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#!/bin/bash
#
# convert a mysql database to sqlite3
#
#see https://stackoverflow.com/questions/5164033/
#    export-a-mysql-database-to-sqlite-database

mysql_host=localhost
mysql_user=george
#mysql_passwd=****************

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"""
preprocess-twitter.py

python preprocess-twitter.py "Some random text with #hashtags, @mentions and http://t.co/kdjfkdjf (links). :)"

Script for preprocessing tweets by Romain Paulus
with small modifications by Jeffrey Pennington
with translation to Python by Motoki Wu

Translation of Ruby script to create features for GloVe vectors for Twitter data.

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# Include the Dropbox SDK
import dropbox

# Get your app key and secret from the Dropbox developer website
# https://www.dropbox.com/developers-v1/apps
app_key = 'key'
app_secret = 'secret'

flow = dropbox.client.DropboxOAuth2FlowNoRedirect(app_key, app_secret)

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Tested on ibsimu-1.0.6dev, OSX Yosemite, High Sierra, Catalina.

Install homebrew

ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"

Install dependencies

brew install autoconf automake libtool gtk+3 gsl

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from scipy.interpolate import UnivariateSpline
import numpy as np

def curvature_splines(x, y=None, error=0.1):
    """Calculate the signed curvature of a 2D curve at each point
    using interpolating splines.

    Parameters
    ----------
    x,y: numpy.array(dtype=float) shape (n_points, )

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function (x, y = NULL, xtest = NULL, ytest = NULL, ntree = 500, 
            mtry = if (!is.null(y) && !is.factor(y)) max(floor(ncol(x)/3), 
                                                         1) else floor(sqrt(ncol(x))), replace = TRUE, classwt = NULL, 
            cutoff, strata, sampsize = if (replace) nrow(x) else ceiling(0.632 * 
                                                                           nrow(x)), nodesize = if (!is.null(y) && !is.factor(y)) 5 else 1, 
            maxnodes = NULL, importance = FALSE, localImp = FALSE, nPerm = 1, 
            proximity, oob.prox = proximity, norm.votes = TRUE, do.trace = FALSE, 
            keep.forest = !is.null(y) && is.null(xtest), corr.bias = FALSE, 
            keep.inbag = FALSE, ...) 
  {

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 "worksheets": [
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[u'0.013*species + 0.005*formation + 0.004*water + 0.004*plant + 0.004*genus + 0.003*white + 0.003*mm + 0.003*brown + 0.002*common + 0.002*sea',
 u'0.008*system + 0.006*data + 0.006*game + 0.004*using + 0.004*systems + 0.004*software + 0.003*model + 0.003*technology + 0.003*information + 0.003*available',
 u'0.014*league + 0.010*club + 0.010*round + 0.009*cup + 0.007*football + 0.007*championship + 0.006*games + 0.006*player + 0.005*teams + 0.005*match',
 u'0.009*party + 0.008*william + 0.008*election + 0.007*london + 0.006*james + 0.006*george + 0.005*thomas + 0.005*elected + 0.005*republican + 0.005*england',
 u'0.010*building + 0.008*district + 0.008*river + 0.008*road + 0.008*station + 0.007*village + 0.006*park + 0.006*town + 0.006*railway + 0.006*historic',
 u'0.014*air + 0.010*ship + 0.008*racing + 0.007*aircraft + 0.006*force + 0.006*car + 0.005*crew + 0.005*navy + 0.005*class + 0.005*race',
 u'0.025*album + 0.019*song + 0.013*band + 0.009*chart + 0.008*songs + 0.008*you + 0.008*track + 0.007*records 

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  "signature": "sha256:b99bf1f68a92860ccebd342a666077e249dfb487cea12a567d68facfaa39ab39"
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