diff --git a/src/Test #2/Matrix/__init__.py b/src/Test #2/Matrix/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/src/Test #2/Matrix/frozen_matrix.py b/src/Test #2/Matrix/frozen_matrix.py
new file mode 100644
index 0000000..9b1b4ef
--- /dev/null
+++ b/src/Test #2/Matrix/frozen_matrix.py	
@@ -0,0 +1,23 @@
+from matrix import Matrix
+
+
+class FrozenMatrix(Matrix):
+    def __init__(self, size: tuple[int, int], values: list[list[float | int]]) -> None:
+        frozen_values = tuple(tuple(row) for row in values)
+        super().__init__(size, [list(row) for row in frozen_values])
+        self.hash = None
+
+    def __hash__(self) -> int:
+        if self.hash is None:
+            flattered_matrix = tuple(
+                self.values[row][column]
+                for row in range(self.size[0])
+                for column in range(self.size[1])
+            )
+            self.hash = hash((self.size, flattered_matrix))
+        return self.hash
+
+    def __eq__(self, other):
+        if not isinstance(other, (FrozenMatrix, Matrix)):
+            return False
+        return self.size == other.size and self.values == other.values
diff --git a/src/Test #2/Matrix/matrix.py b/src/Test #2/Matrix/matrix.py
new file mode 100644
index 0000000..eee7e84
--- /dev/null
+++ b/src/Test #2/Matrix/matrix.py	
@@ -0,0 +1,108 @@
+from typing import Self
+
+
+class Matrix:
+    def __init__(self, size: tuple[int, int], values: list[list[float | int]]) -> None:
+        if len(values) != size[0]:
+            raise ValueError
+        self.matrix = []
+        for row in values:
+            if len(row) != size[1]:
+                raise ValueError
+
+        self.values = values
+        self.size = size
+
+    def determinant(self) -> float | int:
+        if self.size[0] != self.size[1]:
+            raise ValueError
+
+        row_number = self.size[0]
+
+        if row_number == 1:
+            return float(self.values[0][0])
+
+        if row_number == 2:
+            return float(
+                self.values[0][0] * self.values[1][1]
+                - self.values[0][1] * self.values[1][0]
+            )
+
+        matrix = [row[:] for row in self.values]
+
+        det = 0.0
+
+        for column_index in range(row_number):
+            minor_values = []
+            for i in range(1, row_number):
+                row = []
+                for j in range(row_number):
+                    if j != column_index:
+                        row.append(matrix[i][j])
+                minor_values.append(row)
+
+            minor = Matrix((row_number - 1, row_number - 1), minor_values)
+
+            minor_det = minor.determinant()
+
+            det += ((-1) ** column_index) * matrix[0][column_index] * minor_det
+
+        return det
+
+    def __add__(self, other_matrix: Self) -> Self:
+        if self.size != other_matrix.size:
+            raise ValueError
+
+        result = []
+        for row_index in range(self.size[0]):
+            row = []
+            for column_index in range(self.size[1]):
+                row.append(
+                    self.values[row_index][column_index]
+                    + other_matrix.values[row_index][column_index]
+                )
+            result.append(row)
+
+        return self.__class__(self.size, result)
+
+    def __mul__(self, multiplier: float | int | Self) -> Self:
+        if isinstance(multiplier, (float, int)):
+            result = []
+            for row_index in range(self.size[0]):
+                row = []
+                for column_index in range(self.size[1]):
+                    row.append(self.values[row_index][column_index] * multiplier)
+                result.append(row)
+
+            return self.__class__(self.size, result)
+        elif isinstance(multiplier, Matrix):
+            if self.size[1] != multiplier.size[0]:
+                raise ValueError
+
+            result = []
+            for i in range(self.size[0]):
+                row = []
+                for j in range(multiplier.size[1]):
+                    element_sum = 0
+                    for k in range(self.size[1]):
+                        element_sum += self.values[i][k] * multiplier.values[k][j]
+                    row.append(element_sum)
+                result.append(row)
+
+            return self.__class__((self.size[0], multiplier.size[1]), result)
+        else:
+            return NotImplemented
+
+    def __rmul__(self, multiplier: float | int) -> Self:
+        if isinstance(multiplier, (float, int)):
+            return self.__mul__(multiplier)
+
+        return NotImplemented
+
+    def __sub__(self, other_matrix: Self) -> Self:
+        return self + (-1 * other_matrix)
+
+    def __iter__(self):
+        for row in self.values:
+            for element in row:
+                yield element