| 1 | """ |
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| 2 | |
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| 3 | Have the script here that produces the data and graphs for the Anuga paper. |
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| 4 | |
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| 5 | |
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| 6 | Duncan Gray, GA - 2007 |
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| 7 | |
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| 8 | |
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| 9 | |
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| 10 | """ |
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| 11 | |
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| 12 | import shutil |
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| 13 | from os import path |
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| 14 | |
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| 15 | from run_dam import main, paras2outputdir_tag |
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| 16 | from calc_norm import auto_plot_test_rmsd, auto_rrms |
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| 17 | from plot import plot_exp_sim_comparision, auto_plot_compare_csv_subfigures |
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| 18 | |
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| 19 | # |
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| 20 | # INPUT PARAMETERS |
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| 21 | # |
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| 22 | |
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| 23 | END_TAG = '_I' |
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| 24 | #END_TAG = '_Z' |
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| 25 | #END_TAG = '_I' |
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| 26 | |
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| 27 | WIDTH = 0.1 |
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| 28 | |
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| 29 | # run_type 0 is fast to test things |
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| 30 | # run_type 1 is the standard |
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| 31 | RUN_TYPE = 1 |
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| 32 | MAXIMUM_TRIANGLE_AREA=0.0001 |
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| 33 | YIELDSTEP = 0.01 |
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| 34 | FRICTION = 0.0 |
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| 35 | USE_LIMITS = False |
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| 36 | OUTPUTDIR_NAME = "" |
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| 37 | #OUTPUTDIR_NAME = "_no_velocity" |
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| 38 | |
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| 39 | def data(): |
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| 40 | """ |
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| 41 | Produce the data for the Hinwood part of the anuga paper. |
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| 42 | eg run the scenario. |
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| 43 | """ |
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| 44 | from scenarios import scenarios |
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| 45 | |
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| 46 | |
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| 47 | #scenarios = [scenarios[0]] |
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| 48 | for run_data in scenarios: |
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| 49 | pro_instance = main( run_data['scenario_id'] + '_boundary.tsm', |
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| 50 | run_data, |
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| 51 | maximum_triangle_area=MAXIMUM_TRIANGLE_AREA, |
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| 52 | yieldstep=YIELDSTEP, |
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| 53 | width=WIDTH, |
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| 54 | run_type=RUN_TYPE, |
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| 55 | outputdir_name=run_data['scenario_id'], |
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| 56 | use_limits=USE_LIMITS, |
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| 57 | friction=FRICTION, |
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| 58 | end_tag=END_TAG) |
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| 59 | |
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| 60 | |
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| 61 | def graph_RMSD(): |
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| 62 | """ |
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| 63 | Produce the graphs for the Hinwood part of the anuga paper. |
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| 64 | """ |
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| 65 | from scenarios import scenarios, to_publish_indexes |
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| 66 | |
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| 67 | |
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| 68 | # Workout where these plots are |
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| 69 | outputdir_tag = paras2outputdir_tag(mta=MAXIMUM_TRIANGLE_AREA, |
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| 70 | yieldstep=YIELDSTEP, |
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| 71 | width=WIDTH, |
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| 72 | use_limits=USE_LIMITS, |
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| 73 | friction=FRICTION, |
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| 74 | end_tag=END_TAG, |
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| 75 | outputdir_name=OUTPUTDIR_NAME) |
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| 76 | paper_dir = path.join('..','..','publications','anuga_2007') |
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| 77 | |
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| 78 | # Calculate the RMSD's |
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| 79 | auto_rrms(outputdir_tag, scenarios, "stage", y_location_tag=':0.0') |
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| 80 | |
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| 81 | # All of the RMSD's , one per TEST |
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| 82 | |
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| 83 | file_names = auto_plot_test_rmsd(scenarios, outputdir_tag, |
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| 84 | to_publish_indexes, |
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| 85 | #add_run_info=True) |
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| 86 | add_run_info=False) |
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| 87 | |
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| 88 | # Move the files to the dir where the paper is being put together |
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| 89 | for plot_in in file_names: |
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| 90 | head, tail = path.split(plot_in) |
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| 91 | dest = path.join(paper_dir, tail) |
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| 92 | #print "plot_in", plot_in |
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| 93 | #print "dest", dest |
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| 94 | shutil.copyfile(plot_in,dest) |
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| 95 | |
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| 96 | |
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| 97 | |
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| 98 | def graph_stage_plots(): |
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| 99 | """ |
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| 100 | Produce the graphs for the Hinwood part of the anuga paper. |
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| 101 | """ |
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| 102 | from scenarios import scenarios, to_publish_indexes |
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| 103 | |
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| 104 | # Workout where these plots are |
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| 105 | outputdir_tag = paras2outputdir_tag(mta=MAXIMUM_TRIANGLE_AREA, |
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| 106 | yieldstep=YIELDSTEP, |
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| 107 | width=WIDTH, |
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| 108 | use_limits=USE_LIMITS, |
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| 109 | friction=FRICTION, |
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| 110 | end_tag=END_TAG, |
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| 111 | outputdir_name=OUTPUTDIR_NAME) |
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| 112 | paper_dir = path.join('..','..','publications','anuga_2007') |
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| 113 | |
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| 114 | # the graphs I want |
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| 115 | # stage comparison plots for T1R5, T2R7, T3R29, T4R32. |
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| 116 | |
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| 117 | plot_files = plot_exp_sim_comparision(scenarios, outputdir_tag, |
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| 118 | y_location_tag=':0.0') |
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| 119 | for key in to_publish_indexes.iterkeys(): |
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| 120 | for plot_i in to_publish_indexes[key]: |
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| 121 | plot_file_path_name = plot_files[key][plot_i] |
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| 122 | head, tail = path.split(plot_file_path_name) |
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| 123 | dest = path.join(paper_dir, tail) |
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| 124 | shutil.copyfile(plot_file_path_name,dest) |
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| 125 | |
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| 126 | def graph_4_stage_plots(): |
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| 127 | from scenarios import scenarios, to_publish_indexes |
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| 128 | |
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| 129 | #scenarios = scenarios[:2] |
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| 130 | outputdir_tag = paras2outputdir_tag(mta=MAXIMUM_TRIANGLE_AREA, |
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| 131 | yieldstep=YIELDSTEP, |
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| 132 | width=WIDTH, |
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| 133 | use_limits=USE_LIMITS, |
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| 134 | friction=FRICTION, |
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| 135 | end_tag=END_TAG, |
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| 136 | outputdir_name=OUTPUTDIR_NAME) |
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| 137 | paper_dir = path.join('..','..','publications','anuga_2007') |
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| 138 | |
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| 139 | save_as_list = auto_plot_compare_csv_subfigures(scenarios, outputdir_tag, |
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| 140 | to_publish_indexes, |
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| 141 | add_run_info=False, |
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| 142 | #add_run_info=True, |
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| 143 | is_interactive=False) |
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| 144 | for plot_in in save_as_list: |
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| 145 | head, tail = path.split(plot_in) |
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| 146 | dest = path.join(paper_dir, tail) |
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| 147 | #print "plot_in", plot_in |
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| 148 | #print "dest", dest |
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| 149 | shutil.copyfile(plot_in,dest) |
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| 150 | |
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| 151 | #------------------------------------------------------------- |
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| 152 | if __name__ == "__main__": |
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| 153 | # Edit the top of this file to change the general input parameters |
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| 154 | |
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| 155 | data() |
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| 156 | |
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| 157 | # Produce the graphs |
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| 158 | graph_RMSD() |
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| 159 | graph_4_stage_plots() |
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