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• Error in running script [closed]

  - by SWEngineer

  I'm trying to run heathusf_v1.1.0.tar.gz found here I installed tcsh to make build_heathusf work. But, when I run ./build_heathusf, I get the following (I'm running that on a Fedora Linux system from Terminal): $ ./build_heathusf Compiling programs to build a library of image processing functions. convexpolyscan.c: In function ‘cdelete’: convexpolyscan.c:346:5: warning: incompatible implicit declaration of built-in function ‘bcopy’ [enabled by default] myalloc.c: In function ‘mycalloc’: myalloc.c:68:16: error: invalid storage class for function ‘store_link’ myalloc.c: In function ‘mymalloc’: myalloc.c:101:16: error: invalid storage class for function ‘store_link’ myalloc.c: In function ‘myfree’: myalloc.c:129:27: error: invalid storage class for function ‘find_link’ myalloc.c:131:12: warning: assignment makes pointer from integer without a cast [enabled by default] myalloc.c: At top level: myalloc.c:150:13: warning: conflicting types for ‘store_link’ [enabled by default] myalloc.c:150:13: error: static declaration of ‘store_link’ follows non-static declaration myalloc.c:91:4: note: previous implicit declaration of ‘store_link’ was here myalloc.c:164:24: error: conflicting types for ‘find_link’ myalloc.c:131:14: note: previous implicit declaration of ‘find_link’ was here Building the mammogram resizing program. gcc -O2 -I. -I../common mkimage.o -o mkimage -L../common -lmammo -lm ../common/libmammo.a(aggregate.o): In function `aggregate': aggregate.c:(.text+0x7fa): undefined reference to `mycalloc' aggregate.c:(.text+0x81c): undefined reference to `mycalloc' aggregate.c:(.text+0x868): undefined reference to `mycalloc' ../common/libmammo.a(aggregate.o): In function `aggregate_median': aggregate.c:(.text+0xbc5): undefined reference to `mymalloc' aggregate.c:(.text+0xbfb): undefined reference to `mycalloc' aggregate.c:(.text+0xc3c): undefined reference to `mycalloc' ../common/libmammo.a(aggregate.o): In function `aggregate': aggregate.c:(.text+0x9b5): undefined reference to `myfree' ../common/libmammo.a(aggregate.o): In function `aggregate_median': aggregate.c:(.text+0xd85): undefined reference to `myfree' ../common/libmammo.a(optical_density.o): In function `linear_optical_density': optical_density.c:(.text+0x29e): undefined reference to `mymalloc' optical_density.c:(.text+0x342): undefined reference to `mycalloc' optical_density.c:(.text+0x383): undefined reference to `mycalloc' ../common/libmammo.a(optical_density.o): In function `log10_optical_density': optical_density.c:(.text+0x693): undefined reference to `mymalloc' optical_density.c:(.text+0x74f): undefined reference to `mycalloc' optical_density.c:(.text+0x790): undefined reference to `mycalloc' ../common/libmammo.a(optical_density.o): In function `map_with_ushort_lut': optical_density.c:(.text+0xb2e): undefined reference to `mymalloc' optical_density.c:(.text+0xb87): undefined reference to `mycalloc' optical_density.c:(.text+0xbc6): undefined reference to `mycalloc' ../common/libmammo.a(optical_density.o): In function `linear_optical_density': optical_density.c:(.text+0x4d9): undefined reference to `myfree' ../common/libmammo.a(optical_density.o): In function `log10_optical_density': optical_density.c:(.text+0x8f1): undefined reference to `myfree' ../common/libmammo.a(optical_density.o): In function `map_with_ushort_lut': optical_density.c:(.text+0xd0d): undefined reference to `myfree' ../common/libmammo.a(virtual_image.o): In function `deallocate_cached_image': virtual_image.c:(.text+0x3dc6): undefined reference to `myfree' virtual_image.c:(.text+0x3dd7): undefined reference to `myfree' ../common/libmammo.a(virtual_image.o):virtual_image.c:(.text+0x3de5): more undefined references to `myfree' follow ../common/libmammo.a(virtual_image.o): In function `allocate_cached_image': virtual_image.c:(.text+0x4233): undefined reference to `mycalloc' virtual_image.c:(.text+0x4253): undefined reference to `mymalloc' virtual_image.c:(.text+0x4275): undefined reference to `mycalloc' virtual_image.c:(.text+0x42e7): undefined reference to `mycalloc' virtual_image.c:(.text+0x44f9): undefined reference to `mycalloc' virtual_image.c:(.text+0x47a9): undefined reference to `mycalloc' virtual_image.c:(.text+0x4a45): undefined reference to `mycalloc' virtual_image.c:(.text+0x4af4): undefined reference to `myfree' collect2: error: ld returned 1 exit status make: *** [mkimage] Error 1 Building the breast segmentation program. gcc -O2 -I. -I../common breastsegment.o segment.o -o breastsegment -L../common -lmammo -lm breastsegment.o: In function `render_segmentation_sketch': breastsegment.c:(.text+0x43): undefined reference to `mycalloc' breastsegment.c:(.text+0x58): undefined reference to `mycalloc' breastsegment.c:(.text+0x12f): undefined reference to `mycalloc' breastsegment.c:(.text+0x1b9): undefined reference to `myfree' breastsegment.c:(.text+0x1c6): undefined reference to `myfree' breastsegment.c:(.text+0x1e1): undefined reference to `myfree' segment.o: In function `find_center': segment.c:(.text+0x53): undefined reference to `mycalloc' segment.c:(.text+0x71): undefined reference to `mycalloc' segment.c:(.text+0x387): undefined reference to `myfree' segment.o: In function `bordercode': segment.c:(.text+0x4ac): undefined reference to `mycalloc' segment.c:(.text+0x546): undefined reference to `mycalloc' segment.c:(.text+0x651): undefined reference to `mycalloc' segment.c:(.text+0x691): undefined reference to `myfree' segment.o: In function `estimate_tissue_image': segment.c:(.text+0x10d4): undefined reference to `mycalloc' segment.c:(.text+0x14da): undefined reference to `mycalloc' segment.c:(.text+0x1698): undefined reference to `mycalloc' segment.c:(.text+0x1834): undefined reference to `mycalloc' segment.c:(.text+0x1850): undefined reference to `mycalloc' segment.o:segment.c:(.text+0x186a): more undefined references to `mycalloc' follow segment.o: In function `estimate_tissue_image': segment.c:(.text+0x1bbc): undefined reference to `myfree' segment.c:(.text+0x1c4a): undefined reference to `mycalloc' segment.c:(.text+0x1c7c): undefined reference to `mycalloc' segment.c:(.text+0x1d8e): undefined reference to `myfree' segment.c:(.text+0x1d9b): undefined reference to `myfree' segment.c:(.text+0x1da8): undefined reference to `myfree' segment.c:(.text+0x1dba): undefined reference to `myfree' segment.c:(.text+0x1dc9): undefined reference to `myfree' segment.o:segment.c:(.text+0x1dd8): more undefined references to `myfree' follow segment.o: In function `estimate_tissue_image': segment.c:(.text+0x20bf): undefined reference to `mycalloc' segment.o: In function `segment_breast': segment.c:(.text+0x24cd): undefined reference to `mycalloc' segment.o: In function `find_center': segment.c:(.text+0x3a4): undefined reference to `myfree' segment.o: In function `bordercode': segment.c:(.text+0x6ac): undefined reference to `myfree' ../common/libmammo.a(aggregate.o): In function `aggregate': aggregate.c:(.text+0x7fa): undefined reference to `mycalloc' aggregate.c:(.text+0x81c): undefined reference to `mycalloc' aggregate.c:(.text+0x868): undefined reference to `mycalloc' ../common/libmammo.a(aggregate.o): In function `aggregate_median': aggregate.c:(.text+0xbc5): undefined reference to `mymalloc' aggregate.c:(.text+0xbfb): undefined reference to `mycalloc' aggregate.c:(.text+0xc3c): undefined reference to `mycalloc' ../common/libmammo.a(aggregate.o): In function `aggregate': aggregate.c:(.text+0x9b5): undefined reference to `myfree' ../common/libmammo.a(aggregate.o): In function `aggregate_median': aggregate.c:(.text+0xd85): undefined reference to `myfree' ../common/libmammo.a(cc_label.o): In function `cc_label': cc_label.c:(.text+0x20c): undefined reference to `mycalloc' cc_label.c:(.text+0x6c2): undefined reference to `mycalloc' cc_label.c:(.text+0xbaa): undefined reference to `myfree' ../common/libmammo.a(cc_label.o): In function `cc_label_0bkgd': cc_label.c:(.text+0xe17): undefined reference to `mycalloc' cc_label.c:(.text+0x12d7): undefined reference to `mycalloc' cc_label.c:(.text+0x17e7): undefined reference to `myfree' ../common/libmammo.a(cc_label.o): In function `cc_relabel_by_intensity': cc_label.c:(.text+0x18c5): undefined reference to `mycalloc' ../common/libmammo.a(cc_label.o): In function `cc_label_4connect': cc_label.c:(.text+0x1cf0): undefined reference to `mycalloc' cc_label.c:(.text+0x2195): undefined reference to `mycalloc' cc_label.c:(.text+0x26a4): undefined reference to `myfree' ../common/libmammo.a(cc_label.o): In function `cc_relabel_by_intensity': cc_label.c:(.text+0x1b06): undefined reference to `myfree' ../common/libmammo.a(convexpolyscan.o): In function `polyscan_coords': convexpolyscan.c:(.text+0x6f0): undefined reference to `mycalloc' convexpolyscan.c:(.text+0x75f): undefined reference to `mycalloc' convexpolyscan.c:(.text+0x7ab): undefined reference to `myfree' convexpolyscan.c:(.text+0x7b8): undefined reference to `myfree' ../common/libmammo.a(convexpolyscan.o): In function `polyscan_poly_cacheim': convexpolyscan.c:(.text+0x805): undefined reference to `mycalloc' convexpolyscan.c:(.text+0x894): undefined reference to `myfree' ../common/libmammo.a(mikesfileio.o): In function `read_segmentation_file': mikesfileio.c:(.text+0x1e9): undefined reference to `mycalloc' mikesfileio.c:(.text+0x205): undefined reference to `mycalloc' ../common/libmammo.a(optical_density.o): In function `linear_optical_density': optical_density.c:(.text+0x29e): undefined reference to `mymalloc' optical_density.c:(.text+0x342): undefined reference to `mycalloc' optical_density.c:(.text+0x383): undefined reference to `mycalloc' ../common/libmammo.a(optical_density.o): In function `log10_optical_density': optical_density.c:(.text+0x693): undefined reference to `mymalloc' optical_density.c:(.text+0x74f): undefined reference to `mycalloc' optical_density.c:(.text+0x790): undefined reference to `mycalloc' ../common/libmammo.a(optical_density.o): In function `map_with_ushort_lut': optical_density.c:(.text+0xb2e): undefined reference to `mymalloc' optical_density.c:(.text+0xb87): undefined reference to `mycalloc' optical_density.c:(.text+0xbc6): undefined reference to `mycalloc' ../common/libmammo.a(optical_density.o): In function `linear_optical_density': optical_density.c:(.text+0x4d9): undefined reference to `myfree' ../common/libmammo.a(optical_density.o): In function `log10_optical_density': optical_density.c:(.text+0x8f1): undefined reference to `myfree' ../common/libmammo.a(optical_density.o): In function `map_with_ushort_lut': optical_density.c:(.text+0xd0d): undefined reference to `myfree' ../common/libmammo.a(virtual_image.o): In function `deallocate_cached_image': virtual_image.c:(.text+0x3dc6): undefined reference to `myfree' virtual_image.c:(.text+0x3dd7): undefined reference to `myfree' ../common/libmammo.a(virtual_image.o):virtual_image.c:(.text+0x3de5): more undefined references to `myfree' follow ../common/libmammo.a(virtual_image.o): In function `allocate_cached_image': virtual_image.c:(.text+0x4233): undefined reference to `mycalloc' virtual_image.c:(.text+0x4253): undefined reference to `mymalloc' virtual_image.c:(.text+0x4275): undefined reference to `mycalloc' virtual_image.c:(.text+0x42e7): undefined reference to `mycalloc' virtual_image.c:(.text+0x44f9): undefined reference to `mycalloc' virtual_image.c:(.text+0x47a9): undefined reference to `mycalloc' virtual_image.c:(.text+0x4a45): undefined reference to `mycalloc' virtual_image.c:(.text+0x4af4): undefined reference to `myfree' collect2: error: ld returned 1 exit status make: *** [breastsegment] Error 1 Building the mass feature generation program. gcc -O2 -I. -I../common afumfeature.o -o afumfeature -L../common -lmammo -lm afumfeature.o: In function `afum_process': afumfeature.c:(.text+0xd80): undefined reference to `mycalloc' afumfeature.c:(.text+0xd9c): undefined reference to `mycalloc' afumfeature.c:(.text+0xe80): undefined reference to `mycalloc' afumfeature.c:(.text+0x11f8): undefined reference to `myfree' afumfeature.c:(.text+0x1207): undefined reference to `myfree' afumfeature.c:(.text+0x1214): undefined reference to `myfree' ../common/libmammo.a(aggregate.o): In function `aggregate': aggregate.c:(.text+0x7fa): undefined reference to `mycalloc' aggregate.c:(.text+0x81c): undefined reference to `mycalloc' aggregate.c:(.text+0x868): undefined reference to `mycalloc' ../common/libmammo.a(aggregate.o): In function `aggregate_median': aggregate.c:(.text+0xbc5): undefined reference to `mymalloc' aggregate.c:(.text+0xbfb): undefined reference to `mycalloc' aggregate.c:(.text+0xc3c): undefined reference to `mycalloc' ../common/libmammo.a(aggregate.o): In function `aggregate': aggregate.c:(.text+0x9b5): undefined reference to `myfree' ../common/libmammo.a(aggregate.o): In function `aggregate_median': aggregate.c:(.text+0xd85): undefined reference to `myfree' ../common/libmammo.a(convexpolyscan.o): In function `polyscan_coords': convexpolyscan.c:(.text+0x6f0): undefined reference to `mycalloc' convexpolyscan.c:(.text+0x75f): undefined reference to `mycalloc' convexpolyscan.c:(.text+0x7ab): undefined reference to `myfree' convexpolyscan.c:(.text+0x7b8): undefined reference to `myfree' ../common/libmammo.a(convexpolyscan.o): In function `polyscan_poly_cacheim': convexpolyscan.c:(.text+0x805): undefined reference to `mycalloc' convexpolyscan.c:(.text+0x894): undefined reference to `myfree' ../common/libmammo.a(mikesfileio.o): In function `read_segmentation_file': mikesfileio.c:(.text+0x1e9): undefined