Pd-cvs December 2006

pd-cvs@lists.iem.at

19 participants
825 discussions

autobuild: pd-main macosx104-powerpc 2006-12-30 03.15.04
by pd＠macosx104-powerpc.idmi.poly.edu 30 Dec '06

30 Dec '06

cc -g -O2 -DPD -Wall -W -Wstrict-prototypes -Wno-unused -Wno-parentheses -Wno-switch -DDL_OPEN -DMACOSX -DUNISTD -I/usr/X11R6/include -I../portaudio/pa_common -I../portaudio/pablio -I../portmidi/pm_common -I../portmidi/pm_mac -I../portmidi/porttime -DUSEAPI_PORTAUDIO -DPA19 -DPA_USE_COREAUDIO -isysroot /Developer/SDKs/MacOSX10.4u.sdk -arch i386 -arch ppc -Wno-error -O2 -DUSEAPI_JACK -DINSTALL_PREFIX=\"\" -c -o ../obj/m_sched.o m_sched.c cc -g -O2 -DPD -Wall -W -Wstrict-prototypes -Wno-unused -Wno-parentheses -Wno-switch -DDL_OPEN -DMACOSX -DUNISTD -I/usr/X11R6/include -I../portaudio/pa_common -I../portaudio/pablio -I../portmidi/pm_common -I../portmidi/pm_mac -I../portmidi/porttime -DUSEAPI_PORTAUDIO -DPA19 -DPA_USE_COREAUDIO -isysroot /Developer/SDKs/MacOSX10.4u.sdk -arch i386 -arch ppc -Wno-error -O2 -DUSEAPI_JACK -DINSTALL_PREFIX=\"\" -c -o ../obj/s_main.o s_main.c cc -g -O2 -DPD -Wall -W -Wstrict-prototypes -Wno-unused -Wno-parentheses -Wno-switch -DDL_OPEN -DMACOSX -DUNISTD -I/usr/X11R6/include -I../portaudio/pa_common -I../portaudio/pablio -I../portmidi/pm_common -I../portmidi/pm_mac -I../portmidi/porttime -DUSEAPI_PORTAUDIO -DPA19 -DPA_USE_COREAUDIO -isysroot /Developer/SDKs/MacOSX10.4u.sdk -arch i386 -arch ppc -Wno-error -O2 -DUSEAPI_JACK -DINSTALL_PREFIX=\"\" -c -o ../obj/s_inter.o s_inter.c cc -g -O2 -DPD -Wall -W -Wstrict-prototypes -Wno-unused -Wno-parentheses -Wno-switch -DDL_OPEN -DMACOSX -DUNISTD -I/usr/X11R6/include -I../portaudio/pa_common -I../portaudio/pablio -I../portmidi/pm_common -I../portmidi/pm_mac -I../portmidi/porttime -DUSEAPI_PORTAUDIO -DPA19 -DPA_USE_COREAUDIO -isysroot /Developer/SDKs/MacOSX10.4u.sdk -arch i386 -arch ppc -Wno-error -O2 -DUSEAPI_JACK -DINSTALL_PREFIX=\"\" -c -o ../obj/s_file.o s_file.c cc -g -O2 -DPD -Wall -W -Wstrict-prototypes -Wno-unused -Wno-parentheses -Wno-switch -DDL_OPEN -DMACOSX -DUNISTD -I/usr/X11R6/include -I../portaudio/pa_common -I../portaudio/pablio -I../portmidi/pm_common -I../portmidi/pm_mac -I../portmidi/porttime -DUSEAPI_PORTAUDIO -DPA19 -DPA_USE_COREAUDIO -isysroot /Developer/SDKs/MacOSX10.4u.sdk -arch i386 -arch ppc -Wno-error -O2 -DUSEAPI_JACK -DINSTALL_PREFIX=\"\" -c -o ../obj/s_print.o s_print.c cc -g -O2 -DPD -Wall -W -Wstrict-prototypes -Wno-unused -Wno-parentheses -Wno-switch -DDL_OPEN -DMACOSX -DUNISTD -I/usr/X11R6/include -I../portaudio/pa_common -I../portaudio/pablio -I../portmidi/pm_common -I../portmidi/pm_mac -I../portmidi/porttime -DUSEAPI_PORTAUDIO -DPA19 -DPA_USE_COREAUDIO -isysroot /Developer/SDKs/MacOSX10.4u.sdk -arch i386 -arch ppc -Wno-error -O2 -DUSEAPI_JACK -DINSTALL_PREFIX=\"\" -c -o ../obj/s_loader.o s_loader.c cc -g -O2 -DPD -Wall -W -Wstrict-prototypes -Wno-unused -Wno-parentheses -Wno-switch -DDL_OPEN -DMACOSX -DUNISTD -I/usr/X11R6/include -I../portaudio/pa_common -I../portaudio/pablio -I../portmidi/pm_common -I../portmidi/pm_mac -I../portmidi/porttime -DUSEAPI_PORTAUDIO -DPA19 -DPA_USE_COREAUDIO -isysroot /Developer/SDKs/MacOSX10.4u.sdk -arch i386 -arch ppc -Wno-error -O2 -DUSEAPI_JACK -DINSTALL_PREFIX=\"\" -c -o ../obj/s_path.o s_path.c cc -g -O2 -DPD -Wall -W -Wstrict-prototypes -Wno-unused -Wno-parentheses -Wno-switch -DDL_OPEN -DMACOSX -DUNISTD -I/usr/X11R6/include -I../portaudio/pa_common -I../portaudio/pablio -I../portmidi/pm_common -I../portmidi/pm_mac -I../portmidi/porttime -DUSEAPI_PORTAUDIO -DPA19 -DPA_USE_COREAUDIO -isysroot /Developer/SDKs/MacOSX10.4u.sdk -arch i386 -arch ppc -Wno-error -O2 -DUSEAPI_JACK -DINSTALL_PREFIX=\"\" -c -o ../obj/s_entry.o s_entry.c cc -g -O2 -DPD -Wall -W -Wstrict-prototypes -Wno-unused -Wno-parentheses -Wno-switch -DDL_OPEN -DMACOSX -DUNISTD -I/usr/X11R6/include -I../portaudio/pa_common -I../portaudio/pablio -I../portmidi/pm_common -I../portmidi/pm_mac -I../portmidi/porttime -DUSEAPI_PORTAUDIO -DPA19 -DPA_USE_COREAUDIO -isysroot /Developer/SDKs/MacOSX10.4u.sdk -arch i386 -arch ppc -Wno-error -O2 -DUSEAPI_JACK -DINSTALL_PREFIX=\"\" -c -o ../obj/s_audio.o s_audio.c cc -g -O2 -DPD -Wall -W -Wstrict-prototypes -Wno-unused -Wno-parentheses -Wno-switch -DDL_OPEN -DMACOSX -DUNISTD -I/usr/X11R6/include -I../portaudio/pa_common -I../portaudio/pablio -I../portmidi/pm_common -I../portmidi/pm_mac -I../portmidi/porttime -DUSEAPI_PORTAUDIO -DPA19 -DPA_USE_COREAUDIO -isysroot /Developer/SDKs/MacOSX10.4u.sdk -arch i386 -arch ppc -Wno-error -O2 -DUSEAPI_JACK -DINSTALL_PREFIX=\"\" -c -o ../obj/s_midi.o s_midi.c cc -g -O2 -DPD -Wall -W -Wstrict-prototypes -Wno-unused -Wno-parentheses -Wno-switch -DDL_OPEN -DMACOSX -DUNISTD -I/usr/X11R6/include -I../portaudio/pa_common -I../portaudio/pablio -I../portmidi/pm_common -I../portmidi/pm_mac -I../portmidi/porttime -DUSEAPI_PORTAUDIO -DPA19 -DPA_USE_COREAUDIO -isysroot /Developer/SDKs/MacOSX10.4u.sdk -arch i386 -arch ppc -Wno-error -O2 -DUSEAPI_JACK -DINSTALL_PREFIX=\"\" -c -o ../obj/d_ugen.o d_ugen.c cc -g -O2 -DPD -Wall -W -Wstrict-prototypes -Wno-unused -Wno-parentheses -Wno-switch -DDL_OPEN -DMACOSX -DUNISTD -I/usr/X11R6/include -I../portaudio/pa_common -I../portaudio/pablio -I../portmidi/pm_common -I../portmidi/pm_mac -I../portmidi/porttime -DUSEAPI_PORTAUDIO -DPA19 -DPA_USE_COREAUDIO -isysroot /Developer/SDKs/MacOSX10.4u.sdk -arch i386 -arch ppc -Wno-error -O2 -DUSEAPI_JACK -DINSTALL_PREFIX=\"\" -c -o ../obj/d_ctl.o d_ctl.c cc -g -O2 -DPD -Wall -W -Wstrict-prototypes -Wno-unused -Wno-parentheses -Wno-switch -DDL_OPEN -DMACOSX -DUNISTD -I/usr/X11R6/include -I../portaudio/pa_common -I../portaudio/pablio -I../portmidi/pm_common -I../portmidi/pm_mac -I../portmidi/porttime -DUSEAPI_PORTAUDIO -DPA19 -DPA_USE_COREAUDIO -isysroot /Developer/SDKs/MacOSX10.4u.sdk -arch i386 -arch ppc -Wno-error -O2 -DUSEAPI_JACK -DINSTALL_PREFIX=\"\" -c -o ../obj/d_arithmetic.o d_arithmetic.c cc -g -O2 -DPD -Wall -W -Wstrict-prototypes -Wno-unused -Wno-parentheses -Wno-switch -DDL_OPEN -DMACOSX -DUNISTD -I/usr/X11R6/include -I../portaudio/pa_common -I../portaudio/pablio -I../portmidi/pm_common -I../portmidi/pm_mac -I../portmidi/porttime -DUSEAPI_PORTAUDIO -DPA19 -DPA_USE_COREAUDIO -isysroot /Developer/SDKs/MacOSX10.4u.sdk -arch i386 -arch ppc -Wno-error -O2 -DUSEAPI_JACK -DINSTALL_PREFIX=\"\" -c -o ../obj/d_osc.o d_osc.c d_osc.c:39:2: error: #error No byte order defined d_osc.c:39:2: error: #error No byte order defined lipo: can't figure out the architecture type of: /var/tmp//ccUkiGgg.out make[2]: *** [d_osc.o] Error 1 make[1]: *** [pd_install] Error 2 make: *** [darwin_app_core] Error 2

