thm1118

# -*- coding: utf-8 -*-
#!/usr/bin/env python

"""
THIS SCRIPT IS USED FOR EDUCATIONAL PURPOSES ONLY. DO NOT USE IT IN ILLEGAL WAY!!!
"""

import base64
from datetime import datetime
from hashlib import sha1

thm1118

angular.module('app', [])
	.factory('$exceptionHandler', function ($injector) {
		return function (exception, cause) {
			var $rootScope = $injector.get('$rootScope');
			$rootScope.errors = $rootScope.errors || [];
			$rootScope.errors.push(exception.message);
			console.log($rootScope.errors);
		}
	})
	.run(function ($http) {

thm1118

# -*- coding: utf-8 -*-
import os
import urllib2
import time

try:
    import simplejson as json
except ImportError:
    import json

thm1118

# coding: utf-8

import sys
import jieba
import numpy
from sklearn import metrics
from sklearn.feature_extraction.text import HashingVectorizer
from sklearn.naive_bayes import MultinomialNB

thm1118

from pylab import *
from pprint import pprint


def arrayToList(arr):
    if type(arr) == type(array([])):
        return arrayToList(arr.tolist())
    elif type(arr) == type([]):
        return [arrayToList(a) for a in arr]
    else:

thm1118

""" Example using GenSim's LDA and sklearn. """

import numpy as np

from gensim import matutils
from gensim.models.ldamodel import LdaModel
from sklearn import linear_model
from sklearn.datasets import fetch_20newsgroups
from sklearn.feature_extraction.text import CountVectorizer

thm1118

from time import time
import logging
import numpy as np
from sklearn.datasets import fetch_20newsgroups
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.decomposition import LatentDirichletAllocation

from gensim.matutils import Sparse2Corpus
#from gensim.models.ldamodel import LdaModel
from gensim.models.ldamulticore import LdaMulticore

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# usage: `python ~/Desktop/contours.py 1994-654-12_v02.tif`
# output is to a squareless.txt file and the directory "out"
# Working well with thumbnails with 400px as their longest side - untested with other dimensions

# for i in $(ls -1 | grep tif); do python /Users/artsyinc/Documents/resistance/experiments/artwork_image_cropping/contours.py $i; done

import cv2
import numpy as np
from matplotlib import pyplot as plt
import sys

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/**
 * ==================  angular-ios9-uiwebview.patch.js v1.1.1 ==================
 *
 * This patch works around iOS9 UIWebView regression that causes infinite digest
 * errors in Angular.
 *
 * The patch can be applied to Angular 1.2.0 – 1.4.5. Newer versions of Angular
 * have the workaround baked in.
 *
 * To apply this patch load/bundle this file with your application and add a

thm1118

# -*- coding: utf-8 -*-
"""
    使用sklearn 提供的距离函数测试,对 'euclidean', 'l2', 'l1', 'manhattan', 'cityblock',
                  'braycurtis', 'canberra', 'chebyshev', 'correlation',
                  'cosine', 'dice', 'hamming', 'jaccard', 'kulsinski',
                  'mahalanobis', 'matching', 'minkowski', 'rogerstanimoto',
                  'russellrao', 'seuclidean', 'sokalmichener',
                  'sokalsneath', 'sqeuclidean', 'yule', "wminkowski"
        pearson 等20几个度量距离算法进行逐一测试。
        向量空间模型主要使用tfidf