1 /* KlattTable.cpp 2 * 3 * Copyright (C) 2008-2020 David Weenink 4 * 5 * This code is free software; you can redistribute it and/or modify 6 * it under the terms of the GNU General Public License as published by 7 * the Free Software Foundation; either version 2 of the License, or (at 8 * your option) any later version. 9 * 10 * This code is distributed in the hope that it will be useful, but 11 * WITHOUT ANY WARRANTY; without even the implied warranty of 12 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU 13 * General Public License for more details. 14 * 15 * You should have received a copy of the GNU General Public License 16 * along with this work. If not, see <http://www.gnu.org/licenses/>. 17 */ 18 19 /* The README file that accompanied the version 3.03 software: 20 21 Klatt Cascade-Parallel Formant Synthesizer v 3.03 (April 1994) 22 -------------------------------------------------------------- 23 24 Jon Iles j.p.iles@cs.bham.ac.uk 25 Nick Ing-Simmons nicki@lobby.ti.com 26 27 History 28 ------- 29 30 This file contains a version of the Klatt Cascade-Parallel Formant 31 Speech Synthesizer. The software for this synthesizer was originally 32 described in (1) and an updated version of the software 33 was described in (2). The most recent version of the software 34 synthesizer as described in (2) is commercially available from 35 Sensimetrics Inc. (3) 36 37 The code contained within this directory is a translation of the 38 original Fortran, into C, by Dennis Klatt. In terms of the two 39 articles referred to above, this version seems to be the mid point of the 40 development between the two systems described. 41 42 43 Modifications 44 ------------- 45 46 The main part of the code in this directory was posted to comp.speech 47 in early 1993 as part of a crude text to speech conversion system. The 48 code taken from comp.speech seemed to have been modified considerably 49 from the original, and for use of the synthesizer in research it was 50 necessary to "fix" the changes that had been made. The major changes 51 that have been made are: 52 53 1. Re-introduced the parallel-only / cascade-parallel switch. This 54 allows choice of synthesis method, either using both branches, or just 55 using the parallel branch. 56 57 2. Correct use of bandwidth parameters. One of the cascade bandwidth 58 parameters was being wrongly used in the parallel branch of the 59 synthesizer. 60 61 3. Modified operation of natural voicing source. The amplitude of the 62 natural voicing source was very much smaller than the amplitude of the 63 impulse source, making it difficult to swap between them to evaluate 64 the differences. 65 66 4. Removed the software synthesizer from the context of a text to 67 speech system. The synthesizer is now a stand-alone program, accepting 68 input as a set of parameters from a file, and allowing output to a 69 file or to stdout. 70 71 5. Increased the number of parameters available for use in the input 72 file. The original comp.speech software made assumptions about a 73 number of the control parameters. To provide the greatest flexibility, 74 these parameters have been made specific in the input file. It is 75 important to note that the input file format is NOT compatible with 76 that used by the software originally posted to the comp.speech news group. 77 78 6. Added command line options to control the parameters that remain 79 constant during synthesis. 80 81 7. Added F0 flutter control, as described in (2). 82 83 8. Subsequently the code in parwave was re-written by Nick to improve 84 efficiency, and add a more acceptable ANSI style, and generally make 85 an elegant implementation. 86 87 9. Further re-writes have been carried out to remove all global references. 88 All parameters are passed around in structures. 89 90 10. The facility to use a sampled natural excitation waveform has been 91 implemented. Naturalness of the resulting synthetic speech can be greatly 92 improved by using the glottal excitation waveform from a natural speaker, 93 especially if it is the speaker on whose voice the synthesis is actually 94 based. This may be obtained indirectly by inverse-filtering a vowel. 95 96 11. This synthesizer appears in modified form as part of Nick's 97 rsynth text-to-speech system. This may be found at svr-ftp.eng.cam.ac.uk 98 in comp.speech/sources. 99 100 12. Fixed bug to the antiresonator code that caused overflow problems 101 when compiling on a PC 102 103 13. Various minor modifications to ensure correct compilation using 104 Microsoft C 7.0 (tested) and Borland C (untested). 105 106 14. Modified random number generation for noise production as 107 previously it was dependent on the size of the "long" type. 108 109 Input File Format 110 ----------------- 111 112 The input file consists of a series of parameter frames. Each frame of 113 parameters (usually) represents 10ms of audio output, although this 114 figure can be adjusted down to 1ms per frame. The parameters in each 115 frame are described below. To avoid confusion, note that the cascade 116 and parallel branch of the synthesizer duplicate some of the control 117 parameters. 118 119 f0 This is the fundamental frequency (pitch) of the utterance 120 in this case it is specified in steps of 0.1 Hz, hence 100Hz 121 will be represented by a value of 1000. 122 123 av Amplitude of voicing for the cascade branch of the 124 synthesizer in dB0. Range 0-70, value usually 60 for a vowel sound. 125 126 f1 First formant frequency in 200-1300 Hz. 127 128 b1 Cascade branch bandwidth of first formant in the range 40-1000 Hz. 129 130 f2 Second formant frequency in the range 550 - 3000 Hz. 131 132 b2 Cascade branch bandwidth of second formant in the range 40-1000 Hz. 133 134 f3 Third formant frequency in the range 1200-4999 Hz. 135 136 b3 Cascade branch bandwidth of third formant in the range 40-1000 Hz. 137 138 f4 Fourth formant frequency in 1200-4999 Hz. 139 140 b4 Cascade branch bandwidth of fourth formant in the range 40-1000 Hz. 141 142 f5 Fifth formant frequency in the range 1200-4999 Hz. 143 144 b5 Cascade branch bandwidth of fifth formant in the range 40-1000 Hz. 145 146 f6 Sixth formant frequency in the range 1200-4999 Hz. 147 148 b6 Cascade branch bandwidth of sixth formant in the range 40-2000 Hz. 149 150 fnz Frequency of the nasal zero in the range 248-528 Hz. 151 (cascade branch only) An implementation of a Klatt cascade-parallel formant synthesizer. 152 A re-implementation in C of Dennis Klatt's Fortran code, by: 153 154 Jon Iles (j.p.iles@cs.bham.ac.uk) 155 Nick Ing-Simmons (nicki@lobby.ti.com) 156 157 This code is a slightly modified version of the code of 158 159 160 bnz Bandwidth of the nasal zero in the range 40-1000 Hz 161 (cascade branch only) 162 163 fnp Frequency of the nasal pole in the range 248-528 Hz 164 165 bnp Bandwidth of the nasal pole in the range 40-1000 Hz 166 167 ah Amplitude of aspiration 0-70 dB. 168 169 kopen Open quotient of voicing waveform, range 0-60, usually 30. 170 Will influence the gravelly or smooth quality of the voice. 171 Only works with impulse and antural simulations. For the 172 sampled glottal excitation waveform the open quotient is fixed. 173 174 aturb Amplitude of turbulence 0-80 dB. A value of 40 is useful. Can be 175 used to simulate "breathy" voice quality. 176 177 tilt Spectral tilt in dB, range 0-24. Tilts down the output spectrum. 178 The value refers to dB down at 3Khz. Increasing the value emphasizes 179 the low frequency content of the speech and attenuates the high 180 frequency content. 181 182 af Amplitude of frication in dB, range 0-80 (parallel branch) 183 184 skew Spectral Skew - skewness of alternate periods, range 0-40 185 186 a1 Amplitude of first formant in the parallel branch, in 0-80 dB. 187 188 b1p Bandwidth of the first formant in the parallel branch, in Hz. 189 190 a2 Amplitude of parallel branch second formant. 191 192 b2p Bandwidth of parallel branch second formant. 193 194 a3 Amplitude of parallel branch third formant. 195 196 b3p Bandwidth of parallel branch third formant. 197 198 a4 Amplitude of parallel branch fourth formant. 199 200 b4p Bandwidth of parallel branch fourth formant. 201 202 a5 Amplitude of parallel branch fifth formant. 203 204 b5p Bandwidth of parallel branch fifth formant. 205 206 a6 Amplitude of parallel branch sixth formant. 207 208 b6p Bandwidth of parallel branch sixth formant. 209 210 anp Amplitude of the parallel branch nasal formant. 211 212 ab Amplitude of bypass frication in dB. 0-80. 213 214 avp Amplitude of voicing for the parallel branch, 0-70 dB. 215 216 gain Overall gain in dB range 0-80. 217 218 219 220 Command Line Options 221 -------------------- 222 223 -h Displays a help message. 224 225 -i <filename> sets input filename. 226 227 -o <outfile> sets output filename. 228 If output filename not specified, stdout is used. 229 230 -q quiet - print no messages. 231 232 -t <n> select output waveform (RTFC !) 233 234 -c select cascade-parallel configuration. 235 Parallel only configuration is default. 236 237 -n <number> Number of formants in cascade branch. 238 Default is 5. 239 240 -s <n> set sample rate 241 Default is 10Khz. 242 243 -f <n> set number of milliseconds per frame. 244 Default is 10ms per frame 245 246 -v <n> Specifies that the voicing source to be used. 247 1 = impulse train. 248 2 = natural simulation. 249 3 = natural samples. 250 Default is natural voicing 251 252 -V <filename> Specifies the filename for a sampled natural excitation 253 waveform. See man page for format details. 254 255 -r <n> Output raw binary samples, rather than ASCII integer samples. 256 1 = high byte, low byte arrangement. 257 2 = low byte, high byte arrangement. 258 259 -F <percent> percentage of f0 flutter 260 Default is 0 261 262 263 Example Parameter File 264 ---------------------- 265 266 Some example parameter files for a short segments of speech are included in 267 this distribution. e.g. file called example1.par. Use the following 268 to produce the output waveforms: 269 270 klatt -i example1.par -o example1.dat -f 5 -v 2 271 klatt -i example2.par -o example2.dat -f 5 -s 16000 -v 2 272 273 The '-r' option can be used to produce raw binary output, which can 274 then be converted to many different formats using utilities such as 275 'sox' (sound exchange) which are available from major ftp sites. 276 277 An example is given below of conversion to the ulaw encoded format 278 used by Sun Sparc SLC's 279 280 sox -r 16000 -s -w example.raw -r 8000 -b -U example.au 281 282 Beware of the byte ordering of your machine - if the above procedure 283 produces distored rubbish, try using -r 2 instead of -r 1. This just 284 reverses the byte ordering in the raw binary output file. It is also 285 worth noting that the above example reduces the quality of the output, 286 as the sampling rate is being halved and the number of bits per sample 287 is being halved. Ideally output should be at 16kHz with 16 bits per 288 sample. 289 290 291 Notes 292 ----- 293 294 This code is free software; you can redistribute it and/or modify 295 it under the terms of the GNU General Public License as published by 296 the Free Software Foundation; either version 1, or (at your option) 297 any later version. 298 299 This code is distributed in the hope that it will be useful, 300 but WITHOUT ANY WARRANTY; without even the implied warranty of 301 MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 302 GNU General Public License for more details. 303 304 You should have received a copy of the GNU General Public License 305 along with this work; if not, write to the Free Software 306 Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA. 307 308 Bug reports, comments etc. to j.p.iles@cs.bham.ac.uk 309 310 311 References 312 ---------- 313 314 (1) @article{klatt1980, 315 AUTHOR = {Klatt,D.H.}, 316 JOURNAL = {Journal of the Acoustic Society of America}, 317 PAGES = {971--995}, 318 TITLE = {Software for a cascade/parallel formant synthesizer}, 319 VOLUME = {67}, 320 NUMBER = {3}, 321 MONTH = {March}, 322 YEAR = 1980} 323 324 325 (2) @Article{klatt1990, 326 author = "Klatt,D.H. and Klatt, L.C.", 327 title = "Analysis, synthesis and perception of voice quality 328 variations among female and male talkers.", 329 journal = "Journal of the Acoustical Society of America", 330 year = "1990", 331 volume = "87", 332 number = "2", 333 pages = "820--857", 334 month = "February"} 335 336 (3) Dr. David Williams at 337 338 Sensimetrics Corporation, 339 64 Sidney Street, 340 Cambridge, 341 MA 02139. 342 Fax: (617) 225-0470 343 Tel: (617) 225-2442 344 e-mail sensimetrics@sens.com 345 */ 346 347 /* 348 djmw 20081019 first implementation. 