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externals/io/hidio/test - New directory
by Hans-Christoph Steiner 29 Dec '06

29 Dec '06

Update of /cvsroot/pure-data/externals/io/hidio/test In directory sc8-pr-cvs1.sourceforge.net:/tmp/cvs-serv27569/test Log Message: Directory /cvsroot/pure-data/externals/io/hidio/test added to the repository

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externals/ann/src ann_mlp.c, 1.11, 1.12 ann_som.c, 1.6, 1.7 ann_td.c, 1.8, 1.9
by Hans-Christoph Steiner 29 Dec '06

29 Dec '06

Update of /cvsroot/pure-data/externals/ann/src In directory sc8-pr-cvs1.sourceforge.net:/tmp/cvs-serv22469/src Modified Files: ann_mlp.c ann_som.c ann_td.c Log Message: changed to follow help file standard Index: ann_mlp.c =================================================================== RCS file: /cvsroot/pure-data/externals/ann/src/ann_mlp.c,v retrieving revision 1.11 retrieving revision 1.12 diff -C2 -d -r1.11 -r1.12 *** ann_mlp.c 22 Oct 2005 11:29:35 -0000 1.11 --- ann_mlp.c 29 Dec 2006 17:39:56 -0000 1.12 *************** *** 748,754 **** class_addlist(ann_mlp_class, (t_method)ann_mlp_manage_list); - // help patch - class_sethelpsymbol(ann_mlp_class, gensym("help-ann_mlp")); - } --- 748,751 ---- Index: ann_td.c =================================================================== RCS file: /cvsroot/pure-data/externals/ann/src/ann_td.c,v retrieving revision 1.8 retrieving revision 1.9 diff -C2 -d -r1.8 -r1.9 *** ann_td.c 29 Jun 2005 22:17:37 -0000 1.8 --- ann_td.c 29 Dec 2006 17:39:56 -0000 1.9 *************** *** 659,665 **** class_addlist(ann_td_class, (t_method)ann_td_manage_list); - // help patch - class_sethelpsymbol(ann_td_class, gensym("help-ann_td")); - } --- 659,662 ---- Index: ann_som.c =================================================================== RCS file: /cvsroot/pure-data/externals/ann/src/ann_som.c,v retrieving revision 1.6 retrieving revision 1.7 diff -C2 -d -r1.6 -r1.7 *** ann_som.c 19 May 2005 14:07:23 -0000 1.6 --- ann_som.c 29 Dec 2006 17:39:56 -0000 1.7 *************** *** 759,763 **** class_addmethod(som_class, (t_method)som_print, gensym("print"), 0); class_addmethod(som_class, (t_method)som_help, gensym("help"), 0); - class_sethelpsymbol(som_class, gensym("som")); } --- 759,762 ----

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externals/ann/helps ann_mlp-help.pd, NONE, 1.1 ann_td-help.pd, NONE, 1.1 help-ann_mlp.pd, 1.2, NONE help-ann_td.pd, 1.1, NONE
by Hans-Christoph Steiner 29 Dec '06

29 Dec '06

Update of /cvsroot/pure-data/externals/ann/helps In directory sc8-pr-cvs1.sourceforge.net:/tmp/cvs-serv22469/helps Added Files: ann_mlp-help.pd ann_td-help.pd Removed Files: help-ann_mlp.pd help-ann_td.pd Log Message: changed to follow help file standard --- NEW FILE: ann_mlp-help.pd --- #N canvas 99 68 846 456 12; #N canvas 181 295 627 328 creation 0; #X obj 52 235 outlet; #X msg 49 10 create; #X msg 72 68 create 2 1; #X msg 81 97 create 3 1; #X msg 93 128 create 3 2; #X msg 59 38 create 3 2 3 3 1 0.7; #X text 121 7 create with default values; #X text 236 38 specifying all; #X text 166 68 2 inputs 1 output; #X text 176 99 3 inputs 1 output; #X text 189 128 3 inputs 2 output; #X text 159 222 TIP:don't set the layers param too high; #X text 158 179 params: num_input \, num_output \, num_layers \, num_neurons_hidden \, connection_rate \, learning_rate; #X connect 1 0 0 0; #X connect 2 0 0 0; #X connect 3 0 0 0; #X connect 4 0 0 0; #X connect 5 0 0 0; #X restore 93 68 pd creation examples; #N canvas 136 60 728 356 run 0; #X obj 90 219 outlet; #X msg 123 69 0 1; #X msg 124 92 1 0; #X msg 125 115 1 1; #X msg 126 140 0 0; #X text 40 17 now you can run your nn passing it a list with inputs ; #X text 169 70 send a list of data and watch the console for output ; #X text 39 35 the output is sent as a list of float; #X text 184 134 these inputs are good for a nn like the one in example1 directory; #X connect 1 0 0 0; #X connect 2 0 0 0; #X connect 3 0 0 0; #X connect 4 0 0 0; #X restore 107 180 pd run the net; #N canvas 0 0 619 610 other 0; #X obj 43 401 outlet; #X msg 102 37 train; #X msg 103 63 run; #X msg 152 37 setmode 0; #X msg 153 63 setmode 1; #X text 249 40 set training/running mode; #X text 247 63 training mode currently not implemented; #N canvas 265 255 690 335 training 0; #X obj 71 288 outlet; #X msg 82 195 FANN_TRAIN_INCREMENTAL; #X msg 82 216 FANN_TRAIN_BATCH; #X msg 81 238 FANN_TRAIN_RPROP; #X msg 81 258 FANN_TRAIN_QUICKPROP; #X text 40 28 you can set the training algorithm simply sending a message with the name of the algorithm chosen. possible values are: FANN_TRAIN_INCREMENTAL FANN_TRAIN_BATCH FANN_TRAIN_RPROP FANN_TRAIN_QUICKPROP the default is: FANN_TRAIN_RPROP see the FANN manual for details on each algorithm: http://fann.sourceforge.net/html/r1996.html; #X connect 1 0 0 0; #X connect 2 0 0 0; #X connect 3 0 0 0; #X connect 4 0 0 0; #X restore 150 153 pd training algorithm; #X text 360 175 some advanced param; #N canvas 371 92 698 395 training 0; #X obj 52 230 outlet; #X msg 69 118 desired_error 0.01; #X msg 79 146 max_iterations 500000; #X msg 90 178 iterations_between_reports 1000; #X text 58 28 you can change training parameters. see FANN manual for details (http://fann.sourceforge.net); #X connect 1 0 0 0; #X connect 2 0 0 0; #X connect 3 0 0 0; #X restore 151 179 pd training params; #N canvas 371 92 694 391 activation 0; #X obj 49 335 outlet; #X text 40 28 you can set ti output activation algorithm passing a message to nn. see the FANN manual for description of the algorithms ; #X msg 69 118 set_activation_function_output FANN_THRESHOLD; #X msg 83 139 set_activation_function_output FANN_THRESHOLD_SYMMETRIC ; #X msg 95 163 set_activation_function_output FANN_LINEAR; #X msg 98 184 set_activation_function_output FANN_SIGMOID; #X msg 106 206 set_activation_function_output FANN_SIGMOID_STEPWISE ; #X msg 108 233 set_activation_function_output FANN_SIGMOID_SYMMETRIC ; #X msg 115 256 set_activation_function_output FANN_SIGMOID_SYMMETRIC_STEPWISE ; #X connect 2 0 0 0; #X connect 3 0 0 0; #X connect 4 0 0 0; #X connect 5 0 0 0; #X connect 6 0 0 0; #X connect 7 0 0 0; #X connect 8 0 0 0; #X restore 150 203 pd activation algorithm; #X msg 151 287 details; #X text 229 285 details on the current nn; #X msg 145 333 help; #X connect 1 0 0 0; #X connect 2 0 0 0; #X connect 3 0 0 0; #X connect 4 0 0 0; #X connect 7 0 0 0; #X connect 9 0 0 0; #X connect 10 0 0 0; #X connect 11 0 0 0; #X connect 13 0 0 0; #X restore 128 258 pd other commands; #N canvas 0 0 653 513 save 0; #X obj 39 264 outlet; #X msg 64 20 filename test.net; #X msg 66 46 save; #X msg 82 103 load; #X text 221 19 set the filename; #X text 214 42 save the net to the file; #X text 138 104 you can reload it too; #X text 144 182 nn can be loaded from a file at creation time simply passing the filename as argument; #X msg 68 71 save test.net; #X msg 93 130 load test.net; #X text 144 217 like [ann_mlp test.net]; #X connect 1 0 0 0; #X connect 2 0 0 0; #X connect 3 0 0 0; #X connect 8 0 0 0; #X connect 9 0 0 0; #X restore 118 218 pd save the net; #X text 270 66 create a nn; #X text 244 179 run your net; #X text 258 215 save your net; #N canvas 0 0 712 542 tips 0; #X text 51 84 for better performances inputs value should be normalized \, all input should have the same range (if one input has a larger range it will be more "important"). the range of each input should be 0 centered. so [-1 \, 1] is good [-2 \, 2] is good \, [0 \, 1] not so good [1 \, 2] is bad. the range sould not be too small ([-0.1 \, 0.1] is bad).; #X text 41 19 TIPS; #X text 41 56 inputs; #X text 39 211 outputs; #X text 50 235 each class of outputs should have its own output value: don't use the same output for 2 meanings \, use 2 outputs intead \, 1 for each.; #X restore 156 303 pd tips; #X text 270 353 an interface to fann classes (http://fann.sourceforge.net) ; #X text 272 371 by Davide Morelli - info(a)davidemorelli.it; #N canvas 468 204 580 411 train 0; #X obj 32 241 outlet; #N canvas 0 0 458 308 train 0; #N canvas 8 48 990 509 build 0; #X obj 65 417 textfile; #X msg 190 337 clear; #N canvas 0 0 462 312 alternate 0; #X obj 103 117 + 1; #X obj 70 119 f 0; #X obj 70 171 sel 0 1; #X obj 70 146 mod 2; #X msg 95 90 0; #X obj 68 31 inlet; #X obj 140 40 inlet; #X obj 140 63 bang; #X obj 68 55 bang; #X obj 65 205 outlet; #X obj 125 206 outlet; #X text 59 6 bang; #X text 139 18 reset to 0 without bang; #X connect 0 0 1 1; #X connect 1 0 0 0; #X connect 1 0 3 0; #X connect 2 0 9 0; #X connect 2 1 10 0; #X connect 3 0 2 0; #X connect 4 0 1 1; #X connect 5 0 8 0; #X connect 6 0 7 0; #X connect 7 0 4 0; #X connect 8 0 1 0; #X restore 58 227 pd alternate; #X obj 24 81 bng 15 250 50 0 empty empty write-once 0 -6 0 8 -262144 -1 -1; #X obj 341 183 bng 15 250 50 0 empty empty reset 0 -6 0 8 -262144 -1 -1; #N canvas 0 0 466 316 inputs 0; #X obj 61 153 pack s f f; #X obj 63 200 pack f f; #X obj 61 176 unpack s f f; #X msg 66 223 add \$1 \$2; #X obj 66 257 outlet; #X text 120 258 to textfile; #X obj 24 42 inlet; #X text 23 22 bang; #X text 66 77 here go the inputs; #X obj 94 52 r input1; #X obj 163 52 r input2; #X connect 0 0 2 0; #X connect 1 0 3 0; #X connect 2 1 1 0; #X connect 2 2 1 1; #X connect 3 0 4 0; #X connect 6 0 0 0; #X connect 9 0 0 1; #X connect 10 0 0 2; #X restore 58 306 pd inputs; #N canvas 0 0 466 316 outputs 0; #X obj 61 153 pack s f f; #X obj 63 200 pack f f; #X obj 61 176 unpack s f f; #X msg 66 223 add \$1 \$2; #X obj 66 257 outlet; #X text 120 258 to textfile; #X obj 24 42 inlet; #X text 23 22 bang; #X text 66 77 here go the outputs; #X obj 91 51 r output1; #X obj 166 51 r output2; #X connect 0 0 2 0; #X connect 1 0 3 0; #X connect 2 1 1 0; #X connect 2 2 1 1; #X connect 3 0 4 0; #X connect 6 0 0 0; #X connect 9 0 0 1; #X connect 10 0 0 2; #X restore 149 284 pd outputs; #X obj 230 223 f 0; #X obj 260 223 + 1; #X obj 239 257 nbx 5 14 -1e+037 1e+037 0 0 empty empty how_many_patterns 0 -6 0 10 -262144 -1 -1 0 256; #X text 156 406 todo: write header (a line at the beginning of file with 3 int: how many tests \, num_input \, num_output); #X obj 122 190 delay 50; #X obj 115 159 metro 100; #X floatatom 259 72 5 100 5000 2 msec_between_snapshots - -; #X obj 127 80 tgl 15 0 empty empty toggle_on-off 0 -6 0 8 -262144 -1 -1 0 1; #X obj 219 189 / 2; #X obj 260 16 loadbang; #X msg 260 36 100; #X msg 326 342 write test.txt cr; #X text 293 224 comment; #N canvas 262 68 647 603 README 0; #X text 67 432 please help me getting this patch more usable: - how to add a line at the very beginning of a text file after i have filled it? - how to manage inputs and outputs of different sized without forcing the user to edit the patch?; #X text 9 63 how to use: 1) modify [pd inputs] and [ps outputs] inserting [r] objects to receive input data \, and modify [pack]s to handle the right number of inputs 2) do the same with [pd outputs] 3) click on reset 4) toggle ON and start collecting data 5) when you are ready toggle OFF 6) edit [write filename cr( with the actual filename you want for your training data (always keep the cr after the filename) 7) open the file with training data 8) add a line at the beginning and write 3 integers: the 1st is the number of training patterns written (see "how many patterns" number box) \, the 2nd is how many inputs your ann has \, the 3th is how many outputs e.g. i collected 100 training snapshots \, for a ann with 10 ins and 2 outs I write: 100 10 2 at the very beginning of the file now the training file is ready and can be read from nn via train-on-file command; #X text 9 7 this tricky sub-patch is usefull to write a file to train ann and is intended to be used with the nn external; #X restore 25 16 pd README; #X text 479 210 by davide morelli info(a)davidemorelli.it; #X text 106 14 <--readme!; #X text 242 283 <--edit here!; #X text 142 308 <--edit here!; #X text 429 86 usage: read [pd README] \, edit [pd inputs] and [pd outputs] \, toggle on and record inputs and outputs \, toggle off when ready \, write to a file \, edit the file adding a line at the beginning (see REAMDE); #X connect 1 0 0 0; #X connect 2 0 5 0; #X connect 2 1 6 0; #X connect 2 1 7 0; #X connect 3 0 11 0; #X connect 3 0 2 0; #X connect 4 0 2 1; #X connect 4 0 1 0; #X connect 5 0 0 0; #X connect 6 0 0 0; #X connect 7 0 8 0; #X connect 7 0 9 0; #X connect 8 0 7 1; #X connect 11 0 2 0; #X connect 12 0 11 0; #X connect 12 0 2 0; #X connect 13 0 12 1; #X connect 13 0 15 0; #X connect 14 0 12 0; #X connect 15 0 11 1; #X connect 16 0 17 0; #X connect 17 0 13 0; #X connect 18 0 0 0; #X restore 86 42 pd build training file; #X msg 88 74 train-on-file test.txt; #X text 285 45 build a training file; #X text 287 74 train the nn with the training file; #X obj 56 139 outlet; #X connect 1 0 4 0; #X restore 79 103 pd train you net using a train file; #N canvas 120 72 892 558 train 0; #X obj 55 487 outlet; #X msg 60 31 train; #X text 126 33 1- set the train mode; #X text 192 120 be shure you provide the correct numbers of inputs and outputs; #X obj 168 202 pack s f f f; #X obj 197 248 pack f f f; #X obj 168 225 unpack s f f f; #X msg 190 464 run; #X obj 198 170 tgl 15 0 empty empty in1 0 -6 0 8 -262144 -1 -1 0 1 ; #X obj 228 170 tgl 15 0 empty empty in2 0 -6 0 8 -262144 -1 -1 0 1 ; #X obj 259 170 tgl 15 0 empty empty output 0 -6 0 8 -262144 -1 -1 0 1; #X obj 148 169 bng 15 250 50 0 empty empty train! 0 -6 0 8 -262144 -1 -1; #X text 312 160 set inputs and output value \, then send the list clicking on the "train!" bang; #X msg 316 261 create 2 1; #X text 227 464 3- when you are ready switch again to run mode before exiting; #X text 315 226 NOTE1: before training with this example you should have created a nn with 2 ins and 1 out with a command like:; #N canvas 255 158 517 436 autotrain 0; #X obj 89 286 outlet; #X obj 85 87 metro 10; #X obj 85 38 tgl 15 0 empty empty toggle_training 0 -6 0 8 -262144 -1 -1 0 1; #X msg 101 192 0 0 0; #X msg 126 215 0 1 1; #X msg 82 168 1 0 1; #X msg 150 244 1 1 1; #X obj 82 112 random 4; #X obj 83 138 sel 0 1 2 3; #X obj 226 125 f 0; #X obj 256 124 + 1; #X floatatom 226 149 8 0 0 0 - - -; #X text 113 36 <--train OR untile mse is low enough; #X text 143 51 (you must be in train mode); #X connect 1 0 7 0; #X connect 1 0 9 0; #X connect 2 0 1 0; #X connect 3 0 0 0; #X connect 4 0 0 0; #X connect 5 0 0 0; #X connect 6 0 0 0; #X connect 7 0 8 0; #X connect 8 0 5 0; #X connect 8 1 3 0; #X connect 8 2 4 0; #X connect 8 3 6 0; #X connect 9 0 10 0; #X connect 9 0 11 0; #X connect 10 0 9 1; #X restore 224 363 pd autotrain OR; #X text 172 101 2a)- build a list with inputs and desired output; #X text 336 291 NOTE2: while training the right outlet gives you the mean square error after each training pattern. continue training until mse is low enough.; #X text 221 383 2b) use autotrain for the OR function; #X connect 1 0 0 0; #X connect 4 0 6 0; #X connect 5 0 0 0; #X connect 6 1 5 0; #X connect 6 2 5 1; #X connect 6 3 5 2; #X connect 7 0 0 0; #X connect 8 0 4 1; #X connect 9 0 4 2; #X connect 10 0 4 3; #X connect 11 0 4 0; #X connect 13 0 0 0; #X connect 16 0 0 0; #X restore 68 50 pd train it on the fly; #X text 62 5 there are 2 ways to train your net; #X text 253 47 on the fly is simpler; #X text 88 128 with a trainfile the net could be more accurate; #X connect 1 0 0 0; #X connect 2 0 0 0; #X restore 115 119 pd train; #X text 190 118 train a nn; #X obj 103 345 print mse; #X obj 52 373 print out; #X obj 52 313 ann_mlp; #X text 9 2 ann_mlp: multi layer perceptrons neural networks in PD ; #X connect 0 0 14 0; #X connect 1 0 14 0; #X connect 2 0 14 0; #X connect 3 0 14 0; #X connect 10 0 14 0; #X connect 14 0 13 0; #X connect 14 1 12 0; --- NEW FILE: ann_td-help.pd --- #N canvas 117 9 858 468 12; #N canvas 445 134 647 348 creation 0; #X obj 52 235 outlet; #X text 246 38 specifying all; #X text 159 216 TIP:don't set the layers param too high; #X msg 49 10 create 2 1 5; #X text 175 6 create with 2 inputs \, 1 output and 5 frames; #X msg 59 38 create 2 1 5 3 3 1 0.7; #X text 159 179 params: num_input \, num_output \, frames \, num_layers \, num_neurons_hidden \, connection_rate \, learning_rate; #N canvas 218 152 650 413 what 0; #X text 37 134 you pass [0 0.1] to ann_tdnn; #X text 34 152 internally now there is this array: [0 0.1 0 0 0 0] ; #X text 38 196 next input is [0.2 1]; #X text 36 211 internally now there is this array: [0.2 1 0 0.1 0 0] ; #X text 37 255 next input is [0.3 0.4]; #X text 35 270 internally now there is this array: [0.3 0.4 0.2 1 0 0.1]; #X text 36 317 next input is [0.7 0]; #X text 34 332 internally now there is this array: [0.7 0 0.3 0.4 0.2 1]; #X text 35 168 a normal ann_mlp is run with this inputs; #X text 38 225 a normal ann_mlp is run with this inputs; #X text 33 284 a normal ann_mlp is run with this inputs; #X text 33 347 a normal ann_mlp is run with this inputs; #X text 12 139 1); #X text 14 197 2); #X