diff --git a/README.md b/README.md
index 1cfdd7b..dfb7b19 100644
--- a/README.md
+++ b/README.md
@@ -6,24 +6,16 @@
 
 - [C++ 23](https://ru.wikipedia.org/wiki/C%2B%2B23)
 - [OpenCL](https://ru.wikipedia.org/wiki/OpenCL)
+- [pybind11](https://github.com/pybind/pybind11)
 - **Всё!** :wink:
 
 ## О проекте:
 
 - Движок для создания нейронных сетей
-- Поддерка вычислений [на CPU](./math/tensor/cpu) или [на GPU](./math/tensor/cpu)
-  - Полиморные пространства имён CPU и GPU соответственно
-  - [Алгоритмы с массовым параллелизмом на GPU](./kernels) для ускорения
-  - Классические алгоритмы на CPU для проверки
-- [Класс Tensor](./math/tensor/tensor.hpp) для работы с тензорами N-ой размерности и [классы Scalar, Vector, Matrix и Tensor3](./math/tensor/tensor.hpp) с размерно-специфичной логикой
-- [Классы ScalarMath, VectorMath, MatrixMath, Tensor3Math](./math/tensor/math.hpp) с базовыми математическими функциями
-
-## Запуск:
-
-- **Windows:**
-  ```
-    make run
-  ```
+- Поддерка вычислений на CPU или на GPU
+  - [Алгоритмы с массовым параллелизмом на GPU](./src/tensor/opencl/kernels) для ускорения
+  - Классические алгоритмы на CPU для проверки вычислений
+- [Класс Tensor](./src/tensor/tensor.hpp) для работы с тензорами произвольной размерности
 
 ## Forward & Back propogation - это путешествие в Мордор и обратно!
 
diff --git a/src/run.py b/src/run.py
index aff44c5..feb309e 100644
--- a/src/run.py
+++ b/src/run.py
@@ -1,5 +1,6 @@
 from tensor.tensor import *
 
-a = Matrix([2, 3], 2)
-b = Matrix([3, 2], 3)
-(a @ b).print()
+a = iMatrix([2, 3], 2)
+
+a *= 3.0
+print(a)
diff --git a/src/tensor/Makefile b/src/tensor/Makefile
index 05fed62..d21c499 100644
--- a/src/tensor/Makefile
+++ b/src/tensor/Makefile
@@ -10,18 +10,20 @@ ifeq ($(DETECTED_OS),Windows)
 	TARGET = main.exe
     MKDIR = powershell -Command "mkdir"
     SHARED_LIB_EXT = pyd
+	SP = \\
 else
 	TARGET = main
     MKDIR = mkdir -p
     SHARED_LIB_EXT = so
+	SP = /
 endif
 
 BUILD_DIR = build
 COMMON_SRC = tensor.cpp
 
 PYTHON_PATH = $(shell python -c "from sysconfig import get_paths; print(get_paths()['data'])")
-PYTHON_INCLUDE = $(PYTHON_PATH)\include
-PYTHON_LIBS = $(PYTHON_PATH)\libs
+PYTHON_INCLUDE = $(shell python -c "import sysconfig; print(sysconfig.get_config_var('CONFINCLUDEPY'))")
+PYTHON_LIBS = $(PYTHON_PATH)$(SP)libs
 PYBIND_INCLUDE = $(shell python -c "import pybind11; print(pybind11.get_include())")
 
 .DEFAULT_GOAL := $(TARGET)
@@ -33,7 +35,8 @@ $(TARGET): $(COMMON_SRC) main.cpp | $(BUILD_DIR)
 	$(CXX) $(CXXFLAGS) -o $@ $^
 
 module: $(COMMON_SRC) pybind.cpp | $(BUILD_DIR)
-	$(CXX) $(CXXFLAGS) -shared -fPIC -o tensor.$(SHARED_LIB_EXT) $^ -I"$(PYTHON_INCLUDE)" -L"$(PYTHON_LIBS)" -lpython313 -I"$(PYBIND_INCLUDE)"
+	$(CXX) $(CXXFLAGS) -shared -fPIC -o tensor.$(SHARED_LIB_EXT) $^ -I"$(PYTHON_INCLUDE)" -L"$(PYTHON_LIBS)" -lpython3.13 -I"$(PYBIND_INCLUDE)"
+	PYTHONPATH=. pybind11-stubgen tensor -o .
 
 clean:
 	rm -rf $(BUILD_DIR) $(TARGET) *.$(SHARED_LIB_EXT)
diff --git a/src/tensor/pybind.cpp b/src/tensor/pybind.cpp
index cfd8f05..c86d06d 100644
--- a/src/tensor/pybind.cpp
+++ b/src/tensor/pybind.cpp
@@ -20,24 +20,6 @@ void register_tensor(py::module &m, const std::string &name) {
                     .def("get_size", &Tensor<T, Dim>::getSize)
                     .def("get_axes", &Tensor<T, Dim>::getAxes)
 
