v0.8.0

Added

• Add optional NumPy >= 2.1 support through unitx[numpy], with one Quantity
  wrapping an entire plain numeric ndarray or NumPy numeric scalar. Preserve
  input objects in both array * unit and unit * array construction.
• Support unit-aware conversion, broadcasting arithmetic and comparisons,
  matrix multiplication, indexing, iteration, array metadata, transpose, and
  flattening. Preserve NumPy scalar indexing and view/copy behavior.
• Implement a documented set of NumPy ufuncs and functions, including roots,
  dimensionless transcendental functions, concatenation, statistics, predicates,
  and position queries. Keep exact unit exponents and ScaledUnit factors.
• Extend Quantity.isclose with symmetric array comparisons and broadcasting
  tolerances; implement NumPy isclose/allclose with their own defaults and
  asymmetric formula. Validate tolerance dimensions, finiteness, and signs.
• Add runtime and installed-consumer typing coverage, import-order and optional
  dependency checks, and CI jobs for minimum and current NumPy versions.

Changed

• Define Scalar, Array, and Magnitude = Scalar | Array in _numerics.
  Preserve concrete magnitude types at construction and in unit-only operations;
  use conservative result types for array numerical operations.
• Keep Python scalar arithmetic, Decimal behavior, and exact scalar comparisons
  independent of the optional NumPy adapter. Array conversion follows the
  documented NumPy promotion, rounding, and overflow rules.

NumPy scope

• Document the supported function/keyword matrix and precision/storage rules in
  docs/numpy.md. Other array backends, ndarray subclasses, object/boolean
  magnitudes, and implicit list/tuple conversion are unsupported.
• Reject implicit unit removal by np.asarray(q) or np.array(q); use .value
  or .value_in(unit) explicitly. NumPy magnitudes produce unhashable Quantities.
• Reject writable out, item assignment, and operations that would require
  heterogeneous units. Python augmented assignment creates and rebinds a result.