From f6f8b54e28d770110f7b1547260a7ccba463ef34 Mon Sep 17 00:00:00 2001 From: Build Bot Date: Wed, 28 Aug 2024 04:36:03 +0000 Subject: [PATCH] Build GitHub Pages --- README.md | 189 +++++-------------------- exercises/transpose-music/template.xml | 2 +- 2 files changed, 40 insertions(+), 151 deletions(-) diff --git a/README.md b/README.md index 13765ef..9d13a6c 100644 --- a/README.md +++ b/README.md @@ -1,190 +1,79 @@ # Programming Exercises in NetsBlox - -This repository contains a collection of programming exercises in NetsBlox. Each -exercise contains a starter template ("template.xml") and _most_ contain test -cases. These exercises have been designed to be compatible with the -[autograding](https://editor.netsblox.org/docs/services/Autograders/index.html) -capabilities in NetsBlox and should be pretty easily composed into your own -lessons! +This repository contains a collection of programming exercises in NetsBlox. Each exercise contains a starter template ("template.xml") and *most* contain test cases. These exercises have been designed to be compatible with the [autograding](https://editor.netsblox.org/docs/services/Autograders/index.html) capabilities in NetsBlox and should be pretty easily composed into your own lessons! ## Getting Started - ### Standalone (not using the autograding capabilities) - -Feel free to browse the [exercises](./exercises) and open the starter template -(ie, the "template.xml" file) of exercises that pique your interest! - -- [Acronym](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/acronym/template.xml). - Available as a - [Parsons problem](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/acronym/parsons.xml), - too! -- [Actor's Birthday](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/actor-birthday/template.xml). - Available as a - [Parsons problem](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/actor-birthday/parsons.xml), - too! +Feel free to browse the [exercises](./exercises) and open the starter template (ie, the "template.xml" file) of exercises that pique your interest! +- [Acronym](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/acronym/template.xml). Available as a [Parsons problem](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/acronym/parsons.xml), too! +- [Actor's Birthday](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/actor-birthday/template.xml). Available as a [Parsons problem](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/actor-birthday/parsons.xml), too! - [Anagram](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/anagram/template.xml). -- [Atbash Cipher](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/atbash/template.xml). - Available as a - [Parsons problem](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/atbash/parsons.xml), - too! -- [Compute the Average](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/average/template.xml). - Available as a - [Parsons problem](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/average/parsons.xml), - too! -- [Compute the Average of a List](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/average-list/template.xml). - Available as a - [Parsons problem](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/average-list/parsons.xml), - too! -- [Between](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/between/template.xml). - Available as a - [Parsons problem](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/between/parsons.xml), - too! -- [Bigram Autocomplete](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/bigram-autocomplete/template.xml). - Available as a - [Parsons problem](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/bigram-autocomplete/parsons.xml), - too! -- [Caesar Shift](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/caesar-shift/template.xml). - Available as a - [Parsons problem](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/caesar-shift/parsons.xml), - too! -- [Cracking the Caesar Shift with Brute Force](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/crack-caesar-brute-force/template.xml). - Available as a - [Parsons problem](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/crack-caesar-brute-force/parsons.xml), - too! -- [Cracking the Caesar Shift with a Partial Solution](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/crack-caesar-partial-soln/template.xml). - Available as a - [Parsons problem](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/crack-caesar-partial-soln/parsons.xml), - too! -- [Cyclic Iterator](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/cyclic-iterator/template.xml). - Available as a - [Parsons