From: Nils Forssén <forssennils@gmail.com>
Date: Mon, 7 Feb 2022 09:03:39 +0000 (+0100)
Subject: lin
X-Git-Url: https://gitweb.forssennils.se/?a=commitdiff_plain;h=6aff4a2b878a6a87e5108fc30058f20caf53f40a;p=TDDE44.git

lin
---

diff --git a/laboration3/uppgift_3.py b/laboration3/uppgift_3.py
new file mode 100644
index 0000000..e263aed
--- /dev/null
+++ b/laboration3/uppgift_3.py
@@ -0,0 +1,63 @@
+# Uppgift 3
+
+def sum_of_ints2(value_list):
+    tot = 0
+    for inner in value_list:
+        for item in inner:
+            if isinstance(item, int):
+                tot += item
+    return tot
+
+
+def flatten_list1(value_list):
+    return [item for inner in value_list for item in inner]
+
+
+def flatten_list2(value_list):
+    tot = []
+    for inner in value_list:
+        if isinstance(inner, list):
+            tot.extend(inner)
+        else:
+            tot.append(inner)
+
+    return tot
+
+
+def get_first_column(matrix):
+    tot = []
+    for row in matrix:
+        tot.append(row[0])
+    return tot
+
+
+def get_nth_column(n, matrix):
+    tot = []
+    for row in matrix:
+        tot.append(row[n])
+    return tot
+
+
+def get_all_columns(matrix):
+    cols = [[] for _ in matrix]
+
+    for row in matrix:
+        for idx, item in enumerate(row):
+            cols[idx].append(item)
+
+    return cols
+
+
+def scalar_product(vec1, vec2):
+    prod = 0
+    for row in vec1:
+        for item1, item2 in zip(vec1, vec2):
+            prod += item1*item2
+    return prod
+
+
+def matrix_square(matrix):
+    tot = [[] for _ in matrix]
+    for idx, (row, col) in enumerate(zip(matrix, get_all_columns(matrix))):
+        tot[idx].append(scalar_product(row, col))
+    return tot