tests: replace copyrighted lyrics with placeholder text
The align, transcribe, lyrics and notes tests quoted lines from published songs, and the UltraStar parser fixtures were complete community charts of commercial songs. Replace them with counting words and two hand-written charts that keep what the parser tests rely on: CRLF line endings, Latin-1 bytes, a decimal-comma BPM, freestyle/golden/rap notes, negative pitch and a two-number line break.
This commit is contained in:
Vendored
+36
@@ -0,0 +1,36 @@
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#TITLE:Placeholder Chart
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#ARTIST:Test Artist
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#LANGUAGE:English
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#YEAR:2000
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#CREATOR:songtrace tests
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#GENRE:Test
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#COVER:Test Artist - Placeholder Chart [CO].jpg
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#MP3:Test Artist - Placeholder Chart.mp3
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#VIDEO:Test Artist - Placeholder Chart.mp4
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#BPM:217,98
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#GAP:4880
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#MEDLEYSTARTBEAT:113
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#MEDLEYENDBEAT:240
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: 0 3 16 ah
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: 5 3 20 ah
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: 11 3 23 la
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: 17 3 16 la
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: 22 28 15 ah
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: 51 2 16 doo
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: 54 31 16 ~
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- 95
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F 113 3 18 la
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F 117 3 21 la
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F 121 3 21 la
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* 125 3 21 doo
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* 129 12 19 ~
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- 150
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: 155 4 12 Na
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R 160 4 0 na
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G 165 4 0 na
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: 170 6 14 la
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- 190
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: 194 3 16 La
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: 198 3 18 la
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* 202 10 20 ah
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E
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Vendored
+21
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#TITLE:Café Placeholder
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#ARTIST:Tést Artist
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#LANGUAGE:English
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#GENRE:Test
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#YEAR:2000
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#MP3:Tést Artist - Café Placeholder.mp3
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#CREATOR:songtrace tests
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#BPM:256
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#GAP:49673
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: 0 4 2 Doo
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: 6 4 4 doo
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: 12 8 5 laé
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- 28 30
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: 32 4 0 Na
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: 38 4 -2 na
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* 44 12 -9 ah
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- 64
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F 70 4 3 La
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: 76 6 -5 la
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: 84 10 -9 ~
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E
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Vendored
-472
@@ -1,472 +0,0 @@
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#TITLE:Sanctuary
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#ARTIST:Utada Hikaru
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#LANGUAGE:English
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#YEAR:2009
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#CREATOR:Subkei
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#GENRE:J-Pop
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#COVER:Utada Hikaru - Sanctuary [CO].jpg
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#MP3:Utada Hikaru - Sanctuary.mp3
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#VIDEO:Utada Hikaru - Sanctuary.mp4
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#BPM:217,98
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#GAP:4880
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#MEDLEYSTARTBEAT:2471
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#MEDLEYENDBEAT:2990
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: 0 3 16 ah
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: 5 3 20 ah
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: 11 3 23 ah
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: 17 3 16 ah
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: 22 28 15 ah
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: 51 2 16 ah
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: 54 31 16 ~
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- 95
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F 113 3 18 wonk
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F 117 3 21 uoy
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F 121 3 21 naht
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F 125 3 21 snoit
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F 129 3 21 cef
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F 133 3 18 fa
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F 137 3 18 erom
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F 144 2 18 deen
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F 147 4 18 I
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- 180
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: 425 3 16 In
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: 429 3 21 you
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: 433 2 20 ~
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: 436 4 16 ~
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: 441 2 18 and
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: 445 4 20 I
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: 451 4 18 ~
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- 459
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: 461 3 16 there's
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: 465 3 16 a
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: 469 5 20 new
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: 475 4 23 land
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: 481 4 16 ~
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: 487 27 15 ~
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: 515 4 16 ~
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: 521 17 16 ~
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: 539 1 18 ~
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: 541 3 20 ~
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- 547
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: 549 1 16 An
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: 551 2 18 ~
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: 556 3 18 gels
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: 560 4 18 in
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: 565 7 20 flight
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: 573 2 18 ~
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- 576
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F 578 2 18 wonk
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F 581 3 21 uoy
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F 585 3 21 naht
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F 589 3 21 snoit
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F 593 3 21 cef
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F 597 3 18 fa
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F 601 3 18 erom
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F 608 2 18 deen
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F 611 3 18 I
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- 615
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: 617 1 16 My
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: 620 1 21 sanc
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: 624 2 20 tu
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: 628 4 16 a
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: 634 8 18 ry
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- 646
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: 648 3 16 my
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: 653 1 21 sanc
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: 657 2 20 tu
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: 661 3 16 a
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: 665 4 16 ry
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: 670 2 18 ~
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F 674 4 13 yeah
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- 680
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: 682 2 16 Where
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: 686 1 21 fears
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: 689 1 20 ~
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: 691 5 16 ~
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: 697 1 18 and
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* 701 4 20 lies
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* 707 4 18 ~
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- 715
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: 717 3 16 melt
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: 721 3 16 a
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: 725 4 20 way
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: 732 4 23 ~
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: 737 3 16 ~
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: 742 28 15 ~
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: 771 3 16 ~
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: 775 19 16 ~
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: 795 1 18 ~
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: 797 3 20 ~
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- 804
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: 806 1 16 Mu
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: 808 2 18 ~
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: 812 3 18 sic
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: 817 3 18 will
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: 822 7 20 tie
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: 830 2 18 ~
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- 833
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F 835 1 18 wonk
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F 837 3 21 uoy
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F 841 3 21 naht
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F 845 3 21 snoit
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F 849 3 21 cef
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F 853 3 18 fa
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F 857 3 18 erom
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F 864 2 18 deen
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F 867 3 18 I
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- 871
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: 873 2 16 What's
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: 877 1 21 left
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: 881 1 20 of
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: 884 3 16 me
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: 888 1 16 ~
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: 890 7 18 ~
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- 903
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: 905 2 16 What's
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: 909 1 21 left
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: 913 1 20 of
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: 916 3 16 me
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: 921 2 16 ~
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: 925 3 18 ~
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: 933 24 13 now?
