comment data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAKAAAAB4CAYAAAB1ovlvAAAds0lEQVR4Xu1dB1gU1/b/ze4CCyydpRdpgmIDUSMi2LFgxUSNeRrzNGqKiYnmJZa8tJeXZokmmsQUo/5jjRp7YsFoKBZQKUqR3usWFtg+/29mYWEfLFi/7K5zv88Pd+45d875nd+euffMnVli3l6SBNMYBP4mBAiGgH8T8sxpaQQYAjJE+FsR6JKAXtI0BPr5gs1md2ucjXk9rMxEqG7yv28nVCoVCopKUWIxkPoe3Lc+o2AaCHQi4ATz84ga4Hvf3llYWKDmyjFUJh+FokXSrb5/7xA4zHofcrkcN3NKcVQ8EmqCc9/nZBSMHwEdAro2XsGSETYgSRIEQej9m5mZCR6PB19fX62cs7MTslcPwmB3cxoVtv9TICx4UN45B87AaSClYqhyLmoRa1mVipqaGlp/11UpSrjhxo8m48F9I6BDwGH2ZYh2raUHSU1NRVJSEqysrDBz5kwkJCRAoVDAy8sLJSUlUKvVSEtLQ1xcHGJjY+Hs7Iyq9WEIdDSj9bnPbAQpb4bs6DpYTP03lDkJUOVe0hooWXkVlZWV9Oekenck1rndt/GMgvEjoEPAUPN8jPOso706duwYTRA+n48XX3yRJuHKlSuxZ88eTJgwAVKplCZjVVUVpk+fDgcHB9S+F0ET0GzEC2C5BQMkCVVOAgh7TxA8J8h//1yLmGhFMsrKyujPFPmuN97/Zd/44Wc80CEgtz4Nz/eX0JfFmzdvIjQ0FAEBARCJRDA3N6eznlKppD/b2dnB2toad+/epbOkg70diG2T4WvLuidUa5ZeRHl5OS278wYbLS6R96THCJkWAp0WIb1qfkWYBwFHB7v79tSHI4Yq+0KPeuyASJSyXCEQipFWIkWh29wedRgB00SgyzKMj+gCgi0rwSHUj81rmRLIbuKjwnniYzsHM7DhI/DIyjCWlpbIPfEtxJkXoFapuvW879inwR44jZY5eaUQV9jjDR8pxsLHgsADlWGysrLQ3NyMiIgIbRlGWFsF/oEF8LBpL16bjVwCdUkaVMWpnYwvWXhGW+b56rIUQjumDPNYImzgg+otw5w9exbBwcEQCoWwtbVFcXExvWigCs4sFou+S0KVXgoLC7Fw4ULkpF/HqLR3weW039UwH/8GwOJA/vtnnWDIm/ub9tj3iRIInEcaOFSMeY8DAR0C9rO4i7Ee9fR50tPT6fLLJ598QpdcfHx8UFFRQRPRxcUFZmZm6NWrF3JycugyTFFOBsbeel+HgNxFO+kMKD+/pZPtWbMOao/9lNwEsduYx+EfM6aBI6BDQBtBEuaHKunLKtUo0lFFZ+ovVXqh/lF1wdraWroMQ2VGsVhMX0rzMm9gdNp6WHTIgPp8JyztkDZ2G90tEDXi18o+UNj4GThUjHmPA4FHVobhcDhwk+SCLEvv0U5Ov4kolnJpIv8l7o0GW2b+1yNoJirwt5VhSI4llB7RINmae8dtraS0AiUqT8g491+HNNEYmbRbj6wMow8ladVdlJ7+FlJBVbdAurh5wG/RJjTL5HRm/DHHE01cH5MGn3Hufzak9rQbZtu2bRgyZIhO+aWrXTONjY30VitHR0cUbnwao5zbt2ex/YaBcPCEMu1wJ/ybFh5APWzpOeXpQmukSXoxMTJxBLrdDVNUVESXXGxsbFBdXY1ly5bh4MGDoOZ71MpYJpOBIpu/vz/9lyrRUKUZ6v8hISH0gqV4wyyM82wvTHOf2w51fTHkpz/pBK34ub2oVlrRx5kdMibOvFb39O6GOXfunLbkMmzYMEgkEiQnJ9O1QWoFnJ+fj4KCAnpHDLU/MCYmBkFBQaBISxWqqdIMlQErt87VISC1NYvaGSPdu6ITwoJ5e1Ahs6CPXxF6IUXg+WRE4Qn2Uu9uGAoTKpvV1dXRhPvfRpVkXF1d6cxIkZDKem2Ny+XSGZKSadm9DJEO7X3dYV037xeUNmoe0juVb4libsQTHJonw/VHVobRB5enlRpIP9YjmgQ/APVuQ+m64uU79Sh0n9+jDiNg/Aj8bWWYNuhqG0QoELDQaOENAgSU/DCoecyl1/ipdW8ePPIyjHljBfIu7Ic4P61bCwgWC1GL1kJo1xviRgl+ybJGBSfo3qxmpEwGgXveDUNtOvDz89N5WIlabFC7ojs+nCRJO4Y+GdvBat2TQD2YRO2KkZ//EiB19xeaj1uJu56xdNmloLAEeyWTTAZYxpF7Q0BvGWb37t30COHh4XRhmNrvR/1tq/t5enrSz4NQu2YiIyNpIk6aNAnW+efgcW2r9uxmUYtBcHlQFV6FKj9JxyqKgFnOo7THPs8JuzerGSmTQUBvGaahoYHeakVtxwoMDKT/UhsTqNUutfr19vamjx0+fJh+Mi46Opp+ZsSh9JIOAdlBI2EeuxrS/3sJpEDzEFJbowh4w1bzLIhCocS2shEmAyzjyL0h0G0ZxsnJCfX19doyC1VWcXNzozOfh4cHmpqa6LPk5uaiX79+dIa0zT+LgDs77+nsrNGvItX6KVo2s6AKly2evic9Rsh0EHjkZRh7e3tY39oHKKTdo8QxQ/OgZyEQipBbUIpk9Qgo7ZhFiOlQ69486bIMQ8iE4FSlgFAruhxF75sTWt/ycj/veyOtPaB0GXxv1jJSJocA83YskwupcTnEENC44mVy1jIENLmQGpdDDAGNK14mZy1DQJMLqXE5xBDQuOJlctYyBDS5kBqXQwwBjSteJmctQ0CTC6lxOcQQ0LjiZXLWMgQ0uZAal0MMAY0rXiZnLUNAkwupcTnEENC44mVy1jIENLmQGpdDDAGNK14mZy1DQJMLqXE5xBDQuOJlctYyBDS5kBqXQwwBjSteJmctQ0CTC6lxOcQQ0LjiZXLWMgQ0uZAal0MMAY0rXiZnLUNAkwupcTnEENC44mVy1jIENLmQGpdDDAGNK14mZy1DQJMLqXE5xBDQuOJlctYyBDS5kBqXQwwBjSteJmctQ0CTC6lxOcQQ0LjiZXLWGhABSRC495f7kpQowTK5gDxpDhkIAUmwRUVwEF2DvzO7xxg0tqiRJnSGhe8IsDi6v7jeozIjYFAIGAQBWSARLD6NkdXvIcBFAUsLAmw9ya1ZDhRUK/Be6mA4TdsKDtfGoABljLk/BAyEgGqMJf7ABNFa3CoTYHCAORyt2FAoSFCXWhaLgLk5oAKJxDtyiKUktmQ9Bafp28Hh2t6fx4y0QSFgUASc1rwWhHkLuCygoZZE0p0WiKQkglzN0N/fHFw7QK4C8quU+NflIQwBDYpKD2aMQRFwRsta2NlLIZWQyMlV4NvLIvQNsEB/vgV4bDaq1XKMHmSJwholXjvPEPDBQm5YWgZJwJYmEpfTZPg1TYy1c51hqQDSchW4XtWEl6fbo0KgYghoWDx6YGsMkoAKJYmEDAXulCgQH2aJzDw5zt5uBstSibXznFAhUDMEfOCQG5aiQRKQIAC1GpBL1agqIbE9QQihSoW4oTyMD7Ok54DMJdiwiPSg1hgsASmHlAoSWXkq7DgvxDOjeRgewoUZB8gqVTAEfNCIG5ieQRFwestaWPNawOEQ9C+uy6VAWZEaKcUyDOprhhBPDlQkkF2mwMoEZhFiYFx6IHMMioATxWuRWSnEID8zONmyoVYCWflqbDlVh2fH2mBEHy6u31VA1KzGxgymDvhAETcwJYMh4GDZGfQveAcieROcbFjgtt5hEzcD+ZUK9HLlwN6aQLVQjVqxCruKRsAjfjvYzJ0QA6PU/ZljEASkNiFw69JQdXUPVAp5jx6o1ICaPwD8YQvAMrPsUZ4RMFwEDIKAFDwEqQSp6voHsruEj2ADbLPWn8g2XIAZy7pHwGAIyATqyUSAIeCTGXeD8ZohoMGE4sk0hCHgkxl3g/GaIaDBhOLJNIQh4JMZd4PxmiGgwYTiyTSEIeCTGXeD8ZohoMGE4sk0hCHgY4w7/ejyYxzfFIZmCPiwUSQBspVlWrK1Ma+1r9Pxhz3nY9Q3ZwOrImXYmGwBqfIxnqh1aIaAD4vxPRBQc69bcyKKrIacFef2U2BMwpdoPHMWDS3tlp6OeR1pwRMfFq1O+gwBHxGkHZKeQROsO3f9iULM++tdeKdcBdHUpCMq4TmjuXXr28mYN5ASOvORIMcQ8JHAaBqDjCSSwDs3D0U5lbRDkybMRtjA4fjg+wMI9PaA+dDluNbsC5GVE5rMH80LARgCmgZ3HokXLldfR7yvEHfzc+Ht1QtRkZPA5VrhpU++QV8/XyyIn44WkoPDDX1xudH3kZyTIeAjgdH4B7EgFOhzfgxiBvVHQWEuMm9fQ/zMFxA+KAqVdfVYv30vosNDsWDKaIiU5vi+djBSmzwe2nGGgA8NoWkMYIkWLJZMwfn0QozwHYHgoAGwt+fDysoWqzbvxPZf/wCHzYYV1wLDn/03nKKWo0lt8dDOMwR8aAhNYwCKgDvkz0LSIoW011S4OLlqHauur4dIIsGeujMobSEgsP8QVtyhj8RxhoCPBEbjH6SNgKLT1cCtGmy2WoMQ5W1Mlx/EBqs1CFDlYUzLT/gsjsDJoYMRQZ4GST78C0IZAho/dx6JBxaQ4T/HY2F35jrMGpqwwmkHwmSpWCT5Bm86bkOoPB0vSL6BtJcHPppvg/L+WSDJnl8m2pNxDAF7QugJ6Z976GWMPLsX1mIB7TFFwItW4+GEWpTDF28L3qUJSLU6vgX2vHAQNwdNfWh0GAI+NISmMcA7gQUI5Uqgeu89fHg+AnYrpEgvDsORCzOx4vlNUBRxEPZrIma+6gFW/Cx8VxOExMb2eeKDosAQ8EGRMzG99WOAPi6AujAfr33Ew+lUAjK5BUQSO/AdayCXW2DNrAosfZkHlrs3vkkhcano4W8qMgQ0MSI9qDttBNzylRRbf+Cgup7TaSh3FxU+XkcifgYH21NIXGYI+KBwM3r/i0AwH7C1IHH8WxLX/9SsbkOnnIR16CmUn5iG8tux9LGVq4rw3BweNic7QCBlFiEMkx4hAo6Zn0KUkgSBwAqRgyMwI34gvAf64NS5qzh0KhfN2QXoG9AA/5Hj8JfLSlC/7PKwjdiwL4vkuHl3Oc7d/CL427DBcmntJ9VQl+eD4DmAsHfupCOXK1Cefxe9vNxA2DjQ/WSzGFCptJ87KjU3t6CmpAi+Xh4geHYaeYkQpLAWLFdfwKzzb4BUVNbAslkAB/8g7Q/VkHUVIJy7vi1UWloJO2UjbP16a0+tri4Bwebo1bmTlY0Qd3sQjm4aHYWMtotw6HrSnZt1G0GefBD2fI28tBnqunKwKH2rzj8jIRCIIK2thLuPN8C11vgtrAVhaQ1YWHXCtba2ARDVgO/jB5hr7j6QDdUgmxvB8grsMnYFhSXwslDD3KNXu9+1ZWDxvbqULz2xDtLMA0BTFd0/PyYMfsHRqA99AYSzNy7tXIXMsz/Sfa4OdmCN24Ras1DdWDeJQP2sAcGz73QOkbgR4soyeHl5grDWbGQg2OYgcra+Qlq6dx28hR//jB9eGAWOm+bGs1KhxOVD+xAzMRYsh1awO5yqvE6IL344jA3LZ4Bl66gBqkkMUqXUfu5oWXp+OX757Rw+XjIdLBuN0Tk3boLdWIeA4dEguiDghv3n0YenxqTJ40BQr1IFoK4pA8ula2DX/3ACUwLt8FTMSO2pz+7bh7FjovTqxK3agmNvPw2Ws7vGB7kMZKMALKdWQnZwgvoZiblrvsLe1c+A5ehC91SVlKA8PQ3ho8dowe7o9/GkDBTn5OLluRM1pKN8ENSAsOSB4HYm4M9nrsBCUoc508aBaCVgyu+/o7enMxz7De6SUMs27MVH08LgHBTSTsDqErBcfbqU/9fXO7Fo4mCQ9RV0v5tvX2T8eRlRE8aDZc9HVfEdCKpL2nVtfbDjWAq+WDa9PdYSEUiS1May44kupOUiKfk61i6MA8HTENAyaDiI/KQjpPrbN7o0aklCPXb9tBmyXR/S/c1KNVaWeeCnxWMgP/dLJ51yiRJfq/vh84lBUCQdp/s5A6JAWNlCkXKqk3xGvQyHeUPwYaQLlKnn6P5ddxphP3MJZtRdprPI/7Yvbwox6MXViLm5W/MGSwAWc1dBtm8DRZVO8u9fbUD8+v+i3++fa/vmnW/AkR3/hXRf+7GOirOTlDj+2QrIjm6jD1NB4wyJhfzEjk7jU4AvynXCLyumQv77z3R/YmULkr1H4+0+HCgz/uqkc7KoCTVDZmGxfQ1UeTfofvPxz0GZlwZ10e1O8nuyG2E340VMFyZDXVVE97+dWI+XN30J70MfdBm7V/+sxeffbAF3ryZ2VOMuWAfpro+6lJ91qgonfv4C8v1f0P0yFYnVNb74Zv5wyC/s76RTIVFiGwbg0/H+UCSfoPs54WMAFhvK62c7yV8sa0Ga3xi81ccMyvRLdD9v0lKGgF1FgyGgARFwxRvLsX3T11gQYgOFGki17o234qP0ZsCvGr3h5mwPzp0UDHaxgPuwUQh0d9SbAX8lg2BuxoZ3VTqC7MyQUSdH/38sR2TpRb0ZcODMefh82x6sD9NcvgYuXwPLI5v0ZsAZi1/E+o+3Yk2EZl56rFSBjRs+0J8BL7VgybypSDx8AJN9rcDz6oXwiVP1Z8B0LiZHD0ZhwknEeFiiVKIEMWQi5npBbwasCozCjexCxHMrYckhEBS/CPzyW3ozoM3IOOw58Sfe9NVk/QtlLVj6xZdw2vee3gz40huvYsNnW7A4VHPJi179EeS79WfA1SuXYN+OnzCvN49+FfJN+1CsnBKhNwN+LfEB39EO3JwrGMQ3h2fUePjZc/VmwFSngRA2NiGsMRce1mwEz36lhwx4oRb//uc0fJclph1gkWpM5KsQHRmhl4BbSywwPjIMf1a00DoRYf0R7yDWS8BDDTYYNrg/Uqo0wPKbqjA7Pg6et8/pJWC/8EFIbuZBrtZcchcvfAY+B6lAdH0Jnjo2Eker20sGfcW5eP711/USMP6cEB8siMX+uxJ6fA93V6wYGaCXgAuT5VgxcySOFWq2sdvIRIiL6I3+VnK9BKzgecPa0xfZAs0LOWdMGYeIwrN6CWjtF4xqLh8VTZonhXyEBVjw9jsw3/WuXgK+OX8SfszVxIFq/1kWD9Wuri/Z1CX482Uz8HN2Iy1LkGrEebAwYnA/vQTcWsrFuOGDtLF+akgYpllW6yXgNbUzevcJRmqtjD7HpKmze74E7z7wI5SJx2iFZrkSr54p7HEOuGHRBO3chuXdG2R9ZbdzwI+fiYSqMIs+x86/cmA7dEyPc8CxynxqVUTrmA2bhJYda7udAw6qTNEG4plvzuPwlrXdzgFP7PgIytTzmmDYOdP/upsD7vtwKZTpmvneX3lV+Evh1OMccGkYH+qqYlqH0y8S8qTj3c4BZ7nI6NUy1VbvT8ZL69d0Pwf86Xvw0trn3tQcTbrz/S4JSxHw1JEfobxymu6XUfP986U9zgE/XzgWqrybtA6rV1+oKwq6nQO+HdsP6pJsWt46YkrPBGQWIcwi5LEuQn7c9B7JT/geIQ7U627b212RAvskbnh/wQQozu/VZEClGgszrPD6hIHwL0qCu7VuJfxspRJVvWPwvJcSqjtXaJ1al2DktJihT+0tOHHb5amL5ZEyNeT9R2G+kxiqu5pvEbUKruo7FlGSLERa6z6ZVdOiwoF6HkZPm4bQ9MPaDJgdGgdJwq+IcNHdoVvZpMJegR3i58yCb+IurXNzztbhtWUL4Jb2G/ztdP3OapDjCKcP3o8NgSL5JK3TZO1Mz4d65ZyHJ0/3FtWNWhku8Z/Cm+GOUKZpMia1Cj5AhGC2NxuDW+7CitO+b45aXR6o5MAjagLGy3OhrsindYr9o1Ccm4OR7Fq0Vpfo40KZGodquRgYOwVDK5JACqrp49QqOGL+YoSk7kc/J916aZFYiV/ETli1YCrML+zR+n0lZDocUg6ht72uzzkCBXY1uePTZ6OhvHRYkwFVJBbdtsXLo0MQWJICVyvdWJ+rVKI6eBQWeMihyr5K61S7hSJPrEI/wW3YW7T7TJWq9pWzYDV4NGZZVUNVmEnL06vgeXOfJh0bS+EjzMdwdy7crTUA//e6ABNXvYuwi19pL20UAScnSBE9Ygi8RQVwl9Yhzk+zEKDa04kKHPvsVch+02zbodpNpT0Oyz3h15ALH1KEsd6aOhdVvph7ywpH1jwL+akftPIUAf8gvRDk447+VdcR7GCO0FaATxU3oyJ8OpY6C6DKua7V2S3