problem](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/cyclic-iterator/parsons.xml), - too! -- [Factorial](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/factorial/template.xml). - Available as a - [Parsons problem](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/factorial/parsons.xml), - too! +- [Atbash Cipher](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/atbash/template.xml). Available as a [Parsons problem](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/atbash/parsons.xml), too! +- [Compute the Average](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/average/template.xml). Available as a [Parsons problem](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/average/parsons.xml), too! +- [Compute the Average of a List](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/average-list/template.xml). Available as a [Parsons problem](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/average-list/parsons.xml), too! +- [Between](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/between/template.xml). Available as a [Parsons problem](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/between/parsons.xml), too! +- [Bigram Autocomplete](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/bigram-autocomplete/template.xml). Available as a [Parsons problem](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/bigram-autocomplete/parsons.xml), too! +- [Caesar Shift](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/caesar-shift/template.xml). Available as a [Parsons problem](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/caesar-shift/parsons.xml), too! +- [Cracking the Caesar Shift with Brute Force](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/crack-caesar-brute-force/template.xml). Available as a [Parsons problem](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/crack-caesar-brute-force/parsons.xml), too! +- [Cracking the Caesar Shift with a Partial Solution](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/crack-caesar-partial-soln/template.xml). Available as a [Parsons problem](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/crack-caesar-partial-soln/parsons.xml), too! +- [Cyclic Iterator](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/cyclic-iterator/template.xml). Available as a [Parsons problem](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/cyclic-iterator/parsons.xml), too! +- [Factorial](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/factorial/template.xml). Available as a [Parsons problem](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/factorial/parsons.xml), too! - [FizzBuzz](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/fizz-buzz/template.xml). -- [Greet](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/greet/template.xml). - Available as a - [Parsons problem](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/greet/parsons.xml), - too! -- [Intro to Infinite Sequences](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/intro-infinite-sequences/template.xml). - Available as a - [Parsons problem](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/intro-infinite-sequences/parsons.xml), - too! +- [Greet](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/greet/template.xml). Available as a [Parsons problem](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/greet/parsons.xml), too! +- [Intro to Infinite Sequences](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/intro-infinite-sequences/template.xml). Available as a [Parsons problem](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/intro-infinite-sequences/parsons.xml), too! - [Isogram](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/isogram/template.xml). - [Leap Year](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/leap-year/template.xml). -- [Counting Letter Frequency](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/letter-frequency/template.xml). - Available as a - [Parsons problem](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/letter-frequency/parsons.xml), - too! -- [Counting Letter Frequency as Dictionary](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/letter-frequency-dictionary/template.xml). - Available as a - [Parsons problem](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/letter-frequency-dictionary/parsons.xml), - too! -- [Luhn Formula](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/luhn-formula/template.xml). - Available as a - [Parsons problem](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/luhn-formula/parsons.xml), - too! -- [Mapping Over Infinite Sequences](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/map-sequence/template.xml). - Available as a - [Parsons