-                    .def("__getitem__",
-                         [](const Tensor<T, Dim> &t, size_t i) -> T {
-                           if (i >= t.getSize())
-                             throw py::index_error();
-                           return t[i];
-                         })
-                    .def("__setitem__",
-                         [](Tensor<T, Dim> &t, size_t i, T value) {
-                           if (i >= t.getSize())
-                             throw py::index_error();
-                           t[i] = value;
-                         })
-
-                    // .def("__call__",
-                    //      [](Tensor<T, Dim> &t, py::args args) -> T & {
-                    //
-                    //      })
-
                     .def(py::self + py::self)
                     .def(py::self - py::self)
                     .def(py::self * py::self)
@@ -49,19 +31,58 @@ void register_tensor(py::module &m, const std::string &name) {
                     .def(py::self - T())
                     .def(py::self * T())
                     .def(py::self / T())
-                    .def(T() + py::self)
-                    .def(T() - py::self)
-                    .def(T() * py::self)
-
                     .def(py::self += T())
                     .def(py::self -= T())
                     .def(py::self *= T())
                     .def(py::self /= T())
+                    .def(T() + py::self)
+                    .def(T() - py::self)
+                    .def(T() * py::self)
 
                     .def("__pos__", [](const Tensor<T, Dim> &t) { return +t; })
                     .def("__neg__", [](const Tensor<T, Dim> &t) { return -t; })
 
-                    .def("print", &Tensor<T, Dim>::print);
+                    .def("__repr__", &Tensor<T, Dim>::toString);
+
+  if constexpr (Dim != 0)
+    tensor
+        .def(
+            "__getitem__",
+            [](Tensor<T, Dim> &t, size_t index) -> T & {
+              if (index >= t.getSize())
+                throw py::value_error("Index out of range");
+              return t[index];
+            },
+            py::return_value_policy::reference)
+        .def(
+            "__getitem__",
+            [](Tensor<T, Dim> &t, const py::tuple &indices) -> T & {
+              if (indices.size() != Dim)
+                throw py::value_error("Expected " + std::to_string(Dim) +
+                                      " indices, got " +
+                                      std::to_string(indices.size()));
+              return [&]<size_t... I>(std::index_sequence<I...>) -> T & {
+                return t(py::cast<size_t>(indices[I])...);
+              }(std::make_index_sequence<Dim>{});
+            },
+            py::return_value_policy::reference)
+
+        .def("__setitem__",
+             [](Tensor<T, Dim> &t, size_t index, const T &value) {
+               if (index >= t.getSize())
+                 throw py::value_error("Index out of range");
+               t[index] = value;
+             })
+        .def("__setitem__",
+             [](Tensor<T, Dim> &t, const py::tuple &indices, const T &value) {
+               if (indices.size() != Dim)
+                 throw py::value_error("Expected " + std::to_string(Dim) +
+                                       " indices, got " +
+                                       std::to_string(indices.size()));
+               [&]<size_t... I>(std::index_sequence<I...>) {
+                 t(py::cast<size_t>(indices[I])...) = value;
+               }(std::make_index_sequence<Dim>{});
+             });
 
   if constexpr (Dim == 1 || Dim == 2)
     tensor.def("__matmul__", &Tensor<T, Dim>::operator%);
@@ -83,20 +104,9 @@ PYBIND11_MODULE(tensor, m) {
   register_tensor<float, 1>(m, "Vector");
   register_tensor<float, 2>(m, "Matrix");
   register_tensor<float, 3>(m, "Tensor3");
-  register_tensor<float, 4>(m, "Tensor4");
-  register_tensor<float, 5>(m, "Tensor5");
-
-  register_tensor<double, 0>(m, "dScalar");
-  register_tensor<double, 1>(m, "dVector");
-  register_tensor<double, 2>(m, "dMatrix");
-  register_tensor<double, 3>(m, "dTensor3");
-  register_tensor<double, 4>(m, "dTensor4");
-  register_tensor<double, 5>(m, "dTensor5");
 
   register_tensor<int, 0>(m, "iScalar");
   register_tensor<int, 1>(m, "iVector");
   register_tensor<int, 2>(m, "iMatrix");
   register_tensor<int, 3>(m, "iTensor3");
-  register_tensor<int, 4>(m, "iTensor4");
-  register_tensor<int, 5>(m, "iTensor5");
-}
\ No newline at end of file
+}
diff --git a/src/tensor/tensor.hpp b/src/tensor/tensor.hpp
index e50cc0f..db167ac 100644
--- a/src/tensor/tensor.hpp
+++ b/src/tensor/tensor.hpp
@@ -1,6 +1,6 @@
 #include <array>
-#include <iostream>
 #include <random>
+#include <sstream>
 #include <stdexcept>
 #include <type_traits>
 #include <vector>
@@ -270,48 +270,49 @@ public:
     }
   }
 
