Initial commit: AoC solutions 2023-2025

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

2023/16.py

@@ -0,0 +1,57 @@
+import numpy as np
+
+
+class Beam:
+    def __init__(self, start_loc: tuple, current_loc: tuple):
+        self.start_loc = start_loc
+        self.current_loc = current_loc
+        self.direction = None
+        self.beam_length = 0
+        self.energized = set()
+        self.active = True
+
+    def move(self, matrix: np.ndarray):
+        if self.direction is None:
+            self.direction = matrix[self.current_loc]
+        next_loc = get_next(self.current_loc, self.direction, matrix.shape)
+        if not (0 <= next_loc[0] < matrix.shape[0] and 0 <= next_loc[1] < matrix.shape[1]):
+            self.active = False
+            return None
+        self.current_loc = next_loc
+        self.beam_length += 1
+        return next_loc
+    
+def get_next(prev_loc: tuple, direction: str, shape: tuple):
+    match direction:
+        case '-':
+            return (prev_loc[0], prev_loc[1] - 1)
+        case '/':
+            return (prev_loc[0], prev_loc[1] + 1)
+        case '\\':
+            return (prev_loc[0] - 1, prev_loc[1])
+        case '|':
+            return (prev_loc[0] + 1, prev_loc[1])
+        case '.':
+            return prev_loc
+
+file_path = '16-input.txt'
+with open(file_path, 'r') as file:
+    lines = file.readlines()
+# Split each line into individual characters
+lines = [list(line.strip()) for line in lines]
+
+# Build a NumPy matrix of all the lines
+matrix = np.array(lines)
+shape = matrix.shape
+traverse = True
+current_loc = (0, 0)
+beams = []
+beams.append(Beam(current_loc, current_loc))
+while(traverse):
+    for beam in beams:
+        if beam.active:
+            next = beam.move(matrix)
+
+
+
+