[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

experiments/008_24hour_forecast/forecast_24hour.py

@@ -1,4 +1,5 @@
 """ Script to load results from the database """
+
 import json
 from datetime import timedelta, timezone
 

gradboost_pv/__init__.py

@@ -1,2 +1,3 @@
 """Library for NationalBoost model"""
+
 __version__ = "1.0.29"

gradboost_pv/app.py

@@ -1,4 +1,5 @@
 """Script to simulate data read, model inference and prediction write"""
+
 import logging
 import os
 import pathlib

gradboost_pv/inference/data_feeds.py

@@ -1,4 +1,5 @@
 """Datafeeds for model inference"""
+
 import logging
 import os
 from dataclasses import dataclass
@@ -109,8 +110,9 @@ def __iter__(self) -> Iterator[xr.Dataset]:
             )
 
             if self.nwp_channels is not None:
-                logger.info(f"Selecting NWP channels: {self.nwp_channels} "
-                            f"from {nwp.variable.values}")
+                logger.info(
+                    f"Selecting NWP channels: {self.nwp_channels} " f"from {nwp.variable.values}"
+                )
                 nwp = nwp.sel(variable=self.nwp_channels)
 
             nwp = self._process_nwp_from_netcdf(nwp)
@@ -133,7 +135,6 @@ def xgnational_production(configuration_filename: Union[Path, str]) -> dict:
     nwp_datapipe = ProductionOpenNWPNetcdfIterDataPipe(
         configuration.input_data.nwp.nwp_zarr_path,
         nwp_channels=list(configuration.input_data.nwp.nwp_channels),
-
     )
     gsp_datapipe = OpenGSPFromDatabase(
         history_minutes=configuration.input_data.gsp.history_minutes,

gradboost_pv/inference/models.py

@@ -1,4 +1,5 @@
 """Models used for inference"""
+
 import logging
 from abc import ABC, abstractmethod
 from dataclasses import dataclass, field

gradboost_pv/inference/run.py

@@ -1,4 +1,5 @@
 """Model inference pipeline"""
+
 import logging
 from pathlib import Path
 from typing import Dict

gradboost_pv/inference/utils.py

@@ -1,4 +1,5 @@
 """ functions to filter forecasts on the sun """
+
 import logging
 from datetime import datetime, timezone
 from typing import List

gradboost_pv/models/base_line.py

@@ -1,4 +1,5 @@
 """Baseline NWP model with no NWP data"""
+
 from typing import Tuple
 
 import numpy as np

gradboost_pv/models/basic.py

@@ -1,4 +1,5 @@
 """Basic Model with single point downsampling"""
+
 from pathlib import Path
 from typing import Tuple
 

gradboost_pv/models/pretrained.py

@@ -1,4 +1,5 @@
 """Model built from pre-trained CNN passthrough"""
+
 from pathlib import Path
 from typing import Tuple
 

gradboost_pv/models/quadrant.py

@@ -1,4 +1,5 @@
 """Quadrant model - 4 point geospatial downsampling"""
+
 from pathlib import Path
 from typing import Tuple
 

gradboost_pv/models/region_filtered.py

@@ -1,4 +1,5 @@
 """Model using geospatial masking"""
+
 from pathlib import Path
 from typing import Tuple
 

gradboost_pv/models/s3.py

@@ -1,4 +1,5 @@
 """S3 Interaction Utilities"""
+
 import logging
 import os
 from io import BytesIO

gradboost_pv/models/training.py

@@ -1,4 +1,5 @@
 """Functions for model training"""
+
 import dataclasses
 import json
 from dataclasses import dataclass

gradboost_pv/models/utils.py

@@ -1,4 +1,5 @@
 """Model utilities"""
+
 import logging
 from pathlib import Path
 from typing import Callable, Tuple, Union

gradboost_pv/preprocessing/basic.py

@@ -1,4 +1,5 @@
 """Basic NWP Preprocessing"""
+
 from pathlib import Path
 from typing import Optional
 

gradboost_pv/preprocessing/pretrained.py

@@ -1,4 +1,5 @@
 """Process NWP data with pretrained model"""
+
 from math import ceil, floor
 from pathlib import Path
 from typing import Callable, Iterable, Iterator, Optional, Tuple

gradboost_pv/preprocessing/quadrant_downsample.py

@@ -1,4 +1,5 @@
 """Quadrant downsampling preprocessing"""
+
 from pathlib import Path
 from typing import Optional
 

gradboost_pv/preprocessing/region_filtered.py

@@ -1,4 +1,5 @@
 """Preprocess NWP data using geospatial mask"""
+
 import itertools
 import logging
 import multiprocessing as mp

gradboost_pv/save.py

@@ -1,4 +1,5 @@
 """ Function to save results to datbase """
+
 import logging
 
 import pandas as pd

gradboost_pv/utils/logger.py

@@ -1,4 +1,5 @@
 """Configure logging"""
+
 import logging
 
 logging_config = dict(

gradboost_pv/utils/typing.py

@@ -1,4 +1,5 @@
 """Basic types used in package"""
+
 from typing import Union
 
 import numpy as np

scripts/inference/mock_setup.py

@@ -1,4 +1,5 @@
 """Script to simulate data read, model inference and prediction write"""
+
 from argparse import ArgumentParser
 from pathlib import Path
 from typing import Callable, Tuple

scripts/models/grid_search_hyperparams.py

@@ -1,4 +1,5 @@
 """Script for Hyperparameter gridsearch"""
+
 import pickle
 from argparse import ArgumentParser
 from pathlib import Path

scripts/models/train/region_filtered_model.py

@@ -1,4 +1,5 @@
 """Model training script"""
+
 import logging
 from argparse import ArgumentParser, BooleanOptionalAction
 from pathlib import Path

scripts/preprocessing/basic.py

@@ -1,4 +1,5 @@
 """Script to process using Basic downsampling"""
+
 from argparse import ArgumentParser
 from pathlib import Path
 

scripts/preprocessing/pretrained.py

@@ -1,4 +1,5 @@
 """Script for preprocessing NWP with pretrained CNN"""
+
 from argparse import ArgumentParser
 from math import ceil
 from pathlib import Path

scripts/preprocessing/quadrant_downsample.py

@@ -1,4 +1,5 @@
 """Script to perform quadrant downsampling of NWP data."""
+
 from argparse import ArgumentParser
 from pathlib import Path
 

scripts/preprocessing/uk_region_downsample.py

@@ -1,4 +1,5 @@
 """Script for processing raw NWP data"""
+
 import datetime as dt
 import itertools
 from argparse import ArgumentParser

setup.py

@@ -1,4 +1,5 @@
 """ Usual setup file for package """
+
 # read the contents of your README file
 from pathlib import Path
 

tests/conftest.py

@@ -1,4 +1,5 @@
 """ Configure and load test NWP/PV data """
+
 from pathlib import Path
 from typing import List
 

tests/inference/conftest.py

@@ -1,4 +1,5 @@
 """Generate s3 client, and model configs for testing"""
+
 from pathlib import Path
 
 import pytest