diff --git a/src/new_initialization_method_testing.py b/src/new_initialization_method_testing.py
deleted file mode 100644
index f4d84db..0000000
--- a/src/new_initialization_method_testing.py
+++ /dev/null
@@ -1,36 +0,0 @@
-import EasyGA
-import random
-
-#1. GA should take in range for gene input
-#2. GA should take in index-dependent range for gene input
-#3. GA should take in domain input
-#4. GA should take in index-dependent domain for gene input
-#5. GA should accept mix of range and domain for gene input
-
-
-# Create the Genetic algorithm
-ga = EasyGA.GA()
-
-test_gene_input = [["left", "right"],[1,100],[5.0,10],[22,"up"]]
-ga.gene_input_type[1] = "float-range"
-ga.gene_input_type[2] = "domain"
-
-ga.initialize(test_gene_input)
-ga.population.print_all() 
-
-
-#Example tests
-#Note, the following examples assume a chromosome length of 4.
-#if the test_gene_input is longer than the chromosomes, it will get truncated at the length of the chromosome
-#for example, for chromosomes with length 2, [["left", "right"],[1,100],[5.0,10],[22,"up"]] becomes [["left", "right"],[1,100]]
-#if the test_gene_input is shorter than the chromosomes, the remaining elements will be populated with None
-
-#test_gene_input = [1,100]
-#test_gene_input = [["left", "right"],[1,100],[5.0,10],[22,"up"]]
-#test_gene_input = ["left", "right", "up", "down"]
-#test_gene_input = [[1,100],[0,1],[33,35],[5,6]]
-#test_gene_input = [["left", "right"], ["up", "down"], ["left", "down"], ["down", "right"]]
-
-#ga.gene_input_type = "float-range"
-#ga.gene_input_type[1] = "domain"
-#ga.gene_input_type[1] = "float-range"
\ No newline at end of file