Microsoft.scripting.debugging ironpython

It is well integrated with the rest of the. NET Framework and makes all. NET libraries easily available to Python programmers, while maintaining full compatibility with the Python language. This column will give a brief overview of Python and what sets dynamic languages apart from other languages. I will discuss iterative development, describe how IronPython integrates with. Dynamic programming languages allow for a program's structure to be changed while it runs: functions may be introduced or removed, new classes of objects may be created, and new modules may appear.

These languages are usually dynamically typed, allowing variable declarations to change type during execution. But just having dynamic types does not make a language dynamic. Python is a dynamic language with support for many programming paradigms such as object-oriented programming, structured programming, functional programming, and, with some extensions, aspect-oriented programming.

While offering these choices, Python's designers are in favor of a sparse syntax to increase readability. It uses English keywords frequently where other languages use punctuation, and has notably fewer syntactic constructions than many structured languages. For example, Python uses indentation rather than curly braces to delimit blocks. Here's an example of the Python function fib, which computes the Fibonacci numbers up to the specified value of n :. The most common question I hear about dynamic languages is "why should I use them?

One concrete benefit of dynamic languages is that they facilitate an iterative development cycle. The interactive capabilities of dynamic languages make them a better match for this type of cycle than compiled languages. Developers can focus on exploring and prototyping functionality, refactoring if necessary, and then repeating with new functionality.

So how are dynamic languages able to achieve this? Most provide an interactive console, a high-level syntax, and extensive standard libraries. The interactive console allows you to type in an expression and see it evaluated right away. Figure 1 shows the IronPython console in action. If you compare the amount of code that goes into simple C or Python classes, you'll see that the concise syntax of dynamic languages makes it easier to write code more quickly.

When creating a new class in a C application, you have to switch from a creative mode into more of a bookkeeping mode, creating a new file and typing a chunk of boilerplate code before attacking what the class actually does. Extra syntax that does not provide any additional expressiveness to the program can be referred to as line noise. Python is much less "noisy. The line noise in C is there for a reason, whether for static typing or explicit declaration, but it can make the code difficult to read.

Dynamic languages try to take the configuration responsibilities away from the programmer and put it on the compiler and interpreter. Figure 2 and Figure 3 show common programming tasks, swap and multi-value returns, with a line-noise comparison between C and Python. Allowing the developer to write less code that accomplishes more is one of the pillars of dynamic languages. Most dynamic languages ship with a large standard library. This "batteries included" philosophy means dynamic languages can be used for a broad range of tasks.

These libraries usually include modules for writing Internet-facing applications, creating graphical user interfaces, connecting to relational databases, and even unit testing frameworks. Having these tools be part of the language, rather than an extra download module or other third-party library, allows you to write code faster. One of the drawbacks is that these standard libraries vary among languages. A common set of libraries among all languages would allow programmers to move from language to language easily.

NET Framework is intended to be a single runtime engine for many programming languages. It does this via a shared byte code intermediate language, just-in-time JIT and ahead-of-time compilers, a highly tuned garbage collector, and reflection and dynamic loading support.

The academic world has envisioned this common runtime for decades, but. NET is the first runtime engine with many languages used in production today. Microsoft maintains.

The common language runtime CLR enables deep integration among languages; a single project could use many languages that work together seamlessly. Please help us improve Stack Overflow. Take our short survey. Stack Overflow for Teams — Collaborate and share knowledge with a private group.

Create a free Team What is Teams? Collectives on Stack Overflow. Learn more. Debugging IronPython scripts in hosted embedded environment Ask Question. Asked 12 years, 9 months ago. Active 7 years, 2 months ago. Viewed 10k times. Add Python. CreateScope ; script. Execute scope ; I can place breakpoints in the script files and they get hit, when the script is executed.

Improve this question. Crab Bucket 6, 6 6 gold badges 35 35 silver badges 72 72 bronze badges. Rohit Rohit 6, 9 9 gold badges 43 43 silver badges 55 55 bronze badges. I tried both this snippet, and the one in the accepted answer, but can't hit any breakpoints in my ironpython. Tried VS and without luck You seem to have found your answer, thanks for sharing it in my question. WriteLine pe. Build the eval.

The batch script also copies the IronPython binaries to the current directory they are not installed in Global Assembly Cache so that the runtime can find them as the eval program executes:. Execute the eval program and pass simple expressions on the command line to be evaluated by the PythonEngine:. The complete code for the eval.

The previous exercise demonstrated one-way interaction between IronPython and an application: the eval program used IronPython as a worker, and IronPython had no need to know anything about eval.

However, IronPython can be embedded much more fully as a scripting engine for an application. The hosting application can make its own objects available to the IronPython engine, allowing users to write scripts in IronPython that manipulate these objects. Thus, the flexibility of IronPython can be used to automate complicated or frequently-performed tasks, and to provide an open-ended, extensible application.

In this exercise, you will: Embed IronPython in an application as the scripting engine. This is the only file in the project containing application logic; everything else is used by Forms only. At the top of the file, add references to IronPython. Hosting and IronPython. DateTime lastDate; private PythonEngine engine;.

