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### | |
# @desc: Recursive Implementation of Levenshtein distance algorithm | |
# according to Wikipedia's pseudocode implementation of it | |
# @author: Asdrúbal Suárez (Twitter @asdrubalivan) | |
### | |
levenshteinInternal = (s, len_s, t, len_t) -> | |
if len_s is 0 | |
return len_t | |
if len_t is 0 | |
return len_s |
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" quick replace occurences | |
let g:should_inject_replace_occurences = 0 | |
function! MoveToNext() | |
if g:should_inject_replace_occurences | |
call feedkeys("n") | |
call repeat#set("\<Plug>ReplaceOccurences") | |
endif | |
let g:should_inject_replace_occurences = 0 | |
endfunction |
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[general] | |
fontname=Monospace 10 | |
selchars=-A-Za-z0-9,./?%&#:_ | |
scrollback=1000 | |
bgcolor=#00002b2b3636 | |
bgalpha=65535 | |
fgcolor=#65657b7b8383 | |
disallowbold=false | |
cursorblinks=false | |
cursorunderline=false |
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if has('vim_starting') | |
if &compatible | |
set nocompatible " Be iMproved | |
endif | |
" Required: | |
set runtimepath+=/home/asdrubalivan/.vim/bundle/neobundle.vim/ | |
endif | |
" Required: |
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# -*- coding: utf-8 -*- | |
''' | |
Simple Tunein's Streaming's URL parser | |
@author: Asdrúbal Suárez | |
@license: Public Domain | |
@version: 0.1 | |
@contact: twitter: @asdrubalivan | |
@usage: tunein_finder.py -url http://tunein.com/radio/EnlaRed-Radio-s89954/ (Don't forget to use the http:// at the beginning) | |
''' | |
import argparse |
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# -*- coding: UTF-8 -*- | |
class Russian_romanizer(object): | |
cyrillic = { | |
u'\u0401': u'YO', | |
u'\u0410': u'a', | |
u'\u0411': u'B', | |
u'\u0412': u'V', | |
u'\u0413': u'G', | |
u'\u0414': u'D', |
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const redis = require("redis"); | |
const { promisify } = require("util"); | |
const client = redis.createClient({ | |
db: "5" // Change database as needed | |
}); | |
const getUserIds = () => | |
new Promise((resolve, reject) => { | |
client.keys("user:*", (err, result) => { |
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def obtenerDatos(): | |
datos = {} | |
datos["pies"] = float(raw_input("Valor en pies: ")) | |
datos["metros"] = float(raw_input("Valor en metros: ")) | |
return datos | |
def metrosAPies(numero): | |
return numero * 3.2808399 |
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pragma solidity ^0.8.0; | |
contract MemoryStorageTest { | |
struct StorageStruct { | |
uint256 value1; | |
uint256 value2; | |
} | |
StorageStruct s; |
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import geopandas as gpd | |
import folium | |
from shapely.geometry import mapping, Polygon, Point | |
from shapely.affinity import translate | |
from shapely.ops import nearest_points | |
# Read in the shapefile as a GeoDataFrame | |
PATH = 'PATH' # CAN BE DOWNLOADED https://www.efrainmaps.es/descargas-gratuitas/venezuela/capas-base/ | |
ESTADO = "Trujillo" | |
gdf = gpd.read_file(PATH) |
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