data:image/png;base64,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

This block turns on (show) the watcher view on stage (if it was not already activated) of the variable with the given name (slot input). It can only access to the closest variable scope (if there different variables with the same name in different scopes) following the order 'script' -> 'sprite' -> 'global'. No errors if that variable does not exist.

ca:mostra la variable _ es:mostrar variable _ pt:mostra a variável _ de:zeige var _ §_getVarNamesDict

This block sets the given value (last input) to the variable named with the name givent (var input). It looks for that variable following the scope order 'script' -> 'sprite' -> 'global' (the first match it finds). If that variable does not exist (in any scope) an error happens, stopping their script. You can check it before using the "does var (name) exists?" block.

ca:assigna a _ el valor _ es:asignar a _ el valor _ pt:altera _ para _ de:setze var _ auf _ §_getVarNamesDict

This block creates new variables on the selected scope: global (for all sprites), sprite (for this sprite only) or script (only for that blocks stack) with the names given (in 'names' list). If there is already a variable with that name in that scope, it does nothing: no errors and no overwrites.

pt:cria as variáveis _ _ ca:crea les _ variables _ es:crear las _ variables _ de:erstellen _ var _ globalglobal sprite script

Sets the global instrument used for playing notes.

PianoPiano Brass={ French Horn Trumpet Tuba } Strings={ Banjo Bass, Acoustic Bass, Electric (Finger) Cello Guitar, Acoustic Guitar, Electric Harp Koto Sitar Violin } Woodwinds={ Bassoon Clarinet Flute Oboe Saxophone Shakuhachi } Drums={ Cabasa Snare Drum Bass Drum Closed Hi-Hat Open Hi-Hat Mid Tom High Tom Crash Cymbal } Other={ Accordion Marimba Organ Vibraphone }

Sets the global volume to the selected percentage.

Sets the default volume of the selected instrument to the specified percentage.

Plays the selected note for the specified musical duration. This block waits for the selected note to finish playing before moving to the next block. Notes may be entered as Scientific Pitch Notation (eg. C4) or as MIDI numbers. Note durations may be entered as duration names (eg. half, quarter, etc...) or as numerical values (eg. .5, .25, etc...)

C3 D3 E3 F3 G3 A3 B3 C4 D4 E4 F4 G4 A4 B4 Sharps={ C#3 D#3 E#3 F#3 G#3 A#3 B#3 C#4 D#4 E#4 F#4 G#4 A#4 B#4 } Flats={ Cb3 Db3 Eb3 Fb3 Gb3 Ab3 Bb3 Cb4 Db4 Eb4 Fb4 Gb4 Ab4 Bb4 }Whole Half Quarter Eighth Sixteenth Thirtysecond Dotted Notes={ Dotted Half Dotted Quarter Dotted Eighth Dotted Sixteenth } Triplet Notes={ Half Triplet Quarter Triplet Eighth Triplet Sixteenth Triplet }

Plays the selected note for the specified musical duration. Notes may be entered as Scientific Pitch Notation (eg. C4) or as MIDI numbers. Note durations may be entered as duration names (eg. half, quarter, etc...) or as numerical values (eg. .5, .25, etc...)

Plays a list of notes simultaneously for the specified musical duration. Chords must be entered as a list. Durations may be entered as duration names (eg. half, quarter, etc...) or as numerical values (eg. .5, .25, etc...)

Whole Half Quarter Eighth Sixteenth Thirtysecond Dotted Notes={ Dotted Half Dotted Quarter Dotted Eighth Dotted Sixteenth } Triplet Notes={ Half Triplet Quarter Triplet Eighth Triplet Sixteenth Triplet }

Waits for the selected musical duration. Durations may be entered as duration names (eg. half, quarter, etc...) or as numerical values (eg. .5, .25, etc...)

Each note duration is assigned a numerical value, with a whole note equalling "1". Dotted Notes are equal to the named note plus half of the named note's duration. Triplet notes are equal in duration to two of the named notes divided by three. Multiplying the numerical value of a note duration by 4*(60 / tempo) adjusts the note durations to match the current tempo.

QuarterWhole Half Quarter Eighth Sixteenth Thirtysecond Dotted Notes={ Dotted Half Dotted Quarter Dotted Eighth Dotted Sixteenth } Triplet Notes={ Half Triplet Quarter Triplet Eighth Triplet Sixteenth Triplet }

Reports all notes in a specified scale using the provided note and octave number as the starting note of the scale. To add additional scales to the "Types" script variable, create a list with the name of the scale as the first item and the steps between each note of the scale as the second item.

ChromaticChromatic Major MinorC40 1 2 3 4 5 6 7

Reports "#" or "b" of the input scientific pitch notation contains either.

Reports the note in a specific position within a major or minor musical scale. (e.g., The third note in a C Major scale starting in the fourth octave is E4.)

