BUG: fix asarray failure for object dtype with matching leading dimensions

[Sarthak7Gautam]

Summary

This PR fixes a ValueError in np.asarray when providing a list of arrays that share a common leading dimension but have different subsequent dimensions when dtype=object is specified.

The Problem

Currently, np.asarray([a, b], dtype=object) fails if a.shape is (10, 10) and b.shape is (10, 9). NumPy incorrectly attempts to broadcast these into a higher-dimensional array because the first dimensions match, rather than falling back to a 1D object array.

Example of the failure:

import numpy as np
a = np.ones((10, 10))
b = np.ones((10, 9))
# This currently raises ValueError
np.asarray([a, b], dtype=object)

I have updated the array creation logic in [main.py , numpy/core/src/multiarray/methods.c] to ensure that when dtype=object is requested, NumPy prioritizes creating a ragged object array if subsequent dimensions do not match.
Fixes #30830