Minor changes/refactors.

src/template_matching_scaling/template_matching_scaling.py

@@ -36,8 +36,9 @@ def __init__(self, image_root_file_path, image_one_file_name, image_two_file_nam
         self._plot_axis = plot_axis
 
     def load_calibration_data(self, file_path):
+
         raw_data = TSEFileIO.read_file(file_path, split_delimiter=",", start_position=1)
-        return dict(TSEUtils.string_list_to_int_list(raw_data))
+        return dict(TSEUtils.string_2d_list_to_int_2d_list(raw_data))
 
     def search_image(self, patch_height, match_methods, use_scaling=False, force_cont_search=False):
 

src/template_matching_scaling/tse/tse_fileio.py

@@ -8,14 +8,16 @@ class TSEFileIO:
     def __init__(self, filepath="./"):
         self._file_path = filepath
 
-    def write_file(self, filename, data_prefix, data_collection, append):
+    def write_tuple_list_to_file(self, filename, data_collection, data_prefix=None, append=True):
+
         self.check_directory(self._file_path)
 
         file_io_op = 'a' if append else 'w'
 
         new_file = open(self._file_path + filename, file_io_op)
 
-        new_file.write(data_prefix + "\n")
+        if data_prefix is not None:
+            new_file.write(data_prefix + "\n")
 
         for data in data_collection:
             new_file.write("{0},{1}\n".format(data[0], data[1]))

src/template_matching_scaling/tse/tse_matchtype.py

@@ -1,5 +1,6 @@
 __author__ = 'connorgoddard'
 
+
 class TSEMatchType:
     def __init__(self, match_name, match_type, match_id, format_string, reverse_score=False):
         self._match_name = match_name

src/template_matching_scaling/tse/tse_utils.py

@@ -23,12 +23,12 @@ def get_smallest_key_value_dict(dict):
         return dict[smallest_dict_key]
 
     @staticmethod
-    def string_list_to_int_list(string_list):
-        return map(TSEUtils.convert_to_int, string_list)
+    def string_2d_list_to_int_2d_list(string_list):
+        return map(TSEUtils.convert_list_to_int, string_list)
 
     @staticmethod
-    def convert_to_int(value):
-        return map(int, value)
+    def convert_list_to_int(list_to_convert):
+        return map(int, list_to_convert)
 
     @staticmethod
     def calc_moving_average_array(values, window, mode='valid'):