problem](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/map-sequence/parsons.xml), - too! -- [Minesweeper](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/minesweeper/template.xml). - Available as a - [Parsons problem](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/minesweeper/parsons.xml), - too! -- [Moving Average](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/moving-average/template.xml). - Available as a - [Parsons problem](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/moving-average/parsons.xml), - too! -- [Pangram](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/pangram/template.xml). - Available as a - [Parsons problem](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/pangram/parsons.xml), - too! -- [Sieve of Eratosthenes](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/sieve/template.xml). - Available as a - [Parsons problem](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/sieve/parsons.xml), - too! +- [Counting Letter Frequency](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/letter-frequency/template.xml). Available as a [Parsons problem](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/letter-frequency/parsons.xml), too! +- [Counting Letter Frequency as Dictionary](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/letter-frequency-dictionary/template.xml). Available as a [Parsons problem](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/letter-frequency-dictionary/parsons.xml), too! +- [Luhn Formula](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/luhn-formula/template.xml). Available as a [Parsons problem](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/luhn-formula/parsons.xml), too! +- [Mapping Over Infinite Sequences](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/map-sequence/template.xml). Available as a [Parsons problem](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/map-sequence/parsons.xml), too! +- [Minesweeper](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/minesweeper/template.xml). Available as a [Parsons problem](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/minesweeper/parsons.xml), too! +- [Moving Average](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/moving-average/template.xml). Available as a [Parsons problem](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/moving-average/parsons.xml), too! +- [Pangram](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/pangram/template.xml). Available as a [Parsons problem](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/pangram/parsons.xml), too! +- [Sieve of Eratosthenes](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/sieve/template.xml). Available as a [Parsons problem](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/sieve/parsons.xml), too! - [Sliding Windows](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/sliding-windows/template.xml). -- [From Infinite Sequences to Finite Lists](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/take-collect-sequences/template.xml). - Available as a - [Parsons problem](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/take-collect-sequences/parsons.xml), - too! +- [From Infinite Sequences to Finite Lists](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/take-collect-sequences/template.xml). Available as a [Parsons problem](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/take-collect-sequences/parsons.xml), too! - [Transposing Music](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/transpose-music/template.xml). -- [Vigenere Cipher](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/vigenere/template.xml). - Available as a - [Parsons problem](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/vigenere/parsons.xml), - too! +- [Vigenere Cipher](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/vigenere/template.xml). Available as a [Parsons problem](https://editor.netsblox.org#open:https://raw.githubusercontent.com/NetsBlox/exercises/master/exercises/vigenere/parsons.xml), too! -### Build your own lesson! -If you want to compose these exercises into autograded (and automatically -loaded!) activities, simply import the "AutograderTools.xml" file into -[NetsBlox](https://editor.netsblox.org/) and then use the Autograders service to -create your own lesson/set of assignments! An example can be found below: +### Build your own lesson! +If you want to compose these exercises into autograded (and automatically loaded!) activities, simply import the "AutograderTools.xml" file into [NetsBlox](https://editor.netsblox.org/) and then use the Autograders service to create your own lesson/set of assignments! An example can be found below: ![Creating an autograded lesson with the