![]() ![]() For instance, this property is exposed as the -NSides command. We can expose properties as command-line parameters using Our cmdlet class can have whatever private member variables, Here, for instance, we define a new class that is exposed to ![]() a name with the CmdletAttribute attribute. Each cmdlet is a class that inherits from Cmdlet, and is given This namespace provides the API that we need to implement Go on and add the following to Class1.cs: using System This will make the namespace available, which has everything we need to write our own cmdlets. To make this a PowerShell-enabled library, we need to add the right NuGet package: PS> dotnet add package PowerShellStandard.Library # ls or dir, both of which are also aliases for Get-ChildItem.ĭirectory: C:\Users\cgranade\Source\Repos\QsharpBlog\2018\December\src\posh-die This will make a new directory with a C# project file and a single C# source file, Class1.cs, that we can edit: # gci is an alias for Get-ChildItem, which can be used in the same way as # In this case, we can use it to quickly jump to the "posh-die" directory. # The automatic variable $$ always resolves to the last argument of the previous command. NET Core SDK: PS> dotnet new classlib -lang C# -o posh-die To get started, we need to make a new C# library using the. Let’s see how this works by making a new C# class that rolls dice for us. We can add new functionality to PowerShell by writing small commands, called cmdlets, as. This will output Desktop for Windows PowerShell, and will output Core for PowerShell Core. If you are currently using PowerShell on Windows, but aren’t sure if you’re using Windows PowerShell or PowerShell Core, you can check your current edition by looking at the $PSVersionTable automatic variable: PS> $PSVersionTable.PSEdition If you haven’t installed PowerShell Core already, the PowerShell team provides installers for Windows, many Linux distributions, and macOS. PowerShell Core is now openly developed and maintained on GitHub at the PowerShell/PowerShell repository. NET Core and made available cross-platform as PowerShell Core. Two and a half years ago, PowerShell was ported to. Historically, PowerShell was released as Windows PowerShell, and was based on the. PS> $measurement | ConvertTo-Xml -As String This in turn makes it easy to convert between different representations of our data, such as exporting to JSON or XML. This means that we can not only call methods on PowerShell variables, but can access strongly-typed properties of variables. PS> Get-ChildItem -Recurse *.qs | ForEach-Object | Measure-Object -Line Suppose, for instance, we want to find the number of lines of source code in all Q# files in a directory: PS> cd Quantum/ Like many shells, PowerShell allows you to pipe the output from one command to the next, making it easy to quickly build up complicated data-processing workflows in a compact manner. ![]() Like bash, tcsh, xonsh, fish, and many other shells, PowerShell provides a command-line interface for running programs on and managing your computer. What is PowerShell Core?įirst off, then, what is PowerShell anyway? In this post, I’ll detail how the PowerShell Core integration in the quantum chemistry sample works as an example of how to integrate Q# with other parts of the. NET Core platform to integrate with a wide range of different workflows.įor instance, the quantum chemistry library that is provided with the Quantum Development Kit includes a sample that uses PowerShell Core together with Q# to process cost estimates for chemistry simulations.įrom there, cost estimation results can be exported to any of the formats supported by PowerShell Core, such as XML or JSON, or can be processed further using open-source PowerShell modules, such as ImportExcel. NET programs, this means that we can use the power of the. Since the classical host programs for Q# are. One implication of this way of thinking about quantum programming, though, is that we need for our quantum programs to be able to integrate into classical data processing workflows. This is a large part of why we designed the Q# language to treat quantum computers as accelerators, similar to how one might use a graphics card or a field-programmable gate array (FPGA) to speed up the execution of classical algorithms. When we program a quantum computer, at the end of the day, we are interested in asking classical questions about classical data. Full source code for this post is available on GitHub. This post is a part of the Q# Advent Calendar, and is made available under the CC-BY 4.0 license. ![]()
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