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"size": 4, "shape": [ 48, 128 ], "total_size": 6144}*/// for convenience, these are extracted from metadata:data.dtype// "data.shape// (2) [48, 128]// data are loaded into a matching TypedArray in javascript if one exists, otherwise raw bytes are returned (there is no Float16Array, for instance). In this case the matching type is Int32Arraydata.value/*Int32Array(6144) [0, 0, 0, 2, 2, 2, 3, 1, 1, 7, 3, 5, 7, 8, 9, 21, 43, 38, 47, 8, 8, 7, 3, 6, 1, 7, 3, 7, 47, 94, 91, 99, 76, 81, 86, 112, 98, 103, 85, 100, 83, 122, 111, 123, 136, 129, 134, 164, 130, 164, 176, 191, 200, 211, 237, 260, 304, 198, 32, 9, 5, 2, 6, 5, 8, 6, 25, 219, 341, 275, 69, 11, 4, 5, 5, 45, 151, 154, 141, 146, 108, 107, 105, 113, 99, 101, 96, 84, 86, 77, 78, 107, 73, 80, 105, 65, 75, 79, 62, 31, …]*/// take a slice from 0:10 on axis 0, keeping all of axis 1:// (slicing is done through libhdf5 instead of in the javascript library - should be very efficient)data.slice([[0,10],[]])/*Int32Array(1280) [0, 0, 0, 2, 2, 2, 3, 1, 1, 7, 3, 5, 7, 8, 9, 21, 43, 38, 47, 8, 8, 7, 3, 6, 1, 7, 3, 7, 47, 94, 91, 99, 76, 81, 86, 112, 98, 103, 85, 100, 83, 122, 111, 123, 136, 129, 134, 164, 130, 164, 176, 191, 200, 211, 237, 260, 304, 198, 32, 9, 5, 2, 6, 5, 8, 6, 25, 219, 341, 275, 69, 11, 4, 5, 5, 45, 151, 154, 141, 146, 108, 107, 105, 113, 99, 101, 96, 84, 86, 77, 78, 107, 73, 80, 105, 65, 75, 79, 62, 31, …]*/// Convert to nested Array, with JSON-compatible elements:data.to_array()/*[ [ 0, 0, 0, 2, 2, 2, 3, 1, 1, 7, 3, 5, 7, 8, 9, 21, 43, 38, 47, 8, 8, 7, 3, 6, 1, 7, 3, 7, 47, 94, 91, 99, 76, 81, 86, 112, 98, 103, 85, 100, 83, 122, 111, 123, 136, 129, 134, 164, 130, 164, 176, 191, 200, 211, 237, 260, 304, 198, 32, 9, 5, 2, 6, 5, 8, 6, 25, 219, 341, 275, 69, 11, 4, 5, 5, 45, 151, 154, 141, 146, 108, 107, 105, 113, 99, 101, 96, 84, 86, 77, 78, 107, 73, 80, 105, 65, 75, 79, 62, 31, ... 28 more items ], [ 0, 0, 2, 2, Recommended as it can be used to convert both protected video and protected audio files.2. Tunebite works better for converting audiobooks. Microsoft edge 79 0 309 15 bolum. I have once used another DRM removal tool to convert an audioobook downloaded from iTunes and found the output was divided into several parts. However, using Tunebite, this problem was not found.ThunderSoft DRM Protection is a DRM solution for video/audio/image files. DRM protected media files can prevent illegal copying and distribution, unauthorized users can not open them. Authorization key can