349 djmw 20081128 Parallel section: rnp filters dif(source)+frication instead of source only. 350 djmw 20090708 +Table_to_KlattTable, KlattTable_to_Table 351 djmw 20110308 Thing_new + struct KlattFrame -> struct structKlattFrame 352 djmw 20110329 Table_get(Numeric|String)Value is now Table_get(Numeric|String)Value_Assert 353 */ 354 355 #include "KlattTable.h" 356 #include "Resonator.h" 357 358 Thing_implement (KlattTable, Table, 0); 359 360 #define CASCADE_PARALLEL 1 /* Type of synthesis model */ 361 #define ALL_PARALLEL 2 362 #define KlattTable_NPAR 40 /* Number of control parameters */ 363 #define MAX_SAM 20000 /* Maximum sample rate */ 364 #define IMPULSIVE 1 /* Type of voicing source */ 365 #define NATURAL 2 366 #define SAMPLED 3 367 368 #define NUMBER_OF_SAMPLES 100 369 #define SAMPLE_FACTOR 0.00001 370 371 /* Structure for Klatt Parameters */ 372 typedef struct structKlattFrame { 373 integer F0hz10; /* Voicing fund freq in units of 0.1 Hz */ 374 integer AVdb; /* Amp of voicing in dB, 0 to 70 */ 375 integer Fhz [9]; /* Formant freqs in Hz */ 376 integer Bhz [9]; /* bandwidths in Hz */ 377 integer Bphz [7]; /* Bandwidths, parallel branch */ 378 integer A [7]; /* Formant amplitudes parallel branch */ 379 integer FNZhz; /* Nasal zero freq in Hz, 248 to 528 */ 380 integer BNZhz; /* Nasal zero bw in Hz, 40 to 1000 */ 381 integer FNPhz; /* Nasal pole freq in Hz, 248 to 528 */ 382 integer BNPhz; /* Nasal pole bw in Hz, 40 to 1000 */ 383 integer ah; /* Amp of aspiration in dB, 0 to 70 */ 384 integer Kopen; /* # of samples in open period, 10 to 65 */ 385 integer Aturb; /* Breathiness in voicing, 0 to 80 */ 386 integer TLTdb; /* Voicing spectral tilt in dB, 0 to 24 */ 387 integer AF; /* Amp of frication in dB, 0 to 80 */ 388 integer Kskew; /* Skewness of alternate periods, 0 to 40 in sample#/2 */ 389 integer ANP; /* Amp of par nasal pole in dB, 0 to 80 */ 390 integer AB; /* Amp of bypass fric. in dB, 0 to 80 */ 391 integer AVpdb; /* Amp of voicing, par in dB, 0 to 70 */ 392 integer Gain0; /* Overall gain, 60 dB is unity, 0 to 60 */ 393 } *KlattFrame; 394 395 static autoSTRVEC theColumnNames { U"f0", U"av", U"f1", U"b1", U"f2", U"b2", U"f3", U"b3", U"f4", U"b4", U"f5", U"b5", U"f6", U"b6", 396 U"fnz", U"bnz", U"fnp", U"bnp", U"ah", U"kopen", U"aturb", U"tilt", U"af", U"skew", 397 U"a1", U"b1p", U"a2", U"b2p", U"a3", U"b3p", U"a4", U"b4p", U"a5", U"b5p", U"a6", U"b6p", U"anp", U"ab", U"avp", U"gain" }; 398 399 static double DBtoLIN (integer dB) { 400 static const double amptable [88] = { 401 0.0, 402 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 403 0.0, 0.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 13.0, 14.0, 404 16.0, 18.0, 20.0, 22.0, 25.0, 28.0, 32.0, 35.0, 40.0, 45.0, 405 51.0, 57.0, 64.0, 71.0, 80.0, 90.0, 101.0, 114.0, 128.0, 142.0, 406 159.0, 179.0, 202.0, 227.0, 256.0, 284.0, 318.0, 359.0, 405.0, 455.0, 407 512.0, 568.0, 638.0, 719.0, 811.0, 911.0, 1024.0, 1137.0, 1276.0, 1438.0, 408 1622.0, 1823.0, 2048.0, 2273.0, 2552.0, 2875.0, 3244.0, 3645.0, 4096.0, 4547.0, 409 5104.0, 5751.0, 6488.0, 7291.0, 8192.0, 9093.0, 10207.0, 11502.0, 12976.0, 14582.0, 410 16384.0, 18350.0, 20644.0, 23429.0, 26214.0, 29491.0, 32767 411 }; 412 return ( (dB < 0) || (dB > 87) ? 0 : amptable [dB] * .001 ); 413 } 414 415 typedef struct structKlattGlobal { 416 int synthesis_model; /* cascade-parallel or all-parallel */ 417 int outsl; /* Output waveform selector */ 418 integer samrate; /* Number of output samples per second */ 419 integer FLPhz ; /* Frequeny of glottal downsample low-pass filter */ 420 integer BLPhz ; /* Bandwidth of glottal downsample low-pass filter */ 421 integer nfcascade; /* Number of formants in cascade vocal tract */ 422 int glsource; /* Type of glottal source */ 423 int f0_flutter; /* Percentage of f0 flutter 0-100 */ 424 integer nspfr; /* number of samples per frame */ 425 integer nper; /* Counter for number of samples in a pitch period */ 426 integer ns; 427 integer T0; /* Fundamental period in output samples times 4 */ 428 integer nopen; /* Number of samples in open phase of period */ 429 integer nmod; /* Position in period to begin noise amp. modul */ 430 integer Kopen; /* # of samples in open period, 10 to 65 */ 431 integer Kskew; /* Skewness of alternate periods, 0 to 40 in sample#/2 */ 432 double TLTdb; /* Voicing spectral tilt in dB, 0 to 24 */ 433 integer nrand; /* Varible used by random number generator */ 434 double pulse_shape_a; /* Makes waveshape of glottal pulse when open */ 435 double pulse_shape_b; /* Makes waveshape of glottal pulse when open */ 436 double onemd; 437 double decay; 438 double amp_bypas; /* AB converted to linear gain */ 439 double AVdb; /* Amp of voicing in dB, 0 to 70 */ 440 double amp_voice; /* AVdb converted to linear gain */ 441 double par_amp_voice; /* AVpdb converted to linear gain */ 442 double amp_aspir; /* AP converted to linear gain */ 443 double amp_frica; /* AF converted to linear gain */ 444 double Aturb; /* Breathiness in voicing, 0 to 80 */ 445 double amp_breth; /* ATURB converted to linear gain */ 446 double amp_gain0; /* G0 converted to linear gain */ 447 integer num_samples; /* number of glottal samples */ 448 double sample_factor; /* multiplication factor for glottal samples */ 449 short *natural_samples; /* pointer to an array of glottal samples */ 450 integer F0hz10; /* Voicing fund freq in units of 0.1 Hz */ 451 integer original_f0; /* original value of f0 not modified by flutter (kanweg) */ 452 autoResonator rp [7], rc [9], rnpp, rnpc, rgl, rlp, rout; 453 autoAntiResonator rnz; 454 } *KlattGlobal; 455 456 autoKlattTable KlattTable_readFromRawTextFile (MelderFile fs) { 457 try { 458 autoMatrix thee = Matrix_readFromRawTextFile (fs); 459 Melder_require (thy nx == KlattTable_NPAR, 460 U"A KlattTable needs ", KlattTable_NPAR, U" columns."); 461 462 autoKlattTable me = Thing_new (KlattTable); 463 Table_initWithColumnNames (me.get(), thy ny, theColumnNames.get()); 464 for (integer irow = 1; irow <= thy ny; irow ++) { 465 for (integer jcol = 1; jcol <= KlattTable_NPAR; jcol ++) { 466 double val = thy z [irow] [jcol]; 467 if (jcol > 3 && jcol < 13 && (jcol % 2 == 0) && val <= 0) // bw == 0? 468 val = thy z [irow] [jcol - 1] / 10; 469 Table_setNumericValue (me.get(), irow, jcol, val); 470 } 471 } 472 return me; 473 } catch (MelderError) { 474 Melder_throw (U"KlattTable not read from file."); 475 } 476 } 477 478 static void KlattGlobal_free (KlattGlobal me) { 479 for (integer i = 1; i <= 8; i ++) { 480 my rc [i].reset(); 481 if (i <= 6) 482 my rp [i].reset(); 483 } 484 my rnpp.reset(); 485 my rnpc.reset(); 486 my rnz.reset(); 487 my rgl.reset(); 488 my rlp.reset(); 489 my rout.reset(); 490 Melder_free (me); 491 } 492 493 static KlattGlobal KlattGlobal_create (double samplingFrequency) { 494 KlattGlobal me = nullptr; 495 try { 496 me = Melder_calloc (structKlattGlobal, 1); 497 498 my samrate = Melder_ifloor (samplingFrequency); 499 const double dT = 1.0 / my samrate; 500 501 for (integer i = 1; i <= 8; i ++) { 502 my rc [i] = Resonator_create (dT, true); 503 if (i <= 6) 504 my rp [i] = Resonator_create (dT, true); 505 } 506 my rnpp = Resonator_create (dT, true); 507 my rnpc = Resonator_create (dT, true); 508 my rgl = Resonator_create (dT, true); 509 my rlp = Resonator_create (dT, true); 510 my rout = Resonator_create (dT, true); 511 my rnz = AntiResonator_create (dT); 512 return me; 513 } catch (MelderError) { 514 KlattGlobal_free (me); 515 Melder_throw (U"KlattGlobal not created."); 516 } 517 } 518 519 static void KlattGlobal_init (KlattGlobal me, int synthesisModel, int numberOfFormants, int glottalSource, double frameDuration, integer flutter, int outputType) { 520 static short natural_samples [NUMBER_OF_SAMPLES] = { 521 -310, -400, 530, 356, 224, 89, 23, -10, -58, -16, 461, 599, 536, 701, 770, 522 605, 497, 461, 560, 404, 110, 224, 131, 104, -97, 155, 278, -154, -1165, 523 -598, 737, 125, -592, 41, 11, -247, -10, 65, 92, 80, -304, 71, 167, -1, 122, 524 233, 161, -43, 278, 479, 485, 407, 266, 650, 134, 80, 236, 68, 260, 269, 179, 525 53, 140, 275, 293, 296, 104, 257, 152, 311, 182, 263, 245, 125, 314, 140, 44, 526 203, 230, -235, -286, 23, 107, 92, -91, 38, 464, 443, 176, 98, -784, -2449, 527 -1891, -1045, -1600, -1462, -1384, -1261, -949, -730 528 }; 529 530 my nspfr = Melder_ifloor (my samrate * frameDuration); /* average number of samples per frame */ 531 my synthesis_model = synthesisModel; 532 my nfcascade = numberOfFormants; 533 my glsource = glottalSource; 534 my natural_samples = natural_samples; 535 my num_samples = NUMBER_OF_SAMPLES; 536 my sample_factor = (float) SAMPLE_FACTOR; 537 my outsl = outputType; 538 my f0_flutter = flutter; 539 540 my FLPhz = Melder_ifloor (0.0950 * my samrate); // depends on samplingFrequency ???? 541 my BLPhz = Melder_ifloor (0.0630 * my samrate); 542 Filter_setCoefficients (my rlp.get(), my FLPhz, my BLPhz); 543 } 544 545 static KlattFrame KlattFrame_create () { 546 return Melder_malloc (structKlattFrame, 1); 547 } 548 549 static void KlattFrame_free (KlattFrame me) { 550 Melder_free (me); 551 } 552 553 autoKlattTable KlattTable_create (double frameDuration, double totalDuration) { 554 try { 555 autoKlattTable me = Thing_new (KlattTable); 556 const integer nrows = Melder_ifloor (totalDuration / frameDuration) + 1; 557 Table_initWithColumnNames (me.get(), nrows, theColumnNames.get()); 558 return me; 559 } catch (MelderError) { 560 Melder_throw (U"KlattTable not created."); 561 } 562 } 563 564 //static void frame_init(KlattGlobal_ptr globals, KlattFrame_ptr frame) 565 static void KlattGlobal_getFrame (KlattGlobal me, KlattFrame thee) { 566 const double amp_parF [7] = {0, 0.4, 0.15, 0.06, 0.04, 0.022, 0.03}; 567 568 my F0hz10 = thy F0hz10; 569 my original_f0 = my F0hz10 / 10; 570 my Kopen = thy Kopen; 571 my Kskew = thy Kskew; 572 my TLTdb = thy TLTdb; 573 574 my Aturb = thy Aturb; 575 my AVdb = thy AVdb; 576 my AVdb -= 7; 577 if (my AVdb < 0) 578 my AVdb = 0; 579 580 my amp_aspir = DBtoLIN (thy ah) * 0.05; 581 my amp_frica = DBtoLIN (thy AF) * 0.25; 582 my par_amp_voice = DBtoLIN (thy AVpdb); 583 const double amp_parFNP = DBtoLIN (thy ANP) * 0.6; 584 my amp_bypas = DBtoLIN (thy AB) * 0.05; 585 thy Gain0 -= 3; 586 if (thy Gain0 <= 0) 587 thy Gain0 = 57; 588 589 my amp_gain0 = DBtoLIN (thy Gain0); 590 /* 591 Set coefficients of variable cascade resonators 592 */ 593 for (integer i = 8; i > 0; i--) 594 if (my nfcascade >= i) 595 Filter_setCoefficients (my rc [i].get(), thy Fhz [i], thy Bhz [i]); 596 /* 597 Set coefficients of nasal resonator and zero antiresonator 598 */ 599 Filter_setCoefficients (my rnpc.get(), thy FNPhz, thy BNPhz); 600 Filter_setCoefficients (my rnz.get(), thy FNZhz, thy BNZhz); 601 /* 602 Set coefficients of parallel resonators, and amplitude of outputs 603 */ 604 for (integer i = 1; i <= 6; i ++) { 605 Filter_setCoefficients (my rp [i].get(), thy Fhz [i], thy Bphz [i]); 606 my rp [i] -> a *= amp_parF [i] * DBtoLIN (thy A [i]); 607 } 608 609 Filter_setCoefficients (my rnpp.get(), thy FNPhz, thy BNPhz); 610 my rnpp -> a *= amp_parFNP; 611 /* 612 Output low-pass filter 613 */ 614 Filter_setCoefficients (my rout.get(), 0, (integer) (my samrate / 2)); 615 } 616 617 /* 618 This function adds F0 flutter, as specified in: 619 620 "Analysis, synthesis and perception of voice quality variations among 621 female and male talkers", D.H. Klatt and L.C. Klatt, JASA 87(2), February 1990. 622 623 Flutter is added by applying a quasi-random element constructed from three 624 slowly varying sine waves. 625 */ 626 627 static void KlattFrame_flutter (KlattGlobal me) { 628 static integer time_count = 0; 629 const double fla = (double) my f0_flutter / 50.0; 630 const double flb = (double) my original_f0 / 100.0; 631 const double flc = sin (2 * NUMpi * 12.7 * time_count); 632 const double fld = sin (2 * NUMpi * 7.1 * time_count); 633 const double fle = sin (2 * NUMpi * 4.7 * time_count); 634 const double delta_f0 = fla * flb * (flc + fld + fle) * 10.0; 635 my F0hz10 += (integer) delta_f0; 636 time_count ++; 637 } 638 639 /* 640 Random number generator (return a number between -8191 and +8191) 641 Noise spectrum is tilted down by soft low-pass filter having a pole near 642 the origin in the Z-plane, i.e. output = input + (0.75 * lastoutput) 643 */ 644 static double KlattGlobal_gen_noise (KlattGlobal me) { 645 static double nlast = 0.0; 646 647 my nrand = ( (rand() % (int) ( ( (8191) + 1) - (-8191))) + (-8191)); 648 double noise = my nrand + (0.75 * nlast); 649 nlast = noise; 650 651 return noise; 652 } 653 654 /* 655 Generate a low pass filtered train of impulses as an approximation of 656 a natural excitation waveform. Low-pass filter the differentiated impulse 657 with a critically-damped second-order filter, time constant proportional 658 to Kopen. 659 */ 660 static double KlattGlobal_impulsive_source (KlattGlobal me) { // ppgb: dit was een float; kan niet goed zijn 661 constexpr static double doublet [] = {0.0, 13000000.0, -13000000.0}; 662 static double vwave = ( my nper < 3 ? doublet [my nper] : 0.0 ); 663 664 return Filter_getOutput (my rgl.get(), vwave); 665 } 666 667 /* 668 Vwave is the differentiated glottal flow waveform, there is a weak 669 spectral zero around 800 Hz, magic constants a,b reset pitch synchronously. 