remove bundled tests
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"""Test suite for the gdptools package."""
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TM_WORLD_BORDERS-0.1.ZIP
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Provided by Bjorn Sandvik, thematicmapping.org
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Use this dataset with care, as several of the borders are disputed.
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The original shapefile (world_borders.zip, 3.2 MB) was downloaded from the Mapping Hacks website:
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http://www.mappinghacks.com/data/
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The dataset was derived by Schuyler Erle from public domain sources.
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Sean Gilles did some clean up and made some enhancements.
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COLUMN TYPE DESCRIPTION
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Shape Polygon Country/area border as polygon(s)
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FIPS String(2) FIPS 10-4 Country Code
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ISO2 String(2) ISO 3166-1 Alpha-2 Country Code
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ISO3 String(3) ISO 3166-1 Alpha-3 Country Code
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UN Short Integer(3) ISO 3166-1 Numeric-3 Country Code
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NAME String(50) Name of country/area
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AREA Long Integer(7) Land area, FAO Statistics (2002)
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POP2005 Double(10,0) Population, World Polulation Prospects (2005)
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REGION Short Integer(3) Macro geographical (continental region), UN Statistics
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SUBREGION Short Integer(3) Geogrpahical sub-region, UN Statistics
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LON FLOAT (7,3) Longitude
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LAT FLOAT (6,3) Latitude
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CHANGELOG VERSION 0.3 - 30 July 2008
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- Corrected spelling mistake (United Arab Emirates)
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- Corrected population number for Japan
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- Adjusted long/lat values for India, Italy and United Kingdom
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CHANGELOG VERSION 0.2 - 1 April 2008
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- Made new ZIP archieves. No change in dataset.
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CHANGELOG VERSION 0.1 - 13 March 2008
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- Polygons representing each country were merged into one feature
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- Åland Islands was extracted from Finland
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- Hong Kong was extracted from China
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- Holy See (Vatican City) was added
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- Gaza Strip and West Bank was merged into "Occupied Palestinean Territory"
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- Saint-Barthelemy was extracted from Netherlands Antilles
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- Saint-Martin (Frensh part) was extracted from Guadeloupe
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- Svalbard and Jan Mayen was merged into "Svalbard and Jan Mayen Islands"
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- Timor-Leste was extracted from Indonesia
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- Juan De Nova Island was merged with "French Southern & Antarctic Land"
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- Baker Island, Howland Island, Jarvis Island, Johnston Atoll, Midway Islands
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and Wake Island was merged into "United States Minor Outlying Islands"
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- Glorioso Islands, Parcel Islands, Spartly Islands was removed
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(almost uninhabited and missing ISO-3611-1 code)
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- Added ISO-3166-1 codes (alpha-2, alpha-3, numeric-3). Source:
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https://www.cia.gov/library/publications/the-world-factbook/appendix/appendix-d.html
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http://unstats.un.org/unsd/methods/m49/m49alpha.htm
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http://www.fysh.org/~katie/development/geography.txt
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- AREA column has been replaced with data from UNdata:
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Land area, 1000 hectares, 2002, FAO Statistics
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- POPULATION column (POP2005) has been replaced with data from UNdata:
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Population, 2005, Medium variant, World Population Prospects: The 2006 Revision
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- Added region and sub-region codes from UN Statistics Division. Source:
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http://unstats.un.org/unsd/methods/m49/m49regin.htm
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- Added LAT, LONG values for each country
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GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]]
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hru_id_nat,i,j,wght
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1217,9,18,0.022744122070211464
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1217,9,17,0.024620824183491406
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1217,9,16,0.014939612320755339
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1217,8,16,0.003963238914406158
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1217,9,15,0.002299557241614022
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1217,8,15,0.015833906533294924
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1217,9,14,0.0008012859141177159
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1217,8,14,0.020944966126137134
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1217,8,13,0.013959028687718112
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1217,7,13,0.00015313520445743914
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1217,9,12,0.004017683927152676
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1217,9,11,0.009485699613290413
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1217,9,10,0.01241746668309033
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1217,8,10,0.006932316796670766
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1217,9,9,0.015258530319191773
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1217,8,9,0.012491177358300182
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1217,9,8,0.012464609871633218
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1217,8,8,0.017405909496496882
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1217,9,7,0.0016143948184593638
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1217,8,12,0.014309536699131358
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1217,8,11,0.00241496247511827
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1217,8,7,0.022530153430548455
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1217,7,7,0.00010532443251238961
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1217,9,6,7.300196486826311e-05
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1217,8,6,0.020445960818613503
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1217,7,6,0.006237653989117274
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1217,9,5,0.0007178858346077458
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1217,8,5,0.02121697047271652
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1217,7,5,0.021585618044517023
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1217,8,4,0.002083913565295211
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1217,6,5,0.0015820951653392065
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1217,5,5,0.004467308316028747
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1217,6,4,0.023488776187106472
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1217,5,3,0.012377274024593321
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1217,4,3,0.024891334384705012
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1217,5,2,0.0010750798258428009
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1217,7,4,0.01884313751383016
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1217,7,3,0.00023293155304667258
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1217,6,3,0.003886357258806238
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1217,4,2,0.023497376331002358
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1217,4,1,0.01170413946463823
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1217,2,2,0.0005780913789913731
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1217,3,1,0.02414444668831482
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1217,2,1,0.00963138994245831
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1217,4,18,0.019072332167324093
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1217,3,18,0.008361629964153825
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1217,2,18,5.7386768346766896e-05
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1217,4,17,0.007762583494824791
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1217,3,17,0.023422548582144966
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1217,2,17,0.01802680887131437
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1217,4,16,0.0030897458725556775
