Determine if the data point is valid Args: data: a single scaler or numpy array Returns: True if all the data points are

Helper function to retrieve the nan value for a certain field as defined in the power_grid_meta_data.

Check if component_data is columnar or row based

isinf

getter

Get the info for this dataset. Returns: The dataset info for this dataset.

we decided to go with the same behavior between `add_attribute_buffer` and `set_attribute_buffer` (but different entrypoints). The behavior of `se

Assert there is no error in the last operation If there is an error, raise it Args: batch_size (int, optional): Size of batch. D

Copy the current model Returns: A copy of PowerGridModel

Check if component_data is sparse or dense. Only batch data can be sparse.

The amount of components in the dataset. Returns: The amount of components in the dataset

error handling

Temporary function to transform row, column or mixed based datasets to a full row or column based dataset as per the data_filter. The purpose of t

namespace

set complete construction initialize internal arrays

A field expression can either be the name of a field (e.g. 'field_x') in the data, or a ratio between two fields (e.g. 'field_x / field_y').

For each component supplied in the data, call the appropriate validation function Args: data: A power-grid-model input dataset

Convert batch datasets to a list of individual batches Args: batch_data: a batch dataset for power-grid-model dataset_type: