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import datacube | |
import sys | |
import itertools | |
import numpy as np | |
import os | |
from datacube.drivers.netcdf import write_dataset_to_netcdf | |
# Code from: https://ncar.github.io/xdev/posts/writing-multiple-netcdf-files-in-parallel-with-xarray-and-dask/ | |
def split_by_chunks(dataset): |
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{"18957.0": 4719999.912807265, "19739.0": 63749.99732444094, "20472.0": 871250.0276801381, "20574.0": 8750.00607883609, "20710.0": 79999.99018715195, "20736.0": 130625.11269859812, "20740.0": 208749.97853582955, "20742.0": 4375.00072519131, "20770.0": 9375.02748461089, "20778.0": 523124.99030391785, "20779.0": 31874.999000900378, "20780.0": 42499.99675271202, "20795.0": 120624.96323982326, "20796.0": 231249.8288478491, "20798.0": 250625.04962768898, "20800.0": 3750.0012397314194, "20814.0": 3496250.1213005986, "20833.0": 161875.0247962468, "20835.0": 311249.76026900136, "20870.0": 1970624.4366556183, "21008.0": 27585625.902393483, "21009.0": 388124.7606647624, "21010.0": 679999.9723642934, "21011.0": 169375.010526169, "21013.0": 676249.9208642985, "21016.0": 894999.911322775, "21017.0": 1159375.6560276686, "21018.0": 2969375.0783659313, "21022.0": 458750.1176289106, "21029.0": 163124.9217924903, "21030.0": 729999.9861395892, "21031.0": 458124.75947191345, "21033.0": 57499.95898184181, "21034.0": 84374.9645932 |
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{"18957.0": ["r68uxwcrg", "r68uz4tn6", "r68uz5rvb", "r68uzm0e3", "r68uzscun", "r69h9phfb", "r69hcbumf", "r69hcj1wb", "r69j1bved"], "19739.0": ["r68u7qhrr"], "20472.0": ["r68u7sv7k", "r68u7t0ye", "r68ue3zc9", "r68uk1g7f"], "20574.0": ["r6de8zc8e"], "20710.0": ["r69qnp4gu", "r69qq0e4q", "r69qq0w27"], "20736.0": ["r69qjfnft", "r69qjvpdx", "r69qnj69g"], "20740.0": ["r69jnke4u", "r69jnmssr", "r69jnmwxt", "r69jnud35", "r69jnvk7k", "r69jnvwsr", "r69jnyye0"], "20742.0": ["r68uz79zz"], "20770.0": ["r69qrh45z"], "20778.0": ["r69hgvet5", "r69hgy01x", "r69j52zn5", "r69j5b6t3", "r69j5bks9"], "20779.0": ["r69hg4tw2", "r69hg5nt1", "r69hg7g7e", "r69j58h4m"], "20780.0": ["r69m75qs5"], "20795.0": ["r69hcx9su", "r69hcxqcp"], "20796.0": ["r69m0km1y", "r69m0rmn0", "r69m0x5qf", "r69m20dbp"], "20798.0": ["r69hup770", "r69jh82p4"], "20800.0": ["r69mueujc"], "20814.0": ["r69w0rdr3", "r69w3r4tg", "r69w82kh9", "r69w83kzx", "r69w89u9p"], "20833.0": ["r69m6z76m"], "20835.0": ["r69m6myz3", "r69m6qzqn", "r69m6rpxh", "r69m6ty75", "r69m6w3k9 |