text 15 258 3); #X text 13 319 4); #X text 33 4 this implementation od tdnn is simply a normal ann_mlp with num_input*frame inputs and num_output outputs. ann_tdnn simply helps managing the delay \, frames and buffers.; #X text 65 385 ...and so on...; #X text 34 64 frames can be seen as the delay feedback: how many times an input is internally held in the input array; #X text 35 104 eg: 2 inputs 3 frames = internally 6 inputs; #X restore 155 109 pd what frames are?; #X connect 3 0 0 0; #X connect 5 0 0 0; #X restore 93 68 pd creation examples; #N canvas 136 60 728 356 run 0; #X obj 90 219 outlet; #X msg 123 69 0 1; #X msg 124 92 1 0; #X msg 125 115 1 1; #X msg 126 140 0 0; #X text 40 17 now you can run your nn passing it a list with inputs ; #X text 169 70 send a list of data and watch the console for output ; #X text 39 35 the output is sent as a list of float; #X text 184 134 these inputs are good for a nn like the one in example1 directory; #X connect 1 0 0 0; #X connect 2 0 0 0; #X connect 3 0 0 0; #X connect 4 0 0 0; #X restore 107 180 pd run the net; #N canvas 0 0 619 610 other 0; #X obj 43 401 outlet; #X msg 102 37 train; #X msg 103 63 run; #X msg 152 37 setmode 0; #X msg 153 63 setmode 1; #X text 249 40 set training/running mode; #X text 247 63 training mode currently not implemented; #N canvas 265 255 690 335 training 0; #X obj 71 288 outlet; #X msg 82 195 FANN_TRAIN_INCREMENTAL; #X msg 82 216 FANN_TRAIN_BATCH; #X msg 81 238 FANN_TRAIN_RPROP; #X msg 81 258 FANN_TRAIN_QUICKPROP; #X text 40 28 you can set the training algorithm simply sending a message with the name of the algorithm chosen. possible values are: FANN_TRAIN_INCREMENTAL FANN_TRAIN_BATCH FANN_TRAIN_RPROP FANN_TRAIN_QUICKPROP the default is: FANN_TRAIN_RPROP see the FANN manual for details on each algorithm: http://fann.sourceforge.net/html/r1996.html; #X connect 1 0 0 0; #X connect 2 0 0 0; #X connect 3 0 0 0; #X connect 4 0 0 0; #X restore 150 153 pd training algorithm; #X text 360 175 some advanced param; #N canvas 371 92 698 395 training 0; #X obj 52 230 outlet; #X msg 69 118 desired_error 0.01; #X msg 79 146 max_iterations 500000; #X msg 90 178 iterations_between_reports 1000; #X text 58 28 you can change training parameters. see FANN manual for details (http://fann.sourceforge.net); #X connect 1 0 0 0; #X connect 2 0 0 0; #X connect 3 0 0 0; #X restore 151 179 pd training params; #N canvas 371 92 694 391 activation 0; #X obj 49 335 outlet; #X text 40 28 you can set ti output activation algorithm passing a message to nn. see the FANN manual for description of the algorithms ; #X msg 69 118 set_activation_function_output FANN_THRESHOLD; #X msg 83 139 set_activation_function_output FANN_THRESHOLD_SYMMETRIC ; #X msg 95 163 set_activation_function_output FANN_LINEAR; #X msg 98 184 set_activation_function_output FANN_SIGMOID; #X msg 106 206 set_activation_function_output FANN_SIGMOID_STEPWISE ; #X msg 108 233 set_activation_function_output FANN_SIGMOID_SYMMETRIC ; #X msg 115 256 set_activation_function_output FANN_SIGMOID_SYMMETRIC_STEPWISE ; #X connect 2 0 0 0; #X connect 3 0 0 0; #X connect 4 0 0 0; #X connect 5 0 0 0; #X connect 6 0 0 0; #X connect 7 0 0 0; #X connect 8 0 0 0; #X restore 150 203 pd activation algorithm; #X msg 151 287 details; #X text 229 285 details on the current nn; #X msg 145 333 help; #X connect 1 0 0 0; #X connect 2 0 0 0; #X connect 3 0 0 0; #X connect 4 0 0 0; #X connect 7 0 0 0; #X connect 9 0 0 0; #X connect 10 0 0 0; #X connect 11 0 0 0; #X connect 13 0 0 0; #X restore 128 258 pd other commands; #N canvas 0 0 665 525 save 0; #X obj 39 264 outlet; #X msg 64 20 filename test.net; #X msg 66 46 save; #X msg 82 103 load; #X text 221 19 set the filename; #X text 214 42 save the net to the file; #X text 138 104 you can reload it too; #X text 144 182 nn can be loaded from a file at creation time simply passing the filename as argument; #X msg 68 71 save test.net; #X msg 93 130 load test.net; #X text 144 217 like [ann_td num_inputs frames filename]; #X connect 1 0 0 0; #X connect 2 0 0 0; #X connect 3 0 0 0; #X connect 8 0 0 0; #X connect 9 0 0 0; #X restore 118 218 pd save the net; #X text 270 66 create a nn; #X text 244 179 run your net; #X text 258 215 save your net; #N canvas 0 0 712 542 tips 0; #X text 51 84 for better performances inputs value should be normalized \, all input should have the same range (if one input has a larger range it will be more "important"). the range of each input should be 0 centered. so [-1 \, 1] is good [-2 \, 2] is good \, [0 \, 1] not so good [1 \, 2] is bad. the range sould not be too small ([-0.1 \, 0.1] is bad).; #X text 41 19 TIPS; #X text 41 56 inputs; #X text 39 211 outputs; #X text 50 235 each class of outputs should have its own output value: don't use the same output for 2 meanings \, use 2 outputs intead \, 1 for each.; #X restore 167 285 pd tips; #X text 272 371 an interface to fann classes (http://fann.sourceforge.net) ; #X text 274 389 by Davide Morelli - info(a)davidemorelli.it; #N canvas 227 183 580 411 train 0; #X obj 32 241 outlet; #N canvas 100 44 892 558 train 0; #X obj 57 397 outlet; #X msg 60 31 train; #X text 126 33 1- set the train mode; #X text 116 81 2- build a list with inputs and desired output; #X text 139 101 be shure you provide the correct numbers of inputs and outputs; #X obj 168 202 pack s f f f; #X obj 197 248 pack f f f; #X obj 168 225 unpack s f f f; #X msg 192 374 run; #X obj 198 170 tgl 15 0 empty empty in1 0 -6 0 8 -262144 -1 -1 0 1 ; #X obj 228 170 tgl 15 0 empty empty in2 0 -6 0 8 -262144 -1 -1 0 1 ; #X obj 259 170 tgl 15 0 empty empty output 0 -6 0 8 -262144 -1 -1 0 1; #X obj 148 169 bng 15 250 50 0 empty empty train! 0 -6 0 8 -262144 -1 -1; #X text 299 183 set inputs and output value \, then send the list clicking on the "train!" bang; #X text 229 374 3- when you are ready switch again to run mode before exiting; #X text 311 308 NOTE2: while training the right outlet gives you the mean square error after each training pattern.; #X msg 316 278 create 2 1 5; #X text 315 226 NOTE1: before training with this example you should have created a nn with 2 ins and 1 out and 5 frames with a command like:; #X connect 1 0 0 0; #X connect 5 0 7 0; #X connect 6 0 0 0; #X connect 7 1 6 0; #X connect 7 2 6 1; #X connect 7 3 6 2; #X connect 8 0 0 0; #X connect 9 0 5 1; #X connect 10 0 5 2; #X connect 11 0 5 3; #X connect 12 0 5 0; #X connect 16 0 0 0; #X restore 68 50 pd train it on the fly; #X text 62 5 there are 2 ways to train your net; #X text 253 47 on the fly is simpler; #X text 86 128 with a trainfile the net could be more accurate; #X msg 89 149 train-on-file test.txt; #X connect 1 0 0 0; #X connect 5 0 0 0; #X restore 115 119 pd train; #X text 190 118 train a nn; #X obj 113 360 print mse; #X obj 54 391 print out; #X text 150 315 2 args needed: num_inputs and frames; #X text 148 331 see [pd creation examples] for details; #X obj 33 319 ann_td 2 5; #X text 9 2 ann_td: time delay neural networks in pd; #X connect 0 0 16 0; #X connect 1 0 16 0; #X connect 2 0 16 0; #X connect 3 0 16 0; #X connect 10 0 16 0; #X connect 16 0 13 0; #X connect 16 1 12 0; --- help-ann_mlp.pd DELETED --- --- help-ann_td.pd DELETED ---

