data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAKAAAAB4CAYAAAB1ovlvAAARdUlEQVR4Xu2dB1QWxxbHL0VULBG7WGmiosaW5rMkKlZs2BULYtD4LLHEnti7xl5jL1EQLAgKIqJYYu8VO1GUYBd7e+cumeEbinwrs/Dt8+45OYQwe+fuf3/578zu3VmzDx8+fADaSIEMUsCMAMwg5albRQEO4IsXL+Dy5ctgY2MDaIpmZma6+nn69Glwc3Oj06ozBTiAeAJz5cqVavoPHjyA3Llzw+bNm6F8+fJgb2+v7MOgTTWAhg1y5Mih/A9Em34U4ABGRUVxiG7evAn4T7169SA4OJi7obm5ORQrVgzCw8MV8CpXrgx58uRR/p43b17AGBnpnBEREeDh4aEf9SnThEswAsc2a2trCAkJgU6dOsGqVaugePHiyp9u3LgB+/fvh9GjR0NoaKgCoIuLC7x58wbGjh0Lnp6eybphYnfU6nd/f3/o378/nVYdKcAdEAHU49jP0HH9/PxgwIABOpKfUuUAorux7e+QP+D05kVgbmbaAlVwLgaF+m7kSaIDEoCmfc4SZ5csgJlmVofMWbNBdFsfsMmd2+Sc8eHDh2C7rjVkef8c7v0UwfNDBxw4cKC+zsBnni0H8Pr161wKm/k1IMojEHL9O6PES7NvcxdoWNgKUjPFTNlzgdWkcHj79q0SD2/tlC5dWpmcsE3GGPDx48dgv9YNYnvsERyQANQX0QKADAwE8Env/TBy5EgYP368Msl43qsiWBjQZ1WkJFiXrw6Pti1NcsSZ55xIFkDZY8zc86opALK46IC//PKLvs7AZ54tB/DatWtcitwLasLjXvsgOjpaud2CN6lf9q4kjAmLTgiEp/s2JQug1ezj8O7dO+6ApUqV0uT2TJ751eGf7rsFByQA9UW0ACBzEgTw0X/3gjLWsrVNFkCrIs5g/WV1eBS0JMkRJwcga8RmrTJ+z7ughgKgoQMOGjRIX2fgM8+WA3j16lUuRZ6F3ysAGl4yX/epDAbDuBRls8ieC8zHh8H79++5Azo7O2vigAhgjHe44IAEoL6IFgBkwCUHYOHCthC62R9SK51xcikPVtbZNAEu8RiSAWjogIMHD9bXGfjMs+UAXrlyhUuRd9EP8LBnwu0NPMHXvStCUWuL1OUyMwPLGUcU92Sz4JIlS2oCZL6FNeHuj7sEByQAUz9FptRCAJA5CQL44Kc9ULhwYYiNjYXXr1/D675VhElIsSkhcHdmTyg+9wBcdi8gHJPlzKNJANTioPMv+l4B0NABhwwZokVXFFMjBTiAeL+ObfkW11IADAoKglatWsGzZ8/gzc9fcQDtl5yCx+E+8DTcB2yHrYQbvaoJ6VnMOKL8Pm3aNGjatCk4OTlp4oAI4J1uYRxAfBJCAGpEikZhBQCZkyCA93vs5qVNOBs2BFDIBWcmiYqqGYDsEowAarEVWPyDACDeBxw6dKgWXVFMjRTgAEZGRvIu8v9RG+51j59d8of9YxrBu0exqaaR080b4mp1A8MxpaOjI99P5m2Ygn/UgmivncIYkABM9RSZVAMBQOaAhgCybHdN6AP3jkek+iiuQWdvyN64Z4oAyjx6BqDhGHDYsGEyu6BYGivAAbx06RLvqsCSOhDrvQvmzp0LvXv3VsZYL3/+GjIbPov7SGJm0w8BFq+yS7CDg4MmDlhoSW243TVUGAMSgBoTIzm8ACBzEgbgsWPHwN3dXamOftf/G2EWXGTMRog7GJTso7iPASgz/8QA4hhw+PDhMrugWBorwAG8ePEi76rgUlf458cwxQGx0jkmJgbeD/hWALBkwAN4HXURbvSqmjTFaQfBwsJCeY6MldXsvRHZx2K7tA7c8twhjAEJQNkqaxtPAJA5IAOQdY3//cPA74wrUMW36aYcAEtLS34JtrOzk16OhZMZBqDhGHDEiBHaKkbRpSrAAbxw4QIPXGhZXYjpljC7xD84OjgorpbaFvfsGdy+fTu1ZlL+XniZK/zdJUS4Ef3rr79KiU1B0kcBAUDmJAxAw2evW9tXMbog9d3IbZApUybugCVKlNDkRjQBmD6QaNkLB/D8+fO8H9vl9eCuVyj89ddf4OrqCk+fPgUY9B+hINW6Qk14/+wJvLx8Ikl+7ybvBysrKw4gvlUnuyIa4xVZXheiOgcLs2ByQC1xkR9bAJA5HgNwyZIl0LNnT3j16hWYDfqPMAbM/l1jeHvvlioAZVdEJwYQZ8G//fabfJUoomYKcADPnTvHOym8oj7c6Ro/uyxUqJBSGW0+uJrRAL6dtA8yZ87MHRBfZtfCAYuuqAc3O20XxoD4GgFt+lFAAJA5FAPQ0LEsBlczuiD11YjAZAGU7YAEoH5ASylTDuDZs2d5myIrG0C0Z8LsEsFxcnI0qiDVvrQLfDC31GTSkRjgYivrw42O24QxIDmgvqAUAGQnGAG83SVYORJWPHC3b1WjC1LfTIiALFmy8Etw0aJFuSoyixGKr2ogAIhjwFGjRunrDHzm2XIAz5w5w52k6KqGCoArVqxQVhq4d+8eWA6twceAuVv1UyYf1uVrwod3byBTHlu4O7sXl/L1hAjImjUrB7BIkSKaOCICeN0jSHBAAlBfRKcI4K3O25Vl2PAF8ydPnnAAi04OhjtTvaBg37nw/FQEZKtUC15EHoN7KxKchwHIClIRQLZJdcDVDeGGAYDogLhwEm36UUBYH5ClXWx1I2AA4i2YuLg4yDSsZsIsmBWhJv75b4BX4/cArrCFG1ZaY2m/Fsu2FV/dEK53CBQckADUD3zKEI8t0YsLVLIxIAL4d6dtwpFYT21pXEFqI2+IrdpBeByHAGqxlVjTSAAQHXDMmDFadEUxNVKAA3jq1CkOYPE1bhDVMUiYhBycOcSogtT6nX4Eizqeyr1DtuHL7Vpcgu3WusG19lsFByQANSJFo7AfBXDhwoXQo0ePeBCH1jS6IPXluN2QLVs2fgk2BFDmcSQGEB0Qy8do048CHMCTJ0/yrEusbQw3PQLB19cX+vbtC3fu3IHMI34QnoQU6DMHYmb3wdWhkxzti7HhkD17dg4gPk3RYrP/szFcbRcgOCABqIXS2sUUAGRjQAbgmjVrAOvrcOm2LL/WEgC0Hb5WySp6fIck2T0fswtwwXBWkFqwYEFNHsUlBhAdcNy4cdqpRZGlK8ABPHHiBHcSuz+bwI0OW4XOEgOYYiZmZvB8dJgCIG44C0YAtdgc1jWBK223CM+CcTk52vSjgFEAojOWK1uWVzl/7PAeP3kCuNSbFsUHrF/m1ASgfkBLKVMO4PHjx7mT2K9rCtfbBwj77PSqbnRBatwgf8iZMyd3wAIFxKU7ZMnmuL4pXG6zWRgDkgPKUjd94nwUwICAAGVpjpcvX0LWkXWEglQnv2i4O6sXPN2bsEg4Szlu1E744osvOID58+fX5EZ0YgBxDDhhwoT0UY56kaIABxBfweSXtvXN4Fq7LeDj4wMdO3ZUClKzjXIVJiFYEZ3FsRI88JuRJJGnI0P5V5dwDJgvXz5NLslOPs0gsvUmYQw4ceJEKcJQkPRR4KMAYik+TiYQzMQA4muZcYe2JzsLTglA2fWABGD6QKJlLxzAo0fjl1TDyYOjT3O42jZhbIX/PcfoukYXpD7s78sXNkIHxM94afEsuKRvc7jUaqMwBiQH1BIX+bFTBPBKm01KbzKrV2THc97gLgCIY8BJkybJV4kiaqYAB/DIkfhVTRE4J193QABlXzJlx0MAL7b0F8aAkydP1kwsCixfAQ7g4cOHueMhgJdbx89uTdkBS/m14ABirrhAJQEoHxItIwoAMocquaGFAqBsx5IdDwG80MJPcMApU6ZoqRfFlqxAigBGtvKX3JX8cKX9WxKA8mVN14gcwEOHDnEncfZrCQigbMeSHQ8BPO++QXDAqVOnpquA1FnaFOAAHjx4kI/5EMBLLf3SFjkd9i6zsRUHkI0BCcB0EF5iFwKAzKFK+beCiy02SOxGm1Aum1rDuea+ggPii1C06UcBAlA/5+r/MlMOIK6ExRyw9MbWcMHd1+QPuOzmNnC2mY/ggNOnT5eSd5UqVaBfv37QoUPSglspHVCQ+CEfeyvuwIEDfAyYGEAGJtPMVH43BJCNAWUBiPGaN2/OMcEaR3zSotU3Tz5XHgUAGVhlNrWB8819TF6Tclvawpmm6wUH/P3336XmbQghC4xfAMAKocDAQKl9fY7BOID79+/nDsgAlH3bRHY8QwCZAxKA+sJYAJAB4rK5LZxrtt7kj6R8QDs43WSd4IAzZiStT/zUA6FL8KcqZ/x+HMB9+/ZxB2QAynYs2fEMAWQOKAtAmoQYD1FaWgoAMkDKbmkHZ5smOItscGTF+3JrezjV+E/BAWfOnJkWPWjfdFaAA7h3717ugHoEkDkgAZjOBKWxOwFA5kzlAtrDmSYJziLLsWTHqRDYAU66rRUccNasWWmUhHZPTwU4gBEREbzf8ls76AbAE43W8LyxHpAATE980t6XACBzKATwdOMEZ5HtXLLiVQzyAASQxcMbxbNnz067KhQh3RTgAO7Zs4ePARHAU24JzpJu2ajsqNK2jhxANgYkAFWKmMHNBQCZk3wZ6KEAKMuptIqDAB5vuFpwwDlz5mSwpNS9GgU4gLt37+b7VQjqCCcbrVYTJ0PaVt7eCY41WCWMAQnADDkVn9ypACBzKgagVs4lKy4D0HAMiN84pk0/CqQI4ImGCc5iqodTJbiz4oAEoKmeodTz4gCGh4fzE1lxWyc43mAln5TgCWabKb2m+VVIFzhaf6UA4Lx581I/amphMgpwAHft2sWBMwTQZDJNJhFDANksmAA05TOWNDcBQHYpq7S9Mxyrv8Lkj+TrHZ5wpN4KwQHnz59v8nlTggkKcADDwsK4AyYG0FQqoFnaLB9DAJkDEoD6wlsAkJ3YysFd4Gi95SZ/JN+EdoXDdZcLDrhgwQKTz5sSTMYBd+7cyR0wMYCm4oCrV6+GVaviZ+ehoaFgCCBzQAJQX3hzB0QAGWhVQjzhSN1lJnkkCCGu2orbtzu94JDrMsEB8eM6tOlHAQ4gOgpueJuFAWhnZ6f8jq9s4kLjsm4gpzWOq6ur4oCGADIHJAD1A5/CG3stE08oA+OrHV3hsOtScHBwAPzUart27fgnu1I7vMjISOjTpw8EBwdD/fr1lZ/Dhw9XvhXi4uICuHoVLnzu5eWlhCpTpgycP38+tbD873Xr1gUsu8dY34V1g4N1lgoOuGjRIqNjUcOMV4ADuGPHDp7N16FeHED82rm3tze0b9/eKAfEJXk9PT2Vb8XdunULYmJilO+G2NjYKK7l7OzMP9969uxZqFGjBty/f9+oJXwZfPjCOOZbNawbHKi9hOeN9YAEYMZDpSYDAUB+eyPUC2a8bwJnrt8BDw8P5du/aVnjuUGDBoBf47x9+/Ynx0E3xVcu+/fvr/x8En0NBloEKAAaPopbvHixmuOnthmsAAcwJCSEjwHRAS3NzWDQw3pQo1Zt5ZMLaQEwrWM+w/0fPXoEe3aFwVSb+HwZgPjvFhYWUKdOnQyWlLpXowAHEG9fsElH9TMT4X3sNTVxMqSteT572FtuqOKAN2/ehO7du2dIHtTppyvAAcQQOF7DS1hUVNSnR8yAPdu2bQu1a9fOgJ6py7QqIACY1mC0PymgVgECUK1i1F6qAgSgVDkpmFoFCEC1ilF7qQoQgFLlpGBqFSAA1SpG7aUqQABKlZOCqVWAAFSrGLWXqgABKFVOCqZWAQJQrWLUXqoCBKBUOSmYWgUIQLWKUXupChCAUuWkYGoVIADVKkbtpSpAAEqVk4KpVYAAVKsYtZeqAAEoVU4KplYBAlCtYtReqgIEoFQ5KZhaBQhAtYpRe6kKEIBS5aRgahUgANUqRu2lKkAASpWTgqlVgABUqxi1l6oAAShVTgqmVgECUK1i1F6qAgSgVDkpmFoFCEC1ilF7qQoQgFLlpGBqFSAA1SpG7aUqQABKlZOCqVWAAFSrGLWXqgABKFVOCqZWgf8BsUK6mGqJQREAAAAASUVORK5CYII=data:image/png;base64,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 any number of input lists, and create a new list
containing the items of the input lists. So
APPEND [A B] [C D]
where the [...] are lists reports the list
[A B C D]
not [[A B] [C D]].ca:concatena _
11111Reports a new list containing the items of the input list, but in the opposite order.ca:capgira _
1inputresultReports 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 _
1Reports 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#2The 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 _ _
11This block applies the given function to each item of the given list, like the primitive MAP block, but with two differences:
1. The # variable provided will contain the item number of the item currently being used in the given function: 1 for item 1, and so on. You read the variable in your function; don't set it.
2. You can provide more than one input list. If so, the lengths of all the lists should be the same, and the function you supply must expect as many inputs as you have lists (i.e., that many empty input slots in the function).ca:_ mapeja _ sobre _
#11datacountmapmany##1#1data listscountThis block makes a new list containing selected items from the given list, like the primitive KEEP block.
What's different is that it provides the # variable for use in your predicate function. It will contain the item number (in the original list) of the item being examined by the predicate.ca:_ manté els elements on _ de _