zRZmUheDaDAzgWyCwlVQH8iRgxy7E04pMqEtztPKzz9Sgb/RouEgq4SEuQayvFazNNICtoMoXO7bBYs+/tfKVai62SwPgKS4GX1KFmYE87T2AZ/+oxuFdWyDd8x+tPEXAT4t5GDQgBCE16fDjKjDcjasJUrMSG6R9sCmuDxRJmqkN1U7J3ZCidMLAyqvwt+UgjK/5Ml2pkiLBNQrrBllDeetPrTxFwJaAcHibK+HfkIMhblx4t345tlClqqVvITr9F6BFM4+l2ofNfWHbXAtvYSFivCy1CWFNcj0Wf7oZ/kfbSzYUASdflGPE8HB6vukqq8PUDrGek6TEkU9egvzYd9rxrykdcFzugcD6O/BlNSHGU/MCeaWaxGsVntixMAby1mRGHacJWJB6hixN+A03VI64c/YkGooLaCW/p0Zi9gAPOGRq6nNUa6sD/vzOAlzLyEF+MxtX97TXxmKeex6TlLlQl7QHm6oDsgMHITGnAgX1Etw8rMmm1Nd8yuIXMVJ0C+qyPO052uqA05xkOCmwRNmt6yi+lkz3O/sHYfr44QgsuQJSVKfVoeqAgts3kaB0QUHyJVRm3aL7XENCMSsmHD4FiSCpKn1ro+qAR/d/izvJfyFLZYfU/bsgbdT0h4ydjOd8CbCy2+eMVB3QPHYhbqTdQoGah8QfvqIr/lTrP3U2nrOvhyo/XTt+Wx1wTWwozhY1orioBNlnNdnU3JqHGfPnILwmFeqaUq0OVQekfhjlaCULFXcyUZCYQPfZeXhhatx4hFZcBdmguUtBNYqAr2zeCm52Mq6onJBz8Q/U3dXg7jP4KcRH+IN/+wLQ4cXvlks/RV7in7iltkf68UNorNY8fhkYPQ5z+jjCOkOTwanWVgf8buUzuJp5F4VSDq7s+lbbHz3/eUymYt3hi03NMdk+IbiUV438ynpknviVlidYLMz85wsY2nAL6koNv6imrQOSe94H4eSGIq+hENu44sKlFPCdHTGfkw916+KAUuhYiFakXYDajo+s3pqb1F9u34Uv1y2H1S+6k9y2QrQq/xak9h7I9Y+h5T/6bBuOfvk2pD/qruK0heiGJIBriRrnIFTxQ9AgFOH4qQRsnhYKReJvWieo/9CF6MNfgeXmiwrXfqhz9ENefjEybufgg+F87WKiTamtEC079QN9+yw7cCzkZlY4cOQ0xsQMx6iMvYC0/fJPuPrAbEgsFInHQNjYI72PZiPmdzsPYNmiueh75jMdezoWoqliutjRB0VeQ2iZdR9txumPl0J25GsdnbZCNHXbst7RF+VuA+j+jV/9hD2vxGmL3G1KbYVon5MbQfA9UeIZDqGtJxKv3KB/4HsZX6hzlaC+LpYL1tE4EY6uyO8VhSZLB5z64xL6hgRgmqC9yN2RgFQhWnHrEkgbJ2S2vhlh09c7sXndS7DZp7uibitEU4uMJkdv5PtG0ua+894G/L5pJeQHNur4TBOw4s5VkjivqeC3tSvVMihDozCSVaXzLd14UwgbLz8sH9MPyvTLOjq7cxoxZ/ELML98UHucmrNdYPlifn8XqHLTdOS/zRLjlVeXQNGhyp4nVODrDBGemzsdQxqzQYrrtToiuZpO7wsjvKHKvqY9/lthE0InxyMw+3dtVqI6iyVKXOMGYE6wLVT5GVr5/XkSpDaosOmNf9CE6tjOlDTDZ8xU9C1J1N5lofo3F5lhVXx0JyIfvCvB8Kfnw+sGNY4mI6oBvHG5DmNHDccMLzZUxZoVX1vbmKPEW/+Ig/LqmR7xpgS2V9ng1YnhUN5sv/xeLJfiaIEE61cvh1NKO96U/I06ORp6RWC8XRN9376tfZMpxrLlzwOXNXO8tnapQgrroeMQIckFKazRHv8kVQjXgCAsGdkbyoxEHR2qVDPnn4vATTykPV7RpEIyNwDP9LYDlWx0fL4lxlvLn4UySXPHhGrp9XJU+Y/C/wNhc8bcH0Au8wAAAABJRU5ErkJggg==data:image/png;base64,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velocity0Mario 1

