Fixed spliting at spaces issue

Backtracking/cs412_rockets.py

@@ -48,7 +48,7 @@ def construct(sections: list[int], target: int) -> dict[int, int]:
 # All modules for CS 412 must include a main method that allows it
 # to imported and invoked from other python scripts
 def main():
-    sections: list[int] = list(map(int, input().split(" ")))
+    sections: list[int] = list(map(int, input().split()))
     target: int = int(input())
 
     best_sections = construct(sections, target)

Foxsays/cs412_foxsays_dict.py

@@ -11,7 +11,7 @@ import sys
 # All modules for CS 412 must include a main method that allows it
 # to imported and invoked from other python scripts
 def main():
-    sounds: list[str] = sys.stdin.readline().strip().split(" ")
+    sounds: list[str] = sys.stdin.readline().strip().split()
     num_animals: int = int(sys.stdin.readline().strip())
 
     animal_map: dict[str, str] = {}

Foxsays/cs412_foxsays_list.py

@@ -12,18 +12,17 @@ import sys
 # to imported and invoked from other python scripts
 def main():
 
-    sounds: list[str] = sys.stdin.readline().strip().split(" ")
+    sounds: list[str] = sys.stdin.readline().strip().split()
     num_animals: int = int(sys.stdin.readline().strip())
 
     fox_sounds: list[str] = []
     animals_ecountered: list[str] = []
 
-    animal_sounds: list[tuple[str, str]] = list(
+    animal_sounds: list[tuple[str, str]] = []
-        map(
+
-            lambda line: line.strip().split(" goes "),
+    for line in sys.stdin.readlines()[:num_animals]:
-            sys.stdin.readlines()[:num_animals],
+        split_line = line.strip().split(" goes ")
-        )
+        animal_sounds.append((split_line[0], split_line[1]))
-    )
 
     for sound in sounds:
         animal_found = False

Recursive-Grid-Tiling/tiling.py

@@ -59,7 +59,7 @@ def tile(grid: np.ndarray, hole: tuple[int, int]) -> None:
 # to imported and invoked from other python scripts
 def main():
     n: int = int(input())
-    x, y = map(int, input().split(" "))
+    x, y = map(int, input().split())
 
     grid: np.ndarray = np.zeros((2**n, 2**n), dtype=int)