data:image/png;base64,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

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

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 _ _ 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.

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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.

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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X9Xjpm094F7zg/zOelyXaLyRjNb0nu3++l/7c61sJi/t85xT9trVI86ORuas5c4kaAAAECBAgcRKCKwtzMuDDMb84Rv9T8/z17ie/a6cRHc46Tc8SVc720/shv7FrKZ4/HK2e52HNBi7f0e+lphyvtS3M+Yvswvhkp5pqtsf1eavZBb3ibXDZ67XR4KeK3ZnvpLYdrltXnGSzlpzb7uPf3vHnlTCMrp1hL7fmDm13dr9/oVGuHe7ZJfl/IzVUHI2K2GzMppeZS3dGe/WIUzRkkmtP3XXndd+LkO9954/MWr59rYZTfl3N75L85Wv7Q2SNSW7xXb83R4F1LcVXOcWxEjPq9tLrveO0+N7IwN7/ZuEfzVpzpxh2PTytbhA71NljMd4sU71mbN2L3XC/d91CfZzP3n1wmfa0cR8Tr+730q1NWzYfSa/Zs12i2zgwv68ZR05c338wa7kOAAAECBG6tAtUU5uk9upHjw2unIUvx2n43/dr6gHLOOxZG0VxlbWeKWO6M4/QTd6TmAg373AY53y5fG3numB9dla05w8IREenuk2K3/kGDxdycNuzuTe080MUmbu7Tyu3vjbqVe5jnF/MLx8vx0VOO3PhS45cN8306Ec0R5mZLxj5HZQfD3BTdlS/bpXhJv7vvtoj2NIHXx73mdqa/Xn2N687qsO9FTYa52bPb7N1tbu2ZINb73KjCvJhfFClWt278Yb+XVvYGb3Brnn9uZu8zg0zNf7NduKRZczDMzbaQ9sNlSnHmbPdH++8vG+and1av9rfuDCu31n/5ed0ECBAgQGCzAhsW5hTxjpxiry9P7fWEyxGXzcTvrB6har4o9a+uXru4RHvXI4+Or0WOfnNxjet/2J5Hee12p+PiB/v59fquyHufeSFH7LMvdfWJBtPFJsVVkeO81I3/2Zzh4htX5mOOPjbOyOP2qGxzJcBn9nvpDauPXRjmX5qcMeAtzYU0TurGZ1NKy80FWNIwmi8Unt/eN8XH95wbeJ8itjZDgSv9bRTuVhbmhWFujx43V8rrRLxr9yg+eMedaXBlzqcMR/GY5rLkEXG7Zq4c8QdzvfSL0zN+94b8kG3bovny5MpV5povWi7HK+eOSJdcnvNReTnOWl6OV6XY+8Il8z/IJ6Qd0WyxaC8nnSNed8N1ccGdjovrmrN15BR/mCJm2phynDM7s3KxjunbjSnMV+d8m92j9up4t52Uz/eNx+25ur/WnClkMIzTUyceETl+JVLs7HdT+9r3WftmPA9zs/bU5dIb6e8uj+LxpxyZPrWwmB+TO3Fh5Gj3gS8vx5m1fJl1s/+icj8CBAgQIFBSYMPCvKmBFuPE1S86DRbz4/dcxKG5otimbuNxPPrkHft+kW6wmF8daeWLbZPbt/q99A/296Ttac6W4gNTV6FbvWuzHWD9r+efMV2Yp8//PHlQs+fzhkk5W7009nIsx0P7Rxzgohy3osJ80HBzfKczivtvdJ7jwSg3V/J71brnWFrdRtL++QaXxl4Y5qc1JXzqcftevjzFh/rd9HMbzXdjCvOkfDYfkj68Z+a2rE9uy81fmL0u4JLie7UU5sl5qT+5upd8P3kd8Ij5QTN2BwIECBAgcCsUWCvM84v5lSnF8zZrsHRD3Pb2x6bmohExWMyPixTv3uxjoxOP7G/f90IPk8sOf2H1eXKKF811D3yu2KY07xrGc/PKGQI2+oLWdRHRnLbutf2Z9Derzz25XPPvppUjpyvn0927lV3USfGc6V9rb1jIhvkjKeKsQ5l5006HcMf5xfzdlOLkg20hOYSnXLtr+4GoE09JOc5aOxPH3k/UfEB5w1I3fuP2aeU9saHVYn5sJ8Vrc8Q+H4JSxDdiHM+e3eCD1MJSflLO8frI7Rkzpm/NubffNNuNZ06fcnD6DpfnfOflUVzc/tkhXqxj12K+5zi15y1+6AavJ6eILzVlfvqD2PT9do3yA8e5vST46u2A23tuTDbrH3PpNfn47pHx1rxydo+1v98pYmkc8YZ+N85vfpNyONbyHAQIECBA4NYisO4aHz++L7v9Vfnu+JnOtji9KXWpE1eNx3FxvxsXbbT9Y/WVNl/w6yzGg6ITp3aaX/3nuDxHfGV/+1J/fIVu+uTNF/i6N8R9OtviTinFbXLED9Iovr77yPjy6lkxNrNKc9S3k+IBOeLInOP7nV58cTal9hSC+7s1+c4vxkM7nbhLc5+U48pOLz5wYkrNB6ItvbV74IdxVvOaO82OhnFckkbxudKnkjvQix7ckO8Y29ovgu7MOa4+ohcfPC6l728plCcnQIAAAQK3UIFbTGG+hebjZREgQIAAAQIECBQWUJgLB2B5AgQIECBAgACBugUU5rrzMR0BAgQIECBAgEBhAYW5cACWJ0CAAAECBAgQqFtAYa47H9MRIECAAAECBAgUFlCYCwdgeQIECBAgQIAAgboFFOa68zEdAQIECBAgQIBAYQGFuXAAlidAgAABAgQIEKhbQGGuOx/TESBAgAABAgQIFBZQmAsHYHkCBAgQIECAAIG6BRTmuvMxHQECBAgQIECAQGEBhblwAJYnQIAAAQIECBCoW0Bhrjsf0xEgQIAAAQIECBQWUJgLB2B5AgQIECBAgACBugUU5rrzMR0BAgQIECBAgEBhAYW5cACWJ0CAAAECBAgQqFtAYa47H9MRIECAAAECBAgUFlCYCwdgeQIECBAgQIAAgboFFOa68zEdAQIECBAgQIBAYQGFuXAAlidAgAABAgQIEKhbQGGuOx/TESBAgAABAgQIFBZQmAsHYHkCBAgQIECAAIG6BRTmuvMxHQECBAgQIECAQGEBhblwAJYnQIAAAQIECBCoW0Bhrjsf0xEgQIAAAQIECBQWUJgLB2B5AgQIECBAgACBugUU5rrzMR0BAgQIECBAgEBhAYW5cACWJ0CAAAECBAgQqFtAYa47H9MRIECAAAECBAgUFlCYCwdgeQIECBAgQIAAgboFFOa68zEdAQIECBAgQIBAYQGFuXAAlidAgAABAgQIEKhbQGGuOx/TESBAgAABAgQIFBZQmAsHYHkCBAgQIECAAIG6BRTmuvMxHQECBAgQIECAQGEBhblwAJYnQIAAAQIECBCoW0Bhrjsf0xEgQIAAAQIECBQWUJgLB2B5AgQIECBAgACBugUU5rrzMR0BAgQIECBAgEBhAYW5cACWJ0CAAAECBAgQqFtAYa47H9MRIECAAAECBAgUFlCYCwdgeQIECBAgQIAAgboFFOa68zEdAQIECBAgQIBAYQGFuXAAlidAgAABAgQIEKhbQGGuOx/TESBAgAABAgQIFBZQmAsHYHkCBAgQIECAAIG6BRTmuvMxHQECBAgQIECAQGEBhblwAJYnQIAAAQIECBCoW0Bhrjsf0xEgQIAAAQIECBQWUJgLB2B5AgQIECBAgACBugUU5rrzMR0BAgQIECBAgEBhAYW5cACWJ0CAAAECBAgQqFtAYa47H9MRIECAAAECBAgUFlCYCwdgeQIECBAgQIAAgboFFOa68zEdAQIECBAgQIBAYQGFuXAAlidAgAABAgQIEKhbQGGuOx/TESBAgAABAgQIFBZQmAsHYHkCBAgQIECAAIG6BRTmuvMxHQECBAgQIECAQGEBhblwAJYnQIAAAQIECBCoW0Bhrjsf0xEgQIAAAQIECBQWUJgLB2B5AgQIECBAgACBugUU5rrzMR0BAgQIECBAgEBhAYW5cACWJ0CAAAECBAgQqFtAYa47