X-Git-Url: https://wannabe.guru.org/gitweb/?a=blobdiff_plain;f=list_utils.py;h=8f92be30c45fba8531654895f7a03da29b18dae7;hb=24e38c76beada84be1864480366ef3c9f21ad039;hp=b877e381041d32564789232e1bb7329cc04503e6;hpb=444d1e5f3e9a39759079736302e3404018141b02;p=python_utils.git diff --git a/list_utils.py b/list_utils.py index b877e38..8f92be3 100644 --- a/list_utils.py +++ b/list_utils.py @@ -1,8 +1,13 @@ #!/usr/bin/env python3 +# © Copyright 2021-2022, Scott Gasch + +"""Some useful(?) utilities for dealing with Lists.""" + +import random from collections import Counter -from itertools import islice -from typing import Any, Iterator, List, Mapping, Sequence, Tuple +from itertools import chain, combinations, islice +from typing import Any, Iterator, List, MutableSequence, Sequence, Tuple def shard(lst: List[Any], size: int) -> Iterator[Any]: @@ -65,7 +70,7 @@ def remove_list_if_one_element(lst: List[Any]) -> Any: return lst -def population_counts(lst: List[Any]) -> Mapping[Any, int]: +def population_counts(lst: Sequence[Any]) -> Counter: """ Return a population count mapping for the list (i.e. the keys are list items and the values are the number of occurrances of that @@ -200,9 +205,9 @@ def ngrams(lst: Sequence[Any], n): yield lst[i : i + n] -def permute(seq: Sequence[Any]): +def permute(seq: str): """ - Returns all permutations of a sequence; takes O(N^2) time. + Returns all permutations of a sequence; takes O(N!) time. >>> for x in permute('cat'): ... print(x) @@ -217,11 +222,12 @@ def permute(seq: Sequence[Any]): yield from _permute(seq, "") -def _permute(seq: Sequence[Any], path): - if len(seq) == 0: +def _permute(seq: str, path: str): + seq_len = len(seq) + if seq_len == 0: yield path - for i in range(len(seq)): + for i in range(seq_len): car = seq[i] left = seq[0:i] right = seq[i + 1 :] @@ -229,7 +235,31 @@ def _permute(seq: Sequence[Any], path): yield from _permute(cdr, path + car) -def binary_search(lst: Sequence[Any], target: Any, *, sanity_check=False) -> Tuple[bool, int]: +def shuffle(seq: MutableSequence[Any]) -> MutableSequence[Any]: + """Shuffles a sequence into a random order. + + >>> random.seed(22) + >>> shuffle([1, 2, 3, 4, 5]) + [3, 4, 1, 5, 2] + + >>> shuffle('example') + 'empaelx' + + """ + if isinstance(seq, str): + import string_utils + + return string_utils.shuffle(seq) + else: + random.shuffle(seq) + return seq + + +def scramble(seq: MutableSequence[Any]) -> MutableSequence[Any]: + return shuffle(seq) + + +def binary_search(lst: Sequence[Any], target: Any) -> Tuple[bool, int]: """Performs a binary search on lst (which must already be sorted). Returns a Tuple composed of a bool which indicates whether the target was found and an int which indicates the index closest to @@ -255,7 +285,7 @@ def binary_search(lst: Sequence[Any], target: Any, *, sanity_check=False) -> Tup AssertionError """ - if sanity_check: + if __debug__: last = None for x in lst: if last is not None: @@ -264,9 +294,7 @@ def binary_search(lst: Sequence[Any], target: Any, *, sanity_check=False) -> Tup return _binary_search(lst, target, 0, len(lst) - 1) -def _binary_search( - lst: Sequence[Any], target: Any, low: int, high: int -) -> Tuple[bool, int]: +def _binary_search(lst: Sequence[Any], target: Any, low: int, high: int) -> Tuple[bool, int]: if high >= low: mid = (high + low) // 2 if lst[mid] == target: @@ -279,6 +307,23 @@ def _binary_search( return (False, low) +def powerset(lst: Sequence[Any]) -> Iterator[Sequence[Any]]: + """Returns the powerset of the items in the input sequence. + + >>> for x in powerset([1, 2, 3]): + ... print(x) + () + (1,) + (2,) + (3,) + (1, 2) + (1, 3) + (2, 3) + (1, 2, 3) + """ + return chain.from_iterable(combinations(lst, r) for r in range(len(lst) + 1)) + + if __name__ == '__main__': import doctest