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/F:file Reads file list from the specified file(/ stands for console). /C:string Uses specified string as a literal search string. /G:file Gets search strings from the specified file(/ stands for console). /D:dir Search a semicolon delimited list of directories; Note: Following command displays the detailed help about this command: FINDSTR /?
Words A 'word' is the character string between commas. This can be all characters and inner spaces: {{Str find word |source=alpha, foo bar sunday, bar |word=foo bar sunday}} (True) → foo bar sunday
In computing, a here document (here-document, here-text, heredoc, hereis, here-string or here-script) is a file literal or input stream literal: it is a section of a source code file that is treated as if it were a separate file.
The algorithm attempts to find the same word, but in all its word endings. A fuzzy search will match a different word. Words (but not phrases) accept approximate string matching or "fuzzy search". A tilde ~ character is appended for this "sounds like" search. The other word must differ by no more than two letters. Not the first two letters.
A basic search string is simply the topic you are interested in reading about. A direct match of a basic search string will navigate you directly to Wikipedia's article that has that title. A non-match, or any other type of search string will take you to Wikipedia's search results page, where the results of your search are displayed.
Node.js programs are invoked by running the interpreter node interpreter with a given file, so the first two arguments will be node and the name of the JavaScript source file. It is often useful to extract the rest of the arguments by slicing a sub-array from process.argv. [11]
A simple and inefficient way to see where one string occurs inside another is to check at each index, one by one. First, we see if there is a copy of the needle starting at the first character of the haystack; if not, we look to see if there's a copy of the needle starting at the second character of the haystack, and so forth.
In text retrieval, full-text search refers to techniques for searching a single computer-stored document or a collection in a full-text database.Full-text search is distinguished from searches based on metadata or on parts of the original texts represented in databases (such as titles, abstracts, selected sections, or bibliographical references).