670 */ 671 static double KlattGlobal_natural_source (KlattGlobal me) { // ppgb: dit was een float; kan niet goed zijn 672 static double vwave = 0.0; 673 double lgtemp = 0.0; 674 675 if (my nper < my nopen) { 676 my pulse_shape_a -= my pulse_shape_b; 677 vwave += my pulse_shape_a; 678 lgtemp = vwave * 0.028; 679 } else { 680 vwave = 0.0; 681 } 682 return lgtemp; 683 } 684 685 /* Allows the use of a glottal excitation waveform sampled from a real voice. */ 686 static double KlattGlobal_sampled_source (KlattGlobal me) { // ppgb: dit was een float; kan niet goed zijn 687 double result = 0.0; 688 689 if (my T0 != 0) { 690 double ftemp = my nper; 691 ftemp *= my num_samples / my T0; 692 const integer itemp = Melder_ifloor (ftemp); 693 694 const double temp_diff = ftemp - itemp; 695 696 const integer current_value = my natural_samples [itemp]; 697 const integer next_value = my natural_samples [itemp + 1]; 698 699 double diff_value = next_value - current_value; 700 diff_value = diff_value * temp_diff; 701 702 result = my natural_samples [itemp] + diff_value; 703 result = result * my sample_factor; 704 } 705 706 return result; 707 } 708 709 /* 710 Reset selected parameters pitch-synchronously. 711 712 713 Constant B0 controls shape of glottal pulse as a function 714 of desired duration of open phase N0 715 (Note that N0 is specified in terms of 40,000 samples/sec of speech) 716 717 Assume voicing waveform V(t) has form: k1 t**2 - k2 t**3 718 719 If the radiation characterivative, a temporal derivative 720 is folded in, and we go from continuous time to discrete 721 integers n: dV/dt = vwave [n] 722 = sum over i=1,2,...,n of { a - (i * b) } 723 = a n - b/2 n**2 724 725 where the constants a and b control the detailed shape 726 and amplitude of the voicing waveform over the open 727 portion of the voicing cycle "nopen". 728 729 Let integral of dV/dt have no net dc flow --> a = (b * nopen) / 3 730 731 Let maximum of dUg(n)/dn be constant --> b = gain / (nopen * nopen) 732 meaning as nopen gets bigger, V has bigger peak proportional to n 733 734 Thus, to generate the table below for 40 <= nopen <= 263: 735 736 B0 [nopen - 40] = 1920000 / (nopen * nopen) 737 738 Modified calculation by djmw 20081127 739 Given a and b as above (which are wrong, see below) V' [n]= b*N/3*n - b/2*n^2. 740 V' [N]=b/3*N^2-b/2*N^2=b/6*N^2 741 Given the table B0 for N=40, b=1200 and V' [N]=1200/6*(40)^2=320000 742 Also b=G/N^2 then V' [n]=-G/6 (=1920000/6=320000)! 743 744 745 (We have not implemented the following correct calculations in the code) N=nopen 746 dV/dt = vwave [n]=sum(i=1, n, a-i*b) = a*n-b*1/2*n*(n+1)=(a-b/2)*n-b/2 * n^2 747 (Here they forgot that sum(i=1,N,i)=1/2*n*(n+1) ! ) 748 We want the sum(i=1,N, dV/dt [n])==0, therefore (a-b/2)*1/2*N*(N+1)-b*1/2*1/6*N*(N+1)*(2*N+1)==0. 749 It follows that (a-b/2) - b*1/6*(2*N+1)==0 => a = b*(N+2)/3 750 we can rewrite with only b: V' [n] = b/2 {(2N+1)/3*n - n^2} 751 The maximum of V' [n] is where (2N+1)/3-2n==0 => for n=(2N+1)/6 752 This maximum is b/2{(2N+1)/3*(2N+1)/(2*3)-((2N+1)/(2*3))^2} = 1/72*b*(2N+1)^2 753 The minimum is at n=N and equals V' [N]=b/6 {N-N^2}. 754 This minimum has larger amplitude than the maximum. 755 b = 6*gain/(N^2-N), b approx 6*gain/N^2. With a maximum gain of 32767 we arrive at 756 b= 196602 / (N^2-N) Their value is 20*log10(1920000/196602) = 19.79 dB too high! 757 The noise is in the range [-8192,8192], 758 */ 759 760 static void KlattGlobal_pitch_synch_par_reset (KlattGlobal me) { 761 static integer skew; 762 const static short B0 [224] = { 763 1200, 1142, 1088, 1038, 991, 948, 907, 869, 833, 799, 768, 738, 710, 683, 658, 764 634, 612, 590, 570, 551, 533, 515, 499, 483, 468, 454, 440, 427, 415, 403, 765 391, 380, 370, 360, 350, 341, 332, 323, 315, 307, 300, 292, 285, 278, 272, 766 265, 259, 253, 247, 242, 237, 231, 226, 221, 217, 212, 208, 204, 199, 195, 767 192, 188, 184, 180, 177, 174, 170, 167, 164, 161, 158, 155, 153, 150, 147, 768 145, 142, 140, 137, 135, 133, 131, 128, 126, 124, 122, 120, 119, 117, 115, 769 113, 111, 110, 108, 106, 105, 103, 102, 100, 99, 97, 96, 95, 93, 92, 91, 90, 770 88, 87, 86, 85, 84, 83, 82, 80, 79, 78, 77, 76, 75, 75, 74, 73, 72, 71, 771 70, 69, 68, 68, 67, 66, 65, 64, 64, 63, 62, 61, 61, 60, 59, 59, 58, 57, 772 57, 56, 56, 55, 55, 54, 54, 53, 53, 52, 52, 51, 51, 50, 50, 49, 49, 48, 48, 773 47, 47, 46, 46, 45, 45, 44, 44, 43, 43, 42, 42, 41, 41, 41, 41, 40, 40, 774 39, 39, 38, 38, 38, 38, 37, 37, 36, 36, 36, 36, 35, 35, 35, 35, 34, 34, 33, 775 33, 33, 33, 32, 32, 32, 32, 31, 31, 31, 31, 30, 30, 30, 30, 29, 29, 29, 29, 776 28, 28, 28, 28, 27, 27 777 }; 778 779 if (my F0hz10 > 0) { 780 /* 781 T0 is 4* the number of samples in one pitch period 782 */ 783 my T0 = (40 * my samrate) / my F0hz10; 784 my amp_voice = DBtoLIN (Melder_ifloor (my AVdb)); 785 /* 786 Duration of period before amplitude modulation 787 */ 788 my nmod = my T0; 789 if (my AVdb > 0) 790 my nmod >>= 1; 791 /* 792 Breathiness of voicing waveform 793 */ 794 my amp_breth = DBtoLIN (Melder_ifloor (my Aturb)) * 0.1; 795 /* 796 Set open phase of glottal period where 40 <= open phase <= 263 797 */ 798 my nopen = 4 * my Kopen; 799 800 if ( (my glsource == IMPULSIVE) && (my nopen > 263)) 801 my nopen = 263; 802 803 if (my nopen >= (my T0 - 1)) { 804 my nopen = my T0 - 2; 805 Melder_warning (U"Glottal open period cannot exceed T0, truncated"); 806 } 807 808 if (my nopen < 40) { 809 /* F0 max = 1000 Hz */ 810 my nopen = 40; 811 Melder_warning (U"Warning: minimum glottal open period is 10 samples.\n" 812 U"truncated, nopen = ", my nopen); 813 } 814 /* 815 Reset a & b, which determine shape of "natural" glottal waveform 816 */ 817 my pulse_shape_b = B0 [my nopen - 40]; 818 my pulse_shape_a = (my pulse_shape_b * my nopen) * 0.333; 819 /* 820 Reset width of "impulsive" glottal pulse 821 */ 822 integer temp = my samrate / my nopen; 823 824 Filter_setCoefficients (my rgl.get(), 0, temp); // Only used for impulsive source. 825 /* 826 Make gain at F1 about constant 827 */ 828 const double temp1 = my nopen * 0.00833; 829 my rgl -> a *= temp1 * temp1; 830 /* 831 Truncate skewness so as not to exceed duration of closed phase of glottal period. 832 */ 833 temp = my T0 - my nopen; 834 if (my Kskew > temp) { 835 Melder_information (U"Kskew duration=", my Kskew, U" > glottal closed period=", 836 my T0 - my nopen, U" truncate"); 837 my Kskew = temp; 838 } 839 if (skew >= 0) 840 skew = my Kskew; 841 else 842 skew = - my Kskew; 843 /* 844 Add skewness to closed portion of voicing period 845 */ 846 my T0 = my T0 + skew; 847 skew = - skew; 848 } else { 849 my T0 = 4; // Default for f0 undefined 850 my amp_voice = 0.0; 851 my nmod = my T0; 852 my amp_breth = 0.0; 853 my pulse_shape_a = 0.0; 854 my pulse_shape_b = 0.0; 855 } 856 /* 857 Reset these pars pitch synchronously or at update rate if f0=0 858 */ 859 if ( (my T0 != 4) || (my ns == 0)) { 860 /* 861 Set one-pole low-pass filter that tilts glottal source 862 */ 863 my decay = (0.033 * my TLTdb); 864 my onemd = ( my decay > 0.0 ? 1.0 - my decay : 1.0 ); 865 } 866 } 867 868 // This is Klatt80 with improved source model. 869 static void KlattGlobal_synthesizeFrame (KlattGlobal me, vector<int16> const& output) { 870 double out, frics, glotout, aspiration, par_glotout, noise, sourc, voice = 0; 871 static double vlast = 0, glotlast = 0; 872 873 KlattFrame_flutter (me); 874 /* 875 MAIN LOOP, for each output sample of current frame: 876 */ 877 for (integer isamp = 1; isamp <= my nspfr; isamp ++) { 878 /* 879 Get low-passed random number for aspiration and frication noise 880 */ 881 noise = KlattGlobal_gen_noise (me); 882 /* 883 Amplitude modulate noise (reduce noise amplitude during 884 second half of glottal period) if voicing simultaneously present. 885 */ 886 if (my nper > my nmod) 887 noise *= 0.5; 888 /* 889 Compute frication noise 890 */ 891 frics = my amp_frica * noise; 892 /* 893 Compute voicing waveform. Run glottal source simulation at 4 894 times normal sample rate to minimize quantization noise in 895 period of female voice. 896 */ 897 for (integer n4 = 0; n4 < 4; n4 ++) { 898 switch (my glsource) { 899 case IMPULSIVE: 900 voice = KlattGlobal_impulsive_source (me); 901 break; 902 case NATURAL: 903 voice = KlattGlobal_natural_source (me); 904 break; 905 case SAMPLED: 906 voice = KlattGlobal_sampled_source (me); 907 break; 908 } 909 /* 910 Reset period when counter 'nper' reaches T0 911 */ 912 if (my nper >= my T0) { 913 my nper = 0; 914 KlattGlobal_pitch_synch_par_reset (me); 915 } 916 /* 917 Low-pass filter voicing waveform before downsampling from 4*samrate 918 to samrate samples/sec. Resonator f=.09*samrate, bw=.06*samrate 919 */ 920 voice = Filter_getOutput (my rlp.get(), voice); 921 /* 922 Increment counter that keeps track of 4*samrate samples per sec 923 */ 924 my nper ++; 925 } 926 /* 927 Tilt spectrum of voicing source down by soft low-pass filtering, amount 928 of tilt determined by TLTdb 929 */ 930 voice = (voice * my onemd) + (vlast * my decay); 931 vlast = voice; 932 /* 933 Add breathiness during glottal open phase. Amount of breathiness 934 determined by parameter Aturb Use nrand rather than noise because 935 noise is low-passed. 936 */ 937 if (my nper < my nopen) 938 voice += my amp_breth * my nrand; 939 /* 940 Set voicing amplitude 941 */ 942 glotout = my amp_voice * voice; 943 par_glotout = my par_amp_voice * voice; 944 /* 945 Compute aspiration amplitude and add to voicing source 946 */ 947 aspiration = my amp_aspir * noise; 948 glotout += aspiration; 949 par_glotout += aspiration; 950 /* 951 Cascade vocal tract, excited by laryngeal sources. 952 Nasal antiresonator, then formants FNP, F5, F4, F3, F2, F1 953 */ 954 if (my synthesis_model != ALL_PARALLEL) { 955 out = Filter_getOutput (my rnz.get(), glotout); /* anti resonator */ 956 out = Filter_getOutput (my rnpc.get(), out); 957 958 for (integer i = 8; i > 0; i--) 959 if (my nfcascade >= i) 960 out = Filter_getOutput (my rc [i].get(), out); 961 } else { 962 /* 963 we are not using the cascade tract, set out to zero 964 */ 965 out = 0; 966 } 967 /* 968 Excite parallel F1 and FNP by voicing waveform 969 */ 970 sourc = par_glotout; // Source is voicing plus aspiration 971 /* 972 Standard parallel vocal tract Formants F6,F5,F4,F3,F2, 973 outputs added with alternating sign. Sound sourc for other 974 parallel resonators is frication plus first difference of 975 voicing waveform. 976 977 In Klatt80: 978 source: through r1, 979 diff(source)+frication: through filters rnp, r2, r3, r4 980 frication: through r5, r6 and ab. 981 In the original code of Iles and Ing it was 982 source: through r1 and rnp 983 diff(source)+frication: r2, r3, r4 , r5, r6, ab 984 985 Problem: The source signal is already v' [n], and we are differentiating here again ??? 986 */ 987 out += Filter_getOutput (my rp [1].get(), sourc); 988 sourc = frics + par_glotout - glotlast; // diff 989 glotlast = par_glotout; 990 991 out += Filter_getOutput (my rnpp.get(), sourc); 992 993 for (integer i = 6; i >= 2; i--) 994 if (my nfcascade >= i) 995 out = Filter_getOutput (my rp [i].get(), sourc) - out; 996 997 const double outbypas = my amp_bypas * sourc; 998 out = outbypas - out; 999 1000 if (my outsl != 0) { 1001 switch (my outsl) { 1002 case 1: 1003 out = voice; 1004 break; 1005 case 2: 1006 out = aspiration; 1007 break; 1008 case 3: 1009 out = frics; 1010 break; 1011 case 4: 1012 out = glotout; 1013 break; 1014 case 5: 1015 out = par_glotout; 1016 break; 1017 case 6: 1018 out = outbypas; 1019 break; 1020 case 7: 1021 out = sourc; 1022 break; 1023 } 1024 } 1025 1026 out = Filter_getOutput (my rout.get(), out); 1027 double temp = out * my amp_gain0; // Convert back to integer 1028 1029 if (temp < -32768.0) { 1030 temp = -32768.0; 1031 } 1032 if (temp > 32767.0) { 1033 temp = 32767.0; 1034 } 1035 output [isamp] = temp; // ppgb: truncatie naar 0, dus compressie; is dat de bedoeling? 1036 } 1037 my ns = my nspfr; 1038 } 1039 1040 static int KlattTable_checkLimits (KlattTable me) { 1041 integer nviolations_upper [KlattTable_NPAR + 1] = { 0 }, nviolations_lower [KlattTable_NPAR + 1] = { 0 }; 1042 const integer lower [KlattTable_NPAR + 1] = { 0, // dummy 1043 10, 0, // f0, av 1044 200, 40, 550, 40, 1200, 40, 1200, 40, 1200, 40, 1200, 40, // f1,b1 -- f6,b6 1045 248, 40, 248, 40, // fnz, bnz, fnp, bnp 1046 0, 0, 0, 0, 0, 0, // ah, kopen, aturb, tilt, af, skew 1047 0, 40, 0, 40, 0, 40, 0, 40, 0, 40, 0, 40, // a1,b1p -- a6,b6p 1048 0, 0, 0, 0 // anp, ab, avp, gain 1049 }; 1050 const integer upper [KlattTable_NPAR + 1] = { 0, // dummy 1051 10000, 70, // f0, av 1052 1300, 1000, 3000, 1000, 4999, 1000, 4999, 1000, 6999, 1000, 7000, 1000, // f1,b1 -- f6,b6 1053 528, 1000, 528, 1000, // fnz, bnz, fnp, bnp 1054 70, 60, 80, 24, 80, 40, // ah, kopen, aturb, tilt, af, skew 1055 80, 1000, 80, 1000, 80, 1000, 80, 1000, 80, 1000, 80, 1000, // a1,b1p -- a6,b6p 1056 80, 80, 70, 80 // anp, ab, avp, gain 1057 }; 1058 1059 integer nv = 0; 1060 for (integer irow = 1; irow <= my rows.size; irow ++) { 1061 for (integer j = 1; j <= KlattTable_NPAR; j ++) { 1062 const integer val = Table_getNumericValue_Assert (me, irow, j); // ppgb: truncatie? kan dat kloppen? 