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- 986
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: 1069 3 13 I
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: 1074 6 16 watch
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: 1082 3 16 you
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: 1087 9 18 ~
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- 1102
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: 1105 3 18 fast
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: 1109 3 20 ~
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* 1117 2 13 a
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* 1122 5 16 sleep
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: 1129 3 18 ~
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: 1133 15 16 ~
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- 1162
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: 1189 3 20 All
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: 1193 6 21 ~
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: 1201 3 18 I
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: 1205 6 20 ~
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: 1213 5 16 fear
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: 1220 20 13 ~
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- 1246
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: 1249 2 11 means
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: 1255 7 13 no
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: 1266 5 18 thing
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: 1273 41 20 ~
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- 1319
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: 1321 2 16 In
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: 1325 2 21 you
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: 1328 2 20 ~
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: 1332 3 16 ~
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: 1337 2 18 and
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: 1341 4 20 I
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: 1347 4 18 ~
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- 1355
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: 1357 3 16 there's
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: 1361 3 16 a
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* 1365 5 20 new
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: 1371 4 23 land
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: 1377 4 16 ~
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: 1383 27 15 ~
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: 1411 4 16 ~
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: 1417 17 16 ~
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: 1435 1 18 ~
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: 1437 3 20 ~
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- 1442
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: 1444 1 16 An
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: 1446 2 18 ~
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: 1452 3 18 gels
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: 1457 3 18 in
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: 1462 6 20 flight
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: 1469 2 18 ~
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- 1472
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F 1474 1 18 wonk
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F 1476 3 21 uoy
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F 1480 3 21 naht
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F 1484 3 21 snoit
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F 1488 3 21 cef
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F 1492 3 18 fa
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F 1496 3 18 erom
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F 1503 2 18 deen
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F 1506 3 18 I
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- 1511
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: 1513 1 16 My
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: 1516 1 21 sanc
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: 1520 2 20 tu
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: 1524 4 16 a
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: 1530 8 18 ry
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- 1541
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: 1543 3 16 my
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: 1548 1 21 sanc
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: 1552 2 20 tu
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: 1556 3 16 a
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: 1560 4 16 ry
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: 1565 2 18 ~
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F 1570 3 13 yeah
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- 1575
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: 1577 2 16 Where
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* 1581 1 21 fears
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* 1584 1 20 ~
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: 1586 5 16 ~
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: 1592 1 18 and
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: 1596 4 20 lies
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: 1602 4 18 ~
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- 1611
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: 1613 3 16 melt
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: 1617 3 16 a
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: 1621 4 20 way
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: 1628 4 23 ~
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: 1633 3 16 ~
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: 1638 27 15 ~
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: 1666 4 16 ~
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: 1672 18 16 ~
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: 1691 1 18 ~
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: 1693 3 20 ~
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- 1699
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: 1701 1 16 Mu
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: 1703 2 18 ~
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: 1707 3 18 sic
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: 1712 3 18 will
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: 1717 7 20 tie
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: 1725 2 18 ~
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- 1728
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F 1730 2 18 wonk
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F 1733 3 21 uoy
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F 1737 3 21 naht
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F 1741 3 21 snoit
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F 1745 3 21 cef
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F 1749 3 18 fa
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F 1753 3 18 erom
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F 1760 2 18 deen
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F 1763 3 18 I
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- 1767
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: 1769 2 16 What's
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: 1773 1 21 left
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: 1777 1 20 of
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: 1780 3 16 me
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: 1785 1 16 ~
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: 1787 7 18 ~
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- 1798
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: 1800 2 16 What's
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: 1804 1 21 left
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* 1808 1 20 of
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* 1811 3 16 me
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: 1815 1 16 ~
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: 1817 7 18 ~
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- 1831
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F 1834 2 21 snwod
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F 1837 2 20 dna
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F 1841 3 18 spu
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F 1845 3 20 y
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F 1849 3 20 nam
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F 1853 3 18 os
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- 1870
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: 1897 3 20 My
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* 1901 2 20 heart's
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: 1904 1 18 a
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: 1906 3 20 bat
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: 1910 3 21 tle
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: 1914 5 21 ground
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- 1926
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F 1929 2 16 snoit
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F 1932 6 16 om
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F 1941 2 18 e
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F 1945 2 18 ~
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F 1948 2 18 eurt
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F 1952 2 18 deen
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F 1955 2 16 I
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- 1971
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F 1987 3 18 wonk
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F 1991 3 21 uoy
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F 1995 3 21 naht
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F 1999 3 21 snoit
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F 2003 3 21 cef
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F 2007 3 18 fa
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F 2011 3 18 erom
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F 2018 2 18 deen
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F 2021 3 18 I
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- 2038
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F 2059 2 16 snoit
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F 2062 6 16 om
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F 2070 3 18 e
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F 2075 2 18 ~
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F 2078 2 18 eurt
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F 2082 2 18 deen
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F 2085 2 16 I
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- 2116
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: 2219 3 13 You
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: 2224 6 16 show
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: 2232 3 16 me
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: 2237 7 18 ~
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- 2252
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: 2255 3 18 how
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: 2259 3 20 ~
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: 2267 2 13 to
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: 2272 5 16 see
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- 2282
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* 2284 3 13 That
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* 2289 6 16 no
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* 2297 3 16 thing
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* 2302 5 18 ~
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- 2313
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: 2316 3 13 is
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: 2321 3 16 whole
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: 2325 2 15 ~
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: 2328 2 13 and
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: 2331 1 13 ~
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: 2333 2 15 ~
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- 2338
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: 2340 3 20 no
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: 2344 6 21 ~
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: 2352 3 18 ~
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: 2356 6 20 ~
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: 2364 5 16 thing
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: 2371 12 13 ~
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- 2395
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: 2399 2 11 is
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: 2403 9 13 bro
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: 2416 5 18 ken
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: 2423 41 20 ~
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- 2470
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: 2472 2 16 In
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* 2476 2 21 you
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* 2479 2 20 ~
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* 2483 3 16 ~
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: 2488 2 18 and
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: 2492 4 20 I
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: 2499 3 18 ~
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- 2506
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: 2508 3 16 There's
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: 2512 3 16 a
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: 2516 5 20 new
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: 2522 4 23 land
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: 2528 4 16 ~
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: 2534 27 15 ~
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: 2562 4 16 ~
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: 2568 17 16 ~
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: 2586 1 18 ~
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: 2588 3 20 ~
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- 2593
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: 2595 1 16 An
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: 2597 2 18 ~
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: 2603 3 18 gels
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: 2608 3 18 in
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: 2613 6 20 flight
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: 2620 2 18 ~
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- 2623
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F 2625 2 18 wonk
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F 2628 3 21 uoy
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F 2632 3 21 naht
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F 2636 3 21 snoit
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F 2640 3 21 cef
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F 2644 3 18 fa
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F 2648 3 18 erom
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F 2655 2 18 deen
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F 2658 2 18 I
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- 2661
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: 2663 2 16 My
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: 2668 1 21 sanc
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: 2672 1 20 tu
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: 2675 4 16 a
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: 2681 7 18 ry
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- 2693
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: 2695 3 16 My
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: 2700 1 21 sanc
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: 2704 2 20 tu
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: 2708 3 16 a
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: 2712 4 16 ry
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: 2717 2 18 ~
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F 2721 4 13 yeah
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- 2726
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: 2728 2 16 Where
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: 2732 1 21 fears
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: 2735 1 20 ~
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: 2737 5 16 ~
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: 2743 1 18 and
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: 2747 4 20 lies
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: 2754 3 18 ~
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- 2761
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: 2763 3 16 melt
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: 2767 3 16 a
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: 2771 4 20 way
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: 2778 4 23 ~
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: 2783 4 16 ~
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: 2789 27 15 ~
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: 2817 4 16 ~
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: 2823 17 16 ~
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: 2841 1 18 ~
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: 2843 3 20 ~
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- 2849
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: 2851 1 16 Mu
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: 2853 2 18 ~
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||||
: 2857 3 18 sic
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||||
* 2862 3 18 will
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* 2868 7 20 tie
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: 2877 2 18 ~
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- 2880
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F 2882 1 18 wonk
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F 2884 3 21 uoy
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F 2888 3 21 naht
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F 2892 3 21 snoit
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F 2896 3 21 cef
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F 2900 3 18 fa
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F 2904 3 18 erom
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F 2911 2 18 deen
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F 2914 2 18 I
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- 2917
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||||
: 2919 2 16 What's
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||||
: 2923 1 21 left
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: 2927 1 20 of
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||||
: 2930 3 16 me
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: 2935 1 16 ~
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: 2937 7 18 ~
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- 2949
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||||
: 2951 2 16 What's
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||||
: 2955 1 21 left
|
||||
* 2959 1 20 of
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||||
* 2962 3 16 me
|
||||
* 2967 2 16 ~
|
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: 2971 3 18 ~
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: 2979 12 13 now?
