CS计算机代考程序代写 scheme cache DrRacket #reader(lib”read.ss””wxme”)WXME0109 ##

#reader(lib”read.ss””wxme”)WXME0109 ##
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#” Video #054 ———————————————————”
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#”; Ein innerer Knoten eines Huffman-Tree (huff-node) besitzt”
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#”; Signatur (huff-tree-of t): Huffman-Tree mit Bl\303\244ttern ”
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0 0 17 3 28 #”; Ein Bit eines Zeichencodes”
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#”; Beispiel: Huffman-Tree f\303\274r Text \”erdbeermarmelade\””
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0 0 17 3 26 #”; des Huffman-Codes ist ht”
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#”; huff-encode: Codiere einen String mittels eines Huffman-Trees (Plan”
#” A)”
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0 0 17 3 57 #”; (zu Plan (B) siehe Slide 13 in Chapter 12)”
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0 0 24 29 1 #”\n”
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0 0 17 3 52 #”; Codiere einzelnes Zeichen c mittels Huffman-Tree t”
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#”; Text \”lambda\” wird in 20 Bits codiert, \”erdbeermarmelade\” in 42″
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#”; Codierung und Decodierung stellt Originalnachricht s wieder her”
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#”; (ACHTUNG: konstruiere String nur aus codierbaren Zeichen):”
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0 0 24 3 1 #” ”
0 0 17 3 63
#”; sich in der Front des Huffmann-Tree code-for-erdbeermarmelade”
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2 -1.0 -1.0 0.0 0.0 0 2 500 10 262 11 0 0 17 3 69
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#” Video #057 ———————————————————”
) 0 0 24 29 1 #”\n”
0 0 24 29 1 #”\n”
0 0 17 3 41 #”; Konstruktion von Huffman-Trees (Teil 1)”
0 0 24 29 1 #”\n”
0 0 24 29 1 #”\n”
0 0 24 29 1 #”\n”
0 0 17 3 49 #”; Ein Vorkommen (occur) ist charakterisiert durch”
0 0 24 29 1 #”\n”
0 0 17 3 23 #”; – ein Ding (item) und”
0 0 24 29 1 #”\n”
0 0 17 3 28 #”; – seine H\303\244ufigkeit (freq)”
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0 0 24 3 1 #”(”
0 0 14 3 1 #”:”
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0 0 14 3 10 #”make-occur”
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0 0 24 29 1 #”\n”
0 0 24 3 2 #” ”
0 0 24 29 1 #”\n”
0 0 17 3 45 #”; Vergleiche zwei Vorkommen bzgl. H\303\244ufigkeit”
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0 0 14 3 8 #”occur<=?" 0 0 24 3 1 #")" 0 0 24 29 1 #"\n" 0 0 24 3 14 #" (" 0 0 14 3 3 #"map" 0 0 24 3 2 #" (" 0 0 15 3 6 #"lambda" 0 0 24 3 2 #" (" 0 0 14 3 1 #"g" 0 0 24 3 3 #") (" 0 0 14 3 10 #"make-occur" 0 0 24 3 2 #" (" 0 0 14 3 5 #"first" 0 0 24 3 1 #" " 0 0 14 3 1 #"g" 0 0 24 3 1 #")" 0 0 24 29 1 #"\n" 0 0 24 3 43 #" (" 0 0 14 3 6 #"length" 0 0 24 3 1 #" " 0 0 14 3 1 #"g" 0 0 24 3 3 #")))" 0 0 24 29 1 #"\n" 0 0 24 3 19 #" (" 0 0 14 3 8 #"group-by" 0 0 24 3 1 #" " 0 0 14 3 2 #"id" 0 0 24 3 1 #" " 0 0 14 3 8 #"string=?" 0 0 24 3 2 #" (" 0 0 14 3 20 #"string->strings-list”
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0 0 24 29 1 #”\n”
0 0 24 29 1 #”\n”
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#”; Wie h\303\244ufig kommen welche Zeichen im Referenz-Text vor?”