1063 if (val < lower [j]) { 1064 nviolations_lower [j] ++; 1065 nv ++; 1066 } else if (val > upper [j]) { 1067 nviolations_upper [j] ++; 1068 nv ++; 1069 } 1070 } 1071 } 1072 if (nv > 0) { 1073 MelderInfo_open (); 1074 MelderInfo_writeLine (U"Diagnostics for KlattTable \"", Thing_getName (me), U"\":"); 1075 MelderInfo_writeLine (U"Number of frames: ", my rows.size); 1076 for (integer j = 1; j <= KlattTable_NPAR; j ++) { 1077 if (nviolations_lower [j] > 0) { 1078 if (nviolations_upper [j] > 0) 1079 MelderInfo_writeLine (theColumnNames [j].get(), U": ", nviolations_lower [j], U" frame(s) < min = ", 1080 nviolations_lower [j], U"; ", nviolations_upper [j], U" frame(s) > max = ", upper [j]); 1081 else 1082 MelderInfo_writeLine (theColumnNames [j].get(), U": ", nviolations_lower [j], U" frame(s) < min = ", lower [j]); 1083 } else if (nviolations_upper [j] > 0) { 1084 MelderInfo_writeLine (theColumnNames [j].get(), U": ", nviolations_upper [j], U" frame(s) > max = ", upper [j]); 1085 } 1086 } 1087 MelderInfo_close (); 1088 return 0; 1089 } 1090 return 1; 1091 } 1092 1093 autoSound KlattTable_to_Sound (KlattTable me, double samplingFrequency, int synthesisModel, int numberOfFormants, double frameDuration, int glottalSource, double flutter, int outputType) { 1094 KlattGlobal thee = 0; 1095 KlattFrame frame = 0; 1096 try { 1097 integer numberOfSamples = 1, par [KlattTable_NPAR + 1]; 1098 1099 if (! KlattTable_checkLimits (me)) 1100 Melder_warning (U"Some values in the KlattTable are outside the limits; the resulting sound may sound weird."); 1101 thee = KlattGlobal_create (samplingFrequency); 1102 frame = KlattFrame_create (); 1103 autovector <short> iwave = newvectorzero<short> (MAX_SAM); 1104 thy samrate = Melder_ifloor (samplingFrequency); 1105 1106 KlattGlobal_init (thee, synthesisModel, numberOfFormants, glottalSource, frameDuration, Melder_ifloor (flutter), outputType); 1107 1108 autoSound him = Sound_createSimple (1, frameDuration * my rows.size, samplingFrequency); 1109 1110 for (integer irow = 1 ; irow <= my rows.size; irow ++) { 1111 for (integer col = 1; col <= KlattTable_NPAR; col ++) 1112 par [col] = Table_getNumericValue_Assert (me, irow, col); // ppgb: truncatie? 1113 integer jcol = 1; 1114 frame -> F0hz10 = par [jcol ++]; 1115 frame -> AVdb = par [jcol ++]; 1116 frame -> Fhz [1] = par [jcol ++]; 1117 frame -> Bhz [1] = par [jcol ++]; 1118 frame -> Fhz [2] = par [jcol ++]; 1119 frame -> Bhz [2] = par [jcol ++]; 1120 frame -> Fhz [3] = par [jcol ++]; 1121 frame -> Bhz [3] = par [jcol ++]; 1122 frame -> Fhz [4] = par [jcol ++]; 1123 frame -> Bhz [4] = par [jcol ++]; 1124 frame -> Fhz [5] = par [jcol ++]; 1125 frame -> Bhz [5] = par [jcol ++]; 1126 frame -> Fhz [6] = par [jcol ++]; 1127 frame -> Bhz [6] = par [jcol ++]; 1128 frame -> FNZhz = par [jcol ++]; 1129 frame -> BNZhz = par [jcol ++]; 1130 frame -> FNPhz = par [jcol ++]; 1131 frame -> BNPhz = par [jcol ++]; 1132 frame -> ah = par [jcol ++]; 1133 frame -> Kopen = par [jcol ++]; 1134 frame -> Aturb = par [jcol ++]; 1135 frame -> TLTdb = par [jcol ++]; 1136 frame -> AF = par [jcol ++]; 1137 frame -> Kskew = par [jcol ++]; 1138 frame -> A [1] = par [jcol ++]; 1139 frame -> Bphz [1] = par [jcol ++]; 1140 frame -> A [2] = par [jcol ++]; 1141 frame -> Bphz [2] = par [jcol ++]; 1142 frame -> A [3] = par [jcol ++]; 1143 frame -> Bphz [3] = par [jcol ++]; 1144 frame -> A [4] = par [jcol ++]; 1145 frame -> Bphz [4] = par [jcol ++]; 1146 frame -> A [5] = par [jcol ++]; 1147 frame -> Bphz [5] = par [jcol ++]; 1148 frame -> A [6] = par [jcol ++]; 1149 frame -> Bphz [6] = par [jcol ++]; 1150 frame -> ANP = par [jcol ++]; 1151 frame -> AB = par [jcol ++]; 1152 frame -> AVpdb = par [jcol ++]; 1153 frame -> Gain0 = par [jcol ++];; 1154 frame -> Fhz [7] = 6500; 1155 frame -> Bhz [7] = 600; 1156 frame -> Fhz [8] = 7500; 1157 frame -> Bhz [8] = 600; 1158 1159 KlattGlobal_getFrame (thee, frame); 1160 1161 KlattGlobal_synthesizeFrame (thee, iwave.get()); 1162 1163 for (integer isam = 1; isam <= thy nspfr; isam ++) 1164 his z [1] [numberOfSamples ++] = iwave [isam] / 32768.0; 1165 } 1166 KlattGlobal_free (thee); 1167 KlattFrame_free (frame); 1168 return him; 1169 } catch (MelderError) { 1170 KlattGlobal_free (thee); 1171 KlattFrame_free (frame); 1172 Melder_throw (me, U": no Sound created."); 1173 } 1174 } 1175 1176 autoKlattTable KlattTable_createExample () { 1177 const integer nrows = 1376; 1178 const struct klatt_params { 1179 short p [40]; 1180 } klatt_data [1376] = { 1181 {{ 1000, 0, 542, 0, 1372, 0, 2634, 0, 3737, 0, 5740, 0, 6914, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 52, 0, 56, 0, 71, 0, 66, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1182 {{ 1000, 0, 542, 0, 1372, 0, 2634, 0, 3737, 0, 5740, 0, 6914, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 52, 0, 56, 0, 71, 0, 66, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1183 {{ 1010, 0, 542, 0, 1372, 0, 2634, 0, 3737, 0, 5740, 0, 6914, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 52, 0, 56, 0, 71, 0, 66, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1184 {{ 1020, 0, 542, 0, 1372, 0, 2634, 0, 3737, 0, 5740, 0, 6914, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 52, 0, 56, 0, 71, 0, 66, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1185 {{ 1030, 0, 542, 0, 1372, 0, 2634, 0, 3737, 0, 5740, 0, 6914, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 52, 0, 56, 0, 71, 0, 66, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1186 {{ 1040, 0, 542, 0, 1372, 0, 2634, 0, 3737, 0, 5740, 0, 6914, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 52, 0, 56, 0, 71, 0, 66, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1187 {{ 1050, 0, 542, 0, 1372, 0, 2634, 0, 3737, 0, 5740, 0, 6914, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 52, 0, 56, 0, 71, 0, 66, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1188 {{ 1060, 0, 542, 0, 1372, 0, 2634, 0, 3737, 0, 5740, 0, 6914, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 52, 0, 56, 0, 71, 0, 66, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1189 {{ 1070, 0, 542, 0, 1372, 0, 2634, 0, 3737, 0, 5740, 0, 6914, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 52, 0, 56, 0, 71, 0, 66, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1190 {{ 1080, 0, 542, 0, 1372, 0, 2634, 0, 3737, 0, 5740, 0, 6914, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 52, 0, 56, 0, 71, 0, 66, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1191 {{ 1090, 0, 542, 0, 1372, 0, 2634, 0, 3737, 0, 5740, 0, 6914, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 52, 0, 56, 0, 71, 0, 66, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1192 {{ 1100, 0, 542, 0, 1372, 0, 2634, 0, 3737, 0, 5740, 0, 6914, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 52, 0, 56, 0, 71, 0, 66, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1193 {{ 1110, 0, 542, 0, 1372, 0, 2634, 0, 3737, 0, 5740, 0, 6914, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 52, 0, 56, 0, 71, 0, 66, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1194 {{ 1120, 0, 542, 0, 1372, 0, 2634, 0, 3737, 0, 5740, 0, 6914, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 52, 0, 56, 0, 71, 0, 66, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1195 {{ 1130, 0, 542, 0, 1372, 0, 2634, 0, 3737, 0, 5740, 0, 6914, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 52, 0, 56, 0, 71, 0, 66, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1196 {{ 1140, 0, 542, 0, 1372, 0, 2634, 0, 3737, 0, 5740, 0, 6914, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 52, 0, 56, 0, 71, 0, 66, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1197 {{ 1150, 0, 542, 0, 1372, 0, 2634, 0, 3737, 0, 5740, 0, 6914, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 52, 0, 56, 0, 71, 0, 66, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1198 {{ 1160, 0, 542, 0, 1372, 0, 2634, 0, 3737, 0, 5740, 0, 6914, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 52, 0, 56, 0, 71, 0, 66, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1199 {{ 1170, 0, 542, 0, 1372, 0, 2634, 0, 3737, 0, 5740, 0, 6914, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 52, 0, 56, 0, 71, 0, 66, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1200 {{ 1180, 0, 542, 0, 1372, 0, 2634, 0, 3737, 0, 5740, 0, 6914, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 52, 0, 56, 0, 71, 0, 66, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1201 {{ 1190, 0, 506, 0, 752, 0, 3029, 0, 3545, 0, 6301, 0, 7523, 0, 0, 0, 200, 30, 16, 60, 0, 0, 0, 0, 37, 41, 73, 79, 56, 108, 53, 65, 43, 80, 37, 80, 0, 0, 28, 60 }}, 1202 {{ 1200, 0, 506, 0, 752, 0, 3029, 0, 3545, 0, 6301, 0, 7523, 0, 0, 0, 200, 30, 16, 60, 0, 0, 0, 0, 37, 41, 73, 79, 56, 108, 53, 65, 43, 80, 37, 80, 0, 0, 31, 60 }}, 1203 {{ 1207, 0, 506, 0, 752, 0, 3029, 0, 3545, 0, 6301, 0, 7523, 0, 0, 0, 200, 30, 16, 60, 0, 0, 0, 0, 37, 41, 73, 79, 56, 108, 53, 65, 43, 80, 37, 80, 0, 0, 34, 60 }}, 1204 {{ 1214, 0, 506, 0, 752, 0, 3029, 0, 3545, 0, 6301, 0, 7523, 0, 0, 0, 200, 30, 16, 60, 0, 0, 0, 0, 37, 41, 73, 79, 56, 108, 53, 65, 43, 80, 37, 80, 0, 0, 36, 60 }}, 1205 {{ 1221, 0, 506, 0, 752, 0, 3029, 0, 3545, 0, 6301, 0, 7523, 0, 0, 0, 200, 30, 16, 60, 0, 0, 0, 0, 37, 41, 73, 79, 56, 108, 53, 65, 43, 80, 37, 80, 0, 0, 39, 60 }}, 1206 {{ 1228, 0, 506, 0, 752, 0, 3029, 0, 3545, 0, 6301, 0, 7523, 0, 0, 0, 200, 30, 16, 60, 0, 0, 0, 0, 37, 41, 73, 79, 56, 108, 53, 65, 43, 80, 37, 80, 0, 0, 42, 60 }}, 1207 {{ 1234, 0, 506, 0, 752, 0, 3029, 0, 3545, 0, 6301, 0, 7523, 0, 0, 0, 200, 30, 16, 60, 0, 0, 0, 0, 37, 41, 73, 79, 56, 108, 53, 65, 43, 80, 37, 80, 0, 0, 42, 60 }}, 1208 {{ 1241, 0, 506, 0, 752, 0, 3029, 0, 3545, 0, 6301, 0, 7523, 0, 0, 0, 200, 30, 16, 60, 0, 0, 0, 0, 37, 41, 73, 79, 56, 108, 53, 65, 43, 80, 37, 80, 0, 0, 42, 60 }}, 1209 {{ 1248, 0, 506, 0, 752, 0, 3029, 0, 3545, 0, 6301, 0, 7523, 0, 0, 0, 200, 30, 16, 60, 0, 0, 0, 0, 37, 41, 73, 79, 56, 108, 53, 65, 43, 80, 37, 80, 0, 0, 42, 60 }}, 1210 {{ 1255, 0, 506, 0, 752, 0, 3029, 0, 3545, 0, 6301, 0, 7523, 0, 0, 0, 200, 30, 16, 60, 0, 0, 0, 0, 37, 41, 73, 79, 56, 108, 53, 65, 43, 80, 37, 80, 0, 0, 42, 60 }}, 1211 {{ 1262, 0, 510, 0, 765, 0, 3006, 0, 3547, 0, 6283, 0, 7484, 0, 0, 0, 200, 30, 16, 60, 0, 0, 0, 0, 37, 42, 72, 78, 56, 106, 53, 65, 43, 80, 37, 80, 0, 0, 42, 60 }}, 1212 {{ 1269, 0, 518, 0, 792, 0, 2961, 0, 3552, 0, 6248, 0, 7407, 0, 0, 0, 200, 30, 16, 60, 0, 0, 0, 0, 38, 43, 71, 75, 56, 102, 53, 64, 43, 80, 37, 80, 0, 0, 44, 60 }}, 1213 {{ 1276, 0, 530, 0, 833, 0, 2899, 0, 3560, 0, 6197, 0, 7302, 0, 0, 0, 200, 30, 16, 60, 0, 0, 0, 0, 39, 45, 70, 71, 56, 98, 52, 63, 43, 80, 38, 80, 0, 0, 45, 60 }}, 1214 {{ 1282, 0, 543, 0, 892, 0, 2825, 0, 3572, 0, 6132, 0, 7176, 0, 0, 0, 200, 30, 16, 60, 0, 0, 0, 0, 41, 47, 67, 66, 55, 92, 51, 62, 43, 80, 38, 80, 0, 0, 46, 60 }}, 1215 {{ 1289, 0, 556, 0, 969, 0, 2749, 0, 3592, 0, 6055, 0, 7046, 0, 0, 0, 200, 30, 16, 60, 0, 0, 0, 0, 42, 50, 65, 62, 55, 86, 50, 61, 43, 80, 39, 80, 0, 0, 48, 60 }}, 1216 {{ 1296, 0, 567, 0, 1068, 0, 2680, 0, 3622, 0, 5969, 0, 6926, 0, 0, 0, 200, 30, 16, 60, 0, 0, 0, 0, 43, 52, 62, 58, 55, 81, 50, 61, 44, 80, 39, 80, 0, 0, 50, 60 }}, 1217 {{ 1303, 0, 573, 0, 1156, 0, 2642, 0, 3651, 0, 5903, 0, 6858, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 54, 61, 57, 56, 78, 50, 63, 44, 80, 39, 80, 0, 0, 51, 60 }}, 1218 {{ 1310, 0, 576, 0, 1230, 0, 2624, 0, 3677, 0, 5854, 0, 6823, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 55, 59, 56, 56, 76, 50, 64, 44, 80, 39, 80, 0, 0, 52, 60 }}, 1219 {{ 1322, 0, 576, 0, 1287, 0, 2617, 0, 3699, 0, 5819, 0, 6809, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 55, 59, 57, 56, 76, 50, 66, 44, 80, 39, 80, 0, 0, 54, 60 }}, 1220 {{ 1335, 0, 576, 0, 1326, 0, 2616, 0, 3714, 0, 5797, 0, 6806, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 55, 58, 57, 57, 75, 50, 67, 44, 80, 39, 80, 0, 0, 56, 60 }}, 1221 {{ 1348, 0, 575, 0, 1346, 0, 2617, 0, 3722, 0, 5786, 0, 6806, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 56, 58, 57, 57, 75, 50, 68, 44, 80, 39, 80, 0, 0, 57, 60 }}, 1222 {{ 1360, 0, 575, 0, 1346, 0, 2617, 0, 3722, 0, 5786, 0, 6806, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 56, 58, 57, 57, 75, 50, 68, 44, 80, 39, 80, 0, 0, 58, 60 }}, 1223 {{ 1372, 0, 575, 0, 1346, 0, 2617, 0, 3722, 0, 5786, 0, 6806, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 56, 58, 57, 57, 75, 50, 68, 44, 80, 39, 80, 0, 0, 60, 60 }}, 1224 {{ 1385, 0, 575, 0, 1346, 0, 2617, 0, 3722, 0, 5786, 0, 6806, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 56, 58, 57, 57, 75, 50, 68, 44, 80, 39, 80, 1, 0, 60, 60 }}, 1225 {{ 1398, 0, 575, 0, 1346, 0, 2617, 0, 3722, 0, 5786, 0, 6806, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 56, 58, 57, 57, 75, 50, 68, 44, 80, 39, 80, 3, 0, 59, 60 }}, 1226 {{ 1410, 0, 585, 0, 1342, 0, 2619, 0, 3715, 0, 5810, 0, 6804, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 56, 59, 58, 57, 79, 50, 68, 44, 80, 39, 80, 4, 0, 58, 60 }}, 1227 {{ 1422, 0, 603, 0, 1337, 0, 