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externals/build/src bfft~.c, 1.6, 1.7 ibfft~.c, 1.6, 1.7 junction~.c, 1.6, 1.7 mtx_rowrfft.c, 1.2, 1.3 mtx_rowrifft.c, 1.2, 1.3
by Hans-Christoph Steiner 29 Dec '06

29 Dec '06

Update of /cvsroot/pure-data/externals/build/src In directory sc8-pr-cvs1.sourceforge.net:/tmp/cvs-serv22787 Modified Files: bfft~.c ibfft~.c junction~.c mtx_rowrfft.c mtx_rowrifft.c Log Message: fixed windows kludge that pointed to file that got renamed Index: junction~.c =================================================================== RCS file: /cvsroot/pure-data/externals/build/src/junction~.c,v retrieving revision 1.6 retrieving revision 1.7 diff -C2 -d -r1.6 -r1.7 *** junction~.c 25 May 2006 18:52:17 -0000 1.6 --- junction~.c 29 Dec 2006 16:11:51 -0000 1.7 *************** *** 4,8 **** */ #ifdef WIN32 ! #include "../../../pd/src/d_mayer_fft.c" #endif --- 4,8 ---- */ #ifdef WIN32 ! #include "../../../pd/src/d_fft_mayer.c" #endif Index: mtx_rowrifft.c =================================================================== RCS file: /cvsroot/pure-data/externals/build/src/mtx_rowrifft.c,v retrieving revision 1.2 retrieving revision 1.3 diff -C2 -d -r1.2 -r1.3 *** mtx_rowrifft.c 16 Nov 2005 22:48:22 -0000 1.2 --- mtx_rowrifft.c 29 Dec 2006 16:11:51 -0000 1.3 *************** *** 4,8 **** */ #ifdef WIN32 ! #include "../../../pd/src/d_mayer_fft.c" #endif --- 4,8 ---- */ #ifdef WIN32 ! #include "../../../pd/src/d_fft_mayer.c" #endif Index: bfft~.c =================================================================== RCS file: /cvsroot/pure-data/externals/build/src/bfft~.c,v retrieving revision 1.6 retrieving revision 1.7 diff -C2 -d -r1.6 -r1.7 *** bfft~.c 25 May 2006 18:52:17 -0000 1.6 --- bfft~.c 29 Dec 2006 16:11:51 -0000 1.7 *************** *** 4,8 **** */ #ifdef WIN32 ! #include "../../../pd/src/d_mayer_fft.c" #endif --- 4,8 ---- */ #ifdef WIN32 ! #include "../../../pd/src/d_fft_mayer.c" #endif Index: mtx_rowrfft.c =================================================================== RCS file: /cvsroot/pure-data/externals/build/src/mtx_rowrfft.c,v retrieving revision 1.2 retrieving revision 1.3 diff -C2 -d -r1.2 -r1.3 *** mtx_rowrfft.c 16 Nov 2005 22:48:22 -0000 1.2 --- mtx_rowrfft.c 29 Dec 2006 16:11:51 -0000 1.3 *************** *** 4,8 **** */ #ifdef WIN32 ! #include "../../../pd/src/d_mayer_fft.c" #endif --- 4,8 ---- */ #ifdef WIN32 ! #include "../../../pd/src/d_fft_mayer.c" #endif Index: ibfft~.c =================================================================== RCS file: /cvsroot/pure-data/externals/build/src/ibfft~.c,v retrieving revision 1.6 retrieving revision 1.7 diff -C2 -d -r1.6 -r1.7 *** ibfft~.c 25 May 2006 18:52:17 -0000 1.6 --- ibfft~.c 29 Dec 2006 16:11:51 -0000 1.7 *************** *** 4,8 **** */ #ifdef WIN32 ! #include "../../../pd/src/d_mayer_fft.c" #endif --- 4,8 ---- */ #ifdef WIN32 ! #include "../../../pd/src/d_fft_mayer.c" #endif

