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The goal of this project is to allow the use of the Inversion of Control pattern at compile time so it can be applied in any context, and for virtually any langage: IoC configuration files are resolved at compile time and converted into the appropriate piece of code. IoC configuration file uses the very-wide spread Spring framework XML format. Generated code won't depend on any framework, making it easy to integrate it into any kind of application.

The ONNX Runtime Mobile package is a size optimized inference library for executing ONNX (Open Neural Network Exchange) models on Android. This package is built from the open source inference engine but with reduced disk footprint targeting mobile platforms. To minimize binary size this library supports a reduced set of operators and types aligned to typical mobile applications. The ONNX model must be converted to ORT format in order to use it with this package. See https://onnxruntime.ai/docs/reference/ort-format-models.html for more details.

Suji is a converter library from Japanese number notation to numerical value, and from numerical notation to Japanese Kansuji notation. Converter.values(src) to convert from Japanese number notation to numerical value: Japanese number notation can include Kansuji. The String "１つの価格が二兆30万五千十7円になります。" will be converted to two BigDecimal, 1 and 2000000005017. And also, 打率は三割二部五厘です。 will be a 0.325. The return value is a list of Suji Numeral objects. If the input string has no number notation, Suji returns a empty list. The Numeral object has three methods: value(), begin(), and end(): value(): a BigDecimal instance of a numerical value for the number notation. begin(): the begin index (int) of the found number notation at the input string. end(): the end index (int) of the found number notation. Converter.kansujis(src) to convert from numeric notation to Japanese Kansuji notation: The String 20兆30万五千十7円になります。 will be converted to the Kansuji string, 二十兆三十万五千十七. The boolean flag one is interpreted as whether to display the first character 一 or not. The output of Converter.kansujis('1000万', true) will be converted to 一千万, and the output of Converter.kansujis('1000万', false) will be converted to 千万. Note that kansujis does not support numerical notation after the decimal point. If the input string is 32.01, the output will 三十二, not 三十二割一厘. The return value is a list of Kansuji objects. If the input string has no number notation, Suji returns a empty list. The Kansuji object has three methods: value(), begin(), and end(): value(): a String instance of a Kansuji notation. begin(): the begin index (int) of the found number notation at the input string. end(): the end index (int) of the found number notation. Suji is a one-pass parser. That is, Suji parse a source text from the head to the end only once.

GroupDocs.Conversion is an online document conversion app that lets you convert documents in your browser. With GroupDocs.Conversion, it doesn’t matter if you have the application that the document was created with: simply convert it to a format you can work with. Converted documents retain the layout and look of the original. With GroupDocs.Conversion, you perform online document conversion. Convert many types of word processing documents (DOC, DOCX, TXT, RTF, ODT), presentations (PPT, PPTX), spreadsheets (XLS, XLSX), portable files (PDF), and image files (JPG, BMP, GIF, TIFF) to other file formats. For example, convert TIFF images to document friendly BMP format, or internet ready PNG format. Or convert open document files, ODT, to Microsoft Word document formats like DOC and DOCX. You can even convert Microsoft PowerPoint presentations from PTT or PPTX to portable PDF documents. From one file to hundreds, online document conversion with GroupDocs.Conversion is fast and easy.

An instance filter that collapses instances with a common grouping ID value into a single instance. Useful for converting transactional data into a format that Weka's association rule learners can handle. IMPORTANT: assumes that the incoming batch of instances has been sorted on the grouping attribute. The values of nominal attributes are converted to indicator attributes. These can be either binary (with f and t values) or unary with missing values used to indicate absence. The later is Weka's old market basket format, which is useful for Apriori. Numeric attributes can be aggregated within groups by computing the average, sum, minimum or maximum.