-  void print() const {
+  std::string toString() const {
+    std::ostringstream oss;
     if constexpr (Dim == 0) {
-      std::cout << "Scalar<" << typeid(T).name() << ">: " << data_[0]
-                << std::endl;
+      oss << "Scalar<" << typeid(T).name() << ">: " << data_[0];
     } else if constexpr (Dim == 1) {
-      std::cout << "Vector<" << typeid(T).name() << ">(" << shape_[0] << "): [";
+      oss << "Vector<" << typeid(T).name() << ">(" << shape_[0] << "): [";
       for (size_t i = 0; i < data_.size(); ++i) {
-        std::cout << data_[i];
+        oss << data_[i];
         if (i < data_.size() - 1)
-          std::cout << ", ";
+          oss << ", ";
       }
-      std::cout << "]" << std::endl;
+      oss << "]";
     } else if constexpr (Dim == 2) {
-      std::cout << "Matrix<" << typeid(T).name() << ">(" << shape_[axes_[0]]
-                << "x" << shape_[axes_[1]] << "):" << std::endl;
+      oss << "Matrix<" << typeid(T).name() << ">(" << shape_[axes_[0]] << "x"
+          << shape_[axes_[1]] << "):";
       for (size_t i = 0; i < shape_[axes_[0]]; ++i) {
-        std::cout << "  [";
+        oss << "\n  [";
         for (size_t j = 0; j < shape_[axes_[1]]; ++j) {
-          std::cout << (*this)(i, j);
+          oss << (*this)(i, j);
           if (j < shape_[axes_[1]] - 1)
-            std::cout << ", ";
+            oss << ", ";
         }
-        std::cout << "]" << std::endl;
+        oss << "]";
       }
     } else {
-      std::cout << "Tensor" << Dim << "D<" << typeid(T).name() << ">" << "[";
+      oss << "Tensor" << Dim << "D<" << typeid(T).name() << ">" << "[";
       for (size_t i = 0; i < Dim; ++i) {
-        std::cout << shape_[axes_[i]];
+        oss << shape_[axes_[i]];
         if (i < Dim - 1)
-          std::cout << "x";
+          oss << "x";
       }
-      std::cout << "]: [";
+      oss << "]: [";
       size_t show = std::min(data_.size(), size_t(10));
       for (size_t i = 0; i < show; ++i) {
-        std::cout << data_[i];
+        oss << data_[i];
         if (i < show - 1)
-          std::cout << ", ";
+          oss << ", ";
       }
       if (data_.size() > 10)
-        std::cout << ", ...";
-      std::cout << "]" << std::endl;
+        oss << ", ...";
+      oss << "]";
     }
+    return oss.str();
   }
 };
 
