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type FiniteAutomaton<'a> = { | |
InitialState: string | |
FinalStates: Set<string> | |
Transitions: Map<string * char, 'a> | |
} | |
type DeterministicFiniteAutomaton = FiniteAutomaton<string> | |
type NondeterministicFiniteAutomaton = FiniteAutomaton<string List> | |
let private nextState symbol state fa = | |
fa.Transitions |> Map.tryFind (state, symbol) |
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class Graph(object): | |
def __init__(self): | |
self.g = {} | |
def add(self, vertex1, vertex2, weight): | |
if vertex1 not in self.g: | |
self.g[vertex1] = {} | |
if vertex2 not in self.g: | |
self.g[vertex2] = {} |
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let transposeColumn matrix index = | |
seq { for row in matrix -> Seq.item index row } | |
let transposeMatrix matrix = | |
matrix | |
|> Seq.mapi (fun index _ -> transposeColumn matrix index) | |
let multiplyRows row1 row2 = | |
Seq.zip row1 row2 | |
|> Seq.map (fun (a, b) -> a * b) |
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let chanceToMutate = 5 | |
let possibleChars = Array.append [|'A'..'Z'|] [|' '|] | |
let random = new System.Random() | |
let randomChar () = | |
let index = random.Next(Array.length possibleChars) | |
Array.item index possibleChars |
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Expr0 = Ws expr:(Appl / Expr1) Ws { | |
return expr | |
} | |
Expr1 = expr:(Func / Name / Expr0Parenthesis) { | |
return expr | |
} | |
Expr0Parenthesis = '(' expr:Expr0 ')' { | |
return expr |
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def none_slice_gabriel(lst, start, stop): | |
i = start | |
while i < 0 and i < stop: | |
yield None | |
i += 1 | |
while i < len(lst) and i < stop: | |
yield lst[i] | |
i += 1 |
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int pixelsize = 4; | |
int gridsize = pixelsize * 7 + 5; | |
Player player; | |
ArrayList enemies = new ArrayList(); | |
ArrayList bullets = new ArrayList(); | |
int direction = 1; | |
boolean incy = false; | |
int score = 0; | |
PFont f; |
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from review import KNNPoint, predict | |
dataset = [ | |
KNNPoint([842.0, 2.2, 7.0, 2.0, 2549.0], "medium cost"), | |
KNNPoint([1021.0, 0.5, 53.0, 3.0, 2631.0], "high cost"), | |
KNNPoint([563.0, 0.5, 41.0, 5.0, 2603.0], "high cost"), | |
KNNPoint([615.0, 2.5, 10.0, 6.0, 2769.0], "high cost"), | |
KNNPoint([1821.0, 1.2, 44.0, 2.0, 1411.0], "medium cost"), | |
KNNPoint([1859.0, 0.5, 22.0, 1.0, 1067.0], "medium cost"), | |
KNNPoint([1821.0, 1.7, 10.0, 8.0, 3220.0], "very high cost"), |
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import requests | |
from bs4 import BeautifulSoup | |
import json | |
import unicodedata | |
def normalize(text): | |
nfkd_form = unicodedata.normalize('NFKD', text) | |
only_ascii = nfkd_form.encode('ASCII', 'ignore') | |
return only_ascii.lower().decode() |
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import grequests | |
import json | |
import unicodedata | |
from bs4 import BeautifulSoup | |
def download(urls): | |
def catcher(req, ex): | |
print(ex) | |
reqs = map(grequests.get, urls) |
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