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"""OCF Datapipes""" | ||
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import ocf_datapipes.batch | ||
import ocf_datapipes.convert | ||
import ocf_datapipes.experimental | ||
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""" Make fake batch """ | ||
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from datetime import datetime, timezone | ||
from typing import Optional, Union | ||
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""" Make fake GSP data """ | ||
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from datetime import datetime | ||
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import numpy as np | ||
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""" Make fake PV data """ | ||
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from datetime import datetime | ||
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import numpy as np | ||
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""" Utils Functions to for fake data """ | ||
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from datetime import timedelta | ||
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import numpy as np | ||
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"""Merge individual examples into a batch""" | ||
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import logging | ||
from typing import Sequence, Union | ||
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""" Loading configuration functions """ | ||
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import logging | ||
from typing import Union | ||
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""" Save functions for the configuration model""" | ||
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import json | ||
import logging | ||
from typing import Optional, Union | ||
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"""Convert coordinates Datapipes""" | ||
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from typing import Union | ||
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import xarray as xr | ||
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"""Convert GSP to Numpy Array""" | ||
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import logging | ||
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import numpy as np | ||
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"""Convert PV to Numpy""" | ||
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import numpy as np | ||
from torch.utils.data import IterDataPipe, functional_datapipe | ||
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"""Convert GSP to Numpy Batch""" | ||
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import logging | ||
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from torch.utils.data import IterDataPipe, functional_datapipe | ||
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"""Convert PV to Numpy Batch""" | ||
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import logging | ||
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import numpy as np | ||
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"""Convert PV to Numpy Batch""" | ||
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import logging | ||
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import numpy as np | ||
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"""Convert Wind to Numpy Batch""" | ||
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import logging | ||
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import numpy as np | ||
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"""Stacking Xarray objects to Numpy inputs""" | ||
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from typing import List | ||
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import numpy as np | ||
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"""Configuration Loader""" | ||
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import logging | ||
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from torch.utils.data.datapipes._decorator import functional_datapipe | ||
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"""GSP Loader""" | ||
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import datetime | ||
import logging | ||
from pathlib import Path | ||
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"""GSP Loader""" | ||
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import datetime | ||
import logging | ||
from pathlib import Path | ||
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""" Utils for GSP loading""" | ||
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import geopandas as gpd | ||
import numpy as np | ||
import pandas as pd | ||
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"""NWP Loader""" | ||
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import logging | ||
from pathlib import Path | ||
from typing import Union | ||
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"""ECMWF provider loaders""" | ||
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import pandas as pd | ||
import xarray as xr | ||
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"""Open GFS Forecast data""" | ||
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import logging | ||
from pathlib import Path | ||
from typing import Union | ||
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"""DWD ICON Loading""" | ||
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import pandas as pd | ||
import xarray as xr | ||
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"""UKV provider loaders""" | ||
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import numpy as np | ||
import pandas as pd | ||
import xarray as xr | ||
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"""Common NWP providers""" | ||
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import xarray as xr | ||
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""" Util functions for PV data source""" | ||
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from typing import Optional | ||
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import numpy as np | ||
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"""Satellite loader""" | ||
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import logging | ||
import subprocess | ||
from pathlib import Path | ||
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"""Loading sensor data (i.e. weather station, rainfall radar, etc.)""" | ||
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from .awos import OpenAWOSFromNetCDFIterDataPipe as OpenAWOSFromNetCDF |
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"""Load ASOS data from local files for training/inference""" | ||
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import logging | ||
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import fsspec | ||
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"""Load Topographic data""" | ||
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from pathlib import Path | ||
from typing import Union | ||
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"""Select channels""" | ||
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import logging | ||
from typing import List, Union | ||
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""" | ||
Drop PV systems which has only NaN's in a single day | ||
""" | ||
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import logging | ||
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import numpy as np | ||
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"""Select PV systems based off their capacity""" | ||
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from typing import Union | ||
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import numpy as np | ||
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"""Select time periods""" | ||
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import logging | ||
from typing import Union | ||
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"""Select time periods""" | ||
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import datetime | ||
import logging | ||
from typing import Union | ||
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"""Select overlapping time slices for training""" | ||
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import logging | ||
from typing import Iterable, Optional | ||
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