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||||
- 3005
|
||||
: 3026 2 11 uh
|
||||
: 3029 2 13 ~
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: 3032 3 16 ~
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: 3036 8 15 ~
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: 3045 4 18 ~
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: 3051 4 16 ~
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: 3056 3 15 ~
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: 3060 3 13 ~
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||||
- 3066
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||||
: 3068 1 16 My
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: 3070 2 18 ~
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||||
: 3074 12 18 fears
|
||||
- 3096
|
||||
: 3100 1 16 my
|
||||
: 3102 2 18 ~
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: 3107 3 18 lies
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||||
: 3111 2 16 ~
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: 3114 1 13 ~
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||||
- 3129
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||||
* 3164 3 16 melt
|
||||
* 3169 3 16 a
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||||
* 3173 4 20 way
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* 3179 4 23 ~
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* 3185 3 16 ~
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* 3190 27 15 ~
|
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* 3218 3 16 ~
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* 3223 19 16 ~
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- 3248
|
||||
: 3250 4 18 ah
|
||||
: 3256 126 20 ~
|
||||
- 3392
|
||||
F 3410 1 18 wonk
|
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F 3412 3 21 uoy
|
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F 3416 3 21 naht
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F 3420 3 21 snoit
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F 3424 3 21 cef
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F 3428 3 18 fa
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F 3432 3 18 erom
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F 3439 2 18 deen
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F 3442 3 18 I
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E
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||||
Vendored
-494
@@ -1,494 +0,0 @@
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||||
#TITLE:Sweet Child O´Mine
|
||||
#ARTIST:Guns N' Roses
|
||||
#LANGUAGE:English
|
||||
#GENRE:Rock
|
||||
#YEAR:1987
|
||||
#MP3:Guns N' Roses - Sweet Child O´Mine.mp3
|
||||
#COVER:Guns N' Roses - Sweet Child O´Mine.jpg
|
||||
#VIDEO:Guns N' Roses - Sweet Child O´Mine.webm
|
||||
#CREATOR:sanicsip
|
||||
#FIXER:Pacayaka
|
||||
#BPM:256
|
||||
#GAP:49673
|
||||
#VIDEOGAP:0,3
|
||||
#START:13
|
||||
#MEDLEYSTARTBEAT:1564
|
||||
#MEDLEYENDBEAT:2057
|
||||
: 0 3 8 She's
|
||||
: 5 2 8 got
|
||||
: 8 1 8 a
|
||||
: 13 2 6 smile
|
||||
: 16 8 8 ~
|
||||
: 25 1 6 that
|
||||
: 27 2 5 it
|
||||
: 32 7 6 seems
|
||||
: 41 1 8 to
|
||||
: 45 1 5 me
|
||||
: 47 5 4 ~
|
||||
: 53 1 3 ~
|
||||
- 55
|
||||
: 57 1 1 re
|
||||
: 60 7 6 minds
|
||||
: 69 2 5 me
|
||||
: 73 1 1 of
|
||||
: 76 1 1 child
|
||||
: 79 9 6 ~
|
||||
: 91 5 6 hood
|
||||
- 99
|
||||
: 101 3 6 mem
|
||||
: 105 4 5 o
|
||||
: 111 6 3 ries
|
||||
: 118 1 1 ~
|
||||
- 120
|
||||
: 122 3 1 where
|
||||
: 126 2 4 eve
|
||||
: 129 5 6 ~
|
||||
: 135 2 5 ~
|
||||
: 138 1 1 ry
|
||||
: 142 2 4 thing
|
||||
: 145 4 6 ~
|
||||
: 150 2 5 was
|
||||
: 154 1 1 as
|
||||
: 158 2 5 fresh
|
||||
: 161 4 6 ~
|
||||
: 166 3 5 as
|
||||
: 171 1 1 the
|
||||
: 174 5 6 bright
|
||||
: 181 5 6 blue
|
||||
: 190 8 6 sky
|
||||
: 200 5 5 ~
|
||||
- 222
|
||||
: 258 4 8 Now
|
||||
: 264 4 8 and
|
||||
: 271 10 8 then
|
||||
: 283 2 6 when
|
||||
: 287 2 5 I
|
||||
: 291 3 6 see
|
||||
: 295 1 5 her
|
||||
: 297 1 6 ~
|
||||
: 299 2 8 ~
|
||||
: 304 8 5 face
|
||||
- 313
|
||||
: 315 3 6 she
|
||||
: 319 3 8 ~
|
||||
: 324 3 6 takes
|
||||
: 330 2 5 me
|
||||
: 334 1 1 a
|
||||
: 338 2 3 way
|
||||
: 341 3 6 ~
|
||||
: 345 2 5 to
|
||||
: 349 3 1 that
|
||||
- 354
|
||||
: 356 3 6 spe
|
||||
: 360 3 6 cial
|
||||
: 364 2 8 ~
|
||||
: 369 1 6 place
|
||||
: 371 4 5 ~
|
||||
: 377 2 5 and
|
||||
: 381 1 6 if
|
||||
: 384 2 5 I
|
||||
: 389 3 6 stare
|
