updated .py file

import numpy as np

import numpy as np

from matplotlib import pyplot as plt

from matplotlib import pyplot as plt

from itertools import product

import os

import os

import sys

import sys

from PIL import Image

from PIL import Image

    return images #returns a list of file paths to .tiff files in the specified directory given in file_extractor

    return images #returns a list of file paths to .tiff files in the specified directory given in file_extractor

if __name__ == '__main__':

if __name__ == '__main__':

    scene_names = file_extractor()

    image = Image.open("practice_tiff.tiff")

    image2 = Image.open("practice2.tiff")

    imarray2 = np.array(image2)

    imarray = np.array(image)

    work = imarray2[:,:,0]

    ind1, ind2 = np.random.randint(0,434), np.random.randint(0,650)

    surrounding = []

    for i,j in product(np.arange(-1,2), repeat=2):

        if i == 0 and j == 0:

            continue

        else:

            surrounding.append(work[ind1+i, ind1+j])

    diff = []

    diff.append(np.max(surrounding)-np.min(surrounding))

    print(surrounding)

    print(diff)

    """For boundary cases: Start by grabbing the shape of the images and saving those

    as variables. Then, if statements for if row == 0 or row == maximum and if

    col == 0 or col == maximum. Then grab corresponding open pixels. Then proceed to do

    an and statement that handles the corners"""

    """scene_names = file_extractor()

    images = image_extractor(scene_names)

    images = image_extractor(scene_names)

    im = Image.open(images[0])

    im = Image.open(images[0])

    imarray = np.array(im)

    imarray = np.array(im)

    image_array = []

    image_array = []

    for r in randos:

    for r in randos:

        image_array.append(np.array(Image.open(images[r])))

        image_array.append(np.array(Image.open(images[r])))

    indices = [val[i][j] for val in image_array]

    indices = [val[i][j] for val in image_array]"""

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