Add a method to initialize the PythonEngine, import the site module, and make the dateEntries variable available to it under the name dateentries. Import "Site" ; engine.

Also, if we know the type that an expression evaluates to, we can use the generic form Evaluate. Compile the application using the script makeha. Run it inside the HostingApp directory, where it is found. The executable will be App.

At the end of InitializePythonEngine, we'll add some Python code that generates an exception by attempting to reference an undefined variable, so:. Compile and run App. At once, you will see an exception dialog: This dialogue appears because the default UncaughtExceptionHandler for the current AppDomain is invoked. By adding a new UncaughtExceptionHandler, you can perform various clean-up and reporting tasks before this dialogue appears. However, ideally you would like to handle the situation a little better than that.

At the very least, your application can catch exceptions raised inside the PythonEngine and display the stack-trace to the user. Show exc. Compile and run to see the stack-trace displayed in the message-box; after dismissing it, you can interact with the application normally. Since we know the type of exception that will be raised — and that every Python exception maps to a.

NET exception — we can add more precise handling. Compile and run again; note the different message-box that appears:. In Task 2, we directed the PythonEnginer to execute a print statement. Although this direction failed, because we asked it to print an undefined variable, nonetheless it raises an important question: if we execute a print, or any other statement which has console output as a side-effect, where does this output go when we host the engine in a GUI application?

Now compile and run the program again. Look at the command window you launched the program from. You'll see 'Hello world! By default, the IronPython engine writes to the standard output; but it's straightforward to redirect to a file so that all interactions with the engine are logged. FileStream "scripting-log. Create ; engine. SetStdout fs ; engine. SetStderr fs ;. Now compile and run.

Look in the home directory of the executable for scripting-log. Now let's use the IronPython engine to view information on the application objects.

Add the following lines to the empty body of defaultEvtHandler :. Execute "print ''" ; engine. Execute "for i in dateentries. Now try compiling and running. Add a few entries to the calendar. Any standard error output will be directed there as well. Actually, it contains a complete record of the updates you have made to the calendar, since this Python code will be invoked whenever a date's entry is altered.

In this tutorial you used IronPython as an embedded expression evaluator and as a scripting engine for an existing. There's very basic support for editing.

NET debugging support. This tutorial shows you how to quickly set up Visual Studio to work on Python scripts in a directory. The objective of this tutorial is to set up Visual Studio for some basic tool support for debugging.

In this exercise you will set up a Visual Studio solution that you can use to edit. NET debugger. We will use the Tutorial directory as an example, but you could save your solution anywhere. We will use the Tutorial directory as an example, and we'll want to set it up as the working directory for loading. Right click on the ipy. In the properties dialog, you will fill in two fields, the Command Arguments and Working Directory.

For the Command Arguments, enter "first. Click Apply and OK to confirm your changes. Save it to the Tutorial directory. Browse to the "first. Place the caret on the line that reads "def add a, b :", and press F9 to set a breakpoint.

Press F5 to run the script, and you will hit the breakpoint. If you Press F10, you will step through the file, but all it does is load the definitions and set some variables before terminating. To see more stepping, we'll add a line to the file and set another breakpoint. Add a line to the end of the file to invoke the factorial function "factorial 5 ".

Now Press F5 to run the script. Press F10 repeatedly and notice the locals window where the parameter "n" decrements to 0 and then goes back up to 5 as the recursion unwinds. You can also hover the mouse over the "n" in the editor window to get a data tip of its value each time you stop at the breakpoint. To work on other scripts, just change the Command Arguments property for the ipy. If you check the property "Show Miscellaneous Files in the Solution Explorer", then you will get a list of the.

Each time you open this solution again at a later time, you will see all the. In this tutorial you set up Visual Studio to work on Python scripts in a directory and debug them.

IronPython Tutorial A tour of Python on. NET Information in this document is subject to change without notice. NET library use Task 2: Working with. Introduction IronPython is the. The prerequisites to successfully complete the whole tutorial are: Microsoft. Download from here. Mapack example assembly found on the internet Required for the "Basic IronPython" tutorial, exercise "Loading.

NET Libraries". Download Mapack from here direct link to the Mapack. Extract Mapack. Tutorial 1: Basic IronPython The emphasis of this tutorial is on the basic interaction with the IronPython interpreter and using the interactive environment to explore the. Estimated time to complete this tutorial: 30 minutes The objective of this tutorial is to launch the IronPython interpreter, explore the environment of the interactive console and use IronPython to interact with.

The exercises in this tutorial are: The IronPython interactive console Using the standard. NET libraries Exercise 1: The IronPython interactive console In this exercise, you will start the IronPython interactive interpreter and perform simple tasks to become acquainted with the IronPython environment.

IronPython prompts for additional lines of multi-line statements using Import "sys" module using the "import" statement: import sys The Python import statement is similar to the "using" statement of C or "Imports" statement of Visual Basic. To access the names or attributes in an imported module, prefix the names with the module's name: sys. In this exercise, you will use the standard.

