Skip to content
Snippets Groups Projects
Commit aaa52d9d authored by David P. Mayer's avatar David P. Mayer Committed by GitHub
Browse files

Added GXP support to read_gpf() (#164) 

* Added GXP support to read_gpf()
Modified read_gpf() in io_bae.py to support reading of either legacy Socet Set-style GPF files or new Socet GXP-style GPF files. Function now takes a boolean, `gxp` to flag whether function should interpret input file as SSET or GXP style, defaulst to SSET style for backwards compatibility. Removed unused variables from read_gpf(). Field names are now hard-coded in the function, rather than generated dynamically. The hints about field names in the GXP-style GPFs are just complicated enough that hard-coding a list of field names into the function was the simplest solution. Datatypes for each field were already hard-coded, so hard-coding the names is stylistically consistent.

Partially address #24

* Deleted extraneous comment

* Added tests for read_gpf() and updated Socet GXP test data

* Updating test for read_gpf(), ticking minor version number

* Fixing fixtures...maybe

* Fixing fixtures...maybe

* Correct variable assignment in read_gpf(), more fixing fixtures

* Fixing test parameterization

* More test parameterization tweaks
parent 383a1b93
No related branches found
No related tags found
No related merge requests found
Show whitespace changes
Inline Side-by-side
plio/examples/SocetGXP/GXP_example_gpf.csv 0 → 100644
+ 25
− 0
View file @ aaa52d9d
point_id,use,point_type,lat_Y_North,long_X_East,ht,sig0,sig1,sig2,res0,res1,res2,eigenval0,eigenvec0_i,eigenvec0_j,eigenvec0_k,eigenval1,eigenvec1_i,eigenvec1_j,eigenvec1_k,eigenval2,eigenvec2_i,eigenvec2_j,eigenvec2_k
ESP_011969_1425_REDmos_hijitreged_1,1,0,-37.52498315102231,-168.0378101351008,2166.8567751754185,0.0,0.0,0.0,0.0,0.0,0.0,0.010015,0.991258,-0.131935,-0.000733,0.017375,0.126817,0.951241,0.281173,103723.422751,0.036399,0.278808,-0.959657
ESP_011969_1425_REDmos_hijitreged_10,1,0,-37.48836252421589,-168.12422875299504,2312.543966226925,0.0,0.0,0.0,0.0,0.0,0.0,0.009305,0.991449,-0.130497,-0.000525,0.017207,0.125904,0.955474,0.266867,102962.141334,0.034324,0.264651,-0.963733
ESP_011969_1425_REDmos_hijitreged_12,1,0,-37.43168328052415,-168.06327026184894,561.0852310104716,0.0,0.0,0.0,0.0,0.0,0.0,0.009124,0.99128,-0.131771,-0.000682,0.017542,0.126781,0.952304,0.277567,105846.550937,0.035926,0.275233,-0.960706
ESP_011969_1425_REDmos_hijitreged_13,1,0,-37.43513301191926,-168.0950838309726,846.8487925744189,0.0,0.0,0.0,0.0,0.0,0.0,0.008751,0.99136,-0.131167,-0.000616,0.01745,0.126384,0.95393,0.272111,105280.729204,0.035105,0.269838,-0.962266
ESP_011969_1425_REDmos_hijitreged_14,1,0,-37.43831722012688,-168.11377673673576,1129.5974084590293,0.0,0.0,0.0,0.0,0.0,0.0,0.008804,0.991405,-0.130827,-0.000569,0.01738,0.126158,0.954852,0.268963,104835.518938,0.034644,0.266723,-0.96315
ESP_011969_1425_REDmos_hijitreged_15,1,0,-37.43963846641856,-168.1376145220953,1650.4018031283986,0.0,0.0,0.0,0.0,0.0,0.0,0.009152,0.991457,-0.130433,-0.000504,0.017269,0.125897,0.955955,0.265143,104214.901264,0.034102,0.262941,-0.964209
ESP_011969_1425_REDmos_hijitreged_16,1,0,-37.37941962448235,-168.05314041415602,1101.7481752817018,0.0,0.0,0.0,0.0,0.0,0.0,0.009776,0.991225,-0.132182,-0.00073,0.017479,0.127051,0.9512,0.281207,107150.383517,0.036476,0.278832,-0.959647
ESP_011969_1425_REDmos_hijitreged_17,1,0,-37.38083863019242,-168.0675015475748,1181.9292023818236,0.0,0.0,0.0,0.0,0.0,0.0,0.009373,0.991264,-0.131894,-0.000703,0.017444,0.126862,0.951959,0.27871,106929.559928,0.036091,0.276365,-0.960375
ESP_011969_1425_REDmos_hijitreged_18,1,0,-37.3846095508834,-168.10289468543252,1339.499132148808,0.0,0.0,0.0,0.0,0.0,0.0,0.008879,0.991349,-0.13125,-0.000596,0.017364,0.126444,0.953815,0.272486,106414.359157,0.035196,0.270204,-0.96216
ESP_011969_1425_REDmos_hijitreged_19,1,0,-37.38667433736556,-168.12193972900008,1649.1213744038378,0.0,0.0,0.0,0.0,0.0,0.0,0.008908,0.991396,-0.130895,-0.000577,0.01729,0.126212,0.954743,0.269324,105962.787125,0.034702,0.26708,-0.963049
ESP_011969_1425_REDmos_hijitreged_2,1,0,-37.53311540295684,-168.04751417198742,2027.9858571714208,0.0,0.0,0.0,0.0,0.0,0.0,0.009882,0.991283,-0.131745,-0.000716,0.017379,0.126707,0.951862,0.279112,103737.074825,0.03609,0.27677,-0.960258
ESP_011969_1425_REDmos_hijitreged_20,1,0,-37.3877992288042,-168.14528733531682,2249.095866292016,0.0,0.0,0.0,0.0,0.0,0.0,0.009231,0.991447,-0.130512,-0.000505,0.017169,0.125955,0.955802,0.265664,105295.155262,0.03419,0.263455,-0.964066