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1217,1,17,0.0020753901712984965
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1217,3,16,0.0197481239393868
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1217,8,18,0.010108446543529683
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1217,7,18,0.022117914323161555
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1217,8,17,0.01786984685516808
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1217,7,17,0.02271404128061403
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1217,7,16,0.013129121654692745
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1217,7,15,0.0068117987381928246
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1217,7,14,0.002556252126022518
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1217,6,18,0.020665128286216226
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1217,5,18,0.025099812099784156
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1217,6,17,0.0058312492575826064
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1217,5,17,0.007060052922998738
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1217,5,16,3.492303506934438e-05
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1217,2,16,0.024179748566782275
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1217,1,16,0.02059988923363395
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1217,2,15,0.00020728334023654757
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1217,1,15,0.007969023653145963
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1217,1,13,0.005095433483413696
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1217,1,12,0.0022806429059589986
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1217,4,5,0.0011510770285818692
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1217,4,4,0.022922811536604987
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1217,3,4,0.007926587170044857
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1217,3,3,0.014794128325871916
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1217,3,2,0.0179817281530367
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1217,5,4,0.025237730888437133
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,hru_id_nat,i,j,wght
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0,1217,24,68,0.00020150872437667988
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1,1217,25,68,0.0009250846277287126
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2,1217,23,67,0.0004928995583311905
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3,1217,24,67,0.001622302510185213
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4,1217,22,67,0.00014597891724816203
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5,1217,20,66,5.90209967561535e-05
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6,1217,21,66,0.0005132161189964269
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7,1217,22,66,0.00024174542687392233
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8,1217,20,65,0.0009215651367398074
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9,1217,27,69,0.0008363972315184544
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10,1217,26,68,0.0014891090157059248
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11,1217,27,68,0.0011205172160968786
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12,1217,26,67,0.0015023485128345727
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13,1217,27,67,0.0013287095916309675
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14,1217,26,66,0.0015254405467882931
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15,1217,27,66,0.00120747004288764
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16,1217,26,65,0.0017188885745783205
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17,1217,27,65,0.0017291414985994608
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18,1217,25,64,0.0008204731285304912
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19,1217,25,67,0.0017322390380204483
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20,1217,23,66,0.00038844649799918207
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21,1217,24,66,0.0013971824688081783
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22,1217,25,66,0.0017322445530070273
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23,1217,23,65,0.001202852489136868
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24,1217,24,65,0.0015686054682408942
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25,1217,25,65,0.0016693937510274168
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26,1217,23,64,0.001726081764895869
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27,1217,24,64,0.00118984724665982
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28,1217,23,63,0.0017322899353260967
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29,1217,19,65,0.00040898888768843805
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31,1217,19,64,0.0017056152087902977
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36,1217,18,61,0.0017323713250098618
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37,1217,21,65,9.147409891132019e-05
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38,1217,22,65,0.0003543343771246205
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39,1217,20,64,0.0013772701830964563
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40,1217,21,64,0.0005214365142975962
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41,1217,22,64,0.0014463123708996512
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42,1217,20,63,0.0017323327102709946
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47,1217,17,64,5.820098614114366e-05
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48,1217,16,63,0.00039036397539205225
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49,1217,14,62,2.295840622401913e-05
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50,1217,13,61,0.00016157098238727945
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51,1217,11,59,0.0007115054151179785
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52,1217,9,58,3.073270814303423e-06
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53,1217,8,57,1.1710836585679613e-06
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54,1217,9,57,0.0009627396917638087
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55,1217,8,56,0.0008728894838490467
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57,1217,7,55,0.0007269712074707245
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65,1217,9,55,0.0017325229339193143
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67,1217,11,55,0.0017324967344992885
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68,1217,9,54,0.0017325278197426349
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71,1217,6,53,0.001665731142796698
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72,1217,4,52,0.00012864133254034552
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73,1217,5,52,0.0015272322164382398
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74,1217,6,52,0.0017325759828547744
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75,1217,4,51,0.001086833719098905
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76,1217,5,51,0.0017325933608506846
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77,1217,17,63,0.0014586224068942092
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78,1217,15,62,0.0008658031779408065
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79,1217,16,62,0.0017022982699554429
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80,1217,17,62,0.0017323799900595095
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81,1217,15,61,0.001732412720124671
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82,1217,16,61,0.001732399002046983
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85,1217,16,60,0.0017324041729841891
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87,1217,14,61,0.0012797025499573964
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88,1217,12,60,0.0003869890093977437
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89,1217,13,60,0.001538829071012939
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90,1217,14,60,0.0017324314700801957
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91,1217,12,59,0.00169331322717141
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92,1217,13,59,0.0017323331535786443
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93,1217,14,59,0.0013863724740699821
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94,1217,12,58,0.001732468512853336
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95,1217,13,58,0.0017324551239336437
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96,1217,14,58,0.0012405834377017212
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97,1217,19,61,0.0017323573660763753
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98,1217,17,60,0.0017305934352224435
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99,1217,18,60,0.0017323765546780616
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100,1217,19,60,0.0016852967823812845
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101,1217,17,59,0.0007352693668583995
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102,1217,18,59,0.0008916211314519702
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103,1217,19,59,0.00018135586771843504
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104,1217,16,59,0.0008702234925444087
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105,1217,15,58,0.00037855798503216934
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106,1217,15,57,0.0007106097965380821
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107,1217,15,56,0.0001403452532466594
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108,1217,15,54,0.00034324659928723243
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109,1217,12,57,0.0017324735265007117
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110,1217,13,57,0.0017324601669813078
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111,1217,14,57,0.0016849341360563853