11 2 3 4 5 6 7MajorMajor MinorC40 1 2 3 4 5 6 7

Reports the distance in steps between two notes in the selected scale. (e.g., In the C Major scale, there are two intervals between C4 and E4.) If one or more of the selected notes is not in the selected scale, the block reports nothing. Notes must be entered as scientific pitch notation (eg. C4).

C4G4MajorMajor MinorC

Chromatic Major Minor

Reports the notes comprising a major or minor chord, using the specified note and octave as the root note of the chord.

MajorMajor MinorC4

This block finds the notes in a specified chord along the selected scale. Roman numerals differentiate chord positions from octave numbers (e.g., the Roman numeral “I” reports the notes of the first chord in the sequence). Upper case Roman numerals represent major chords within the scale. Lower case Roman numerals represent minor chords within the scale.

MajorMajor MinorC40 1 2 3 4 5 6 7II ii iii IV V vi vii°Major145367Major236145Major72

Converts roman numerals to arabic numerals using an association table.

Reports the notes of a diminished chord, given the starting note and octave of the chord.

This block reports a chord and appends an additional note.

May be paired with a musical duration to insert a rest into a sequence of chords.

This block reports a series of beats that tell the drum when to play. Beats are represented as an “X,” which can be typed into the block. Beats can be added or subtracted using the arrows on the right of the block.

This block reports a drum pattern, assigns a drum to it, and sets the duration value of each item in the pattern. Different drums can be selected from the drop-down menu. Beat durations can be selected from the drop-down menu or entered directly.

Snare DrumBass Drum Snare Drum Crash Cymbal Cabasa Toms={ High Tom Mid Tom } Hi-Hats={ Closed Hi-hat Open Hi-hat }EighthQuarter Eighth Sixteenth11 2 3 4 8 12 16 24 LoopLoop

This block is used to group sequences of notes and chords into measures. Each note or chord in the measure is paired with a note duration. The pairs are entered into the block using a list.

This code block groups measures together. This can be helpful for separating groups of measures that repeat in various places throughout a song, like verses and choruses. This block works with both notes and chords. To add measures to a section, put the measures into a list.

This code block specifies the type of track to be played and assigns it an instrument. Both the track type and instrument are set using drop-down menus. This block accepts notes or chords paired with corresponding durations. This block also allows for the creation of note or chord loops that will repeat for the whole duration of the song. Both types of loops may be selected from the track drop-down menu. For a loop to play, it must have an accompanying track that is not a loop.

MelodyMelody Chords Loops={ Loop-Melody Loop-Chords }PianoPiano Brass={ French Horn Trumpet Tuba } Strings={ Banjo Bass, Acoustic Bass, Electric (Finger) Cello Guitar, Acoustic Guitar, Electric Guitar, Overdrive Harp Koto Sitar Violin } Woodwinds={ Bassoon Clarinet Flute Oboe Saxophone Shakuhachi } Drums={ Cabasa Snare Drum Bass Drum Closed Hi-Hat Open Hi-Hat Mid Tom High Tom Crash Cymbal } Other={ Accordion Marimba Music Box Organ Vibraphone }

This block is used to play multiple music tracks. In most cases, several tracks with musical instruments are played in parallel.

4/44/4 3/4 5/4 7/4 6/8 9/8 12/8

This block determines if the combined durations of notes or chords within a measure are correct. The combined duration of notes within a measure must equal the number of beats specified by the time signature. When reading time signatures, the bottom number determines which note gets counted as a beat, and the top number determines how many beats are in a measure. For example, in 4/4 time, quarter notes are counted as beats and there are four quarter notes in a measure. In 6/8 time, the eighth note counted as the beat, and there are six eighth notes in a measure. The Beats in Measure reports the discrepancy between the number of actual beats in a measure versus the required number of beats. If name durations are not entered correctly, the block reports nothing.

4/44/4 3/4 2/4 6/8 5/4 7/4 9/8 12/8Actual

of beats

The Note Duration Value block reports the numerical value of the input duration name. Inputing a list of duration names outputs a list of values.

C4C3 D3 E3 F3 G3 A3 B3 C4 D4 E4 F4 G4 A4 B4 Sharps={ C#3 D#3 E#3 F#3 G#3 A#3 B#3 C#4 D#4 E#4 F#4 G#4 A#4 B#4 } Flats={ Cb3 Db3 Eb3 Fb3 Gb3 Ab3 Bb3 Cb4 Db4 Eb4 Fb4 Gb4 Ab4 Bb4 }QuarterWhole Half Quarter Eighth Sixteenth Thirtysecond Dotted Whole Dotted Half Dotted Quarter Dotted Eighth Dotted Sixteenth Dotted Thirtysecond Whole Triplet Half Triplet Quarter Triplet Eighth Triplet Sixteenth Triplet Thirty Second Triplet

This block assigns a number, frequency, and amplitude to a tone.

11 2 3 4 50.5.1 .2 .3 .4 .5 .6 .7 .8 .9

This block turns the specified tone on or off. This block will play a sine wave.

11 2 3 4 5

This block turns off all the tones currently playing.