@@ -335,4 +336,4 @@ public:
     return Tensor<T, sizeof...(Args)>({static_cast<size_t>(args)...}, T(0),
                                       T(1));
   }
-};
\ No newline at end of file
+};
diff --git a/src/tensor/tensor.pyi b/src/tensor/tensor.pyi
new file mode 100644
index 0000000..8062336
--- /dev/null
+++ b/src/tensor/tensor.pyi
@@ -0,0 +1,703 @@
+"""
+Tensor math library
+"""
+from __future__ import annotations
+import collections.abc
+import typing
+__all__: list[str] = ['Matrix', 'Scalar', 'Tensor3', 'Vector', 'iMatrix', 'iScalar', 'iTensor3', 'iVector']
+class Matrix:
+    @typing.overload
+    def __add__(self, arg0: Matrix) -> Matrix:
+        ...
+    @typing.overload
+    def __add__(self, arg0: typing.SupportsFloat) -> Matrix:
+        ...
+    @typing.overload
+    def __getitem__(self, arg0: typing.SupportsInt) -> float:
+        ...
+    @typing.overload
+    def __getitem__(self, arg0: tuple) -> float:
+        ...
+    @typing.overload
+    def __iadd__(self, arg0: Matrix) -> Matrix:
+        ...
+    @typing.overload
+    def __iadd__(self, arg0: typing.SupportsFloat) -> Matrix:
+        ...
+    @typing.overload
+    def __imul__(self, arg0: Matrix) -> Matrix:
+        ...
+    @typing.overload
+    def __imul__(self, arg0: typing.SupportsFloat) -> Matrix:
+        ...
+    @typing.overload
+    def __init__(self, arg0: typing.Annotated[collections.abc.Sequence[typing.SupportsInt], "FixedSize(2)"]) -> None:
+        ...
+    @typing.overload
+    def __init__(self, arg0: typing.Annotated[collections.abc.Sequence[typing.SupportsInt], "FixedSize(2)"], arg1: typing.SupportsFloat) -> None:
+        ...
+    @typing.overload
+    def __init__(self, arg0: typing.Annotated[collections.abc.Sequence[typing.SupportsInt], "FixedSize(2)"], arg1: collections.abc.Sequence[typing.SupportsFloat]) -> None:
+        ...
+    @typing.overload
+    def __init__(self, arg0: typing.Annotated[collections.abc.Sequence[typing.SupportsInt], "FixedSize(2)"], arg1: typing.SupportsFloat, arg2: typing.SupportsFloat) -> None:
+        ...
+    @typing.overload
+    def __isub__(self, arg0: Matrix) -> Matrix:
+        ...
+    @typing.overload
+    def __isub__(self, arg0: typing.SupportsFloat) -> Matrix:
+        ...
+    def __itruediv__(self, arg0: typing.SupportsFloat) -> Matrix:
+        ...
+    def __matmul__(self, arg0: Matrix) -> Matrix:
+        ...
+    @typing.overload
+    def __mul__(self, arg0: Matrix) -> Matrix:
+        ...
+    @typing.overload
+    def __mul__(self, arg0: typing.SupportsFloat) -> Matrix:
+        ...
+    def __neg__(self) -> Matrix:
+        ...
+    def __pos__(self) -> Matrix:
+        ...
+    def __radd__(self, arg0: typing.SupportsFloat) -> Matrix:
+        ...
+    def __repr__(self) -> str:
+        ...
+    def __rmul__(self, arg0: typing.SupportsFloat) -> Matrix:
+        ...
+    def __rsub__(self, arg0: typing.SupportsFloat) -> Matrix:
+        ...
+    @typing.overload
+    def __setitem__(self, arg0: typing.SupportsInt, arg1: typing.SupportsFloat) -> None:
+        ...
+    @typing.overload
+    def __setitem__(self, arg0: tuple, arg1: typing.SupportsFloat) -> None:
+        ...
+    @typing.overload
+    def __sub__(self, arg0: Matrix) -> Matrix:
+        ...
+    @typing.overload
+    def __sub__(self, arg0: typing.SupportsFloat) -> Matrix:
+        ...
+    def __truediv__(self, arg0: typing.SupportsFloat) -> Matrix:
+        ...
+    def get_axes(self) -> typing.Annotated[list[int], "FixedSize(2)"]:
+        ...
+    def get_data(self) -> list[float]:
+        ...
+    def get_shape(self) -> typing.Annotated[list[int], "FixedSize(2)"]:
+        ...
+    def get_size(self) -> int:
+        ...
+    def t(self) -> Matrix:
+        ...
+    @typing.overload
+    def transpose(self, arg0: typing.Annotated[collections.abc.Sequence[typing.SupportsInt], "FixedSize(2)"]) -> Matrix:
+        ...
+    @typing.overload
+    def transpose(self, arg0: typing.SupportsInt, arg1: typing.SupportsInt) -> Matrix:
+        ...
+class Scalar:
+    @typing.overload
+    def __add__(self, arg0: Scalar) -> Scalar:
+        ...
+    @typing.overload
+    def __add__(self, arg0: typing.SupportsFloat) -> Scalar:
+        ...
+    @typing.overload
+    def __iadd__(self, arg0: Scalar) -> Scalar:
+        ...
+    @typing.overload
+    def __iadd__(self, arg0: typing.SupportsFloat) -> Scalar:
+        ...
+    @typing.overload
+    def __imul__(self, arg0: Scalar) -> Scalar:
+        ...
+    @typing.overload
+    def __imul__(self, arg0: typing.SupportsFloat) -> Scalar:
+        ...
+    @typing.overload
+    def __init__(self, arg0: typing.Annotated[collections.abc.Sequence[typing.SupportsInt], "FixedSize(0)"]) -> None:
+        ...
+    @typing.overload
+    def __init__(self, arg0: typing.Annotated[collections.abc.Sequence[typing.SupportsInt], "FixedSize(0)"], arg1: typing.SupportsFloat) -> None:
+        ...
+    @typing.overload
+    def __init__(self, arg0: typing.Annotated[collections.abc.Sequence[typing.SupportsInt], "FixedSize(0)"], arg1: collections.abc.Sequence[typing.SupportsFloat]) -> None:
+        ...
+    @typing.overload
