Giter Club home page Giter Club logo

vgangan / daml Goto Github PK

View Code? Open in Web Editor NEW

This project forked from digital-asset/daml

0.0 0.0 0.0 56.93 MB

The DAML smart contract language

Home Page: https://daml.com/

License: Apache License 2.0

Python 1.57% Shell 1.25% Groovy 0.02% PowerShell 0.24% Haskell 24.90% Scala 58.00% Dockerfile 0.01% Perl 0.01% Makefile 0.04% TypeScript 5.50% Java 4.80% JavaScript 0.14% HTML 0.12% Vim Script 0.16% Batchfile 0.01% HCL 0.27% CSS 0.12% Nix 2.12% Go 0.08% TSQL 0.66%

daml's Introduction

DAML logo

Download License Build

Copyright 2020 Digital Asset (Switzerland) GmbH and/or its affiliates. All Rights Reserved. SPDX-License-Identifier: Apache-2.0

Welcome to the DAML repository!

This repository hosts all code for the DAML smart contract language and SDK, originally created by Digital Asset. DAML is an open-source smart contract language for building future-proof distributed applications on a safe, privacy-aware runtime. The DAML SDK is a set of tools to help you develop applications based on DAML.

Using DAML

To download DAML, follow the installation instructions. Once installed, to try it out, follow the quickstart guide.

If you have questions about how to use DAML or how to build DAML-based solutions, please ask them on StackOverflow using the daml tag.

Contributing to DAML

We warmly welcome contributions. If you are looking for ideas on how to contribute, please browse our issues. To build and test DAML:

1. Clone this repository

git clone [email protected]:digital-asset/daml.git
cd daml

2. Set up the development dependencies

Our builds require various development dependencies (e.g. Java, Bazel, Python), provided by a tool called dev-env.

Linux and Mac

On Linux and Mac dev-env can be installed with:

  1. Install Nix by running: bash <(curl https://nixos.org/nix/install)
  2. Enter dev-env by running: eval "$(dev-env/bin/dade assist)"

If you don't want to enter dev-env manually each time using eval "$(dev-env/bin/dade assist)", you can also install direnv. This repo already provides a .envrc file, with an option to add more in a .envrc.private file.

Windows

On Windows you need to enable long file paths by running the following command in an admin powershell:

Set-ItemProperty -Path 'HKLM:\SYSTEM\CurrentControlSet\Control\FileSystem' -Name LongPathsEnabled -Type DWord -Value 1

Then start dev-env from PowerShell with:

.\dev-env\windows\bin\dadew.ps1 install
.\dev-env\windows\bin\dadew.ps1 sync
.\dev-env\windows\bin\dadew.ps1 enable

In all new PowerShell processes started, you need to repeat the enable step.

3. First build and test

We have a single script to build most targets and run the tests. On Linux and Mac run ./build.sh. On Windows run .\build.ps1. Note that these scripts may take over an hour the first time.

To just build do bazel build //..., and to just test do bazel test //.... To read more about Bazel and how to use it, see the Bazel site.

On Mac if building is causing trouble complaining about missing nix packages, you can try first running nix-build -A tools -A cached nix repeatedly until it completes without error.

4. Installing a local copy

On Linux and Mac run daml-sdk-head which installs a version of the SDK with version number 0.0.0. Set the version: field in any DAML project to 0.0.0 and it will use the locally installed one.

On Windows:

bazel build //release:sdk-release-tarball
tar -vxf .\bazel-bin\release\sdk-release-tarball.tar.gz
cd sdk-*
daml\daml.exe install . --activate

That should tell you what to put in the path, something along the lines of C:\Users\admin\AppData\Roaming\daml\bin. Note that the Windows build is not yet fully functional.

Caching: build speed and disk space considerations

Bazel has a lot of nice properties, but they come at the cost of frequently rebuilding "the world". To make that bearable, we make extensive use of caching. Most artifacts should be cached in our CDN, which is configured in .bazelrc in this project.

However, even then, you may end up spending a lot of time (and bandwidth!) downloading artifacts from the CDN. To alleviate that, by default, our build will create a subfolder .bazel-cache in this project and keep an on-disk cache. This can take about 10GB at the time of writing.

To disable the disk cache, remove the following lines:

build:linux --disk_cache=.bazel-cache
build:darwin --disk_cache=.bazel-cache

from the .bazelrc file.

If you work with multiple copies of this repository, you can point all of them to the same disk cache by overwriting these configs in either a .bazelrc.local file in each copy, or a ~/.bazelrc file in your home directory.

Haskell profiling builds

To build Haskell executables with profiling enabled, pass -c dbg to Bazel, e.g. bazel build -c dbg damlc. If you want to build the whole SDK with profiling enabled use daml-sdk-head --profiling.

daml's People

Contributors

cocreature avatar hurryabit avatar garyverhaegen-da avatar stefanobaghino-da avatar remyhaemmerle-da avatar samirtalwar avatar gerolf-da avatar aherrmann-da avatar leo-da avatar neil-da avatar nickchapman-da avatar rautenrieth-da avatar shayne-fletcher avatar rohanjr avatar s11001001 avatar gabor-aranyossy avatar dasormeter avatar majcherm-da avatar akalburgi avatar oliverse-da avatar bethaitman avatar mziolekda avatar bame-da avatar gleber-da avatar moritzkiefer-da avatar nicholassmith-da avatar dependabot[bot] avatar bitonic avatar fmota-da avatar bolek-wisniewski avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.