Corrected the directory of Fractional Knapsack algorithm (TheAlgorithms#7086)

* Moved fractional knapsack from 'dynamic_programming' to 'greedy_methods'

* Updated DIRECTORY.md

Author: SudhanshuSuman

DIRECTORY.md

@@ -279,8 +279,6 @@
   * [Fast Fibonacci](dynamic_programming/fast_fibonacci.py)
   * [Fibonacci](dynamic_programming/fibonacci.py)
   * [Floyd Warshall](dynamic_programming/floyd_warshall.py)
-  * [Fractional Knapsack](dynamic_programming/fractional_knapsack.py)
-  * [Fractional Knapsack 2](dynamic_programming/fractional_knapsack_2.py)
   * [Integer Partition](dynamic_programming/integer_partition.py)
   * [Iterating Through Submasks](dynamic_programming/iterating_through_submasks.py)
   * [Knapsack](dynamic_programming/knapsack.py)
@@ -396,6 +394,8 @@
     * [Test Min Spanning Tree Prim](graphs/tests/test_min_spanning_tree_prim.py)
 
 ## Greedy Methods
+  * [Fractional Knapsack](greedy_methods/fractional_knapsack.py)
+  * [Fractional Knapsack 2](greedy_methods/fractional_knapsack_2.py)
   * [Optimal Merge Pattern](greedy_methods/optimal_merge_pattern.py)
 
 ## Hashes

dynamic_programming/fractional_knapsack.py greedy_methods/fractional_knapsack.py

@@ -1,53 +1,53 @@
-# https://en.wikipedia.org/wiki/Continuous_knapsack_problem
-# https://www.guru99.com/fractional-knapsack-problem-greedy.html
-# https://medium.com/walkinthecode/greedy-algorithm-fractional-knapsack-problem-9aba1daecc93
-
-from __future__ import annotations
-
-
-def fractional_knapsack(
-    value: list[int], weight: list[int], capacity: int
-) -> tuple[float, list[float]]:
-    """
-    >>> value = [1, 3, 5, 7, 9]
-    >>> weight = [0.9, 0.7, 0.5, 0.3, 0.1]
-    >>> fractional_knapsack(value, weight, 5)
-    (25, [1, 1, 1, 1, 1])
-    >>> fractional_knapsack(value, weight, 15)
-    (25, [1, 1, 1, 1, 1])
-    >>> fractional_knapsack(value, weight, 25)
-    (25, [1, 1, 1, 1, 1])
-    >>> fractional_knapsack(value, weight, 26)
-    (25, [1, 1, 1, 1, 1])
-    >>> fractional_knapsack(value, weight, -1)
-    (-90.0, [0, 0, 0, 0, -10.0])
-    >>> fractional_knapsack([1, 3, 5, 7], weight, 30)
-    (16, [1, 1, 1, 1])
-    >>> fractional_knapsack(value, [0.9, 0.7, 0.5, 0.3, 0.1], 30)
-    (25, [1, 1, 1, 1, 1])
-    >>> fractional_knapsack([], [], 30)
-    (0, [])
-    """
-    index = list(range(len(value)))
-    ratio = [v / w for v, w in zip(value, weight)]
-    index.sort(key=lambda i: ratio[i], reverse=True)
-
-    max_value: float = 0
-    fractions: list[float] = [0] * len(value)
-    for i in index:
-        if weight[i] <= capacity:
-            fractions[i] = 1
-            max_value += value[i]
-            capacity -= weight[i]
-        else:
-            fractions[i] = capacity / weight[i]
-            max_value += value[i] * capacity / weight[i]
-            break
-
-    return max_value, fractions
-
-
-if __name__ == "__main__":
-    import doctest
-
-    doctest.testmod()
+# https://en.wikipedia.org/wiki/Continuous_knapsack_problem
+# https://www.guru99.com/fractional-knapsack-problem-greedy.html
+# https://medium.com/walkinthecode/greedy-algorithm-fractional-knapsack-problem-9aba1daecc93
+
+from __future__ import annotations
+
+
+def fractional_knapsack(
+    value: list[int], weight: list[int], capacity: int
+) -> tuple[float, list[float]]:
+    """
+    >>> value = [1, 3, 5, 7, 9]
+    >>> weight = [0.9, 0.7, 0.5, 0.3, 0.1]
+    >>> fractional_knapsack(value, weight, 5)
+    (25, [1, 1, 1, 1, 1])
+    >>> fractional_knapsack(value, weight, 15)
+    (25, [1, 1, 1, 1, 1])
+    >>> fractional_knapsack(value, weight, 25)
+    (25, [1, 1, 1, 1, 1])
+    >>> fractional_knapsack(value, weight, 26)
+    (25, [1, 1, 1, 1, 1])
+    >>> fractional_knapsack(value, weight, -1)
+    (-90.0, [0, 0, 0, 0, -10.0])
+    >>> fractional_knapsack([1, 3, 5, 7], weight, 30)
+    (16, [1, 1, 1, 1])
+    >>> fractional_knapsack(value, [0.9, 0.7, 0.5, 0.3, 0.1], 30)
+    (25, [1, 1, 1, 1, 1])
+    >>> fractional_knapsack([], [], 30)
+    (0, [])
+    """
+    index = list(range(len(value)))
+    ratio = [v / w for v, w in zip(value, weight)]
+    index.sort(key=lambda i: ratio[i], reverse=True)
+
+    max_value: float = 0
+    fractions: list[float] = [0] * len(value)
+    for i in index:
+        if weight[i] <= capacity:
+            fractions[i] = 1
+            max_value += value[i]
+            capacity -= weight[i]
+        else:
+            fractions[i] = capacity / weight[i]
+            max_value += value[i] * capacity / weight[i]
+            break
+
+    return max_value, fractions
+
+
+if __name__ == "__main__":
+    import doctest
+
+    doctest.testmod()