diff --git a/py/.editorconfig b/py/.editorconfig
new file mode 100644
index 0000000..5345e9e
--- /dev/null
+++ b/py/.editorconfig
@@ -0,0 +1,6 @@
+[*]
+charset=utf-8
+end_of_line=lf
+insert_final_newline=true
+indent_style=space
+indent_size=4

diff --git a/py/.editorconfig b/py/.editorconfig
new file mode 100644
index 0000000..5345e9e
--- /dev/null
+++ b/py/.editorconfig
@@ -0,0 +1,6 @@
+[*]
+charset=utf-8
+end_of_line=lf
+insert_final_newline=true
+indent_style=space
+indent_size=4
diff --git a/py/even_random_generator.py b/py/even_random_generator.py
index e69de29..ffa3c8a 100644
--- a/py/even_random_generator.py
+++ b/py/even_random_generator.py
@@ -0,0 +1,41 @@
+
+class EvenRandomGenerator:
+    """Generate even random sequences according to a predefined TL ration (Ralph, 2014)"""
+
+    def __init__(self, choices, trials=64, tl=1):
+        self.tl, self.trials, self.choices = tl, trials, choices
+
+    def generate(self):
+        seq = self._generate_initial_sequence()
+        return self._optimize_sequence(seq)
+
+    def _generate_initial_sequence(self):
+        """
+            Generates initial sequence of items based on choices and number of desired trials.
+            In EvenRandom sequences, all stimuli have same number of appearances.
+        """
+        num_of_each_choice = int(self.trials / len(self.choices))
+        seq = []
+        for c in self.choices:
+            seq.append([c for t in range(num_of_each_choice)])
+
+        # if it's too short, add some new items
+        if len(seq) < self.trials:
+            seq += [self.choices[-1] for t in range(self.trials-len(seq))]
+
+        return seq
+
+    def _optimize_sequence(self, seq):
+        """Optimize a sequence based on a desired tl ratio"""
+        # TODO optimize sequence according to the fitness function w/ Branch&Bound or evolutionary algorithms.
+        return seq
+
+    @staticmethod
+    def calculate_tl_ratio(seq):
+        """Calculates the T:L ratio of a sequence."""
+        # TODO
+        targets = 0
+        for index, item in seq:
+            if item == seq[index-2]:
+                targets += 1
+        return 1.0