Welcome to New SnipOS 7 Version 1.2. SnipOS is an operating system simulator by Hyposyn Software. Remember, this is an operating system simulator, and is not to be compared to something like macOS Tahoe, or Windows 11. New SnipOS 7 is the new, most powerful application that hyposyn has made on Snap! Featured Feature: Fusion (Beta) Fusion lets you run two (supported) apps at once! In New OS 7, (and OS6) we have decided to use applications curated by the hyposyn & Snap! community! Here is some info for some apps for New SnipOS 7! LXP Studio Hyposyn's most powerful DAW yet for advance users. with auto-play recording, over 15 piano instruments, and 10x faster then Hydro Tracks without turbo mode Notebook Notebook (or Analog Notebook) is the new way to take notes on SnipOS. Including page support and supports making your own novel up to 10 pages!* Hyposyn Maps. One of the most powerful applications on SnipOS 6, is a google maps alternative. Press "Space" to set the location to a custom longitude and latitude. 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Welcome to New SnipOS 7 Version 1.2. SnipOS is an operating system simulator by Hyposyn Software. Remember, this is an operating system simulator, and is not to be compared to something like macOS Tahoe, or Windows 11. New SnipOS 7 is the new, most powerful application that hyposyn has made on Snap! Featured Feature: Fusion (Beta) Fusion lets you run two (supported) apps at once! In New OS 7, (and OS6) we have decided to use applications curated by the hyposyn & Snap! community! Here is some info for some apps for New SnipOS 7! LXP Studio Hyposyn's most powerful DAW yet for advance users. with auto-play recording, over 15 piano instruments, and 10x faster then Hydro Tracks without turbo mode Notebook Notebook (or Analog Notebook) is the new way to take notes on SnipOS. Including page support and supports making your own novel up to 10 pages!* Hyposyn Maps. One of the most powerful applications on SnipOS 6, is a google maps alternative. Press "Space" to set the location to a custom longitude and latitude. reportJSFunction reportPipe receiveUserEdit getPosition reportMousePosition doDefineBlock doSetBlockAttribute doDeleteBlock reportBlockAttribute reportEnvironment reportNewCostumeSkewed reportAtan2 reportVariadicMin reportVariadicMax receiveSlotEvent doSetSlot receiveConditionEvent reportColor reportColorAttribute reportNewColor reportPoll

open my definition to look at examples how to use the menu blocks

what's your name?

Alert!

choose!

title

§_objectsMenuoption

leftleft righthey!

de:Kostüm aus Text _ Größe _ pt:um traje com o texto _ de tamanho _ ca:vestit amb el text _ i mida _ A72

ca:desa clau: _ amb valor: _ al navegador

ca:dades desades al navegador

ca:esborra clau: _ del navegador

ca:esborra dades del navegador

Reports the value previously stored under the input key in the browser's local storage. Reports False if the key is not found.

ca:obté valor de clau: _ al navegador

pt:os dados JSON _ em formato de lista

pt:o valor com chave _ em _

pt:a resposta a _ de _ enviando _ e cabeçalhos _ GETGET POST PUT DELETEhttps://snap.berkeley.edu

pt:um par (chave: _ , valor: _ )

Reports a three-item list containing the latitude and longitude of the user, and the precision of the measurements. Works only if the user allows snap.berkeley.edu access to location data. Some browsers also require an HTTPS connection to Snap!.

pt:a localização actual do dispositivo

Alert!

The stream version of IN FRONT OF. Streams, also called lazy lists, are like lists except that items are not computed until they're needed. This allows for more efficient handling of large computed lists, and even infinite lists. The only piece of magic is here in IN FRONT OF STREAM, whose second input is of type Unevaluated, which means that it's a procedure, with a sort of invisible gray ring. So HEAD OF STREAM is just ITEM 1 OF, but TAIL OF STREAM has a CALL block to make the computation happen. For a tutorial introduction to streams, read SICP 3.5: https://mitpress.mit.edu/sites/default/files/sicp/full-text/book/book-Z-H-24.html#%_sec_3.5 or Brian's lecture notes (start on page 74): https://people.eecs.berkeley.edu/~bh/61a-pages/Volume2/notes.pdf The above are clickable links!

pt:a prefixação de _ ao canal _

The stream version of ITEM 1 OF. Streams, also called lazy lists, are like lists except that items are not computed until they're needed. This allows for more efficient handling of large computed lists, and even infinite lists. The only piece of magic is in IN FRONT OF STREAM, whose second input is of type Unevaluated, which means that it's a procedure, with a sort of invisible gray ring. So HEAD OF STREAM is just ITEM 1 OF, but TAIL OF STREAM has a CALL block to make the computation happen. For a tutorial introduction to streams, read SICP 3.5: https://mitpress.mit.edu/sites/default/files/sicp/full-text/book/book-Z-H-24.html#%_sec_3.5 or Brian's lecture notes (start on page 74): https://people.eecs.berkeley.edu/~bh/61a-pages/Volume2/notes.pdf The above are clickable links!

pt:o primeiro item do canal _

The stream version of ALL BUT FIRST OF. Streams, also called lazy lists, are like lists except that items are not computed until they're needed. This allows for more efficient handling of large computed lists, and even infinite lists. The only piece of magic is in IN FRONT OF STREAM, whose second input is of type Unevaluated, which means that it's a procedure, with a sort of invisible gray ring. So HEAD OF STREAM is just ITEM 1 OF, but TAIL OF STREAM has a CALL block to make the computation happen. For a tutorial introduction to streams, read SICP 3.5: https://mitpress.mit.edu/sites/default/files/sicp/full-text/book/book-Z-H-24.html#%_sec_3.5 or Brian's lecture notes (start on page 74): https://people.eecs.berkeley.edu/~bh/61a-pages/Volume2/notes.pdf The above are clickable links!

pt:um canal com todos os itens de _ menos o primeiro 423true4

The stream version of variadic MAP (any number of input lists, like MULTIMAP in the list utilities library). Streams, also called lazy lists, are like lists except that items are not computed until they're needed. This allows for more efficient handling of large computed lists, and even infinite lists. The only piece of magic is in IN FRONT OF STREAM, whose second input is of type Unevaluated, which means that it's a procedure, with a sort of invisible gray ring. So HEAD OF STREAM is just ITEM 1 OF, but TAIL OF STREAM has a CALL block to make the computation happen. For a tutorial introduction to streams, read SICP 3.5: https://mitpress.mit.edu/sites/default/files/sicp/full-text/book/book-Z-H-24.html#%_sec_3.5 or Brian's lecture notes (start on page 74): https://people.eecs.berkeley.edu/~bh/61a-pages/Volume2/notes.pdf The above are clickable links!

pt:a aplicação de _ aos itens dos canais _

The stream version of KEEP. Streams, also called lazy lists, are like lists except that items are not computed until they're needed. This allows for more efficient handling of large computed lists, and even infinite lists. The only piece of magic is in IN FRONT OF STREAM, whose second input is of type Unevaluated, which means that it's a procedure, with a sort of invisible gray ring. So HEAD OF STREAM is just ITEM 1 OF, but TAIL OF STREAM has a CALL block to make the computation happen. For a tutorial introduction to streams, read SICP 3.5: https://mitpress.mit.edu/sites/default/files/sicp/full-text/book/book-Z-H-24.html#%_sec_3.5 or Brian's lecture notes (start on page 74): https://people.eecs.berkeley.edu/~bh/61a-pages/Volume2/notes.pdf The above are clickable links!

pt:os itens tais que _ do canal _

The inputs are a stream and a positive integer. SHOW STREAM reports a regular finite list of length less than (for short finite streams) or equal to the second input. It's useful because an infinite stream can't be displayed in a finite amount of time.

pt:uma lista com os itens do canal _ até ao _ º 100

Make a stream from a finite collection of items, like the LIST primitive. Since this block is typically used for small amounts of data, it does not delay computation of its inputs.