reference to `mycalloc' mikesfileio.c:(.text+0x205): undefined reference to `mycalloc' ../common/libmammo.a(optical_density.o): In function `linear_optical_density': optical_density.c:(.text+0x29e): undefined reference to `mymalloc' optical_density.c:(.text+0x342): undefined reference to `mycalloc' optical_density.c:(.text+0x383): undefined reference to `mycalloc' ../common/libmammo.a(optical_density.o): In function `log10_optical_density': optical_density.c:(.text+0x693): undefined reference to `mymalloc' optical_density.c:(.text+0x74f): undefined reference to `mycalloc' optical_density.c:(.text+0x790): undefined reference to `mycalloc' ../common/libmammo.a(optical_density.o): In function `map_with_ushort_lut': optical_density.c:(.text+0xb2e): undefined reference to `mymalloc' optical_density.c:(.text+0xb87): undefined reference to `mycalloc' optical_density.c:(.text+0xbc6): undefined reference to `mycalloc' ../common/libmammo.a(optical_density.o): In function `linear_optical_density': optical_density.c:(.text+0x4d9): undefined reference to `myfree' ../common/libmammo.a(optical_density.o): In function `log10_optical_density': optical_density.c:(.text+0x8f1): undefined reference to `myfree' ../common/libmammo.a(optical_density.o): In function `map_with_ushort_lut': optical_density.c:(.text+0xd0d): undefined reference to `myfree' ../common/libmammo.a(virtual_image.o): In function `deallocate_cached_image': virtual_image.c:(.text+0x3dc6): undefined reference to `myfree' virtual_image.c:(.text+0x3dd7): undefined reference to `myfree' ../common/libmammo.a(virtual_image.o):virtual_image.c:(.text+0x3de5): more undefined references to `myfree' follow ../common/libmammo.a(virtual_image.o): In function `allocate_cached_image': virtual_image.c:(.text+0x4233): undefined reference to `mycalloc' virtual_image.c:(.text+0x4253): undefined reference to `mymalloc' virtual_image.c:(.text+0x4275): undefined reference to `mycalloc' virtual_image.c:(.text+0x42e7): undefined reference to `mycalloc' virtual_image.c:(.text+0x44f9): undefined reference to `mycalloc' virtual_image.c:(.text+0x47a9): undefined reference to `mycalloc' virtual_image.c:(.text+0x4a45): undefined reference to `mycalloc' virtual_image.c:(.text+0x4af4): undefined reference to `myfree' collect2: error: ld returned 1 exit status make: *** [afumfeature] Error 1 Building the mass detection program. make: Nothing to be done for `all'. Building the performance evaluation program. gcc -O2 -I. -I../common DDSMeval.o polyscan.o -o DDSMeval -L../common -lmammo -lm ../common/libmammo.a(mikesfileio.o): In function `read_segmentation_file': mikesfileio.c:(.text+0x1e9): undefined reference to `mycalloc' mikesfileio.c:(.text+0x205): undefined reference to `mycalloc' collect2: error: ld returned 1 exit status make: *** [DDSMeval] Error 1 Building the template creation program. gcc -O2 -I. -I../common mktemplate.o polyscan.o -o mktemplate -L../common -lmammo -lm Building the drawimage program. gcc -O2 -I. -I../common drawimage.o -o drawimage -L../common -lmammo -lm ../common/libmammo.a(mikesfileio.o): In function `read_segmentation_file': mikesfileio.c:(.text+0x1e9): undefined reference to `mycalloc' mikesfileio.c:(.text+0x205): undefined reference to `mycalloc' collect2: error: ld returned 1 exit status make: *** [drawimage] Error 1 Building the compression/decompression program jpeg. gcc -O2 -DSYSV -DNOTRUNCATE -c lexer.c lexer.c:41:1: error: initializer element is not constant lexer.c:41:1: error: (near initialization for ‘yyin’) lexer.c:41:1: error: initializer element is not constant lexer.c:41:1: error: (near initialization for ‘yyout’) lexer.c: In function ‘initparser’: lexer.c:387:21: warning: incompatible implicit declaration of built-in function ‘strlen’ [enabled by default] lexer.c: In function ‘MakeLink’: lexer.c:443:16: warning: incompatible implicit declaration of built-in function ‘malloc’ [enabled by default] lexer.c:447:7: warning: incompatible implicit declaration of built-in function ‘exit’ [enabled by default] lexer.c:452:7: warning: incompatible implicit declaration of built-in function ‘exit’ [enabled by default] lexer.c:455:34: warning: incompatible implicit declaration of built-in function ‘calloc’ [enabled by default] lexer.c:458:7: warning: incompatible implicit declaration of built-in function ‘exit’ [enabled by default] lexer.c:460:3: warning: incompatible implicit declaration of built-in function ‘strcpy’ [enabled by default] lexer.c: In function ‘getstr’: lexer.c:548:26: warning: incompatible implicit declaration of built-in function ‘malloc’ [enabled by default] lexer.c:552:4: warning: incompatible implicit declaration of built-in function ‘exit’ [enabled by default] lexer.c:557:21: warning: incompatible implicit declaration of built-in function ‘calloc’ [enabled by default] lexer.c:557:28: warning: incompatible implicit declaration of built-in function ‘strlen’ [enabled by default] lexer.c:561:7: warning: incompatible implicit declaration of built-in function ‘exit’ [enabled by default] lexer.c: In function ‘parser’: lexer.c:794:21: warning: incompatible implicit declaration of built-in function ‘calloc’ [enabled by default] lexer.c:798:8: warning: incompatible implicit declaration of built-in function ‘exit’ [enabled by default] lexer.c:1074:21: warning: incompatible implicit declaration of built-in function ‘calloc’ [enabled by default] lexer.c:1078:8: warning: incompatible implicit declaration of built-in function ‘exit’ [enabled by default] lexer.c:1116:21: warning: incompatible implicit declaration of built-in function ‘calloc’ [enabled by default] lexer.c:1120:8: warning: incompatible implicit declaration of built-in function ‘exit’ [enabled by default] lexer.c:1154:25: warning: incompatible implicit declaration of built-in function ‘calloc’ [enabled by default] lexer.c:1158:5: warning: incompatible implicit declaration of built-in function ‘exit’ [enabled by default] lexer.c:1190:5: warning: incompatible implicit declaration of built-in function ‘exit’ [enabled by default] lexer.c:1247:25: warning: incompatible implicit declaration of built-in function ‘calloc’ [enabled by default] lexer.c:1251:5: warning: incompatible implicit declaration of built-in function ‘exit’ [enabled by default] lexer.c:1283:5: warning: incompatible implicit declaration of built-in function ‘exit’ [enabled by default] lexer.c: In function ‘yylook’: lexer.c:1867:9: warning: cast from pointer to integer of different size [-Wpointer-to-int-cast] lexer.c:1867:20: warning: cast from pointer to integer of different size [-Wpointer-to-int-cast] lexer.c:1877:12: warning: cast from pointer to integer of different size [-Wpointer-to-int-cast] lexer.c:1877:23: warning: cast from pointer to integer of different size [-Wpointer-to-int-cast] make: *** [lexer.o] Error 1