||||
: 393 2 5 ~
|
||||
: 398 3 6 too
|
||||
: 402 2 5 ~
|
||||
: 405 4 6 long
|
||||
: 410 1 5 ~
|
||||
- 415
|
||||
: 417 1 1 I'd
|
||||
: 420 1 1 prob
|
||||
: 423 1 6 a
|
||||
: 425 2 6 bly
|
||||
: 429 5 6 break
|
||||
: 436 5 6 down
|
||||
: 442 2 6 and
|
||||
* 445 1 8 ~
|
||||
: 450 7 6 cry
|
||||
: 458 8 5 ~
|
||||
- 483
|
||||
: 512 3 6 Whoah
|
||||
: 517 24 8 ~
|
||||
: 543 3 10 oh
|
||||
: 548 2 8 ooh
|
||||
: 551 3 8 whoah
|
||||
: 555 1 6 ~
|
||||
: 559 3 6 sweet
|
||||
: 563 1 5 ~
|
||||
: 567 2 5 child
|
||||
: 570 3 6 ~
|
||||
: 575 1 6 o'
|
||||
: 578 8 6 mine
|
||||
: 587 12 5 ~
|
||||
- 616
|
||||
: 643 1 6 Whoah
|
||||
: 645 11 8 ~
|
||||
: 659 7 6 oh
|
||||
: 668 7 5 oh
|
||||
: 677 2 5 oh
|
||||
: 680 3 6 ~
|
||||
: 684 3 5 ~
|
||||
: 689 5 1 sweet
|
||||
: 697 7 3 love
|
||||
: 706 2 5 of
|
||||
: 711 26 1 mine
|
||||
- 771
|
||||
: 1041 5 8 She's
|
||||
: 1048 6 8 got
|
||||
: 1056 2 6 eyes
|
||||
: 1059 7 8 ~
|
||||
: 1068 3 6 of
|
||||
: 1073 1 5 the
|
||||
: 1076 3 6 blu
|
||||
: 1080 3 6 est
|
||||
: 1084 2 8 ~
|
||||
: 1089 11 3 skies
|
||||
: 1102 5 1 as
|
||||
: 1110 5 6 if
|
||||
: 1118 7 6 they
|
||||
- 1128
|
||||
: 1130 4 6 thought
|
||||
: 1135 2 5 of
|
||||
: 1140 2 5 rain
|
||||
: 1143 4 6 ~
|
||||
: 1148 4 5 ~
|
||||
- 1162
|
||||
* 1171 4 8 I
|
||||
: 1176 2 5 hate
|
||||
: 1179 3 6 ~
|
||||
: 1184 2 6 to
|
||||
: 1187 3 5 ~
|
||||
: 1192 2 6 look
|
||||
: 1196 10 6 in
|
||||
: 1208 3 6 to
|
||||
: 1213 6 5 those
|
||||
: 1221 2 5 eyes
|
||||
: 1224 7 6 ~
|
||||
: 1233 4 6 and
|
||||
- 1239
|
||||
: 1241 4 6 see
|
||||
: 1246 1 5 ~
|
||||
: 1249 3 1 an
|
||||
: 1253 1 3 ounce
|
||||
: 1256 5 6 ~
|
||||
: 1262 1 5 ~
|
||||
: 1265 2 1 of
|
||||
: 1269 15 1 pain
|
||||
- 1294
|
||||
: 1301 3 6 Her
|
||||
: 1305 2 6 hair
|
||||
: 1308 5 8 ~
|
||||
: 1314 2 8 re
|
||||
: 1318 6 8 minds
|
||||
: 1326 4 8 me
|
||||
: 1331 3 6 of
|
||||
: 1335 2 5 a
|
||||
: 1339 6 6 warm
|
||||
: 1347 2 6 safe
|
||||
: 1350 3 8 ~
|
||||
: 1355 6 5 place
|
||||
- 1362
|
||||
: 1364 6 1 where
|
||||
: 1372 3 6 as
|
||||
: 1376 2 5 ~
|
||||
: 1380 2 1 a
|
||||
: 1384 2 5 child
|
||||
: 1387 7 6 ~
|
||||
* 1395 3 8 I'd
|
||||
: 1399 5 6 hide
|
||||
: 1405 1 5 ~
|
||||
: 1408 11 1 ~
|
||||
- 1428
|
||||
: 1431 1 6 and
|
||||
: 1433 2 8 ~
|
||||
: 1437 2 5 pray
|
||||
: 1440 3 6 ~
|
||||
: 1445 3 6 for
|
||||
: 1449 2 5 the
|
||||
: 1453 7 6 thun
|
||||
: 1461 6 6 der
|
||||
- 1471
|
||||
: 1473 4 6 and
|
||||
: 1478 2 5 the
|
||||
: 1482 1 5 rain
|
||||
: 1484 6 6 ~
|
||||
- 1491
|
||||
: 1493 1 5 to
|
||||
: 1496 8 6 qui
|
||||
: 1505 2 5 et
|
||||
: 1509 2 1 ly
|
||||
: 1514 1 5 pass
|
||||
: 1516 6 6 ~
|
||||
* 1526 2 8 me
|
||||
: 1529 5 6 by
|
||||
: 1535 1 5 ~
|
||||
: 1538 10 1 ~
|
||||
- 1558
|
||||
: 1566 3 6 Whoah
|
||||
: 1570 19 8 ~
|
||||
: 1591 3 10 oh
|
||||
: 1595 3 8 ooh
|
||||
: 1600 2 8 whoah
|
||||
: 1603 1 6 ~
|
||||
: 1607 4 6 sweet
|
||||
: 1612 1 5 ~
|
||||
: 1615 3 5 child
|
||||
: 1620 2 6 ~
|
||||
: 1623 1 6 o'
|
||||
: 1629 7 6 mine
|
||||
: 1637 11 5 ~
|
||||
- 1658
|
||||
: 1675 2 12 Whoah
|
||||
: 1678 20 13 ~
|
||||
: 1699 1 12 ~
|
||||
: 1701 5 13 ~
|
||||
: 1711 1 8 oh
|
||||
: 1713 4 10 ~
|
||||
: 1719 7 8 oh
|
||||
: 1727 3 8 oh
|
||||
: 1731 3 10 ~
|
||||
: 1736 1 8 ~
|
||||
- 1737
|
||||
: 1739 3 6 Sweet
|
||||
: 1743 1 5 ~
|
||||
: 1748 7 6 love
|
||||
* 1757 2 8 of
|
||||
: 1761 4 6 mine
|
||||
: 1766 1 5 ~
|
||||
: 1770 16 1 ~
|
||||
- 1803
|
||||
* 1829 8 8 Oh
|
||||
* 1842 4 10 oh
|
||||
* 1850 4 13 oh
|
||||
* 1858 2 13 oh
|
||||
* 1861 5 15 ~
|
||||
* 1867 1 13 ~
|
||||
- 1869
|
||||
: 1871 3 13 Sweet
|
||||
: 1875 1 10 ~
|
||||
: 1880 1 10 child
|
||||
: 1882 3 13 ~
|
||||
: 1886 1 10 ~
|
||||
: 1888 2 8 o'
|
||||
: 1892 2 8 mine
|
||||
: 1895 5 10 ~
|
||||
: 1901 2 13 ~
|
||||
: 1905 2 10 ~
|
||||
: 1909 9 8 ~
|
||||
- 1924
|
||||
: 1926 2 8 Ooh
|
||||
: 1929 4 10 ~
|
||||
: 1934 2 8 ~
|
||||
: 1937 3 5 ~
|
||||
: 1942 3 8 yeah
|
||||
: 1951 1 8 yeah
|
||||
: 1953 5 10 ~
|
||||
: 1959 2 8 ~
|
||||
- 1962
|
||||
: 1964 1 8 Ooh
|
||||
: 1966 7 10 ~
|
||||
: 1974 7 8 ~
|
||||
: 1982 7 6 ~
|
||||
: 1991 2 5 ooh
|
||||
: 1994 4 6 ~
|
||||
: 1999 1 5 ~
|
||||
- 2002
|
||||
: 2004 3 1 sweet
|
||||
: 2010 9 3 love
|
||||
: 2021 1 5 of
|
||||
: 2025 1 3 mine
|
||||
: 2027 1 5 ~
|
||||
: 2029 2 3 ~
|
||||
: 2032 25 1 ~
|
||||
- 2091
|
||||
: 3176 4 3 Where
|
||||
: 3181 3 1 do
|
||||
: 3185 2 -2 we
|
||||
: 3190 8 -4 go?