pt:um canal com _

Call this block with STREAM WITH NUMBERS FROM 2 as its input to get the infinite stream of all the prime numbers. It's called SIEVE because the algorithm it uses is the Sieve of Eratosthenes (clickable link): https://en.wikipedia.org/wiki/Sieve_of_Eratosthenes Look inside; it's a beautifully elegant algorithm. For a tutorial introduction to streams, read SICP 3.5: https://mitpress.mit.edu/sites/default/files/sicp/full-text/book/book-Z-H-24.html#%_sec_3.5 or Brian's lecture notes (start on page 74): https://people.eecs.berkeley.edu/~bh/61a-pages/Volume2/notes.pdf The above are clickable links!

pt:a crivagem do canal _

The stream version of NUMBERS FROM 1 TO, with no ending number because it reports the infinite stream of all the integers greater than or equal to its input. Read the code! It's deceptively simple. Streams, also called lazy lists, are like lists except that items are not computed until they're needed. This allows for more efficient handling of large computed lists, and even infinite lists. The only piece of magic is in IN FRONT OF STREAM, whose second input is of type Unevaluated, which means that it's a procedure, with a sort of invisible gray ring. So HEAD OF STREAM is just ITEM 1 OF, but TAIL OF STREAM has a CALL block to make the computation happen. For a tutorial introduction to streams, read SICP 3.5: https://mitpress.mit.edu/sites/default/files/sicp/full-text/book/book-Z-H-24.html#%_sec_3.5 or Brian's lecture notes (start on page 74): https://people.eecs.berkeley.edu/~bh/61a-pages/Volume2/notes.pdf The above are clickable links!

pt:um canal com os números a partir de _ 1

Read the code while running it,

de:sprich _ mit _ Aussprache _ und Höhe _ Geschwindigkeit _ pt:fala _ na língua _ _ com tom _ e velocidade _ ca:digues _ amb accent _ _ to _ i velocitat _ Hello, World!en-USالعربية=ar Български=bg বাংলা=bn Català=ca Català - Valencià=ca-VA Česky=cs Deutsch=de Dansk=dk Ελληνικά=el English-American=en-US English-British=en-GB Esperanto=eo Español=es Eesti=et Euskara=eu suomi=fi Français=fr Galego=gl Hrvatski=hr Magyar=hu Interlingua=ia Bahasa Indonesia=id Italiano=it 日本語=ja にほんご=ja-HIRA ಕನ್ನಡ=kn 한국어=ko Malayalam=ml Nederlands=nl Norsk=no Polski=pl Português=pt Português do Brasil=pt-BR Român=ro Русский=ru Slovenščina=si svenska=sv Tamil=ta Telagu=te Türkçe=tr Українська=ua 简体中文=zh-CN 繁體中文=zh-TW11

wv1

Alert!Yes

creates a new window with just a few attributes

New Window240180 (QdowAPI)223015errorerrorQdow 1.3 Made by UnifyStageStop

New Window

Stop

de:animiere _ um _ in _ Sek. beschleunigt: _ ca:modifica _ amb _ en _ segons de forma _ pt:anima _ de _ em _ s de forma _ x positionx position y position direction size ghost effect color effect saturation effect brightness effect fisheye effect whirl effect pixelate effect mosaic effect negative effect tempo volume balance501linearlinear quadratic={ quadratic-in quadratic-out quadratic-in-out } cubic={ cubic-in cubic-out cubic-in-out } quart={ quart-in quart-out quart-in-out } sinusoidal={ sine-in sine-out sine-in-out } elasticy positiondirectionsizetempovolumebalance1

de:Beschleunigung _ ca:de forma _ pt:a forma _ linearlinear quadratic={ quadratic-in quadratic-out quadratic-in-out } cubic={ cubic-in cubic-out cubic-in-out } quart={ quart-in quart-out quart-in-out } sinusoidal={ sine-in sine-out sine-in-out } elasticquadratic-inquadratic-outquadratic-in-outcubic-incubic-outcubic-in-outquart-inquart-outquart-in-outsine-insine-outsine-in-outelastic

unknown easing function ""

de:Grad _ ca:graus de _ radians pt:_ radianos em graus 0.5

de:Fehler _ pt:assinala o erro _

de:animiere Setter _ Getter _ Delta _ über _ Sek. beschleunigt _ ca:modifica setter _ i getter _ amb delta _ en _ segons de forma _ pt:anima com modificador _ e inspector _ de _ em _ s de forma _ 501

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

Throw an error. Makes a red halo appear around the script that runs it, with the input text shown in a speech balloon next to the script, just like any Snap! error. This is useful to put in the second script of SAFELY TRY after some other instructions to undo the partial work of the first script.

pt:lança o erro _

New Window

New Windowerror

New Window

Catch errors. Runs the first script. If it succeeds, nothing else happens. But if it has an error (something that would otherwise result in a red halo around the block), then the second script is run, with the text of the error message that would have been shown in the variable ERROR.

pt:tenta executar _ e, em caso de erro _ , executa _ ca:prova de forma segura _ i si _ _

New Window200100true

Stage480

100,100,100,1-1018

1 (QdowAPI)12

100,100,100,175- ▢ ✖12

Hello!12

errorcostume00255,255,255,1costume15015015025510204567811200200100,100,100,1-10182.2

1 (QdowAPI)111.2

100,100,100,11002001.6- ▢ ✖101.200

New Window

monospacearial cursive monospacefalsefalse

New Window

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

TotemiaMoreRemoveBrowser Data (On Snap!)Clear DataDrawOneBar4Live WallpaperWallpaperWoodsWinterPure SpringDock ControlCharcoalCharcoalTimezone (Beta)SPKE

You're Late!AsterunFrameline: Classic Combat

1New Hyponotre

BuyRedeem

Notes

TerminalAboutHyposyn MapsLXP StudioThumbnailsHyposyn Search///:os5manualos4manualos3manualCalculatorFlip A CoinReminders

1,72,135,1

000000snekos,"[""https://snipos-xml.netlify.app/snekos/sprite(2)%20(1).xml"",""https://snipos-xml.netlify.app/snekos/sprite%20(3).xml"",""https://snipos-xml.netlify.app/snekos/sprite(3).xml""]"000000212196 reportJSFunction reportPipe receiveUserEdit getPosition reportMousePosition doDefineBlock doSetBlockAttribute doDeleteBlock reportBlockAttribute reportEnvironment reportNewCostumeSkewed reportAtan2 reportVariadicMin reportVariadicMax receiveSlotEvent doSetSlot receiveConditionEvent reportColor reportColorAttribute reportNewColor reportPoll

de:Kostüm aus Text _ Größe _ pt:um traje com o texto _ de tamanho _ ca:vestit amb el text _ i mida _ A72

§_costumesMenu2002Use this block to make "clickable" buttons:

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. A note name and duration (whole, half, quarter, etc.) can be selected from the drop-down menu.

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. This block does note wait for the selected note to finish playing. A note name and duration (whole, half, quarter, etc.) can be selected from the drop-down menu.

Waits for the selected musical duration.

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 }

Each note duration is assigned a numerical value, with a whole note equallying four beats. 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. Since there are 60 seconds in a minute, dividing 60 by the tempo and then multiplying it by a note's duration alters the duration of the notes to make them match the global tempo.

Plays a list of notes simultaneously for the specified musical duration.

Reports the note in the specified position within the specified major scale.

11 2 3 4 5 6 7C40 1 2 3 4 5 6 7

Creates a list consisting of the specified scale, starting in the first octave and ending in the seventh octave.Finds the position of Notes 1 and 2 in the extended scale.

Checks to see if the specified notes are in the selected major scale.Reports the numerical interval between the specified notes in the selected major scale.

Reports the note in the specified position within the specified minor scale.

11 2 3 4 5 6 7C40 1 2 3 4 5 6 7

Extracts and reports the name of a note from its scientific pitch notation. (e.g., "C#4" reports as "C#".)

Creates a list consisting of the specified scale, starting in the first octave and ending in the seventh octave.Finds the position of Notes 1 and 2 in the extended scale.