ESP_011969_1425_REDmos_hijitreged_22,1,0,-37.32506030406861,-168.08145197394458,2133.6427872475433,0.0,0.0,0.0,0.0,0.0,0.0,0.009867,0.991262,-0.131909,-0.000681,0.017285,0.126875,0.951997,0.278574,108618.424031,0.036098,0.276227,-0.960414
ESP_011969_1425_REDmos_hijitreged_23,1,0,-37.3359911666688,-168.10133445338911,2231.769693690932,0.0,0.0,0.0,0.0,0.0,0.0,0.0094,0.991317,-0.131496,-0.00063,0.01724,0.126603,0.953115,0.27485,107858.649273,0.035541,0.272544,-0.961487
ESP_011969_1425_REDmos_hijitreged_24,1,0,-37.34201630935803,-168.12810340862498,2075.5532688013145,0.0,0.0,0.0,0.0,0.0,0.0,0.009299,0.99138,-0.131017,-0.000576,0.017217,0.126313,0.954603,0.269775,107524.900384,0.034796,0.267523,-0.962923
ESP_011969_1425_REDmos_hijitreged_25,1,0,-37.34819057995956,-168.14113429465988,2049.079113123323,0.0,0.0,0.0,0.0,0.0,0.0,0.009376,0.991414,-0.130757,-0.000546,0.017199,0.126146,0.955332,0.26726,107169.466479,0.034425,0.265034,-0.963624
ESP_011969_1425_REDmos_hijitreged_3,1,0,-37.52839666893967,-168.07960079526694,1993.7697023377862,0.0,0.0,0.0,0.0,0.0,0.0,0.009467,0.991364,-0.131138,-0.000638,0.01733,0.126311,0.953542,0.273503,103419.214501,0.035258,0.271221,-0.961871
ESP_011969_1425_REDmos_hijitreged_4,1,0,-37.53132150466094,-168.10855852614645,2020.7308455349735,0.0,0.0,0.0,0.0,0.0,0.0,0.009673,0.991433,-0.130616,-0.00055,0.017278,0.125974,0.955068,0.268284,103104.381955,0.034517,0.266055,-0.96334
ESP_011969_1425_REDmos_hijitreged_5,1,0,-37.53630700111975,-168.1200506995373,2032.7915842058703,0.0,0.0,0.0,0.0,0.0,0.0,0.010626,0.991463,-0.130384,-0.000508,0.019453,0.125817,0.955697,0.266108,102983.822547,0.03421,0.2639,-0.963943
ESP_011969_1425_REDmos_hijitreged_7,1,0,-37.47652424962241,-168.05120054627415,1095.661234358602,0.0,0.0,0.0,0.0,0.0,0.0,0.009388,0.991272,-0.131829,-0.000738,0.017494,0.126796,0.95187,0.279044,104702.232192,0.036083,0.276702,-0.960278
ESP_011969_1425_REDmos_hijitreged_8,1,0,-37.48921839508181,-168.09323595053897,2009.226110327696,0.0,0.0,0.0,0.0,0.0,0.0,0.009011,0.99138,-0.131017,-0.000606,0.017301,0.126237,0.953951,0.272107,103466.816533,0.035073,0.269838,-0.962267
ESP_011969_1425_REDmos_hijitreged_9,1,0,-37.48675126821804,-168.12128226770488,2354.6055057253534,0.0,0.0,0.0,0.0,0.0,0.0,0.009235,0.991445,-0.130527,-0.00054,0.017206,0.125915,0.955302,0.267476,102974.236379,0.034397,0.265255,-0.963564
ESP_047190_1425_REDmos_hijitreged_4,1,0,-37.3298174143407,-168.14113733984277,2007.3591129511703,0.0,0.0,0.0,0.0,0.0,0.0,0.009566,0.991406,-0.130821,-0.000528,0.017203,0.126186,0.955203,0.267701,108124.644303,0.034516,0.265467,-0.963502
ESP_047190_1425_REDmos_hijitreged_5,1,0,-37.33148587629012,-168.15425976288694,1985.726581414384,0.0,0.0,0.0,0.0,0.0,0.0,0.009763,0.991436,-0.130591,-0.000516,0.017183,0.126048,0.955894,0.265288,107981.903787,0.034151,0.263081,-0.964169
plio/examples/SocetGXP/GXP_example_gpf.gpf
+ 128
− 46
View file @ aaa52d9d
...@@ -18,115 +18,197 @@ GXP_Z_UNITS 3 ...@@ -18,115 +18,197 @@ GXP_Z_UNITS 3
GXP_Z_PRECISION 3 GXP_Z_PRECISION 3
GXP_COORD_FORMAT 3 GXP_COORD_FORMAT 3
GXP_COORD_FORMAT_PRECISIONS 4 GXP_COORD_FORMAT_PRECISIONS 4
22 24
point_id,stat,known,lat_Y_North,long_X_East,ht,sig(3),res(3), eigenpair(val, vector)(3) point_id,use,point_type,lat_Y_North,long_X_East,ht,sig(3),res(3), eigenpair(val, vector)(3)
ESP_020297_2045_REDmos_hijitreged_8bit_1 0 0 ESP_011969_1425_REDmos_hijitreged_1 1 0
24.71012840659569 -18.80031897144174 29.99985045008361 -37.52498315102231 -168.03781013510081 2166.85677517541853
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.010015 0.991258 -0.131935 -0.000733
0.017375 0.126817 0.951241 0.281173
103723.422751 0.036399 0.278808 -0.959657
ESP_020297_2045_REDmos_hijitreged_8bit_2 0 0 ESP_011969_1425_REDmos_hijitreged_10 1 0
24.70421813707974 -18.78227519773831 44.99977570050396 -37.48836252421589 -168.12422875299504 2312.54396622692502
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.009305 0.991449 -0.130497 -0.000525
0.017207 0.125904 0.955474 0.266867
102962.141334 0.034324 0.264651 -0.963733
ESP_020297_2045_REDmos_hijitreged_8bit_6 0 0 ESP_011969_1425_REDmos_hijitreged_12 1 0
24.63946455267877 -18.80461665321617 52.49973861814942 -37.43168328052415 -168.06327026184894 561.08523101047160
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.009124 0.991280 -0.131771 -0.000682
0.017542 0.126781 0.952304 0.277567
105846.550937 0.035926 0.275233 -0.960706
ESP_020297_2045_REDmos_hijitreged_8bit_7 0 0 ESP_011969_1425_REDmos_hijitreged_13 1 0
24.65291347453150 -18.77556683928612 56.24972002062714 -37.43513301191926 -168.09508383097261 846.84879257441889
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.008751 0.991360 -0.131167 -0.000616