|
||||
- 3204
|
||||
: 3207 1 1 Where
|
||||
: 3209 4 3 ~
|
||||
: 3214 2 1 do
|
||||
: 3217 2 -2 we
|
||||
: 3221 6 -4 go
|
||||
: 3229 8 -6 now?
|
||||
- 3239
|
||||
: 3241 3 3 Where
|
||||
: 3245 3 1 do
|
||||
: 3249 2 -2 we
|
||||
: 3253 11 -4 go?
|
||||
- 3274
|
||||
: 3282 1 -4 Ooh
|
||||
: 3284 4 -2 ~
|
||||
: 3289 3 -4 oh
|
||||
: 3293 3 -2 ~
|
||||
: 3297 3 -4 oh
|
||||
: 3301 1 -6 ~
|
||||
- 3304
|
||||
: 3306 2 -2 Where
|
||||
: 3309 2 -4 do
|
||||
: 3312 2 -6 we
|
||||
: 3316 4 -2 go
|
||||
: 3321 4 -4 ~
|
||||
: 3326 6 -2 ~?
|
||||
- 3342
|
||||
: 3355 5 -4 Oh
|
||||
: 3362 7 -2 ~
|
||||
: 3370 2 -2 where
|
||||
: 3373 2 -2 do
|
||||
: 3376 2 -2 we
|
||||
: 3380 3 -4 go
|
||||
: 3384 1 -6 ~
|
||||
: 3387 13 -9 now?
|
||||
- 3410
|
||||
: 3430 1 -6 Where
|
||||
: 3433 1 -2 ~
|
||||
: 3435 2 -2 do
|
||||
: 3439 2 1 we
|
||||
: 3443 3 -4 go
|
||||
: 3447 8 -2 ~?
|
||||
- 3465
|
||||
: 3474 7 3 Ooh
|
||||
: 3483 12 1 oh
|
||||
: 3497 2 3 where
|
||||
: 3500 2 1 do
|
||||
: 3503 2 -2 we
|
||||
: 3507 6 -4 go
|
||||
: 3514 13 -6 now?
|
||||
- 3537
|
||||
: 3558 1 -4 ay
|
||||
: 3560 6 -2 ~
|
||||
: 3567 1 -4 ay
|
||||
: 3569 5 -2 ~
|
||||
: 3575 1 -4 ay
|
||||
: 3577 5 -2 ~
|
||||
: 3583 1 -4 ay
|
||||
: 3585 5 -2 ~
|
||||
: 3591 1 -4 ay
|
||||
: 3593 6 -2 ~
|
||||
: 3600 1 -4 ay
|
||||
: 3602 5 -2 ~
|
||||
: 3608 2 -4 ay
|
||||
: 3611 2 -2 ~
|
||||
- 3614
|
||||
: 3616 4 10 Oh
|
||||
: 3623 1 13 where
|
||||
: 3625 1 15 ~
|
||||
: 3627 3 13 do
|
||||
: 3631 3 10 we
|
||||
: 3635 6 8 go
|
||||
: 3643 5 6 now?
|
||||
- 3649
|
||||
* 3651 2 6 ah
|
||||
* 3655 2 10 ah
|
||||
* 3659 2 13 ah
|
||||
* 3663 2 10 ah
|
||||
* 3666 1 8 ah
|
||||
* 3668 2 10 ah
|
||||
* 3673 2 8 ah
|
||||
* 3676 2 6 oh
|
||||
* 3680 2 8 ah
|
||||
* 3683 1 6 oh
|
||||
- 3684
|
||||
: 3686 1 8 where
|
||||
: 3688 2 10 ~
|
||||
: 3691 2 8 do
|
||||
: 3695 2 6 we
|
||||
: 3699 1 8 go
|
||||
: 3701 11 10 ~?
|
||||
- 3719
|
||||
* 3722 2 13 ah
|
||||
* 3725 12 15 ~
|
||||
* 3738 8 13 ~
|
||||
* 3748 1 10 oh
|
||||
* 3752 2 15 where
|
||||
* 3756 2 13 do
|
||||
* 3760 2 10 we
|
||||
* 3764 7 8 go
|
||||
* 3772 10 6 now?
|
||||
- 3792
|
||||
: 3816 3 10 Where
|
||||
: 3821 2 10 do
|
||||
: 3825 2 13 we
|
||||
: 3829 1 8 go
|
||||
: 3831 4 10 ~
|
||||
: 3837 1 13 ~
|
||||
: 3841 2 10 ~
|
||||
: 3845 1 13 ~
|
||||
: 3849 1 10 ~
|
||||
: 3851 1 8 ~
|
||||
: 3853 1 10 ~
|
||||
: 3855 1 8 ~
|
||||
: 3857 1 10 ~
|
||||
: 3859 1 8 ~
|
||||
: 3861 2 10 ~
|
||||
: 3865 2 8 ~
|
||||
: 3868 3 6 ~
|
||||
: 3872 3 8 ~
|
||||
: 3876 2 6 ~?
|
||||
- 3879
|
||||
: 3881 2 10 where
|
||||
: 3884 1 8 do
|
||||
: 3886 1 10 ~
|
||||
: 3888 2 10 we
|
||||
: 3892 3 8 go
|
||||
: 3897 1 6 ~
|
||||
: 3901 11 3 now?
|
||||
- 3922
|
||||
: 3943 1 8 Where
|
||||
: 3945 2 10 ~
|
||||
: 3949 2 8 do
|
||||
: 3953 2 6 we
|
||||
: 3957 2 10 go
|
||||
: 3960 2 8 ~
|
||||
: 3963 10 10 ~?
|
||||
- 3983
|
||||
: 3990 8 10 Whoah
|
||||
: 4000 3 13 ~
|
||||
: 4004 3 10 ~
|
||||
: 4008 3 10 where
|
||||
: 4012 3 13 do
|
||||
: 4017 2 10 we
|
||||
: 4021 5 8 go
|
||||
: 4028 10 6 now?