exercises!](./example.png) ## Contributing - After cloning the repository, configure the githooks with: - ``` git config core.hooksPath .githooks ``` - -This will ensure that any automated preparation will happen automatically such -as updating the autograder tools library. +This will ensure that any automated preparation will happen automatically such as updating the autograder tools library. ### Creating the exercise - -Next, create the starter template with NetsBlox. Ideally, it includes the -following sections: - +Next, create the starter template with NetsBlox. Ideally, it includes the following sections: - The custom block by itself at the top of the scripting area - A few examples using the block with the expected output - An advanced example that will work once the custom block is implemented -See the "Moving Average" or "Counting Letter Frequency" exercises for a couple -examples. - -After implementing the custom block and completing the template, scramble -(disconnecting all the blocks) the implementation of the custom block so it is a -Parsons problem. Then save it as +See the "Moving Average" or "Counting Letter Frequency" exercises for a couple examples. +After implementing the custom block and completing the template, scramble (disconnecting all the blocks) the implementation of the custom block so it is a Parsons problem. Then save it as ``` exercises//parsons.xml ``` -The empty version of the exercise will be created automatically via one of the -githooks. +The empty version of the exercise will be created automatically via one of the githooks. ### Adding the tests - -Next, we need to add the automated tests for the exercise. The tests are defined -using the (JSON) specification found in the Autograders service. Since -multidimensional lists can be easily exported as JSON, we can define the tests -in the environment using the custom blocks from the "Autograder helpers" -community library. Here is an example for the "Actor's Birthday" exercise: +Next, we need to add the automated tests for the exercise. The tests are defined using the (JSON) specification found in the Autograders service. Since multidimensional lists can be easily exported as JSON, we can define the tests in the environment using the custom blocks from the "Autograder helpers" community library. Here is an example for the "Actor's Birthday" exercise: ![Setting the "tests" variable to a list of test cases](./tests.png) -After setting the variable to these tests, we can right click the watcher and -select "export" to download them as JSON. Simply copy this file to -`exercises//tests.json` and the tests will be added! +After setting the variable to these tests, we can right click the watcher and select "export" to download them as JSON. Simply copy this file to `exercises//tests.json` and the tests will be added! ### Final touches - -Finally, we can add some of the last remaining metadata. Most importantly, we -need to add a `name.txt` file with the assignment name. An overview of the files -for the exercise can be found below. - +Finally, we can add some of the last remaining metadata. Most importantly, we need to add a `name.txt` file with the assignment name. An overview of the files for the exercise can be found below. - name.txt: The display name for the activity -- parsons.xml: The activity as a Parsons problem. Used to generate the empty - version. -- template.xml: The starter template for the project (Generated automatically - from the parsons.xml file) +- parsons.xml: The activity as a Parsons problem. Used to generate the empty version. +- template.xml: The starter template for the project (Generated automatically from the parsons.xml file) - tests.json: The test cases to use when grading the activity -- credits.txt [optional]: Any attributions to sources of inspiration, etc, for - the activity +- credits.txt [optional]: Any attributions to sources of inspiration, etc, for the activity \ No newline at end of file diff --git a/exercises/transpose-music/template.xml b/exercises/transpose-music/template.xml index 16237cc..19b7fe3 100644 --- a/exercises/transpose-music/template.xml +++ b/exercises/transpose-music/template.xml @@ -1 +1 @@ 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messagemsgTransposing music refers to the process of moving the notes up or down by a constant interval (ie, changing the key). Given a list of notes, can you transpose them by the given number of steps? Edit the custom block on the left to get started!A couple examples using the block are shown below!The scripts below use the block to change the key then play a few different songs!instrumentdurationsplay85-200-6
Whole Half Quarter Eighth Sixteenth ThirtySecond SixtyFourth100
