Moved order of imports from prsdk to be below 3rd party but above rel…

…ative imports

use_cases/eluc/app/components/prediction.py

@@ -7,6 +7,7 @@
 from dash import dcc
 from dash import html
 import pandas as pd
+
 from prsdk.predictors.predictor import Predictor
 
 from app import constants as app_constants

use_cases/eluc/experiments/predictor_experiments.ipynb

@@ -21,12 +21,13 @@
     "from tqdm import tqdm\n",
     "import matplotlib.pyplot as plt\n",
     "from matplotlib.colors import LinearSegmentedColormap\n",
-    "from prsdk.predictors.predictor import Predictor\n",
     "import seaborn as sns\n",
     "\n",
     "from scipy.stats import ttest_1samp, ttest_ind\n",
     "from sklearn.metrics import mean_absolute_error\n",
     "\n",
+    "from prsdk.predictors.predictor import Predictor\n",
+    "\n",
     "from data.eluc_data import ELUCData\n",
     "from data import constants\n",
     "from persistence.serializers.neural_network_serializer import NeuralNetSerializer\n",

use_cases/eluc/persistence/persistors/hf_persistor.py

@@ -4,6 +4,7 @@
 from pathlib import Path
 
 from huggingface_hub import HfApi, snapshot_download
+
 from prsdk.persistence.persistors.persistor import Persistor
 
 

use_cases/eluc/persistence/serializers/neural_network_serializer.py

@@ -5,9 +5,10 @@
 from pathlib import Path
 
 import joblib
-from prsdk.persistence.serializers.serializer import Serializer
 import torch
 
+from prsdk.persistence.serializers.serializer import Serializer
+
 from predictors.neural_network.eluc_neural_net import ELUCNeuralNet
 from predictors.neural_network.neural_net_predictor import NeuralNetPredictor
 

use_cases/eluc/persistence/serializers/prescriptor_serializer.py

@@ -4,9 +4,10 @@
 import json
 from pathlib import Path
 
-from prsdk.persistence.serializers.serializer import Serializer
 import torch
 
+from prsdk.persistence.serializers.serializer import Serializer
+
 from data.eluc_encoder import ELUCEncoder
 from prescriptors.nsga2.candidate import Candidate
 from prescriptors.nsga2.land_use_prescriptor import LandUsePrescriptor

use_cases/eluc/persistence/serializers/sklearn_serializer.py

@@ -5,6 +5,7 @@
 from pathlib import Path
 
 import joblib
+
 from prsdk.persistence.serializers.serializer import Serializer
 
 from predictors.sklearn_predictor.sklearn_predictor import SKLearnPredictor

use_cases/eluc/predictors/custom/template/template_predictor.py

@@ -2,6 +2,7 @@
 See here for how to impelement a predictor:
 """
 import pandas as pd
+
 from prsdk.predictors.predictor import Predictor
 
 from data import constants

use_cases/eluc/predictors/neural_network/neural_net_predictor.py

@@ -7,14 +7,15 @@
 
 import numpy as np
 import pandas as pd
-from prsdk.predictors.predictor import Predictor
 from sklearn.preprocessing import StandardScaler
 from tqdm import tqdm
 
 import torch
 from torch.utils.data import DataLoader
 from torch.utils.tensorboard import SummaryWriter
 
+from prsdk.predictors.predictor import Predictor
+
 from data import constants
 from data.torch_data import TorchDataset
 from predictors.neural_network.eluc_neural_net import ELUCNeuralNet

use_cases/eluc/predictors/percent_change/percent_change_predictor.py

@@ -2,6 +2,7 @@
 Our heuristic model that calculates the percent change of land use from actions and context.
 """
 import pandas as pd
+
 from prsdk.predictors.predictor import Predictor
 
 from data import constants

use_cases/eluc/predictors/scoring/scorer.py

@@ -7,6 +7,7 @@
 from pathlib import Path
 
 import pandas as pd
+
 from prsdk.predictors.predictor import Predictor
 
 import data.constants as constants

use_cases/eluc/predictors/sklearn_predictor/sklearn_predictor.py

@@ -5,10 +5,11 @@
 from abc import ABC
 
 import pandas as pd
-from prsdk.predictors.predictor import Predictor
 from sklearn.linear_model import LinearRegression
 from sklearn.ensemble import RandomForestRegressor
 
+from prsdk.predictors.predictor import Predictor
+
 from data import constants
 
 

use_cases/eluc/prescriptors/heuristics/heuristics.py

@@ -4,6 +4,7 @@
 from abc import ABC, abstractmethod
 
 import pandas as pd
+
 from prsdk.prescriptors.prescriptor import Prescriptor
 
 from data import constants

use_cases/eluc/prescriptors/nsga2/land_use_prescriptor.py

@@ -3,10 +3,11 @@
 """
 import numpy as np
 import pandas as pd
-from prsdk.prescriptors.prescriptor import Prescriptor
 import torch
 from torch.utils.data import DataLoader
 
+from prsdk.prescriptors.prescriptor import Prescriptor
+
 from data import constants
 from data.eluc_data import ELUCEncoder
 from data.torch_data import TorchDataset

use_cases/eluc/prescriptors/nsga2/trainer.py

@@ -7,10 +7,11 @@
 from tqdm import tqdm
 import numpy as np
 import pandas as pd
-from prsdk.predictors.predictor import Predictor
 import torch
 from torch.utils.data import DataLoader
 
+from prsdk.predictors.predictor import Predictor
+
 from data import constants
 from data.eluc_data import ELUCEncoder
 from data.torch_data import TorchDataset

use_cases/eluc/prescriptors/prescriptor_manager.py

@@ -4,6 +4,7 @@
 Additionally handles the percent changed computation.
 """
 import pandas as pd
+
 from prsdk.predictors.predictor import Predictor
 from prsdk.prescriptors.prescriptor import Prescriptor