H9MRIECAAAECBAgUFlCYCwdgeQIECBAgQIAAgboFFOa68zEdAQIECBAgQIBAYQGFuXAAlidAgAABAgQIEKhbQGGuOx/TESBAgAABAgQIFBZQmAsHYHkCBAgQIECAAIG6BRTmuvMxHQECBAgQIECAQGEBhblwAJYnQIAAAQIECBCoW0Bhrjsf0xEgQIAAAQIECBQWUJgLB2B5AgQIECBAgACBugUU5rrzMR0BAgQIECBAgEBhAYW5cACWJ0CAAAECBAgQqFtAYa47H9MRIECAAAECBAgUFlCYCwdgeQIECBAgQIAAgboFFOa68zEdAQIECBAgQIBAYQGFuXAAlidAgAABAgQIEKhbQGGuOx/TESBAgAABAgQIFBZQmAsHYHkCBAgQIECAAIG6BRTmuvMxHQECBAgQIECAQGEBhblwAJYnQIAAAQIECBCoW0Bhrjsf0xEgQIAAAQIECBQWUJgLB2B5AgQIECBAgACBugUU5rrzMR0BAgQIECBAgEBhAYW5cACWJ0CAAAECBAgQqFtAYa47H9MRIECAAAECBAgUFlCYCwdgeQIECBAgQIAAgboFFOa68zEdAQIECBAgQIBAYQGFuXAAlidAgAABAgQIEKhbQGGuOx/TESBAgAABAgQIFBZQmAsHYHkCBAgQIECAAIG6BRTmuvMxHQECBAgQIECAQGEBhblwAJYnQIAAAQIECBCoW0Bhrjsf0xEgQIAAAQIECBQWUJgLB2B5AgQIECBAgACBugUU5rrzMR0BAgQIECBAgEBhAYW5cACWJ0CAAAECBAgQqFtAYa47H9MRIECAAAECBAgUFlCYCwdgeQIECBAgQIAAgboFFOa68zEdAQIECBAgQIBAYQGFuXAAlidAgAABAgQIEKhbQGGuOx/TESBAgAABAgQIFBZQmAsHYHkCBAgQIECAAIG6BRTmuvMxHQECBAgQIECAQGEBhblwAJYnQIAAAQIECBCoW0Bhrjsf0xEgQIAAAQIECBQWUJgLB2B5AgQIECBAgACBugUU5rrzMR0BAgQIECBAgEBhAYW5cACWJ0CAAAECBAgQqFtAYa47H9MRIECAAAECBAgUFlCYCwdgeQIECBAgQIAAgboFFOa68zEdAQIECBAgQIBAYQGFuXAAlidAgAABAgQIEKhbQGGuOx/TESBAgAABAgQIFBZQmAsHYHkCBAgQIECAAIG6BRTmuvMxHQECBAgQIECAQGEBhblwAJYnQIAAAQIECBCoW0Bhrjsf0xEgQIAAAQIECBQWUJgLB2B5AgQIECBAgACBugUU5rrzMR0BAgQIECBAgEBhAYW5cACWJ0CAAAECBAgQqFtAYa47H9MRIECAAAECBAgUFlCYCwdgeQIECBAgQIAAgboFFOa68zEdAQIECBAgQIBAYQGFuXAAlidAgAABAgQIEKhbQGGuOx/TESBAgAABAgQIFBZQmAsHYHkCBAgQIECAAIG6BRTmuvMxHQECBAgQIECAQGEBhblwAJYnQIAAAQIECBCoW0Bhrjsf0xEgQIAAAQIECBQWUJgLB2B5AgQIECBAgACBugUU5rrzMR0BAgQIECBAgEBhAYW5cACWJ0CAAAECBAgQqFtAYa47H9MRIECAAAECBAgUFlCYCwdgeQIECBAgQIAAgboFFOa68zEdAQIECBAgQIBAYQGFuXAAlidAgAABAgQIEKhbQGGuOx/TESBAgAABAgQIFBZQmAsHYHkCBAgQIECAAIG6BRTmuvMxHQECBAgQIECAQGEBhblwAJYnQIAAAQIECBCoW0Bhrjsf0xEgQIAAAQIECBQWUJgLB2B5AgQIECBAgACBugUU5rrzMR0BAgQIECBAgEBhAYW5cACWJ0CAAAECBAgQqFtAYa47H9MRIECAAAECBAgUFlCYCwdgeQIECBAgQIAAgboFFOa68zEdAQIECBAgQIBAYQGFuXAAlidAgAABAgQIEKhbQGGuOx/TESBAgAABAgQIFBZQmAsHYHkCBAgQIECAAIG6BRTmuvMxHQECBAgQIECAQGEBhblwAJYnQIAAAQIECBCoW0Bhrjsf0xEgQIAAAQIECBQWUJgLB2B5AgQIECBAgACBugUU5rrzMR0BAgQIECBAgEBhAYW5cACWJ0CAAAECBAgQqFtAYa47H9MRIECAAAECBAgUFlCYCwdgeQIECBAgQIAAgboFFOa68zEdAQIECBAgQIBAYQGFuXAAlidAgAABAgQIEKhbQGGuOx/TESBAgAABAgQIFBZQmAsHYHkCBAgQIECAAIENvMjPAAALBklEQVS6BRTmuvMxHQECBAgQIECAQGEBhblwAJYnQIAAAQIECBCoW0Bhrjsf0xEgQIAAAQIECBQWUJgLB2B5AgQIECBAgACBugUU5rrzMR0BAgQIECBAgEBhAYW5cACWJ0CAAAECBAgQqFtAYa47H9MRIECAAAECBAgUFlCYCwdgeQIECBAgQIAAgboFFOa68zEdAQIECBAgQIBAYQGFuXAAlidAgAABAgQIEKhbQGGuOx/TESBAgAABAgQIFBZQmAsHYHkCBAgQIECAAIG6BRTmuvMxHQECBAgQIECAQGEBhblwAJYnQIAAAQIECBCoW0Bhrjsf0xEgQIAAAQIECBQWUJgLB2B5AgQIECBAgACBugUU5rrzMR0BAgQIECBAgEBhAYW5cACWJ0CAAAECBAgQqFtAYa47H9MRIECAAAECBAgUFlCYCwdgeQIECBAgQIAAgboFFOa68zEdAQIECBAgQIBAYQGFuXAAlidAgAABAgQIEKhbQGGuOx/TESBAgAABAgQIFBZQmAsHYHkCBAgQIECAAIG6BRTmuvMxHQECBAgQIECAQGEBhblwAJYnQIAAAQIECBCoW0Bhrjsf0xEgQIAAAQIECBQWUJgLB2B5AgQIECBAgACBugUU5rrzMR0BAgQIECBAgEBhAYW5cACWJ0CAAAECBAgQqFtAYa47H9MRIECAAAECBAgUFlCYCwdgeQIECBAgQIAAgboFFOa68zEdAQIECBAgQIBAYQGFuXAAlidAgAABAgQIEKhbQGGuOx/TESBAgAABAgQIFBZQmAsHYHkCBAgQIECAAIG6BRTmuvMxHQECBAgQIECAQGEBhblwAJYnQIAAAQIECBCoW0Bhrjsf0xEgQIAAAQIECBQWUJgLB2B5AgQIECBAgACBugUU5rrzMR0BAgQIECBAgEBhAYW5cACWJ0CAAAECBAgQqFtAYa47H9MRIECAAAECBAgUFlCYCwdgeQIECBAgQIAAgboFFOa68zEdAQIECBAgQIBAYQGFuXAAlidAgAABAgQIEKhbQGGuOx/TESBAgAABAgQIFBZQmAsHYHkCBAgQIECAAIG6BRTmuvMxHQECBAgQIECAQGEBhblwAJYnQIAAAQIECBCoW0Bhrjsf0xEgQIAAAQIECBQWUJgLB2B5AgQIECBAgACBugUU5rrzMR0BAgQIECBAgEBhAYW5cACWJ0CAAAECBAgQqFtAYa47H9MRIECAAAECBAgUFlCYCwdgeQIECBAgQIAAgboFFOa68zEdAQIECBAgQIBAYQGFuXAAlidAgAABAgQIEKhbQGGuOx/TESBAgAABAgQIFBZQmAsHYHkCBAgQIECAAIG6BRTmuvMxHQECBAgQIECAQGEBhblwAJYnQIAAAQIECBCoW0Bhrjsf0xEgQIAAAQIECBQWUJgLB2B5AgQIECBAgACBugUU5rrzMR0BAgQIECBAgEBhAYW5cACWJ0CAAAECBAgQqFtAYa47H9MRIECAAAECBAgUFlCYCwdgeQIECBAgQIAAgboFFOa68zEdAQIECBAgQIBAYQGFuXAAlidAgAABAgQIEKhbQGGuOx/TESBAgAABAgQIFBZQmAsHYHkCBAgQIECAAIG6BRTmuvMxHQECBAgQIECAQGEBhblwAJYnQIAAAQIECBCoW0Bhrjsf0xEgQIAAAQIECBQWUJgLB2B5AgQIECBAgACBugUU5rrzMR0BAgQIECBAgEBhAYW5cACWJ0CAAAECBAgQqFtAYa47H9MRIECAAAECBAgUFlCYCwdgeQIECBAgQIAAgboFFOa68zEdAQIECBAgQIBAYQGFuXAAlidAgAABAgQIEKhbQGGuOx/TESBAgAABAgQIFBZQmAsHYHkCBAgQIECAAIG6BRTmuvMxHQECBAgQIECAQGEBhblwAJYnQIAAAQIECBCoW0Bhrjsf0xEgQIAAAQIECBQWUJgLB2B5AgQIECBAgACBugUU5rrzMR0BAgQIECBAgEBhAYW5cACWJ0CAAAECBAgQqFtAYa47H9MRIECAAAECBAgUFlCYCwdgeQIECBAgQIAAgboFFOa68zEdAQIECBAgQIBAYQGFuXAAlidAgAABAgQIEKhbQGGuOx/TESBAgAABAgQIFBZQmAsHYHkCBAgQIECAAIG6BRTmuvMxHQECBAgQIECAQGEBhblwAJYnQIAAAQIECBCoW0Bhrjsf0xEgQIAAAQIECBQWUJgLB2B5AgQIECBAgACBugUU5rrzMR0BAgQIECBAgEBhAYW5cACWJ0CAAAECBAgQqFtAYa47H9MRIECAAAECBAgUFlCYCwdgeQIECBAgQIAAgboFFOa68zEdAQIECBAgQIBAYQGFuXAAlidAgAABAgQIEKhbQGGuOx/TESBAgAABAgQIFBZQmAsHYHkCBAgQIECAAIG6BRTmuvMxHQECBAgQIECAQGEBhblwAJYnQIAAAQIECBCoW0Bhrjsf0xEgQIAAAQIECBQWUJgLB2B5AgQIECBAgACBugUU5rrzMR0BAgQIECBAgEBhAYW5cACWJ0CAAAECBAgQqFtAYa47H9MRIECAAAECBAgUFlCYCwdgeQIECBAgQIAAgboFFOa68zEdAQIECBAgQIBAYQGFuXAAlidAgAABAgQIEKhbQGGuOx/TESBAgAABAgQIFBZQmAsHYHkCBAgQIECAAIG6BRTmuvMxHQECBAgQIECAQGEBhblwAJYnQIAAAQIECBCoW0Bhrjsf0xEgQIAAAQIECBQWUJgLB2B5AgQIECBAgACBugUU5rrzMR0BAgQIECBAgEBhAYW5cACWJ0CAAAECBAgQqFtAYa47H9MRIECAAAECBAgUFlCYCwdgeQIECBAgQIAAgboFFOa68zEdAQIECBAgQIBAYQGFuXAAlidAgAABAgQIEKhbQGGuOx/TESBAgAABAgQIFBZQmAsHYHkCBAgQIECAAIG6BRTmuvMxHQECBAgQIECAQGEBhblwAJYnQIAAAQIECBCoW0Bhrjsf0xEgQIAAAQIECBQWUJgLB2B5AgQIECBAgACBugUU5rrzMR0BAgQIECBAgEBhAYW5cACWJ0CAAAECBAgQqFtAYa47H9MRIECAAAECBAgUFlCYCwdgeQIECBAgQIAAgboFFOa68zEdAQIECBAgQIBAYQGFuXAAlidAgAABAgQIEKhbQGGuOx/TESBAgAABAgQIFBZQmAsHYHkCBAgQIECAAIG6BRTmuvMxHQECBAgQIECAQGEBhblwAJYnQIAAAQIECBCoW0Bhrjsf0xEgQIAAAQIECBQWUJgLB2B5AgQIECBAgACBugUU5rrzMR0BAgQIECBAgEBhAYW5cACWJ0CAAAECBAgQqFtAYa47H9MRIECAAAECBAgUFlCYCwdgeQIECBAgQIAAgboFFOa68zEdAQIECBAgQIBAYQGFuXAAlidAgAABAgQIEKhbQGGuOx/TESBAgAABAgQIFBZQmAsHYHkCBAgQIECAAIG6BRTmuvMxHQECBAgQIECAQGEBhblwAJYnQIAAAQIECBCoW0Bhrjsf0xEgQIAAAQIECBQWUJgLB2B5AgQIECBAgACBugUU5rrzMR0BAgQIECBAgEBhAYW5cACWJ0CAAAECBAgQqFtAYa47H9MRIECAAAECBAgUFlCYCwdgeQIECBAgQIAAgboFFOa68zEdAQIECBAgQIBAYQGFuXAAlidAgAABAgQIEKhbQGGuOx/TESBAgAABAgQIFBZQmAsHYHkCBAgQIECAAIG6Bf4eCwMl4RWvJBsAAAAASUVORK5CYII=478-477.541xMountain-9090false90036-144-130,-108,-96.99542929100608,-91.32725994741025,-85.62275104805144,-35.39841888736819,-15.526447459334548,-11.974350200284583,-6.29559682124319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