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0 0 24 29 1 #”\n”
0 0 24 29 1 #”\n”
0 0 24 29 1 #”\n”
0 0 24 29 1 #”\n”
0 0 17 3 58
#”; Konstruiere Liste der Huffman-Tree-Bl\303\244tter aus Liste os”
0 0 24 29 1 #”\n”
0 0 17 3 42 #”; der H\303\244ufigkeiten der einzelnen Zeichen:”
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0 0 24 3 1 #” ”
0 0 14 3 14 #”huffman-leaves”
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0 0 14 3 2 #”%a”
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0 0 14 3 2 #”%b”
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0 0 24 29 1 #”\n”
0 0 17 3 67
#”; Debugging: drucke Liste von Vorkommen mit Huffman-Tree-Fragmenten”
0 0 24 29 1 #”\n”
0 0 17 3 48 #”; in REPL aus (ansonsten: Identit\303\244t)”
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0 0 24 3 1 #”(”
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0 10 612 21 2 #”(\0″
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29 1 #”\n”
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3 1 #” ”
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3 1 #”)”
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3 5 #”\” , \””
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29 1 #”\n”
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3 1 #”_”
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3 1 #”o”
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0 0 24 29 1 #”\n”
0 0 17 3 45 #”; Liste der Blatt-Fragmente der Huffman-Trees”
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0 0 17 3 39 #”; f\303\274r Referenz-Text \”erdbeermarmelade\””
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2 -1.0 -1.0 0.0 0.0 0 2 500 10 262 11 0 0 17 3 69
(20
#” Video #058 ———————————————————”
) 0 0 24 29 1 #”\n”
0 0 24 29 1 #”\n”
0 0 17 3 41 #”; Konstruktion von Huffman-Trees (Teil 2)”
0 0 24 29 1 #”\n”
0 0 24 29 1 #”\n”
0 0 17 3 56 #”; 1. Verbinde die ersten beiden Baum-Fragmente in hts zu”
0 0 24 29 1 #”\n”
0 0 17 3 31 #”; einem gr\303\266\303\237eren Fragment,”
0 0 24 29 1 #”\n”
0 0 17 3 59
#”; 2. sortiere das neue Fragment bzgl. seiner akkumulierten ”
0 0 24 29 1 #”\n”
0 0 17 3 34 #”; H\303\244ufigkeit wieder in hts ein”
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0 0 24 3 1 #”(”
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0 0 14 3 1 #”x”
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0 0 24 29 1 #”\n”
0 0 24 29 1 #”\n”
0 0 24 29 1 #”\n”
0 0 17 3 38 #”; Enth\303\244lt Liste xs genau ein Element?”
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0 0 24 29 1 #”\n”
0 0 24 29 1 #”\n”
0 0 24 29 1 #”\n”
0 0 17 3 64
#”; Iteriere Merge-Schritte, bis nur noch ein Baum-Fragment (= der”
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0 0 17 3 34 #”; gesuchte Huffman-Tree) existiert”
0 0 24 29 1 #”\n”
0 0 24 3 1 #”(”
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0 0 24 3 12 #” (”
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0 0 24 29 1 #”\n”
0 0 17 3 48 #”; Generiere optimalen Huffman-Tree f\303\274r String s”
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0 0 24 3 1 #”(”
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0 0 14 3 5 #”merge”
0 0 24 3 19 #” ”
0 0 17 3 12 #”; Schritt 3.”
0 0 24 29 1 #”\n”
0 0 24 3 19 #” (”
0 0 14 3 14 #”huffman-leaves”
0 0 24 3 20 #” ”
0 0 17 3 12 #”; Schritt 2.”
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0 0 24 3 20 #” (”
0 0 14 3 11 #”occurrences”
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0 0 14 3 1 #”s”
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0 0 17 3 12 #”; Schritt 1.”
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0 0 24 3 1 #” ”
0 0 14 3 1 #”_”
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0 0 14 3 2 #”ht”
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0 0 17 3 12 #”; Schritt 4.”
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0 0 24 29 1 #”\n”
0 0 24 29 1 #”\n”
0 0 17 3 12 #”; Beispiele:”
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0 0 17 3 62
(21
#”; Generiere Huffman-Code f\xC3\xBCr Referenz-Text \”erdbeermarmelade”
#”\””
) 0 0 24 29 1 #”\n”
0 0 24 3 1 #”(”
0 0 14 3 5 #”print”
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0 0 24 29 1 #”\n”
0 0 24 29 1 #”\n”
0 0 24 29 1 #”\n”
0 0 24 29 1 #”\n”
0 0 17 3 52 #”; STAR WARS scroll: Intro zu Episode IV (A New Hope)”
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0 0 19 3 26 #”starwarsepisodeivanewhope\\”
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0 0 19 3 32 #”alongtimeagoinagalaxyfarfaraway\\”
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0 0 19 3 18 #”aperiodofcivilwar\\”
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0 0 19 3 63
#”rebelspaceshipsstrikingfromahiddenbasehavewontheirfirstvictory\\”
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0 0 19 3 62
#”againsttheevilgalacticempireduringthebattlerebelspiesmanagedto”
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0 0 19 3 55 #”stealsecretplanstotheempiresultimateweaponthedeathstar\\”
0 0 19 29 1 #”\n”
0 0 19 3 23 #”anarmoredspacestationwi”
0 0 19 3 36 #”thenoughpowertodestroyanentireplanet”
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0 0 19 3 38 #”pursuedbytheempiressinisteragentsprinc”
0 0 19 3 17 #”essleiaraceshome\\”
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0 0 19 3 63
#”aboardherstarshipcustodianofthestolenplansthatcansaveherpeople\\”
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0 0 24 29 1 #”\n”
0 0 24 29 1 #”\n”
0 0 17 3 64
(22
#”; Generiere Huffman-Code f\xC3\xBCr STAR WARS Scroll als Referenz-Tex”
#”t”
) 0 0 24 29 1 #”\n”
0 0 24 3 1 #”(”
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0 0 24 29 1 #”\n”
0 0 17 3 66
#”; Codierung und Decodierung mit UNTERSCHIEDLICHEN(!) Huffman-Trees”
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0 0 17 3 19 #”; f\303\274hrt zu Garbage”
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