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autobuild: pd-extended-release debian-testing-powerpc 2006-12-29 06.27.02
by pd＠debian-testing-powerpc.idmi.poly.edu 29 Dec '06

29 Dec '06

ls: /home/pd/auto-build/pd-extended-release/packages/linux_make/build//usr/local/lib/pd/doc/manuals/iem_bin_ambi/*: No such file or directory ls: /home/pd/auto-build/pd-extended-release/packages/linux_make/build//usr/local/lib/pd/doc/manuals/py/scripts/*: No such file or directory mv -i tarbz2Makefile /home/pd/auto-build/pd-extended-release/packages/linux_make/build//usr/local/Makefile install -d /home/pd/auto-build/pd-extended-release/packages/linux_make/build//usr/local rm /home/pd/auto-build/pd-extended-release/packages/linux_make/build//usr/local/README.txt rm: cannot remove `/home/pd/auto-build/pd-extended-release/packages/linux_make/build//usr/local/README.txt': No such file or directory make: [installer_readme] Error 1 (ignored) sed 's|PACKAGE_NAME|Pd-0.39.2-extended-test7|' /home/pd/auto-build/pd-extended-release/packages/linux_make/README > \ /home/pd/auto-build/pd-extended-release/packages/linux_make/build//usr/local/README.txt install -p .pdsettings /home/pd/auto-build/pd-extended-release/packages/linux_make/build//usr/local mv /home/pd/auto-build/pd-extended-release/packages/linux_make/build//usr/local /home/pd/auto-build/pd-extended-release/packages/linux_make/build/Pd-0.39.2-extended-test7 cd /home/pd/auto-build/pd-extended-release/packages/linux_make/build/ && \ tar cjf Pd-0.39.2-extended-test7.tar.bz2 Pd-0.39.2-extended-test7 mv /home/pd/auto-build/pd-extended-release/packages/linux_make/build/Pd-0.39.2-extended-test7 /home/pd/auto-build/pd-extended-release/packages/linux_make/build//usr/local upload specs linux_make build tar.bz2 Uploading /home/pd/auto-build/pd-extended-release/packages/linux_make/build/Pd*.tar.bz2 rsync: writefd_unbuffered failed to write 4 bytes [sender]: Connection reset by peer (104) rsync: write failed on "/2006-12-29/Pd-0.39.2-extended-test7-debian-testing-powerpc.tar.bz2" (in upload): No space left on device (28) rsync: connection unexpectedly closed (26 bytes received so far) [sender] rsync error: error in rsync protocol data stream (code 12) at io.c(453) [sender=2.6.9]

1 0

autobuild: pd-extended-release ubuntu-dapper-i386 2006-12-29 07.35.41
by pd＠ubuntu-dapper-i386.idmi.poly.edu 29 Dec '06

29 Dec '06

ls: /home/pd/auto-build/pd-extended-release/packages/linux_make/build//usr/local/lib/pd/doc/manuals/py/scripts/*: No such file or directory mv -i tarbz2Makefile /home/pd/auto-build/pd-extended-release/packages/linux_make/build//usr/local/Makefile install -d /home/pd/auto-build/pd-extended-release/packages/linux_make/build//usr/local rm /home/pd/auto-build/pd-extended-release/packages/linux_make/build//usr/local/README.txt rm: cannot remove `/home/pd/auto-build/pd-extended-release/packages/linux_make/build//usr/local/README.txt': No such file or directory make: [installer_readme] Error 1 (ignored) sed 's|PACKAGE_NAME|Pd-0.39.2-extended-test7|' /home/pd/auto-build/pd-extended-release/packages/linux_make/README > \ /home/pd/auto-build/pd-extended-release/packages/linux_make/build//usr/local/README.txt install -p .pdsettings /home/pd/auto-build/pd-extended-release/packages/linux_make/build//usr/local mv /home/pd/auto-build/pd-extended-release/packages/linux_make/build//usr/local /home/pd/auto-build/pd-extended-release/packages/linux_make/build/Pd-0.39.2-extended-test7 cd /home/pd/auto-build/pd-extended-release/packages/linux_make/build/ && \ tar cjf Pd-0.39.2-extended-test7.tar.bz2 Pd-0.39.2-extended-test7 mv /home/pd/auto-build/pd-extended-release/packages/linux_make/build/Pd-0.39.2-extended-test7 /home/pd/auto-build/pd-extended-release/packages/linux_make/build//usr/local upload specs linux_make build tar.bz2 Uploading /home/pd/auto-build/pd-extended-release/packages/linux_make/build/Pd*.tar.bz2 rsync: writefd_unbuffered failed to write 4 bytes: phase "unknown" [sender]: Connection reset by peer (104) rsync: write failed on "/2006-12-29/Pd-0.39.2-extended-test7-ubuntu-dapper-i386.tar.bz2" (in upload): No space left on device (28) rsync error: error in file IO (code 11) at receiver.c(290) rsync: connection unexpectedly closed (26 bytes received so far) [sender] rsync error: error in rsync protocol data stream (code 12) at io.c(434)

1 0

autobuild: pd-extended ubuntu-dapper-i386 2006-12-29 07.35.41
by pd＠ubuntu-dapper-i386.idmi.poly.edu 29 Dec '06

