wfcommons.utils

class wfcommons.utils.NoValue(value)

Bases: enum.Enum

An enumeration.

wfcommons.utils.best_fit_distribution(data: List[float], logger: Optional[logging.Logger] = None) → Tuple

Fit a list of values to a distribution.

Parameters

• data (List[float]) – List of values to be fitted to a distribution.

• logger (Logger) – The logger uses to output debug information.

Returns

The name of the distribution and its parameters.

Return type

Tuple

wfcommons.utils.generate_rvs(distribution: Dict, min_value: float, max_value: float) → float

Generate a random variable from a distribution.

Parameters

• distribution (Dict) – Distribution dictionary (name and parameters).

• min_value (float) – Minimum value accepted as a random variable.

• max_value (float) – Maximum value accepted as a random variable.

Returns

Random variable generated from a distribution.

Return type

float

wfcommons.utils.ncr(n: int, r: int) → int

Calculate the number of combinations.

Parameters

• n (int) – The number of items.

• r (int) – The number of items being chosen at a time.

Returns

The number of combinations.

Return type

int

wfcommons.utils.read_json(instance_filename: pathlib.Path) → Dict[str, Any]

Read the JSON from the file path.

Parameters

instance_filename (str) – The absolute path of the instance file.

Returns

The json object loaded with json data from the file

Return type

Dict[str, Any]