Fixed type declations and unused imports

src/seemps/hamiltonians.py

@@ -6,7 +6,7 @@
 import scipy.sparse as sp  # type: ignore
 from abc import abstractmethod
 from .mpo import MPO
-from .state import schmidt, DEFAULT_STRATEGY, Strategy
+from .state import DEFAULT_STRATEGY, Strategy
 from .state.core import _destructive_svd, destructively_truncate_vector
 from .typing import Operator, Vector
 from .tools import σx, σy, σz

src/seemps/state/canonical_mps.py

@@ -4,7 +4,6 @@
 from typing import Optional, Sequence, Iterable
 from ..typing import Vector, Tensor3, Tensor4, VectorLike, Environment
 from . import environments, schmidt
-from ._contractions import _contract_last_and_first
 from seemps.state.core import (
     DEFAULT_STRATEGY,
     Strategy,

src/seemps/state/core.pyi

@@ -68,5 +68,21 @@ def update_left_environment(
 def end_environment(rho: Environment) -> Weight: ...
 def join_environments(rhoL: Environment, rhoR: Environment) -> Weight: ...
 def scprod(bra: MPS, ket: MPS) -> Weight: ...
+def _svd(A: np.ndarray) -> tuple[np.ndarray, np.ndarray, np.ndarray]: ...
+def left_orth_2site(
+    AA: Tensor4, strategy: Strategy
+) -> tuple[Tensor3, Tensor3, float]: ...
+def right_orth_2site(
+    AA: Tensor4, strategy: Strategy
+) -> tuple[Tensor3, Tensor3, float]: ...
+def _destructive_svd(A: np.ndarray) -> tuple[np.ndarray, np.ndarray, np.ndarray]: ...
+def schmidt_weights(A: np.ndarray) -> np.ndarray: ...
+def _update_in_canonical_form_left(
+    state: list[Tensor3], A: Tensor3, site: int, truncation: Strategy
+) -> tuple[int, float]: ...
+def _update_in_canonical_form_right(
+    state: list[Tensor3], A: Tensor3, site: int, truncation: Strategy
+) -> tuple[int, float]: ...
+def _canonicalize(state: list[Tensor3], center: int, truncation: Strategy) -> float: ...
 
 from .mps import MPS  # noqa: E402

src/seemps/state/schmidt.py

@@ -2,20 +2,18 @@
 import numpy as np
 import math
 from math import sqrt
-from typing import Sequence, Any, Callable
+from typing import Sequence
 from numpy.typing import NDArray
-from ..typing import VectorLike, Tensor3, Vector
+from ..typing import VectorLike, Tensor3
 from .core import (
     Strategy,
-    destructively_truncate_vector,
     DEFAULT_STRATEGY,
-    _destructive_svd,
     schmidt_weights,
     left_orth_2site,
     right_orth_2site,
 )
-from scipy.linalg import svd, LinAlgError  # type: ignore
-from scipy.linalg.lapack import get_lapack_funcs  # type: ignore
+
+__all__ = ["schmidt_weights", "left_orth_2site", "right_orth_2site", "vector2mps"]
 
 
 def vector2mps(