Passes through the signal from a MIDI controller, allowing the user to play the controller using the assigned instrument. The name of the MIDI controller must be input exactly as it appears on the user's computer.

MPK mini 3MPK mini 3 MPK mini play MPK Mini Mk II M-audio Keystation 49esPianoPiano Brass={ French Horn Trumpet Tuba } Strings={ Banjo Bass, Acoustic Bass, Electric (Finger) Cello Guitar, Acoustic Guitar, Electric Guitar, Overdrive Harp Koto Sitar Violin } Woodwinds={ Bassoon Clarinet Flute Oboe Saxophone Shakuhachi } Drums={ Cabasa Snare Drum Bass Drum Closed Hi-Hat Open Hi-Hat Mid Tom High Tom Crash Cymbal } Other={ Accordion Marimba Music Box Organ Vibraphone }

Reports the corresponding note (in scientific pitch notation) for the specified MIDI number, matching the use of sharps and flats to the input scientific pitch notation.

60§_pianoKeyboardMenuSharpsSharps Flats

Reports the midi number of the specified note. The note should be entered using scientific pitch notation (e.g., "C4").

Extracts the note name from the provided scientific pitch notation. (e.g., An input of "C4" produces an output of "C".)

Association list for note names and their corresponding MIDI numbers in the first octave. Used to convert note names to MIDI.

The second input is an "association list," a list of two-item lists. Each of those smaller lists has a "key" as its first item and a "value" as its second. ASSOC reports the first key-value pair in the association list whose key matches the first input.

ca:associació _ _

Extracts the octave number from the provided scientific pitch notation. (e.g., An input of "C4" produces an output of "4".)

Accepts any number of scripts as inputs. Launches a separate thread for each of them, so they are done in parallel, then waits for them all to complete. This doesn't change how the Snap! scheduler works; the threads are not truly asynchronous. And there is no increase in speed. Rather, the point of this block is to allow starting synchronized but independent scripts.

pt:executa _ em paralelo e espera ca:executa en paral·lel _ i espera pl:wykonaj równolegle _ i czekaj each scripttest

Accepts any number of scripts as inputs. Launches a separate thread for each of them, so they are done in parallel, then continues with the current script while they all run. This doesn't change how the Snap! scheduler works; the threads are not truly asynchronous. And there is no increase in speed. Rather, the point of this block is to allow starting synchronized but independent scripts.

pt:executa _ em paralelo ca:executa en paral·lel _ pl:wykonaj równolegle _

200

anchor90

speed y-2Ground

falsetrueThis is all put in a custom block to save space. Basically, first, it calls the statement on all of the boxes, then checks if it's true. The code for the return statement is necessary, as it could be a normal boolean, or a list of booleans.

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t56QKWAQIECKwJKOA1SoNcwDJAgACBuYACnlt56QKWAQIECKwJKOA1SoNcwDJAgACBuYACnlt56QKWAQIECKwJKOA1SoNcwDJAgACBuYACnlt56QKWAQIECKwJKOA1SoNcwDJAgACBuYACnlt56QKWAQIECKwJKOA1SoNcwDJAgACBuYACnlt56QKWAQIECKwJKOA1SoNcwDJAgACBuYACnlt56QKWAQIECKwJKOA1SoNcwDJAgACBuYACnlt56QKWAQIECKwJKOA1SoNcwDJAgACBuYACnlt56QKWAQIECKwJKOA1SoNcwDJAgACBuYACnlt56QKWAQIECKwJKOA1SoNcwDJAgACBuYACnlt56QKWAQIECKwJKOA1SoNcwDJAgACBuYACnlt56QKWAQIECKwJKOA1SoNcwDJAgACBuYACnlt56QKWAQIECKwJKOA1SoNcwDJAgACBuYACnlt56QKWAQIECKwJKOA1SoNcwDJAgACBuYACnlt56QKWAQIECKwJKOA1SoNcwDJAgACBuYACnlt5+X9cwK+Ddd/nC2gECBAg8H4BBSwZawIu4DVKgwgQeKYC7x4nCviZfsnFx1LAhbqdBAh8rAIK+GP95j7A3/t1Ab+6z48e+1e7zvntOeeXj73HfAIECDymgAJ+TF2zH0Xg3aK/rvOr+5zP3rfous8v7nOu1z+7zvnp/cBvc13nJ9/96D4/fuiXfmjPo3xIQwkQeFKB65xX3y28zj8f/Dtwn7+//dnrPyl/e+/fnnPu+zp/efu359V9nz+9791n1/nXy6/Oiyf9oB/Isjd/mP0jQIAAAQIEnlZAAT+tt20ECBAgQOCNgAIWBAIECBAgEAgo4ADdSgIECBAgoIBlgAABAgQIBAIKOEC3kgABAgQIKGAZIECAAAECgYACDtCtJECAAAECClgGCBAgQIBAIKCAA3QrCRAgQICAApYBAgQIECAQCCjgAN1KAgQIECDwb8Eko4cMBdYtAAAAAElFTkSuQmCC000013-10,0,0falsefalsefalsefalse