From ddac454a430586b51a1c65b510710543911c19e2 Mon Sep 17 00:00:00 2001
From: Eva Ball <xevaballx@gmail.com>
Date: Thu, 6 Oct 2022 21:21:55 -0400
Subject: [PATCH 1/2] learning doc

---
 05_docstring/submissions/ball133.py | 27 +++++++++++++++++++++++++++
 1 file changed, 27 insertions(+)
 create mode 100644 05_docstring/submissions/ball133.py

diff --git a/05_docstring/submissions/ball133.py b/05_docstring/submissions/ball133.py
new file mode 100644
index 0000000..9050ed7
--- /dev/null
+++ b/05_docstring/submissions/ball133.py
@@ -0,0 +1,27 @@
+import numpy as np
+
+
+def afunc(array1: np.ndarray, array2: np.ndarray, mode: str = "+", pow: int = 2) -> np.ndarray:
+    """Sums two matrices, then exponentiates each element by pow power.
+
+    Args:
+        array1: A numpy.ndarray.
+        array2: A numpy.ndarray.
+        mode: A string representing '+' or '-' matrix operations.
+        pow: An integer representing the power.
+
+    Returns:
+        A numpy.ndarray matrix, summing the passed matrices and exponentiating each element by pow.
+    """
+    assert array1.shape == array2.shape, "size mismatch"
+    assert type(pow) == int, "pow should be type int"
+
+    if mode == "+":
+        result = array1 + array2
+    elif mode == "-":
+        result = array1 - array2
+    else:
+        raise ValueError(f"mode is either '+' or '-' but got {mode}")
+
+    result = result**pow
+    return result

From 79a8081cce0b5586a3d96aff9796906dc4274d10 Mon Sep 17 00:00:00 2001
From: Eva Ball <xevaballx@gmail.com>
Date: Wed, 12 Oct 2022 14:48:08 -0400
Subject: [PATCH 2/2] learning arg

---
 06_argparser/submissions/ball133.py | 53 +++++++++++++++++++++++++++++
 1 file changed, 53 insertions(+)
 create mode 100644 06_argparser/submissions/ball133.py

diff --git a/06_argparser/submissions/ball133.py b/06_argparser/submissions/ball133.py
new file mode 100644
index 0000000..49a7580
--- /dev/null
+++ b/06_argparser/submissions/ball133.py
@@ -0,0 +1,53 @@
+import numpy as np
+
+
+def afunc(array1, array2, mode="+", pow=2):
+    assert array1.shape == array2.shape, "size mismatch"
+    assert type(pow) == int, "pow should be type int"
+
+    if mode == "+":
+        result = array1 + array2
+    elif mode == "-":
+        result = array1 - array2
+    else:
+        raise ValueError(f"mode is either '+' or '-' but got {mode}")
+
+    result = result**pow
+    return result
+
+
+if __name__ == "__main__":
+    import argparse
+
+    parser = argparse.ArgumentParser(description="This is tutorial for argparse.")
+    # add your code here
+    parser.add_argument(
+        "mode",
+        metavar="M",
+        help="""
+        mode defines which summation operation to perform on matrices
+        and is limited to '+' or '-'
+        """,
+        default="+",
+        type=str,
+    )
+
+    parser.add_argument(
+        "pow",
+        metavar="P",
+        help="pow raises each element in the matrix to specified power",
+        default=2,
+        type=int,
+    )
+
+    parser.add_argument("print_hello", action="store_true")
+    # add your code here
+    args = parser.parse_args()
+    print(args)
+
+    a = np.array([1, 2, 3])
+    b = np.array([4, 5, 6])
+    result = afunc(a, b, args.mode, args.pow)
+    print(result)
+    if args.print_hello:
+        print("Hello!")