Democritus functions[1] for working with lists.
[1] Democritus functions are simple, effective, modular, well-tested, and well-documented Python functions.
We use d8s (pronounced "dee-eights") as an abbreviation for democritus (you can read more about this here).
pip install d8s-lists
You import the library like:
from d8s_lists import *Once imported, you can use any of the functions listed below.
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def iterable_sort_by_length(iterable: Iterable[Any], **kwargs) -> List[Any]: """."""
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def longest(iterable: Iterable[Any]) -> Any: """."""
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def shortest(iterable: Iterable[Any]) -> Any: """."""
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def flatten(iterable: Iterable[Any], level: int = None, **kwargs) -> Iterator[Any]: """Flatten all items in the iterable so that they are all items in the same list."""
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def has_index(iterable: Sized, index: int) -> bool: """."""
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def types(iterable: Iterable[Any]) -> Iterator[Type]: """Return a set containing the types of all items in the list_arg."""
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def iterable_item_of_types(iterable: Iterable[Any], item_types: Iterable[type]) -> bool: """Return True if the iterable has any item that is of the item_types. Otherwise, return False."""
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def iterable_all_items_of_types(iterable: Iterable[Any], item_types: Iterable[type]) -> bool: """Return True if all items in the iterable are of a type given in item_types. Otherwise, return False."""
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def iterable_has_all_items_of_type(iterable: Iterable[Any], type_arg: type) -> bool: """Return whether or not all iterable in iterable are of the type specified by the type_arg."""
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def deduplicate(iterable: Iterable[Any]) -> Iterator[Any]: """Deduplicate the iterable."""
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def cycle(iterable: Iterable[Any], length: Optional[int] = None) -> Iterator[Any]: """Cycle through the iterable as much as needed."""
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def truthy_items(iterable: Iterable[Any]) -> Iterator[Any]: """Return an iterable with only elements of the given iterable which evaluate to True. (see https://docs.python.org/3.9/library/stdtypes.html#truth-value-testing)"""
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def nontruthy_items(iterable: Iterable[Any]) -> Iterator[Any]: """Return an iterable with only elements of the given iterable which evaluate to False. (see https://docs.python.org/3.9/library/stdtypes.html#truth-value-testing)"""
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def iterable_has_single_item(iterable: Iterable[Any]) -> bool: """Return whether the iterable has a single item in it."""
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def iterables_are_same_length(a: Sized, b: Sized, *args: Sized, debug_failure: bool = False) -> bool: """Return whether or not the given iterables are the same lengths."""
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def iterables_have_same_items(a: Sequence, b: Sequence, *args: Sequence) -> bool: """Return whether iterables have identical items (considering both identity and count)."""
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def run_length_encoding(iterable: Iterable[Any]) -> Iterator[str]: """Perform run-length encoding on the given array. See https://en.wikipedia.org/wiki/Run-length_encoding for more details."""
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def iterable_count(iterable: Iterable[Any]) -> Dict[Any, int]: """Count each item in the iterable."""
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def iterable_item_index(iterable: Sequence, item: Any) -> int: """Find the given item in the iterable. Return -1 if the item is not found."""
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def iterable_item_indexes(iterable: Iterable[Any], item: Any) -> Iterator[int]: """Find the given item in the iterable. Return -1 if the item is not found."""
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def duplicates(iterable: Sequence) -> Iterator[Sequence]: """Find duplicates in the given iterable."""
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def iterable_has_mixed_types(iterable: Iterable[Any]) -> bool: """Return whether or not the iterable has items with two or more types."""
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def iterable_has_single_type(iterable: Iterable[Any]) -> bool: """Return whether or not the iterable has items of only one type."""
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def iterable_replace(iterable: Iterable[Any], old_value: Any, new_value: Any) -> Iterator[Any]: """Replace all instances of the old_value with the new_value in the given iterable."""
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This package was created with Cookiecutter and Floyd Hightower's Python project template.
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