Source code for symmetria.generators.api

from typing import List, Generator

__all__ = ["permutation_generator"]

_SUPPORTED_ALGORITHM: List[str] = [
    "lexicographic",
]


[docs] def permutation_generator(degree: int, algorithm: str = "lexicographic") -> Generator["Permutation", None, None]: """Generate all the permutations of the degree based on the chosen algorithm. The method generates all the permutations of the given degree using the specified algorithm. :param degree: The degree of the permutations to be generated. Must be a non-zero positive integer. :type degree: int :param algorithm: The algorithm to use for generating permutations. Default is "lexicographic". :type algorithm: str, optional :return: A generator yielding permutations. :rtype: Generator["Permutation", None, None] :raises ValueError: If the algorithm is not supported or the degree is invalid. # Activate once we have the lexicographic algorithm #:examples: # >>> from symmetria import permutation_generator # ... # >>> permutations = permutation_generator(degree=3, algorithm="lexicographic") # >>> for perm in permutations: # ... print(perm) # Permutation(1, 2, 3) # Permutation(1, 3, 2) # Permutation(2, 1, 3) ... """ _check_algorithm_parameter(value=algorithm) _check_degree_parameter(value=degree) return _relevant_generator(algorithm=algorithm, degree=degree)
def _check_algorithm_parameter(value: str) -> None: """Private method to check the value provided for the parameter `algorithm`. Recall that the parameter `algorithm` must be a string present in the list _SUPPORTED_ALGORITHM """ if isinstance(value, str) is False: raise TypeError(f"The parameter `algorithm` must be of type string, but {type(value)} was provided.") if value not in _SUPPORTED_ALGORITHM: raise ValueError( f"The given algorithm ({value}) is not supported. \n " f"Here, a list of supported algorithm for generations of permutations {_SUPPORTED_ALGORITHM}." ) def _check_degree_parameter(value: int) -> None: """Private method to check the value provided for the parameter `degree`. Recall that the parameter `degree` must be a non-negative integer different from zero. """ if isinstance(value, int) is False: raise TypeError(f"The parameter `degree` must be of type int, but {type(value)} was provided.") if value < 1: raise ValueError(f"The parameter `degree` must be a non-zero positive integer, but {value} was provided.") def _relevant_generator(algorithm: str, degree: int) -> Generator["Permutation", None, None]: """Private method to pick the correct algorithm for generating permutations.""" raise NotImplementedError(f"To be implemented using {algorithm} and {degree}.")