Hime Parser Generator is a useful and reliable parser generator designed for .NET framework. Currently implemented parsing methods are LR(0), LR(1) and LALR(1), RNGLR(1) and RNGLALR(1). Implementation of simple GLR(1), GLALR(1) methods are planned. Can generate parsers for binary data.
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Hime Parser Generator is an advanced parsing solution based on a compiler architecture, which allows you to generate parsers and other components of compilers that fit your needs. The software allows you to use simple LR(0), LR(1) and GLR(1) parser generators; and for users who need more flexibility, easily extends the core base using high level pre-defined directives which can generate parsers that fit into existing compilers. Low Level Parser Generation: Low level parsing methods are based on the fact that you can simply compose parsers. Each parser method allows you to parse data in a certain range of characters from a specific line. Although very compact, LR methods have the advantage of being much faster than other methods since they reduce states. The worst drawback is that they don’t allow you to define an action for terminal symbols. That is why other methods are used. High Level Parser Generation: High level generation can also be viewed as a kind of composition of parsers. The idea is to define a high level pre-defined set of directives, then whenever you use these directives the software will generate different parsing methods that will fit into the base classes you define. With high level generation you can manage parsing methods in the program using directives, saving a lot of time. There are multiple implementations of the pre-defined directives, however, the software offers an easy way to extend the set of directives on-the-fly. Basic Parser Types: Hime Parser Generator is basically a compiler. In a compiler there are many phases that can be generated into the parser. For example in C grammar is defined by the C-language and the compiler has parsing methods for most of the phases of C grammar. Although Hime parsers are not that complex, they are also not that easy to write. Generation of parsers is supported for all of the standard parsers. Initially it supports C, C++, C#, Java, HTML, XML, PHP, CSS, and JavaScript. For programming languages that support Unicode, you can also generate parsers that support Unicode data. Data is represented as a set of characters. In Unicode there are two ways to represent a character. The first one is by a number that gives the code point (in the Universal code units or UCS) and the second one is by a name (of a mnemonic character). For example, the name of the letter E in the Universal code units is U+0065 (EUC
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hime is a parser generator for construction of LR(0), LR(1) and LALR(1) parsers. It was written to be a great improvement of other alternatives. It was originally written by Tomáš Rokický and has been developed together with other Parsing people in litex-gamedev Somehow, usage is easier. It is developed in.NET framework. 1. XML Pipeline 2..NET Binary Deserialization 3. Test/Debug Communication 4. Standardization of Name Generation 5. Language Reference 6. Advanced Features 7. Examples Operational API: 1. Usage of pipeline Suppose that we have defined [XmlRoot(“item”)] public class Item { [XmlAttribute] public string Name { get; set; } } public class Source : IXmlSource { public Source() { } public string Xml => “{}”; public string GetXml() { return “”; } } [XmlRoot(“parsingcontext”)] public class ParseContext { public ParseContext() { } public ItemParser ItemParser { get; set; } } public class ItemParser : IXmlSource { public bool IsDisposable { get; set; } public ParseContext ParseContext { get; set; } public string Line { get; set; } public bool EndOfStream { get; set; } public bool Token { get; set; } public bool Backtracking { get; set; } public bool Word(string s, bool runOrder = false) { return Word(s.ToLower().Trim(), runOrder); } public bool Word(string s, bool runOrder = false, bool lowerCase = true) { if (!runOrder && lowerCase) s = s.ToLower(); if (s == “”) throw new InvalidOperationException(“Empty words are not allowed”); char ch = (s[0] >=”)? (s[0] – 32) : (s[0]); char ch2 = (s[1] >=”)? (s[1] – 32) : (s[1]); if (ch >= ‘ a69d392a70
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Hime Parser Generator is a free parsing tool for parser creators. The tool is a useful tool for creating a fast, easy-to-understand, efficient, small-footprint and easy-to-maintenance C# or C++ parsers. You can use Hime Parser Generator to rewrite your existing parsers to make the code more efficient. Hime Parser Generator lets you focus on the grammar specification, and converts the grammar into a parser that compiles down to efficient code, optimized for real-time use. The user interface is English, and supports eight-bit (file-format compatibility) system. Useful tips: The tool uses regular expressions, which can be used interchangeably with user code. The tool supports browsing and editing of generated code and grammar in Visual Studio. The tool supports browsing and editing of grammar in XML format. Main features of Hime Parser Generator: The tool supports easy-to-use English language user interface. The tool can parse binary data. The tool supports a variety of parser styles; state machine, regular expressions, and function/method calls. The tool supports a restricted grammar specification. The tool supports large-scale grammars. The tool supports parsing by SLL(1). The tool supports parsing by GLR(1). The tool supports parsing by GLR(1) and GLALR(1). The tool supports parsing by first-order LALR(1). The tool supports many parser algorithms. The tool supports matching small patterns and complex patterns. The tool supports matching by the text content of the pattern. The tool supports analysis by the text content of the patterns. The tool supports an efficient grammar. The tool supports a compact grammar (about 40 lines) per grammar version. The tool supports determination and generation of a parser. Usage example of Hime Parser Generator: First, we define our grammar as an XML-based system.
What’s New in the Hime Parser Generator?
————————————– Hime Parser Generator is a free and open source parser generator for Microsoft.NET framework. It generates an LR(0) or a LR(1) parser, or an LR(0) or LR(1) parser with support of combined parsing method (LR(1), LR(0), LALR(1) or LALR(0)) from a single grammar. The output is written directly to a temporary file with an “.lp” extension. The generated parser can be run by the.NET Framework’s parser. Features ————- – Can generate an LR(0), LR(1), LALR(0), LALR(1), RNGLR(1) and RNGLALR(1) parser. – Directly generates output written to a temporary file without reading from a file system (text file) – Supports full-featured grammar (includes trees) – Can generate parsers for binary data – Can generate grammar from a grammar file, a grammar file and an input file or can generate grammar from an input file, a grammar file and grammar rules and settings – Can be integrated with error reporting – Can generate.NET Framework parser by use of existing parser – Parsing method can be set per rule or per tree – Can generate parser for COM+ and DDE with trees – Can generate parser for CIL and Java with trees At the time of writing this documentation, the latest version is 4.1.2. HimeParserGenerator 4.1.2 + Win32DemoProject Version 4.1.2 ——————————— – Fixed incorrect checksum calculation for byte arrays containing multiple bytes – Update HimeParserGenerator.Tests.Interface.ActualSource to show expected result of the parsing – Parsing rules without any valid configuration are not considered during parsing – Error reporting now provide comments in a way compatible with monotouch – Parsing rules with attributes are not considered during parsing – Generated parser is now compact – Fixed multiline comment in grammar for binary tree – Bugs and documentation fixes – Test project now run with dotnet on mac with Xamarin.Mac Version 4.1.1 ——————————— – Bug fix for ILP and LALR(1) parsing – Bug fix for compatibility with monoTouch – Bug fix for LALR(1
System Requirements For Hime Parser Generator:
Minimum: OS: Windows 7 / Vista / Windows XP SP3 Processor: Dual-core 2.6 GHz or better RAM: 2 GB Graphics: Microsoft DirectX 9.0 or later Hard Drive: 7 GB available space Additional Notes: Xbox 360 headset Additional Notes: TV Tuner card, Nefarious SDK, game patches are required for stable operation. Xbox 360 Game pad is required for gamepad compatibility and Camera is required for tv mode. Recommended: OS: Windows 7 / Vista / Windows
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