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112,1217,12,56,0.001732478526932763
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113,1217,13,56,0.001138683602045612
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114,1217,14,56,0.0010749798043289452
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115,1217,12,55,0.0017324835141665075
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116,1217,13,55,0.0011895584263489183
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117,1217,14,55,5.250648568873239e-05
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118,1217,12,54,0.0017324884882089354
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119,1217,19,55,3.316230911265928e-05
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120,1217,17,54,0.00025524979831339774
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121,1217,10,54,0.0017325147896606495
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122,1217,11,54,0.0017325016791498535
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123,1217,9,53,0.0017325326924017084
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124,1217,10,53,0.0017325196917424698
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788,1217,25,8,6.89141574745386e-05
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|
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|
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790,1217,25,7,4.68194314303024e-05
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|
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791,1217,26,7,5.20811362144037e-07
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|
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|
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801,1217,28,5,0.0017325171629788052
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|
||||||
802,1217,27,7,0.0002850611277094448
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|
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803,1217,26,6,9.795885452624786e-05
|
|
||||||
804,1217,27,6,0.0014286968854863062
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|
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805,1217,26,5,0.0007921034568303572
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|
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806,1217,27,5,0.0017325302166627543
|
|
||||||
807,1217,25,4,1.1841990260434277e-06
|
|
||||||
808,1217,26,4,0.001118546372497137
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|
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809,1217,27,4,0.0017325349811328854
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|
||||||
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|
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|
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|
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|
||||||
817,1217,30,4,0.0015239836900741881
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|
||||||
818,1217,31,4,0.0003350694158026754
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|
||||||
819,1217,32,4,8.456684855503856e-05
|
|
||||||
820,1217,29,5,0.0017325040284062268
|
|
||||||
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|
||||||
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|
||||||
823,1217,28,3,0.0017325267369914738
|
|
||||||
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|
|
||||||
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|
||||||
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|
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827,1217,28,1,0.00013136338799496735
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|
||||||
828,1217,29,1,3.0132297467041544e-05
|
|
||||||
829,1217,25,3,0.001197758665399931
|
|
||||||
830,1217,26,3,0.0016416379551319404
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|
||||||
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|
|
||||||
832,1217,25,2,5.2628649115467694e-06
|
|
||||||
833,1217,26,2,0.0006213916381265454
|
|
||||||
834,1217,27,2,5.619668150487062e-06
|
|
||||||
835,1217,30,3,4.1434615020939995e-05
|
|
||||||
836,1217,31,3,8.48290455225462e-06
|
|
||||||
|
@@ -1,163 +0,0 @@
|
|||||||
{
|
|
||||||
"cells": [
|
|
||||||
{
|
|
||||||
"cell_type": "code",
|
|
||||||
"execution_count": null,
|
|
||||||
"id": "6fd04c86-82b8-466f-81df-0a53926fa420",
|
|
||||||
"metadata": {},
|
|
||||||
"outputs": [],
|
|
||||||
"source": [
|
|
||||||
"import fsspec\n",
|
|
||||||
"import xarray as xr\n",
|
|
||||||
"import hvplot.xarray\n",
|
|
||||||
"import hvplot.pandas\n",
|
|
||||||
"import hvplot.dask\n",
|
|
||||||
"# import intake\n",
|
|
||||||
"import os\n",
|
|
||||||
"import warnings\n",
|
|
||||||
"# import intake_xarray\n",
|
|
||||||
"import geopandas as gpd\n",
|
|
||||||
"from pynhd import NLDI, WaterData\n",
|
|
||||||
"# from dask.distributed import LocalCluster, Client\n",
|
|
||||||
"# from gdptools.helpers import get_shp_bounds_w_buffer, build_subset\n",
|
|
||||||
"# from helpers import configure_cluster\n",
|
|
||||||
"\n",
|
|
||||||
"warnings.filterwarnings('ignore')"
|
|
||||||
]
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"cell_type": "code",
|
|
||||||
"execution_count": null,
|
|
||||||
"id": "edf27719-ce97-4d35-a7b0-8065b26874f7",
|
|
||||||
"metadata": {},
|
|
||||||
"outputs": [],
|
|
||||||
"source": [
|
|
||||||
"# USGS gage 01482100 Delaware River at Del Mem Bridge at Wilmington De\n",
|
|
||||||
"gage_id = '01482100'\n",
|
|
||||||
"nldi = NLDI()\n",
|
|
||||||
"del_basins = nldi.get_basins(gage_id)\n",
|
|
||||||
"huc12_basins = WaterData('huc12').bygeom(del_basins.geometry[0])\n",
|
|
||||||
"\n",
|
|
||||||
"import pandas as pd\n",
|
|
||||||
"param_json = \"https://mikejohnson51.github.io/opendap.catalog/cat_params.json\"\n",
|
|
||||||
"grid_json = \"https://mikejohnson51.github.io/opendap.catalog/cat_grids.json\"\n",
|
|
||||||
"params = pd.read_json(param_json)\n",
|
|
||||||
"grids = pd.read_json(grid_json)\n",
|
|
||||||
"\n",
|
|
||||||
"_id = \"gridmet\"\n",
|
|
||||||
"_varname = \"daily_maximum_temperature\"\n",
|
|
||||||
"tc = params.query(\"id == @_id & varname == @_varname\")\n",
|
|
||||||
"print(type(tc), len(tc))\n",
|
|
||||||
"tc"
|
|
||||||
]
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"cell_type": "code",
|
|
||||||
"execution_count": null,
|
|
||||||
"id": "7d819411-bb81-46e2-8305-42f9f2c396d1",
|
|
||||||
"metadata": {},
|
|
||||||
"outputs": [],
|
|
||||||
"source": [
|
|
||||||
"# Create a dictionary of parameter dataframes for each variable\n",
|
|
||||||
"vars = [\"tmmn\", \"tmmx\"]\n",
|
|
||||||
"var_params = []\n",
|
|
||||||
"for var in vars:\n",
|
|
||||||
" var_params.append(params.query(\"id == @_id & variable == @var\"))\n",
|
|
||||||
"param_dict = dict(zip(vars, var_params))\n",
|
|
||||||
"param_dict.get('tmmn')"
|
|
||||||
]
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"cell_type": "code",
|
|
||||||
"execution_count": null,
|
|
||||||
"id": "0d1876e8-4b97-49eb-8d72-0f97843fef3b",
|
|
||||||
"metadata": {},
|
|
||||||
"outputs": [],
|
|
||||||
"source": [
|
|
||||||
"# Create a dictionary of grid dataframes for each variable\n",
|
|
||||||
"var_grid = []\n",
|
|
||||||
"for var in vars:\n",
|
|
||||||
" gridid = param_dict.get(var)['grid_id'].values[0]\n",
|
|
||||||
" var_grid.append(grids.query('grid_id == @gridid'))\n",
|
|
||||||
"grid_dict = dict(zip(vars, var_grid))\n",
|
|
||||||
"grid_dict.get('tmmn')"
|
|
||||||
]
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"cell_type": "code",
|
|
||||||
"execution_count": null,
|
|
||||||
"id": "75be1872-a9c1-42b1-84d4-eaf85e9d63d1",
|
|
||||||
"metadata": {},
|
|
||||||
"outputs": [],
|
|
||||||
"source": [
|
|
||||||
"import tempfile\n",
|
|
||||||
"from gdptools.helpers import calc_weights_catalog\n",
|
|
||||||
"wghtf = calc_weights_catalog(\n",
|
|
||||||
" params_json=param_dict.get(\"tmmn\"),\n",
|
|
||||||
" grid_json=grid_dict.get(\"tmmn\"),\n",
|
|
||||||
" shp_file=huc12_basins,\n",
|
|
||||||
" shp_poly_idx='huc12',\n",
|
|
||||||
" wght_gen_file=tempfile.NamedTemporaryFile().name,\n",
|
|
||||||
" wght_gen_proj=6931,\n",
|
|
||||||
" )\n",
|
|
||||||
"\n",
|
|
||||||
"tmp = 0"
|
|
||||||
]
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"cell_type": "code",
|
|
||||||
"execution_count": null,
|
|
||||||
"id": "70139be4-efcd-4d47-9302-0142b7990cb4",
|
|
||||||
"metadata": {},
|
|
||||||
"outputs": [],
|
|
||||||
"source": [
|
|
||||||
"from gdptools.run_weights_engine import RunWghtEngine\n",
|
|
||||||
"eng = RunWghtEngine()\n",
|
|
||||||
"eng.initialize(\n",
|
|
||||||
" param_dict=param_dict,\n",
|
|
||||||
" grid_dict=grid_dict,\n",
|
|
||||||
" wghts=wghtf,\n",
|
|
||||||
" gdf=huc12_basins,\n",
|
|
||||||
" gdf_poly_idx='huc12',\n",
|
|
||||||
" start_date=\"2020-01-01\",\n",
|
|
||||||
" end_date=\"2020-01-07\"\n",
|
|
||||||
")\n",
|
|
||||||
"ngdf, nvals = eng.run(numdiv=1) "
|
|
||||||
]
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"cell_type": "code",
|
|
||||||
"execution_count": null,
|
|
||||||
"id": "36812590-fb33-4162-bf22-f6455bea4ee8",
|
|
||||||
"metadata": {},
|
|
||||||
"outputs": [],
|
|
||||||
"source": []
|
|
||||||
}
|
|
||||||
],
|
|
||||||
"metadata": {
|
|
||||||
"kernelspec": {
|
|
||||||
"display_name": "Python 3.9.13",
|
|
||||||
"language": "python",
|
|
||||||
"name": "python3"
|
|
||||||
},
|
|
||||||
"language_info": {
|
|
||||||
"codemirror_mode": {
|
|
||||||
"name": "ipython",
|
|
||||||
"version": 3
|
|
||||||
},
|
|
||||||
"file_extension": ".py",
|
|
||||||
"mimetype": "text/x-python",
|
|
||||||
"name": "python",
|
|
||||||
"nbconvert_exporter": "python",
|
|
||||||
"pygments_lexer": "ipython3",
|
|
||||||
"version": "3.9.13"
|
|
||||||
},
|
|
||||||
"vscode": {
|
|
||||||
"interpreter": {
|
|
||||||
"hash": "3365295dbac4842fc2bf269a7ec44c70d326e0f953d0b638b14de2730fd8846e"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
},
|
|
||||||
"nbformat": 4,
|
|
||||||
"nbformat_minor": 5
|
|
||||||
}
|
|
||||||
@@ -1 +0,0 @@
|
|||||||
UTF-8
|
|
||||||
Binary file not shown.