2628, 0, 3706, 0, 5849, 0, 6803, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 55, 60, 61, 58, 85, 51, 67, 44, 80, 40, 80, 6, 0, 56, 60 }}, 1228 {{ 1435, 0, 624, 0, 1341, 0, 2649, 0, 3705, 0, 5883, 0, 6805, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 51, 61, 65, 60, 95, 52, 65, 45, 80, 40, 80, 9, 0, 54, 60 }}, 1229 {{ 1448, 0, 643, 0, 1367, 0, 2692, 0, 3727, 0, 5885, 0, 6814, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 62, 72, 62, 110, 54, 61, 47, 80, 39, 80, 12, 0, 51, 60 }}, 1230 {{ 1460, 0, 650, 0, 1417, 0, 2754, 0, 3776, 0, 5837, 0, 6833, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 63, 80, 65, 125, 56, 56, 49, 80, 39, 80, 16, 0, 49, 60 }}, 1231 {{ 1460, 0, 649, 0, 1470, 0, 2811, 0, 3830, 0, 5769, 0, 6852, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 63, 87, 68, 137, 58, 51, 52, 80, 38, 80, 19, 0, 47, 60 }}, 1232 {{ 1460, 0, 644, 0, 1513, 0, 2855, 0, 3874, 0, 5707, 0, 6867, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 63, 92, 70, 145, 60, 47, 54, 80, 37, 80, 23, 0, 46, 60 }}, 1233 {{ 1460, 0, 641, 0, 1537, 0, 2879, 0, 3899, 0, 5672, 0, 6876, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 63, 94, 71, 149, 60, 45, 55, 80, 37, 80, 26, 0, 45, 60 }}, 1234 {{ 1460, 0, 641, 0, 1537, 0, 2879, 0, 3899, 0, 5672, 0, 6876, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 63, 94, 71, 149, 60, 45, 55, 80, 37, 80, 29, 0, 45, 60 }}, 1235 {{ 1460, 0, 640, 0, 1543, 0, 2885, 0, 3905, 0, 5663, 0, 6878, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 63, 95, 71, 150, 61, 44, 56, 80, 37, 80, 31, 0, 45, 60 }}, 1236 {{ 1460, 0, 640, 0, 1543, 0, 2885, 0, 3905, 0, 5663, 0, 6878, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 63, 95, 71, 150, 61, 44, 56, 80, 37, 80, 32, 0, 45, 60 }}, 1237 {{ 1460, 0, 640, 0, 1543, 0, 2885, 0, 3905, 0, 5663, 0, 6878, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 63, 95, 71, 150, 61, 44, 56, 80, 37, 80, 34, 0, 45, 60 }}, 1238 {{ 1460, 0, 640, 0, 1543, 0, 2885, 0, 3905, 0, 5663, 0, 6878, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 63, 95, 71, 150, 61, 44, 56, 80, 37, 80, 35, 0, 45, 60 }}, 1239 {{ 1460, 0, 640, 0, 1543, 0, 2885, 0, 3905, 0, 5663, 0, 6878, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 63, 95, 71, 150, 61, 44, 56, 80, 37, 80, 35, 0, 45, 60 }}, 1240 {{ 1460, 0, 640, 0, 1543, 0, 2885, 0, 3905, 0, 5663, 0, 6878, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 63, 95, 71, 150, 61, 44, 56, 80, 37, 80, 35, 0, 45, 60 }}, 1241 {{ 1460, 0, 640, 0, 1540, 0, 2882, 0, 3903, 0, 5668, 0, 6876, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 63, 94, 71, 149, 61, 45, 55, 80, 37, 80, 35, 0, 45, 60 }}, 1242 {{ 1460, 0, 641, 0, 1532, 0, 2876, 0, 3899, 0, 5677, 0, 6872, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 63, 94, 70, 148, 60, 45, 55, 80, 37, 80, 35, 0, 45, 60 }}, 1243 {{ 1460, 0, 642, 0, 1522, 0, 2868, 0, 3894, 0, 5691, 0, 6867, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 63, 92, 70, 146, 60, 46, 55, 80, 37, 80, 35, 0, 45, 60 }}, 1244 {{ 1460, 0, 643, 0, 1509, 0, 2856, 0, 3886, 0, 5709, 0, 6861, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 63, 91, 69, 143, 60, 47, 54, 80, 37, 80, 35, 0, 45, 60 }}, 1245 {{ 1460, 0, 644, 0, 1493, 0, 2843, 0, 3877, 0, 5730, 0, 6855, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 63, 89, 69, 140, 59, 48, 53, 80, 38, 80, 35, 0, 45, 60 }}, 1246 {{ 1460, 0, 644, 0, 1477, 0, 2827, 0, 3866, 0, 5753, 0, 6849, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 63, 87, 68, 136, 59, 50, 52, 80, 38, 80, 35, 0, 45, 60 }}, 1247 {{ 1460, 0, 643, 0, 1461, 0, 2809, 0, 3853, 0, 5779, 0, 6846, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 63, 84, 67, 132, 58, 51, 51, 80, 38, 80, 35, 0, 45, 60 }}, 1248 {{ 1460, 0, 641, 0, 1447, 0, 2789, 0, 3839, 0, 5804, 0, 6846, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 62, 81, 66, 127, 57, 53, 50, 80, 39, 80, 35, 0, 45, 60 }}, 1249 {{ 1460, 0, 636, 0, 1435, 0, 2769, 0, 3824, 0, 5829, 0, 6850, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 62, 79, 65, 121, 57, 55, 49, 80, 39, 80, 35, 0, 45, 60 }}, 1250 {{ 1460, 0, 629, 0, 1428, 0, 2747, 0, 3808, 0, 5852, 0, 6860, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 61, 76, 64, 116, 56, 57, 48, 80, 39, 80, 35, 0, 45, 60 }}, 1251 {{ 1460, 0, 618, 0, 1428, 0, 2725, 0, 3791, 0, 5870, 0, 6879, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 61, 73, 63, 110, 55, 58, 47, 80, 39, 80, 35, 0, 45, 60 }}, 1252 {{ 1460, 0, 603, 0, 1436, 0, 2703, 0, 3773, 0, 5884, 0, 6908, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 60, 70, 62, 103, 55, 60, 47, 80, 39, 80, 35, 0, 45, 60 }}, 1253 {{ 1460, 0, 583, 0, 1454, 0, 2682, 0, 3755, 0, 5890, 0, 6950, 0, 0, 0, 200, 30, 0, 60, 0, 0, 48, 0, 0, 40, 35, 40, 50, 50, 65, 100, 75, 200, 65, 100, 35, 0, 0, 60 }}, 1254 {{ 1460, 0, 561, 0, 1481, 0, 2665, 0, 3740, 0, 5888, 0, 6997, 0, 0, 0, 200, 30, 0, 60, 0, 0, 48, 0, 0, 40, 35, 40, 50, 50, 65, 100, 75, 200, 65, 100, 35, 0, 0, 60 }}, 1255 {{ 1460, 0, 538, 0, 1513, 0, 2651, 0, 3726, 0, 5879, 0, 7049, 0, 0, 0, 200, 30, 0, 60, 0, 0, 48, 0, 0, 40, 35, 40, 50, 50, 65, 100, 75, 200, 65, 100, 35, 0, 0, 60 }}, 1256 {{ 1460, 0, 514, 0, 1548, 0, 2640, 0, 3715, 0, 5866, 0, 7102, 0, 0, 0, 200, 30, 0, 60, 0, 0, 48, 0, 0, 40, 35, 40, 50, 50, 65, 100, 75, 200, 65, 100, 35, 0, 0, 60 }}, 1257 {{ 1460, 0, 491, 0, 1586, 0, 2632, 0, 3705, 0, 5849, 0, 7155, 0, 0, 0, 200, 30, 0, 60, 0, 0, 48, 0, 0, 40, 35, 40, 50, 50, 65, 100, 75, 200, 65, 100, 35, 0, 0, 60 }}, 1258 {{ 1460, 0, 468, 0, 1623, 0, 2625, 0, 3697, 0, 5831, 0, 7206, 0, 0, 0, 200, 30, 0, 60, 0, 0, 48, 0, 0, 40, 35, 40, 50, 50, 65, 100, 75, 200, 65, 100, 35, 0, 0, 60 }}, 1259 {{ 1460, 0, 448, 0, 1659, 0, 2620, 0, 3690, 0, 5813, 0, 7254, 0, 0, 0, 200, 30, 0, 60, 0, 0, 48, 0, 0, 40, 35, 40, 50, 50, 65, 100, 75, 200, 65, 100, 35, 0, 0, 60 }}, 1260 {{ 1460, 0, 429, 0, 1692, 0, 2617, 0, 3684, 0, 5795, 0, 7298, 0, 0, 0, 200, 30, 0, 60, 0, 0, 48, 0, 0, 40, 35, 40, 50, 50, 65, 100, 75, 200, 65, 100, 35, 0, 0, 60 }}, 1261 {{ 1460, 0, 413, 0, 1722, 0, 2614, 0, 3680, 0, 5778, 0, 7336, 0, 0, 0, 200, 30, 0, 60, 0, 0, 48, 0, 0, 40, 35, 40, 50, 50, 65, 100, 75, 200, 65, 100, 35, 0, 0, 60 }}, 1262 {{ 1460, 0, 399, 0, 1746, 0, 2612, 0, 3676, 0, 5764, 0, 7368, 0, 0, 0, 200, 30, 0, 60, 0, 0, 48, 0, 0, 40, 35, 40, 50, 50, 65, 100, 75, 200, 65, 100, 35, 0, 0, 60 }}, 1263 {{ 1460, 0, 389, 0, 1765, 0, 2611, 0, 3674, 0, 5753, 0, 7392, 0, 0, 0, 200, 30, 0, 60, 0, 0, 48, 0, 0, 40, 35, 40, 50, 50, 65, 100, 75, 200, 65, 100, 35, 0, 0, 60 }}, 1264 {{ 1460, 0, 382, 0, 1779, 0, 2610, 0, 3672, 0, 5746, 0, 7409, 0, 0, 0, 200, 30, 0, 60, 0, 0, 48, 0, 0, 40, 35, 40, 50, 50, 65, 100, 75, 200, 65, 100, 35, 0, 0, 60 }}, 1265 {{ 1460, 0, 379, 0, 1785, 0, 2610, 0, 3672, 0, 5742, 0, 7417, 0, 0, 0, 200, 30, 0, 60, 0, 0, 48, 0, 0, 40, 35, 40, 50, 50, 65, 100, 75, 200, 65, 100, 35, 0, 0, 60 }}, 1266 {{ 1460, 0, 379, 0, 1785, 0, 2610, 0, 3672, 0, 5742, 0, 7417, 0, 0, 0, 200, 30, 0, 60, 0, 0, 48, 0, 0, 40, 35, 40, 50, 50, 65, 100, 75, 200, 65, 100, 35, 0, 0, 60 }}, 1267 {{ 1460, 0, 379, 0, 1785, 0, 2610, 0, 3672, 0, 5742, 0, 7417, 0, 0, 0, 200, 30, 0, 60, 0, 0, 48, 0, 0, 40, 35, 40, 50, 50, 65, 100, 75, 200, 65, 100, 35, 0, 0, 60 }}, 1268 {{ 1460, 0, 379, 0, 1785, 0, 2610, 0, 3672, 0, 5742, 0, 7417, 0, 0, 0, 200, 30, 0, 60, 0, 0, 48, 0, 0, 40, 35, 40, 50, 50, 65, 100, 75, 200, 65, 100, 35, 0, 0, 60 }}, 1269 {{ 1460, 0, 379, 0, 1785, 0, 2610, 0, 3672, 0, 5742, 0, 7417, 0, 0, 0, 200, 30, 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0, 60, 0, 0, 0, 0, 0, 35, 0, 64, 0, 67, 0, 63, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1801 {{ 927, 0, 379, 0, 1785, 0, 2610, 0, 3672, 0, 5742, 0, 7417, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 35, 0, 64, 0, 67, 0, 63, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1802 {{ 927, 0, 379, 0, 1785, 0, 2610, 0, 3672, 0, 5742, 0, 7417, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 35, 0, 64, 0, 67, 0, 63, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1803 {{ 928, 0, 379, 0, 1785, 0, 2610, 0, 3672, 0, 5742, 0, 7417, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 35, 0, 64, 0, 67, 0, 63, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1804 {{ 928, 0, 379, 0, 1785, 0, 2610, 0, 3672, 0, 5742, 0, 7417, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 35, 0, 64, 0, 67, 0, 63, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1805 {{ 928, 0, 379, 0, 1785, 0, 2610, 0, 3672, 0, 5742, 0, 7417, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 35, 0, 64, 0, 67, 0, 63, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1806 {{ 929, 0, 379, 0, 1785, 0, 2610, 0, 3672, 0, 5742, 0, 7417, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 35, 0, 64, 0, 67, 0, 63, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1807 {{ 929, 0, 379, 0, 1785, 0, 2610, 0, 3672, 0, 5742, 0, 7417, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 35, 0, 64, 0, 67, 0, 63, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1808 {{ 930, 0, 379, 0, 1785, 0, 2610, 0, 3672, 0, 5742, 0, 7417, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 35, 0, 64, 0, 67, 0, 63, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1809 {{ 930, 0, 379, 0, 1785, 0, 2610, 0, 3672, 0, 5742, 0, 7417, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 35, 0, 64, 0, 67, 0, 63, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1810 {{ 930, 0, 379, 0, 1785, 0, 2610, 0, 3672, 0, 5742, 0, 7417, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 35, 0, 64, 0, 67, 0, 63, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1811 {{ 931, 0, 379, 0, 1785, 0, 2610, 0, 3672, 0, 5742, 0, 7417, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 35, 0, 64, 0, 67, 0, 63, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1812 {{ 931, 0, 379, 0, 1785, 0, 2610, 0, 3672, 0, 5742, 0, 7417, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 35, 0, 64, 0, 67, 0, 63, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1813 {{ 932, 0, 379, 0, 1785, 0, 2610, 0, 3672, 0, 5742, 0, 7417, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 35, 0, 64, 0, 67, 0, 63, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1814 {{ 932, 0, 379, 0, 1785, 0, 2610, 0, 3672, 0, 5742, 0, 7417, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 35, 0, 64, 0, 67, 0, 63, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1815 {{ 932, 0, 379, 0, 1785, 0, 2610, 0, 3672, 0, 5742, 0, 7417, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 35, 0, 64, 0, 67, 0, 63, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1816 {{ 933, 0, 379, 0, 1785, 0, 2610, 0, 3672, 0, 5742, 0, 7417, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 35, 0, 64, 0, 67, 0, 63, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1817 {{ 933, 0, 379, 0, 1785, 0, 2610, 0, 3672, 0, 5742, 0, 7417, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 35, 0, 64, 0, 67, 0, 63, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1818 {{ 934, 0, 379, 0, 1785, 0, 2610, 0, 3672, 0, 5742, 0, 7417, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 35, 0, 64, 0, 67, 0, 63, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1819 {{ 934, 0, 379, 0, 1785, 0, 2610, 0, 3672, 0, 5742, 0, 7417, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 35, 0, 64, 0, 67, 0, 63, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1820 {{ 934, 0, 379, 0, 1785, 0, 2610, 0, 3672, 0, 5742, 0, 7417, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 35, 0, 64, 0, 67, 0, 63, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1821 {{ 935, 0, 379, 0, 1785, 0, 2610, 0, 3672, 0, 5742, 0, 7417, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 35, 0, 64, 0, 67, 0, 63, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1822 {{ 935, 0, 379, 0, 1785, 0, 2610, 0, 3672, 0, 5742, 0, 7417, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 35, 0, 64, 0, 67, 0, 63, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1823 {{ 936, 0, 379, 0, 1785, 0, 2610, 0, 3672, 0, 5742, 0, 7417, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 35, 0, 64, 0, 67, 0, 63, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1824 {{ 936, 0, 379, 0, 1785, 0, 2610, 0, 3672, 0, 5742, 0, 7417, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 35, 0, 64, 0, 67, 0, 63, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1825 {{ 936, 0, 379, 0, 1785, 0, 2610, 0, 3672, 0, 5742, 0, 7417, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 35, 0, 64, 0, 67, 0, 63, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1826 {{ 937, 0, 379, 0, 1785, 0, 2610, 0, 3672, 0, 5742, 0, 7417, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 35, 0, 64, 0, 67, 0, 63, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1827 {{ 937, 0, 379, 0, 1785, 0, 2610, 0, 3672, 0, 5742, 0, 7417, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 35, 0, 64, 0, 67, 0, 63, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1828 {{ 938, 0, 379, 0, 1785, 0, 2610, 0, 3672, 0, 5742, 0, 7417, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 35, 0, 64, 0, 