Extract the properties of the sparse batch dataset component. Args: data (ComponentData): the sparse dataset component. sche

This function returns the valid IDs specified by all ref_components. Args: data: The input/update data set for all components

This function sets the default value in the data that is to be validated, so the default values are included in the validation. Args:

Split a single dense numpy array into one or more batches Args: data: A 1D or 2D Numpy structured array. A 1D array is a single tabl

Check that either `p_sigma` and `q_sigma` are all provided, or that `power_sigma` is provided. Args: data: SingleDataset, pgm data

Check that for all records of a particular type of component, the values in the 'field' column are valid boolean values, i.e. 0 or 1. Returns

Check that for all records of a particular type of component, the values in the 'field' column are unique within the 'field' column of that c

Check that for all records of a particular type of component, the values in the 'field' column are identical. Only entries are checked where

Check that for all records of a particular type of component, the values in the 'field' column are greater than, or equal to zero. Returns an

Check that for all records of a particular type of component, the values in the 'field' column are greater than zero. Returns an empty list o

Check that for all records of a particular type of component, the values in the 'field' column are less than, or equal to the reference value

Check that for all records of a particular type of component, the values in the 'field' column are less than the reference value. Returns an

Check that for all records of a particular type of component, the values in the 'field_1' and 'field_2' column are not both the same value. E

Check that for all records of a particular type of component, the values in the 'field_1' and 'field_2' column are not both zero. Returns an

Assert value contains only NaN-like values. Depending on type, maps to np.nan, -127, na_IntID, etc.

Assert the dataset correctly reprensents the input data.

Check a SingleDataset's individual components for correctness

Gives out dtype of the attribute to be used in a columnar data format Args: data_type (DatasetTypeLike): The type of dataset (input, upda

Returns the empty value for a specific attribute in the Power Grid Model. Args: data_type (DatasetTypeLike): The type of dataset (in

The attribute indications in the dataset. Returns: A map of component to its attribute indications. None mea

The size of the dataset. Returns: The size of the dataset

Batch calculation, propagating the results to result_data Run the calculation function in batch on the provided update data. The calculation

Checks if component_data is of ComponentData and raises ValueError if its not

Convert internal numpy arrays to native python data If an attribute is not available (NaN value), it will not be exported. Args:

Convert internal numpy arrays to native python data If an attribute is not available (NaN value), it will not be exported. Args:

[deprecated] Export json data in a deprecated serialization format. **WARNING:** This function is deprecated. Please use json_serialize_to_f

Check if there is an error and return it Args: batch_size: (int, optional): Size of batch. Defaults to 1. decode_error (bool

Get the number of elements in the comp_data of a single dataset. Args: comp_data: Columnar or row based data of a single batch

Determine the number of batch scenarios and verify the data structure Args: data_array: batch data for power-grid-model Returns

Get the output type based on the provided arguments. Args: calculation_type: request the output type for a specific calc

Checks if attribute is being filtered out / excluded

NOLINTNEXTLINE(readability-convert-member-functions-to-static) // mocks non-static functions

getter mean angle shift