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| /** | |
| * SyntaxHighlighter | |
| * http://alexgorbatchev.com/SyntaxHighlighter | |
| * | |
| * SyntaxHighlighter is donationware. If you are using it, please donate. | |
| * http://alexgorbatchev.com/SyntaxHighlighter/donate.html | |
| * | |
| * @version | |
| * 3.0.83 (July 02 2010) | |
| * |
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| package mlp.rus; | |
| import java.util.Arrays; | |
| import java.util.Comparator; | |
| import java.util.List; | |
| import java.util.Map; | |
| import java.util.Map.Entry; | |
| import com.google.common.collect.ImmutableMap; | |
| import com.google.common.collect.Lists; |
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| graph = tf.Graph() | |
| with graph.as_default(): | |
| with graph.device('/gpu:0'): | |
| # input data | |
| train_dataset = tf.placeholder(tf.int32, shape=[batch_size]) | |
| train_labels = tf.placeholder(tf.int32, shape=[batch_size, 1]) | |
| valid_dataset = tf.constant(valid_examples, dtype=tf.int32) | |
| # variables |
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| strict digraph G { | |
| nodesep=1; | |
| center=true; margin=1; | |
| splines=true; | |
| sep=1; | |
| node [height="0.33", width="0.33", fixedsize=true]; | |
| edge [len=1.5]; | |
| v1 -> v130 | |
| v1 -> v131 |
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| import requests | |
| import base64 | |
| from tqdm import tqdm | |
| master_json_url = 'https://178skyfiregce-a.akamaihd.net/exp=1474107106~acl=%2F142089577%2F%2A~hmac=0d9becc441fc5385462d53bf59cf019c0184690862f49b414e9a2f1c5bafbe0d/142089577/video/426274424,426274425,426274423,426274422/master.json?base64_init=1' | |
| base_url = master_json_url[:master_json_url.rfind('/', 0, -26) + 1] | |
| resp = requests.get(master_json_url) | |
| content = resp.json() |
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| import java.io.Serializable; | |
| import java.util.Collections; | |
| import java.util.HashMap; | |
| import java.util.List; | |
| import java.util.Map; | |
| import com.google.common.collect.HashMultiset; | |
| import com.google.common.collect.Multiset; | |
| import com.google.common.collect.Multiset.Entry; | |
| import com.google.common.collect.Multisets; |
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| import heapq | |
| import numpy as np | |
| from sklearn.cluster import KMeans, MiniBatchKMeans | |
| def sklearn_bisecting_kmeans_lineage(X, k, verbose=0): | |
| N, _ = X.shape | |
| labels = np.zeros(N, dtype=np.int) | |
| lineage = np.zeros((k, N), dtype=np.int) |
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| package avro; | |
| import org.apache.avro.Schema; | |
| import org.apache.avro.generic.GenericData; | |
| import org.apache.avro.generic.GenericRecord; | |
| import org.apache.avro.reflect.ReflectData; | |
| import java.util.ArrayList; | |
| import java.util.List; |
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| import sys | |
| import time | |
| from io import StringIO | |
| import subprocess | |
| from multiprocessing import Process, Pipe | |
| from threading import Thread | |