0.017450 0.126384 0.953930 0.272111
105280.729204 0.035105 0.269838 -0.962266
ESP_020297_2045_REDmos_hijitreged_8bit_8 0 0 ESP_011969_1425_REDmos_hijitreged_14 1 0
24.64911612548813 -18.73725571127163 58.12471073909546 -37.43831722012688 -168.11377673673576 1129.59740845902934
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.008804 0.991405 -0.130827 -0.000569
0.017380 0.126158 0.954852 0.268963
104835.518938 0.034644 0.266723 -0.963150
ESP_020297_2045_REDmos_hijitreged_8bit_9 0 0 ESP_011969_1425_REDmos_hijitreged_15 1 0
24.65136761105341 -18.71732124302701 59.06220608808508 -37.43963846641856 -168.13761452209530 1650.40180312839857
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.009152 0.991457 -0.130433 -0.000504
0.017269 0.125897 0.955955 0.265143
104214.901264 0.034102 0.262941 -0.964209
ESP_020297_2045_REDmos_hijitreged_8bit_11 0 0 ESP_011969_1425_REDmos_hijitreged_16 1 0
24.56769120025294 -18.79705461409128 59.53095413767005 -37.37941962448235 -168.05314041415602 1101.74817528170183
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.009776 0.991225 -0.132182 -0.000730
0.017479 0.127051 0.951200 0.281207
107150.383517 0.036476 0.278832 -0.959647
ESP_020297_2045_REDmos_hijitreged_8bit_12 0 0 ESP_011969_1425_REDmos_hijitreged_17 1 0
24.57226969675007 -18.76507418751966 59.76532814686288 -37.38083863019242 -168.06750154757481 1181.92920238182364
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.009373 0.991264 -0.131894 -0.000703
0.017444 0.126862 0.951959 0.278710
106929.559928 0.036091 0.276365 -0.960375
ESP_020297_2045_REDmos_hijitreged_8bit_13 0 0 ESP_011969_1425_REDmos_hijitreged_18 1 0
24.58561888671209 -18.73491604381337 59.88251509185466 -37.38460955088340 -168.10289468543252 1339.49913214880803
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.008879 0.991349 -0.131250 -0.000596
0.017364 0.126444 0.953815 0.272486
106414.359157 0.035196 0.270204 -0.962160
ESP_020297_2045_REDmos_hijitreged_8bit_14 0 0 ESP_011969_1425_REDmos_hijitreged_19 1 0
24.58274568606691 -18.70979308436567 59.94110856574753 -37.38667433736556 -168.12193972900008 1649.12137440383776
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.008908 0.991396 -0.130895 -0.000577
0.017290 0.126212 0.954743 0.269324
105962.787125 0.034702 0.267080 -0.963049
ESP_020297_2045_REDmos_hijitreged_8bit_16 0 0 ESP_011969_1425_REDmos_hijitreged_2 1 0
24.49996538364011 -18.77588176749484 59.97040568709735 -37.53311540295684 -168.04751417198742 2027.98585717142078
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.009882 0.991283 -0.131745 -0.000716
0.017379 0.126707 0.951862 0.279112
103737.074825 0.036090 0.276770 -0.960258
ESP_020297_2045_REDmos_hijitreged_8bit_17 0 0 ESP_011969_1425_REDmos_hijitreged_20 1 0
24.50035236811686 -18.76265916231216 59.98505424404698 -37.38779922880420 -168.14528733531682 2249.09586629201613
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.009231 0.991447 -0.130512 -0.000505
0.017169 0.125955 0.955802 0.265664
105295.155262 0.034190 0.263455 -0.964066
ESP_020297_2045_REDmos_hijitreged_8bit_18 0 0 ESP_011969_1425_REDmos_hijitreged_22 1 0
24.50022968395651 -18.72672472647865 59.99237851949499 -37.32506030406861 -168.08145197394458 2133.64278724754331
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.009867 0.991262 -0.131909 -0.000681
0.017285 0.126875 0.951997 0.278574
108618.424031 0.036098 0.276227 -0.960414
ESP_020297_2045_REDmos_hijitreged_8bit_19 0 0 ESP_011969_1425_REDmos_hijitreged_23 1 0
24.50913063816282 -18.69314202812970 59.99604062043176 -37.33599116666880 -168.10133445338911 2231.76969369093194
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.009400 0.991317 -0.131496 -0.000630
0.017240 0.126603 0.953115 0.274850
107858.649273 0.035541 0.272544 -0.961487
ESP_020297_2045_REDmos_hijitreged_8bit_21 0 0 ESP_011969_1425_REDmos_hijitreged_24 1 0
24.42477602090075 -18.77789312511191 59.99787204831861 -37.34201630935803 -168.12810340862498 2075.55326880131452
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.009299 0.991380 -0.131017 -0.000576
0.017217 0.126313 0.954603 0.269775
107524.900384 0.034796 0.267523 -0.962923
ESP_020297_2045_REDmos_hijitreged_8bit_22 0 0 ESP_011969_1425_REDmos_hijitreged_25 1 0
24.42459140840722 -18.75255600552742 59.99878776389185 -37.34819057995956 -168.14113429465988 2049.07911312332317
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.009376 0.991414 -0.130757 -0.000546
0.017199 0.126146 0.955332 0.267260
107169.466479 0.034425 0.265034 -0.963624
ESP_020297_2045_REDmos_hijitreged_8bit_23 0 0 ESP_011969_1425_REDmos_hijitreged_3 1 0