@@ -1 +0,0 @@
|
|||||||
PROJCS["USA_Contiguous_Albers_Equal_Area_Conic_USGS_version",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Albers"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-96.0],PARAMETER["Standard_Parallel_1",29.5],PARAMETER["Standard_Parallel_2",45.5],PARAMETER["Latitude_Of_Origin",23.0],UNIT["Meter",1.0]]
|
|
||||||
@@ -1,26 +0,0 @@
|
|||||||
<!DOCTYPE qgis PUBLIC 'http://mrcc.com/qgis.dtd' 'SYSTEM'>
|
|
||||||
<qgis version="3.22.5-Bia?owie?a">
|
|
||||||
<identifier></identifier>
|
|
||||||
<parentidentifier></parentidentifier>
|
|
||||||
<language></language>
|
|
||||||
<type>dataset</type>
|
|
||||||
<title></title>
|
|
||||||
<abstract></abstract>
|
|
||||||
<links/>
|
|
||||||
<fees></fees>
|
|
||||||
<encoding></encoding>
|
|
||||||
<crs>
|
|
||||||
<spatialrefsys>
|
|
||||||
<wkt></wkt>
|
|
||||||
<proj4></proj4>
|
|
||||||
<srsid>0</srsid>
|
|
||||||
<srid>0</srid>
|
|
||||||
<authid></authid>
|
|
||||||
<description></description>
|
|
||||||
<projectionacronym></projectionacronym>
|
|
||||||
<ellipsoidacronym></ellipsoidacronym>
|
|
||||||
<geographicflag>false</geographicflag>
|
|
||||||
</spatialrefsys>
|
|
||||||
</crs>
|
|
||||||
<extent/>
|
|
||||||
</qgis>
|
|
||||||
Binary file not shown.
Binary file not shown.
@@ -1 +0,0 @@
|
|||||||
UTF-8
|
|
||||||
Binary file not shown.
@@ -1 +0,0 @@
|
|||||||
PROJCS["USA_Contiguous_Albers_Equal_Area_Conic_USGS_version",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Albers"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-96.0],PARAMETER["Standard_Parallel_1",29.5],PARAMETER["Standard_Parallel_2",45.5],PARAMETER["Latitude_Of_Origin",23.0],UNIT["Meter",1.0]]
|
|
||||||
@@ -1,26 +0,0 @@
|
|||||||
<!DOCTYPE qgis PUBLIC 'http://mrcc.com/qgis.dtd' 'SYSTEM'>
|
|
||||||
<qgis version="3.22.5-Bia?owie?a">
|
|
||||||
<identifier></identifier>
|
|
||||||
<parentidentifier></parentidentifier>
|
|
||||||
<language></language>
|
|
||||||
<type>dataset</type>
|
|
||||||
<title></title>
|
|
||||||
<abstract></abstract>
|
|
||||||
<links/>
|
|
||||||
<fees></fees>
|
|
||||||
<encoding></encoding>
|
|
||||||
<crs>
|
|
||||||
<spatialrefsys>
|
|
||||||
<wkt></wkt>
|
|
||||||
<proj4></proj4>
|
|
||||||
<srsid>0</srsid>
|
|
||||||
<srid>0</srid>
|
|
||||||
<authid></authid>
|
|
||||||
<description></description>
|
|
||||||
<projectionacronym></projectionacronym>
|
|
||||||
<ellipsoidacronym></ellipsoidacronym>
|
|
||||||
<geographicflag>false</geographicflag>
|
|
||||||
</spatialrefsys>
|
|
||||||
</crs>
|
|
||||||
<extent/>
|
|
||||||
</qgis>
|
|
||||||
Binary file not shown.
Binary file not shown.
@@ -1 +0,0 @@
|
|||||||
UTF-8
|
|
||||||
Binary file not shown.
@@ -1 +0,0 @@
|
|||||||
GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]]
|
|
||||||
@@ -1,43 +0,0 @@
|
|||||||
<!DOCTYPE qgis PUBLIC 'http://mrcc.com/qgis.dtd' 'SYSTEM'>
|
|
||||||
<qgis version="3.22.5-Bia?owie?a">
|
|
||||||
<identifier></identifier>
|
|
||||||
<parentidentifier></parentidentifier>
|
|
||||||
<language></language>
|
|
||||||
<type>dataset</type>
|
|
||||||
<title></title>
|
|
||||||
<abstract></abstract>
|
|
||||||
<contact>
|
|
||||||
<name></name>
|
|
||||||
<organization></organization>
|
|
||||||
<position></position>
|
|
||||||
<voice></voice>
|
|
||||||
<fax></fax>
|
|
||||||
<email></email>
|
|
||||||
<role></role>
|
|
||||||
</contact>
|
|
||||||
<links/>
|
|
||||||
<fees></fees>
|
|
||||||
<encoding></encoding>
|
|
||||||
<crs>
|
|
||||||
<spatialrefsys>
|
|
||||||
<wkt></wkt>
|
|
||||||
<proj4></proj4>
|
|
||||||
<srsid>0</srsid>
|
|
||||||
<srid>0</srid>
|
|
||||||
<authid></authid>
|
|
||||||
<description></description>
|
|
||||||
<projectionacronym></projectionacronym>
|
|
||||||
<ellipsoidacronym></ellipsoidacronym>
|
|
||||||
<geographicflag>false</geographicflag>
|
|
||||||
</spatialrefsys>
|
|
||||||
</crs>
|
|
||||||
<extent>
|
|
||||||
<spatial dimensions="2" crs="" maxx="0" maxz="0" minz="0" maxy="0" miny="0" minx="0"/>
|
|
||||||
<temporal>
|
|
||||||
<period>
|
|
||||||
<start></start>
|
|
||||||
<end></end>
|
|
||||||
</period>
|
|
||||||
</temporal>
|
|
||||||
</extent>
|
|
||||||
</qgis>
|
|
||||||
Binary file not shown.
