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stumpy    
a. 多残株的,株状的,矮胖的
n. 矮胖者

多残株的,株状的,矮胖的矮胖者

stumpy
adj 1: short and thick; as e.g. having short legs and heavy
musculature; "some people seem born to be square and
chunky"; "a dumpy little dumpling of a woman";
"dachshunds are long lowset dogs with drooping ears"; "a
little church with a squat tower"; "a squatty red
smokestack"; "a stumpy ungainly figure" [synonym: {chunky},
{dumpy}, {low-set}, {squat}, {squatty}, {stumpy}]

Stumpy \Stump"y\, a.
1. Full of stumps; hard; strong.
[1913 Webster]

2. Short and thick; stubby. [Colloq.] "A stumpy little man."
--J. C. Harris.
[1913 Webster]

86 Moby Thesaurus words for "stumpy":
bandy, bandy-legged, blemished, bloated, blocky, bowlegged, cash,
chubby, chunky, club-footed, couchant, crouched, debased, defaced,
deformed, depressed, disfigured, dumpy, dwarfed, fat, flat,
flatfooted, grotesque, ill-made, ill-proportioned, ill-shaped,
knee-high, knock-kneed, knocked flat, laid low, low, low-built,
low-hung, low-level, low-leveled, low-lying, low-set, low-statured,
malformed, marred, misbegotten, misproportioned, misshapen,
monstrous, mutilated, neap, out of shape, pigeon-toed, podgy,
prone, pudgy, pug, pug-nosed, pugged, rachitic, recumbent,
retrousse, rhino, rickety, rocks, runty, scratch, shekels, short,
simous, smash, snub-nosed, squat, squattish, squatty, stocky,
stooped, stubbed, stubby, stuff, sugar, supine, swaybacked,
talipedic, thick-bodied, thickset, truncated, tubby, turned-up,
unelevated, wampum


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  • STUMPY documentation — stumpy 1. 13. 0 documentation
    STUMPY # STUMPY is a powerful and scalable Python library that efficiently computes something called the matrix profile, which is just an academic way of saying “for every (green) subsequence within your time series, automatically identify its corresponding nearest-neighbor (grey)”: What’s important is that once you’ve computed your matrix profile (middle panel above) it can then be
  • stumpy · PyPI
    STUMPY STUMPY is a powerful and scalable Python library that efficiently computes something called the matrix profile, which is just an academic way of saying “for every (green) subsequence within your time series, automatically identify its corresponding nearest-neighbor (grey)”: What’s important is that once you’ve computed your matrix profile (middle panel above) it can then be used





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