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Showing 15 open source projects for "load"
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ILSpy
.NET Decompiler with support for PDB generation, ReadyToRun, Metadata
... License. Please see the About doc for details, as well as third-party notices for included open-source libraries. Visual Studio 16.3 and later include a version of the .NET (Core) SDK that is managed by the Visual Studio installer - once you update, it may get upgraded too. Please note that ILSpy is only compatible with the .NET 6.0 SDK and Visual Studio will refuse to load some projects in the solution. -
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Clash
Haskell to VHDL/Verilog/SystemVerilog compiler
... project is a Haskell Foundation affiliated project. Clash is built on Haskell which provides an excellent foundation for well-typed code. Together with Clash's standard library it is easy to build scalable and reusable hardware designs. Load your designs in an interpreter and easily test all your component without needing to setup a test bench. Although Clash offers many features, you sometimes need to directly access VHDL, Verilog, or SystemVerilog directly. -
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Teal
The compiler for Teal, a typed dialect of Lua
This is the repository of tl, the compiler for Teal, a typed dialect of Lua. The core compiler has no dependencies and is implemented as a single tl. lua file which you can load into your projects. Running tl. loader() will add Teal support to your package loader, meaning that require() will be able to run .tl files. Alternatively, you can find pre-compiled binaries for Linux x86_64 and Windows x86_64 at the releases page. The packages contain a stand-alone executable that can run Teal programs... -
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PackageCompiler
Compile your Julia Package
... and compiled functions into a file (called a sysimage) that you pass to Julia upon startup. Typically the goal is to reduce latency on your machine; for example, you could load the packages and compile the functions used in common plotting workflows using that saved image by default. In general, sysimages are not relocatable to other machines; they'll only work on the machine they were created on. -
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local_search
Load filenames to a local database for an easy search
Load filenames to a local database for an easy search. This program is made with my Swedish Compiler. That is focusing on a simple Gui and support many different databases (PostgreSQL, MariaDB, SqLite, Odbc). It’s working under Linux (Wine). -
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ATasm: 6502 cross-assembler
ATasm is a 6502 command-line cross-assembler.
ATasm is a 6502 command-line cross-assembler that is compatible with the original Mac/65 macro assembler released by OSS software. The aim of ATasm is to provide Atari home-brew coders with a comfortable and powerful toolset. -
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FIJI ForthIsh Java Interpreter
Java interpreter with Forth-like syntax, use it for testing java libs
FIJI the ForthIsh Java Interpreter is an interactive environment with a procedural syntax similar to the Forth programming language. FIJI can load, introspect, and execute Java classes and methods. FIJI's main use is for unit and component testing of Java. -
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Transcrypt
Python in the Browser
Lean and mean Python 3.6 to JavaScript compiler. Supports multiple inheritance, operator overloading and Python source level debugging, even of minified Javascript files. Transcrypt code is as fast and compact as its Javascript counterpart, and it is precompiled for page load speed. You can now develop your web applications completely in Python, with full access to any Javascript library. -
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MAD-X Python Builder
Build windows executable from Python file. Easily compiler your Python
Build windows executable from your Python file, with areas that requires your program info, description, Icon etc. It is possible to load existing data sets, given they are under corresponding Pickle formats, while saving also generates an Pickle file. Info fields can meet most demands, Windowed or consoled program type. One-file or Folder package, Encryption module, Hidden-Imports, UPX Compatible, Icon, program end-name, Debug mode and more. -
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JILRuntime/JewelScript
An object-oriented script language to embed in any application
A general purpose, object-oriented script language that compiles into code for a register based virtual machine. The language is quite similar to object-oriented high-level languages like Java and C#. The library is entirely self-sufficient and ANSI C compliant. It's main purpose is to be embedded in any application to allow automation of that application through scripting. An integrated C++ binding code generator allows you to create bindings for your application's classes in seconds.... -
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Python Embed C++
Embed C++ in Python source code, dynamically compile and access data
Moved to http://github.com/ftrias/pyembedc Python module to embed C/C++ code within Python source code and scripts. Automatically compile and dynamically link the code. Transparently allow native access to python data from C code and vice versa. Module provides all the "glue" to dynamically convert data types, arrays and structures. -
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PyInstaller
Converts (packages) Python programs into stand-alone executables
PyInstaller is a program that converts (packages) Python programs into stand-alone executables, under Windows, Linux, Mac OS X, AIX and Solaris. Its main advantages over similar tools are that PyInstaller works with any version of Python since 2.3, it builds smaller executables thanks to transparent compression, it is fully multi-platform, and uses the OS support to load the dynamic libraries, thus ensuring full compatibility. The main goal of PyInstaller is to be compatible with 3rd-party... -
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JDasm is a library written in java to easily manipulate Java class files. It gives you the ability to load a class file and modify it or write a new one from scratch; you can inspect it, edit or export any part of the class file and import it into anothe
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Decompile win32 program and DLL to C++ step by step. Allow some interactive. Main functions already work: *support if/else/for/do/while/break/switch case/continue *support API *support C++ head file load *support standard library function recognize
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The fast, flexible parsing engine. Parse anything in 4 steps: (1) define a grammar, (2) load the grammar into ClearParse, (3) call the engine to parse the source, and (4) traverse the parsing tree. You can even change your grammar at run time.
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