Initial feedstock commit with conda-smithy 3.21.1.
This commit is contained in:
nidichaogequ
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{}
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{% set name = "gdptools" %}
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{% set version = "0.0.15.dev0" %}
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package:
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name: {{ name|lower }}
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version: {{ version }}
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source:
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url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/gdptools-{{ version }}.tar.gz
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sha256: c21cae1bbd2edb69dbe815078c07fc8e74fde0f0608d6efa12cdc52cdbdb251e
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build:
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entry_points:
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- gdptools = gdptools.__main__:main
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noarch: python
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script: {{ PYTHON }} -m pip install . -vv
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number: 0
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requirements:
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host:
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- python >=3.6,<3.10
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- pip
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- poetry-core >=1.0.0
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run:
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- python >=3.6,<3.10
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- python-attr >=0.3.2,<0.4.0
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# - geopandas ==0.11.1
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- geopandas
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- netcdf4 >=1.5.8,<2.0.0
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- numpy >=1.22.4,<2.0.0
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- cftime >=1.6.0,<2.0.0
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- click <8
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- pydap >=3.2.2,<4.0.0
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- pandas >=1.4.2,<2.0.0
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- scipy >=1.8.1,<2.0.0
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# - shapely ==1.8.4
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- shapely
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- pystac >=1.4.0,<2.0.0
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# - pyproj >=3.3.1,<4.0.0
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- pyproj
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- zarr >=2.11.3,<3.0.0
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- pygeoapi >=0.11.0,<0.12.0
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- rioxarray >=0.11.1,<0.12.0
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- rasterstats >=0.16.0,<0.17.0
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- intake >=0.6.5,<0.7.0
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- rasterio >=1.2.10,<2.0.0
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- metpy >=1.3.0,<2.0.0
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- dask-core >=2022.6.0,<2023.0.0
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- xarray >=2022.3.0,<2023.0.0
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# - pygeos ==0.12.0
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- pygeos
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- requests >=2.28.0,<3.0.0
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test:
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files:
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- tests/
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requires:
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- pip
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- pytest
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imports:
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- gdptools
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commands:
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# Some of the pins are too aggressive making the package impossible to install.
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# - pip check
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- gdptools --help
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- pytest -s -rxs -v tests/
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about:
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home: https://code.usgs.gov/wma/nhgf/toolsteam/gdptools
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summary: Gdptools
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license: Unlicense
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license_file:
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- LICENSE.md
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extra:
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recipe-maintainers:
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- ocefpaf
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"""Test suite for the gdptools package."""
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@@ -0,0 +1,69 @@
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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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803,1217,26,6,9.795885452624786e-05
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||||
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||||
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||||
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||||
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||||
832,1217,25,2,5.2628649115467694e-06
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||||
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||||
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||||
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|
||||
836,1217,31,3,8.48290455225462e-06
|
||||
|
@@ -0,0 +1,163 @@
|
||||
{
|
||||
"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
|
||||
}
|
||||
@@ -0,0 +1 @@
|
||||
UTF-8
|
||||
Binary file not shown.
@@ -0,0 +1 @@
|
||||
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]]
|
||||
@@ -0,0 +1,26 @@
|
||||
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|
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|
||||
<identifier></identifier>
|
||||
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|
||||
<language></language>
|
||||
<type>dataset</type>
|
||||
<title></title>
|
||||
<abstract></abstract>
|
||||
<links/>
|
||||
<fees></fees>
|
||||
<encoding></encoding>
|
||||
<crs>
|
||||
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|
||||
<wkt></wkt>
|
||||
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|
||||
<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.
@@ -0,0 +1 @@
|
||||
UTF-8
|
||||
Binary file not shown.
@@ -0,0 +1 @@
|
||||
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]]
|
||||
@@ -0,0 +1,26 @@
|
||||
<!DOCTYPE qgis PUBLIC 'http://mrcc.com/qgis.dtd' 'SYSTEM'>
|
||||
<qgis version="3.22.5-Bia?owie?a">
|
||||
<identifier></identifier>
|
||||
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|
||||
<language></language>
|
||||
<type>dataset</type>
|
||||
<title></title>
|
||||
<abstract></abstract>
|
||||
<links/>
|
||||
<fees></fees>
|
||||
<encoding></encoding>
|
||||
<crs>
|
||||
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|
||||
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|
||||
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|
||||
<ellipsoidacronym></ellipsoidacronym>
|
||||
<geographicflag>false</geographicflag>
|
||||
</spatialrefsys>
|
||||
</crs>
|
||||
<extent/>
|
||||
</qgis>
|
||||
Binary file not shown.
Binary file not shown.
@@ -0,0 +1 @@
|
||||
UTF-8
|
||||
Binary file not shown.
@@ -0,0 +1 @@
|
||||
GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]]
|
||||
@@ -0,0 +1,43 @@
|
||||
<!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.
@@ -0,0 +1,95 @@
|
||||
,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
|
||||
|
@@ -0,0 +1,15 @@
|
||||
"""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",
|
||||
)
|
||||
@@ -0,0 +1,138 @@
|
||||
"""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)
|
||||
@@ -0,0 +1,128 @@
|
||||
"""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)
|
||||
@@ -0,0 +1,17 @@
|
||||
"""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
|
||||
@@ -0,0 +1,127 @@
|
||||
"""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