+    def __init__(self, arg0: typing.Annotated[collections.abc.Sequence[typing.SupportsInt], "FixedSize(0)"], arg1: typing.SupportsFloat, arg2: typing.SupportsFloat) -> None:
+        ...
+    @typing.overload
+    def __isub__(self, arg0: Scalar) -> Scalar:
+        ...
+    @typing.overload
+    def __isub__(self, arg0: typing.SupportsFloat) -> Scalar:
+        ...
+    def __itruediv__(self, arg0: typing.SupportsFloat) -> Scalar:
+        ...
+    @typing.overload
+    def __mul__(self, arg0: Scalar) -> Scalar:
+        ...
+    @typing.overload
+    def __mul__(self, arg0: typing.SupportsFloat) -> Scalar:
+        ...
+    def __neg__(self) -> Scalar:
+        ...
+    def __pos__(self) -> Scalar:
+        ...
+    def __radd__(self, arg0: typing.SupportsFloat) -> Scalar:
+        ...
+    def __repr__(self) -> str:
+        ...
+    def __rmul__(self, arg0: typing.SupportsFloat) -> Scalar:
+        ...
+    def __rsub__(self, arg0: typing.SupportsFloat) -> Scalar:
+        ...
+    @typing.overload
+    def __sub__(self, arg0: Scalar) -> Scalar:
+        ...
+    @typing.overload
+    def __sub__(self, arg0: typing.SupportsFloat) -> Scalar:
+        ...
+    def __truediv__(self, arg0: typing.SupportsFloat) -> Scalar:
+        ...
+    def get_axes(self) -> typing.Annotated[list[int], "FixedSize(0)"]:
+        ...
+    def get_data(self) -> list[float]:
+        ...
+    def get_shape(self) -> typing.Annotated[list[int], "FixedSize(0)"]:
+        ...
+    def get_size(self) -> int:
+        ...
+class Tensor3:
+    @typing.overload
+    def __add__(self, arg0: Tensor3) -> Tensor3:
+        ...
+    @typing.overload
+    def __add__(self, arg0: typing.SupportsFloat) -> Tensor3:
+        ...
+    @typing.overload
+    def __getitem__(self, arg0: typing.SupportsInt) -> float:
+        ...
+    @typing.overload
+    def __getitem__(self, arg0: tuple) -> float:
+        ...
+    @typing.overload
+    def __iadd__(self, arg0: Tensor3) -> Tensor3:
+        ...
+    @typing.overload
+    def __iadd__(self, arg0: typing.SupportsFloat) -> Tensor3:
+        ...
+    @typing.overload
+    def __imul__(self, arg0: Tensor3) -> Tensor3:
+        ...
+    @typing.overload
+    def __imul__(self, arg0: typing.SupportsFloat) -> Tensor3:
+        ...
+    @typing.overload
+    def __init__(self, arg0: typing.Annotated[collections.abc.Sequence[typing.SupportsInt], "FixedSize(3)"]) -> None:
+        ...
+    @typing.overload
+    def __init__(self, arg0: typing.Annotated[collections.abc.Sequence[typing.SupportsInt], "FixedSize(3)"], arg1: typing.SupportsFloat) -> None:
+        ...
+    @typing.overload
+    def __init__(self, arg0: typing.Annotated[collections.abc.Sequence[typing.SupportsInt], "FixedSize(3)"], arg1: collections.abc.Sequence[typing.SupportsFloat]) -> None:
+        ...
+    @typing.overload
+    def __init__(self, arg0: typing.Annotated[collections.abc.Sequence[typing.SupportsInt], "FixedSize(3)"], arg1: typing.SupportsFloat, arg2: typing.SupportsFloat) -> None:
+        ...
+    @typing.overload
+    def __isub__(self, arg0: Tensor3) -> Tensor3:
+        ...
+    @typing.overload
+    def __isub__(self, arg0: typing.SupportsFloat) -> Tensor3:
+        ...
+    def __itruediv__(self, arg0: typing.SupportsFloat) -> Tensor3:
+        ...
+    @typing.overload
+    def __mul__(self, arg0: Tensor3) -> Tensor3:
+        ...
+    @typing.overload
+    def __mul__(self, arg0: typing.SupportsFloat) -> Tensor3:
+        ...
+    def __neg__(self) -> Tensor3:
+        ...
+    def __pos__(self) -> Tensor3:
+        ...
+    def __radd__(self, arg0: typing.SupportsFloat) -> Tensor3:
+        ...
+    def __repr__(self) -> str:
+        ...
+    def __rmul__(self, arg0: typing.SupportsFloat) -> Tensor3:
+        ...
+    def __rsub__(self, arg0: typing.SupportsFloat) -> Tensor3:
+        ...
+    @typing.overload
+    def __setitem__(self, arg0: typing.SupportsInt, arg1: typing.SupportsFloat) -> None:
+        ...
+    @typing.overload
+    def __setitem__(self, arg0: tuple, arg1: typing.SupportsFloat) -> None:
+        ...
+    @typing.overload
+    def __sub__(self, arg0: Tensor3) -> Tensor3:
+        ...
+    @typing.overload
+    def __sub__(self, arg0: typing.SupportsFloat) -> Tensor3:
+        ...
+    def __truediv__(self, arg0: typing.SupportsFloat) -> Tensor3:
+        ...
+    def get_axes(self) -> typing.Annotated[list[int], "FixedSize(3)"]:
+        ...
+    def get_data(self) -> list[float]:
+        ...
+    def get_shape(self) -> typing.Annotated[list[int], "FixedSize(3)"]:
+        ...
+    def get_size(self) -> int:
+        ...
+    def t(self) -> Tensor3:
+        ...
+    @typing.overload
+    def transpose(self, arg0: typing.Annotated[collections.abc.Sequence[typing.SupportsInt], "FixedSize(3)"]) -> Tensor3:
+        ...
+    @typing.overload
+    def transpose(self, arg0: typing.SupportsInt, arg1: typing.SupportsInt) -> Tensor3:
+        ...
+class Vector:
+    @typing.overload
+    def __add__(self, arg0: Vector) -> Vector:
+        ...
+    @typing.overload
+    def __add__(self, arg0: typing.SupportsFloat) -> Vector:
+        ...
+    @typing.overload