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• Parsing / Extracting Text from String in Rails?

  - by user641116

  I have a string in Rails, e.g. "This is a Twitter message. #books War & Peace by Leo Tolstoy. I love this book!", and I want to parse the text and extract only certain phrases, like "War & Peace by Leo Tolstoy". Is this a matter of using Regex and lifting the text between "#books" to "."? What if there's no structure to the message, like: "This is a Twitter message #books War & Peace by Leo Tolstoy I love this book!" or "This is a Twitter message. I love the book War & Peace by Leo Tolstoy #books" How can I reliably pull the phrase "War & Peace by Leo Tolstoy" without knowing the phrase ex ante. Are there any gems, methods, etc. that can help me do this? At the very least, what would you call what I'm trying to do? It will help me search for a solution on Google. I've tried a few searches on "parsing" with no luck.

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• How to split a text file into multiple text files

  - by Andrew

  I have a text file called entry.txt that contains the following: [ entry1 ] 1239 1240 1242 1391 1392 1394 1486 1487 1489 1600 1601 1603 1657 1658 1660 2075 2076 2078 2322 2323 2325 2740 2741 2743 3082 3083 3085 3291 3292 3294 3481 3482 3484 3633 3634 3636 3690 3691 3693 3766 3767 3769 4526 4527 4529 4583 4584 4586 4773 4774 4776 5153 5154 5156 5628 5629 5631 [ entry2 ] 1239 1240 1242 1391 1392 1394 1486 1487 1489 1600 1601 1603 1657 1658 1660 2075 2076 2078 2322 2323 2325 2740 2741 2743 3082 3083 3085 3291 3292 3294 3481 3482 3484 3690 3691 3693 3766 3767 3769 4526 4527 4529 4583 4584 4586 4773 4774 4776 5153 5154 5156 5628 5629 5631 [ entry3 ] 1239 1240 1242 1391 1392 1394 1486 1487 1489 1600 1601 1603 1657 1658 1660 2075 2076 2078 2322 2323 2325 2740 2741 2743 3082 3083 3085 3291 3292 3294 3481 3482 3484 3690 3691 3693 3766 3767 3769 4241 4242 4244 4526 4527 4529 4583 4584 4586 4773 4774 4776 5153 5154 5156 5495 5496 5498 5628 5629 5631 I would like to split it into three text files: entry1.txt, entry2.txt, entry3.txt. Their contents are as follows. entry1.txt: [ entry1 ] 1239 1240 1242 1391 1392 1394 1486 1487 1489 1600 1601 1603 1657 1658 1660 2075 2076 2078 2322 2323 2325 2740 2741 2743 3082 3083 3085 3291 3292 3294 3481 3482 3484 3633 3634 3636 3690 3691 3693 3766 3767 3769 4526 4527 4529 4583 4584 4586 4773 4774 4776 5153 5154 5156 5628 5629 5631 entry2.txt: [ entry2 ] 1239 1240 1242 1391 1392 1394 1486 1487 1489 1600 1601 1603 1657 1658 1660 2075 2076 2078 2322 2323 2325 2740 2741 2743 3082 3083 3085 3291 3292 3294 3481 3482 3484 3690 3691 3693 3766 3767 3769 4526 4527 4529 4583 4584 4586 4773 4774 4776 5153 5154 5156 5628 5629 5631 entry3.txt: [ entry3 ] 1239 1240 1242 1391 1392 1394 1486 1487 1489 1600 1601 1603 1657 1658 1660 2075 2076 2078 2322 2323 2325 2740 2741 2743 3082 3083 3085 3291 3292 3294 3481 3482 3484 3690 3691 3693 3766 3767 3769 4241 4242 4244 4526 4527 4529 4583 4584 4586 4773 4774 4776 5153 5154 5156 5495 5496 5498 5628 5629 5631 In other words, the [ character indicates a new file should begin. Is there any way I can accomplish automatic text file splitting? My eventual, actual input entry.txt actually contains 200,001 entries. Doing the text split in either Windows or Linux would be great. I do not have access to a Mac machine. Thanks!

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• Text inside <p> shrinks on mobile devices while div does not [migrated]

  - by guisasso

  I asked this question on stack overflow, but didn't get any answers, so I'm trying here. Does anybody know whats happening here? I tested on opera, dolphin and the factory android browser. (although it seems now to be working on opera) The div doesn't change size, but the text somehow is shrunk to fit on part of a div. Anyway to prevent this? Just to be clear, I'm trying to achieve on the mobile browser the same look as the pc version. As the problem seems to be with the browsers, how can I force the text to take the full width of the div? I tried setting the p tag to 100% with no success. The div has to have that width and be aligned to the left of the page. On a Pc, as it should be: I shrunk the code as much as I could: <!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> <html xmlns="http://www.w3.org/1999/xhtml" lang="en-us"> <head> <meta content="text/html; charset=utf-8" http-equiv="Content-Type" /> <meta content="" name="keywords" /> <meta content="" name="description" /> <title></title> </head> <body> <div style="width:1000px; margin-left:auto; margin-right:auto;" > <div style="float:left; width:758px; background-color:aqua;"> <p> Random text Random text Random text Random text Random text Random text Random text Random text Random text Random text Random text Random text Random text Random text Random text Random text Random text Random text Random text Random text Random text Random text Random text Random text Random text Random text Random text Random text Random text Random text Random text Random text Random text Random text Random text Random text Random text Random text Random text Random text Random text Random text Random text Random text Random text Random text Random text Random text Random text Random text .<br /> <br /> Random text Random text Random text Random text Random text Random text Random text Random text Random text Random text Random text .<br /> <br /> Random text Random text Random text Random text <a href="http://www.a.com/a.html"> Random text </a> Random text Random text . </p> </div> </div> </body> </html> Thanks.

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• Sublime Text 2 'text bubbling'?

  - by Alex Mcp

  In vim and Notepad++ I have an awesome feature either mapped or built in that I've seen called text bubbling. I know about the Sublime documentation for mapping my own, but wanted to make sure I wasn't duplicating functionality: Basically when I have either block of text selected, or just a cursor on a line, I push (ctrl + up/down) or some other mapping, and the text is moved up or down, in a block, and the rest of the text 'flows' around it. Is this a native feature in Sublime Text or should I script it in?

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• EXCEL VBA STUDENTS DATABASE [on hold]