be binding with end user's hardware, one device one key, specify its time interval and also blacklist feature included.Runs on: Windows 10 32/64 bit Windows 2003 Windows 8 32/64 bit Windows 7 32/64 bit Windows Vista 32/64 bit Windows XP Windows 2K file size: 43.1 MB filename: freedrmremoval.zip.3. The Mac apps for removing DRM are very rare and I find Tune4Mac iTunes Video Converter is a pretty good one. As its name indicates, you can only use it to remove DRM from iTunes video and convert iTunes video from M4V to other (DRM free) video format. Yet, it is well worth a try if you have lots of iTunes movies and TV shows which you'd like to transfer to mobile devices other than iPod, iPad and iPhone. To remove DRM from iTunes music, you may get Tune4Mac iTunes Audio Converter.Aerea 1 0 – action & rpg game. ThunderSoft DRM Removal does NOT allow us to play Apple-DRM-protected media that we cannot play.Apple

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25 NYM NL -0.2 92 352 314 36 65 20 1 9 45 2 0 30 54 .207 .274 .363 .637 74 .297 72 114 4 1 1 6 2 6/H 1991 26 NYM NL 1.2 115 394 348 33 84 16 2 6 36 2 3 40 53 .241 .318 .351 .669 89 .301 81 122 4 1 1 4 6 6H 1992 27 NYM NL -0.1 6 18 18 0 4 0 0 0 0 0 0 0 2 .222 .222 .222 .444 27 .202 7 4 1 0 0 0 0 /6H 1994 29 NYY AL -0.5 7 22 20 0 0 0 0 0 0 0 0 1 6 .000 .048 .000 .048 -86 .035 -121 0 0 0 1 0 0 /6 1995 30 2TM 2LG -0.1 36 83 70 11 13 5 1 1 9 0 0 8 19 .186 .272 .329 .600 58 .276 50 23 1 1 2 2 1 6/3H54 1995 30 NYY AL -0.3 10 18 17 1 2 1 0 0 0 0 0 1 5 .118 .167 .176 .343 -10 .161 -28 3 0 0 0 0 0 6/4 1995 30 PHI NL 0.1 26 65 53 10 11 4 1 1 9 0 0 7 14 .208 .302 .377 .679 79 .309 74 20 1 1 2 2 1 6/3H5 1996 31 TEX AL 1.4 157 596 515 79 130 32 2 24 99 4 1 52 138 .252 .317 .462 .779 90 .335 80 238 8 2 16 11 1 *6 1997 32 PIT NL 0.0 39 164 138 14 31 6 2 7 25 0 2 21 39 .225 .327 .449 .776 99 .352 104 62 1 1 2 2 0 6 1998 33 TEX AL 0.3 84 336 297 33 69 10 1 8 37 0 2 33 66 .232 .311 .354 .665 70 .311 72 105 7 2 2 2 0 6 1999 Did not play - Did Not Play 2000 35 LAD NL 0.5 80 259 220 29 50 8 0 14 32 0 0 38 52 .227 .341 .455 .796 104 .346 98 100 0 0 1 0 5 6H/53 13 Yrs 6.2 940 3225 2844 332 648 136 12 88 376 14 11 295 562 .228 .300 .377 .677 83 .307 77 1072 45 13 38 35 39 6H5/34 162 Game Avg 1.1 162 556 490 57 112 23 2 15 65 2 2 51 97 .228 .300 .377 .677 83 .307 77 185 8 2 7 6 7 NYM (7 Yrs) 4.6 537 1765 1584 166 355 75 6 34 174 10 6 142 242 .224 .288 .343 .631 81 .291 76 544 28 7 14 18 32 6H TEX (2 Yrs) 1.7 241 932 812 112 199 42 3 32 136 4 3 85 204 .245 .315 .422 .738 83 .326 77 343 15 4 18 13 1 *6 NYY (2 Yrs) -0.8 17 40 37 1 2 1 0 0 0 0 0 2 11 .054 .103 NAME FOW% FO SEASON TM GP G A P +/- PIM PPG PPA SHG SHA GWG OTG S S% FOW HIT BKS TKA GVA TOI/GP 1 Jonathan Toews J. Toews 63.1 941 2022-23 CHI 53 15 16 31 -31 43 9 3 0 0 1 1 87 17.2 594 9 23 37 42 17:43 2 Patrice Bergeron P. Bergeron 61.1 1,706 2022-23 BOS 78 27 31 58 +35 22 9 10 2 0 7 0 249 10.8 1,043 66 54 38 21 17:24 3 Michael McLeod M. McLeod 60.6 968 2022-23 NJD 80 4 22 26 +6 43 0 0 0 1 1 0 90 4.4 587 127 51 31 29 12:15 4 Jamie Benn J. Benn 60.1 865 2022-23 DAL 82 33 45 78 +23 34 13 17 2 1 4 0 190 17.4 520 97 38 55 48 15:47 5 Jeff Carter J. Carter 59.4 938 2022-23 PIT 79 13 16 29 -16 30 4 5 0 1 2 1 139 9.4 557 80 54 26 33 13:42 6 Tomas Nosek T. Nosek 59.3 597 2022-23 BOS 66 7 11 18 +9 48 0 0 2 0 1 0 69 10.1 354 69 31 20 22 12:33 7 Ryan Johansen R. Johansen 59.2 848 2022-23 NSH 55 12 16 28 -13 32 5 5 0 0 1 1 86 14.0 502 49 19 20 21 15:46 8 Luke Glendening L. Glendening 59.0 608 2022-23 DAL 70 3 3 6 -9 50 0 0 2 0 0 0 65 4.6 359 114 60 11 8 12:04 9 John Tavares J. Tavares 58.3 1,245 2022-23 TOR 80 36 44 80 -7 34 18 21 0 0 9 1 277 13.0 726 112 36 46 54 17:39 10 Claude Giroux C. Giroux 58.3 1,221 2022-23 OTT 82 35 44 79 +4

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7% 2% 9 Xerxes 24 2.3 2.4 96% 83% 71% 54% 38% 21% 4% 4% 0% 0% 10 Aladdin 38 2 2 95% 79% 58% 32% 21% 16% 3% 0% 0% 0% 11 Lucas 48 2.2 2 94% 83% 63% 40% 23% 8% 8% 4% 2% 0% 12 Delpiero 46 1.2 2.3 91% 70% 43% 22% 17% 9% 2% 0% 0% 0% 13 Pele 40 2 1.7 88% 68% 53% 33% 20% 8% 5% 3% 0% 0% 14 Nio 39 1.5 1.7 85% 59% 46% 21% 13% 5% 0% 0% 0% 0% 15 val 39 1.6 1.6 79% 62% 41% 26% 15% 5% 0% 0% 0% 0% 16 Drake 3 2 2.7 67% 67% 67% 67% 33% 33% 33% 0% 0% 0% 17 Spartacus 2 2.5 0.5 50% 50% 50% 50% 0% 0% 0% 0% 0% 0% Esoccer GT Leagues - 12 mins play Schedule and Results start time Home Score Away Handicap Corner HT Corner Asian Corn. Corner O/U Goals Goals O/U Attack Shots Analysis March 2025 03/24 03:00 Real Madrid (Aladdin) 0 - 0 Inter (Pele) +1.0 0 - 0 0 - 0 4.5, 5.0 - - 03/24 02:45 11 ' Real Madrid (Aladdin) 3 - 2 Arsenal (val) 0.0 0 - 1 0 - 0 4.5 31 - 33 3 - 2 03/24 02:45 11 ' Inter (Pele) 2 - 0 Bayern (Nio) 0.0 2 - 5 1 - 3 4.0 31 - 28 2 - 03/24 02:30 Full Inter (Pele) 0 - 1 Arsenal (val) 0.0,

