chore: import upstream snapshot with attribution

mla/utils/__init__.py

@@ -0,0 +1,3 @@
+# coding:utf-8
+
+from .main import *

mla/utils/main.py

@@ -0,0 +1,25 @@
+# coding:utf-8
+import numpy as np
+
+
+def one_hot(y):
+    n_values = np.max(y) + 1
+    return np.eye(n_values)[y]
+
+
+def batch_iterator(X, batch_size=64):
+    """Splits X into equal sized chunks."""
+    n_samples = X.shape[0]
+    n_batches = n_samples // batch_size
+    batch_end = 0
+
+    for b in range(n_batches):
+        batch_begin = b * batch_size
+        batch_end = batch_begin + batch_size
+
+        X_batch = X[batch_begin:batch_end]
+
+        yield X_batch
+
+    if n_batches * batch_size < n_samples:
+        yield X[batch_end:]