24.44145496656833 -18.72170251844067 59.99924554787116 -37.52839666893967 -168.07960079526694 1993.76970233778616
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.009467 0.991364 -0.131138 -0.000638
0.017330 0.126311 0.953542 0.273503
103419.214501 0.035258 0.271221 -0.961871
ESP_020297_2045_REDmos_hijitreged_8bit_24 0 0 ESP_011969_1425_REDmos_hijitreged_4 1 0
24.43565348607332 -18.70706758301213 59.99947445057103 -37.53132150466094 -168.10855852614645 2020.73084553497347
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.009673 0.991433 -0.130616 -0.000550
0.017278 0.125974 0.955068 0.268284
103104.381955 0.034517 0.266055 -0.963340
ESP_028855_2045_REDmos_hijitreged_8bit_1 0 0 ESP_011969_1425_REDmos_hijitreged_5 1 0
24.69907377638699 -18.75251712669162 59.99958773031716 -37.53630700111975 -168.12005069953730 2032.79158420587032
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.010626 0.991463 -0.130384 -0.000508
0.019453 0.125817 0.955697 0.266108
102983.822547 0.034210 0.263900 -0.963943
ESP_028855_2045_REDmos_hijitreged_8bit_2 0 0 ESP_011969_1425_REDmos_hijitreged_7 1 0
24.69890626969526 -18.72546009282478 59.99964437624382 -37.47652424962241 -168.05120054627415 1095.66123435860209
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.009388 0.991272 -0.131829 -0.000738
0.017494 0.126796 0.951870 0.279044
104702.232192 0.036083 0.276702 -0.960278
ESP_028855_2045_REDmos_hijitreged_8bit_3 0 0 ESP_011969_1425_REDmos_hijitreged_8 1 0
24.70412810503522 -18.69517420734698 59.99967268034787 -37.48921839508181 -168.09323595053897 2009.22611032769601
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.009011 0.991380 -0.131017 -0.000606
0.017301 0.126237 0.953951 0.272107
103466.816533 0.035073 0.269838 -0.962267
ESP_028855_2045_REDmos_hijitreged_8bit_4 0 0 ESP_011969_1425_REDmos_hijitreged_9 1 0
24.62839745355714 -18.78438969632831 59.99968715603449 -37.48675126821804 -168.12128226770488 2354.60550572535340
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
0.009235 0.991445 -0.130527 -0.000540
0.017206 0.125915 0.955302 0.267476
102974.236379 0.034397 0.265255 -0.963564
ESP_047190_1425_REDmos_hijitreged_4 1 0
-37.32981741434070 -168.14113733984277 2007.35911295117035
0.000000 0.000000 0.000000
0.000000 0.000000 0.000000
0.009566 0.991406 -0.130821 -0.000528
0.017203 0.126186 0.955203 0.267701
108124.644303 0.034516 0.265467 -0.963502
ESP_047190_1425_REDmos_hijitreged_5 1 0
-37.33148587629012 -168.15425976288694 1985.72658141438410
0.000000 0.000000 0.000000
0.000000 0.000000 0.000000
0.009763 0.991436 -0.130591 -0.000516
0.017183 0.126048 0.955894 0.265288
107981.903787 0.034151 0.263081 -0.964169
plio/examples/SocetGXP/GXP_example_wEigenValues.gpf deleted 100644 → 0
+ 0
− 391
View file @ 383a1b93
GROUND POINT FILE
COORD_SYSTEM 1
ELLIPSOID WGS_84
REFERENCE_DATUM_CODE WGS_84
A_EARTH 6.37813700000000e+06
E_EARTH 8.18191908426520e-02
ELLIPSOID_CENTER 0.00000000000000e+00 0.00000000000000e+00 0.00000000000000e+00
DATUM_ROTATION 0.00000000000000e+00 0.00000000000000e+00 0.00000000000000e+00
DATUM_SCALE 1.00000000000000e+00
DATUM_USE_APPROXIMATE 0
VERTICAL_REFERENCE 0
GEOID EGM96
GXP_GEO_DELIM 0
XY_UNITS 2
Z_UNITS 1
GXP_XY_UNITS 8
GXP_Z_UNITS 3
GXP_Z_PRECISION 3
GXP_COORD_FORMAT 3
GXP_COORD_FORMAT_PRECISIONS 4
48
point_id,use,point_type,lat_Y_North,long_X_East,ht,sig(3),res(3), eigenpair(val, vector)(3)
TP00000 1 0
41.93625458705527 12.42204566561736 144.49352205921176
0.000000 0.000000 0.000000
0.000000 0.000000 0.000000
3.158352 -0.256603 0.966155 -0.026455
4.013993 -0.960305 -0.251760 0.120126
53.055575 -0.109400 -0.056229 -0.992406
TP00001 1 0
41.93614977329828 12.43532843201709 136.59798165897831
0.000000 0.000000 0.000000
0.000000 0.000000 0.000000
3.147683 0.254807 -0.966681 0.024523
3.414512 0.966988 0.254800 -0.003446
27.373052 -0.002918 0.024591 0.999693
TP00002 1 0
41.93600868028481 12.44856883338915 131.02216550831190
0.000000 0.000000 0.000000
0.000000 0.000000 0.000000
3.148871 0.255942 -0.966423 0.022802
3.415543 -0.966688 -0.255941 0.003003
27.374026 0.002934 -0.022811 -0.999735
TP00003 1 0
41.93582742159170 12.46183264196683 42.53414011227344
0.000000 0.000000 0.000000
0.000000 0.000000 0.000000
3.150899 0.256993 -0.966183 0.021083
3.417682 -0.966409 -0.256998 0.002497
27.382204 0.003005 -0.021016 -0.999775
TP00004 1 0
41.93567874114391 12.47502042348289 33.55602926526246
0.000000 0.000000 0.000000
0.000000 0.000000 0.000000
3.152247 0.258079 -0.965930 0.019370
3.418923 -0.966119 -0.258088 0.002047
27.385266 0.003022 -0.019242 -0.999810
TP00005 1 0