Takes a text string as input, and reports a new text string containing all but the first character of the input.

pt:_ sem o primeiro caractere resulti2

Takes a text string as input, divides it into words treating one or more spaces as a word separator (only spaces count; punctuation is part of the word) and reports a text string containing all but the first word, with one space between words and no spaces at the beginning or end. (Note: consider using SENTENCE->LIST and processing the resulting list instead of doing recursion on sentences in text string form. List operations are faster.)

pt:_ sem a primeira palavra

Takes a text string as input, and reports a new text string containing all but the last letter of the input.

pt:_ sem o último caractere resulti1

Takes a text string as input, divides it into words treating one or more spaces as a word separator (only spaces count; punctuation is part of the word) and reports a text string containing all but the last word, with one space between words and no spaces at the beginning or end. (Note: consider using SENTENCE->LIST and processing the resulting list instead of doing recursion on sentences in text string form. List operations are faster.)

pt:_ sem a última palavra 1 1 11 1

pt:a primeira palavra de _

Takes a text string as input, and reports the last character in the string.

pt:o último caractere de _

pt:a última palavra de _ 1 1

Takes a text string as input, and reports TRUE if the string has no characters in it of any kind, otherwise false.

pt:a palavra _ está vazia

Takes a text string as input, and reports TRUE if the input contains no characters other than spaces (therefore, no words when the string is considered as a sentence), otherwise FALSE.

pt:a frase _ está vazia

de:füge Wörter zusammen _ ca:uneix les paraules _ es:unir las palabras _ fr:fusionne les mots _ pt:uma frase com as palavras _ 121

de:Liste $arrowRight Satz _ ca:llista $arrowRight frase _ es:lista $arrowRight frase _ fr:liste $arrowRight phrase _ pt:uma frase com as palavras em _

de:Satz $arrowRight Liste _ ca:frase $arrowRight llista _ es:frase $arrowRight lista _ fr:phrase $arrowRight liste _ pt:uma lista com as palavras da frase _

report a list in which each item is one letter from the input word

de:Wort $arrowRight Liste _ ca:paraula $arrowRight llista _ es:palabra $arrowRight lista _ fr:mot $arrowRight liste _ pt:uma lista com os caracteres da palavra _

join all the items of the input list into a single word, and report it

de:Liste $arrowRight Wort _ ca:llista $arrowRight paraula _ es:lista $arrowRight palabra _ fr:liste $arrowRight mot _ pt:uma palavra com os caracteres em _

-0.5000