Checks to see if the specified notes are in the selected minor scale.Reports the numerical interval between the specified notes in the selected minor scale.

Reports all notes in a specified scale using the provided note and octave number as the starting note of the scale.

ChromaticChromatic Major Minor0 1 2 3 4 5 6 7

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 Minor0 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.)

MajorMajor MinorMinor

This block must be called. It executes a specific commands when corresponding conditions are met.

This block reports a list that consists of a specified note name and duration. These values can be selected using the drop-down menu or entered directly.

Reports all notes in the western chromatic scale. A drop down menu determines whether the scale will be reported using sharps or flats.

Reports all notes in a given major scale in order, beginning with the input note and octave.

CC D E F G A B Sharps={ C# D# E# F# G# A# B# } Flats={ Cb Db Eb Fb Gb Ab Bb }40 1 2 3 4 5 6 7

Reports all notes in a given minor scale in order, beginning with the input note and octave.

CC D E F G A B Sharps={ C# D# E# F# G# A# B# } Flats={ Cb Db Eb Fb Gb Ab Bb }40 1 2 3 4 5 6 7

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

CC D E F G A B Sharps={ C# D# E# F# G# A# B# } Flats={ Cb Db Eb Fb Gb Ab Bb }40 1 2 3 4 5 6 7

This block reports the chord positions in a major scale that use major chords.

This block reports the chord positions in a major scale that use minor chords.

This block reports the chord positions in a minor scale that use major chords.

This block reports the chord positions in a major scale that use major chords.

Selects the notes of the Diminished scale from the Chromatic scale.Reports all notes in a given diminished scale in order, beginning with the input note. Does not include octave.

Reports all notes in a given diminished scale in order, beginning with the input note and octave.

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.

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

CC D E F G A B Sharps={ C# D# E# F# G# A# B# } Flats={ Cb Db Eb Fb Gb Ab Bb }40 1 2 3 4 5 6 7

CC D E F G A B Sharps={ C# D# E# F# G# A# B# } Flats={ Cb Db Eb Fb Gb Ab Bb }40 1 2 3 4 5 6 7II ii iii IV V vi vii°Outputs the major chords in a scale.

Outputs the minor chords in a scale.

7Outputs the diminished chord in a scale.

CC D E F G A B Sharps={ C# D# E# F# G# A# B# } Flats={ Cb Db Eb Fb Gb Ab Bb }40 1 2 3 4 5 6 7ii ii° III iv v VI VIIOutputs the major chords in a scale.

Outputs the minor chords in a scale.

2Outputs the diminished chord in a scale.

Each major scale is listed, along with the notes it contains and the number of notes in the scale before an octave change.

Each minor scale is listed, along with the notes it contains and the number of notes in the scale before an octave change.

Reports the number of notes in the specified scale before an octave change.

Reports the number of notes in the selected scale before an octave change.

Reports the notes in the specified scale.

Reports the notes in the specified minor scale.

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

MajorMajor Minor

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 Minor0 1 2 3 4 5 6 7Major Positions={ I ii iii IV V vi vii° } Minor Positions={ i ii° III iv v VI VII }

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 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 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. For example, in 4/4 time, there can be four quarter notes within a measure. The Beats in Measure reports the discrepancy between the number of actual beats in a measure versus the required number of beats.

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

Each note duration is assigned a numerical value, with a whole note equallying four beats. 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. Unlike the "Adjusted Note Duration" block, the values reported here are not linked to the global temp reporter.

Piano 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 } Other={ Accordion Marimba Organ Vibraphone }Melody

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 Sixteenth

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

Reports the corresponding note (in scientific pitch notation) for the specified MIDI number.

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.

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

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 }

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

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

This block turns off all the tones currently playing.

pt:executa no modo turbo _

generate a list of samples representing a sine wave at the given frequency, duration and sample rate

pt:as amostras de som com _ Hz de _ s amostrado a _ Hz ca:_ Hz durant _ segons amb mostreig de _ Hz 440a 55=55 a 110=110 a 220=220 a 440=440 a 880=880 a 1760=1760 a 3520=352014410022.05 kHz=22050 44.1 kHz=44100 88.2 kHz=88200 96 kHz=96000

pt:π

pt:_ radianos em graus ca:graus de _ radiants 0.5

pt:o som _ ca:so de nom _ §_soundsMenu

quickly plot the samples of a sound, a list of samples (single channel), or a list of lists (multiple channels) to the stage at a lower resolution.

pt:desenha o gráfico do som _ ca:dibuixa el so _ §_soundsMenu1offset-2

records an audio snippet and reports it as a new sound, or zero if the user cancels

pt:$circleSolid-1-255-0-0 uma nova gravação ca:$circleSolid-1-255-0-0 enregistra

pt:a nota com _ Hz ca:nota de _ Hz 440

pt:a frequência da nota _ ca:freqüència (hz) de la nota _ 69

pt:o nome da nota _ ca:nom de la nota _ 69

what's your name?

Alert!

choose!

title

§_objectsMenuoption

leftleft righthey!

open my definition to look at examples how to use the menu blocks

de:sprich _ mit _ Aussprache _ und Höhe _ Geschwindigkeit _ und warte pt:fala _ na língua _ _ com tom _ e velocidade _ , e espera ca:digues _ amb accent _ _ to _ velocitat _ i espera Hello, World!en-USالعربية=ar Български=bg বাংলা=bn Català=ca Català - Valencià=ca-VA Česky=cs Deutsch=de Dansk=dk Ελληνικά=el English-American=en-US English-British=en-GB Esperanto=eo Español=es Eesti=et Euskara=eu suomi=fi Français=fr Galego=gl Hrvatski=hr Magyar=hu Interlingua=ia Bahasa Indonesia=id Italiano=it 日本語=ja にほんご=ja-HIRA ಕನ್ನಡ=kn 한국어=ko Malayalam=ml Nederlands=nl Norsk=no Polski=pl Português=pt Português do Brasil=pt-BR Român=ro Русский=ru Slovenščina=si svenska=sv Tamil=ta Telagu=te Türkçe=tr Українська=ua 简体中文=zh-CN 繁體中文=zh-TW11

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Flute,Bassoon,Choir,Vibraphone,Music Box,Steel Drum,Marimba,Synth Lead,Synth Pad,Silent,Silent,Synth Lead,Synth Pad,Silent,Silent,piano,Electric Piano,Organ,Guitar,Electric Guitar,Bass,Pizzicato,Cello,Trombone,Clarinet,Saxophone,Flute,Wooden Flute,Bassoon,Choir,Vibraphone,Music Box,Steel Drum,Marimba,Synth Lead,Synth Pad,Silent,Silent,piano,Electric Piano,Organ,Guitar,Electric Guitar,Bass,Pizzicato,Cello,Trombone,Clarinet,Saxophone,Flute,Wooden Flute,Bassoon,Choir,Vibraphone,Music Box,Steel Drum,Marimba,Synth Lead,Synth Pad,Silent,Silent,Synth Lead,Synth Pad,Silent,Silent,piano,Electric Piano,Organ,Guitar,Electric Guitar,Bass,Pizzicato,Cello,Trombone,Clarinet,Saxophone,Flute,Wooden Flute,Bassoon,Choir,Vibraphone,Music Box,Steel Drum,Marimba,Synth Lead,Synth Pad,Silent,Silent,piano,Electric Piano,Organ,Guitar,Electric Guitar,Bass,Pizzicato,Cello,Trombone,Clarinet,Saxophone,Flute,Wooden Flute,Bassoon,Choir,Vibraphone,Music Box,Steel Drum,Marimba,Synth Lead,Synth Pad,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent,Silent1wrwwwrwwwrwwwrwwwwrwwwrwwwrwwwrwwwwwwwwwwwwwwwwwwwwgwwwgwwwgwwwgwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwfwwwwwwffwwwwwwwwwwwwwwwwwwwwffwwwwwwffwwwwwfwwfwwwwfwwwwwwwwwwwwwwwwwwwwwwfwwwwwwwfwwwwwwwwwwwwwwwwwwwwwwfwwwwwwwfwwwwwww1,w,r,w,w,w,r,w,w,w,r,w,w,w,r,w,w,w,w,r,w,w,w,r,w,w,w,r,w,w,w,r,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,g,w,w,w,g,w,w,w,g,w,w,w,g,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,f,w,w,w,w,w,w,f,f,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,f,f,w,w,w,w,w,w,f,f,w,w,w,w,w,f,w,w,f,w,w,w,w,f,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,f,w,w,w,w,w,w,w,f,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,w,f,w,w,w,w,w,w,w,f,w,w,w,w,w,w,w0go000Converted by Snapinator reportJSFunction reportPipe receiveUserEdit getPosition reportMousePosition doDefineBlock doSetBlockAttribute doDeleteBlock reportBlockAttribute reportEnvironment reportNewCostumeSkewed reportAtan2 reportVariadicMin reportVariadicMax receiveSlotEvent doSetSlot receiveConditionEvent reportColor reportColorAttribute reportNewColor reportPoll