41.92472178814459 12.42183693476669 130.31661778917029
0.000000 0.000000 0.000000
0.000000 0.000000 0.000000
3.157670 -0.256362 0.966231 -0.026001
4.004344 -0.959496 -0.251139 0.127660
60.553692 -0.116819 -0.057675 -0.991477
TP00006 1 0
41.92470541057641 12.43518102652992 131.01868421444289
0.000000 0.000000 0.000000
0.000000 0.000000 0.000000
3.158204 -0.256749 0.966175 -0.024217
4.004632 -0.959406 -0.251765 0.127104
60.552628 -0.116708 -0.055868 -0.991594
TP00007 1 0
41.92453014273798 12.44846601998071 127.84719080989689
0.000000 0.000000 0.000000
0.000000 0.000000 0.000000
3.158866 -0.257113 0.966121 -0.022436
4.005790 -0.959289 -0.252350 0.126823
60.785186 -0.116865 -0.054131 -0.991672
TP00008 1 0
41.92433137805049 12.46166940420497 30.74736690526817
0.000000 0.000000 0.000000
0.000000 0.000000 0.000000
3.160534 -0.257001 0.966191 -0.020645
4.012666 -0.959247 -0.252441 0.126961
61.043819 -0.117457 -0.052433 -0.991693
TP00009 1 0
41.92427634347892 12.47490998351840 85.91462985892092
0.000000 0.000000 0.000000
0.000000 0.000000 0.000000
3.160841 -0.257664 0.966050 -0.018893
4.012456 -0.959042 -0.253316 0.126765
61.508008 -0.117675 -0.050782 -0.991753
TP00010 1 0
41.91325814925960 12.42162422410620 111.08526281031884
0.000000 0.000000 0.000000
0.000000 0.000000 0.000000
3.157195 -0.256219 0.966281 -0.025551
3.995906 -0.958592 -0.250603 0.135278
69.732646 -0.124313 -0.059154 -0.990478
TP00011 1 0
41.91306777375267 12.43497255749544 71.07172647683969
0.000000 0.000000 0.000000
0.000000 0.000000 0.000000
3.158113 -0.256409 0.966276 -0.023759
3.998100 -0.958525 -0.251034 0.134951
69.859213 -0.124436 -0.057376 -0.990567
TP00012 1 0
41.91305595851252 12.44827055547741 77.21713805424150
0.000000 0.000000 0.000000
0.000000 0.000000 0.000000
3.158695 -0.256831 0.966206 -0.021988
3.998856 -0.958407 -0.251696 0.134556
70.038992 -0.124474 -0.055631 -0.990662
TP00013 1 0
41.91288999074737 12.46154211897335 55.11252316723569
0.000000 0.000000 0.000000
0.000000 0.000000 0.000000
3.159644 -0.257111 0.966170 -0.020212
4.001770 -0.958286 -0.252200 0.134472
70.458269 -0.124825 -0.053944 -0.990711
TP00014 1 0
41.91279779982322 12.47483596263755 58.62762288176800
0.000000 0.000000 0.000000
0.000000 0.000000 0.000000
3.160453 -0.257526 0.966095 -0.018442
4.004223 -0.958125 -0.252835 0.134427
70.996692 -0.125207 -0.052289 -0.990752
TP00015 1 0
41.90175093485620 12.42148225018631 114.43877243398343
0.000000 0.000000 0.000000
0.000000 0.000000 0.000000
3.156653 -0.256344 0.966260 -0.025085
3.987418 -0.957550 -0.250322 0.142957
81.202843 -0.131854 -0.060667 -0.989411
TP00016 1 0
41.90160211680926 12.43481091926831 53.85217634083486
0.000000 0.000000 0.000000
0.000000 0.000000 0.000000
3.157773 -0.256432 0.966281 -0.023306
3.990594 -0.957506 -0.250663 0.142652
81.319804 -0.132000 -0.058896 -0.989498
TP00017 1 0
41.90153076575557 12.44803878473226 93.05768235343429
0.000000 0.000000 0.000000
0.000000 0.000000 0.000000
3.158029 -0.257031 0.966163 -0.021543
3.989536 -0.957343 -0.251513 0.142254
81.708297 -0.132022 -0.057188 -0.989596
TP00018 1 0
41.90136344034326 12.46138591063561 48.23743195698694
0.000000 0.000000 0.000000
0.000000 0.000000 0.000000
3.147870 0.253732 -0.967075 0.019622
3.416066 -0.967264 -0.253583 0.009812
26.906927 -0.004513 -0.021469 -0.999759
TP00019 1 0
41.90131539062921 12.47457601739442 54.50425635362241
0.000000 0.000000 0.000000
0.000000 0.000000 0.000000
3.159981 -0.257629 0.966076 -0.018012
3.995801 -0.957082 -0.252581 0.142117
82.848770 -0.132746 -0.053852 -0.989686
TP00020 1 0
41.89031609646010 12.42134431956200 116.37800224968522
0.000000 0.000000 0.000000
0.000000 0.000000 0.000000
3.156279 0.256633 -0.966196 0.024604
3.980579 -0.956404 -0.250196 0.150640
95.413649 0.139392 0.062190 0.988282
TP00021 1 0
41.89016555985073 12.43471584940938 104.52095922234378
0.000000 0.000000 0.000000
0.000000 0.000000 0.000000
3.156932 -0.256977 0.966148 -0.022822
3.981176 -0.956302 -0.250809 0.150268
95.743932 -0.139457 -0.060440 -0.988382
TP00022 1 0
41.89011177641125 12.44790360230068 105.97810466684170
0.000000 0.000000 0.000000
0.000000 0.000000 0.000000
3.157553 -0.257379 0.966081 -0.021069
3.981964 -0.956180 -0.251471 0.149940
96.164482 -0.139556 -0.058737 -0.988471
TP00023 1 0
41.89002023627615 12.46121448638316 132.53702697409491
0.000000 0.000000 0.000000
0.000000 0.000000 0.000000
3.158039 -0.257915 0.965975 -0.019296
3.982295 -0.956006 -0.252263 0.149721
96.902617 -0.139759 -0.057063 -0.988540
TP00024 1 0
41.93849666397325 12.47967949366008 23.59177135678953
0.000000 0.000000 0.000000
0.000000 0.000000 0.000000
3.163327 0.257995 -0.965959 0.019010
