Linting fixes

Author: jacobbieker

pvnet/models/multimodal/encoders/encoders3d.py

@@ -40,7 +40,8 @@ def __init__(
             fc_features: number of output nodes out of the hidden fully connected layer.
             spatial_kernel_size: The spatial size of the kernel used in the conv3d layers.
             temporal_kernel_size: The temporal size of the kernel used in the conv3d layers.
-            padding: The padding used in the conv3d layers. If an int, the same padding is used in all dimensions
+            padding: The padding used in the conv3d layers. If an int, the same padding
+                is used in all dimensions
         """
         super().__init__(sequence_length, image_size_pixels, in_channels, out_features)
         if isinstance(padding, int):

pvnet/models/multimodal/multimodal.py

@@ -103,8 +103,8 @@ def __init__(
                 `forecast_minutes` if not provided.
             nwp_history_minutes: Period of historical NWP forecast used as input. Defaults to
                 `history_minutes` if not provided.
-            pv_history_minutes: Length of recent site-level PV data data used as input. Defaults to
-                `history_minutes` if not provided.
+            pv_history_minutes: Length of recent site-level PV data data used as
+            input. Defaults to `history_minutes` if not provided.
             optimizer: Optimizer factory function used for network.
             target_key: The key of the target variable in the batch.
             interval_minutes: The interval between each sample of the target data
@@ -115,7 +115,8 @@ def __init__(
             sat_interval_minutes: The interval between each sample of the satellite data
             sensor_interval_minutes: The interval between each sample of the sensor data
             image_embedding_dim: The number of dimensions to use for the image embedding
-            timestep_intervals_to_plot: Intervals, in timesteps, to plot in addition to the full forecast
+            timestep_intervals_to_plot: Intervals, in timesteps, to plot in
+            addition to the full forecast
             sensor_encoder: Encoder for sensor data
             sensor_history_minutes: Length of recent sensor data used as input.
         """