67, 0, 63, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1829 {{ 938, 0, 379, 0, 1785, 0, 2610, 0, 3672, 0, 5742, 0, 7417, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 35, 0, 64, 0, 67, 0, 63, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1830 {{ 938, 0, 379, 0, 1785, 0, 2610, 0, 3672, 0, 5742, 0, 7417, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 35, 0, 64, 0, 67, 0, 63, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1831 {{ 939, 0, 379, 0, 1785, 0, 2610, 0, 3672, 0, 5742, 0, 7417, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 35, 0, 64, 0, 67, 0, 63, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1832 {{ 939, 0, 379, 0, 1785, 0, 2610, 0, 3672, 0, 5742, 0, 7417, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 35, 0, 64, 0, 67, 0, 63, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1833 {{ 940, 0, 591, 0, 1313, 0, 2691, 0, 3779, 0, 5717, 0, 6857, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 57, 56, 57, 75, 51, 70, 44, 80, 40, 80, 30, 0, 39, 60 }}, 1834 {{ 940, 0, 591, 0, 1313, 0, 2691, 0, 3779, 0, 5717, 0, 6857, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 57, 56, 57, 75, 51, 70, 44, 80, 40, 80, 30, 0, 42, 60 }}, 1835 {{ 945, 0, 591, 0, 1313, 0, 2691, 0, 3779, 0, 5717, 0, 6857, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 57, 56, 57, 75, 51, 70, 44, 80, 40, 80, 30, 0, 45, 60 }}, 1836 {{ 950, 0, 591, 0, 1313, 0, 2691, 0, 3779, 0, 5717, 0, 6857, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 57, 56, 57, 75, 51, 70, 44, 80, 40, 80, 30, 0, 45, 60 }}, 1837 {{ 955, 0, 591, 0, 1313, 0, 2691, 0, 3779, 0, 5717, 0, 6857, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 57, 56, 57, 75, 51, 70, 44, 80, 40, 80, 30, 0, 45, 60 }}, 1838 {{ 960, 0, 590, 0, 1314, 0, 2690, 0, 3779, 0, 5720, 0, 6856, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 57, 56, 57, 75, 51, 70, 44, 80, 40, 80, 30, 0, 45, 60 }}, 1839 {{ 965, 0, 589, 0, 1315, 0, 2688, 0, 3777, 0, 5724, 0, 6853, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 57, 56, 57, 75, 51, 70, 44, 80, 40, 80, 30, 0, 45, 60 }}, 1840 {{ 970, 0, 588, 0, 1317, 0, 2683, 0, 3774, 0, 5730, 0, 6850, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 57, 56, 57, 75, 51, 69, 44, 80, 40, 80, 30, 0, 46, 60 }}, 1841 {{ 975, 0, 587, 0, 1319, 0, 2678, 0, 3770, 0, 5737, 0, 6844, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 57, 56, 57, 75, 51, 69, 44, 80, 40, 80, 30, 0, 49, 60 }}, 1842 {{ 980, 0, 585, 0, 1323, 0, 2670, 0, 3764, 0, 5746, 0, 6838, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 58, 57, 57, 75, 51, 69, 44, 80, 40, 80, 30, 0, 52, 60 }}, 1843 {{ 985, 0, 583, 0, 1327, 0, 2660, 0, 3757, 0, 5756, 0, 6831, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 54, 58, 57, 57, 75, 51, 69, 44, 80, 40, 80, 0, 0, 56, 60 }}, 1844 {{ 990, 0, 580, 0, 1332, 0, 2649, 0, 3748, 0, 5766, 0, 6824, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 55, 58, 57, 57, 75, 50, 69, 44, 80, 40, 80, 0, 0, 58, 60 }}, 1845 {{ 994, 0, 579, 0, 1337, 0, 2639, 0, 3740, 0, 5773, 0, 6818, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 55, 58, 57, 57, 75, 50, 68, 44, 80, 39, 80, 0, 0, 60, 60 }}, 1846 {{ 998, 0, 577, 0, 1340, 0, 2631, 0, 3733, 0, 5778, 0, 6813, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 55, 58, 57, 57, 75, 50, 68, 44, 80, 39, 80, 0, 0, 60, 60 }}, 1847 {{ 1001, 0, 576, 0, 1343, 0, 2624, 0, 3728, 0, 5782, 0, 6810, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 55, 58, 57, 57, 75, 50, 68, 44, 80, 39, 80, 0, 0, 60, 60 }}, 1848 {{ 1005, 0, 576, 0, 1345, 0, 2620, 0, 3724, 0, 5785, 0, 6807, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 56, 58, 57, 57, 75, 50, 68, 44, 80, 39, 80, 0, 0, 60, 60 }}, 1849 {{ 1009, 0, 575, 0, 1346, 0, 2618, 0, 3722, 0, 5786, 0, 6806, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 56, 58, 57, 57, 75, 50, 68, 44, 80, 39, 80, 0, 0, 60, 60 }}, 1850 {{ 1012, 0, 575, 0, 1346, 0, 2618, 0, 3722, 0, 5786, 0, 6806, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 56, 58, 57, 57, 75, 50, 68, 44, 80, 39, 80, 0, 0, 60, 60 }}, 1851 {{ 1016, 0, 575, 0, 1346, 0, 2617, 0, 3722, 0, 5786, 0, 6806, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 56, 58, 57, 57, 75, 50, 68, 44, 80, 39, 80, 1, 0, 60, 60 }}, 1852 {{ 1020, 0, 575, 0, 1346, 0, 2617, 0, 3722, 0, 5786, 0, 6806, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 56, 58, 57, 57, 75, 50, 68, 44, 80, 39, 80, 2, 0, 60, 60 }}, 1853 {{ 1024, 0, 575, 0, 1346, 0, 2617, 0, 3722, 0, 5786, 0, 6806, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 56, 58, 57, 57, 75, 50, 68, 44, 80, 39, 80, 3, 0, 60, 60 }}, 1854 {{ 1028, 0, 575, 0, 1346, 0, 2617, 0, 3722, 0, 5786, 0, 6806, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 56, 58, 57, 57, 75, 50, 68, 44, 80, 39, 80, 5, 0, 59, 60 }}, 1855 {{ 1031, 0, 557, 0, 1344, 0, 2602, 0, 3692, 0, 5820, 0, 6861, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 43, 55, 58, 58, 57, 76, 51, 65, 44, 80, 39, 80, 8, 0, 58, 60 }}, 1856 {{ 1035, 0, 519, 0, 1335, 0, 2584, 0, 3639, 0, 5871, 0, 6953, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 43, 54, 58, 59, 57, 78, 51, 60, 45, 80, 38, 80, 11, 0, 56, 60 }}, 1857 {{ 1039, 0, 464, 0, 1308, 0, 2584, 0, 3578, 0, 5904, 0, 7046, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 43, 56, 58, 59, 57, 80, 53, 56, 44, 80, 38, 80, 15, 0, 53, 60 }}, 1858 {{ 1042, 0, 409, 0, 1265, 0, 2617, 0, 3538, 0, 5885, 0, 7085, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 42, 61, 58, 58, 58, 82, 54, 54, 43, 80, 38, 80, 19, 0, 50, 60 }}, 1859 {{ 1046, 0, 373, 0, 1227, 0, 2658, 0, 3524, 0, 5844, 0, 7080, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 57, 57, 58, 83, 55, 55, 42, 80, 39, 80, 22, 0, 47, 60 }}, 1860 {{ 1050, 0, 355, 0, 1205, 0, 2684, 0, 3520, 0, 5815, 0, 7069, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 57, 56, 58, 83, 55, 55, 41, 80, 39, 80, 25, 0, 46, 60 }}, 1861 {{ 1055, 0, 355, 0, 1205, 0, 2684, 0, 3520, 0, 5815, 0, 7069, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 57, 56, 58, 83, 55, 55, 41, 80, 39, 80, 27, 0, 45, 60 }}, 1862 {{ 1060, 0, 267, 0, 1676, 0, 2414, 0, 3530, 0, 5966, 0, 7193, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 52, 55, 55, 46, 50, 47, 47, 80, 33, 80, 28, 0, 45, 60 }}, 1863 {{ 1065, 0, 267, 0, 1676, 0, 2414, 0, 3530, 0, 5966, 0, 7193, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 52, 55, 55, 46, 50, 47, 47, 80, 33, 80, 29, 0, 45, 60 }}, 1864 {{ 1070, 0, 267, 0, 1676, 0, 2414, 0, 3530, 0, 5966, 0, 7193, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 52, 55, 55, 46, 50, 47, 47, 80, 33, 80, 30, 0, 45, 60 }}, 1865 {{ 1075, 0, 267, 0, 1676, 0, 2414, 0, 3530, 0, 5966, 0, 7193, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 52, 55, 55, 46, 50, 47, 47, 80, 33, 80, 30, 0, 45, 60 }}, 1866 {{ 1080, 0, 268, 0, 1679, 0, 2416, 0, 3528, 0, 5969, 0, 7190, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 52, 55, 55, 47, 50, 47, 47, 80, 33, 80, 30, 0, 45, 60 }}, 1867 {{ 1085, 0, 271, 0, 1685, 0, 2420, 0, 3523, 0, 5974, 0, 7184, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 52, 56, 55, 50, 50, 48, 47, 80, 33, 80, 30, 0, 45, 60 }}, 1868 {{ 1090, 0, 275, 0, 1695, 0, 2427, 0, 3517, 0, 5978, 0, 7174, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 52, 57, 56, 53, 50, 49, 46, 80, 33, 80, 30, 0, 46, 60 }}, 1869 {{ 1095, 0, 279, 0, 1709, 0, 2438, 0, 3510, 0, 5980, 0, 7159, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 52, 58, 56, 58, 51, 51, 46, 80, 33, 80, 30, 0, 47, 60 }}, 1870 {{ 1100, 0, 284, 0, 1730, 0, 2454, 0, 3504, 0, 5974, 0, 7139, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 52, 59, 57, 64, 52, 53, 45, 80, 34, 80, 30, 0, 49, 60 }}, 1871 {{ 1105, 0, 289, 0, 1759, 0, 2477, 0, 3501, 0, 5956, 0, 7110, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 52, 61, 58, 72, 52, 55, 45, 80, 34, 80, 30, 0, 51, 60 }}, 1872 {{ 1110, 0, 293, 0, 1797, 0, 2509, 0, 3503, 0, 5919, 0, 7073, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 52, 63, 59, 82, 54, 58, 45, 80, 34, 80, 30, 0, 54, 60 }}, 1873 {{ 1115, 0, 295, 0, 1848, 0, 2553, 0, 3513, 0, 5857, 0, 7024, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 39, 56, 52, 66, 61, 94, 55, 61, 44, 80, 35, 80, 0, 0, 56, 60 }}, 1874 {{ 1120, 0, 295, 0, 1906, 0, 2605, 0, 3530, 0, 5773, 0, 6968, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 38, 53, 51, 69, 63, 106, 56, 64, 44, 80, 35, 80, 0, 0, 58, 60 }}, 1875 {{ 1122, 0, 294, 0, 1963, 0, 2656, 0, 3552, 0, 5682, 0, 6914, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 37, 49, 51, 71, 64, 118, 58, 67, 44, 80, 35, 80, 0, 0, 59, 60 }}, 1876 {{ 1123, 0, 291, 0, 2016, 0, 2705, 0, 3575, 0, 5591, 0, 6864, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 37, 46, 50, 74, 66, 128, 59, 69, 44, 80, 35, 80, 0, 0, 60, 60 }}, 1877 {{ 1124, 0, 288, 0, 2064, 0, 2748, 0, 3598, 0, 5506, 0, 6820, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 36, 42, 49, 75, 67, 137, 60, 71, 44, 80, 35, 80, 0, 0, 60, 60 }}, 1878 {{ 1126, 0, 285, 0, 2104, 0, 2786, 0, 3618, 0, 5432, 0, 6782, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 35, 39, 49, 77, 68, 144, 61, 73, 44, 80, 35, 80, 0, 0, 60, 60 }}, 1879 {{ 1128, 0, 282, 0, 2135, 0, 2815, 0, 3634, 0, 5373, 0, 6753, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 35, 37, 48, 78, 69, 150, 61, 74, 45, 80, 35, 80, 0, 0, 59, 60 }}, 1880 {{ 1129, 0, 280, 0, 2156, 0, 2834, 0, 3646, 0, 5332, 0, 6733, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 34, 35, 48, 79, 70, 154, 62, 74, 45, 80, 35, 80, 0, 0, 58, 60 }}, 1881 {{ 1131, 0, 279, 0, 2167, 0, 2845, 0, 3652, 0, 5310, 0, 6723, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 34, 34, 48, 79, 70, 155, 62, 75, 45, 80, 35, 80, 0, 0, 56, 60 }}, 1882 {{ 1132, 0, 279, 0, 2167, 0, 2845, 0, 3652, 0, 5310, 0, 6723, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 34, 34, 48, 79, 70, 155, 62, 75, 45, 80, 35, 80, 0, 0, 53, 60 }}, 1883 {{ 1134, 0, 294, 0, 2129, 0, 2830, 0, 3654, 0, 5340, 0, 6735, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 34, 35, 48, 79, 69, 153, 62, 74, 45, 80, 35, 80, 0, 0, 49, 60 }}, 1884 {{ 1135, 0, 323, 0, 2048, 0, 2798, 0, 3656, 0, 5407, 0, 6764, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 35, 37, 50, 78, 69, 147, 61, 71, 45, 80, 36, 80, 0, 0, 45, 60 }}, 1885 {{ 1137, 0, 364, 0, 1931, 0, 2758, 0, 3661, 0, 5500, 0, 6803, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 36, 39, 52, 77, 67, 139, 60, 68, 46, 80, 36, 80, 0, 0, 39, 60 }}, 1886 {{ 1138, 0, 417, 0, 1783, 0, 2719, 0, 3671, 0, 5609, 0, 6850, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 38, 41, 54, 75, 66, 129, 58, 65, 46, 80, 37, 80, 0, 0, 35, 60 }}, 1887 {{ 1140, 0, 476, 0, 1610, 0, 2693, 0, 3688, 0, 5722, 0, 6900, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 39, 44, 57, 73, 64, 118, 57, 61, 46, 80, 37, 80, 0, 0, 31, 60 }}, 1888 {{ 1141, 0, 519, 0, 1482, 0, 2690, 0, 3707, 0, 5793, 0, 6932, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 41, 45, 59, 71, 63, 110, 56, 59, 46, 80, 38, 80, 0, 0, 28, 60 }}, 1889 {{ 1143, 0, 549, 0, 1391, 0, 2698, 0, 3723, 0, 5836, 0, 6952, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 41, 46, 60, 70, 62, 104, 55, 57, 47, 80, 38, 80, 0, 0, 26, 60 }}, 1890 {{ 1144, 0, 568, 0, 1333, 0, 2708, 0, 3735, 0, 5859, 0, 6963, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 42, 46, 61, 69, 61, 101, 55, 57, 47, 80, 39, 80, 0, 0, 25, 60 }}, 1891 {{ 1146, 0, 576, 0, 1305, 0, 2715, 0, 3741, 0, 5869, 0, 6968, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 42, 47, 61, 69, 61, 99, 55, 56, 47, 80, 39, 80, 0, 0, 24, 60 }}, 1892 {{ 1147, 0, 576, 0, 1305, 0, 2715, 0, 3741, 0, 5869, 0, 6968, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 42, 47, 61, 69, 61, 99, 55, 56, 47, 80, 39, 80, 0, 0, 24, 60 }}, 1893 {{ 1149, 0, 279, 0, 2170, 0, 2847, 0, 3653, 0, 5305, 0, 6720, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 34, 0, 79, 0, 156, 0, 75, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1894 {{ 1150, 0, 279, 0, 2170, 0, 2847, 0, 3653, 0, 5305, 0, 6720, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 34, 0, 79, 0, 156, 0, 75, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1895 {{ 1154, 0, 279, 0, 2170, 0, 2847, 0, 3653, 0, 5305, 0, 6720, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 34, 0, 79, 0, 156, 0, 75, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1896 {{ 1157, 0, 279, 0, 2170, 0, 2847, 0, 3653, 0, 5305, 0, 6720, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 34, 0, 79, 0, 156, 0, 75, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1897 {{ 1161, 0, 279, 0, 2170, 0, 2847, 0, 3653, 0, 5305, 0, 6720, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 34, 0, 79, 0, 156, 0, 75, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1898 {{ 1164, 0, 279, 0, 2170, 0, 2847, 0, 3653, 0, 5305, 0, 6720, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 34, 0, 79, 0, 156, 0, 75, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1899 {{ 1168, 0, 279, 0, 2170, 0, 2847, 0, 3653, 0, 5305, 0, 6720, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 