de:gleite _ in _ Sek. beschleunigt: _ ca:llisca _ en _ segons de forma _ fr:glisser _ en _ sec. accélérer _ pt:desliza _ em _ s de forma _ 501linearlinear quadratic={ quadratic-in quadratic-out quadratic-in-out } cubic={ cubic-in cubic-out cubic-in-out } quart={ quart-in quart-out quart-in-out } sinusoidal={ sine-in sine-out sine-in-out } elastic

de:für _ = _ bis _ _ in _ Sek. beschleunigt: _ _ ca:per _ = _ fins _ _ en _ segons de forma _ _ pt:para _ de _ a _ _ em _ s de forma _ _ 01001linearlinear quadratic={ quadratic-in quadratic-out quadratic-in-out } cubic={ cubic-in cubic-out cubic-in-out } quart={ quart-in quart-out quart-in-out } sinusoidal={ sine-in sine-out sine-in-out } elastic

de:Kostüm aus Text _ Größe _ pt:um traje com o texto _ de tamanho _ A72

Delete all clones from the current sprite. Block by Loucheman

return is javascript is enable Thk to Joecooldo

err_reset

Return true if the pivot (rotation center) is on the stage

Return true if the pivot (rotation center) is on the stage (watch only x axis)

Return true if the pivot (rotation center) is on the stage (watch only y axis)

pt:π

pt:_ radianos em graus 0.5

pt:_ radianos em graus 90

2020

2add comment here...

12.52

10.123452

This is a message !

false

@SaveX

@SaveY

@SaveDir

@SaveCostume

@SaveGhostEffect

@SaveColor

@SaveSaturation

@SaveBrightness

@SaveFisheye

@SaveWhirl

@SaveNegative

@SaveMosaic

@SavePixelate

This block reports "true" if there is a variable with this given name (input slot) in that context. It can be a global, sprite or script variable. Otherwise it reports "false".

pt:a variável _ existe ca:existeix la variable _ ? es:existe la variable _ ? de:existiert var _ ? err_reset

MySpriteVar

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

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

Remap a value from a original range of value to another range of value. example: you have a value in a range of 0 to 5 and you want to transpose this value to another range of values 0 -100. in this case: if value = 0 return 0 if value = 3 return 60 if value = 5 return 100 another example: you want to do 2.5D (size change with y position) you can remap the y position of your sprite to obtain the size of your object remap "y position" from range -180 to 180 to range 100 to 10 if y position = -180 return 100 (the size) if y position = 100 return 30 if y position = 180 return 10 use the result to change the size of your sprite ! Block by Loucheman See example at: https://snap.berkeley.edu/snap/snap.html#present:Username=loucheman&ProjectName=remap%20value&editMode&noRun

480360

by Loucheman Insert a substring into a string at a defined position

Return the x.y position of a sprite

LastKeys

valueindexlist

LET (FOO) BE (5) is equivalent to SCRIPT VARIABLES (FOO) SET (FOO) TO (5)

pt:cria a variável de guião _ com valor _

Reports a new list whose items are the same as in the input list, except that if two or more equal items appear in the input list, only the last one is kept in the result.

ca:elimina els duplicats de _

pt:a aplicação a _ de _

01By adding 0.5 or 0.6, the "pick random" is switching to the real world... If (n1+.5) and (n2+.5 (2 integers)), adding .6 instead...

smallsmall medium large x-largefalsesaveFlatLineEndsdistdotLengthspaceLengthnbSegmentnbDotnbSpacesaveFlatLineEndsdist

dotLengthnbSegment211should be odd...nbSpace

nbDotspaceLength

false

Calculate the distance between 2 positions (x1y1 -> x2y2) or 2 objects.

Détermine x2y2

212Si le paramètre est une coordonnée

Pytagore:on trouve la longueur de l'hypoténuse

Return a costume from commands.Last position will be the pivot. ex: goto 0,0 pen down move 10 rotate 90 move 10

de:Kostüm aus Text _ Größe _ pt:um traje com o texto _ de tamanho _ ca:vestit amb el text _ i mida _

Finds each instance of a block or variable in a project and shows the script(s) it is in (minus any hat block) If you enter plain text, it will return scripts that contain that text. Note: You need to right-click and ringify the block/variable being searched for

result1key1resultvaluesprite refall sprites

Return a new costume of the color of your choice. Block by Loucheman

Button costume from text v1.1 By Loucheman Create a costume for any button you want ! text: text on the button Size: size of text MarX: left and right margin to increase the width of the button MarY: save as MarX but fot height pensize: thickness of the line Thk Dardoro for the color picker functionality.

Button2020105centerleft center rightcenterupper center bottom

Delete all clones from a selected sprite. Block by Loucheman

§_objectsMenu

Delete all clones from all sprites. Block by Loucheman

by dardoro

Button costume from text v1.2 By Loucheman Create a costume for any button you want ! text: text on the button Size: size of text MarX: left and right margin to increase the width of the button MarY: save as MarX but fot height pensize: thickness of the line Thk Dardoro for the color picker functionality.

Button2020105centerleft center rightcenterupper center bottom

pt:a soma de _

Reports the portion of the first input string starting after the first occurrence of the second string. If the second string isn't found in the first string, reports an empty string.

pt:o texto de _ depois de _

Reports the character position (starting from 1) of the beginning of the first input string inside the second input string. If it's not found, reports 0.

pt:a posição de _ em _

err_reset

Reports the input text with lower case letters instead of capital letters in the input. Uses the user's locale's rules for case conversion.

pt:em minúsculas _

Reports the portion of the first input (string) starting at the position given by the second input (counting from 1, like LETTER n OF) and ending at the position given by the third input (also counting from 1). If the third input is empty, reports the portion from the first position to the end of the string. If a position number is negative, counts from the end backward, so -1 is the last character, -2 is the next to last, etc.

pt:o texto de _ entre as posições _ e _ , inclusive

Reports the part of the first string up to the first instance of the second string inside it. If the second string isn't found, reports the entire first string.

pt:o texto de _ antes de _

Takes three inputs for red, green, and blue values, each between 0 and 255. 0,0,0 is black; 255,255,255 is white. 255,255,0 is yellow, and so on. The SET PEN block in this library lets you set individual red, green, or blue without changing the others, lets you provide a list of three RGB color components, and lets you provide a six-digit hexadecimal number, the form in which RGB color values are usually found online. See Appendix A of the Snap! Reference Manual for details.

pt:altera a cor da tua caneta para vermelho _ , verde _ e azul _ (0 a 255) ca:fixa el llapis al color r: _ g: _ b: _ 25500

Takes a text string as input, and reports a new text string containing all but the first character of the input.

pt:_ sem o primeiro caractere ca:_ sense la primera lletra

All but first of empty word.

Takes a text string as input, divides it into words treating one or more spaces as a word separator (only spaces count; punctuation is part of the word) and reports a text string containing all but the first word, with one space between words and no spaces at the beginning or end. (Note: consider using SENTENCE➞LIST and processing the resulting list instead of doing recursion on sentences in text string form. List operations are faster.)

pt:_ sem a primeira palavra ca:_ sense la primera paraula

All but first of empty sentence.