  - by BENTET

  I AM DEVELOPING AN EXCEL DATABASE TO RECORD STUDENTS DETAILS. THE HEADINGS OF THE TABLE ARE DATE,YEAR, PAYMENT SLIP NO.,STUDENT NUMBER,NAME,FEES,AMOUNT PAID, BALANCE AND PREVIOUS BALANCE. I HAVE BEEN ABLE TO PUT UP SOME CODE WHICH IS WORKING, BUT THERE ARE SOME SETBACKS THAT I WANT TO BE ADDRESSED.I ACTUALLY DEVELOPED A USERFORM FOR EACH PROGRAMME OF THE INSTITUTION AND ASSIGNED EACH TO A SPECIFIC SHEET BUT WHENEVER I ADD A RECORD, IT DOES NOT GO TO THE ASSIGNED SHEET BUT GOES TO THE ACTIVE SHEET.ALSO I WANT TO HIDE ALL SHEETS AND BE WORKING ONLY ON THE USERFORMS WHEN THE WORKBOOK IS OPENED.ONE PROBLEM AM ALSO FACING IS THE UPDATE CODE.WHENEVER I UPDATE A RECORD ON A SPECIFIC ROW, IT RATHER EDIT THE RECORD ON THE FIRST ROW NOT THE RECORD EDITED.THIS IS THE CODE I HAVE BUILT SO FAR.I AM VIRTUALLY A NOVICE IN PROGRAMMING. Private Sub cmdAdd_Click() Dim lastrow As Long lastrow = Sheets("Sheet4").Range("A" & Rows.Count).End(xlUp).Row Cells(lastrow + 1, "A").Value = txtDate.Text Cells(lastrow + 1, "B").Value = ComBox1.Text Cells(lastrow + 1, "C").Value = txtSlipNo.Text Cells(lastrow + 1, "D").Value = txtStudentNum.Text Cells(lastrow + 1, "E").Value = txtName.Text Cells(lastrow + 1, "F").Value = txtFees.Text Cells(lastrow + 1, "G").Value = txtAmountPaid.Text txtDate.Text = "" ComBox1.Text = "" txtSlipNo.Text = "" txtStudentNum.Text = "" txtName.Text = "" txtFees.Text = "" txtAmountPaid.Text = "" End Sub Private Sub cmdClear_Click() txtDate.Text = "" ComBox1.Text = "" txtSlipNo.Text = "" txtStudentNum.Text = "" txtName.Text = "" txtFees.Text = "" txtAmountPaid.Text = "" txtBalance.Text = "" End Sub Private Sub cmdClearD_Click() txtDate.Text = "" ComBox1.Text = "" txtSlipNo.Text = "" txtStudentNum.Text = "" txtName.Text = "" txtFees.Text = "" txtAmountPaid.Text = "" txtBalance.Text = "" End Sub Private Sub cmdClose_Click() Unload Me End Sub Private Sub cmdDelete_Click() 'declare the variables Dim findvalue As Range Dim cDelete As VbMsgBoxResult 'check for values If txtStudentNum.Value = "" Or txtName.Value = "" Or txtDate.Text = "" Or ComBox1.Text = "" Or txtSlipNo.Text = "" Or txtFees.Text = "" Or txtAmountPaid.Text = "" Or txtBalance.Text = "" Then MsgBox "There is not data to delete" Exit Sub End If 'give the user a chance to change their mind cDelete = MsgBox("Are you sure that you want to delete this student", vbYesNo + vbDefaultButton2, "Are you sure????") If cDelete = vbYes Then 'delete the row Set findvalue = Sheet4.Range("D:D").Find(What:=txtStudentNum, LookIn:=xlValues) findvalue.EntireRow.Delete End If 'clear the controls txtDate.Text = "" ComBox1.Text = "" txtSlipNo.Text = "" txtStudentNum.Text = "" txtName.Text = "" 'txtFees.Text = "" txtAmountPaid.Text = "" txtBalance.Text = "" End Sub Private Sub cmdSearch_Click() Dim lastrow As Long Dim currentrow As Long Dim studentnum As String lastrow = Sheets("Sheet4").Range("A" & Rows.Count).End(xlUp).Row studentnum = txtStudentNum.Text For currentrow = 2 To lastrow If Cells(currentrow, 4).Text = studentnum Then txtDate.Text = Cells(currentrow, 1) ComBox1.Text = Cells(currentrow, 2) txtSlipNo.Text = Cells(currentrow, 3) txtStudentNum.Text = Cells(currentrow, 4).Text txtName.Text = Cells(currentrow, 5) txtFees.Text = Cells(currentrow, 6) txtAmountPaid.Text = Cells(currentrow, 7) txtBalance.Text = Cells(currentrow, 8) End If Next currentrow txtStudentNum.SetFocus End Sub Private Sub cmdSearchName_Click() Dim lastrow As Long Dim currentrow As Long Dim studentname As String lastrow = Sheets("Sheet4").Range("A" & Rows.Count).End(xlUp).Row studentname = txtName.Text For currentrow = 2 To lastrow If Cells(currentrow, 5).Text = studentname Then txtDate.Text = Cells(currentrow, 1) ComBox1.Text = Cells(currentrow, 2) txtSlipNo.Text = Cells(currentrow, 3) txtStudentNum.Text = Cells(currentrow, 4) txtName.Text = Cells(currentrow, 5).Text txtFees.Text = Cells(currentrow, 6) txtAmountPaid.Text = Cells(currentrow, 7) txtBalance.Text = Cells(currentrow, 8) End If Next currentrow txtName.SetFocus End Sub Private Sub cmdUpdate_Click() Dim tdate As String Dim tlevel As String Dim tslipno As String Dim tstudentnum As String Dim tname As String Dim tfees As String Dim tamountpaid As String Dim currentrow As Long Dim lastrow As Long 'If Cells(currentrow, 5).Text = studentname Then 'txtDate.Text = Cells(currentrow, 1) lastrow = Sheets("Sheet4").Range("A" & Columns.Count).End(xlUp).Offset(0, 1).Column For currentrow = 2 To lastrow tdate = txtDate.Text Cells(currentrow, 1).Value = tdate txtDate.Text = Cells(currentrow, 1) tlevel = ComBox1.Text Cells(currentrow, 2).Value = tlevel ComBox1.Text = Cells(currentrow, 2) tslipno = txtSlipNo.Text Cells(currentrow, 3).Value = tslipno txtSlipNo = Cells(currentrow, 3) tstudentnum = txtStudentNum.Text Cells(currentrow, 4).Value = tstudentnum txtStudentNum.Text = Cells(currentrow, 4) tname = txtName.Text Cells(currentrow, 5).Value = tname txtName.Text = Cells(currentrow, 5) tfees = txtFees.Text Cells(currentrow, 6).Value = tfees txtFees.Text = Cells(currentrow, 6) tamountpaid = txtAmountPaid.Text Cells(currentrow, 7).Value = tamountpaid txtAmountPaid.Text = Cells(currentrow, 7) Next currentrow txtDate.SetFocus ComBox1.SetFocus txtSlipNo.SetFocus txtStudentNum.SetFocus txtName.SetFocus txtFees.SetFocus txtAmountPaid.SetFocus txtBalance.SetFocus End Sub PLEASE I WAS THINKING IF I CAN DEVELOP SOMETHING THAT WILL USE ONLY ONE USERFORM TO SEND DATA TO DIFFERENT SHEETS IN THE WORKBOOK.

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• Looking for speech-to-text tool (convert .wav to text)

  - by David

  I have the ability to get .wav files of voice mails emailed to me, but sometimes I'll be sitting in a meeting and I need to know the content of a message without playing it out loud. Are there any good (and, preferably, free) tools for converting .wav files to text? I know Google Voice has this capability, but I can't determine if it'll work on a file-by-file basis. I realize that this is a difficult research problem, but even an 80% solution might be workable.

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• Looking for speech-to-text tool (convert .wav to text)

  - by David

  I have the ability to get .wav files of voice mails emailed to me, but sometimes I'll be sitting in a meeting and I need to know the content of a message without playing it out loud. Are there any good (and, preferably, free) tools for converting .wav files to text? I know Google Voice has this capability, but I can't determine if it'll work on a file-by-file basis. I realize that this is a difficult research problem, but even an 80% solution might be workable.

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• Using a "white list" for extracting terms for Text Mining

  - by [email protected]

  In Part 1 of my post on "Generating cluster names from a document clustering model" (part 1, part 2, part 3), I showed how to build a clustering model from text documents using Oracle Data Miner, which automates preparing data for text mining. In this process we specified a custom stoplist and lexer and relied on Oracle Text to identify important terms.  However, there is an alternative approach, the white list, which uses a thesaurus object with the Oracle Text CTXRULE index to allow you to specify the important terms. INTRODUCTIONA stoplist is used to exclude, i.e., black list, specific words in your documents from being indexed. For example, words like a, if, and, or, and but normally add no value when text mining. Other words can also be excluded if they do not help to differentiate documents, e.g., the word Oracle is ubiquitous in the Oracle product literature. One problem with stoplists is determining which words to specify. This usually requires inspecting the terms that are extracted, manually identifying which ones you don't want, and then re-indexing the documents to determine if you missed any. Since a corpus of documents could contain thousands of words, this could be a tedious exercise. Moreover, since every word is considered as an individual token, a term excluded in one context may be needed to help identify a term in another context. For example, in our Oracle product literature example, the words "Oracle Data Mining" taken individually are not particular helpful. The term "Oracle" may be found in nearly all documents, as with the term "Data." The term "Mining" is more unique, but could also refer to the Mining industry. If we exclude "Oracle" and "Data" by specifying them in the stoplist, we lose valuable information. But it we include them, they may introduce too much noise. Still, when you have a broad vocabulary or don't have a list of specific terms of interest, you rely on the text engine to identify important terms, often by computing the term frequency - inverse document frequency metric. (This is effectively a weight associated with each term indicating its relative importance in a document within a collection of documents. We'll revisit this later.) The results using this technique is often quite valuable. As noted above, an alternative to the subtractive nature of the stoplist is to specify a white list, or a list of terms--perhaps multi-word--that we want to extract and use for data mining. The obvious downside to this approach is the need to specify the set of terms of interest. However, this may not be as daunting a task as it seems. For example, in a given domain (Oracle product literature), there is often a recognized glossary, or a list of keywords and phrases (Oracle product names, industry names, product categories, etc.). Being able to identify multi-word terms, e.g., "Oracle Data Mining" or "Customer Relationship Management" as a single token can greatly increase the quality of the data mining results. The remainder of this post and subsequent posts will focus on how to produce a dataset that contains white list terms, suitable for mining. CREATING A WHITE LIST We'll leverage the thesaurus capability of Oracle Text. Using a thesaurus, we create a set of rules that are in effect our mapping from single and multi-word terms to the tokens used to represent those terms. For example, "Oracle Data Mining" becomes "ORACLEDATAMINING." First, we'll create and populate a mapping table called my_term_token_map. All text has been converted to upper case and values in the TERM column are intended to be mapped to the token in the TOKEN column. TERM                                TOKEN DATA MINING                         DATAMINING ORACLE DATA MINING                  ORACLEDATAMINING 11G                                 ORACLE11G JAVA                                JAVA CRM                                 CRM CUSTOMER RELATIONSHIP MANAGEMENT    CRM ... Next, we'll create a thesaurus object my_thesaurus and a rules table my_thesaurus_rules: CTX_THES.CREATE_THESAURUS('my_thesaurus', FALSE); CREATE TABLE my_thesaurus_rules (main_term     VARCHAR2(100),                                  query_string  VARCHAR2(400)); We next populate the thesaurus object and rules table using the term token map. A cursor is defined over my_term_token_map. As we iterate over  the rows, we insert a synonym relationship 'SYN' into the thesaurus. We also insert into the table my_thesaurus_rules the main term, and the corresponding query string, which specifies synonyms for the token in the thesaurus. DECLARE   cursor c2 is     select token, term     from my_term_token_map; BEGIN   for r_c2 in c2 loop     CTX_THES.CREATE_RELATION('my_thesaurus',r_c2.token,'SYN',r_c2.term);     EXECUTE IMMEDIATE 'insert into my_thesaurus_rules values                        (:1,''SYN(' || r_c2.token || ', my_thesaurus)'')'     using r_c2.token;   end loop; END; We are effectively inserting the token to return and the corresponding query that will look up synonyms in our thesaurus into the my_thesaurus_rules table, for example:     'ORACLEDATAMINING'        SYN ('ORACLEDATAMINING', my_thesaurus)At this point, we create a CTXRULE index on the my_thesaurus_rules table: create index my_thesaurus_rules_idx on        my_thesaurus_rules(query_string)        indextype is ctxsys.ctxrule; In my next post, this index will be used to extract the tokens that match each of the rules specified. We'll then compute the tf-idf weights for each of the terms and create a nested table suitable for mining.