29 Dec '06

ls: /home/pd/auto-build/pd-extended/packages/linux_make/build//usr/local/lib/pd/doc/manuals/iem_bin_ambi/*: No such file or directory ls: /home/pd/auto-build/pd-extended/packages/linux_make/build//usr/local/lib/pd/doc/manuals/py/scripts/*: No such file or directory mv -i tarbz2Makefile /home/pd/auto-build/pd-extended/packages/linux_make/build//usr/local/Makefile install -d /home/pd/auto-build/pd-extended/packages/linux_make/build//usr/local rm /home/pd/auto-build/pd-extended/packages/linux_make/build//usr/local/README.txt rm: cannot remove `/home/pd/auto-build/pd-extended/packages/linux_make/build//usr/local/README.txt': No such file or directory make: [installer_readme] Error 1 (ignored) sed 's|PACKAGE_NAME|Pd-0.40.1-extended-2006-12-29|' /home/pd/auto-build/pd-extended/packages/linux_make/README > \ /home/pd/auto-build/pd-extended/packages/linux_make/build//usr/local/README.txt install -p .pdsettings /home/pd/auto-build/pd-extended/packages/linux_make/build//usr/local mv /home/pd/auto-build/pd-extended/packages/linux_make/build//usr/local /home/pd/auto-build/pd-extended/packages/linux_make/build/Pd-0.40.1-extended-2006-12-29 cd /home/pd/auto-build/pd-extended/packages/linux_make/build/ && \ tar cjf Pd-0.40.1-extended-2006-12-29.tar.bz2 Pd-0.40.1-extended-2006-12-29 mv /home/pd/auto-build/pd-extended/packages/linux_make/build/Pd-0.40.1-extended-2006-12-29 /home/pd/auto-build/pd-extended/packages/linux_make/build//usr/local upload specs linux_make build tar.bz2 Uploading /home/pd/auto-build/pd-extended/packages/linux_make/build/Pd*.tar.bz2 rsync: writefd_unbuffered failed to write 4 bytes: phase "unknown" [sender]: Connection reset by peer (104) rsync: write failed on "/2006-12-29/Pd-0.40.1-extended-2006-12-29-ubuntu-dapper-i386.tar.bz2" (in upload): No space left on device (28) rsync: connection unexpectedly closed (26 bytes received so far) [sender] rsync error: error in rsync protocol data stream (code 12) at io.c(434)

1 0

autobuild: pd-extended-release debian-testing-i386 2006-12-29 06.27.08
by pd＠debian-testing-i386.idmi.poly.edu 29 Dec '06

29 Dec '06

ls: /home/pd/auto-build/pd-extended-release/packages/linux_make/build//usr/local/lib/pd/doc/manuals/iem_bin_ambi/*: No such file or directory ls: /home/pd/auto-build/pd-extended-release/packages/linux_make/build//usr/local/lib/pd/doc/manuals/py/scripts/*: No such file or directory mv -i tarbz2Makefile /home/pd/auto-build/pd-extended-release/packages/linux_make/build//usr/local/Makefile install -d /home/pd/auto-build/pd-extended-release/packages/linux_make/build//usr/local rm /home/pd/auto-build/pd-extended-release/packages/linux_make/build//usr/local/README.txt rm: cannot remove `/home/pd/auto-build/pd-extended-release/packages/linux_make/build//usr/local/README.txt': No such file or directory make: [installer_readme] Error 1 (ignored) sed 's|PACKAGE_NAME|Pd-0.39.2-extended-test7|' /home/pd/auto-build/pd-extended-release/packages/linux_make/README > \ /home/pd/auto-build/pd-extended-release/packages/linux_make/build//usr/local/README.txt install -p .pdsettings /home/pd/auto-build/pd-extended-release/packages/linux_make/build//usr/local mv /home/pd/auto-build/pd-extended-release/packages/linux_make/build//usr/local /home/pd/auto-build/pd-extended-release/packages/linux_make/build/Pd-0.39.2-extended-test7 cd /home/pd/auto-build/pd-extended-release/packages/linux_make/build/ && \ tar cjf Pd-0.39.2-extended-test7.tar.bz2 Pd-0.39.2-extended-test7 mv /home/pd/auto-build/pd-extended-release/packages/linux_make/build/Pd-0.39.2-extended-test7 /home/pd/auto-build/pd-extended-release/packages/linux_make/build//usr/local upload specs linux_make build tar.bz2 Uploading /home/pd/auto-build/pd-extended-release/packages/linux_make/build/Pd*.tar.bz2 rsync: writefd_unbuffered failed to write 4 bytes [sender]: Connection reset by peer (104) rsync: write failed on "/2006-12-29/Pd-0.39.2-extended-test7-debian-testing-i386.tar.bz2" (in upload): No space left on device (28) rsync: connection unexpectedly closed (26 bytes received so far) [sender] rsync error: error in rsync protocol data stream (code 12) at io.c(453) [sender=2.6.9]

1 0

autobuild: pd-extended debian-testing-powerpc 2006-12-29 06.27.02
by pd＠debian-testing-powerpc.idmi.poly.edu 29 Dec '06

29 Dec '06

ls: /home/pd/auto-build/pd-extended/packages/linux_make/build//usr/local/lib/pd/doc/manuals/iem_bin_ambi/*: No such file or directory ls: /home/pd/auto-build/pd-extended/packages/linux_make/build//usr/local/lib/pd/doc/manuals/py/scripts/*: No such file or directory mv -i tarbz2Makefile /home/pd/auto-build/pd-extended/packages/linux_make/build//usr/local/Makefile install -d /home/pd/auto-build/pd-extended/packages/linux_make/build//usr/local rm /home/pd/auto-build/pd-extended/packages/linux_make/build//usr/local/README.txt rm: cannot remove `/home/pd/auto-build/pd-extended/packages/linux_make/build//usr/local/README.txt': No such file or directory make: [installer_readme] Error 1 (ignored) sed 's|PACKAGE_NAME|Pd-0.40.1-extended-2006-12-29|' /home/pd/auto-build/pd-extended/packages/linux_make/README > \ /home/pd/auto-build/pd-extended/packages/linux_make/build//usr/local/README.txt install -p .pdsettings /home/pd/auto-build/pd-extended/packages/linux_make/build//usr/local mv /home/pd/auto-build/pd-extended/packages/linux_make/build//usr/local /home/pd/auto-build/pd-extended/packages/linux_make/build/Pd-0.40.1-extended-2006-12-29 cd /home/pd/auto-build/pd-extended/packages/linux_make/build/ && \ tar cjf Pd-0.40.1-extended-2006-12-29.tar.bz2 Pd-0.40.1-extended-2006-12-29 mv /home/pd/auto-build/pd-extended/packages/linux_make/build/Pd-0.40.1-extended-2006-12-29 /home/pd/auto-build/pd-extended/packages/linux_make/build//usr/local upload specs linux_make build tar.bz2 Uploading /home/pd/auto-build/pd-extended/packages/linux_make/build/Pd*.tar.bz2 rsync: writefd_unbuffered failed to write 4 bytes [sender]: Connection reset by peer (104) rsync: write failed on "/2006-12-29/Pd-0.40.1-extended-2006-12-29-debian-testing-powerpc.tar.bz2" (in upload): No space left on device (28) rsync: connection unexpectedly closed (26 bytes received so far) [sender] rsync error: error in rsync protocol data stream (code 12) at io.c(453) [sender=2.6.9]

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Pd-cvs December 2006