回答編集履歴
2
追記
test
CHANGED
@@ -93,3 +93,71 @@
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分かり易いと思う方を使えば良いのではないでしょうか。
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なぜ reshape(3, -3) でも動作するか?
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---
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実装で dimensions[i] == -1 ではなく dimensions[i] < 0 が判定に用いられているから。
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> ```C
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> for (i = 0; i < n; i++) {
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if (dimensions[i] < 0) {
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if (i_unknown == -1) {
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i_unknown = i;
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}
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else {
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PyErr_SetString(PyExc_ValueError,
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"can only specify one unknown dimension");
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return -1;
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}
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}
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else if (npy_mul_with_overflow_intp(&s_known, s_known,
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dimensions[i])) {
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raise_reshape_size_mismatch(newshape, arr);
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return -1;
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}
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}
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> if (i_unknown >= 0) {
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if (s_known == 0 || s_original % s_known != 0) {
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raise_reshape_size_mismatch(newshape, arr);
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return -1;
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}
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dimensions[i_unknown] = s_original / s_known;
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}
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> ```
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[numpy/shape.c at v1.17.4 · numpy/numpy · GitHub](https://github.com/numpy/numpy/blob/v1.17.4/numpy/core/src/multiarray/shape.c#L472)
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修正
test
CHANGED
@@ -2,11 +2,11 @@
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> **newshape : int or tuple of ints**
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> #####**newshape : int or tuple of ints**
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The new shape should be compatible with the original shape. If an integer, then the result will be a 1-D array of that length.
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The new shape should be compatible with the original shape. If an integer, then the result will be a 1-D array of that length.
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In this case, the value is inferred from the length of the array and remaining dimensions.
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**One shape dimension can be -1**. In this case, the value is inferred from the length of the array and remaining dimensions.
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