X-Git-Url: https://wannabe.guru.org/gitweb/?a=blobdiff_plain;f=list_utils.py;h=91af8f9eb924fb7e7e04932d58a1bcb6eded0690;hb=e8fbbb7306430478dec55d2c963eed116d8330cc;hp=1b27436021cc6ab17a9b264e22737d07f3a1ec3c;hpb=9a2ea7cea8b93a85447bd31e8ea660327469f2df;p=python_utils.git diff --git a/list_utils.py b/list_utils.py index 1b27436..91af8f9 100644 --- a/list_utils.py +++ b/list_utils.py @@ -1,8 +1,10 @@ #!/usr/bin/env python3 +"""Some useful(?) utilities for dealing with Lists.""" + from collections import Counter from itertools import islice -from typing import Any, Iterator, List, Mapping, Sequence, Tuple +from typing import Any, Iterator, List, Sequence, Tuple def shard(lst: List[Any], size: int) -> Iterator[Any]: @@ -65,7 +67,7 @@ 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 @@ -197,12 +199,12 @@ def ngrams(lst: Sequence[Any], n): ['an', 'awesome', 'test'] """ for i in range(len(lst) - n + 1): - yield lst[i:i + 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) @@ -217,19 +219,20 @@ 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:] + right = seq[i + 1 :] cdr = left + right yield from _permute(cdr, path + car) -def binary_search(lst: Sequence[Any], target: Any) -> Tuple[bool, int]: +def binary_search(lst: Sequence[Any], target: Any, *, sanity_check=False) -> 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 @@ -249,17 +252,18 @@ def binary_search(lst: Sequence[Any], target: Any) -> Tuple[bool, int]: (False, 1) >>> a.append(9) - >>> binary_search(a, 4) + >>> binary_search(a, 4, sanity_check=True) Traceback (most recent call last): ... AssertionError """ - last = None - for x in lst: - if last is not None: - assert x >= last # This asserts iff the list isn't sorted - last = x # in ascending order. + if sanity_check: + last = None + for x in lst: + if last is not None: + assert x >= last # This asserts iff the list isn't sorted + last = x # in ascending order. return _binary_search(lst, target, 0, len(lst) - 1) @@ -278,4 +282,5 @@ def _binary_search(lst: Sequence[Any], target: Any, low: int, high: int) -> Tupl if __name__ == '__main__': import doctest + doctest.testmod()