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• Coloring even heighten columns

  - by verror

  I try to set different a background colors for left and right columns and to maintain the same height. So I set a background color for outer wrapper ("container" div) so it will set a color to rightBar. But this didn't work. Online Demo I want it to work on all browsers. Markup: <!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01//EN" "http://www.w3.org/TR/html4/strict.dtd"> <html lang="en"> <head> <title>Test</title> </head> <body> <div class="contentcontainer"> <div class="container"> <div class="mainBar"> <p>Text Text Text Text Text Text Text Text Text Text Text Text Text Text </p> <p>Text Text Text Text Text Text Text Text Text Text Text Text Text Text </p> <p>Text Text Text Text Text Text Text Text Text Text Text Text Text Text </p> <p>Text Text Text Text Text Text Text Text Text Text Text Text Text Text </p> <p>Text Text Text Text Text Text Text Text Text Text Text Text Text Text </p> <p>Text Text Text Text Text Text Text Text Text Text Text Text Text Text </p> <p>Text Text Text Text Text Text Text Text Text Text Text Text Text Text </p> <p>Text Text Text Text Text Text Text Text Text Text Text Text Text Text </p> <p>Text Text Text Text Text Text Text Text Text Text Text Text Text Text </p> <p>Text Text Text Text Text Text Text Text Text Text Text Text Text Text </p> <p>Text Text Text Text Text Text Text Text Text Text Text Text Text Text </p> <p>Text Text Text Text Text Text Text Text Text Text Text Text Text Text </p> <p>Text Text Text Text Text Text Text Text Text Text Text Text Text Text </p> <p>Text Text Text Text Text Text Text Text Text Text Text Text Text Text </p> <p>Text Text Text Text Text Text Text Text Text Text Text Text Text Text </p> <p>Text Text Text Text Text Text Text Text Text Text Text Text Text Text </p> <p>Text Text Text Text Text Text Text Text Text Text Text Text Text Text </p> <p>Text Text Text Text Text Text Text Text Text Text Text Text Text Text </p> <p>Text Text Text Text Text Text Text Text Text Text Text Text Text Text </p> <p>Text Text Text Text Text Text Text Text Text Text Text Text Text Text </p> <p>Text Text Text Text Text Text Text Text Text Text Text Text Text Text </p> <p>Text Text Text Text Text Text Text Text Text Text Text Text Text Text </p> <p>Text Text Text Text Text Text Text Text Text Text Text Text Text Text </p> <p>Text Text Text Text Text Text Text Text Text Text Text Text Text Text </p> </div> <div class="rightBar"> <p>BAR Text BAR Text BAR Text</p> <p>BAR Text BAR Text BAR Text</p> <p>BAR Text BAR Text BAR Text</p> <p>BAR Text BAR Text BAR Text</p> <p>BAR Text BAR Text BAR Text</p> <p>BAR Text BAR Text BAR Text</p> <p>BAR Text BAR Text BAR Text</p> <p>BAR Text BAR Text BAR Text</p> <p>BAR Text BAR Text BAR Text</p> <p>BAR Text BAR Text BAR Text</p> </div> </div> </div> </body> </html> CSS: body { font-family: Verdana,Tahoma,Arial, "Trebuchet MS" ,Sans-Serif,Georgia,Courier, "Times New Roman" ,Serif; margin: 0px; padding: 0px; background: repeat-x scroll center bottom #C4DAE9; text-align:center; } .contentcontainer { } .container { margin-left: auto; margin-right: auto; margin-top:5px; width: 99%; text-align: left; background-color:Gray; clear:both; } .mainBar { width:70%; float:left; background-color:White; } .rightBar { width:30%; float:left; }

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• Using a "white list" for extracting terms for Text Mining, Part 2

  - by [email protected]

  In my last post, we set the groundwork for extracting specific tokens from a white list using a CTXRULE index. In this post, we will populate a table with the extracted tokens and produce a case table suitable for clustering with Oracle Data Mining. Our corpus of documents will be stored in a database table that is defined as create table documents(id NUMBER, text VARCHAR2(4000)); However, any suitable Oracle Text-accepted data type can be used for the text. We then create a table to contain the extracted tokens. The id column contains the unique identifier (or case id) of the document. The token column contains the extracted token. Note that a given document many have many tokens, so there will be one row per token for a given document. create table extracted_tokens (id NUMBER, token VARCHAR2(4000)); The next step is to iterate over the documents and extract the matching tokens using the index and insert them into our token table. We use the MATCHES function for matching the query_string from my_thesaurus_rules with the text. DECLARE     cursor c2 is       select id, text       from documents; BEGIN     for r_c2 in c2 loop        insert into extracted_tokens          select r_c2.id id, main_term token          from my_thesaurus_rules          where matches(query_string,                        r_c2.text)>0;     end loop; END; Now that we have the tokens, we can compute the term frequency - inverse document frequency (TF-IDF) for each token of each document. create table extracted_tokens_tfidf as   with num_docs as (select count(distinct id) doc_cnt                     from extracted_tokens),        tf       as (select a.id, a.token,                            a.token_cnt/b.num_tokens token_freq                     from                        (select id, token, count(*) token_cnt                        from extracted_tokens                        group by id, token) a,                       (select id, count(*) num_tokens                        from extracted_tokens                        group by id) b                     where a.id=b.id),        doc_freq as (select token, count(*) overall_token_cnt                     from extracted_tokens                     group by token)   select tf.id, tf.token,          token_freq * ln(doc_cnt/df.overall_token_cnt) tf_idf   from num_docs,        tf,        doc_freq df   where df.token=tf.token; From the WITH clause, the num_docs query simply counts the number of documents in the corpus. The tf query computes the term (token) frequency by computing the number of times each token appears in a document and divides that by the number of tokens found in the document. The doc_req query counts the number of times the token appears overall in the corpus. In the SELECT clause, we compute the tf_idf. Next, we create the nested table required to produce one record per case, where a case corresponds to an individual document. Here, we COLLECT all the tokens for a given document into the nested column extracted_tokens_tfidf_1. CREATE TABLE extracted_tokens_tfidf_nt              NESTED TABLE extracted_tokens_tfidf_1                  STORE AS extracted_tokens_tfidf_tab AS              select id,                     cast(collect(DM_NESTED_NUMERICAL(token,tf_idf)) as DM_NESTED_NUMERICALS) extracted_tokens_tfidf_1              from extracted_tokens_tfidf              group by id;   To build the clustering model, we create a settings table and then insert the various settings. Most notable are the number of clusters (20), using cosine distance which is better for text, turning off auto data preparation since the values are ready for mining, the number of iterations (20) to get a better model, and the split criterion of size for clusters that are roughly balanced in number of cases assigned. CREATE TABLE km_settings (setting_name  VARCHAR2(30), setting_value VARCHAR2(30)); BEGIN  INSERT INTO km_settings (setting_name, setting_value) VALUES     VALUES (dbms_data_mining.clus_num_clusters, 20);  INSERT INTO km_settings (setting_name, setting_value)     VALUES (dbms_data_mining.kmns_distance, dbms_data_mining.kmns_cosine);   INSERT INTO km_settings (setting_name, setting_value) VALUES     VALUES (dbms_data_mining.prep_auto,dbms_data_mining.prep_auto_off);   INSERT INTO km_settings (setting_name, setting_value) VALUES     VALUES (dbms_data_mining.kmns_iterations,20);   INSERT INTO km_settings (setting_name, setting_value) VALUES     VALUES (dbms_data_mining.kmns_split_criterion,dbms_data_mining.kmns_size);   COMMIT; END; With this in place, we can now build the clustering model. BEGIN     DBMS_DATA_MINING.CREATE_MODEL(     model_name          => 'TEXT_CLUSTERING_MODEL',     mining_function     => dbms_data_mining.clustering,     data_table_name     => 'extracted_tokens_tfidf_nt',     case_id_column_name => 'id',     settings_table_name => 'km_settings'); END;To generate cluster names from this model, check out my earlier post on that topic.

