convert ipynb to py
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parent
36fbc53289
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@ -136,8 +136,8 @@ rule determine_availability_matrix_MD_UA:
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ATLITE_NPROCESSES
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resources:
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mem_mb=ATLITE_NPROCESSES * 5000
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notebook:
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"scripts/determine_availability_matrix_MD_UA.py.ipynb"
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script:
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"scripts/determine_availability_matrix_MD_UA.py"
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rule retrieve_load_data:
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input:
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127
scripts/determine_availability_matrix_MD_UA.py
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127
scripts/determine_availability_matrix_MD_UA.py
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@ -0,0 +1,127 @@
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#!/usr/bin/env python
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# coding: utf-8
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# In[ ]:
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import progressbar as pgb
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import geopandas as gpd
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import xarray as xr
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import numpy as np
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import functools
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import atlite
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import logging
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import time
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import matplotlib.pyplot as plt
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from _helpers import mock_snakemake
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from _helpers import configure_logging
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logger = logging.getLogger(__name__)
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if __name__ == "__main__":
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if "snakemake" not in globals():
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from _helpers import mock_snakemake
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snakemake = mock_snakemake(
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"determine_availability_matrix_MD_UA", technology="solar"
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)
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configure_logging(snakemake)
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pgb.streams.wrap_stderr()
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nprocesses = snakemake.config["atlite"].get("nprocesses")
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noprogress = not snakemake.config["atlite"].get("show_progress", True)
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config = snakemake.config["renewable"][snakemake.wildcards.technology]
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cutout = atlite.Cutout(snakemake.input["cutout"])
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regions = (
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gpd.read_file(snakemake.input.regions).set_index("name").rename_axis("bus")
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)
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buses = regions.index
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excluder = atlite.ExclusionContainer(crs=3035, res=100)
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corine = config.get("corine", {})
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if "grid_codes" in corine:
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# Land cover codes to emulate CORINE results
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if snakemake.wildcards.technology == "solar":
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codes = [20, 30, 40, 50, 60, 90, 100]
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elif snakemake.wildcards.technology == "onwind":
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codes = [
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20,
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30,
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40,
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60,
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100,
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111,
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112,
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113,
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114,
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115,
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116,
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121,
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122,
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123,
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124,
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125,
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126,
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]
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elif snakemake.wildcards.technology == "offshore-ac":
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codes = [80, 200]
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elif snakemake.wildcards.technology == "offshore-dc":
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codes = [80, 200]
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else:
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assert False, "technology not supported"
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excluder.add_raster(
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snakemake.input.copernicus, codes=codes, invert=True, crs="EPSG:4326"
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)
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if "distance" in corine and corine.get("distance", 0.0) > 0.0:
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# Land cover codes to emulate CORINE results
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if snakemake.wildcards.technology == "onwind":
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codes = [50]
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else:
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assert False, "technology not supported"
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buffer = corine["distance"]
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excluder.add_raster(
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snakemake.input.copernicus, codes=codes, buffer=buffer, crs="EPSG:4326"
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)
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if "max_depth" in config:
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# lambda not supported for atlite + multiprocessing
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# use named function np.greater with partially frozen argument instead
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# and exclude areas where: -max_depth > grid cell depth
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func = functools.partial(np.greater, -config["max_depth"])
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excluder.add_raster(snakemake.input.gebco, codes=func, crs=4236, nodata=-1000)
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if "min_shore_distance" in config:
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buffer = config["min_shore_distance"]
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excluder.add_geometry(snakemake.input.country_shapes, buffer=buffer)
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if "max_shore_distance" in config:
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buffer = config["max_shore_distance"]
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excluder.add_geometry(
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snakemake.input.country_shapes, buffer=buffer, invert=True
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)
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kwargs = dict(nprocesses=nprocesses, disable_progressbar=noprogress)
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if noprogress:
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logger.info("Calculate landuse availabilities...")
