Rainbow Tensor 1.2.0

Added

• Scalar sources with shape () and empty sources with zero-length dimensions work across shape views, indexing, transforms, arithmetic previews, and memory inspection
• Empty sums and contractions produce zero, empty means show NaN, and empty outputs have no trace or focus controls
• Scalar take indices remove an axis, and scalar inputs support repeat, take, stacking, and broadcasting
• A scalar and empty tensor notebook compares one value, zero values, empty contribution groups, and empty results
• sum and mean accept an omitted axis or axis=None for all axes, a tuple of axes, negative axes, and an empty tuple for an unchanged shape
• Keyword-only keepdims=True retains reduced axes at length one for broadcasting, with those result dimensions marked in the highlight colour
• Multi-axis focus identifies the full source group, reports the product of reduced dimensions as the mean divisor, and traces terms in source row-major order regardless of axis tuple order
• Reduction metadata records normalized axes, keepdims, and the number of source terms per output
• A beginner notebook connects reduction shapes to row normalisation, broadcasting, output traces, and optional interactive controls

Changed

• Custom renderers receive scalar panel shapes and coordinates as () instead of the former (1,) display surrogate
• Empty previews avoid element reads and large coordinate or repeat allocations
• Multi-axis source selections and traces stay compact, including when the contributing group is too large to evaluate within the preview budgets
• CPU backend, interactive, and installed-distribution checks cover all-axis, multi-axis, and empty-axis reductions with and without retained dimensions

Fixed

• Scalar sum and mean captions show the logical result shape () instead of the single-cell display shape (1)