benchmark/analysis.py
def check_validity(dfs_list: List[List[pd.DataFrame]]):
    """
    Utility functions that checks whether the imported benchmark CSVs are valid
    :param dfs_list: list of list of CSVs represented as DataFrames
    """
    dfs_flat: List[pd.DataFrame] = list(chain.from_iterable(dfs_list))
    check_same_n_rows(dfs_flat)
    check_same_mst_outputs(dfs_flat)

    Utility functions that checks whether the imported benchmark CSVs are valid
    :param dfs_list: list of list of CSVs represented as DataFrames
    
Utility functions that checks whether the imported benchmark CSVs are valid
Utility functions that checks whether the imported benchmark CSVs are valid
def check_validity(dfs_list: List[List[pd.DataFrame]]):
    dfs_flat: List[pd.DataFrame] = list(chain.from_iterable(dfs_list))
    check_same_n_rows(dfs_flat)
    check_same_mst_outputs(dfs_flat)
def check_validity ( dfs_list : List [ List [ pd . DataFrame ] ] ) : dfs_flat : List [ pd . DataFrame ] = list ( chain . from_iterable ( dfs_list ) ) check_same_n_rows ( dfs_flat ) check_same_mst_outputs ( dfs_flat )
Utility functions that checks whether the imported benchmark CSVs are valid
Utility functions that checks whether the imported benchmark CSVs are valid
"""
    Utility functions that checks whether the imported benchmark CSVs are valid
    :param dfs_list: list of list of CSVs represented as DataFrames
    """
dfs_list
List[List[pd.DataFrame]]
list of list of CSVs represented as DataFrames
list of list of CSVs represented as DataFrames