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import numpy as np | |
from time import time | |
import matplotlib.pyplot as plt | |
from matplotlib.colors import ListedColormap | |
from sklearn.cross_validation import train_test_split | |
from sklearn.preprocessing import StandardScaler | |
from sklearn.datasets import make_moons, make_circles, make_classification | |
from sklearn.neural_network import MLPClassifier | |
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# solution to http://beust.com/weblog/2012/09/02/coding-challenge-a-sliding-window-map/ | |
import heapq | |
import time | |
class SlidingWindowMap(object): | |
def __init__(self,api_keys,max_count,period_minutes): | |
self.period = period_minutes * 60 | |
self.pq = [] | |
for api_key in api_keys: |
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package com.ideaplay.sharee.utility; | |
import java.util.ArrayList; | |
public class ListItem { | |
private String contributorImageUrl; | |
private String itemTitle; | |
private String itemContent; | |
private String itemContributor; | |
private String itemPubDate; |
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//here code before... | |
public boolean onCreateOptionsMenu(Menu menu) { | |
getSupportMenuInflater().inflate(R.menu.article_menu, menu); | |
return super.onCreateOptionsMenu(menu); | |
} | |
public boolean onOptionsItemSelected( |
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