Fixed Missing get_nth_curve_length_pieces in OpenGLVMobject (#2707)

* fix(opengl_vectorized_mobject): removed double definition of get_nth_curve_function_with_length

* fix(opengl_vectorized_mobject): added definition of get_nth_curve_length_pieces from VMobject to OpenGLVMobject

Author: MrDiver

manim/mobject/opengl/opengl_vectorized_mobject.py

@@ -3,7 +3,7 @@
 import itertools as it
 import operator as op
 from functools import reduce, wraps
-from typing import Callable, Iterable, Sequence
+from typing import Callable, Iterable, Optional, Sequence
 
 import moderngl
 import numpy as np
@@ -826,12 +826,28 @@ def get_nth_curve_length(
 
         return length
 
-    def get_nth_curve_function_with_length(
+    def get_curve_functions(
+        self,
+    ) -> Iterable[Callable[[float], np.ndarray]]:
+        """Gets the functions for the curves of the mobject.
+
+        Returns
+        -------
+        Iterable[Callable[[float], np.ndarray]]
+            The functions for the curves.
+        """
+
+        num_curves = self.get_num_curves()
+
+        for n in range(num_curves):
+            yield self.get_nth_curve_function(n)
+
+    def get_nth_curve_length_pieces(
         self,
         n: int,
         sample_points: int | None = None,
-    ) -> tuple[Callable[[float], np.ndarray], float]:
-        """Returns the expression of the nth curve along with its (approximate) length.
+    ) -> np.ndarray:
+        """Returns the array of short line lengths used for length approximation.
 
         Parameters
         ----------
@@ -842,40 +858,18 @@ def get_nth_curve_function_with_length(
 
         Returns
         -------
-        curve : typing.Callable[[float], np.ndarray]
-            The function for the nth curve.
-        length : :class:`float`
-            The length of the nth curve.
+        np.ndarray
+            The short length-pieces of the nth curve.
         """
-
         if sample_points is None:
             sample_points = 10
 
         curve = self.get_nth_curve_function(n)
-
         points = np.array([curve(a) for a in np.linspace(0, 1, sample_points)])
         diffs = points[1:] - points[:-1]
         norms = np.apply_along_axis(np.linalg.norm, 1, diffs)
 
-        length = np.sum(norms)
-
-        return curve, length
-
-    def get_curve_functions(
-        self,
-    ) -> Iterable[Callable[[float], np.ndarray]]:
-        """Gets the functions for the curves of the mobject.
-
-        Returns
-        -------
-        Iterable[Callable[[float], np.ndarray]]
-            The functions for the curves.
-        """
-
-        num_curves = self.get_num_curves()
-
-        for n in range(num_curves):
-            yield self.get_nth_curve_function(n)
+        return norms
 
     def get_curve_functions_with_lengths(
         self, **kwargs