3.434059 -0.966146 -0.257967 0.003955
27.174401 0.001084 -0.019387 -0.999811
TP00025 1 0
41.92414607649729 12.43602541241768 106.83881396612762
0.000000 0.000000 0.000000
0.000000 0.000000 0.000000
3.157980 0.252786 -0.967228 0.023847
3.431188 0.967522 0.252710 -0.006203
27.140371 -0.000027 0.024641 0.999696
TP00026 1 0
41.92452497153108 12.45035814650257 155.01454393707391
0.000000 0.000000 0.000000
0.000000 0.000000 0.000000
3.159952 0.254172 -0.966907 0.022082
3.434409 -0.967152 -0.254193 0.001914
27.485523 0.003762 -0.021843 -0.999754
TP00027 1 0
41.92560548436217 12.46512362949083 45.70490813112367
0.000000 0.000000 0.000000
0.000000 0.000000 0.000000
3.163294 0.256203 -0.966411 0.020223
3.438520 -0.966613 -0.256240 0.000796
27.538393 0.004412 -0.019751 -0.999795
TP00028 1 0
41.92611767780845 12.47949275696272 72.90424561314438
0.000000 0.000000 0.000000
0.000000 0.000000 0.000000
3.162023 0.257063 -0.966216 0.018572
3.434102 -0.966395 -0.257023 0.004535
27.158674 0.000392 -0.019114 -0.999817
TP00029 1 0
41.91153545848729 12.42145251855246 95.25681018749083
0.000000 0.000000 0.000000
0.000000 0.000000 0.000000
3.156422 0.250603 -0.967763 0.025175
3.431143 -0.968090 -0.250498 0.007296
27.126976 0.000754 0.026200 0.999656
TP00030 1 0
41.91214902852425 12.43595779250570 82.08069636271838
0.000000 0.000000 0.000000
0.000000 0.000000 0.000000
3.146089 0.252461 -0.967324 0.023402
3.413987 -0.967604 -0.252330 0.008438
27.048286 0.002257 0.024774 0.999691
TP00031 1 0
41.91409526689853 12.47960070863084 64.46063944335870
0.000000 0.000000 0.000000
0.000000 0.000000 0.000000
3.161445 0.256314 -0.966424 0.018109
3.434637 0.966594 0.256263 -0.005092
27.148077 0.000281 0.018809 0.999823
TP00032 1 0
41.89942123689374 12.42152904157943 89.64790394712833
0.000000 0.000000 0.000000
0.000000 0.000000 0.000000
3.143948 0.248430 -0.968332 0.024836
3.414309 -0.968639 -0.248220 0.011233
26.893338 0.004713 0.026848 0.999628
TP00033 1 0
41.90158427105253 12.46506321094199 12.60274956770012
0.000000 0.000000 0.000000
0.000000 0.000000 0.000000
3.148570 0.254063 -0.966998 0.019154
3.416830 -0.967177 -0.253920 0.009605
26.914150 -0.004424 -0.020966 -0.999770
TP00034 1 0
41.88791568134694 12.43607974088060 91.67279454306517
0.000000 0.000000 0.000000
0.000000 0.000000 0.000000
3.144290 0.250040 -0.967977 0.022349
3.413236 -0.968206 -0.249786 0.013592
26.710001 0.007574 0.025037 0.999658
TP00035 1 0
41.88921685292129 12.46508373642658 66.89639385683545
0.000000 0.000000 0.000000
0.000000 0.000000 0.000000
3.159190 0.253222 -0.967222 0.018964
3.435399 -0.967407 -0.253137 0.006787
27.124714 -0.001764 -0.020064 -0.999797
TP00036 1 0
41.93698613824719 12.45173434033437 97.54080927114951
0.000000 0.000000 0.000000
0.000000 0.000000 0.000000
3.149566 0.256280 -0.966342 0.022437
3.416264 -0.966597 -0.256286 0.002659
27.390795 0.003181 -0.022369 -0.999745
TP00037 1 0
41.92544134714993 12.45186958425859 139.43876296079247
0.000000 0.000000 0.000000
0.000000 0.000000 0.000000
3.158992 -0.257276 0.966087 -0.022022
4.006400 -0.959317 -0.252598 0.126115
60.186287 -0.116275 -0.053572 -0.991771
TP00038 1 0
41.92535289565016 12.46652556357443 33.91479379321939
0.000000 0.000000 0.000000
0.000000 0.000000 0.000000
3.160867 -0.257165 0.966160 -0.020039
4.014317 -0.959271 -0.252713 0.126233
60.417160 -0.116897 -0.051686 -0.991798
TP00039 1 0
41.91367601542850 12.45175020504941 56.02503836479827
0.000000 0.000000 0.000000
0.000000 0.000000 0.000000
3.159116 -0.256823 0.966218 -0.021547
4.000871 -0.958450 -0.251768 0.134112
69.514721 -0.124156 -0.055095 -0.990732
TP00040 1 0
41.91379086289994 12.46648798525013 51.34057810933603
0.000000 0.000000 0.000000
0.000000 0.000000 0.000000
3.160029 -0.257234 0.966150 -0.019591
4.003601 -0.958315 -0.252434 0.133827
69.784539 -0.124352 -0.053199 -0.990811
TP00041 1 0
41.90200032579178 12.45171854407266 73.86528192763012
0.000000 0.000000 0.000000
0.000000 0.000000 0.000000
3.158427 -0.257032 0.966173 -0.021074
3.991259 -0.957375 -0.251596 0.141892
81.237274 -0.131790 -0.056647 -0.989658
TP00042 1 0
41.89035291253354 12.45180748059767 66.02497557535104
0.000000 0.000000 0.000000
0.000000 0.000000 0.000000
3.146070 0.251787 -0.967568 0.020395
3.414816 -0.967758 -0.251572 0.012508
26.749234 -0.006972 -0.022887 -0.999714
TP00043 0 0
41.88974071964977 12.47442595694094 0.52942276000977
0.000000 0.000000 0.000000
0.000000 0.000000 0.000000
TP00044 0 0
41.93759665146908 12.46505118856630 79.52831268310547
0.000000 0.000000 0.000000
0.000000 0.000000 0.000000
TP00045 0 0
41.90187433391595 12.47953785467674 79.52831268310547