Takes a text string as input, and reports a new text string containing all but the last letter of the input.

pt:_ sem o último caractere ca:_ sense la darrera lletra

All but first of empty word.

Takes a text string as input, divides it into words treating one or more spaces as a word separator (only spaces count; punctuation is part of the word) and reports a text string containing all but the last word, with one space between words and no spaces at the beginning or end. (Note: consider using SENTENCE->LIST and processing the resulting list instead of doing recursion on sentences in text string form. List operations are faster.)

pt:_ sem a última palavra ca:_ sense la darrera paraula

All but last of empty sentence.

pt:a primeira palavra de _ ca:primera paraula de _

Takes a text string as input, and reports the last character in the string.

pt:o último caractere de _ ca:primera lletra de _ 0

pt:a última palavra de _ ca:darrera paraula de _

Last of empty sentence.

Takes a text string as input, and reports TRUE if the string has no characters in it of any kind, otherwise false.

pt:a palavra _ está vazia ca:paraula buida? _ 0

Takes a text string as input, and reports TRUE if the input contains no characters other than spaces (therefore, no words when the string is considered as a sentence), otherwise FALSE.

pt:a frase _ está vazia ca:frase buida? _

Like JOIN, takes any number of words (text strings) and reports a sentence with its inputs concatenated, but inserts a blank space between the inputs. Consider using SENTENCE (Lists palette) instead.

de:füge Wörter zusammen _ ca:uneix les paraules _ es:unir las palabras _ fr:fusionne les mots _ pt:uma frase com as palavras _ firstbffirst1

1bf

Takes a sentence in list form and reports the sentence as a text string.

de:Liste $arrowRight Satz _ ca:llista $arrowRight frase _ es:lista $arrowRight frase _ fr:liste $arrowRight phrase _ pt:uma frase com as palavras em _

Takes a sentence in text string form and reports the sentence as a list of its words.

de:Satz $arrowRight Liste _ ca:frase $arrowRight llista _ es:frase $arrowRight lista _ fr:phrase $arrowRight liste _ pt:uma lista com as palavras da frase _

report a list in which each item is one letter from the input word

de:Wort $arrowRight Liste _ ca:paraula $arrowRight llista _ es:palabra $arrowRight lista _ fr:mot $arrowRight liste _ pt:uma lista com os caracteres da palavra _

join all the items of the input list into a single word, and report it

de:Liste $arrowRight Wort _ ca:llista $arrowRight paraula _ es:lista $arrowRight palabra _ fr:liste $arrowRight mot _ pt:uma palavra com os caracteres em _

SENTENCE is the main constructor for sentences, represented as lists of words. It takes zero or more inputs, each of which can be either a list or a text string. If a list, the input is assumed to be a list of words. If a text string, it is converted to a list of words using SENTENCE→LIST. Then all the lists of words are appended to form a new list of words. If the inputs are lists of lists rather than lists of words, SENTENCE, like APPEND, does only one level of flattening, reporting a list of all the items of all the input lists.

ca:frase _

pt:lança o erro _

Takes a (possibly deep) list as input, and reports a human-readable text form of the list (namely, Lisp notation).

ca:notació textual de _ (

)

Helper function for word/sentence library. Reports its first input, unless that input is empty, in which case it gives its second input as an error message.

Takes a text string as input, and reports the first character in the string.

pt:a primeira palavra de _ ca:primera lletra de _

Add leading char to a number By Loucheman v1.2 useful to display the score in a game

generate buttons for numbers

.number

+operator

-operator

Xoperator

/operator

Coperator

=operator

-5000i19#1place buttons on the screen

if 1st numberupdate display1Display line1 = numberAOperatornumberBresultupdate display2Display line2 =

250=operator1 + 111 = 1200123456789.+-X/C=operatorHyposyn Maps - Beta 1.6(H) Use Arrow Keys to move. + or - to Zoom in or out. R for Driving Mode, continously follows you. Driving Mode: which follows your location constantly, useful when driving. Update: 4 More Map Views (6 Total) reportJSFunction reportPipe receiveUserEdit getPosition reportMousePosition doDefineBlock doSetBlockAttribute doDeleteBlock reportBlockAttribute reportEnvironment reportNewCostumeSkewed reportAtan2 reportVariadicMin reportVariadicMax receiveSlotEvent doSetSlot receiveConditionEvent reportColor reportColorAttribute reportNewColor reportPoll

de:$globe zeige aktuellen Standort pt:mostra a localização corrente do dispositivo no $globe ca:$globe centra a la meva ubicació

de:$globe Zoom pt:o zoom do $globe ca:$globe zoom

de:setze $globe Zoom auf _ pt:altera o zoom do $globe para _ ca:$globe fixa el zoom a _ 10

de:$globe Längengrad von x _ pt:a longitude no $globe da coordenada x _ ca:$globe longitud per a x _ 0

de:$globe Breitengrad von y _ pt:a latitude no $globe da coordenada y _ ca:$globe latitud per a y _ 0

de:setze $globe auf Länge: _ Breite: _ pt:altera a posição no $globe para (longitude: _ , latitude: _ ) ca:$globe centra a longitud: _ latitud: _ -122.25785237.872099

de:y von $globe Breitengrad _ pt:a coordenada y da latitude _ no $globe ca:$globe y per a latitud _

de:x von $globe Längengrad _ pt:a coordenada x da longidude _ no $globe ca:$globe x per a longitud _

de:ändere $globe um x: _ y: _ Pixel pt:desloca a posição do mapa de (x: _ , y: _ ) ca:$globe canvia la ubicació en x: _ y: _ píxels 1010

de:$globe Entfernung in km zu _ pt:a tua distância em km a _ no $globo ca:$globe distància en km fins a _ §_objectsMenumap_dist(lat1, lon1, lat2, lon2)

de:$globe aktuelle Position pt:a localização corrente do dispositivo no $globe ca:$globe ubicació actual

de:$globe aktueller Breitengrad pt:a latitude corrente do dispositivo no $globe ca:$globe latitud actual

de:$globe aktueller Längengrad pt:a longitude corrente do dispositivo no $globe ca:$globe longitud actual

de:aktualisiere $globe pt:actualiza o $globe ca:$globe força refresc

de:$globe als Kostüm pt:a parte visível do $globe na forma de traje ca:$globe vestit del mapa actual

de:setze $globe Stil auf _ pt:altera o estilo do $globe para _ ca:$globe fixa l'estil de mapa a _ OpenStreetMapOpenStreetMap Wikimedia Watercolor Toner Terrain Topographic Satellite Streets Shading Mapbox (experimental)

what's your name?

Alert!

choose!

title

§_objectsMenuoption

leftleft righthey!

open my definition to look at examples how to use the menu blocks

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% Zoomv1.2n12000THING TEXT EDITOR! reportJSFunction reportPipe receiveUserEdit getPosition reportMousePosition doDefineBlock doSetBlockAttribute doDeleteBlock reportBlockAttribute reportEnvironment reportNewCostumeSkewed reportAtan2 reportVariadicMin reportVariadicMax receiveSlotEvent doSetSlot receiveConditionEvent reportColor reportColorAttribute reportNewColor reportPoll

Takes a text string as input, and reports a new text string containing all but the first character of the input.

pt:_ sem o primeiro caractere

All but first of empty word.

pt:_ sem a primeira palavra

All but first of empty sentence.

Takes a text string as input, and reports a new text string containing all but the last letter of the input.

pt:_ sem o último caractere

All but first of empty word.

Takes a text string as input, divides it into words treating one or more spaces as a word separator (only spaces count; punctuation is part of the word) and reports a text string containing all but the last word, with one space between words and no spaces at the beginning or end. (Note: consider using SENTENCE->LIST and processing the resulting list instead of doing recursion on sentences in text string form. List operations are faster.)

pt:_ sem a última palavra

All but last of empty sentence.

pt:a primeira palavra de _

Takes a text string as input, and reports the last character in the string.

pt:o último caractere de _ 0

pt:a última palavra de _

Last of empty sentence.

