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NDArray: go-ndarray v0.12.0 (Repr prints exactly what NumPy prints) #821

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Merged
tannevaled merged 1 commit into from
Oct 17, 2026
Merged

NDArray: go-ndarray v0.12.0 (Repr prints exactly what NumPy prints) #821

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2 changes: 1 addition & 1 deletion go.mod
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Original file line number Diff line number Diff line change
Expand Up @@ -16,7 +16,7 @@ require (
github.com/go-kramdown/kramdown v0.2.0
github.com/go-liquid/liquid v0.1.1
github.com/go-mustache/mustache v0.1.0
github.com/go-ndarray/ndarray v0.11.0
github.com/go-ndarray/ndarray v0.12.0
github.com/go-nokogiri/nokogiri v0.1.0
github.com/go-rouge/rouge v0.3.0
github.com/go-ruby-aasm/aasm v0.0.0-20260717061120-cec0976ec205
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4 changes: 2 additions & 2 deletions go.sum
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Expand Up @@ -291,8 +291,8 @@ github.com/go-logr/stdr v1.2.2 h1:hSWxHoqTgW2S2qGc0LTAI563KZ5YKYRhT3MFKZMbjag=
github.com/go-logr/stdr v1.2.2/go.mod h1:mMo/vtBO5dYbehREoey6XUKy/eSumjCCveDpRre4VKE=
github.com/go-mustache/mustache v0.1.0 h1:WvnpPlBn8/v1dwVzp7XvzF5dDC1agYMzPyCl1MdPVzY=
github.com/go-mustache/mustache v0.1.0/go.mod h1:jXns/eIBKrnaFbE8BXX44VrTLp92732R0oXBiZC+v/Q=
github.com/go-ndarray/ndarray v0.11.0 h1:HMW7rAI25wSNNgVxOFTYCz48vW/wIBRT8IN17DNZHQ8=
github.com/go-ndarray/ndarray v0.11.0/go.mod h1:ZcgNCBVLXt1FxeZjQWI5Z+k0SSWAT0/wR8slfat/gRA=
github.com/go-ndarray/ndarray v0.12.0 h1:4xfl9ZQo1m0UXopo06KypELg1wUYgQb5kdKaJPZAZus=
github.com/go-ndarray/ndarray v0.12.0/go.mod h1:ZcgNCBVLXt1FxeZjQWI5Z+k0SSWAT0/wR8slfat/gRA=
github.com/go-nokogiri/nokogiri v0.1.0 h1:3Q3BewGHK16Bt34ggJeyf9xeIMJyA3dmfbIxARPgR9U=
github.com/go-nokogiri/nokogiri v0.1.0/go.mod h1:zjghooYIK8Xfg+fL4/OUhROslx51xGsM3JKtB2TI0tg=
github.com/go-opentype/fonts v0.10.0 h1:9f7ik795SlBEJjz6iqBE/ZV2PaTauAj537MMWw9t4OQ=
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4 changes: 3 additions & 1 deletion internal/vm/ndarray_test.go
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Expand Up @@ -213,7 +213,9 @@ func TestNDArrayContract(t *testing.T) {
{m + `p m`, "array([[0., 1., 2.],\n [3., 4., 5.]])\n"}, // repr(np.arange(6.).reshape(2, 3))
{m + `puts m.to_s`, "array([[0., 1., 2.],\n [3., 4., 5.]])\n"},
{`p NDArray.arange(3)`, "array([0., 1., 2.])\n"},
{`p NDArray.zeros(0)`, "array([])\n"},
// NumPy always prints the dtype of an empty array (arrayprint.py,
// _array_repr_implementation: dtype= when arr.size == 0).
{`p NDArray.zeros(0)`, "array([], dtype=float64)\n"},
{m + `p [m.shape, m.ndim, m.size]`, "[[2, 3], 2, 6]\n"},
}
for _, c := range cases {
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