0.000000 0.000000 0.000000
0.000000 0.000000 0.000000
TP00046 0 0
41.88740100566574 12.42157468619255 79.52831268310547
0.000000 0.000000 0.000000
0.000000 0.000000 0.000000
TP00047 0 0
41.88978202716761 12.47952708536319 79.52831268310547
0.000000 0.000000 0.000000
0.000000 0.000000 0.000000
plio/io/io_bae.py
+ 46
− 37
View file @ aaa52d9d
...@@ -3,7 +3,7 @@ import os ...@@ -3,7 +3,7 @@ import os
import json import json
from collections import defaultdict from collections import defaultdict
from functools import singledispatch from functools import singledispatch
from linecache import getline
import numpy as np import numpy as np
import pandas as pd import pandas as pd
...@@ -193,61 +193,70 @@ def save_ipf(df, output_path): ...@@ -193,61 +193,70 @@ def save_ipf(df, output_path):
outIPF.close() outIPF.close()
return return
def read_gpf(input_data): def read_gpf(input_data,gxp=False):
""" """
Read a socet gpf file into a pandas data frame Read a socet gpf file into a pandas data frame
Parameters Parameters
---------- ----------
input_file : str input_data : str
path to the input data file path to the input data file
gxp : bool
Flag to notify function if input_data follows Socet GXP format.
Defaults is False (assume Socet Set format).
Returns Returns
------- -------
df : pd.DataFrame df : pd.DataFrame
containing the gpf data with appropriate column names and indices containing the gpf data with appropriate column names and indices
""" """
# Check that the number of rows is matching the expected number # line containing point count differs between Socet Set and Socet GXP gpf files
with open(input_data, 'r') as f: if not gxp:
for i, l in enumerate(f): l = 2
if i == 1:
cnt = int(l)
elif i == 2:
col = l
break
default_columns = np.genfromtxt(input_data, skip_header=2, dtype='unicode',
max_rows = 1, delimiter = ',')
columns = []
for column in default_columns:
if '(' in column and ')' in column:
column_name ,suffix = column.split('(')
num = int(suffix.split(')')[0])
for column_num in range(int(num)):
new_column = '{}{}'.format(column_name, column_num)
columns.append(new_column);
else: else:
columns.append(column) l = 21
# Mixed types requires read as unicode - let pandas soft convert cnt = getline(input_data, l)
d = np.genfromtxt(input_data, skip_header=3, dtype='unicode') cnt = int(cnt)
d = d.reshape(-1, 12)
df = pd.DataFrame(d, columns=columns)
# List of data types for columns in Socet set GPF file # Lists of column names and their data types
if not gxp:
columns = ['point_id','stat','known','lat_Y_North','long_X_East','ht','sig0','sig1','sig2','res0','res1','res2']
col_dtype = ['str','int32','int32','float64','float64','float64','float64','float64','float64','float64','float64','float64'] col_dtype = ['str','int32','int32','float64','float64','float64','float64','float64','float64','float64','float64','float64']
else:
columns = ['point_id','use','point_type','lat_Y_North','long_X_East','ht','sig0','sig1','sig2','res0','res1','res2',
'eigenval0','eigenvec0_i','eigenvec0_j', 'eigenvec0_k',
'eigenval1','eigenvec1_i','eigenvec1_j', 'eigenvec1_k',
'eigenval2','eigenvec2_i','eigenvec2_j', 'eigenvec2_k']
col_dtype = ['str','int32','int32','float64','float64','float64','float64','float64','float64','float64','float64','float64',
'float64','float64','float64','float64',
'float64','float64','float64','float64',
'float64','float64','float64','float64']
# Build dict of column names and their data types # Build dict of column names and their data types
dtype_dict = dict(zip(columns, col_dtype)) dtype_dict = dict(zip(columns, col_dtype))
# Hard conversion of data types to ensure 'point_id' is treated as string and 'stat' and 'known' flags treated as int if not gxp:
# Mixed types requires read as unicode - let pandas soft convert
d = np.genfromtxt(input_data, skip_header=(l+1), dtype='unicode')
d = d.reshape(-1, len(columns))
else:
# Read GXP-style GPF a block at a time
lmax=( (l+1) + ((cnt-1)*8) + 2 )
for x in range(l+1,lmax,8):
a = np.genfromtxt(input_data, skip_header=(x), max_rows=4, dtype='unicode')
b = np.genfromtxt(input_data, skip_header=(x+4), max_rows=3, dtype='unicode')
if x == (l+1):
d = np.hstack([np.hstack(a),np.hstack(b)])
else:
d = np.vstack(( d, np.hstack([np.hstack(a),np.hstack(b)])) )
df = pd.DataFrame(d, columns=columns)
# Hard conversion of data types to ensure 'point_id' is treated as string and 'stat' and 'known' (GXP: 'use', 'point_type')
# flags treated as int
df = df.astype(dtype_dict) df = df.astype(dtype_dict)
# Validate the read data with the header point count # Validate the read data with the header point count
......