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Born: 5/28/1999 (age 25) Bats/Throws: R/R Ht/Wt: 187cm (6'2") / 95kg (209lb) Signing Bonus: ~$250,000 Annual Salary: ~$317,000 Year Team ERA WHIP W L SV H BSV G GS CG(SHO) QS TBF NP IP R ER H 2B 3B HR SO BB IBB HB WP BK 2024 Doosan 4.24 1.30 15 9 0 0 0 30 31 0 (0) 17 716 2892 167 ⅔ 83 79 142 29 1 11 154 76 0 6 11 1 2023 Doosan 2.90 1.21 12 7 0 0 0 23 24 0 (0) 13 526 2229 127 ⅓ 44 41 96 18 1 7 106 58 0 5 4 1 2022 Doosan 3.78 1.37 8 9 0 0 0 27 27 0 (0) 10 645 2565 147 ⅔ 69 62 143 30 0 13 138 60 1 11 9 1 2021 Doosan 4.10 1.59 4 7 0 0 0 21 21 0 (0) 1 455 1877 98 ⅔ 50 45 78 17 3 7 96 79 0 12 6 1 2018 Doosan 7.55 1.97 3 1 1 4 2 32 0 0 (0) 0 154 626 31 26 26 44 10 0 6 26 17 0 3 0 0 Career 3.98 1.39 42 33 1 4 133 0 (0) 2496 572 ⅓ 272 253 503 44 520 290 37 Compare vs. Other Pitchers » Most Recent Games Date Opp Role Dec ERA WHIP IP NP R ER H HR SO BB HB WP --> GS 10/2 KT SP L 36.00 7.00 1 36 4 4 5 0 1 2 0 0 --> 26 9/26 @Lotte SP W 0.00 1.00 6 90 0 0 4 0 7 2 1 0 --> 68 9/21 @LG SP W 11.81 2.06 5 ⅓ 99 7 7 9 1 2 2 0 0 --> 22 9/14 KT SP W 0.00 1.40 5 90 1 0 2 0 5 5 0 0 --> 61 9/7 @KT SP W 1.50 1.17 6 98 1 1 4 0 4 3 0 0 --> 61 8/31 Lotte SP L 10.80 1.60 5 91 6 6 7 1 3 1 1 0 --> 30 8/24 Hanwha SP 5.68 0.79 6 ⅓ 102 4 4 5 1 9 0 1 0 --> 55 8/17 @KT SP W 2.35 0.91 7 ⅔ 110 2 2 5 0 4 2 0 0 --> 63 8/11 @SSG SP L 27.00 4.00 2 61 6 6 6 1 2. Itubedownloader 6 3 0 Airy Pro 3 7 205 – Video Downloader Full Export For Itunes 1 9 74 Bookends 13 2 3d Movist Pro 2 1 32 Iphone Data Recovery 6 8 0 0 Download Free Avenza

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34 7 17 0 1 6 1 214 16.4 712 75 30 52 32 18:48 11 Chandler Stephenson C. Stephenson 58.1 1,162 2022-23 VGK 81 16 49 65 +12 26 6 9 1 2 5 0 120 13.3 675 74 56 64 30 19:01 12 Paul Stastny P. Stastny 57.6 486 2022-23 CAR 73 9 13 22 +4 16 2 2 0 0 3 0 80 11.3 280 21 18 20 8 11:52 13 Jean-Gabriel Pageau J. Pageau 57.2 1,256 2022-23 NYI 70 13 27 40 -2 14 5 3 3 1 2 0 123 10.6 719 175 61 33 35 17:37 14 Mark Kastelic M. Kastelic 56.9 590 2022-23 OTT 65 7 4 11 -6 102 0 0 0 0 2 0 73 9.6 336 154 37 19 15 8:54 15 Bo Horvat B. Horvat 56.9 1,685 2022-23 TOT 79 38 32 70 -1 18 12 10 4 1 5 1 229 16.6 958 57 55 38 37 20:39 16 Ross Colton R. Colton 56.1 189 2022-23 TBL 81 16 16 32 -8 50 4 5 0 0 3 0 153 10.5 106 188 28 38 20 12:21 17 Vincent Trocheck V. Trocheck 56.1 1,286 2022-23 NYR 82 22 42 64 +3 58 9 8 0 0 3 0 225 9.8 721 182 44 55 64 19:19 18 Radek Faksa R. Faksa 56.0 552 2022-23 DAL 81 11 9 20 +9 39 0 0 1 1 3 0 88 12.5 309 89 69 26 18 13:43 19 Anze Kopitar A. Kopitar 55.9 1,608 2022-23 LAK 82 28 46 74 +20 4 7 13 0 1 4 0 169 16.6 899 68 87 46 49 20:18 20 Nico Sturm N. Sturm 55.8 880 2022-23 SJS 74 14 12 26 -13 23 0 0 1 0 1 0 119 11.8 491