Takes a text string as input, and reports TRUE if the string has no characters in it of any kind, otherwise false.

pt:a palavra _ está vazia 0

Takes a text string as input, and reports TRUE if the input contains no characters other than spaces (therefore, no words when the string is considered as a sentence), otherwise FALSE.

pt:a frase _ está vazia

Like JOIN, takes any number of words (text strings) and reports a sentence with its inputs concatenated, but inserts a blank space between the inputs. Consider using SENTENCE (Lists palette) instead.

de:füge Wörter zusammen _ ca:uneix les paraules _ es:unir las palabras _ fr:fusionne les mots _ pt:uma frase com as palavras _ firstbffirst1

1bf

Takes a sentence in list form and reports the sentence as a text string.

de:Liste $arrowRight Satz _ ca:llista $arrowRight frase _ es:lista $arrowRight frase _ fr:liste $arrowRight phrase _ pt:uma frase com as palavras em _

report a list in which each item is one letter from the input word

de:Wort $arrowRight Liste _ ca:paraula $arrowRight llista _ es:palabra $arrowRight lista _ fr:mot $arrowRight liste _ pt:uma lista com os caracteres da palavra _

join all the items of the input list into a single word, and report it

de:Liste $arrowRight Wort _ ca:llista $arrowRight paraula _ es:lista $arrowRight palabra _ fr:liste $arrowRight mot _ pt:uma palavra com os caracteres em _

pt:lança o erro _

Helper function for word/sentence library. Reports its first input, unless that input is empty, in which case it gives its second input as an error message.

Takes a text string as input, and reports the first character in the string.

pt:a primeira palavra de _

Reports the value previously stored under the input key in the browser's local storage. Reports False if the key is not found.

Reports a new list whose items are the same as in the input list, except that if two or more equal items appear in the input list, only the first one is kept in the result.

ca:elimina els duplicats de _ 1

Reports a sorted version of the list in its first input slot, using the comparison function in the second input slot. For a list of numbers, using < as the comparison function will sort from low to high; using > will sort from high to low.

ca:ordena _ segons criteri _ copy of datasplitmerge11#1#2

ca:associació _ _ 11

This block carries out the given script for each item of the given list, like the primitive FOR EACH. What's different is that it provides the # variable, which will contain the item number in the list of each item in turn, 1 while processing item 1, and so on.

ca:_ per cada _ de _ _

Takes a (possibly deep) list as input, and reports a human-readable text form of the list (namely, Lisp notation). Will not work on circular lists.

(

)

ZIP takes any number of lists as inputs. The lists should all be the same length. ZIP reports a list of lists in which the first item is a list of all the first items, the second item is a list of all the second items, etc. Viewing the inputs as the rows of a matrix, ZIP reports its transpose.

The identity function reports its input.

Takes as input a function of N inputs and N lists. The function is called with item 1 of all the lists as its inputs, with item 2 of all the lists as its inputs, and so on. (The lists should all be the same length.)

Takes a sentence in text string form and reports the sentence as a list of its words.

de:Satz $arrowRight Liste _ ca:frase $arrowRight llista _ es:frase $arrowRight lista _ fr:phrase $arrowRight liste _ pt:uma lista com as palavras da frase _

