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<filter id="goo"> | |
<feGaussianBlur in="SourceGraphic" stdDeviation="10" result="blur" /> | |
<feColorMatrix in="blur" mode="matrix" values="1 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 18 -7" result="goo" /> | |
<feBlend in="SourceGraphic" in2="goo" /> | |
</filter> |
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[{ | |
"key": "Route1", | |
"values": [{"lon": 5392564.725492327, "lat": 2974660.537320351, "el": 52.6, "d": 0}, {"lon": 5392574.3462526705, "lat": 2974720.383022819, "el": 52.0, "d": 0.03766377314093973}, {"lon": 5392580.489136536, "lat": 2974745.190765788, "el": 51.8, "d": 0.053544112668845484}, {"lon": 5392600.588315832, "lat": 2974804.1075405283, "el": 52.2, "d": 0.09222489852128239}, {"lon": 5392607.8968365695, "lat": 2974866.1858293726, "el": 52.8, "d": 0.13106488987249082}, {"lon": 5392603.67043018, "lat": 2974929.0978775197, "el": 53.6, "d": 0.17024466219025763}, {"lon": 5392603.092126638, "lat": 2974934.092772495, "el": 53.8, "d": 0.1733690728586409}, {"lon": 5392598.762995767, "lat": 2974980.288888961, "el": 54.8, "d": 0.2021997205108774}, {"lon": 5392592.871768514, "lat": 2975042.315971373, "el": 55.0, "d": 0.24091493872810624}, {"lon": 5392584.222960228, "lat": 2975103.9196614283, "el": 54.0, "d": 0.2795690300408873}, {"lon": 5392582.099367059, "lat": 2975112.064188394, "el": 53.6, "d": 0.28479899 |
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a = 'CURAÌàAO' | |
def normalize_str(x): | |
if type(x) != unicode: | |
encoding = "utf-8" # or iso-8859-15, or cp1252, or whatever encoding you use | |
byte_string = bytes(x) # or simply "café" before python 3. | |
unicode_string = byte_string.decode(encoding) | |
else: | |
unicode_string = x | |
return unicodedata.normalize('NFD', unicode_string).encode('ascii','ignore') |
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library(stringr) | |
preprocess_products <- function(product_data) { | |
product_names <- as.character(product_data$NombreProducto) | |
weight <- unlist(lapply(product_names, extract_weight)) | |
pieces <- unlist(lapply(product_names, extract_pieces)) | |
brand <- unlist(lapply(product_names, extract_brand)) | |
has_choco <- unlist(lapply(product_names, grepl, pattern="Choco")) | |
has_vanilla <- unlist(lapply(product_names, grepl, pattern="Va(i)?nilla")) |
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WITH A AS ( | |
SELECT | |
"route_id", | |
"client_id", | |
"sales_channel_id", | |
"sales_depot_id" | |
FROM "test_prepared" | |
), | |
B AS ( | |
SELECT |
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<!DOCTYPE html> | |
<html lang="en"> | |
<head> | |
<meta charset="UTF-8"> | |
<title>Document</title> | |
</head> | |
<body> | |
<p> | |
<textarea class="js-copytextarea">Hello I'm some text</textarea> |
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from selenium import webdriver | |
# driver = webdriver.Firefox() | |
driver = webdriver.PhantomJS() | |
driver.set_window_size(1120, 550) | |
driver.get("https://duckduckgo.com/") | |
driver.find_element_by_id('search_form_input_homepage').send_keys("google slavery") | |
driver.find_element_by_id("search_button_homepage").click() | |
out = driver.find_elements_by_xpath("//div[@id='links']/div") | |
# out |
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cd ~ | |
sudo yum update | |
sudo yum install java-1.7.0-openjdk.i686 -y | |
wget https://github.com/downloads/elasticsearch/elasticsearch/elasticsearch-0.19.9.tar.gz -O elasticsearch.tar.gz | |
tar -xf elasticsearch.tar.gz | |
rm elasticsearch.tar.gz | |
mv elasticsearch-* elasticsearch | |
sudo mv elasticsearch /usr/local/share |
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<!DOCTYPE html> | |
<meta charset="utf-8"> | |
<style> | |
.overlay { | |
fill-opacity: 0.1; | |
} | |
circle { | |
fill: black; | |
} | |
</style> |
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