Binary file not shown.
@@ -1,95 +0,0 @@
|
|||||||
,hru_id_nat,i,j,wght
|
|
||||||
0,1217,9,21,0.010385113453602842
|
|
||||||
1,1217,8,21,0.003508973537762682
|
|
||||||
2,1217,9,20,0.022090459915468343
|
|
||||||
3,1217,8,20,0.020671836365909205
|
|
||||||
4,1217,9,19,0.02271996923093199
|
|
||||||
5,1217,8,19,0.0058229364058856765
|
|
||||||
6,1217,9,18,0.013130850948726316
|
|
||||||
7,1217,7,21,0.002499708961998342
|
|
||||||
8,1217,7,20,0.02509912823800202
|
|
||||||
9,1217,6,20,0.01907290544540379
|
|
||||||
10,1217,7,19,0.007056794046585599
|
|
||||||
11,1217,6,19,0.007743171650448804
|
|
||||||
12,1217,5,19,0.02343208521623885
|
|
||||||
13,1217,5,20,0.008358360009321298
|
|
||||||
14,1217,4,20,5.6304754023110946e-05
|
|
||||||
15,1217,4,19,0.018038942623158215
|
|
||||||
16,1217,3,19,0.002082110439914532
|
|
||||||
17,1217,4,18,0.024177247306878126
|
|
||||||
18,1217,7,18,3.058806916741606e-05
|
|
||||||
19,1217,6,18,0.003133768911694372
|
|
||||||
20,1217,5,18,0.01978963322082683
|
|
||||||
21,1217,3,18,0.020592573781125896
|
|
||||||
22,1217,2,18,0.0006779503538345632
|
|
||||||
23,1217,4,17,0.00021576524621362992
|
|
||||||
24,1217,3,17,0.00797284270189162
|
|
||||||
25,1217,2,17,0.009323334115058987
|
|
||||||
26,1217,2,16,0.009768515305339655
|
|
||||||
27,1217,3,15,0.005075664829726569
|
|
||||||
28,1217,2,15,0.01743384274228927
|
|
||||||
29,1217,3,14,0.0022756226309730244
|
|
||||||
30,1217,2,14,0.01442984758966935
|
|
||||||
31,1217,12,21,0.002418114956077962
|
|
||||||
32,1217,11,21,0.005944155635677215
|
|
||||||
33,1217,10,21,0.0030931603519837817
|
|
||||||
34,1217,11,20,0.022762084768619167
|
|
||||||
35,1217,10,20,0.010084165757596571
|
|
||||||
36,1217,11,19,0.024608163241500173
|
|
||||||
37,1217,10,19,0.01787644564343566
|
|
||||||
38,1217,11,18,0.014923935364042525
|
|
||||||
39,1217,12,20,0.006536717433879459
|
|
||||||
40,1217,12,19,0.0009529187233115947
|
|
||||||
41,1217,12,18,0.0036493919105850176
|
|
||||||
42,1217,12,17,0.0031233321508102496
|
|
||||||
43,1217,10,18,0.003938599372807205
|
|
||||||
44,1217,10,17,0.01583026756714666
|
|
||||||
45,1217,9,17,0.0068161788051025705
|
|
||||||
46,1217,10,16,0.020942460541649045
|
|
||||||
47,1217,9,16,0.002562250969507334
|
|
||||||
48,1217,10,15,0.013969186760700913
|
|
||||||
49,1217,9,15,0.00015357587823515385
|
|
||||||
50,1217,11,17,0.002309316633566189
|
|
||||||
51,1217,11,16,0.0008031353112737044
|
|
||||||
52,1217,11,14,0.004008510213053036
|
|
||||||
53,1217,10,14,0.01430469320305944
|
|
||||||
54,1217,11,13,0.009482736241314193
|
|
||||||
55,1217,10,13,0.0024214527631840465
|
|
||||||
56,1217,11,12,0.012429001451739542
|
|
||||||
57,1217,10,12,0.006927664633561424
|
|
||||||
58,1217,11,11,0.015252125133789787
|
|
||||||
59,1217,10,11,0.012474795340704148
|
|
||||||
60,1217,10,10,0.01743436239008998
|
|
||||||
61,1217,10,9,0.022524074494531237
|
|
||||||
62,1217,9,9,0.00011695690400420476
|
|
||||||
63,1217,10,8,0.020419512554429007
|
|
||||||
64,1217,11,10,0.012463668266503875
|
|
||||||
65,1217,11,9,0.0016145023958267295
|
|
||||||
66,1217,11,8,7.190817319719135e-05
|
|
||||||
67,1217,11,7,0.0007142824231105722
|
|
||||||
68,1217,10,6,0.0020928772251331764
|
|
||||||
69,1217,9,8,0.0062604598757939065
|
|
||||||
70,1217,10,7,0.02123177604161553
|
|
||||||
71,1217,9,7,0.021592198036589162
|
|
||||||
72,1217,8,7,0.0015857604617338804
|
|
||||||
73,1217,9,6,0.018835090571409606
|
|
||||||
74,1217,8,6,0.023471986923080997
|
|
||||||
75,1217,9,5,0.00023870638976033662
|
|
||||||
76,1217,8,5,0.0038741797919178036
|
|
||||||
77,1217,7,7,0.0044579421384705635
|
|
||||||
78,1217,6,7,0.0011460055994972607
|
|
||||||
79,1217,7,6,0.025232954953369958
|
|
||||||
80,1217,6,6,0.022937590033638138
|
|
||||||
81,1217,7,5,0.01237675581737259
|
|
||||||
82,1217,6,5,0.02488293379972019
|
|
||||||
83,1217,5,5,0.014798783786828095
|
|
||||||
84,1217,6,4,0.02349295723714499
|
|
||||||
85,1217,7,4,0.0010609558457634189
|
|
||||||
86,1217,5,4,0.018009192964290276
|
|
||||||
87,1217,6,3,0.011688343114585689
|
|
||||||
88,1217,5,3,0.02413199781462915
|
|
||||||
89,1217,5,2,0.006115341450878622
|
|
||||||
90,1217,4,2,0.009725631408042223
|
|
||||||
91,1217,5,6,0.007927047239565093
|
|
||||||
92,1217,4,4,0.0005700874784422043
|
|
||||||
93,1217,4,3,0.009637791593042252
|
|
||||||
|
@@ -1,15 +0,0 @@
|
|||||||
"""Typeguard support for tests."""
|
|
||||||
import pytest
|
|
||||||
|
|
||||||
try:
|
|
||||||
import typeguard # noqa: F401
|
|
||||||
except ImportError:
|
|
||||||
has_typeguard = False
|
|
||||||
else:
|
|
||||||
has_typeguard = True
|
|
||||||
|
|
||||||
|
|
||||||
skip_if_typeguard = pytest.mark.skipif(
|
|
||||||
has_typeguard,
|
|
||||||
reason="Broken if Typeguard is enabled",
|
|
||||||
)
|
|
||||||
@@ -1,138 +0,0 @@
|
|||||||
"""Testing ancillary functions."""