+    def __getitem__(self, arg0: typing.SupportsInt) -> float:
+        ...
+    @typing.overload
+    def __getitem__(self, arg0: tuple) -> float:
+        ...
+    @typing.overload
+    def __iadd__(self, arg0: Vector) -> Vector:
+        ...
+    @typing.overload
+    def __iadd__(self, arg0: typing.SupportsFloat) -> Vector:
+        ...
+    @typing.overload
+    def __imul__(self, arg0: Vector) -> Vector:
+        ...
+    @typing.overload
+    def __imul__(self, arg0: typing.SupportsFloat) -> Vector:
+        ...
+    @typing.overload
+    def __init__(self, arg0: typing.Annotated[collections.abc.Sequence[typing.SupportsInt], "FixedSize(1)"]) -> None:
+        ...
+    @typing.overload
+    def __init__(self, arg0: typing.Annotated[collections.abc.Sequence[typing.SupportsInt], "FixedSize(1)"], arg1: typing.SupportsFloat) -> None:
+        ...
+    @typing.overload
+    def __init__(self, arg0: typing.Annotated[collections.abc.Sequence[typing.SupportsInt], "FixedSize(1)"], arg1: collections.abc.Sequence[typing.SupportsFloat]) -> None:
+        ...
+    @typing.overload
+    def __init__(self, arg0: typing.Annotated[collections.abc.Sequence[typing.SupportsInt], "FixedSize(1)"], arg1: typing.SupportsFloat, arg2: typing.SupportsFloat) -> None:
+        ...
+    @typing.overload
+    def __isub__(self, arg0: Vector) -> Vector:
+        ...
+    @typing.overload
+    def __isub__(self, arg0: typing.SupportsFloat) -> Vector:
+        ...
+    def __itruediv__(self, arg0: typing.SupportsFloat) -> Vector:
+        ...
+    def __matmul__(self, arg0: Vector) -> Scalar:
+        ...
+    @typing.overload
+    def __mul__(self, arg0: Vector) -> Vector:
+        ...
+    @typing.overload
+    def __mul__(self, arg0: typing.SupportsFloat) -> Vector:
+        ...
+    def __neg__(self) -> Vector:
+        ...
+    def __pos__(self) -> Vector:
+        ...
+    def __radd__(self, arg0: typing.SupportsFloat) -> Vector:
+        ...
+    def __repr__(self) -> str:
+        ...
+    def __rmul__(self, arg0: typing.SupportsFloat) -> Vector:
+        ...
+    def __rsub__(self, arg0: typing.SupportsFloat) -> Vector:
+        ...
+    @typing.overload
+    def __setitem__(self, arg0: typing.SupportsInt, arg1: typing.SupportsFloat) -> None:
+        ...
+    @typing.overload
+    def __setitem__(self, arg0: tuple, arg1: typing.SupportsFloat) -> None:
+        ...
+    @typing.overload
+    def __sub__(self, arg0: Vector) -> Vector:
+        ...
+    @typing.overload
+    def __sub__(self, arg0: typing.SupportsFloat) -> Vector:
+        ...
+    def __truediv__(self, arg0: typing.SupportsFloat) -> Vector:
+        ...
+    def get_axes(self) -> typing.Annotated[list[int], "FixedSize(1)"]:
+        ...
+    def get_data(self) -> list[float]:
+        ...
+    def get_shape(self) -> typing.Annotated[list[int], "FixedSize(1)"]:
+        ...
+    def get_size(self) -> int:
+        ...
+class iMatrix:
+    @typing.overload
+    def __add__(self, arg0: iMatrix) -> iMatrix:
+        ...
+    @typing.overload
+    def __add__(self, arg0: typing.SupportsInt) -> iMatrix:
+        ...
+    @typing.overload
+    def __getitem__(self, arg0: typing.SupportsInt) -> int:
+        ...
+    @typing.overload
+    def __getitem__(self, arg0: tuple) -> int:
+        ...
+    @typing.overload
+    def __iadd__(self, arg0: iMatrix) -> iMatrix:
+        ...
+    @typing.overload
+    def __iadd__(self, arg0: typing.SupportsInt) -> iMatrix:
+        ...
+    @typing.overload
+    def __imul__(self, arg0: iMatrix) -> iMatrix:
+        ...
+    @typing.overload
+    def __imul__(self, arg0: typing.SupportsInt) -> iMatrix:
+        ...
+    @typing.overload
+    def __init__(self, arg0: typing.Annotated[collections.abc.Sequence[typing.SupportsInt], "FixedSize(2)"]) -> None:
+        ...
+    @typing.overload
+    def __init__(self, arg0: typing.Annotated[collections.abc.Sequence[typing.SupportsInt], "FixedSize(2)"], arg1: typing.SupportsInt) -> None:
+        ...
+    @typing.overload
+    def __init__(self, arg0: typing.Annotated[collections.abc.Sequence[typing.SupportsInt], "FixedSize(2)"], arg1: collections.abc.Sequence[typing.SupportsInt]) -> None:
+        ...
+    @typing.overload
+    def __init__(self, arg0: typing.Annotated[collections.abc.Sequence[typing.SupportsInt], "FixedSize(2)"], arg1: typing.SupportsInt, arg2: typing.SupportsInt) -> None:
+        ...
+    @typing.overload
+    def __isub__(self, arg0: iMatrix) -> iMatrix:
+        ...
+    @typing.overload
+    def __isub__(self, arg0: typing.SupportsInt) -> iMatrix:
+        ...
+    def __itruediv__(self, arg0: typing.SupportsInt) -> iMatrix:
+        ...
+    def __matmul__(self, arg0: iMatrix) -> iMatrix:
+        ...
+    @typing.overload
+    def __mul__(self, arg0: iMatrix) -> iMatrix:
+        ...
+    @typing.overload
+    def __mul__(self, arg0: typing.SupportsInt) -> iMatrix:
+        ...
+    def __neg__(self) -> iMatrix:
+        ...
+    def __pos__(self) -> iMatrix:
+        ...
+    def __radd__(self, arg0: typing.SupportsInt) -> iMatrix:
+        ...
+    def __repr__(self) -> str:
+        ...
+    def __rmul__(self, arg0: typing.SupportsInt) -> iMatrix:
+        ...
+    def __rsub__(self, arg0: typing.SupportsInt) -> iMatrix:
+        ...
+    @typing.overload
+    def __setitem__(self, arg0: typing.SupportsInt, arg1: typing.SupportsInt) -> None:
+        ...
+    @typing.overload
+    def __setitem__(self, arg0: tuple, arg1: typing.SupportsInt) -> None:
+        ...
+    @typing.overload
+    def __sub__(self, arg0: iMatrix) -> iMatrix:
+        ...
+    @typing.overload
+    def __sub__(self, arg0: typing.SupportsInt) -> iMatrix:
+        ...
+    def __truediv__(self, arg0: typing.SupportsInt) -> iMatrix:
+        ...
+    def get_axes(self) -> typing.Annotated[list[int], "FixedSize(2)"]:
+        ...
+    def get_data(self) -> list[int]:
+        ...
+    def get_shape(self) -> typing.Annotated[list[int], "FixedSize(2)"]:
+        ...
+    def get_size(self) -> int:
+        ...
+    def t(self) -> iMatrix:
+        ...
+    @typing.overload
+    def transpose(self, arg0: typing.Annotated[collections.abc.Sequence[typing.SupportsInt], "FixedSize(2)"]) -> iMatrix:
+        ...
+    @typing.overload
+    def transpose(self, arg0: typing.SupportsInt, arg1: typing.SupportsInt) -> iMatrix:
+        ...
+class iScalar:
+    @typing.overload
+    def __add__(self, arg0: iScalar) -> iScalar:
+        ...
+    @typing.overload
+    def __add__(self, arg0: typing.SupportsInt) -> iScalar:
+        ...
+    @typing.overload
+    def __iadd__(self, arg0: iScalar) -> iScalar:
+        ...
+    @typing.overload
+    def __iadd__(self, arg0: typing.SupportsInt) -> iScalar:
+        ...
+    @typing.overload
+    def __imul__(self, arg0: iScalar) -> iScalar:
+        ...
+    @typing.overload
+    def __imul__(self, arg0: typing.SupportsInt) -> iScalar:
+        ...
+    @typing.overload
+    def __init__(self, arg0: typing.Annotated[collections.abc.Sequence[typing.SupportsInt], "FixedSize(0)"]) -> None:
+        ...
+    @typing.overload
+    def __init__(self, arg0: typing.Annotated[collections.abc.Sequence[typing.SupportsInt], "FixedSize(0)"], arg1: typing.SupportsInt) -> None:
+        ...
+    @typing.overload
+    def __init__(self, arg0: typing.Annotated[collections.abc.Sequence[typing.SupportsInt], "FixedSize(0)"], arg1: collections.abc.Sequence[typing.SupportsInt]) -> None:
+        ...
+    @typing.overload
+    def __init__(self, arg0: typing.Annotated[collections.abc.Sequence[typing.SupportsInt], "FixedSize(0)"], arg1: typing.SupportsInt, arg2: typing.SupportsInt) -> None:
+        ...
+    @typing.overload
+    def __isub__(self, arg0: iScalar) -> iScalar:
+        ...
+    @typing.overload
+    def __isub__(self, arg0: typing.SupportsInt) -> iScalar:
+        ...
+    def __itruediv__(self, arg0: typing.SupportsInt) -> iScalar:
+        ...
+    @typing.overload
+    def __mul__(self, arg0: iScalar) -> iScalar:
+        ...
+    @typing.overload
+    def __mul__(self, arg0: typing.SupportsInt) -> iScalar:
+        ...
+    def __neg__(self) -> iScalar:
+        ...
+    def __pos__(self) -> iScalar:
+        ...
+    def __radd__(self, arg0: typing.SupportsInt) -> iScalar:
+        ...
+    def __repr__(self) -> str:
+        ...
+    def __rmul__(self, arg0: typing.SupportsInt) -> iScalar:
+        ...
+    def __rsub__(self, arg0: typing.SupportsInt) -> iScalar:
+        ...
+    @typing.overload
+    def __sub__(self, arg0: iScalar) -> iScalar:
+        ...
+    @typing.overload
+    def __sub__(self, arg0: typing.SupportsInt) -> iScalar:
+        ...
+    def __truediv__(self, arg0: typing.SupportsInt) -> iScalar:
+        ...
+    def get_axes(self) -> typing.Annotated[list[int], "FixedSize(0)"]:
+        ...
+    def get_data(self) -> list[int]:
+        ...
+    def get_shape(self) -> typing.Annotated[list[int], "FixedSize(0)"]:
+        ...
+    def get_size(self) -> int:
+        ...
+class iTensor3:
+    @typing.overload
+    def __add__(self, arg0: iTensor3) -> iTensor3:
+        ...
+    @typing.overload
+    def __add__(self, arg0: typing.SupportsInt) -> iTensor3:
+        ...
+    @typing.overload
+    def __getitem__(self, arg0: typing.SupportsInt) -> int:
+        ...
+    @typing.overload
+    def __getitem__(self, arg0: tuple) -> int:
+        ...
+    @typing.overload
+    def __iadd__(self, arg0: iTensor3) -> iTensor3:
+        ...
+    @typing.overload
+    def __iadd__(self, arg0: typing.SupportsInt) -> iTensor3:
+        ...
+    @typing.overload
+    def __imul__(self, arg0: iTensor3) -> iTensor3:
+        ...
+    @typing.overload
+    def __imul__(self, arg0: typing.SupportsInt) -> iTensor3:
+        ...
+    @typing.overload
+    def __init__(self, arg0: typing.Annotated[collections.abc.Sequence[typing.SupportsInt], "FixedSize(3)"]) -> None:
+        ...
+    @typing.overload
+    def __init__(self, arg0: typing.Annotated[collections.abc.Sequence[typing.SupportsInt], "FixedSize(3)"], arg1: typing.SupportsInt) -> None:
+        ...
+    @typing.overload
+    def __init__(self, arg0: typing.Annotated[collections.abc.Sequence[typing.SupportsInt], "FixedSize(3)"], arg1: collections.abc.Sequence[typing.SupportsInt]) -> None:
+        ...
+    @typing.overload