#1datacount1This 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 _ _
truede:fange _ _
ca:agafa _ _
es:atrapar _ _
fr:attrape _ _
pt:captura _ _
cont3de:wirf _
ca:llança _
es:lanzar _
fr:lance _
pt:lança _
catchtagde:fange _ _
ca:agafa _ _
es:atrapar _ _
fr:attrape _ _
pt:captura _ _
contde:wirf _ _
ca:llança _ _
es:lanzar _ _
fr:lance _ _
pt:lança _ _
catchtagde:falls _ dann _ und pause $pause-1-255-220-0
ca:si _ fes _ i atura-ho tot $pause-1-255-220-0
es:si _ haz _ y páralo todo $pause-1-255-220-0
fr:si _ faire _ et mettre tout en pause $pause-1-255-220-0
pt:se _ , então _ e faz pausa em tudo $pause-1-255-220-0
de:ignoriere _
ca:ignora _
es:ignorar _
fr:ignore _
pt:ignora _
Call f(f(f(...(f(x))))) n times where the three input slots are n, f, and x from left to right. The # variable can be used inside f to represent how many times f has been called.pt:o resultado de _ invocações em cascata de _ com argumento inicial _ _
Call f(f(f(...(f(x))))) until condition is true, where the three input slots are condition, f, and x from left to right. The # variable can be used inside f or condition to indicate how many times f has been called.pt:o resultado da invocação em cascata até que _ de _ com argumento inicial _ _
Returns the function f(g(x)) where f and g are the two inputs.pt:a composição de _ com _
Like the built-in REPEAT UNTIL block, except that the ending condition is not tested until the script has been run the first time. So the script is run at least once.pt:repete _ até que _ $loop-0.7
Run the script repeatedly, as long as the given condition is true. Runs the script at least once before testing the condition.pt:repete _ enquanto _ $loop-0.7
Runs the script repeatedly, as long as the condition is true. Tests the condition before the first time the script is run. Like the built in REPEAT UNTIL except that in this block the condition must be true, not false.pt:enquanto _ , repete _ $loop-0.7
Runs the script the specified number of times, like the built-in REPEAT block, but this one provides the # variable that can be used inside the script. Try
REPEAT (200)
MOVE (#) STEPS
RIGHT 92
with the pen down.pt:repete _ vezes _ _ $loop-0.7
pt:para _ de _ com passo _ a _ _ $loop-0.7
1110Provides LOOP as a function of one input that runs
the body of the LET with A set to the function input,
so the body can run itself recursively.
See COPY block in Variables for an example of use.pt:tendo _ o valor inicial _ , executa _ definido como _
new value4,-41,4,1,-586,6,2