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start = time.time()
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availability = cutout.availabilitymatrix(regions, excluder, **kwargs)
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duration = time.time() - start
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logger.info(f"Completed availability calculation ({duration:2.2f}s)")
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else:
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availability = cutout.availabilitymatrix(regions, excluder, **kwargs)
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# Limit results only to buses for UA and MD
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buses = regions.loc[regions["country"].isin(["UA", "MD"])].index.values
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availability = availability.sel(bus=buses)
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# Save and plot for verification
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availability.to_netcdf(snakemake.output["availability_matrix"])
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# availability.sum(dim="bus").plot()
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# plt.title(technology)
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# plt.show()
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@ -1,154 +0,0 @@
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "1f7daec4",
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"metadata": {},
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"outputs": [],
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"source": [
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"import progressbar as pgb\n",
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"import geopandas as gpd\n",
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"import xarray as xr\n",
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"import numpy as np\n",
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"import functools\n",
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"import atlite\n",
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"import logging\n",
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"import time\n",
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"import matplotlib.pyplot as plt\n",
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"from _helpers import mock_snakemake\n",
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"\n",
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"from _helpers import configure_logging\n",
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"\n",
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"logger = logging.getLogger(__name__)\n",
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"\n",
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"if __name__ == \"__main__\":\n",
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" if \"snakemake\" not in globals():\n",
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" from _helpers import mock_snakemake\n",
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"\n",
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" snakemake = mock_snakemake(\n",
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" \"determine_availability_matrix_MD_UA\", technology=\"solar\"\n",
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" )\n",
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" configure_logging(snakemake)\n",
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" pgb.streams.wrap_stderr()\n",
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"\n",
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" nprocesses = snakemake.config[\"atlite\"].get(\"nprocesses\")\n",
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" noprogress = not snakemake.config[\"atlite\"].get(\"show_progress\", True)\n",
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" config = snakemake.config[\"renewable\"][snakemake.wildcards.technology]\n",
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"\n",
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" cutout = atlite.Cutout(snakemake.input[\"cutout\"])\n",
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" regions = (\n",
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" gpd.read_file(snakemake.input.regions).set_index(\"name\").rename_axis(\"bus\")\n",
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" )\n",
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" buses = regions.index\n",
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"\n",
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" excluder = atlite.ExclusionContainer(crs=3035, res=100)\n",
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"\n",
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" corine = config.get(\"corine\", {})\n",
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" if \"grid_codes\" in corine:\n",
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" # Land cover codes to emulate CORINE results\n",
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" if snakemake.wildcards.technology == \"solar\":\n",
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" codes = [20, 30, 40, 50, 60, 90, 100]\n",
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" elif snakemake.wildcards.technology == \"onwind\":\n",
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" codes = [\n",
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" 20,\n",
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" 30,\n",
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" 40,\n",
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" 60,\n",
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" 100,\n",
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" 111,\n",
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" 112,\n",
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" 113,\n",
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" 114,\n",
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" 115,\n",
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" 116,\n",
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" 121,\n",
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" 122,\n",
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" 123,\n",
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" 124,\n",
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" 125,\n",
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" 126,\n",
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" ]\n",
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" elif snakemake.wildcards.technology == \"offshore-ac\":\n",
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" codes = [80, 200]\n",
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" elif snakemake.wildcards.technology == \"offshore-dc\":\n",
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" codes = [80, 200]\n",
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" else:\n",
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" assert False, \"technology not supported\"\n",
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"\n",
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" excluder.add_raster(\n",
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" snakemake.input.copernicus, codes=codes, invert=True, crs=\"EPSG:4326\"\n",
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" )\n",
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" if \"distance\" in corine and corine.get(\"distance\", 0.0) > 0.0:\n",
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" # Land cover codes to emulate CORINE results\n",
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" if snakemake.wildcards.technology == \"onwind\":\n",
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" codes = [50]\n",
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" else:\n",
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" assert False, \"technology not supported\"\n",
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"\n",
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" buffer = corine[\"distance\"]\n",
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" excluder.add_raster(\n",
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" snakemake.input.copernicus, codes=codes, buffer=buffer, crs=\"EPSG:4326\"\n",
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" )\n",
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"\n",
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" if \"max_depth\" in config:\n",
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" # lambda not supported for atlite + multiprocessing\n",
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" # use named function np.greater with partially frozen argument instead\n",
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" # and exclude areas where: -max_depth > grid cell depth\n",
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" func = functools.partial(np.greater, -config[\"max_depth\"])\n",
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" excluder.add_raster(snakemake.input.gebco, codes=func, crs=4236, nodata=-1000)\n",
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"\n",
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" if \"min_shore_distance\" in config:\n",
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" buffer = config[\"min_shore_distance\"]\n",
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" excluder.add_geometry(snakemake.input.country_shapes, buffer=buffer)\n",
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"\n",
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" if \"max_shore_distance\" in config:\n",
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" buffer = config[\"max_shore_distance\"]\n",
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" excluder.add_geometry(\n",
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" snakemake.input.country_shapes, buffer=buffer, invert=True\n",
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" )\n",
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"\n",
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" kwargs = dict(nprocesses=nprocesses, disable_progressbar=noprogress)\n",
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" if noprogress:\n",
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" logger.info(\"Calculate landuse availabilities...\")\n",
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" start = time.time()\n",
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" availability = cutout.availabilitymatrix(regions, excluder, **kwargs)\n",
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" duration = time.time() - start\n",
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" logger.info(f\"Completed availability calculation ({duration:2.2f}s)\")\n",
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" else:\n",
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" availability = cutout.availabilitymatrix(regions, excluder, **kwargs)\n",
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"\n",
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" # Limit results only to buses for UA and MD\n",
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" buses = regions.loc[regions[\"country\"].isin([\"UA\", \"MD\"])].index.values\n",
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" availability = availability.sel(bus=buses)\n",
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"\n",
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" # Save and plot for verification\n",
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" availability.to_netcdf(snakemake.output[\"availability_matrix\"])\n",
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" # availability.sum(dim=\"bus\").plot()\n",
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" # plt.title(technology)\n",
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" # plt.show()"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "",
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"language": "python",
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"name": ""
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.12"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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