Showing 14 open source projects for "smtp-test"

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  • 1
    Yggdrasil

    Yggdrasil

    Collection of builder repositories for BinaryBuilder.jl

    This repository contains recipes for building binaries for Julia packages using BinaryBuilder.jl.
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  • 2
    NonlinearSolve.jl

    NonlinearSolve.jl

    High-performance and differentiation-enabled nonlinear solvers

    ... linear solvers, along with the ability to use sparse automatic differentiation for Jacobian construction and Jacobian-vector products. NonlinearSolve.jl interfaces with other packages of the Julia ecosystem to make it easy to test alternative solver packages and pass small types to control algorithm swapping. It also interfaces with the ModelingToolkit.jl world of symbolic modeling to allow for automatically generating high-performance code.
    Downloads: 0 This Week
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  • 3
    ReTest.jl

    ReTest.jl

    Testing framework for Julia

    ... for running only part of the test suite of a package. For example, if you made a change related to addition, and included "addition" in the description of the corresponding testsets, you can easily run only these tests.
    Downloads: 0 This Week
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  • 4
    Rocket.jl

    Rocket.jl

    Functional reactive programming extensions library for Julia

    Rocket.jl is a Julia package for reactive programming using Observables, to make it easier to work with asynchronous data. Rocket.jl has been designed with a focus on performance and modularity.
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  • 5
    Coverage.jl

    Coverage.jl

    Take Julia code coverage and memory allocation results, do useful thin

    Julia can track how many times, if any, each line of your code is run. This is useful for measuring how much of your code base your tests actually test, and can reveal the parts of your code that are not tested and might be hiding a bug. You can use Coverage.jl to summarize the results of this tracking or to send them to a service like Coveralls.io or Codecov.io. Julia can track how much memory is allocated by each line of your code. This can reveal problems like type instability, or operations...
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  • 6
    CImGui

    CImGui

    Julia wrapper for cimgui

    This package provides a Julia language wrapper for cimgui: a thin c-api wrapper programmatically generated for the excellent C++ immediate mode gui Dear ImGui. Dear ImGui is mainly for creating content creation tools and visualization / debug tools. You could browse Gallery to get an idea of its use cases.
    Downloads: 0 This Week
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  • 7
    IntervalArithmetic.jl

    IntervalArithmetic.jl

    Library for validated numerics using interval arithmetic

    IntervalArithmetic.jl is a Julia package for validated numerics in Julia. All calculations are carried out using interval arithmetic where quantities are treated as intervals. The final result is a rigorous enclosure of the true value. We are working towards having the IntervalArithmetic library be conformant with the IEEE 1788-2015 Standard for Interval Arithmetic. To do so, we have incorporated tests from the ITF1788 test suite.
    Downloads: 0 This Week
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  • 8
    Literate

    Literate

    Simple package for literate programming in Julia

    Literate is a package for Literate Programming. The main purpose is to facilitate writing Julia examples/tutorials that can be included in your package documentation. Literate can generate markdown pages (for e.g. Documenter.jl), and Jupyter notebooks, from the same source file. There is also an option to "clean" the source from all metadata, and produce a pure Julia script. Using a single source file for multiple purposes reduces maintenance, and makes sure your different output formats are...
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  • 9
    LinearSolve.jl

    LinearSolve.jl

    High-Performance Unified Interface for Linear Solvers in Julia

    LinearSolve.jl is a unified interface for the linear solving packages of Julia. It interfaces with other packages of the Julia ecosystem to make it easy to test alternative solver packages and pass small types to control algorithm swapping. It also interfaces with the ModelingToolkit.jl world of symbolic modeling to allow for automatically generating high-performance code. Performance is key: the current methods are made to be highly performant on scalar and statically sized small problems...
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  • 10
    JLD.jl

    JLD.jl

    Saving and loading julia variables while preserving native types

    ... appears to be Julia's serializer, which can be accessed via the serialize and deserialize commands. However, because the serializer is also used for inter-process communication, long-term backward compatibility is currently uncertain. (The JLDArchives repository exists to test the compatibility of older JLD file formats.) If you choose to save data using the serializer, please use the file extension .jls to distinguish the files from .jld files.
    Downloads: 0 This Week
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  • 11
    Knet

    Knet

    Koç University deep learning framework

    Knet.jl is a deep learning package implemented in Julia, so you should be able to run it on any machine that can run Julia. It has been extensively tested on Linux machines with NVIDIA GPUs and CUDA libraries, and it has been reported to work on OSX and Windows. If you would like to try it on your own computer, please follow the instructions on Installation. If you would like to try working with a GPU and do not have access to one, take a look at Using Amazon AWS or Using Microsoft Azure. If...
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  • 12
    SciML Style Guide for Julia

    SciML Style Guide for Julia

    A style guide for stylish Julia developers

    ... recommended functionality should be tested, and any known generality issues should be documented in an issue (and with a @test_broken test when possible). However, a function that is known to not be GPU-compatible is not grounds to block merging, rather it is encouraged for a follow-up PR to improve the general type support.
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  • 13
    julia-mode

    julia-mode

    Julia support in Emacs

    Emacs major mode for the Julia programming language.
    Downloads: 0 This Week
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  • 14
    SLM-Topo

    SLM-Topo

    Topology optimisation designed for laser based additive manufacturing

    In the selective laser melting process (SLM), components are built up layer by layer by incremental melting of metal powder with a laser beam. This process leads to locally inhomogeneous material properties of the manufactured components. By integrating these specific material properties of the SLM-process into a topology optimization, product developers can be supported in the design process by simulation. For this purpose, a topology optimization method is being developed which takes into...
    Downloads: 0 This Week
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