MiyabiTane

import json
import sys

file_name = sys.argv[1]
json_open = open(file_name, 'r')
json_load = json.load(json_open)

json_write = open("output" + file_name, 'w')
json.dump(json_load, json_write, ensure_ascii=False, indent=4, sort_keys=True, separators=(',', ': '))

MiyabiTane

import cv2
import numpy as np

def image_syn(rgb_img_path, mask_img_path, output_path, x_move, y_move):
    # two image -> same size (3D H,W,C=3)
    cv_image = cv2.imread(rgb_img_path)
    mask_image = cv2.imread(mask_img_path)
    img_gray = cv2.cvtColor(mask_image, cv2.COLOR_BGR2GRAY)
    _thre, bw_img = cv2.threshold(img_gray, 1, 255, cv2.THRESH_BINARY)
    rows,cols = bw_img.shape

MiyabiTane

import sys

# Cache is a data structure that stores the most recently accessed N pages.
# See the below test cases to see how it should work.
#
# Note: Please do not use a library (e.g., collections.OrderedDict).
#       Implement the data structure yourself.


class Cache:

MiyabiTane

import sys

# Cache is a data structure that stores the most recently accessed N pages.
# See the below test cases to see how it should work.
#
# Note: Please do not use a library (e.g., collections.OrderedDict).
#       Implement the data structure yourself.

class Node:
    def __init__(self, url, contents):

MiyabiTane

import numpy, sys, time

if (len(sys.argv) != 2):
    print("usage: python %s N" % sys.argv[0])
    quit()

n = int(sys.argv[1])
a = numpy.zeros((n, n)) # Matrix A
b = numpy.zeros((n, n)) # Matrix B
c = numpy.zeros((n, n)) # Matrix C