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• HTML: How to create a DIV with only vertical scroll-bar to show long paragraphs on a webpage?

  - by Awan

  I want to show terms and condition note on my website. I dont want to use text field and also dont want to use my whole page. I just want to display my text in selected area and want to use only vertical scroll-bar to go down and read all text. Currently I am using this code: <div style="width:10;height:10;overflow:scroll" > text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text </div> It is not fixing the width and height and spread until the all text appears. Second it is showing horizontal scroll-bar and I don't want to show it. Any Idea ? Thanks

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• The Best Text to Speech (TTS) Software Programs and Online Tools

  - by Lori Kaufman

  Text to Speech (TTS) software allows you to have text read aloud to you. This is useful for struggling readers and for writers, when editing and revising their work. You can also convert eBooks to audiobooks so you can listen to them on long drives. We’ve posted some websites here where you can find some good TTS software programs and online tools that are free or at least have free versions available. 8 Deadly Commands You Should Never Run on Linux 14 Special Google Searches That Show Instant Answers How To Create a Customized Windows 7 Installation Disc With Integrated Updates

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• The Best Tools for Enhancing and Expanding the Features of the Windows Clipboard

  - by Lori Kaufman

  The Windows clipboard is like a scratch pad used by the operating system and all running applications. When you copy or cut some text or a graphic, it is temporarily stored in the clipboard and then retrieved later when you paste the data. We’ve previously showed you how to store multiple items to the clipboard (using Clipboard Manager) in Windows, how to copy a file path to the clipboard, how to create a shortcut to clear the clipboard, and how to copy a list of files to the clipboard. There are some limitations of the Windows clipboard. Only one item can be stored at a time. Each time you copy something, the current item in the clipboard is replaced. The data on the clipboard also cannot be viewed without pasting it into an application. In addition, the data on the clipboard is cleared when you log out of your Windows session. NOTE: The above image shows the clipboard viewer from Windows XP (clipbrd.exe), which is not available in Windows 7 or Vista. However, you can download the file from deviantART and run it to view the current entry in the clipboard in Windows 7. Here are some additional useful tools that help enhance or expand the features of the Windows clipboard and make it more useful. Can Dust Actually Damage My Computer? What To Do If You Get a Virus on Your Computer Why Enabling “Do Not Track” Doesn’t Stop You From Being Tracked

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• Parsing scripts that use curly braces

  - by Keikoku

  To get an idea of what I'm doing, I am writing a python parser that will parse directx .x text files. The problem I have deals with how the files are formatted. Although I'm writing it in python, I'm looking for general algorithms for dealing with this sort of parsing. .x files define data using templates. The format of a template is template_name { [some_data] } The goal I have is to parse the file line-by-line and whenever I come across a template, I will deal with it accordingly. My initial approach was to check if a line contains an opening or closing brace. If it's an open brace, then I will check what the template name is. Now the catch here is that the open brace doesn't have to occur on the same line as the template name. It could just as well be template_name { [some_data] } So if I were to use my "open brace exists" criteria, it won't work for any files that use the latter format. A lot of languages also use curly braces (though I'm not sure when people would be parsing the scripts themselves), so I was wondering if anyone knows how to accurately get the template name (or in some other languages, it could just as well be a function name, though there aren't any keywords to look for)

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• Parsing tab delimited file with double quotes in Perl

  - by sfactor

  I have a data set that is tab delimited with the user-agent strings in double quotes. I need to parse each of these columns and based on the answer of my other post I used the Text::CSV module. 94410634 0 GET "Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; GTB6.6; .NET CLR 2.0.50727; .NET CLR 3.0.04506.648; .NET CLR 3.5.21022; .NET CLR 3.0.4506.2152; .NET CLR 3.5.30729; AskTB5.5)" 1 The code is a simple one. #!/usr/bin/perl use strict; use warnings; use Text::CSV; my $csv = Text::CSV->new(sep_char => "\t"); while (<>) { if ($csv->parse($_)) { my @columns = $csv->fields(); print "@columns\n"; } else { my $err = $csv->error_input; print "Failed to parse line: $err"; } } But i get the Failed to parse line: error when I try it on this dataset. what am I doing wrong? I need to extract the 4th column containing the user-agent strings for further processing.

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• Parsing a XML File and Replacing Chosen Node With Values From Text File

  - by transmogrify

  I wrote a C# Winforms program to take a XML file and load values from a text file into each occurrence of that field which the user specifies on the UI. For whatever reason, the program inserts a carriage return on any nodes which don't contain a value. For example, it will do that to <example></example> whereas it will not misbehave on something like <country>USA</country> What is causing it to do this and how can I prevent it? Here is the code from the part which handles this functionality. XmlDocument LoadXmlDoc = new XmlDocument(); StreamReader sr = File.OpenText(DataLoadTxtBx.Text); string InputFromTxtFile; LoadXmlDoc.Load(XmlPath.Text); XmlNodeList NodeToCreateOrReplace = LoadXmlDoc.GetElementsByTagName(XmlTagNameTxtBx.Text); foreach (XmlNode SelectedNode in NodeToCreateOrReplace) { if ((InputFromTxtFile = sr.ReadLine()) != null) { SelectedNode.InnerText = InputFromTxtFile; } } sr.Close(); LoadXmlDoc.Save(XmlPath.Text);

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• Parsing a string, Grammar file.

