[deprecated] Import json data. **WARNING:** This function is deprecated. Please use json_deserialize_from_file instead. Args: j

Dump data to a JSON str. If the dataset_type is not specified or None, it will be deduced from the dataset if possible. Deduction is not

Load the deserialized data to a new dataset. Raises: ValueError: if the data is inconsistent with the rest of the datase

Checks valid type for data_filter. Also checks for any invalid component names and attribute names. Args: dataset_type (DatasetType): the

set nan

Set the next dataset in the linked list. Args: next_dataset: The next dataset to set.

setter

getter for load type

The input dataset is validated: 1. Is the data structure correct? (checking data types and numpy array shapes) 2. Are all input

Checks if all ids of the components in the update data: - exist and match those in the input data - are not present but qualifies for o

Checks if all required data is available. Args: data: A power-grid-model input dataset calculation_type: Supply a calculatio

run calculation

Get a raw view on the data. Args: data: the data. schema: the schema the raw buffer should obey. Returns: a raw

Check that for all records of a particular type of component, the values in the 'field' column are (exclusively) between reference value 1 an

Check that for all records of a particular type of component, the values in the 'field' column are valid values for the supplied enum class.

append to element vector

Recursively walk through the values and references, assert almost equal. Correctly handle: * Both the sparse and dense data representations

build topology

Convert native python data to internal numpy Args: data: data in dict or list data_type: type of data: input, update, sym_ou

Get a C API compatible view on a buffer. Args: data: the data. schema: the schema that the data should obey. is_batc

Get the number of scenarios in the batch dataset. Args: dataset: the batch dataset Raises: ValueError: if the batch dat

get individual dataset from batch

symmetric component matrix

Helper function that generates multi field validation errors if a subset of the supplied fields is missing. If for an instance of component t

Constructs the dfs_matrix and the extended_rhs for the set of solutions. The dfs_matrix is constructed from the matrix rows associated with the free c

setter for u_ref

update node, nothing happens here

create and destroy handle

Core calculation routine Args: calculation_type: symmetric: update_data: output_comp

returns indptr and checks if its valid Args: data (ComponentData): The component data Raises: TypeError: if indptr is invali

Checks if all required data is available. Args: data: A power-grid-model input dataset required: a list of required fields (

Check that for all records in all component, the values in all columns are finite value, i.e. float values other than inf, or -inf. Nan value

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