plio/io/tests/test_io_bae.py
+ 50
− 13
View file @ aaa52d9d
'''import json import json
import os import os
import numpy as np import numpy as np
...@@ -14,11 +14,15 @@ import pytest ...@@ -14,11 +14,15 @@ import pytest
def insight_gpf(): def insight_gpf():
return get_path('InSightE08_XW.gpf') return get_path('InSightE08_XW.gpf')
@pytest.fixture
def gxp_gpf():
return get_path('GXP_example_gpf.gpf')
@pytest.fixture @pytest.fixture
def example_str_id_gpf(): def example_str_id_gpf():
return get_path('InSightE08_string_id.gpf') return get_path('InSightE08_string_id.gpf')
@pytest.fixture() @pytest.fixture
def insight_expected_gpf(): def insight_expected_gpf():
dtype_dict = {'point_id': 'str', dtype_dict = {'point_id': 'str',
'stat': 'int32', 'stat': 'int32',
...@@ -35,6 +39,34 @@ def insight_expected_gpf(): ...@@ -35,6 +39,34 @@ def insight_expected_gpf():
return pd.read_csv(get_path('InSightE08_XW.csv'), dtype=dtype_dict) return pd.read_csv(get_path('InSightE08_XW.csv'), dtype=dtype_dict)
@pytest.fixture @pytest.fixture
def gxp_expected_gpf():
dtype_dict = {'point_id': 'str',
'use': 'int32',
'point_type': 'int32',
'lat_Y_North': 'float64',
'long_X_East': 'float64',
'ht': 'float64',
'sig0': 'float64',
'sig1': 'float64',
'sig2': 'float64',
'res0': 'float64',
'res1': 'float64',
'res2': 'float64',
'eigenval0': 'float64',
'eigenvec0_i': 'float64',
'eigenvec0_j': 'float64',
'eigenvec0_k': 'float64',
'eigenval1': 'float64',
'eigenvec1_i': 'float64',
'eigenvec1_j': 'float64',
'eigenvec1_k': 'float64',
'eigenval2': 'float64',
'eigenvec2_i': 'float64',
'eigenvec2_j': 'float64',
'eigenvec2_k': 'float64'}
return pd.read_csv(get_path('GXP_example_gpf.csv'), dtype=dtype_dict)
'''@pytest.fixture
def insight_ipf(): def insight_ipf():
return get_path('P20_008845_1894_XN_09N203W.ipf') return get_path('P20_008845_1894_XN_09N203W.ipf')
...@@ -62,13 +94,18 @@ def insight_expected_ipf(): ...@@ -62,13 +94,18 @@ def insight_expected_ipf():
def test_read_ipf(ipf, expected): def test_read_ipf(ipf, expected):
df = read_ipf(ipf) df = read_ipf(ipf)
assert_frame_equal(df, expected) assert_frame_equal(df, expected)
'''
# @pytest.mark.parametrize('gpf, expected', [ (get_path('InSightE08_XW.gpf'),insight_expected_gpf() ) ] )
def test_read_gpf(insight_gpf, insight_expected_gpf):
df = read_gpf(insight_gpf)
assert_frame_equal(df, insight_expected_gpf)
@pytest.mark.parametrize('gpf, expected', [(insight_gpf(),insight_expected_gpf())]) # @pytest.mark.parametrize('gpf, expected', [ (get_path('GXP_example_gpf.gpf'),gxp_expected_gpf() ) ] )
def test_read_gpf(gpf, expected): def test_read_gxp_gpf(gxp_gpf, gxp_expected_gpf):
df = read_gpf(gpf) df = read_gpf(gxp_gpf,gxp=True)
assert_frame_equal(df, expected) assert_frame_equal(df, gxp_expected_gpf)
@pytest.mark.parametrize('ipf, file', [(insight_ipf(), 'plio/io/tests/temp')]) '''@pytest.mark.parametrize('ipf, file', [(insight_ipf(), 'plio/io/tests/temp')])
def test_write_ipf(ipf, file): def test_write_ipf(ipf, file):
df = read_ipf(ipf) df = read_ipf(ipf)
save_ipf(df, file) save_ipf(df, file)
...@@ -163,8 +200,8 @@ def test_write_str_id_gpf(gpf, file): ...@@ -163,8 +200,8 @@ def test_write_str_id_gpf(gpf, file):
# Test that every 5th line (the lines containing the point ID and integer flags) matches # Test that every 5th line (the lines containing the point ID and integer flags) matches
for i in range(3,len(fs),5): for i in range(3,len(fs),5):
assert fs[i] == fl[i] assert fs[i] == fl[i]
'''
@pytest.mark.parametrize('gpf', [(example_str_id_gpf())]) @pytest.mark.parametrize('gpf', [get_path('InSightE08_string_id.gpf')])
def test_gpf_dtypes(gpf): def test_gpf_dtypes(gpf):
""" """
This test makes sure that a GPF whose point IDs only contain numbers This test makes sure that a GPF whose point IDs only contain numbers
...@@ -182,7 +219,7 @@ def test_gpf_dtypes(gpf): ...@@ -182,7 +219,7 @@ def test_gpf_dtypes(gpf):
# Check that the type of each column matches the truth list # Check that the type of each column matches the truth list
assert truth_dtypes == test_dtypes assert truth_dtypes == test_dtypes
@pytest.mark.parametrize('ipf', [(example_str_id_ipf())]) '''@pytest.mark.parametrize('ipf', [(example_str_id_ipf())])
def test_ipf_dtypes(ipf): def test_ipf_dtypes(ipf):
""" """
This test makes sure that a IPF whose point IDs only contain numbers This test makes sure that a IPF whose point IDs only contain numbers
......
setup.py
+ 1
− 1
View file @ aaa52d9d
...@@ -8,7 +8,7 @@ with open('README.md', 'r') as f: ...@@ -8,7 +8,7 @@ with open('README.md', 'r') as f:
def setup_package(): def setup_package():
setup( setup(
name = "plio", name = "plio",
version = '1.3.0', version = '1.4.0',
author = "USGS Astrogeology", author = "USGS Astrogeology",
author_email = "jlaura@usgs.gov", author_email = "jlaura@usgs.gov",
description = ("I/O API to support planetary data formats."), description = ("I/O API to support planetary data formats."),
......
0% or .
You are about to add 0 people to the discussion. Proceed with caution.
Please to comment