|
||||
- 4039
|
||||
* 4041 3 15 no
|
||||
* 4046 3 13 no
|
||||
* 4051 4 10 no
|
||||
* 4057 3 9 no
|
||||
* 4062 3 8 no
|
||||
* 4067 3 6 no
|
||||
* 4072 9 3 no
|
||||
- 4087
|
||||
: 4090 3 8 sweet
|
||||
: 4094 2 10 ~
|
||||
: 4101 3 8 child
|
||||
: 4105 2 6 ~
|
||||
: 4109 7 3 ~
|
||||
- 4122
|
||||
: 4124 3 10 sweet
|
||||
: 4128 1 8 ~
|
||||
: 4130 3 10 ~
|
||||
: 4137 3 10 child
|
||||
: 4142 2 13 ~
|
||||
: 4145 4 10 ~
|
||||
: 4150 2 13 ~
|
||||
: 4153 4 10 ~
|
||||
: 4158 1 8 ~
|
||||
: 4160 2 10 ~
|
||||
: 4163 2 8 ~
|
||||
: 4166 3 6 ~
|
||||
: 4171 2 10 ~
|
||||
: 4175 2 13 ~
|
||||
: 4179 3 10 ~
|
||||
: 4183 4 13 ~
|
||||
: 4188 4 15 ~
|
||||
: 4194 2 13 ~
|
||||
: 4199 1 10 ~
|
||||
- 4200
|
||||
: 4202 1 8 o'
|
||||
: 4204 2 10 ~
|
||||
: 4208 2 8 mine
|
||||
: 4211 2 6 ~
|
||||
: 4214 46 3 ~
|
||||
: 4262 33 1 ~
|
||||
: 4297 49 3 ~
|
||||
E
|
||||
+17
-17
@@ -7,7 +7,7 @@ from songtrace.lyrics import normalize_lyrics
|
||||
from songtrace.pipeline import Ctx, PipelineError, SongInput
|
||||
from songtrace.stages import align
|
||||
|
||||
LYRICS = "she's got a smile\nthat it seems to me"
|
||||
LYRICS = "it's one two three\nfour five six seven eight"
|
||||
|
||||
|
||||
def make_ctx(tmp_path, lyrics=LYRICS, transcript=None):
|
||||
@@ -15,7 +15,7 @@ def make_ctx(tmp_path, lyrics=LYRICS, transcript=None):
|
||||
work.mkdir(exist_ok=True)
|
||||
if transcript is None:
|
||||
transcript = [{"start": 1.0, "end": 4.0,
|
||||
"text": "she's got a smile that it seems to me"}]
|
||||
"text": "it's one two three four five six seven eight"}]
|
||||
(work / "transcript.json").write_text(json.dumps(transcript))
|
||||
inp = SongInput(title="T", artist="A", lyrics_text=lyrics)
|
||||
return Ctx(inp=inp, cfg=Config(whisper_url="u", device="cpu"),
|
||||
@@ -49,7 +49,7 @@ def check_invariants(rows, lyrics):
|
||||
def test_alignment_covers_all_words(tmp_path, monkeypatch):
|
||||
rows = run_align(tmp_path, monkeypatch)
|
||||
assert [r["word"] for r in rows] == \
|
||||
["she's", "got", "a", "smile", "that", "it", "seems", "to", "me"]
|
||||
["it's", "one", "two", "three", "four", "five", "six", "seven", "eight"]
|
||||
assert rows[0]["line_index"] == 0 and rows[-1]["line_index"] == 1
|
||||
starts = [r["start"] for r in rows]
|
||||
assert starts == sorted(starts)
|
||||
@@ -63,18 +63,18 @@ def test_mismatched_lyrics_fail(tmp_path, monkeypatch):
|
||||
|
||||
|
||||
def test_unalignable_word_interpolated(tmp_path, monkeypatch):
|
||||
lyrics = "she's got ... smile\nthat it seems to me"
|
||||
lyrics = "it's one ... three\nfour five six seven eight"
|
||||
rows = run_align(tmp_path, monkeypatch, lyrics)
|
||||
dots = next(r for r in rows if r["word"] == "...")
|
||||
assert dots["score"] == 0.0
|
||||
prev = next(r for r in rows if r["word"] == "got")
|
||||
nxt = next(r for r in rows if r["word"] == "smile")
|
||||
prev = next(r for r in rows if r["word"] == "one")
|
||||
nxt = next(r for r in rows if r["word"] == "three")
|
||||
assert prev["end"] <= dots["start"] <= dots["end"] <= nxt["start"] + 1e-6
|
||||
check_invariants(rows, lyrics)
|
||||
|
||||
|
||||
def test_leading_unalignable_word(tmp_path, monkeypatch):
|
||||
lyrics = "... got a smile\nthat it seems to me"
|
||||
lyrics = "... one two three\nfour five six seven eight"
|
||||
rows = run_align(tmp_path, monkeypatch, lyrics)
|
||||
assert rows[0]["word"] == "..." and rows[0]["score"] == 0.0
|
||||
assert rows[0]["start"] >= 0.0
|
||||
@@ -83,7 +83,7 @@ def test_leading_unalignable_word(tmp_path, monkeypatch):
|
||||
|
||||
|
||||
def test_trailing_unalignable_word(tmp_path, monkeypatch):
|
||||
lyrics = "she's got a smile\nthat it seems to ..."
|
||||
lyrics = "it's one two three\nfour five six seven ..."
|
||||
rows = run_align(tmp_path, monkeypatch, lyrics)
|
||||
assert rows[-1]["word"] == "..." and rows[-1]["score"] == 0.0
|
||||
assert rows[-2]["end"] <= rows[-1]["start"]
|
||||
@@ -91,7 +91,7 @@ def test_trailing_unalignable_word(tmp_path, monkeypatch):
|
||||
|
||||
|
||||
def test_consecutive_unalignable_words(tmp_path, monkeypatch):
|
||||
lyrics = "she's got ... ... smile\nthat it seems to me"
|
||||
lyrics = "it's one ... ... three\nfour five six seven eight"
|
||||
rows = run_align(tmp_path, monkeypatch, lyrics)
|
||||
dots = [r for r in rows if r["word"] == "..."]
