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import numpy as	np
from scipy.optimize import fmin_bfgs

def rosen(x):
   return sum(100.0*(x[1:]-x[:-1]**2.0)**2.0 + (1-x[:1])**2.0)

def rosen_der(x):
   xm = x[1:-1]
   xm_m1 = x[:-2]
   xm_p1 = x[2:]

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# -*- coding:utf-8 -*-

import os
import cv2

row = 1882  #縦
col = 1913  #横

point = [(195, 133), (2073, 133), (3948, 133),
         (200, 2035), (2072, 2035), (3938, 2035)]   #

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# -*- coding:utf-8 -*-


import os
import cv2

folderName = ''
outputFolder = ''

for files in os.listdir(folderName):

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import re
r = re.compile("RT @([0-9a-zA-Z_]{1,15}):(?!.*RT @[0-9a-zA-Z_]{1,15})\s?(.*?)$")

text = "RT @aaa: あああ RT @bbb: いいい"
s = r.search(text)
s.group(0) # マッチした全体（RT @bbb: いいい）
s.group(1) # 発信者screen_name（bbb）
s.group(2) # 発信情報（いいい）

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#! encoding=UTF-8
"""
zikan: a class of measuring elasped time
"""

from datetime import datetime, timedelta

class Zikan(object):
	"""
	Zikan class

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#! encoding=UTF-8
"""
kernel canonical correlation analysis
"""

import numpy as np
from scipy.linalg import svd
from sklearn.metrics.pairwise import pairwise_kernels, euclidean_distances

class KCCA(object):

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import numpy as np
# import utils
from scipy.special import gammaln, psi
# from formatted_logger import formatted_logger

eps = 1e-20
# log = formatted_logger('RTM', 'info')

class rtm:
    """ implementation of relational topic model by Chang and Blei (2009)

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""" 
Original Author  Ernesto P. Adorio, Ph.D 
Original Source: http://my-other-life-as-programmer.blogspot.com/2012/02/python-finding-nearest-matching-color.html
Modifed By: JDiscar

This class maps an RGB value to the nearest color name it can find. Code is modified to include 
ImageMagick names and WebColor names.  

1. Modify the minimization criterion to use least sum of squares of the differences.
2. Provide error checking for input R, G, B values to be within the interval [0, 255].