nextnanoevo.utils package

Submodules

nextnanoevo.utils.jsonHandler module

class nextnanoevo.utils.jsonHandler.JsonHandler(file_path, directory=None)

Bases: object

A utility class for handling JSON files. The current implementation is not thread safe (not good for parallel execution). FOR DEVELOPERS: in the future, consider using a thread-safe implementation, by locking the file when writing to it.

Args:: file_path (str): The path to the JSON file. directory (str, optional): The directory where the JSON file is located. Defaults to None.
Attributes:: file_path (str): The absolute path to the JSON file.
Methods:: load_data: Loads the data from the JSON file. write_data: Writes data to the JSON file. add_data: Adds new data to the JSON file.

Methods

`add_data`(path, new_data)	Adds new data to the JSON file.
`load_data`()	Loads the data from the JSON file.
`write_data`(data)	Writes data to the JSON file.

add_data(path, new_data)

Adds new data to the JSON file.

Args:: path (str): The path to the location where the new data should be added. new_data (any): The new data to be added.
Raises:: ValueError: If the key already exists in the specified path.

load_data()

Loads the data from the JSON file.

Returns:: dict: The loaded data from the JSON file, or an empty dictionary if the file doesn’t exist.

write_data(data)

Writes data to the JSON file.

Args:: data (dict): The data to be written to the JSON file.

nextnanoevo.utils.logger module

nextnanoevo.utils.logger.create_simulation_files(directory=None)

nextnanoevo.utils.logger.create_simulation_logger(directory=None, logger_name='Simulation_00_00_00')

nextnanoevo.utils.utils module

nextnanoevo.utils.utils.are_same_functions(func1, func2)

nextnanoevo.utils.utils.convert_json_to_arrays_evolution(json_data)

Converts the JSON data to numpy arrays for the evolution process.

Parameters: - json_data (dict): The JSON data containing the simulation results.

Returns: - headers (list): The list of column headers for the numpy array. - array (numpy.ndarray): The numpy array containing the converted data.

nextnanoevo.utils.utils.dominates(fitness_a, fitness_b): Check if fitness_a dominates fitness_b.

nextnanoevo.utils.utils.extract_non_dominated_indices_from_fitness(fitness_values)

nextnanoevo.utils.utils.extract_non_dominated_solutions(pop)

nextnanoevo.utils.utils.extract_non_dominated_solutions_indices(pop)

nextnanoevo.utils.utils.filter_non_dominated_solutions(solution_values, fitness_values)

nextnanoevo.utils.utils.get_last_generation_from_json_log(dict_log): Returns the last generation from the json log.

nextnanoevo.utils.utils.pareto_message(keep_front)

nextnanoevo.utils.utils.unique_file_path(file_path, max_attempts=10000): Returns a unique file path. If the provided file path exists, appends a number to the end (before the file extension) to make it unique. Exits if the counter exceeds max_attempts.