|
|
||||||
from typing import Any
|
|
||||||
|
|
||||||
import geopandas as gpd
|
|
||||||
import numpy as np
|
|
||||||
import numpy.typing as npt
|
|
||||||
import pandas as pd
|
|
||||||
import pytest
|
|
||||||
import xarray as xr
|
|
||||||
from pyproj.crs import CRS
|
|
||||||
from pyproj.exceptions import CRSError
|
|
||||||
|
|
||||||
from gdptools.ancillary import _check_for_intersection
|
|
||||||
from gdptools.ancillary import _generate_weights_pershp
|
|
||||||
from gdptools.ancillary import _get_cells_poly
|
|
||||||
from gdptools.ancillary import _get_crs
|
|
||||||
from gdptools.ancillary import _get_data_via_catalog
|
|
||||||
from gdptools.ancillary import _get_shp_file
|
|
||||||
from gdptools.gdp_data_class import CatGrids
|
|
||||||
from gdptools.gdp_data_class import CatParams
|
|
||||||
|
|
||||||
|
|
||||||
@pytest.mark.parametrize(
|
|
||||||
"crs",
|
|
||||||
[
|
|
||||||
"epsg:4326",
|
|
||||||
4326,
|
|
||||||
"+proj=longlat +a=6378137 +f=0.00335281066474748 +pm=0 +no_defs",
|
|
||||||
],
|
|
||||||
)
|
|
||||||
def test__get_crs(crs: Any) -> None:
|
|
||||||
"""Test the get_crs function."""
|
|
||||||
crs = _get_crs(crs)
|
|
||||||
assert isinstance(crs, CRS)
|
|
||||||
|
|
||||||
|
|
||||||
@pytest.mark.parametrize(
|
|
||||||
"crs",
|
|
||||||
[
|
|
||||||
"espg:4326",
|
|
||||||
43,
|
|
||||||
"+a=6378137 +f=0.00335281066474748 +pm=0 +no_defs",
|
|
||||||
],
|
|
||||||
)
|
|
||||||
def test__get_bad_crs(crs: Any) -> None:
|
|
||||||
"""Test the get_crs function."""
|
|
||||||
with pytest.raises(CRSError):
|
|
||||||
crs = _get_crs(crs)
|
|
||||||
|
|
||||||
|
|
||||||
@pytest.fixture
|
|
||||||
def param_json() -> pd.DataFrame:
|
|
||||||
"""Return parameter json."""
|
|
||||||
param_json = "https://mikejohnson51.github.io/opendap.catalog/cat_params.json"
|
|
||||||
params = pd.read_json(param_json)
|
|
||||||
_id = "gridmet" # noqa
|
|
||||||
_varname = "daily_maximum_temperature" # noqa
|
|
||||||
return params.query("id == @_id & varname == @_varname")
|
|
||||||
|
|
||||||
|
|
||||||
@pytest.fixture
|
|
||||||
def grid_json() -> pd.DataFrame:
|
|
||||||
"""Return grid json."""
|
|
||||||
grid_json = "https://mikejohnson51.github.io/opendap.catalog/cat_grids.json"
|
|
||||||
grids = pd.read_json(grid_json)
|
|
||||||
_gridid = 176 # noqa
|
|
||||||
return grids.query("grid_id == @_gridid")
|
|
||||||
|
|
||||||
|
|
||||||
@pytest.fixture
|
|
||||||
def gdf() -> gpd.GeoDataFrame:
|
|
||||||
"""Create xarray dataset."""
|
|
||||||
return gpd.read_file("./tests/data/hru_1210.shp")
|
|
||||||
|
|
||||||
|
|
||||||
@pytest.fixture
|
|
||||||
def catparam(param_json) -> CatParams:
|
|
||||||
"""Return CatParams."""
|
|
||||||
return CatParams(**param_json.to_dict("records")[0])
|
|
||||||
|
|
||||||
|
|
||||||
@pytest.fixture
|
|
||||||
def catgrid(grid_json) -> CatGrids:
|
|
||||||
"""Return CatGrids."""
|
|
||||||
return CatGrids(**grid_json.to_dict("records")[0])
|
|
||||||
|
|
||||||
|
|
||||||
@pytest.fixture
|
|
||||||
def is_degrees(gdf, catparam, catgrid) -> bool:
|
|
||||||
is_intersect, is_degrees, is_0_360 = _check_for_intersection(
|
|
||||||
params_json=catparam, grid_json=catgrid, gdf=gdf
|
|
||||||
)
|
|
||||||
return is_degrees
|
|
||||||
|
|
||||||
|
|
||||||
@pytest.fixture
|
|
||||||
def bounds(gdf, catgrid, is_degrees) -> npt.NDArray[np.double]:
|
|
||||||
"""Get bounds."""
|
|
||||||
gdf, bounds = _get_shp_file(gdf, catgrid, is_degrees)
|
|
||||||
return bounds
|
|
||||||
|
|
||||||
|
|
||||||
@pytest.fixture
|
|
||||||
def xarray(catparam, catgrid, bounds) -> xr.Dataset:
|
|
||||||
"""Create xarray dataset."""
|
|
||||||
return _get_data_via_catalog(catparam, catgrid, bounds, "2020-01-01")
|
|
||||||
|
|
||||||
|
|
||||||
def test__get_cells_poly(catparam, catgrid, bounds) -> None:
|
|
||||||
"""Test _get_cells_poly."""
|
|
||||||
ds = _get_data_via_catalog(catparam, catgrid, bounds, "2020-01-01")
|
|
||||||
assert isinstance(ds, xr.DataArray)
|
|
||||||
gdf = _get_cells_poly(
|
|
||||||
xr_a=ds, x=catgrid.X_name, y=catgrid.Y_name, var=catparam.varname, crs_in=4326
|
|
||||||
)
|
|
||||||
assert isinstance(gdf, gpd.GeoDataFrame)
|
|
||||||
|
|
||||||
|
|
||||||
def test__generate_weights_pershape(gdf, catparam, catgrid, bounds) -> None:
|
|
||||||
"""Test _generate_weights_pershape."""
|
|
||||||
ds = _get_data_via_catalog(catparam, catgrid, bounds, "2020-01-01")
|
|
||||||
assert isinstance(ds, xr.DataArray)
|
|
||||||
grid_cells = _get_cells_poly(
|
|
||||||
xr_a=ds,
|
|
||||||
x=catgrid.X_name,
|
|
||||||
y=catgrid.Y_name,
|
|
||||||
var=catparam.varname,
|
|
||||||
crs_in=catgrid.proj,
|
|
||||||
)
|
|
||||||
assert isinstance(grid_cells, gpd.GeoDataFrame)
|
|
||||||
df = _generate_weights_pershp(
|
|
||||||
poly=gdf,
|
|
||||||
poly_idx="hru_id_nat",
|
|
||||||
grid_cells=grid_cells,
|
|
||||||
grid_cells_crs=catgrid.proj,
|
|
||||||
wght_gen_crs=6931,
|
|
||||||
)
|
|
||||||
assert isinstance(df, pd.DataFrame)
|
|
||||||
@@ -1,128 +0,0 @@
|
|||||||
"""Testing ancillary functions."""