34, 0, 79, 0, 156, 0, 75, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1900 {{ 1171, 0, 279, 0, 2170, 0, 2847, 0, 3653, 0, 5305, 0, 6720, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 34, 0, 79, 0, 156, 0, 75, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1901 {{ 1175, 0, 279, 0, 2170, 0, 2847, 0, 3653, 0, 5305, 0, 6720, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 34, 0, 79, 0, 156, 0, 75, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1902 {{ 1179, 0, 279, 0, 2170, 0, 2847, 0, 3653, 0, 5305, 0, 6720, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 34, 0, 79, 0, 156, 0, 75, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1903 {{ 1182, 0, 279, 0, 2170, 0, 2847, 0, 3653, 0, 5305, 0, 6720, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 34, 0, 79, 0, 156, 0, 75, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1904 {{ 1186, 0, 279, 0, 2170, 0, 2847, 0, 3653, 0, 5305, 0, 6720, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 34, 0, 79, 0, 156, 0, 75, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1905 {{ 1189, 0, 279, 0, 2170, 0, 2847, 0, 3653, 0, 5305, 0, 6720, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 34, 0, 79, 0, 156, 0, 75, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1906 {{ 1193, 0, 279, 0, 2170, 0, 2847, 0, 3653, 0, 5305, 0, 6720, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 34, 0, 79, 0, 156, 0, 75, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1907 {{ 1196, 0, 462, 0, 1513, 0, 2553, 0, 3535, 0, 5746, 0, 6910, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 100, 50, 100, 50, 100, 50, 100, 35, 100, 0, 100, 0, 0, 60, 60 }}, 1908 {{ 1200, 0, 466, 0, 1520, 0, 2560, 0, 3550, 0, 5757, 0, 6909, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 100, 50, 100, 50, 100, 50, 100, 35, 100, 0, 100, 0, 0, 60, 60 }}, 1909 {{ 1235, 0, 474, 0, 1530, 0, 2570, 0, 3573, 0, 5773, 0, 6909, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 40, 49, 58, 68, 61, 104, 54, 62, 45, 80, 37, 80, 0, 0, 50, 60 }}, 1910 {{ 1270, 0, 484, 0, 1544, 0, 2585, 0, 3603, 0, 5793, 0, 6911, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 41, 49, 58, 68, 61, 103, 54, 62, 45, 80, 37, 80, 0, 0, 51, 60 }}, 1911 {{ 1276, 0, 496, 0, 1563, 0, 2603, 0, 3638, 0, 5816, 0, 6916, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 41, 49, 58, 68, 61, 102, 54, 62, 45, 80, 37, 80, 0, 0, 53, 60 }}, 1912 {{ 1282, 0, 512, 0, 1587, 0, 2626, 0, 3679, 0, 5840, 0, 6927, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 41, 50, 58, 69, 62, 101, 55, 63, 46, 80, 37, 80, 0, 0, 55, 60 }}, 1913 {{ 1288, 0, 530, 0, 1616, 0, 2654, 0, 3722, 0, 5864, 0, 6945, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 42, 50, 58, 70, 62, 101, 55, 65, 46, 80, 38, 80, 0, 0, 57, 60 }}, 1914 {{ 1294, 0, 552, 0, 1652, 0, 2686, 0, 3767, 0, 5885, 0, 6975, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 42, 50, 58, 72, 62, 102, 55, 67, 46, 80, 38, 80, 0, 0, 58, 60 }}, 1915 {{ 1300, 0, 575, 0, 1691, 0, 2720, 0, 3808, 0, 5900, 0, 7012, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 42, 50, 58, 74, 63, 103, 56, 71, 45, 80, 38, 80, 0, 0, 60, 60 }}, 1916 {{ 1306, 0, 595, 0, 1726, 0, 2750, 0, 3840, 0, 5907, 0, 7053, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 42, 50, 58, 76, 63, 105, 56, 75, 45, 80, 38, 80, 0, 0, 60, 60 }}, 1917 {{ 1312, 0, 612, 0, 1758, 0, 2777, 0, 3864, 0, 5910, 0, 7092, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 43, 50, 59, 78, 64, 108, 57, 79, 45, 80, 38, 80, 0, 0, 60, 60 }}, 1918 {{ 1318, 0, 627, 0, 1786, 0, 2800, 0, 3882, 0, 5910, 0, 7129, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 42, 50, 59, 79, 64, 110, 57, 83, 44, 80, 39, 80, 0, 0, 60, 60 }}, 1919 {{ 1324, 0, 640, 0, 1809, 0, 2819, 0, 3896, 0, 5908, 0, 7161, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 42, 50, 59, 81, 64, 112, 58, 87, 44, 80, 39, 80, 0, 0, 60, 60 }}, 1920 {{ 1330, 0, 649, 0, 1826, 0, 2833, 0, 3905, 0, 5905, 0, 7186, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 42, 50, 59, 82, 65, 113, 58, 90, 44, 80, 39, 80, 0, 0, 60, 60 }}, 1921 {{ 1336, 0, 655, 0, 1838, 0, 2843, 0, 3911, 0, 5903, 0, 7204, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 42, 50, 60, 83, 65, 115, 58, 91, 44, 80, 39, 80, 0, 0, 60, 60 }}, 1922 {{ 1342, 0, 658, 0, 1844, 0, 2848, 0, 3914, 0, 5901, 0, 7213, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 42, 50, 60, 83, 65, 115, 58, 92, 44, 80, 39, 80, 0, 0, 60, 60 }}, 1923 {{ 1348, 0, 658, 0, 1844, 0, 2848, 0, 3914, 0, 5901, 0, 7213, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 42, 50, 60, 83, 65, 115, 58, 92, 44, 80, 39, 80, 0, 0, 60, 60 }}, 1924 {{ 1354, 0, 658, 0, 1844, 0, 2848, 0, 3914, 0, 5899, 0, 7211, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 42, 50, 60, 83, 65, 115, 58, 92, 44, 80, 39, 80, 0, 0, 60, 60 }}, 1925 {{ 1360, 0, 655, 0, 1840, 0, 2845, 0, 3913, 0, 5895, 0, 7202, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 42, 50, 60, 83, 65, 114, 58, 92, 44, 80, 39, 80, 0, 0, 60, 60 }}, 1926 {{ 1366, 0, 651, 0, 1834, 0, 2841, 0, 3912, 0, 5890, 0, 7188, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 42, 50, 59, 83, 65, 114, 58, 91, 44, 80, 39, 80, 0, 0, 60, 60 }}, 1927 {{ 1372, 0, 646, 0, 1827, 0, 2836, 0, 3910, 0, 5883, 0, 7171, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 42, 51, 59, 82, 65, 112, 58, 91, 44, 80, 39, 80, 0, 0, 60, 60 }}, 1928 {{ 1378, 0, 639, 0, 1818, 0, 2829, 0, 3907, 0, 5874, 0, 7149, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 42, 51, 59, 81, 64, 111, 58, 90, 44, 80, 39, 80, 0, 0, 60, 60 }}, 1929 {{ 1384, 0, 631, 0, 1807, 0, 2819, 0, 3903, 0, 5864, 0, 7124, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 42, 52, 59, 80, 64, 109, 57, 88, 44, 80, 39, 80, 0, 0, 60, 60 }}, 1930 {{ 1390, 0, 622, 0, 1795, 0, 2807, 0, 3896, 0, 5853, 0, 7097, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 42, 52, 59, 79, 64, 107, 57, 87, 44, 80, 39, 80, 0, 0, 60, 60 }}, 1931 {{ 1396, 0, 612, 0, 1781, 0, 2791, 0, 3886, 0, 5841, 0, 7066, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 42, 53, 58, 78, 64, 105, 56, 86, 44, 80, 39, 80, 0, 0, 60, 60 }}, 1932 {{ 1402, 0, 602, 0, 1766, 0, 2772, 0, 3873, 0, 5829, 0, 7034, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 41, 53, 58, 76, 63, 102, 56, 84, 44, 80, 39, 80, 0, 0, 60, 60 }}, 1933 {{ 1408, 0, 590, 0, 1750, 0, 2748, 0, 3855, 0, 5816, 0, 7001, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 41, 54, 58, 75, 63, 100, 55, 82, 45, 80, 39, 80, 0, 0, 60, 60 }}, 1934 {{ 1414, 0, 578, 0, 1733, 0, 2719, 0, 3832, 0, 5804, 0, 6967, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 41, 55, 58, 73, 62, 97, 55, 80, 45, 80, 39, 80, 0, 0, 60, 60 }}, 1935 {{ 1420, 0, 565, 0, 1715, 0, 2684, 0, 3802, 0, 5792, 0, 6934, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 41, 55, 57, 71, 62, 93, 54, 77, 45, 80, 38, 80, 0, 0, 60, 60 }}, 1936 {{ 1426, 0, 551, 0, 1697, 0, 2642, 0, 3766, 0, 5782, 0, 6902, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 41, 55, 57, 70, 61, 89, 53, 75, 45, 80, 38, 80, 0, 0, 60, 60 }}, 1937 {{ 1432, 0, 538, 0, 1678, 0, 2592, 0, 3720, 0, 5773, 0, 6872, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 41, 56, 57, 68, 60, 86, 52, 72, 45, 80, 38, 80, 0, 0, 60, 60 }}, 1938 {{ 1438, 0, 524, 0, 1660, 0, 2533, 0, 3665, 0, 5766, 0, 6846, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 41, 56, 57, 66, 60, 81, 52, 69, 46, 80, 38, 80, 0, 0, 60, 60 }}, 1939 {{ 1444, 0, 512, 0, 1644, 0, 2473, 0, 3607, 0, 5762, 0, 6826, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 41, 56, 57, 64, 59, 77, 51, 67, 46, 80, 37, 80, 0, 0, 60, 60 }}, 1940 {{ 1450, 0, 501, 0, 1630, 0, 2413, 0, 3548, 0, 5760, 0, 6813, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 42, 55, 57, 62, 58, 74, 50, 64, 46, 80, 37, 80, 0, 0, 60, 60 }}, 1941 {{ 1456, 0, 492, 0, 1618, 0, 2354, 0, 3489, 0, 5761, 0, 6804, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 42, 55, 57, 60, 57, 70, 49, 62, 46, 80, 36, 80, 0, 0, 60, 60 }}, 1942 {{ 1462, 0, 484, 0, 1608, 0, 2297, 0, 3430, 0, 5763, 0, 6799, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 42, 54, 57, 59, 56, 67, 49, 60, 46, 80, 36, 80, 0, 0, 60, 60 }}, 1943 {{ 1468, 0, 477, 0, 1599, 0, 2242, 0, 3374, 0, 5766, 0, 6797, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 42, 54, 57, 58, 55, 65, 48, 58, 46, 80, 36, 80, 0, 0, 60, 60 }}, 1944 {{ 1474, 0, 471, 0, 1592, 0, 2191, 0, 3321, 0, 5770, 0, 6797, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 43, 53, 57, 57, 54, 62, 48, 57, 47, 80, 35, 80, 0, 0, 60, 60 }}, 1945 {{ 1480, 0, 467, 0, 1586, 0, 2144, 0, 3272, 0, 5774, 0, 6799, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 43, 53, 57, 56, 54, 60, 47, 55, 47, 80, 35, 80, 0, 0, 60, 60 }}, 1946 {{ 1486, 0, 463, 0, 1581, 0, 2101, 0, 3227, 0, 5779, 0, 6802, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 43, 52, 57, 55, 53, 58, 47, 54, 47, 80, 35, 80, 0, 0, 60, 60 }}, 1947 {{ 1492, 0, 459, 0, 1578, 0, 2063, 0, 3188, 0, 5783, 0, 6806, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 43, 52, 57, 54, 53, 56, 46, 53, 47, 80, 35, 80, 0, 0, 60, 60 }}, 1948 {{ 1498, 0, 457, 0, 1574, 0, 2031, 0, 3154, 0, 5787, 0, 6810, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 43, 51, 58, 54, 52, 55, 46, 52, 47, 80, 35, 80, 0, 0, 60, 60 }}, 1949 {{ 1504, 0, 455, 0, 1572, 0, 2005, 0, 3126, 0, 5790, 0, 6813, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 51, 58, 53, 52, 54, 46, 52, 47, 80, 34, 80, 0, 0, 60, 60 }}, 1950 {{ 1510, 0, 453, 0, 1570, 0, 1986, 0, 3105, 0, 5793, 0, 6816, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 51, 58, 53, 52, 53, 46, 51, 47, 80, 34, 80, 0, 0, 60, 60 }}, 1951 {{ 1516, 0, 452, 0, 1569, 0, 1972, 0, 3091, 0, 5795, 0, 6818, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 50, 58, 53, 51, 52, 46, 51, 47, 80, 34, 80, 0, 0, 60, 60 }}, 1952 {{ 1522, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 50, 58, 53, 51, 52, 45, 50, 47, 80, 34, 80, 0, 0, 60, 60 }}, 1953 {{ 1528, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 50, 58, 53, 51, 52, 45, 50, 47, 80, 34, 80, 0, 0, 60, 60 }}, 1954 {{ 1534, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 50, 58, 53, 51, 52, 45, 50, 47, 80, 34, 80, 0, 0, 60, 60 }}, 1955 {{ 1540, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 50, 58, 53, 51, 52, 45, 50, 47, 80, 34, 80, 0, 0, 60, 60 }}, 1956 {{ 1546, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 50, 58, 53, 51, 52, 45, 50, 47, 80, 34, 80, 0, 0, 60, 60 }}, 1957 {{ 1552, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 50, 58, 53, 51, 52, 45, 50, 47, 80, 34, 80, 0, 0, 60, 60 }}, 1958 {{ 1558, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 50, 58, 53, 51, 52, 45, 50, 47, 80, 34, 80, 0, 0, 60, 60 }}, 1959 {{ 1564, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 50, 58, 53, 51, 52, 45, 50, 47, 80, 34, 80, 0, 0, 60, 60 }}, 1960 {{ 1570, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 50, 58, 53, 51, 52, 45, 50, 47, 80, 34, 80, 0, 0, 60, 60 }}, 1961 {{ 1576, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 50, 58, 53, 51, 52, 45, 50, 47, 80, 34, 80, 0, 0, 53, 60 }}, 1962 {{ 1582, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 50, 58, 53, 51, 52, 45, 50, 47, 80, 34, 80, 0, 0, 47, 60 }}, 1963 {{ 1588, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 50, 58, 53, 51, 52, 45, 50, 47, 80, 34, 80, 0, 0, 40, 60 }}, 1964 {{ 1594, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 50, 58, 53, 51, 52, 45, 50, 47, 80, 34, 80, 0, 0, 33, 60 }}, 1965 {{ 1600, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 50, 58, 53, 51, 52, 45, 50, 47, 80, 34, 80, 0, 0, 27, 60 }}, 1966 {{ 1606, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 50, 58, 53, 51, 52, 45, 50, 47, 80, 34, 80, 0, 0, 20, 60 }}, 1967 {{ 1612, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 50, 58, 53, 51, 52, 45, 50, 47, 80, 34, 80, 0, 0, 14, 60 }}, 1968 {{ 1618, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 50, 58, 53, 51, 52, 45, 50, 47, 80, 34, 80, 0, 0, 7, 60 }}, 1969 {{ 1624, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1970 {{ 1630, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1971 {{ 1626, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1972 {{ 1622, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1973 {{ 1618, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1974 {{ 1613, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1975 {{ 1609, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1976 {{ 1605, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1977 {{ 1601, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1978 {{ 1597, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1979 {{ 1593, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1980 {{ 1589, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1981 {{ 1585, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1982 {{ 1580, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1983 {{ 1576, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1984 {{ 1572, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1985 {{ 1568, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1986 {{ 1564, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1987 {{ 1560, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1988 {{ 1556, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1989 {{ 1552, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1990 {{ 1547, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1991 {{ 1543, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1992 {{ 1539, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1993 {{ 1535, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1994 {{ 1531, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1995 {{ 1527, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1996 {{ 1523, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1997 {{ 1519, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1998 {{ 1514, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 1999 {{ 1510, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2000 {{ 1506, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2001 {{ 1502, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2002 {{ 1498, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2003 {{ 1494, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2004 {{ 1490, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2005 {{ 1486, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2006 {{ 1481, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2007 {{ 1477, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2008 {{ 1473, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2009 {{ 1469, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2010 {{ 1465, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2011 {{ 1461, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2012 {{ 1457, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2013 {{ 1453, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2014 {{ 1448, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2015 {{ 1444, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2016 {{ 1440, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2017 {{ 1436, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2018 {{ 1432, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2019 {{ 1428, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2020 {{ 1424, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2021 {{ 1420, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2022 {{ 1415, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2023 {{ 1411, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2024 {{ 1407, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2025 {{ 1403, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2026 {{ 1399, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2027 {{ 1395, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2028 {{ 1391, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2029 {{ 1387, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2030 {{ 1382, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2031 {{ 1378, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2032 {{ 1374, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2033 {{ 1370, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2034 {{ 1366, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2035 {{ 1362, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2036 {{ 1358, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2037 {{ 1354, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2038 {{ 1349, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2039 {{ 1345, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2040 {{ 1341, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2041 {{ 1337, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 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0, 0, 0, 44, 51, 58, 53, 52, 54, 46, 52, 47, 80, 34, 80, 0, 0, 60, 60 }}, 2498 {{ 830, 0, 453, 0, 1570, 0, 1986, 0, 3105, 0, 5793, 0, 6816, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 51, 58, 53, 52, 53, 46, 51, 47, 80, 34, 80, 0, 0, 60, 60 }}, 2499 {{ 830, 0, 452, 0, 1569, 0, 1972, 0, 3091, 0, 5795, 0, 6818, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 50, 58, 53, 51, 52, 46, 51, 47, 80, 34, 80, 0, 0, 60, 60 }}, 2500 {{ 830, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 50, 58, 53, 51, 52, 45, 50, 47, 80, 34, 80, 0, 0, 60, 60 }}, 2501 {{ 830, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 50, 58, 53, 51, 52, 45, 50, 47, 80, 34, 80, 0, 0, 60, 60 }}, 2502 {{ 830, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 50, 58, 53, 51, 52, 45, 50, 47, 80, 34, 80, 0, 0, 60, 60 }}, 2503 {{ 830, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 50, 58, 53, 51, 52, 45, 50, 47, 80, 34, 80, 0, 0, 60, 60 }}, 2504 {{ 830, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 50, 58, 53, 51, 52, 45, 50, 47, 80, 34, 80, 0, 0, 60, 60 }}, 2505 {{ 830, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 50, 58, 53, 51, 52, 45, 50, 47, 80, 34, 80, 0, 0, 60, 60 }}, 2506 {{ 830, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 50, 58, 53, 51, 52, 45, 50, 47, 80, 34, 80, 0, 0, 60, 60 }}, 2507 {{ 830, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 50, 58, 53, 51, 52, 45, 50, 47, 80, 34, 80, 0, 0, 60, 60 }}, 2508 {{ 830, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 50, 58, 53, 51, 52, 45, 50, 47, 80, 34, 80, 0, 0, 60, 60 }}, 2509 {{ 830, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 50, 58, 53, 51, 52, 45, 50, 47, 80, 34, 80, 0, 0, 53, 60 }}, 2510 {{ 830, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 50, 58, 53, 51, 52, 45, 50, 47, 80, 34, 80, 0, 0, 47, 60 }}, 2511 {{ 830, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 50, 58, 53, 51, 52, 45, 50, 47, 80, 34, 80, 0, 0, 40, 60 }}, 2512 {{ 830, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 50, 58, 53, 51, 52, 45, 50, 47, 80, 34, 80, 0, 0, 33, 60 }}, 2513 {{ 830, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 50, 58, 53, 51, 52, 45, 50, 47, 80, 34, 80, 0, 0, 27, 60 }}, 2514 {{ 830, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 50, 58, 53, 51, 52, 45, 50, 47, 80, 34, 80, 0, 0, 20, 60 }}, 2515 {{ 830, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 50, 58, 53, 51, 52, 45, 50, 47, 80, 34, 80, 0, 0, 14, 60 }}, 2516 {{ 830, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 44, 50, 58, 53, 51, 52, 45, 50, 47, 80, 34, 80, 0, 0, 7, 60 }}, 2517 {{ 830, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2518 {{ 830, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2519 {{ 830, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2520 {{ 830, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2521 {{ 830, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2522 {{ 830, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2523 {{ 830, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2524 {{ 830, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2525 {{ 830, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2526 {{ 830, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2527 {{ 830, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2528 {{ 830, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2529 {{ 830, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2530 {{ 830, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2531 {{ 830, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2532 {{ 830, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2533 {{ 830, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2534 {{ 830, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2535 {{ 830, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2536 {{ 830, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2537 {{ 830, 0, 452, 0, 1569, 0, 1966, 0, 3084, 0, 5796, 0, 6819, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 50, 0, 53, 0, 52, 0, 50, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2538 {{ 830, 0, 920, 0, 1445, 0, 2804, 0, 3915, 0, 5969, 0, 6256, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 87, 0, 62, 0, 103, 0, 105, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2539 {{ 830, 0, 920, 0, 1445, 0, 2804, 0, 3915, 0, 5969, 0, 6256, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 87, 0, 62, 0, 103, 0, 105, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2540 {{ 830, 0, 920, 0, 1445, 0, 2804, 0, 3915, 0, 5969, 0, 6256, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 87, 0, 62, 0, 103, 0, 105, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2541 {{ 830, 0, 920, 0, 1445, 0, 2804, 0, 3915, 0, 5969, 0, 6256, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 87, 0, 62, 0, 103, 0, 105, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2542 {{ 830, 0, 920, 0, 1445, 0, 2804, 0, 3915, 0, 5969, 0, 6256, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 87, 0, 62, 0, 103, 0, 105, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2543 {{ 830, 0, 920, 0, 1445, 0, 2804, 0, 3915, 0, 5969, 0, 6256, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 87, 0, 62, 0, 103, 0, 105, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2544 {{ 830, 0, 920, 0, 1445, 0, 2804, 0, 3915, 0, 5969, 0, 6256, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 87, 0, 62, 0, 103, 0, 105, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2545 {{ 830, 0, 920, 0, 1445, 0, 2804, 0, 3915, 0, 5969, 0, 6256, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 87, 0, 62, 0, 103, 0, 105, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2546 {{ 830, 0, 920, 0, 1445, 0, 2804, 0, 3915, 0, 5969, 0, 6256, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 87, 0, 62, 0, 103, 0, 105, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2547 {{ 830, 0, 920, 0, 1445, 0, 2804, 0, 3915, 0, 5969, 0, 6256, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 87, 0, 62, 0, 103, 0, 105, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2548 {{ 830, 0, 920, 0, 1445, 0, 2804, 0, 3915, 0, 5969, 0, 6256, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 87, 0, 62, 0, 103, 0, 105, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2549 {{ 830, 0, 920, 0, 1445, 0, 2804, 0, 3915, 0, 5969, 0, 6256, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 87, 0, 62, 0, 103, 0, 105, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2550 {{ 830, 0, 920, 0, 1445, 0, 2804, 0, 3915, 0, 5969, 0, 6256, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 87, 0, 62, 0, 103, 0, 105, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2551 {{ 830, 0, 920, 0, 1445, 0, 2804, 0, 3915, 0, 5969, 0, 6256, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 87, 0, 62, 0, 103, 0, 105, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2552 {{ 830, 0, 920, 0, 1445, 0, 2804, 0, 3915, 0, 5969, 0, 6256, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 87, 0, 62, 0, 103, 0, 105, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2553 {{ 830, 0, 920, 0, 1445, 0, 2804, 0, 3915, 0, 5969, 0, 6256, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 87, 0, 62, 0, 103, 0, 105, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2554 {{ 830, 0, 920, 0, 1445, 0, 2804, 0, 3915, 0, 5969, 0, 6256, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 87, 0, 62, 0, 103, 0, 105, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2555 {{ 830, 0, 920, 0, 1445, 0, 2804, 0, 3915, 0, 5969, 0, 6256, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 87, 0, 62, 0, 103, 0, 105, 0, 80, 0, 80, 0, 0, 0, 60 }}, 2556 {{ 830, 0, 920, 0, 1445, 0, 2804, 0, 3915, 0, 5969, 0, 6256, 0, 0, 0, 200, 30, 0, 60, 0, 0, 0, 0, 0, 87, 0, 62, 0, 103, 0, 105, 0, 80, 0, 80, 0, 0, 0, 60 }} 2557 }; 2558 try { 2559 autoKlattTable me = Thing_new (KlattTable); 2560 Table_initWithColumnNames (me.get(), nrows, theColumnNames.get()); 2561 Melder_assert (theColumnNames.size == KlattTable_NPAR); 2562 for (integer irow = 1; irow <= nrows; irow ++) { 2563 for (integer jcol = 1; jcol <= KlattTable_NPAR; jcol ++) { 2564 double val = klatt_data [irow - 1].p [jcol - 1]; 2565 if (jcol > 3 && jcol < 13 && (jcol % 2 == 0) && val <= 0) // bw == 0? 2566 val = klatt_data [irow - 1].p [jcol] / 10; 2567 Table_setNumericValue ( (Table) me.get(), irow, jcol, val); 2568 } 2569 } 2570 return me; 2571 } catch (MelderError) { 2572 Melder_throw (U" KlattTable example not created."); 2573 } 2574 } 2575 2576 autoKlattTable Table_to_KlattTable (Table me) { 2577 try { 2578 Melder_require (my numberOfColumns == KlattTable_NPAR, 2579 U"A KlattTable needs ", KlattTable_NPAR, U" columns."); 2580 2581 autoKlattTable thee = Thing_new (KlattTable); 2582 my structTable :: v_copy (thee.get()); 2583 return thee; 2584 } catch (MelderError) { 2585 Melder_throw (U"KlattTable not created from Table."); 2586 } 2587 } 2588 2589 autoTable KlattTable_to_Table (KlattTable me) { 2590 try { 2591 autoTable thee = Thing_new (Table); 2592 my structTable :: v_copy (thee.get()); 2593 return thee; 2594 } catch (MelderError) { 2595 Melder_throw (U"Table not created from KlattTable."); 2596 } 2597 } 2598 2599 /* End of file KlattTable.cpp */ 2600