sorts.merge_insertion_sort¶
This is a pure Python implementation of the merge-insertion sort algorithm Source: https://en.wikipedia.org/wiki/Merge-insertion_sort
For doctests run following command: python3 -m doctest -v merge_insertion_sort.py or python -m doctest -v merge_insertion_sort.py
For manual testing run: python3 merge_insertion_sort.py
Attributes¶
Classes¶
Base class for protocol classes. |
Functions¶
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Pure implementation of merge-insertion sort algorithm in Python |
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Module Contents¶
- class sorts.merge_insertion_sort.Comparable¶
Bases:
ProtocolBase class for protocol classes.
Protocol classes are defined as:
class Proto(Protocol): def meth(self) -> int: ...
Such classes are primarily used with static type checkers that recognize structural subtyping (static duck-typing).
For example:
class C: def meth(self) -> int: return 0 def func(x: Proto) -> int: return x.meth() func(C()) # Passes static type check
See PEP 544 for details. Protocol classes decorated with @typing.runtime_checkable act as simple-minded runtime protocols that check only the presence of given attributes, ignoring their type signatures. Protocol classes can be generic, they are defined as:
class GenProto[T](Protocol): def meth(self) -> T: ...
- __lt__(other: Any, /) bool¶
- sorts.merge_insertion_sort.binary_search_insertion[T: Comparable](sorted_list: list[T], item: T) list[T]¶
>>> binary_search_insertion([1, 2, 7, 9, 10], 4) [1, 2, 4, 7, 9, 10]
- sorts.merge_insertion_sort.merge[T: Comparable](left: list[list[T]], right: list[list[T]]) list[list[T]]¶
>>> merge([[1, 6], [9, 10]], [[2, 3], [4, 5], [7, 8]]) [[1, 6], [2, 3], [4, 5], [7, 8], [9, 10]]
- sorts.merge_insertion_sort.merge_insertion_sort[T: Comparable](collection: list[T]) list[T]¶
Pure implementation of merge-insertion sort algorithm in Python
- Parameters:
collection – some mutable ordered collection with heterogeneous
comparable items inside :return: the same collection ordered by ascending
Examples: >>> merge_insertion_sort([0, 5, 3, 2, 2]) [0, 2, 2, 3, 5]
>>> merge_insertion_sort([99]) [99]
>>> merge_insertion_sort([-2, -5, -45]) [-45, -5, -2]
Testing with all permutations on range(0,5): >>> import itertools >>> permutations = list(itertools.permutations([0, 1, 2, 3, 4])) >>> all(merge_insertion_sort(p) == [0, 1, 2, 3, 4] for p in permutations) True
- sorts.merge_insertion_sort.sortlist_2d[T: Comparable](list_2d: list[list[T]]) list[list[T]]¶
>>> sortlist_2d([[9, 10], [1, 6], [7, 8], [2, 3], [4, 5]]) [[1, 6], [2, 3], [4, 5], [7, 8], [9, 10]]
- sorts.merge_insertion_sort.user_input¶