Fix Grid.moments Cartesian orders on 1D grids

[Copilot]

Grid.moments(..., type_mom="cartesian") raised AttributeError: module 'numpy' has no attribute 'int' on grids with 1D point arrays (shape (N, 1)), since np.int was removed in NumPy 1.24. The dim == 1 branch also returned the wrong shape (arange(0, order+1) instead of a single row), which would have broken np.vstack in Grid.moments even with a valid dtype.

• generate_orders_horton_order (src/grid/utils.py): dim == 1 branch now returns np.array([[order]]), matching the row shape produced by the dim == 2 and dim == 3 branches.
• Tests: added coverage for generate_orders_horton_order at dim=1/2/3, and a test_moments_cartesian case exercised across 1D/2D/3D Grid point arrays.

import numpy as np
from grid.basegrid import Grid

pts = np.linspace(-1, 1, 5)[:, None]
grid = Grid(pts, np.full(5, 0.4))
grid.moments(2, np.array([[0.0]]), pts[:, 0] ** 2, "cartesian")  # now returns correctly shaped moments

• Fixes Grid.moments with Cartesian orders fails on 1D grids #334

[Copilot]

Copilot review overview

🟢 Approval recommended

The implementation matches the documented order semantics and includes targeted regression coverage.

Review effort: Balanced
Findings: None

What changed in this PR

Fixes Cartesian moment-order generation for 1D grids while preserving multidimensional behavior.

Changes:

• Returns correctly shaped Cartesian orders for 1D grids.
• Adds utility and integration-level regression tests across 1D–3D grids.
• Ignores setuptools-scm’s generated version file.

File	Description
src/​grid/​utils.py	Corrects 1D Cartesian order generation.
src/​grid/​tests/​test_utils.py	Tests Cartesian orders across dimensions.
src/​grid/​tests/​test_grid.py	Tests Cartesian moments on 1D–3D grids.
.gitignore	Excludes generated version metadata.

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