|
|
||||||
from typing import Any
|
|
||||||
|
|
||||||
import geopandas as gpd
|
|
||||||
import numpy as np
|
|
||||||
import numpy.typing as npt
|
|
||||||
import pandas as pd
|
|
||||||
import pytest
|
|
||||||
import xarray as xr
|
|
||||||
from pyproj.crs import CRS
|
|
||||||
from pyproj.exceptions import CRSError
|
|
||||||
|
|
||||||
from gdptools.ancillary import _check_for_intersection
|
|
||||||
from gdptools.ancillary import _generate_weights_pershp
|
|
||||||
from gdptools.ancillary import _get_cells_poly
|
|
||||||
from gdptools.ancillary import _get_crs
|
|
||||||
from gdptools.ancillary import _get_data_via_catalog
|
|
||||||
from gdptools.ancillary import _get_shp_file
|
|
||||||
from gdptools.gdp_data_class import CatGrids
|
|
||||||
from gdptools.gdp_data_class import CatParams
|
|
||||||
|
|
||||||
|
|
||||||
@pytest.mark.parametrize(
|
|
||||||
"crs",
|
|
||||||
[
|
|
||||||
"epsg:4326",
|
|
||||||
4326,
|
|
||||||
"+proj=longlat +a=6378137 +f=0.00335281066474748 +pm=0 +no_defs",
|
|
||||||
],
|
|
||||||
)
|
|
||||||
def test__get_crs(crs: Any) -> None:
|
|
||||||
"""Test the get_crs function."""
|
|
||||||
crs = _get_crs(crs)
|
|
||||||
assert isinstance(crs, CRS)
|
|
||||||
|
|
||||||
|
|
||||||
@pytest.mark.parametrize(
|
|
||||||
"crs",
|
|
||||||
[
|
|
||||||
"espg:4326",
|
|
||||||
43,
|
|
||||||
"+a=6378137 +f=0.00335281066474748 +pm=0 +no_defs",
|
|
||||||
],
|
|
||||||
)
|
|
||||||
def test__get_bad_crs(crs: Any) -> None:
|
|
||||||
"""Test the get_crs function."""
|
|
||||||
with pytest.raises(CRSError):
|
|
||||||
crs = _get_crs(crs)
|
|
||||||
|
|
||||||
|
|
||||||
@pytest.fixture
|
|
||||||
def catparam() -> CatParams:
|
|
||||||
"""Return parameter json."""
|
|
||||||
param_json = "https://mikejohnson51.github.io/opendap.catalog/cat_params.json"
|
|
||||||
params = pd.read_json(param_json)
|
|
||||||
_id = "gridmet" # noqa
|
|
||||||
_varname = "daily_maximum_temperature" # noqa
|
|
||||||
tc = params.query("id == @_id & varname == @_varname")
|
|
||||||
return CatParams(**tc.to_dict("records")[0])
|
|
||||||
|
|
||||||
|
|
||||||
@pytest.fixture
|
|
||||||
def catgrid() -> CatGrids:
|
|
||||||
"""Return grid json."""
|
|
||||||
grid_json = "https://mikejohnson51.github.io/opendap.catalog/cat_grids.json"
|
|
||||||
grids = pd.read_json(grid_json)
|
|
||||||
_gridid = 176 # noqa
|
|
||||||
tc = grids.query("grid_id == @_gridid")
|
|
||||||
return CatGrids(**tc.to_dict("records")[0])
|
|
||||||
|
|
||||||
|
|
||||||
@pytest.fixture
|
|
||||||
def gdf() -> gpd.GeoDataFrame:
|
|
||||||
"""Create xarray dataset."""
|
|
||||||
return gpd.read_file("./tests/data/hru_1210.shp")
|
|
||||||
|
|
||||||
|
|
||||||
@pytest.fixture
|
|
||||||
def is_degrees(gdf, catparam, catgrid) -> bool:
|
|
||||||
is_intersect, is_degrees, is_0_360 = _check_for_intersection(
|
|
||||||
params_json=catparam, grid_json=catgrid, gdf=gdf
|
|
||||||
)
|
|
||||||
return is_degrees
|
|
||||||
|
|
||||||
@pytest.fixture
|
|
||||||
def bounds(gdf, catgrid, is_degrees) -> npt.NDArray[np.double]:
|
|
||||||
"""Get bounds."""
|
|
||||||
gdf, bounds = _get_shp_file(gdf, catgrid, is_degrees)
|
|
||||||
return bounds
|
|
||||||
|
|
||||||
|
|
||||||
@pytest.fixture
|
|
||||||
def xarray(catparam, catgrid, bounds) -> xr.Dataset:
|
|
||||||
"""Create xarray dataset."""
|
|
||||||
return _get_data_via_catalog(catparam, catgrid, bounds, "2020-01-01")
|
|
||||||
|
|
||||||
|
|
||||||
def test__get_cells_poly(catparam, catgrid, bounds) -> None:
|
|
||||||
"""Test _get_cells_poly."""
|
|
||||||
ds = _get_data_via_catalog(catparam, catgrid, bounds, "2020-01-01")
|
|
||||||
print(ds)
|
|
||||||
assert isinstance(ds, xr.DataArray)
|
|
||||||
gdf = _get_cells_poly(
|
|
||||||
xr_a=ds, x="lon", y="lat", var="daily_maximum_temperature", crs_in=4326
|
|
||||||
)
|
|
||||||
assert isinstance(gdf, gpd.GeoDataFrame)
|
|
||||||
|
|
||||||
|
|
||||||
def test__generate_weights_pershape(gdf, catparam, catgrid, bounds) -> None:
|
|
||||||
"""Test _generate_weights_pershape."""
|
|
||||||
ds = _get_data_via_catalog(catparam, catgrid, bounds, "2020-01-01")
|
|
||||||
assert isinstance(ds, xr.DataArray)
|
|
||||||
grid_cells = _get_cells_poly(
|
|
||||||
xr_a=ds,
|
|
||||||
x="lon",
|
|
||||||
y="lat",
|
|
||||||
var="daily_maximum_temperature",
|
|
||||||
crs_in=catgrid.proj,
|
|
||||||
)
|
|
||||||
assert isinstance(grid_cells, gpd.GeoDataFrame)
|
|
||||||
df = _generate_weights_pershp(
|
|
||||||
poly=gdf,
|
|
||||||
poly_idx="hru_id_nat",
|
|
||||||
grid_cells=grid_cells,
|
|
||||||
grid_cells_crs=catgrid.proj,
|
|
||||||
wght_gen_crs=6931,
|
|
||||||
)
|
|
||||||
assert isinstance(df, pd.DataFrame)
|
|
||||||
@@ -1,17 +0,0 @@
|
|||||||
"""Test cases for the __main__ module."""