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reportPolldata:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAeAAAAFoCAYAAACPNyggAAAAAXNSR0IArs4c6QAAGeRJREFUeF7t3b+uZcXRhvFD5KuwPJfAFQATEhL6KiAlAZ2rIuYKOJMAieWRTOCMPwEMCOZYG1mWk629e62qrmr1D+mTk9VdtZ/uqQf0qed958E/CCCAAAIIIDCdwDvTKyqIAAIIIIAAAg8E7BIggAACCCBQQICAC6AriQACCCCAAAG7AwgggAACCBQQIOAC6EoigAACCCBAwO4AAggggAACBQQIuAC6kggggAACCBCwO4AAAggggEABAQIugK4kAggggAACBOwOIIAAAgggUECAgAugK4kAAggggAABuwMIIIAAAggUECDgAuhKIoAAAgggQMDuAAIIIIAAAgUECLgAupIIIIAAAggQsDuAAAIIIIBAAQECLoCuJAIIIIAAAgTsDiCAAAIIIFBAgIALoCuJAAIIIIAAAbsDCCCAAAIIFBAg4ALoSiKAAAIIIEDA7gACCCCAAAIFBAi4ALqSCCCAAAIIELA7gAACCCCAQAEBAi6AriQCCCCAAAIE7A4ggAACCCBQQICAC6AriQACCCCAAAG7AwgggAACCBQQIOAC6EoigAACCCBAwO4AAggggAACBQQIuAC6kggggAACCBCwO4AAAggggEABAQIugK4kAggggAACBOwOIIAAAgggUECAgAugK4kAAggggAABuwMIIIAAAggUECDgAuhKIoAAAgggQMDuAAIIIIAAAgUECLgAupIIIIAAAggQsDuAAAIIIIBAAQECLoCuJAIIIIAAAgTsDiCAAAIIIFBAgIALoCuJAAIIIIAAAbsDCCCAAAIIFBAg4ALoSiKAAAIIIEDA7gACCCCAAAIFBAi4ALqSCCCAAAIIELA7gAACCCCAQAEBAi6AriQCCCCAAAIE7A4ggAACCCBQQICAC6AriQACCCCAAAEvfgeen5+fR3/CZclPP/308OrVq9fvvffeC+vHCODn/nT58/Pzzz+//PDDD1+P3WBfdyFAwF1O4mAfFwFfhPDbb7893OviX3/99eHp6enyf68//vjjF9bj5/6s+efnl19+efnpp58S8MH5Wb2MgKtP4GT9i30vQv3mm28eLv97zz9v3rx5+Oqrry7/Ffz6s88+e2E9fu7Pmn9+3r59+/Lx8ZGA7xl8Db8h4IaHMtLSRcAXob569erh8r/3/HP57vJfwG/evHn9+eefv7AeP/dnzT8/z8/PBHzP0Gv6DQE3PZh72yJg/wLhX6D2/RcoAr53Uvb8joB7nsvdXREwARMwAd89MHzYigABtzqO8WYImIAJmIDHJ4cVHQgQcIdTONEDARMwARPwiRFiaSEBAi6EH1GagAmYgAk4YpbYYz4BAp7PPLQiARMwARNw6FCx2TQCBDwNdU4hAiZgAibgnOli12wCBJxNOHl/AiZgAibg5DFj+yQCBJwEdta2BEzABEzAs+aNOrEECDiW5/Td3r59+3z5i+H/+zdb3VX/8ldPfv3115e/uvLPv4rSevzcnz//Zrjl/vz4izjuOrK2HxFw26O5r7Effvjh+TI8L3+3871/F/T/hS+8/uSTT15Yj5/7s+afHwK+b052/YqAu57MnX19+eWX/7wMzx9//PHuNKT/2/q7Dz744G9PT09/WI/fvWla7s//CJT/+Xl+fv774+Pjd3eOC581I0DAzQ5ktJ0zecBPT0//ev/99/96oOafecLW4+f+1P75+f77719+9NFH/xj9M+z7HgQIuMc5HO5CHrA8Y3nO++Y5ywM+PDpbLCTgFsdwvAl5wPKM5Tnvm+csD/j47OywkoA7nMKJHjxD8gzJMyTPkE6MEEsLCRBwIfyI0gRMwARMwBGzxB7zCRDwfOahFQmYgAmYgEOHis2mESDgaahzChEwARMwAedMF7tmEyDgbMLJ+xMwARMwASePGdsnESDgJLCztiVgAiZgAp41b9SJJUDAsTyn70bABEzABDx98CgYQoCAQzDWbULABEzABFw3gVQ+Q4CAz9BrsJaACZiACbjBKNLCAQIEfABapyUETMAETMCdZpJe7idAwPezavmlPGB5xvKc981zFkfYcizf3RQB342q54fygOUZy3PeN8+ZgHvO5Xu7IuB7STX9Th6wPGN5zvvmWcsDbjqY72yLgO8E1fUzecC1eazycPEfnQ2X+MioPG15wKP0e31PwL3OY7gbecDygOUBywMeHhwWtCBAwC2O4XgT8oDlAcsDlgd8fIJYWUmAgCvpB9T2DMkzJM+QPEMKGCW2KCBAwAXQI0sSMAETMAFHzhR7zSNAwPNYp1QiYAImYAJOGS42TSdAwOmIcwsQMAETMAHnThm7ZxEg4Cyyk/YlYAImYAKeNG6UCSZAwMFAZ29HwARMwAQ8e+6oF0OAgGM4lu1CwARMwARcNoAUPkWAgE/hq19MwARMwARcP4l0cIQAAR+h1mgNARMwARNwo5GklQECBDwAq+OnBEzABEzAHWeTnm4TIODbjFp/IQ9YHrA8YHnArYeU5q4SIODFL4c8YHnA8oDlAS8+xrZtn4AXP3p5wPKA5QHLA158jG3bPgEvfvTygOXRjl7hyDxaeci1908e8Ojt7/U9Afc6j+Fu5AHLA5YHLA94eHBY0IIAAbc4huNNyAOWBywPWB7w8QliZSUBAq6kH1DbMyTPkDxD8gwpYJTYooAAARdAjyxJwARMwAQcOVPsNY8AAc9jnVKJgAmYgAk4ZbjYNJ0AAacjzi1AwARMwAScO2XsnkWAgLPITtqXgAmYgAl40rhRJpgAAQcDnb0dARMwARPw7LmjXgwBAo7hWLYLARMwARNw2QBS+BQBAj6Fr34xARMwARNw/STSwRECBHyEWqM1BEzABEzAjUaSVgYIEPAArI6fEjABEzABd5xNerpNgIBvM2r9hTxgecDygOUBtx5SmrtKgIAXvxzygOUBywOWB7z4GNu2fQJe/OjlAcsDlgcsD3jxMbZt+wS8+NHLA67NY5WHi//oCInMY5YHPEq/1/cE3Os8hruRBywPWB6wPODhwWFBCwIE3OIYjjchD1gesDxgecDHJ4iVlQQIuJJ+QG3PkDxD8gzJM6SAUWKLAgIEXAA9siQBEzABE3DkTLHXPAIEPI91SiUCJmACJuCU4WLTdAIEnI44twABEzABE3DulLF7FgECziI7aV8CJmACJuBJ40aZYAIEHAx09nYETMAETMCz5456MQQIOIZj2S4ETMAETMBlA0jhUwQI+BS++sUETMAETMD1k0gHRwgQ8BFqjdYQMAETMAE3GklaGSBAwAOwOn5KwARMwATccTbp6TYBAr7NqPUX8oDlAcsDlgfcekhp7ioBAl78csgDlgcsD1ge8OJjbNv2CXjxo5cHLA9YHrA84MXH2LbtE/DiRy8PWB7t6BWOzKOVh1x7/+QBj97+Xt8TcK/zGO5GHrA8YHnA8oCHB4cFLQgQcItjON6EPGB5wPKA5QEfnyBWVhIg4Er6AbU9Q/IMyTMkz5ACRoktCggQcAH0yJIETMAETMCRM8Ve8wgQ8DzWKZUImIAJmIBThotN0wkQcDri3AIETMAETMC5U8buWQQIOIvspH0JmIAJmIAnjRtlggkQcDDQ2dsRMAETMAHPnjvqxRAg4BiOZbsQMAETMAGXDSCFTxEg4FP46hcTMAETMAHXTyIdHCFAwEeoNVpDwARMwATcaCRpZYAAAQ/A6vgpARMwARNwx9mkp9sECPg2o9ZfyAOWBywPWB5w6yGluasECHjxyyEPWB6wPGB5wIuPsW3bJ+DFj14esDxgecDygBcfY9u2T8CLH7084No8Vnm4+I+OkMg8ZnnAo/R7fU/Avc5juBt5wPKA5QHLAx4eHBa0IEDALY7heBPygOUBywOWB3x8glhZSYCAK+kH1PYMyTMkz5A8QwoYJbYoIEDABdAjSxIwARMwAUfOFHvNI0DA81inVCJgAiZgAk4ZLjZNJ0DA6YhzCxAwARMwAedOGbtnESDgLLKT9iVgAiZgAp40bpQJJkDAwUBnb0fABEzABDx77qgXQ4CAYziW7ULABEzABFw2gBQ+RYCAT+GrX0zABEzABFw/iXRwhAABH6HWaA0BEzABE3CjkaSVAQIEPACr46cETMAETMAdZ5OebhMg4NuMWn8hD1gesDxgecCth5TmrhIg4MUvhzxgecDygOUBLz7Gtm2fgBc/ennA8oDlAcsDXnyMbds+AS9+9PKA5dGOXuHIPFp5yLX3Tx7w6O3v9T0B9zqP4W7kAcsDlgcsD3h4cFjQggABtziG403IA5YHLA9YHvDxCWJlJQECrqQfUNszJM+QPEPyDClglNiigAABF0CPLEnABEzABBw5U+w1jwABz2OdUomACZiACThluNg0nQABpyPOLUDABEzABJw7ZeyeRYCAs8hO2peACZiACXjSuFEmmAABBwOdvR0BEzABE/DsuaNeDAECjuFYtgsBEzABE3DZAFL4FAECPoWvfjEBEzABE3D9JNLBEQIEfIRaozUETMAETMCNRpJWBggQ8ACsjp8SMAETMAF3nE16uk2AgG8zav2FPGB5wPKA5QG3HlKau0qAgBe/HPKA5QHLA5YHvPgY27Z9Al786OUBywOWBywPePExtm37BLz40csDrs1jlYeL/+gIicxjlgc8Sr/X9wTc6zyGu5EHLA9YHrA84OHBYUELAgTc4hiONyEPWB6wPGB5wMcniJWVBAi4kn5Abc+QPEPyDMkzpIBRYosCAgRcAD2yJAETMAETcORMsdc8AgQ8j3VKJQImYAIm4JThYtN0AgScjji3AAETMAETcO6UsXsWAQLOIjtpXwImYAIm4EnjRplgAgQcDHT2dgRMwARMwLPnjnoxBAg4hmPZLgRMwARMwGUDSOFTBAj4FL76xQRMwARMwPWTSAdHCBDwEWqN1hAwARMwATcaSVoZIEDAA7A6fkrABEzABNxxNunpNgECvs2o9RfygOUBywOWB9x6SGnuKgECXvxyyAOWBywPWB7w4mNs2/YJePGjlwcsD1gesDzgxcfYtu0T8OJHLw9YHu3oFY7Mo5WHXHv/5AGP3v5e3xNwr/MY7kYesDxgecDygIcHhwUtCBBwi2M43oQ8YHnA8oDlAR+fIFZWEiDgSvoBtT1D8gzJMyTPkAJGiS0KCBBwAfTIkgRMwARMwJEzxV7zCBDwPNYplQiYgAmYgFOGi03TCRBwOuLcAgRMwARMwLlTxu5ZBAg4i+ykfQmYgAmYgCeNG2WCCRBwMNDZ2xEwARMwAc+eO+rFECDgGI5luxAwARMwAZcNIIVPESDgU/jqFxMwARMwAddPIh0cIUDAR6g1WkPABEzABNxoJGllgAABD8Dq+CkBEzABE3DH2aSn2wQI+Daj1l/IA5YHLA9YHnDrIaW5qwQIePHLIQ9YHrA8YHnAi4+xbdsn4MWPXh6wPGB5wPKAFx9j27ZPwIsfvTzg2jxWebj4j46QyDxmecCj9Ht9T8C9zmO4G3nA8oDlAcsDHh4cFrQgQMAtjuF4E/KA5QHLA5YHfHyCWFlJgIAr6QfU9gzJMyTPkDxDChgltiggQMAF0CNLEjABEzABR84Ue80jQMDzWKdUImACJmACThkuNk0nQMDpiHMLEDABEzAB504Zu2cRIOAsspP2JWACJmACnjRulAkmQMDBQGdvR8AETMAEPHvuqBdDgIBjOJbtQsAETMAEXDaAFD5FgIBP4atfTMAETMAEXD+JdHCEAAEfodZoDQETMAETcKORpJUBAgQ8AKvjpwRMwARMwB1nk55uEyDg24xafyEPWB6wPGB5wK2HlOauEiDgxS+HPGB5wPKA5QEvPsa2bZ+AFz96ecDygOUBywNefIxt2z4BL3708oDl0Y5e4cg8WnnItfdPHvDo7e/1PQH3Oo/hbuQBywOWBywPeHhwWNCCAAG3OIbjTcgDlgcsD1ge8PEJYmUlAQKupB9Q2zMkz5A8Q/IMKWCU2KKAAAEXQI8sScAETMAEHDlT7DWPAAHPY51SiYAJmIAJOGW42DSdAAGnI84tQMAETMAEnDtl7J5FgICzyE7al4AJmIAJeNK4USaYAAEHA529HQETMAET8Oy5o14MAQKO4Vi2CwETMAETcNkAUvgUAQI+ha9+MQETMAETcP0k0sERAgR8hFqjNQRMwARMwI1GklYGCBDwAKyOnxIwARMwAXecTXq6TYCAbzNq/YU8YHnA8oDlAbceUpq7SoCAF78c8oDlAcsDlge8+Bjbtn0CXvzo5QHLA5YHLA948TG2bfsEvPjRywOuzWOVh4v/6AiJzGOWBzxKv9f3BNzrPIa7kQcsD1gesDzg4cFhQQsCBNziGI43IQ9YHrA8YHnAxyeIlZUECLiSfkBtz5A8Q/IMyTOkgFFiiwICBFwAPbIkARMwARNw5Eyx1zwCBDyPdUolAiZgAibglOFi03QCBJyOOLcAARMwARNw7pSxexYBAs4iO2lfAiZgAibgSeNGmWACBBwMdPZ2BEzABEzAs+eOejEECDiGY9kuBEzABEzAZQNI4VMECPgUvvrFBEzABEzA9ZNIB0cIEPARao3WEDABEzABNxpJWhkgQMADsDp+SsAETMAE3HE26ek2AQK+zaj1F/KA5QHLA5YH3HpIae4qAQJe/HLIA5YHLA9YHvDiY2zb9gl48aOXBywPWB6wPODFx9i27RPw4kcvD1ge7egVjsyjlYdce//kAY/e/l7fE3Cv8xjuRh6wPGB5wPKAhweHBS0IEHCLYzjehDxgecDygOUBH58gVlYSIOBK+gG1PUPyDMkzJM+QAkaJLQoIEHAB9MiSBEzABEzAkTPFXvMIEPA81imVCJiACZiAU4aLTdMJEHA64twCBEzABEzAuVPG7lkECDiL7KR9CZiACZiAJ40bZYIJEHAw0NnbETABEzABz5476sUQIOAYjmW7EDABEzABlw0ghU8RIOBT+OoXEzABEzAB108iHRwhQMBHqDVaQ8AETMAE3GgkaWWAAAEPwOr4KQETMAETcMfZpKfbBAj4NqPWX8gDlgcsD1gecOshpbmrBAh48cshD1gesDxgecCLj7Ft2yfgxY9eHrA8YHnA8oAXH2Pbtk/Aix+9PODaPFZ5uPiPjpDIPGZ5wKP0e31PwL3OY7gbecDygOUBywMeHhwWtCBAwC2O4XgT8oDlAcsDlgd8fIJYWUmAgCvpB9T2DMkzJM+QPEMKGCW2KCBAwAXQI0sSMAETMAFHzhR7zSNAwPNYp1QiYAImYAJOGS42TSdAwOmIcwsQMAETMAHnThm7ZxEg4Cyyk/YlYAImYAKeNG6UCSZAwMFAZ29HwARMwAQ8e+6oF0OAgGM4lu1CwARMwARcNoAUPkWAgE/hq19MwARMwARcP4l0cIQAAR+h1mgNARMwARNwo5GklQECBDwAq+OnBEzABEzAHWeTnm4TIODbjFp/IQ9YHrA8YHnArYeU5q4SIODFL4c8YHnA8oDlAS8+xrZtn4AXP3p5wPKA5QHLA158jG3bPgEvfvTygOXRjl7hyDxaeci1908e8Ojt7/U9Afc6j+Fu5AHLA5YHLA94eHBY0IIAAbc4huNNyAOWBywPWB7w8QliZSUBAq6kH1DbMyTPkDxD8gwpYJTYooAAARdAjyxJwARMwAQcOVPsNY8AAc9jnVKJgAmYgAk4ZbjYNJ0AAacjzi1AwARMwAScO2XsnkWAgLPITtqXgAmYgAl40rhRJpgAAQcDnb0dARMwARPw7LmjXgwBAo7hWLYLARMwARNw2QBS+BQBAj6Fr34xARMwARNw/STSwRECBHyEWqM1BEzABEzAjUaSVgYIEPAArI6fEjABEzABd5xNerpNgIBvM2r9hTxgecDygOUBtx5SmrtKgIAXvxzygOUBywOWB7z4GNu2fQJe/OjlAcsDlgcsD3jxMbZt+wS8+NF/8cUXLy7/BXT5/wMe+Of3d9999y/ffvvtH9bj5/4MEyj/8/Pw8PDvx8fH34c7t6AFAQJucQyaQAABBBDYjQAB73bifi8CCCCAQAsCBNziGDSBAAIIILAbAQLe7cT9XgQQQACBFgQIuMUxaAIBBBBAYDcCBLzbifu9CCCAAAItCBBwi2PQBAIIIIDAbgQIeLcT93sRQAABBFoQIOAWx6AJBBBAAIHdCBDwbifu9yKAAAIItCBAwC2OQRMIIIAAArsRIODdTtzvRQABBBBoQYCAWxyDJhBAAAEEdiNAwLuduN+LAAIIINCCAAG3OAZNIIAAAgjsRoCAdztxvxcBBBBAoAUBAm5xDJpAAAEEENiNAAHvduJ+LwIIIIBACwIE3OIYNIEAAgggsBsBAt7txP1eBBBAAIEWBAi4xTFoAgEEEEBgNwIEvNuJ+70IIIAAAi0IEHCLY9AEAggggMBuBAh4txP3exFAAAEEWhAg4BbHoAkEEEAAgd0IEPBuJ+73IoAAAgi0IEDALY5BEwgggAACuxEg4N1O3O9FAAEEEGhBgIBbHIMmEEAAAQR2I0DAu52434sAAggg0IIAAbc4Bk0ggAACCOxGgIB3O3G/FwEEEECgBQECbnEMmkAAAQQQ2I0AAe924n4vAggggEALAgTc4hg0gQACCCCwGwEC3u3E/V4EEEAAgRYECLjFMWgCAQQQQGA3AgS824n7vQgggAACLQgQcItj0AQCCCCAwG4ECHi3E/d7EUAAAQRaECDgFsegCQQQQACB3QgQ8G4n7vcigAACCLQgQMAtjkETCCCAAAK7ESDg3U7c70UAAQQQaEGAgFscgyYQQAABBHYjQMC7nbjfiwACCCDQggABtzgGTSCAAAII7EaAgHc7cb8XAQQQQKAFAQJucQyaQAABBBDYjQAB73bifi8CCCCAQAsCBNziGDSBAAIIILAbgf8ASXCGsr+9/hwAAAAASUVORK5CYII=01824161640040009,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,90,1,1,0,1,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,1,0,0,0,1,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,1,0,0,0,1,1,0,1,0,0,0,1,1,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0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