NET libraries from IronPython. Task 1: Basic. Using the "import" statement, import the. Environment class and access some of its properties: dir System. Environment System. OSVersion System. Environment ['CommandLine', NET classes Import the contents of the "System. Collections" namespace into the global namespace: from System.

Print the "Key" and "Value" properties of each entry: for e in h: print e. Key, ":", e. Value The expected output in the console is the input line starting with "for" requires an extra return or enter key press because the interpreter prompts for more statements in the 'for' loop.

Generic namespace from System. Since we created list of string, adding string is possible: l. Add "Hello" l. Add "Hi" Try adding objects of types other than string: l. Add 3 l. Add 2. Add 3 Traceback most recent call last NET libraries IronPython can directly import only some of the.

NET assembly, use the functions available in the built-in "clr" module: clr. Task 1: Using System. AddReference to see it change if you want : import clr clr. Xml" from System. Xml" above: clr. Load "Releases. Walk d : print e. Name, e. Value The Walk function is a generator a Python function that contains a "yield" statement.

Double[][] Create instances of the Matrix class using the correct constructors and set some matrix elements manually. Now you can use the Python standard library from IronPython, for example to get the current working directory output uses assumed location of your IronPython installation : import os os.

The IronPython interactive console Using the standard. Tutorial 2: Advanced IronPython The large part of the beauty of IronPython lies within the dynamic-style development -- modifying the live application by adding functioning elements to it. Estimated time to complete this tutorial: 25 minutes The objective of this tutorial is to learn how to create delegates and handle events using IronPython, and to use that knowledge to build working Windows applications using Windows Forms and Windows Presentation Foundation.

Events and Delegates Windows Forms Windows Presentation Foundation Avalon Exercise 1: Events and Delegates In this exercise, you will create a simple event handler and learn how to explore event handler use. Import the contents of System.

IO into the global namespace: from System. At the end of this step, the output in the command window will be similar to the following: System. For now, remove the current event handler from the file watcher events: w.

ChangeType, a. At the end of this step, the output in the command window will be similar to the following: Created. Drawing namespaces into the global namespace: from System. Show You may need to alt-tab or look for the running application since it may not have popped to the top level on your desktop. Now set the form Text property: f. Add l Register the event handler: f. We can also access the controls we just added via mouse clicks and change them for i in f.

Controls: i. WidthAndHeight By setting the window property to "size to content", the window shrinks. Let's add the content now: w. Blue To bring the calculator alive, we need to provide event handlers for each button. To bring the calculator alive that is, register event handlers for the UI , enter: calculator.

In this tutorial you performed the following exercises: Events and Delegates Windows Forms Windows Presentation Foundation Avalon In this tutorial, you became familiar with using delegates and handling events in IronPython - an essential part of interactive development of Windows applications using WinForms or Avalon. Estimated time to complete this tutorial: 20 minutes The objective of this tutorial is to explore COM interoperability from IronPython. Type library imported to AgentServerObjects.

Load "Merlin. GetCharacter cid c. Show 0 c. Think "IronPython Tutorial" Merlin has a lot of animations he can play. Play one of the animations, "Read", by calling the Play method: for n in c. GetAnimationNames : print n c. Play "Read" Optional To call a series of animations, we could call c. We can create global functions and assign them names based on the animation name: for n in c. Play name At this point we can have Merlin play animations simply by calling a function from global namespace: Congratulate Stop Merlin's animations, hide him, and exit IronPython console c.

StopAll 0 c. Import spellcheck. Tutorial Summary This tutorial was focused on using COM interop assemblies generated via tlbimp tool in the.

In this tutorial you performed the following exercises. Estimated time to complete this tutorial: 10 minutes The objective of this tutorial is debugging simple Python script using Microsoft CLR Debugger. For Program, browse to the ipy. Browse to the Tutorial directory and select two files to open: debugging.

End the debugging session and exit the debugger. Tutorial Summary In this tutorial you performed the following exercises. Debugging IronPython program In this tutorial, you walked through the simple debug session of IronPython program. Tutorial 5: Extending IronPython Estimated time to complete this tutorial: 60 minutes The objective of this tutorial is to implement the class which will seamlessly fit into the IronPython environment.

Extending using C Extending using Visual Basic. NET Exercise 1: Extending using C In this exercise you will use C language to build a class that supports enumeration, custom operators and delegates and you will use that class from IronPython.

Open the "csextend. The file is initially empty notepad csextend. Then explore the Simple class using built-in dir function: import clr clr.

Task 2: Making the object enumerable In Notepad, add more functionality to the Simple class. Task 4: Adding delegate Add the definition of the delegate to the top of the C source file: using System; using System.

Collections; public delegate int Transformer int input ; Add "Transform" method to the Simple class that takes the delegate as a parameter and invokes the delegate: using System; using System.

Transform X This concludes the C extending example. Exercise 2: Extending using Visual Basic. Open the "vbextend. The file is initially empty notepad vbextend.

Task 2: Making the object enumerable Back in Notepad, add more functionality to the vbextend. Transform X This concludes the Visual Basic extending example.