modified code so now it calculates total

WorkingPyDemo.py

@@ -191,7 +191,11 @@ def make_dictionary(tiff_image_path_list, num_bins=4, difference = True):
     for _, tiff_image_path in enumerate(tiff_image_path_list):
         # get the image_array, etc
         image_array, diff, error= predict_pix(tiff_image_path, difference)
-
+        # plt.hist(np.ravel(image_array), bins=30)
+        # plt.xlabel('Pixel Value')
+        # plt.ylabel('Frequency')
+        # plt.title('Histogram of Pixel Values')
+        # plt.show()
         bins = [21,32,48]
         # get the boundary 
         boundary = np.hstack((image_array[0,:],image_array[-1,:],image_array[1:-1,0],image_array[1:-1,-1]))
@@ -234,6 +238,11 @@ def make_dictionary(tiff_image_path_list, num_bins=4, difference = True):
         mask = diff > bins[-1]
         for j in error[mask].astype(int):
             list_of_all_vals[-1].append(str(j))
+    # plt.hist([int(i) for i in list_of_all_vals[2]], bins=30)
+    # plt.xlabel("Error")
+    # plt.ylabel("Frequency")
+    # plt.title("Histogram of Errors")
+    # plt.show()
     for item in list_of_all_vals:
         freq = dict(Counter(item))
         freq = sorted(freq.items(), key=lambda x: x[1], reverse=True)
@@ -490,10 +499,11 @@ def bytes_to_bitstring(input_bytearray):
 scenes = file_extractor(folder_name)
 newnamesforlater = []
 images = image_extractor(scenes)
-# list_dic, bins = make_dictionary(images, 4, False)
-file_size_ratios = []
+list_dic, bins = make_dictionary(images, 4, False)
+file_sizes_new = []
+file_sizes_old = []
 # np.save("first_dic.npy", list_dic)
-for i in range(len(images)):
+for i in range(1):
     # image, new_error, diff = huffman(images[i], 4, False)
     # encoded_string = encoder(new_error, list_dic, diff, bins)
     # inletters = bitstring_to_bytes(encoded_string)
@@ -504,7 +514,10 @@ for i in range(len(images)):
     newnamesforlater.append(newname + "_Compressed.txt")
     # with open(newname + "_Compressed.txt", 'wb') as f:
     #     f.write(inletters)
-    file_size_ratios.append((os.path.getsize(newname + "_Compressed.txt"))/os.path.getsize(images[i]))
+    file_sizes_new.append((os.path.getsize(newname + "_Compressed.txt")))
+    file_sizes_old.append((os.path.getsize(images[i])))
+file_sizes_new.append(os.path.getsize("first_dic.npy"))
+# print(np.sum(file_sizes_new)/np.sum(file_sizes_old))
 # list_dic = np.load("first_dic.npy", allow_pickle="TRUE")
 
 # for i,item in enumerate(newnamesforlater[0:10]):