  - by defn

  How would I separate the below string into its parts. What I need to separate is each < Word including the angle brackets from the rest of the string. So in the below case I would end up with several strings 1. "I have to break up with you because " 2. "< reason " (without the spaces) 3. " . But Let's still " 4. "< disclaimer " 5. " ." I have to break up with you because <reason> . But let's still <disclaimer> . below is what I currently have (its ugly...) boolean complete = false; int begin = 0; int end = 0; while (complete == false) { if (s.charAt(end) == '<'){ stack.add(new Terminal(s.substring(begin, end))); begin = end; } else if (s.charAt(end) == '>') { stack.add(new NonTerminal(s.substring(begin, end))); begin = end; end++; } else if (end == s.length()){ if (isTerminal(getSubstring(s, begin, end))){ stack.add(new Terminal(s.substring(begin, end))); } else { stack.add(new NonTerminal(s.substring(begin, end))); } complete = true; } end++;

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• Perl: parsing string enclosed by double quotes

  - by sfactor

  I need to parse tab/space delimited files that have a lot of columns in Perl. The values are such that the there are large strings enclosed within double quotes. These strings can have any characters such as tabs and spaces or anything else. When I try to parse them with the split function it splits these strings as well. Now how can I make perl understand that the strings within the " " are a single column entry? A simple example is, 12 345546.67677 "Hello World!!!" -567.55656 0.5465767 "Hello_Again; "

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• Perl, efficient parsing of csv file

  - by Mike

  I'm working on a project that involves parsing a large csv formatted file in Perl and am looking to make things more efficient. My approach has been to split() the file by lines first, and then split() each line again by commas to get the fields. But this suboptimal since at least two passes on the data are required. (once to split by lines, then once again for each line). This is a very large file, so cutting processing in half would be a significant improvement to the entire application. My question is, what is the most time efficient means of parsing a large CSV file using only built in tools? note: Each line has a varying number of tokens, so we can't just ignore lines and split by commas only. Also we can assume fields will contain only alphanumeric ascii data (no special characters or other tricks). Also, i don't want to get into parallel processing, although that might work effectively.

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• Parsing mathematical experssions with two values that have parenthesis and minus signs

  - by user45921

  I'm trying to parse equations like these which only has two values or the square root of a certain value from a text file: 100+100 -100-100 -(100)+(-100) sqrt(100) by the minues signs, parenthesis and the operator symbol in the middle and the square root, and I have no idea how to start off... I've got the file part done and the simple calculation parts except that I couldnt get my program to solve the equations in the above. #include <stdio.h> #include <string.h> #include <stdlib.h> #include <math.h> main(){ FILE *fp; char buff[255], sym,sym2,del1,del2,del3,del4; double num1, num2; int ret; fp = fopen("input.txt","r"); while(fgets(buff,sizeof(buff),fp)!=NULL){ char *tok = buff; sscanf(tok,"%lf%c%lf",&num1,&sym,&num2); switch(sym){ case '+': printf("%lf\n", num1+num2); break; case '-': printf("%lf\n", num1-num2); break; case '*': printf("%lf\n", num1*num2); break; case '/': printf("%lf\n", num1/num2); break; default: printf("The input value is not correct\n"); break; } } fclose(fp); } that is what have I written for the other basic operations without parenthesis and the minus sign for the second value and it works great for the simple ones. I'm using a switch method to calculate the add, sub, mul and divide but I'm not sure how to properly use the sscanf function (if I am not using it properly) or if there is another way using a function like strtok to properly parse the parenthesis and the minus signs. Any kind help?

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• SQL Full-Text indexing not populating

  - by Sam

  Hi, We installed a clustered SQL 2005 installation on windows 2008 and reattached our san drives from another machine and restored to do a migration to new hardware. There have been a few minor issues, but this one has me stuck. Trying to populate Full-Text indexes is not working. I create a basic table with some simple text in a new database and get the same results as old indexes. 2010-09-27 10:30:46.85 spid19s Informational: Full-text Full population initialized for table or indexed view '[SQL_DBA].[dbo].[CIS_Report_Executions]' (table or indexed view ID '1767677345', database ID '5'). Population sub-tasks: 1. 2010-09-27 10:31:15.36 spid19s Error '0x80070003' occurred during full-text index population for table or indexed view '[SQL_DBA].[dbo].[CIS_Report_Executions]' (table or indexed view ID '1767677345', database ID '5'), full-text key value 0x000001DF. Attempt will be made to reindex it. 2010-09-27 10:31:15.37 spid19s The component 'MSFTE.DLL' reported error while indexing. Component path 'D:\Program Files\Microsoft SQL Server\MSSQL.1\MSSQL\Binn\MSFTE.DLL'. 2010-09-27 10:31:15.37 spid19s Error '0x80070003' occurred during full-text index population for table or indexed view '[SQL_DBA].[dbo].[CIS_Report_Executions]' (table or indexed view ID '1767677345', database ID '5'), full-text key value 0x000001E0. Attempt will be made to reindex it. The rebuild/repopulate procedure finishes, but I get zero rows in the index. The .dll in the message is present and the service accounts have access to this. My FTData also has data in it, so it seems there wouldn't be permission issue on this folder. Application throws this error: “PHP Warning: mssql_query() [function.mssql-query]: message: Full-text catalog 'ikm_PageIndex_FText' is in an unusable state. Drop and re-create this full-text catalog. (severity 16) in E:\Inetpub\knowledgebase_insidemesa\lib\database\mssql.php on line 154” A microsoft discussion is the only post I found which had claimed to fix this - said it was registry related, but then didn't post the fix.

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• SQL Full-Text indexing not populating

  - by Sam

  We installed a clustered SQL 2005 installation on windows 2008 and reattached our san drives from another machine and restored to do a migration to new hardware. There have been a few minor issues, but this one has me stuck. Trying to populate Full-Text indexes is not working. I create a basic table with some simple text in a new database and get the same results as old indexes. 2010-09-27 10:30:46.85 spid19s Informational: Full-text Full population initialized for table or indexed view '[SQL_DBA].[dbo].[CIS_Report_Executions]' (table or indexed view ID '1767677345', database ID '5'). Population sub-tasks: 1. 2010-09-27 10:31:15.36 spid19s Error '0x80070003' occurred during full-text index population for table or indexed view '[SQL_DBA].[dbo].[CIS_Report_Executions]' (table or indexed view ID '1767677345', database ID '5'), full-text key value 0x000001DF. Attempt will be made to reindex it. 2010-09-27 10:31:15.37 spid19s The component 'MSFTE.DLL' reported error while indexing. Component path 'D:\Program Files\Microsoft SQL Server\MSSQL.1\MSSQL\Binn\MSFTE.DLL'. 2010-09-27 10:31:15.37 spid19s Error '0x80070003' occurred during full-text index population for table or indexed view '[SQL_DBA].[dbo].[CIS_Report_Executions]' (table or indexed view ID '1767677345', database ID '5'), full-text key value 0x000001E0. Attempt will be made to reindex it. The rebuild/repopulate procedure finishes, but I get zero rows in the index. The .dll in the message is present and the service accounts have access to this. My FTData also has data in it, so it seems there wouldn't be permission issue on this folder. Application throws this error: “PHP Warning: mssql_query() [function.mssql-query]: message: Full-text catalog 'ikm_PageIndex_FText' is in an unusable state. Drop and re-create this full-text catalog. (severity 16) in E:\Inetpub\knowledgebase_insidemesa\lib\database\mssql.php on line 154” A microsoft discussion is the only post I found which had claimed to fix this - said it was registry related, but then didn't post the fix.

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• Parsing a text file with a fixed format in Java

  - by EugeneP

  Suppose I know a text file format, say, each line contains 4 fields like this: firstword secondword thirdword fourthword firstword2 secondword2 thirdword2 fourthword2 ... and I need to read it fully into memory I can use this approach: open a text file while not EOF read line by line split each line by a space create a new object with four fields extracted from each line add this object to a Set Ok, but is there anything better, a special 3-rd party Java library? So that we could define the structure of each text line beforehand and parse the file with some function thirdpartylib.setInputTextFileFormat("format.xml"); thirdpartylib.parse(Set, "pathToFile") ?

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• How to create a text file from column and FTP that text file to server

  - by addi

  I have workbook with 2 sheets (Sheet1 and sheet2). On sheet1 user will enter the data which will be populated in the column B and then column C will hold the values from Col A and B on sheet2. I need to create a text file from the values in coloumn C on a click of a button and then upload(FTP) that file to a server. So the sheet1 will have 2 buttons. Button1 will save the excel file and create the text file in windows temp directory. e.g text.xls text.prop (text file whoch has all the values in column C on sheet2) Button2 will upload (FTP) the text file (.prop) to a server. Can anyone please send me the steps and VB code to achieve the above tasks? Thanks in Advance Addi

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