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问题 Why are there jagged edges on some of the texts and images in the app i am developping? I have tried to go through the frames, and i have not used a division to set a frame (so the 1.134234 is not an issue), and I have tried different antialiasing methods. Does anybody have an idea? See attached for an example. EDIT: The images become jagged, when downscaled. So either resize them to fit the size directly in the actual file, OR via code as suggested in other StackOverflow questions. Now

问题 I need to insert Column Name, Department, into its value. i have code like here: Department <- c("Store1","Store2","Store3","Store4","Store5") Department2 <- c("IT1","IT2","IT3","IT4","IT5") x <- c(100,200,300,400,500) Result <- data.frame(Department,Department2,x) Result The expected result is like: Department <- c("Department_Store1","Departmentz_Store2","Department_Store3","Department_Store4","Department_Store5") Department2 <- c("Department2_IT1","Department2_IT2","Department2_IT3",

问题 I need to insert Column Name, Department, into its value. i have code like here: Department <- c("Store1","Store2","Store3","Store4","Store5") Department2 <- c("IT1","IT2","IT3","IT4","IT5") x <- c(100,200,300,400,500) Result <- data.frame(Department,Department2,x) Result The expected result is like: Department <- c("Department_Store1","Departmentz_Store2","Department_Store3","Department_Store4","Department_Store5") Department2 <- c("Department2_IT1","Department2_IT2","Department2_IT3",

问题 for s_index, s in enumerate(sentences): s_tokens = s.split() if (local_q_set.intersection(set(s_tokens)) == local_q_set): q_results.append(s_index) The code snippet above is the core algorithm I used to find relevant sentences in massive text data that include all tokens in the query. For example, for a query "happy apple", it finds all sentences that include exactly one or more of all of the given tokens, (i.e. "happy" and "apple"). My method is very simple: find common intersecting sets and

问题 for s_index, s in enumerate(sentences): s_tokens = s.split() if (local_q_set.intersection(set(s_tokens)) == local_q_set): q_results.append(s_index) The code snippet above is the core algorithm I used to find relevant sentences in massive text data that include all tokens in the query. For example, for a query "happy apple", it finds all sentences that include exactly one or more of all of the given tokens, (i.e. "happy" and "apple"). My method is very simple: find common intersecting sets and

问题 I have a button on a C# Windows Form form, and want to show an image and some text, side by side, and centered on the button. I tried aligning the image to the left and the text to the right, and I'm getting this (the periods are spaces): |[IMAGE}.................Text| But I want this: |........[IMAGE] Text........| My code looks like this: btnChangeStatus.Text = "Change status to SUPPRESSED"; btnChangeStatus.TextAlign = ContentAlignment.MiddleRight; btnChangeStatus.Image=Image.FromFile(@"J:

问题 I'M trying to create a text index without a default language. The official docs specify If you specify a language value of "none", then the text search uses simple tokenization with no list of stop words and no stemming. Hence I tried: createIndex({aliases : "text"}, {name : "aliases_txt"}, {default_language: "none"}) However the created index ignores my option and has "english" as default language: { "v": 1, "key": { "_fts": "text", "_ftsx": 1 }, "name": "aliases_txt", "ns": "ner-dict.ents",

问题 I'M trying to create a text index without a default language. The official docs specify If you specify a language value of "none", then the text search uses simple tokenization with no list of stop words and no stemming. Hence I tried: createIndex({aliases : "text"}, {name : "aliases_txt"}, {default_language: "none"}) However the created index ignores my option and has "english" as default language: { "v": 1, "key": { "_fts": "text", "_ftsx": 1 }, "name": "aliases_txt", "ns": "ner-dict.ents",

问题 Currently I am using a custom LocationTextExtractionStrategy to extract text from a PDF that returns a TextRenderInfo[]. I would like to be able to determine if a TextRenderInfo object (or PDFString, child of TextRenderInfo) appears in a specific layer. I am not sure if this is possible. To get the layers in a PDF, I am using: Dictionary<string,PdfLayer> layers; using (var pdfReader = new PdfReader(src)) { var newSrc = Path.Combine(["new file location"]); using (var stream = new FileStream

问题 I'm very confused by getting text using Selenium. There are span tags with some text inside them. When I search for them using driver.find_element_by_... , everything works fine. But the problem is that the text can't be got from it. The span tag is found because I can't use .get_attribute('outerHTML') command and I can see this: <span class="branding">ThrivingHealthy</span> But if I change .get_attribute('outerHTML') to .text it returns empty text which is not correct as you can see above.