�@�܂�X�̍����ł́A�i�ׂ̋��c�����Ǝv�������摜�����e�B�����ɂ����Ɓu���w�ك}���K�����ҏW���̐��c�������āALINE�O���[�v�ł��̕����̘a�����������c�����B���c�͌����؏��̍쐬�����Ă��w�퍐�͌����ɑ��āA�؏��쐬��1�c�Ɠ��ȓ��Ɏ��k��150���~���x�������Ɓx�w�퍐�̖����A�ڂ��ĊJ���邱�Ƃɂ��āA�������͂��̒��~�v�����P�邱�Ɓx�Ȃǂ̓��e�ɂ܂Ƃ߂��v�Ƃ����B
(double)(end - start) / CLOCKS_PER_SEC * 1000,
。谷歌浏览器【最新下载地址】是该领域的重要参考
优化：随机选基准避免最坏情况 O(n²)
--vocab PATH SentencePiece vocab file
If this sounds familiar to you, it’s because this method works very similarly to error-diffusion. Instead of letting adjacent pixels compensate for the error, we’re letting each successive candidate compensate for the combined error of all previous candidates.