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

Check that for all records of a particular type of component, the values in the 'field' column are identical. Args: data (SingleData

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

Custom validation rule: Only a subset of fault_phases is supported for each fault type. Args: data (SingleDataset): The input/update

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

Sparse mapping technique using counting sort: https://en.wikipedia.org/wiki/Counting_sort Given a input idx array: idx_B_in_A[...] to couple an array

Var(f_i) ≈ \Sum_j Var(x_j) * ||df_i/dx_j||^2 // first order + 1/2 * \Sum_{jk} Var(x_j) * ||d^2 f_i/dx_jdx_k||^2 Var(x_k)

Dump the data in the recommended data format (e.g. str or bytes, depending on the serialization_type). Args: *: any seri

this function exceeds the reasonable threshold of 800 statements NOLINTNEXTLINE(readability-function-size,google-readability-function-size,hicpp-funct

Determine the number of batches for each component and verify that each component has the same number of batches Args: batch_data: a

Determine the number of batches and verify the data structure while we're at it. Note only batch data is supported. Note: SingleColumnarData

Get list of buffer views Returns: list of buffer view

Find out if deserialization of serialized_input would contain at least one component with row based data

Load and deserialize a msgpack file to a new dataset. Args: stream: the Binary IO stream to the file to load and deserialize. R

Dump the data to raw msgpack bytes. If the dataset_type is not specified or None, it will be deduced from the dataset if possible. Deduc

Export msgpack data in most recent format. Args: stream: the Binary IO stream to the file to load and deserialize. data: a s

Helper function that generates a multi field validation error if: all values specified by the fields parameters are missing. Args:

linear solve path getters: x0 = Ur, x1 = Ui and Eq0 = Real, Eq1 = Imag System: [[G, -B], [B, G]] * [Ur, Ui]^T = [Ir, Ii]^T

Setters

build topo

* @brief Updates the admittance of the y_bus according to what's changed in math_model. * * @param math_model_param Shared pointer to the co

Checks if all ids in the input dataset are unique Args: data: A power-grid-model input dataset Returns: An empty list i

Wrapper function that checks the type of the 'expression'. If the expression is a string, it is assumed to be a field expression and the expr

Get C API compatible views on attribute buffers. Args: data (dict[AttributeType, np.ndarray]): the data. schema (ComponentMe

Extract the properties of the uniform batch dataset component. Args: data (ComponentData): the dataset component. schema (Co

Given array of values from a source and a target dataset. Find the position of each value in the target dataset in the context of the source

Get a mask based on the specified filters. E.g. measured_terminal_type=MeasuredTerminalType.source. Args: data: The input/update dat

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