+    def __init__(self, arg0: typing.Annotated[collections.abc.Sequence[typing.SupportsInt], "FixedSize(3)"], arg1: typing.SupportsInt, arg2: typing.SupportsInt) -> None:
+        ...
+    @typing.overload
+    def __isub__(self, arg0: iTensor3) -> iTensor3:
+        ...
+    @typing.overload
+    def __isub__(self, arg0: typing.SupportsInt) -> iTensor3:
+        ...
+    def __itruediv__(self, arg0: typing.SupportsInt) -> iTensor3:
+        ...
+    @typing.overload
+    def __mul__(self, arg0: iTensor3) -> iTensor3:
+        ...
+    @typing.overload
+    def __mul__(self, arg0: typing.SupportsInt) -> iTensor3:
+        ...
+    def __neg__(self) -> iTensor3:
+        ...
+    def __pos__(self) -> iTensor3:
+        ...
+    def __radd__(self, arg0: typing.SupportsInt) -> iTensor3:
+        ...
+    def __repr__(self) -> str:
+        ...
+    def __rmul__(self, arg0: typing.SupportsInt) -> iTensor3:
+        ...
+    def __rsub__(self, arg0: typing.SupportsInt) -> iTensor3:
+        ...
+    @typing.overload
+    def __setitem__(self, arg0: typing.SupportsInt, arg1: typing.SupportsInt) -> None:
+        ...
+    @typing.overload
+    def __setitem__(self, arg0: tuple, arg1: typing.SupportsInt) -> None:
+        ...
+    @typing.overload
+    def __sub__(self, arg0: iTensor3) -> iTensor3:
+        ...
+    @typing.overload
+    def __sub__(self, arg0: typing.SupportsInt) -> iTensor3:
+        ...
+    def __truediv__(self, arg0: typing.SupportsInt) -> iTensor3:
+        ...
+    def get_axes(self) -> typing.Annotated[list[int], "FixedSize(3)"]:
+        ...
+    def get_data(self) -> list[int]:
+        ...
+    def get_shape(self) -> typing.Annotated[list[int], "FixedSize(3)"]:
+        ...
+    def get_size(self) -> int:
+        ...
+    def t(self) -> iTensor3:
+        ...
+    @typing.overload
+    def transpose(self, arg0: typing.Annotated[collections.abc.Sequence[typing.SupportsInt], "FixedSize(3)"]) -> iTensor3:
+        ...
+    @typing.overload
+    def transpose(self, arg0: typing.SupportsInt, arg1: typing.SupportsInt) -> iTensor3:
+        ...
+class iVector:
+    @typing.overload
+    def __add__(self, arg0: iVector) -> iVector:
+        ...
+    @typing.overload
+    def __add__(self, arg0: typing.SupportsInt) -> iVector:
+        ...
+    @typing.overload
+    def __getitem__(self, arg0: typing.SupportsInt) -> int:
+        ...
+    @typing.overload
+    def __getitem__(self, arg0: tuple) -> int:
+        ...
+    @typing.overload
+    def __iadd__(self, arg0: iVector) -> iVector:
+        ...
+    @typing.overload
+    def __iadd__(self, arg0: typing.SupportsInt) -> iVector:
+        ...
+    @typing.overload
+    def __imul__(self, arg0: iVector) -> iVector:
+        ...
+    @typing.overload
+    def __imul__(self, arg0: typing.SupportsInt) -> iVector:
+        ...
+    @typing.overload
+    def __init__(self, arg0: typing.Annotated[collections.abc.Sequence[typing.SupportsInt], "FixedSize(1)"]) -> None:
+        ...
+    @typing.overload
+    def __init__(self, arg0: typing.Annotated[collections.abc.Sequence[typing.SupportsInt], "FixedSize(1)"], arg1: typing.SupportsInt) -> None:
+        ...
+    @typing.overload
+    def __init__(self, arg0: typing.Annotated[collections.abc.Sequence[typing.SupportsInt], "FixedSize(1)"], arg1: collections.abc.Sequence[typing.SupportsInt]) -> None:
+        ...
+    @typing.overload
+    def __init__(self, arg0: typing.Annotated[collections.abc.Sequence[typing.SupportsInt], "FixedSize(1)"], arg1: typing.SupportsInt, arg2: typing.SupportsInt) -> None:
+        ...
+    @typing.overload
+    def __isub__(self, arg0: iVector) -> iVector:
+        ...
+    @typing.overload
+    def __isub__(self, arg0: typing.SupportsInt) -> iVector:
+        ...
+    def __itruediv__(self, arg0: typing.SupportsInt) -> iVector:
+        ...
+    def __matmul__(self, arg0: iVector) -> iScalar:
+        ...
+    @typing.overload
+    def __mul__(self, arg0: iVector) -> iVector:
+        ...
+    @typing.overload
+    def __mul__(self, arg0: typing.SupportsInt) -> iVector:
+        ...
+    def __neg__(self) -> iVector:
+        ...
+    def __pos__(self) -> iVector:
+        ...
+    def __radd__(self, arg0: typing.SupportsInt) -> iVector:
+        ...
+    def __repr__(self) -> str:
+        ...
+    def __rmul__(self, arg0: typing.SupportsInt) -> iVector:
+        ...
+    def __rsub__(self, arg0: typing.SupportsInt) -> iVector:
+        ...
+    @typing.overload
+    def __setitem__(self, arg0: typing.SupportsInt, arg1: typing.SupportsInt) -> None:
+        ...
+    @typing.overload
+    def __setitem__(self, arg0: tuple, arg1: typing.SupportsInt) -> None:
+        ...
+    @typing.overload
+    def __sub__(self, arg0: iVector) -> iVector:
+        ...
+    @typing.overload
+    def __sub__(self, arg0: typing.SupportsInt) -> iVector:
+        ...
+    def __truediv__(self, arg0: typing.SupportsInt) -> iVector:
+        ...
+    def get_axes(self) -> typing.Annotated[list[int], "FixedSize(1)"]:
+        ...
+    def get_data(self) -> list[int]:
+        ...
+    def get_shape(self) -> typing.Annotated[list[int], "FixedSize(1)"]:
+        ...
+    def get_size(self) -> int:
+        ...