `pdflatex reaction_tally.tex` to generate the tally report PDF. + # Run `pdflatex reaction_tally.tex` in `scratch/li_test` to generate + # the tally report PDF. - # The species report shows every specie in the network and their ID. + # The species report shows every specie in the network and their IDs. species_report(network_loader, folder + '/species_report.tex') - # Run `pdflatex species_report.tex` to generate the species report PDF. + # Run `pdflatex species_report.tex` in `scratch/li_test` to generate + # the species report PDF. # Pathfinding is a central goal of HiPRGen / GMC. See mc_analysis.py for @@ -281,8 +283,8 @@ def li_test(): folder + '/LEDC_pathways.tex', sort_by_frequency=False ) - # Run `pdflatex LEDC_pathways.tex` to generater the LEDC pathway - # report. + # Run `pdflatex LEDC_pathways.tex` in `scratch/li_test` to generate + # the LEDC pathway report PDF. # The simulation replayer sweeps through all trajectories in order @@ -296,8 +298,8 @@ def li_test(): consumption_report(simulation_replayer, LEDC_id, folder + '/LEDC_consumption_report.tex') - # Run `pdflatex LEDC_consumption_report.tex` to generate the LEDC - # consumption report. + # Run `pdflatex LEDC_consumption_report.tex` in `scratch/li_test` + # to generate the LEDC consumption report PDF. # The sink report shows species which have a production to @@ -312,7 +314,8 @@ def li_test(): # have sufficiently low-cost paths to pass the third criteria and # thus to be considered products of the test network used here. sink_report(simulation_replayer, folder + '/sink_report.tex') - # Run `pdflatex sink_report.tex` to generater the sink report PDF. + # Run `pdflatex sink_report.tex` in `scratch/li_test` to generate + # the sink report PDF.