小慕正在开发公司的知识图谱系统，现在需要通过挖掘来完善知识图谱。 新词挖掘：给出一个待挖掘文本内容字符串content和一个词的字符串word，找到content中所有word的新词。 新词：使用词word的字符排列形成的字符串。 请帮小慕实现新词挖掘，返回发现的新词的数量。
提示：带虚线的词点一下有通俗解释。
输入描述
<div data-page-id="VTSOdizRsoJ23QxOHSHcDs6Enkd" data-docx-has-block-data="false"> <div style="white-space-collapse:preserve;" class="ace-line ace-line old-record-id-XoySdYeOwoKoGUxGIFwc1eQvnWm"> 第一行输入为待挖掘的文本内容<code>content</code>； 第二行输入为词<code>word</code>； </div> </div> <span data-lark-record-data="{"rootId":"VTSOdizRsoJ23QxOHSHcDs6Enkd","text":{"initialAttributedTexts":{"text":{"0":"第一行输入为待挖掘的文本内容content；\n第二行输入为词word；"},"attribs":{"0":"*0+e*0*1+7*0|1+2*0+7*0*1+4*0+1"}},"apool":{"numToAttrib":{"0":["author","7115054903550050305"],"1":["inlineCode","true"]},"nextNum":2}},"type":"text","referenceRecordMap":{},"extra":{"mention_page_title":{},"external_mention_url":{}},"isKeepQuoteContainer":false,"isFromCode":false,"selection":[{"id":6,"type":"text","selection":{"start":0,"end":35},"recordId":"XoySdYeOwoKoGUxGIFwc1eQvnWm"}],"payloadMap":{},"isCut":false}" data-lark-record-format="docx/text" class="lark-record-clipboard"></span>
输出描述
<div data-page-id="VTSOdizRsoJ23QxOHSHcDs6Enkd" data-docx-has-block-data="false"> <div style="white-space-collapse:preserve;" class="ace-line ace-line old-record-id-FS8SdgqQkoSwWsxcp18czy22nBb"> 在中找到的所有<code>word</code>的新词的数量。 </div> </div> <span data-lark-record-data="{"rootId":"VTSOdizRsoJ23QxOHSHcDs6Enkd","text":{"initialAttributedTexts":{"text":{"0":"在中找到的所有word的新词的数量。"},"attribs":{"0":"*0+7*0*1+4*0+7"}},"apool":{"numToAttrib":{"0":["author","7115054903550050305"],"1":["inlineCode","true"]},"nextNum":2}},"type":"text","referenceRecordMap":{},"extra":{"mention_page_title":{},"external_mention_url":{}},"isKeepQuoteContainer":false,"isFromCode":false,"selection":[{"id":8,"type":"text","selection":{"start":0,"end":18},"recordId":"FS8SdgqQkoSwWsxcp18czy22nBb"}],"payloadMap":{},"isCut":false}" data-lark-record-format="docx/text" class="lark-record-clipboard"></span>
示例
示例 1
输入
qweebaewqd qwe
输出
2
时间限制 1000 ms · 内存限制 128 MB