search

问题 Follows this page https://www.jetbrains.com/help/pycharm/2016.1/find-and-replace-in-path.html?origin=old_help#mask , it should be able to exclude many files using "!" symbol in front of the regular pattern like: *.java, when doing text search inside IntelliJ projects. On my project, when I fired Ctrl + Shift + F to do text search for string xyz. There's over 100+ results return in both *.ftl and *.java files. I tried to reduce the results on only ftl files by changing the "File mask(s)"

问题 I am doing a multilingual search. And I will use lucene as the tool to do it. I have the translated contents already, there will be 3 or 4 languages of each document. For indexing and search, there could be the 4 strategies, For each document/contents: each language are indexed in different index/directory. each language are indexed in different document but in the same index. each language are indexed in different Field but in the same document. all the languages are indexed in the same

问题 Is HABTM supported by Ransack? Having the models: Shop HABTM Categories Category HABTM Shops Can I use ransack to search a Shop by a single category? What does the form look like? 回答1: I think the field you're trying to use would be :categories_id_eq Usage would be something like this <%= f.label :categories_id_eq, "Category" %> <%= f.collection_select :categories_id_eq, Category.order(:title), :id, :title %> 回答2: You should be aware that there are gotchas: while this workds fine :categories

问题 I am very fond of the keyboard shortcuts built into Visual Studio. One of my favorites is Ctrl+i , which triggers the incremental search . It jumps over the text in the current document as I fill in the searchword. After the desired searchword is typed, I use F3 to jump through the matches. It works fine, except that is is limited to searching in the current document . Also, triggering incremental search, automatically changes the Look In option in the Find And Replace dialog to Current

问题 I am very fond of the keyboard shortcuts built into Visual Studio. One of my favorites is Ctrl+i , which triggers the incremental search . It jumps over the text in the current document as I fill in the searchword. After the desired searchword is typed, I use F3 to jump through the matches. It works fine, except that is is limited to searching in the current document . Also, triggering incremental search, automatically changes the Look In option in the Find And Replace dialog to Current

问题 I have a list of around 300k common words stored in an array. So, 1 element of the array = 1 word. On the other side, I have a huge list of strings that MAY contain one or more of these 300k words inside them. A sample string would be: ifdxawesome453 . Now, I need to check each of these long strings against the common words. If a word is found within that string, immediately return. So, I need to check the 300k words again ifdxawesome453 and see if any of them is contained within it. So what

问题 I have created indices on daily basis to store the search history and i am using those indices for the suggestions in my applciation, which helps me to suggest based on history as well. now i have to maintain only last 10 days of history. So is there any feature in Elastic search that allows me to create and delete indices periodically? 回答1: The only thing I can think of is using data math: https://www.elastic.co/guide/en/elasticsearch/reference/current/date-math-index-names.html In sense you

问题 I have a list of cells with text strings (notes) and I need to check each cell if it contains a word from the search list. Each note will only contain one of the search words. If a note contain a search word, the function need to return a Level 1 text and a Level 2 text. If a note does not contain any of the search Words, the function must return "No L1" and "No L2". The note can contain the search word in any part of the textstring and it can contain both letters, numbers and basic signs

问题 1-)For sorted array I have used Binary Search. We know that the worst case complexity for SEARCH operation in sorted array is O(lg N), if we use Binary Search, where N are the number of items in an array. What is the worst case complexity for the search operation in the array that includes duplicate values, using binary search?? Will it be the be the same O(lg N)?? Please correct me if I am wrong!! Also what is the worst case for INSERT operation in sorted array using binary search?? My guess

问题 I have a page on my site which has a list of things which gets updated frequently. This list is created by calling the server via jsonp, getting json back and transforming it into html. Fast and slick. Unfortunately, Google isn't able to index it. After reading up on how to get this done according to Google's AJAX crawling guide, I am bit confused and need some clarification and confirmation: The ajax pages need to be implement the rules only, right? I currently have a rest url like [site]