|
|
||||||
import pytest
|
|
||||||
from click.testing import CliRunner
|
|
||||||
|
|
||||||
from gdptools import __main__
|
|
||||||
|
|
||||||
|
|
||||||
@pytest.fixture
|
|
||||||
def runner() -> CliRunner:
|
|
||||||
"""Fixture for invoking command-line interfaces."""
|
|
||||||
return CliRunner()
|
|
||||||
|
|
||||||
|
|
||||||
def test_main_succeeds(runner: CliRunner) -> None:
|
|
||||||
"""It exits with a status code of zero."""
|
|
||||||
result = runner.invoke(__main__.main)
|
|
||||||
assert result.exit_code == 0
|
|
||||||
@@ -1,127 +0,0 @@
|
|||||||
"""Testing run_wght_engine functions."""
|
|
||||||
from pathlib import Path
|
|
||||||
from tempfile import TemporaryDirectory
|
|
||||||
from typing import Dict
|
|
||||||
|
|
||||||
import geopandas as gpd
|
|
||||||
import numpy as np
|
|
||||||
import pandas as pd
|
|
||||||
import pytest
|
|
||||||
|
|
||||||
from gdptools.gdp_data_class import CatGrids
|
|
||||||
from gdptools.gdp_data_class import CatParams
|
|
||||||
from gdptools.helpers import calc_weights_catalog
|
|
||||||
from gdptools.run_weights_engine import RunWghtEngine
|
|
||||||
|
|
||||||
# from .support import skip_if_typeguard
|
|
||||||
|
|
||||||
gm_vars = ["aet", "pet", "PDSI"]
|
|
||||||
|
|
||||||
|
|
||||||
@pytest.fixture
|
|
||||||
def param_dict(vars=gm_vars) -> Dict:
|
|
||||||
"""Return parameter json."""
|
|
||||||
param_json = "https://mikejohnson51.github.io/opendap.catalog/cat_params.json"
|
|
||||||
params = pd.read_json(param_json)
|
|
||||||
_id = "terraclim" # noqa
|
|
||||||
var_params = [
|
|
||||||
params.query(
|
|
||||||
"id == @_id & variable == @_var", local_dict={"_id": _id, "_var": _var}
|
|
||||||
)
|
|
||||||
for _var in vars
|
|
||||||
]
|
|
||||||
return dict(zip(vars, var_params))
|
|
||||||
|
|
||||||
|
|
||||||
@pytest.fixture
|
|
||||||
def grid_dict(vars=gm_vars) -> Dict:
|
|
||||||
"""Return grid json."""
|
|
||||||
grid_json = "https://mikejohnson51.github.io/opendap.catalog/cat_grids.json"
|
|
||||||
grids = pd.read_json(grid_json)
|
|
||||||
_gridid = 116 # noqa
|
|
||||||
var_grid = [
|
|
||||||
grids.query(
|
|
||||||
"grid_id == @_gridid", local_dict={"_gridid": _gridid, "_var": _var}
|
|
||||||
)
|
|
||||||
for _var in vars
|
|
||||||
]
|
|
||||||
return dict(zip(vars, var_grid))
|
|
||||||
|
|
||||||
|
|
||||||
@pytest.fixture
|
|
||||||
def gdf() -> gpd.GeoDataFrame:
|
|
||||||
"""Create xarray dataset."""
|
|
||||||
return gpd.read_file("./tests/data/hru_1210.shp")
|
|
||||||
|
|
||||||
|
|
||||||
@pytest.fixture
|
|
||||||
def poly_idx() -> str:
|
|
||||||
"""Return poly_idx."""
|
|
||||||
return "hru_id_nat"
|
|
||||||
|
|
||||||
|
|
||||||
@pytest.fixture
|
|
||||||
def wght_gen_proj() -> int:
|
|
||||||
"""Return wght gen projection."""
|
|
||||||
return 6931
|
|
||||||
|
|
||||||
|
|
||||||
# @skip_if_typeguard
|
|
||||||
def test__rwe(
|
|
||||||
param_dict, grid_dict, gdf, poly_idx, wght_gen_proj, tvars=gm_vars
|
|
||||||
) -> None:
|
|
||||||
"""Test rwe."""
|
|
||||||
cp = CatParams(**param_dict.get(tvars[0]).to_dict("records")[0])
|
|
||||||
cg = CatGrids(**grid_dict.get(tvars[0]).to_dict("records")[0])
|
|
||||||
wghtf = calc_weights_catalog(
|
|
||||||
params_json=cp,
|
|
||||||
grid_json=cg,
|
|
||||||
shp_file=gdf,
|
|
||||||
shp_poly_idx=poly_idx,
|
|
||||||
wght_gen_proj=wght_gen_proj,
|
|
||||||
)
|
|
||||||
assert isinstance(wghtf, pd.DataFrame)
|
|
||||||
|
|
||||||
eng = RunWghtEngine()
|
|
||||||
|
|
||||||
eng.initialize(
|
|
||||||
param_dict=param_dict,
|
|
||||||
grid_dict=grid_dict,
|
|
||||||
wghts=wghtf,
|
|
||||||
gdf=gdf,
|
|
||||||
gdf_poly_idx=poly_idx,
|
|
||||||
start_date="1980-01-01",
|
|
||||||
end_date="1980-12-31",
|
|
||||||
)
|
|
||||||
|
|
||||||
ngdf, nvals = eng.run(numdiv=1)
|
|
||||||
|
|
||||||
test_arr = np.asarray(
|
|
||||||
[
|
|
||||||
[3.5844913],
|
|
||||||
[0.0],
|
|
||||||
[43.21665],
|
|
||||||
[68.13543],
|
|
||||||
[83.542114],
|
|
||||||
[93.33581],
|
|
||||||
[49.084114],
|
|
||||||
[35.92661],
|
|
||||||
[26.799622],
|
|
||||||
[63.00365],
|
|
||||||
[50.600002],
|
|
||||||
[1.9948304],
|
|
||||||
]
|
|
||||||
)
|
|
||||||
|
|
||||||
np.testing.assert_allclose(test_arr, nvals[0])
|
|
||||||
|
|
||||||
with TemporaryDirectory() as tmpdirname:
|
|
||||||
success = eng.finalize(
|
|
||||||
gdf=ngdf,
|
|
||||||
vals=nvals,
|
|
||||||
p_opath=tmpdirname,
|
|
||||||
prefix="terraclimetest",
|
|
||||||
)
|
|
||||||
file = Path(tmpdirname) / "terraclimetest.nc"
|
|
||||||
assert success
|
|
||||||
assert file.exists()
|
|
||||||
Reference in New Issue
Block a user