cleanup

4/super_specific.py

@@ -20,21 +20,41 @@ def real(A: npt.NDArray, b: npt.NDArray) -> npt.NDArray:
 # im actually forgetting yall linear algebra is ass
 
 
-def specific1(A: npt.NDArray, b: npt.NDArray, start=None) -> npt.NDArray:
+def gauss_seidel(
+    A: npt.NDArray, b: npt.NDArray, start=None, iterations=24
+) -> npt.NDArray:
     if not (len(A.shape) == 2 and len(b.shape) == 1 and A.shape[0] == b.shape[0]):
         raise ValueError("Invalid shapes for A and b")
     if start is None:
-        start = np.ones_like(b, dtype=np.float64)  # insane
+        start = np.zeros_like(b, dtype=np.float64)
     if len(start) != len(b):
         raise ValueError("Start vector has incorrect length")
 
-    for _ in range(24):
+    for _ in range(iterations):
         for i in range(start.size):
             restx = np.concatenate([start[:i], start[i + 1 :]])
             resta = np.concatenate([A[i, :i], A[i, i + 1 :]])
             buh = np.sum(restx * resta)
             start[i] = (b[i] - buh) / A[i, i]
-            # print(restx, resta, buh, start, b[i], A[i, i])
+    return start
+
+
+def jacobi(A: npt.NDArray, b: npt.NDArray, start=None, iterations=24) -> npt.NDArray:
+    if not (len(A.shape) == 2 and len(b.shape) == 1 and A.shape[0] == b.shape[0]):
+        raise ValueError("Invalid shapes for A and b")
+    if start is None:
+        start = np.zeros_like(b, dtype=np.float64)
+    if len(start) != len(b):
+        raise ValueError("Start vector has incorrect length")
+
+    new_start = np.copy(start)
+    for _ in range(iterations):
+        for i in range(start.size):
+            restx = np.concatenate([start[:i], start[i + 1 :]])
+            resta = np.concatenate([A[i, :i], A[i, i + 1 :]])
+            buh = np.sum(restx * resta)
+            new_start[i] = (b[i] - buh) / A[i, i]
+        start = np.copy(new_start)
     return start
 
 
@@ -49,19 +69,15 @@ aa, bb = (
     ),
     np.array([6, 25, -11, 15]),
 )
-import math
 import itertools
 
 def isclda(*w):
-    for i in itertools.zip_longest(*w):
+    return (np.allclose(a, b) for a, b in itertools.pairwise(w))
-        for a, b in itertools.pairwise(i):
-            if a is None or b is None:
-                raise ValueError("what the hell?")
-            yield math.isclose(a,b)
 
 
-r1 = specific1(aa, bb)
+r1 = jacobi(aa, bb)
 r2 = real(aa, bb)
 r3 = stupid(aa, bb)
-print(r1, r2, r3)
+r4 = gauss_seidel(aa, bb)
-assert all(isclda(r1, r2, r3)) # im cooked
+print(r1, r2, r3, r4)
+assert isclda(r1, r2, r3, r4)  # it works yo