Whole Half Quarter Eighth Sixteenth ThirtySecond SixtyFourthDotted DottedDotted1
0
instrument notes durationsnotesdurations4
Synthesizer Grand Piano Electric Bass Bassoon Cello Acoustic Guitar Electric Guitar Nylon Guitar Harp Pipe Organ Violin
203-1Bassoon53,53,53,53,53,53,53,53,50,50,51,53,53,53,53,53,53,53,53,53,53,53,53,50,50,51,53,53,53,53,53,53,50,53,50,53,54,54,50,51,48,53,53,53,53,53,53,53,53,50,50,51,53,53,46,46Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,DottedEighth,Half,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,DottedEighth,Half,Quarter,Quarter,Half,Half,Half,Half,Quarter,Quarter,Quarter,Quarter,Half,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,DottedEighth,Whole,DottedCello46,46,46,46,41,41,41,41,43,43,43,43,43,41,41,46,46,46,46,41,41,41,41,43,43,43,43,45,46,46,41,46,41,46,41,42,43,36,41,46,46,46,46,41,41,41,41,43,43,43,43,45,46,46Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,DottedEighth,Half,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,DottedEighth,Half,Half,Half,Half,Half,Half,Half,Quarter,Quarter,Half,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,DottedEighth,Whole,DottedPipe Organ62,62,63,65,65,63,62,60,58,58,60,62,62,60,60,62,62,63,65,65,63,62,60,58,58,60,62,60,58,58,60,60,62,58,60,62,63,62,58,60,62,63,62,60,58,60,53,62,62,63,65,65,63,62,60,58,58,60,62,60,58,58Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,DottedEighth,Half,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,DottedEighth,Half,Quarter,Quarter,Quarter,Quarter,Quarter,Eighth,Eighth,Quarter,Quarter,Quarter,Eighth,Eighth,Quarter,Quarter,Quarter,Quarter,Half,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,DottedEighth,Whole,DottedPipe 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messagemsgTransposing music refers to the process of moving the notes up or down by a constant interval (ie, changing the key). Given a list of notes, can you transpose them by the given number of steps? Edit the custom block on the left to get started!A couple examples using the block are shown below!The scripts below use the block to change the key then play a few different songs!instrumentdurationsplay85-200-6
Whole Half Quarter Eighth Sixteenth ThirtySecond SixtyFourth100
Whole Half Quarter Eighth Sixteenth ThirtySecond SixtyFourthDotted DottedDotted1
0
instrument notes durationsnotesdurations4
Synthesizer Grand Piano Electric Bass Bassoon Cello Acoustic Guitar Electric Guitar Nylon Guitar Harp Pipe Organ Violin
203-1Bassoon53,53,53,53,53,53,53,53,50,50,51,53,53,53,53,53,53,53,53,53,53,53,53,50,50,51,53,53,53,53,53,53,50,53,50,53,54,54,50,51,48,53,53,53,53,53,53,53,53,50,50,51,53,53,46,46Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,DottedEighth,Half,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,DottedEighth,Half,Quarter,Quarter,Half,Half,Half,Half,Quarter,Quarter,Quarter,Quarter,Half,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,DottedEighth,Whole,DottedCello46,46,46,46,41,41,41,41,43,43,43,43,43,41,41,46,46,46,46,41,41,41,41,43,43,43,43,45,46,46,41,46,41,46,41,42,43,36,41,46,46,46,46,41,41,41,41,43,43,43,43,45,46,46Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,DottedEighth,Half,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,DottedEighth,Half,Half,Half,Half,Half,Half,Half,Quarter,Quarter,Half,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,DottedEighth,Whole,DottedPipe Organ62,62,63,65,65,63,62,60,58,58,60,62,62,60,60,62,62,63,65,65,63,62,60,58,58,60,62,60,58,58,60,60,62,58,60,62,63,62,58,60,62,63,62,60,58,60,53,62,62,63,65,65,63,62,60,58,58,60,62,60,58,58Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,DottedEighth,Half,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,DottedEighth,Half,Quarter,Quarter,Quarter,Quarter,Quarter,Eighth,Eighth,Quarter,Quarter,Quarter,Eighth,Eighth,Quarter,Quarter,Quarter,Quarter,Half,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,Quarter,DottedEighth,Whole,DottedPipe OrganF3,F3,G3,A3,A3,G3,F3,E3,F3,F3,F3,F3,F3,E3,E3,F3,F3,G3,A3,A3,G3,F3,E3,F3,F3,F3,F3,B3b,A3,A3,E3,E3,F3,E3,F3,E3,F3,G3,F3,G3,E3,F3,F3,G3,A3,A3,G3,F3,E3,F3,F3,F3,F3,B3b,A3,A3BassoonC3,C3,C3,C3,C3,C3,C3,C3,A2,A2,B2b,C3,C3,C3,C3,C3,C3,C3,C3,C3,C3,C3,C3,A2,A2,B2b,C3,C3,C3,C3,C3,C3,A2,C3,A2,C3,D3b,D3b,A2,B2b,G2,C3,C3,C3,C3,C3,C3,C3,C3,A2,A2,B2b,C3,C3,F2,F2CelloF2,F2,F2,F2,C2,C2,C2,C2,D2,D2,D2,D2,D2,C2,C2,F2,F2,F2,F2,C2,C2,C2,C2,D2,D2,D2,D2,E2,F2,F2,C2,F2,C2,F2,C2,D2b,D2,G1,C2,F2,F2,F2,F2,C2,C2,C2,C2,D2,D2,D2,D2,E2,F2,F2Pipe OrganA3,A3,B3b,C4,C4,B3b,A3,G3,F3,F3,G3,A3,A3,G3,G3,A3,A3,B3b,C4,C4,B3b,A3,G3,F3,F3,G3,A3,G3,F3,F3,G3,G3,A3,F3,G3,A3,B3b,A3,F3,G3,A3,B3b,A3,G3,F3,G3,C3,A3,A3,B3b,C4,C4,B3b,A3,G3,F3,F3,G3,A3,G3,F3,F3 \ No newline at end of file