|
||||
assert len(dots) == 2
|
||||
@@ -113,8 +113,8 @@ def test_all_words_unalignable_in_section(tmp_path, monkeypatch):
|
||||
|
||||
|
||||
def test_non_chronological_transcript(tmp_path, monkeypatch):
|
||||
transcript = [{"start": 30.0, "end": 33.0, "text": "that it seems to me"},
|
||||
{"start": 1.0, "end": 4.0, "text": "she's got a smile"}]
|
||||
transcript = [{"start": 30.0, "end": 33.0, "text": "four five six seven eight"},
|
||||
{"start": 1.0, "end": 4.0, "text": "it's one two three"}]
|
||||
rows = run_align(tmp_path, monkeypatch, transcript=transcript)
|
||||
check_invariants(rows, LYRICS)
|
||||
assert len({r["start"] for r in rows}) == len(rows)
|
||||
@@ -131,8 +131,8 @@ def test_inverted_section_does_not_collapse(tmp_path, monkeypatch):
|
||||
|
||||
|
||||
def test_words_split_across_sections(tmp_path, monkeypatch):
|
||||
transcript = [{"start": 1.0, "end": 4.0, "text": "she's got a smile"},
|
||||
{"start": 30.0, "end": 33.0, "text": "that it seems to me"}]
|
||||
transcript = [{"start": 1.0, "end": 4.0, "text": "it's one two three"},
|
||||
{"start": 30.0, "end": 33.0, "text": "four five six seven eight"}]
|
||||
rows = run_align(tmp_path, monkeypatch, transcript=transcript)
|
||||
check_invariants(rows, LYRICS)
|
||||
assert rows[3]["end"] <= 5.0
|
||||
@@ -140,9 +140,9 @@ def test_words_split_across_sections(tmp_path, monkeypatch):
|
||||
|
||||
|
||||
def test_align_drops_lines_never_sung(tmp_path, monkeypatch):
|
||||
lyrics = "she's got a smile\nthat it seems to me\nbut then it fades away"
|
||||
lyrics = "it's one two three\nfour five six seven eight\nnine ten eleven twelve"
|
||||
transcript = [{"start": 1.0, "end": 4.0,
|
||||
"text": "she's got a smile that it seems to me"}]
|
||||
"text": "it's one two three four five six seven eight"}]
|
||||
rows = run_align(tmp_path, monkeypatch, lyrics, transcript)
|
||||
assert {r["line_index"] for r in rows} == {0, 1}
|
||||
meta = json.loads((tmp_path / "w" / "align_meta.json").read_text())
|
||||
@@ -151,9 +151,9 @@ def test_align_drops_lines_never_sung(tmp_path, monkeypatch):
|
||||
|
||||
|
||||
def test_align_flags_missing_span_for_unmatched_singing(tmp_path, monkeypatch):
|
||||
lyrics = "she's got a smile\nthat it seems to me"
|
||||
lyrics = "it's one two three\nfour five six seven eight"
|
||||
transcript = [
|
||||
{"start": 1.0, "end": 4.0, "text": "she's got a smile that it seems to me"},
|
||||
{"start": 1.0, "end": 4.0, "text": "it's one two three four five six seven eight"},
|
||||
{"start": 20.0, "end": 23.0, "text": "completely unrelated ad lib bridge"},
|
||||
]
|
||||
run_align(tmp_path, monkeypatch, lyrics, transcript)
|
||||
|
||||
@@ -1,22 +1,22 @@
|
||||
from songtrace.lyrics import normalize_lyrics, alignment_token
|
||||
|
||||
RAW = """[Verse 1]
|
||||
She's got a smile
|
||||
It's one two three
|
||||
|
||||
[Chorus]
|
||||
Whoa, sweet child o' mine
|
||||
Take me down to 7 streets
|
||||
Whoa, la la o' la
|
||||
Count me up to 7 times
|
||||
"""
|
||||
|
||||
|
||||
def test_normalize_strips_sections_and_blanks():
|
||||
ref = normalize_lyrics(RAW)
|
||||
assert ref.lines == [
|
||||
["She's", "got", "a", "smile"],
|
||||
["Whoa,", "sweet", "child", "o'", "mine"],
|
||||
["Take", "me", "down", "to", "7", "streets"],
|
||||
["It's", "one", "two", "three"],
|
||||
["Whoa,", "la", "la", "o'", "la"],
|
||||
["Count", "me", "up", "to", "7", "times"],
|
||||
]
|
||||
assert ref.words[0] == "She's"
|
||||
assert ref.words[0] == "It's"
|
||||
assert ref.word_line_index == [0, 0, 0, 0, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2]
|
||||
|
||||
|
||||
|
||||
+9
-9
@@ -78,7 +78,7 @@ def test_syllabify():
|
||||
assert syllabify("reminds", "English") == ["re", "minds"]
|
||||
assert syllabify("a", "English") == ["a"]
|
||||
assert syllabify("xyzzy", None) == ["xyzzy"]
|
||||
assert syllabify("She's", "English") == ["She's"]
|
||||
assert syllabify("It's", "English") == ["It's"]
|
||||
|
||||
|
||||
def test_syllabify_preserves_word_characters():
|
||||
@@ -96,12 +96,12 @@ def test_syllabify_language_without_pyphen_dict_is_not_mishandled_as_english():
|
||||
def test_build_notes_basic_line():
|
||||
times, f0, conf = flat_pitch()
|
||||
rows = [
|
||||
{"word": "She's", "start": 1.0, "end": 1.5, "score": 0.9, "line_index": 0},
|
||||
{"word": "It's", "start": 1.0, "end": 1.5, "score": 0.9, "line_index": 0},
|
||||
{"word": "got", "start": 1.6, "end": 2.0, "score": 0.9, "line_index": 0},
|
||||
{"word": "Now", "start": 5.0, "end": 5.5, "score": 0.9, "line_index": 1},
|
||||
]
|
||||
notes, breaks, warnings = build_notes(rows, times, f0, conf, "English")
|
||||
assert notes[0].text == "She's" # line-initial: no leading space
|
||||
assert notes[0].text == "It's" # line-initial: no leading space
|
||||
assert notes[1].text == " got" # mid-line: leading space
|
||||
assert notes[2].text == "Now" # new line: no leading space
|
||||
assert len(breaks) == 1 and 2.0 <= breaks[0] <= 5.0
|
||||
@@ -225,8 +225,8 @@ def test_build_notes_short_multisyllable_word_does_not_overlap():
|
||||
def test_build_notes_never_overlaps_on_dense_input():
|
||||
rng = np.random.default_rng(11)
|
||||
times = np.arange(0, 40.0, 0.01)
|
||||
words = ["She's", "got", "a", "beautiful", "smile", "reminds", "me",
|
||||
"everything", "I", "lost", "yesterday", "oh"]
|
||||
words = ["We", "count", "a", "beautiful", "number", "reminds", "us",
|
||||
"everything", "we", "listed", "yesterday", "oh"]
|
||||
for _ in range(8):
|
||||
f0 = 220.0 * 2 ** (rng.integers(0, 12, len(times)) // 3 / 12.0)
|
||||
conf = np.where(rng.random(len(times)) < 0.9, 0.9, 0.1)
|
||||
@@ -244,8 +244,8 @@ def test_build_notes_starts_are_non_decreasing():
|
||||
times = np.arange(0, 12.0, 0.01)
|
||||
f0 = 220.0 * 2 ** (np.floor(times * 2) % 5 / 12.0) # stepped melody
|
||||
conf = np.where((times % 3.0) < 2.6, 0.9, 0.1) # unvoiced gaps
|
||||
words = ["She's", "got", "a", "beautiful", "smile", "that",
|
||||
"reminds", "me", "of", "everything", "I", "lost"]
|
||||
words = ["We", "count", "a", "beautiful", "number", "that",
|
||||
"reminds", "us", "of", "everything", "we", "list"]
|
||||
rows = []
|
||||
for i, w in enumerate(words):
|
||||
dur = 0.8 if i % 3 else 0.07 # every third word sung very fast
|
||||
@@ -278,7 +278,7 @@ def test_notes_stage_writes_json(tmp_path):
|
||||
times, f0, conf = flat_pitch()
|
||||
np.savez(work / "pitch.npz", times=times, f0=f0, conf=conf)
|
||||
(work / "alignment.json").write_text(json.dumps([
|
||||
{"word": "She's", "start": 1.0, "end": 1.5, "score": 0.9, "line_index": 0},
|
||||
{"word": "It's", "start": 1.0, "end": 1.5, "score": 0.9, "line_index": 0},
|
||||
{"word": "gone", "start": 3.0, "end": 3.5, "score": 0.9, "line_index": 1},
|
||||
]))
|
||||
ctx = Ctx(inp=SongInput(title="T", artist="A", lyrics_text="x", language="English"),
|
||||
@@ -287,7 +287,7 @@ def test_notes_stage_writes_json(tmp_path):
|
||||
assert stage.outputs(ctx) == [work / "notes_sec.json"]
|
||||
stage.run(ctx)
|
||||
data = json.loads((work / "notes_sec.json").read_text())
|
||||
assert [n["text"] for n in data["notes"]] == ["She's", "gone"]
|
||||
assert [n["text"] for n in data["notes"]] == ["It's", "gone"]
|
||||
assert data["breaks"] == [2.25]
|
||||
assert data["warnings"] == []
|
||||
assert TimedNote(**data["notes"][0]).pitch == 0
|
||||
|
||||
+12
-12
@@ -18,35 +18,35 @@ def test_vocal_sections_keeps_contained_segment():
|
||||
assert sections == [(0.0, 11.0)]
|
||||
|
||||
def test_similarity_high_for_matching_lyrics():
|
||||
ref = normalize_lyrics("she's got a smile\nthat it seems to me")
|
||||
segs = [seg(0, 2, "She's got a smile"), seg(2, 4, "that it seems to me")]
|
||||
ref = normalize_lyrics("it's one two three\nfour five six seven eight")
|
||||
segs = [seg(0, 2, "It's one two three"), seg(2, 4, "four five six seven eight")]
|
||||
assert lyrics_similarity(segs, ref) > 0.9
|
||||
|
||||
def test_similarity_low_for_wrong_lyrics():
|
||||
ref = normalize_lyrics("completely different words here entirely")
|
||||
segs = [seg(0, 2, "she's got a smile that it seems to me")]
|
||||
segs = [seg(0, 2, "it's one two three four five six seven eight")]
|
||||
assert lyrics_similarity(segs, ref) < 0.4
|
||||
|
||||
def test_classify_lyrics_match_flags_extra_reference_line():
|
||||
ref = normalize_lyrics("she's got a smile\nthat it seems to me\nbut then it fades")
|
||||
segs = [seg(1, 4, "she's got a smile that it seems to me")]
|
||||
ref = normalize_lyrics("it's one two three\nfour five six seven eight\nnine ten eleven")
|
||||
segs = [seg(1, 4, "it's one two three four five six seven eight")]
|
||||
dropped, missing = classify_lyrics_match(segs, ref)
|
||||
assert dropped == [2]
|
||||
assert missing == []
|
||||
|
||||
def test_classify_lyrics_match_flags_unmatched_singing():
|
||||
ref = normalize_lyrics("she's got a smile\nthat it seems to me")
|
||||
segs = [seg(1, 4, "she's got a smile that it seems to me"),
|
||||
ref = normalize_lyrics("it's one two three\nfour five six seven eight")
|
||||
segs = [seg(1, 4, "it's one two three four five six seven eight"),
|
||||
seg(20, 23, "completely unrelated ad lib bridge")]
|
||||
dropped, missing = classify_lyrics_match(segs, ref)
|
||||
assert dropped == []
|
||||
assert missing == [(19.0, 24.0)]
|
||||
|
||||
def test_classify_lyrics_match_keeps_partially_matched_lines():
|
||||
ref = normalize_lyrics("she's got a smile\nthat it seems to me")
|
||||
# line 1 heard with one word garbled ("it" -> "bit"): still a replace/equal
|
||||
ref = normalize_lyrics("it's one two three\nfour five six seven eight")
|
||||
# line 1 heard with one word garbled ("five" -> "fife"): still a replace/equal
|
||||
# match, so the line stays matched rather than dropped
|
||||
segs = [seg(1, 4, "she's got a smile that bit seems to me")]
|
||||
segs = [seg(1, 4, "it's one two three four fife six seven eight")]
|
||||
dropped, _ = classify_lyrics_match(segs, ref)
|
||||
assert dropped == []
|
||||
|
||||
@@ -54,8 +54,8 @@ def test_classify_lyrics_match_scopes_missing_span_to_adlib_not_whole_section():
|
||||
# matched line and an unmatched ad-lib close enough together that
|
||||
# vocal_sections would merge them into one section; missing_spans must
|
||||
# stay tight around the ad-lib so the review marks the right place.
|
||||
ref = normalize_lyrics("she's got a smile\nthat it seems to me")
|
||||
segs = [seg(1, 4, "she's got a smile that it seems to me"),
|
||||
ref = normalize_lyrics("it's one two three\nfour five six seven eight")
|
||||
segs = [seg(1, 4, "it's one two three four five six seven eight"),
|
||||
seg(6, 8, "completely unrelated ad lib")]
|
||||
sections = vocal_sections(segs)
|
||||
assert sections == [(0.0, 9.0)] # confirms the two segments do merge
|
||||
|
||||
@@ -10,8 +10,8 @@ def load(name):
|
||||
return (FIXTURES / name).read_text(encoding="utf-8", errors="replace")
|
||||
|
||||
def test_parse_headers_and_notes():
|
||||
song = parse_ultrastar(load("sanctuary.txt"))
|
||||
assert get_header(song, "artist") == "Utada Hikaru"
|
||||
song = parse_ultrastar(load("chart_crlf.txt"))
|
||||
assert get_header(song, "artist") == "Test Artist"
|
||||
assert parse_bpm(get_header(song, "BPM")) == 217.98
|
||||
first = song.body[0]
|
||||
assert first == Note(kind=":", beat=0, length=3, pitch=16, text="ah")
|
||||
@@ -19,16 +19,16 @@ def test_parse_headers_and_notes():
|
||||
assert any(n.kind == "F" for n in song.body if isinstance(n, Note))
|
||||
|
||||
def test_note_text_keeps_leading_space():
|
||||
song = parse_ultrastar(load("sanctuary.txt"))
|
||||
song = parse_ultrastar(load("chart_crlf.txt"))
|
||||
notes = [n for n in song.body if isinstance(n, Note)]
|
||||
assert notes[1].text == " ah"
|
||||
|
||||
def test_negative_pitch():
|
||||
song = parse_ultrastar(load("sweet_child.txt"))
|
||||
song = parse_ultrastar(load("chart_latin1.txt"))
|
||||
assert any(n.pitch == -9 for n in song.body if isinstance(n, Note))
|
||||
|
||||
def test_round_trip():
|
||||
for name in ("sweet_child.txt", "sanctuary.txt"):
|
||||
for name in ("chart_latin1.txt", "chart_crlf.txt"):
|
||||
song = parse_ultrastar(load(name))
|
||||
again = parse_ultrastar(serialize_ultrastar(song))
|
||||
assert again == song
|
||||
|
||||
Reference in New Issue
Block a user