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N  4 GP @ ; libmfhdf.so.0Hopen_ITM_deregisterTMCloneTableHcloseHishdf__gmon_start___ITM_registerTMCloneTableSDsetrangeSDgetnamelenSDgetinfoSDgetdimidSDwritedataSDendaccessSDcreateSDreaddataSDstartSDendSDgetrangeSDgetdimscaleSDsetdimscaleSDselectlibdf.so.0DFPgetpalDFR8addimageDFR8setpalettelibjpeg.so.62libz.so.1libtirpc.so.3libc.so.6__printf_chkexitfopenstrncmpputs__stack_chk_failstrtodstrtolstrlen__fprintf_chkstdout__isoc99_fscanffclosemallocstderrfwritefread__strcpy_chk__cxa_finalizesetvbufstrcmp__libc_start_mainfree_edata__bss_start_endGLIBC_2.7GLIBC_2.4GLIBC_2.2.5GLIBC_2.3.4/builddir/build/BUILD/hdf-4.2.14/build-shared/mfhdf/libsrc/.libs:/builddir/build/BUILD/hdf-4.2.14/build-shared/hdf/src/.libsVii Lii Vui `ti l P pP( ( د  " ' ( ) -@ 0      Ȯ Ю خ          ( 0 8 @ H P X ` h p x     ! # $ % & *ȯ +Я ,HH HtH5" %# hhhhhhhhqhah Qh Ah 1h !h hhhhhhhhhhqhahQhAh1h!hhhh h!h"h#h$h%h&h'q% D% D% D% D%} D%u D%m D%e D%] D%U D%M D%E D%= D%5 D%- D%% D% D% D% D% D% D% D% D% D%ݚ D%՚ D%͚ D%Ś D% D% D% D% D% D% D% D% D%} D%u D%m D%e DAWAVAUATUSHH $HH $H E11A2A6|$1I1dH%(H$)1f$H=^ f$1DŽ$FP32DŽ$FP64DŽ$INT3fD$ DŽ$"INT1fD$&DŽ$(INT8fD$,H=֙ 11H1HDŽ$"AH$p"H$0HD$H$@"HDŽ$"HDŽ$`"DŽ$h"D$$HD$(@IcH=HM,.M}LA?-u=IwHHt$,AwN~H=Ht$Hc H>fLx9hH[HHHHcPH HcH>Ml.AE1H$ fAHLAW@ƅH@uم*$`"HHiD0fDAD9d$|$$$h"H$0$p"HD$`>HD$`1ҾHH=RH$k(DŽ$HD$`HD$($;$`"-DŽ$H\$(HDŽ$0HHDŽ$8$t'HDŽ$0#2H|$(DŽ$0H$ !Ht$($0HHH$%$4Ht$PH$0H$THHD$Xp:1$T$4HHt$P$HHD$XHP 4:HT$X$4HHt$PH:%1ۃ$Lc$PUHtHL$0!HHt$(HE1$$|$U$0$$$HHcH>L6}D$`"HHiDŽ0 I}1fZ$"DŽ$"I>J1KDŽ$d"IuH|$( DŽ$p"DŽ$t"I} 13$"gI} 1$"KI} 1$"/DŽ$t"DŽ$h"HD$Iu HD$$Hc$`"IuHiH|$Hc$`"HHi$`"DŽ0 HH=HN HH=|HNHH=$HNYo eHH=HNl$:HH=HNAHH=ԁHNHH=HNHH=bHNu|H { H=YeI>YH V H=@H$)dH3%(M1Hĸ)[]A\A]A^A_fH= L1HI>;Y댋L$H=ޑ Hu1{I>YaIH uH5IS1DŽ$d"dH= Hپ1Hw $LxHcHH$H,&$PxHcHH$H+$H&H$0H$H\$XQHc$!HiH8HHHHH$`8$HN$L$P$T$D$H Hc|$HcH>$LxHcHH$H$$PxHcH{H$H/*$H$TxHcHFH$HH ޏ 'H=vf$LxHcH$H=#$PxHcH$Hp)$H_$TxHcH$H$q8$d$Ht$X$8<$!$0HD$(H V H=r@$7$$Ht$X$8Y$|7$o$Ht$X$7 B$.7$!$Ht$X$7$6$$Ht$X$17oH$0$4Ht$PHLcHS4M%Ht$PHS8MH$4%$dE1/$hAD$$H$%HH1DJ$Hp$THDŽ$DŽ$ $$P$$L$L$1҉H$H$}H= Hپ1H1hrHHH$%HH%HEH H=Eep$9>$t"0H G ,H=g1H=* 1H oHgH= 1H oHg$P1H= HWo~$P$$"$9j$t"\H  ,H='gzH=s 1H nH6g H=R 1H nHEg$L1H=# Hn$L$$"$$1H$hH$dlj $dE1/$hAƉCH ~ H=mI>EHD$pLd$H1E1ҋ$L\$f$H\T$0D$hDNL$DxAE9f(ʋ7A*^fA*YXL$0A9~CAHcA)A@/v'A4HJ7A9~/Ӊ‰ADw/wً7HcwHHAD(A\DD\A(^C IO$L\$Ld$H'${LcT$D|$h1Hu L$qE1L$A9HT$pD$1HIHPH$ LH$0HH$(H$8A9IcTHHHHH9uH$0EH$8H$(((\(H$ \AYAY\\(\A Y(\]((_(\YX, HLEIcIIHH$"$Tf $D$t$H$xH#t$HIL$$LHt$H$p;D$A}Ht$H$PDHt$H$xHD$_H$L\$$HDŽ$HD$0t$Lc$Lt$L\$A~JL\$t$HIHD$0D$HD$Hc$$hP$D$@DEHHD$pIIHHD$GHpHt$xHcHt$L$9L$@Ht$0HL$4t$89:A3HE1ɍV1A9A9~`1$D\YXnnD,EDHA9Hl$1McGDDH9IcHIHHщI1L+T$ EDH9L\$HHl$hHD$HˋT$8DŽ$4jDŽ$ZL$0$4Ht$PHI$% $4Ht$PI$Hi$f.$DGH=x Hپ1H>_H=x 1H$%H_rH\HOH=x Hپ1H]?-H$0$4Ht$PHHSX $4Ht$PHS\H$9$DOt$$JH="x L1Hi_H5GeHHH L$"HL_H= H=w H1H+\VDH$0$4Ht$PHHSx! 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H=*ߤKH ? H=g¤JH ? H=襤H ? H=*舤JH |? H=k H _? H=*NLH B? H=1BH %? H= H ? H=W*H > H=H*ڣ H > H=C*轣H > H=4*蠣H > H=胣H w> H=*fH Z> H=*I!H => H=y,H > H=)#H > H=gH = H=)բ3H = H=U踢2H = H=p蛢H = H=)~JH r= H=naCH U= H=DGH 8= H='EH = H= IH < H="@H < H=UСOH < H=賡CH < H=薡MH < H=yMH m< H=\IH P< H=?(H 3< H=/"H=A(趠H5G1賞H=-(藠H=6(苠Hڿ1H5>(腞H5>1rH=3(VH=OJHڿ1H5*(DH5U11H="(H5f1H=(Hڿ1H5(H5i1ݝH=(H5z1辝H=(袟H=(薟Hڿ1H5}萝H51}H='aH51^H='BH51?H='#HH5[1ff.dG4.\(\W8TT_(X\W4O8Ðf.ATUSHwSH )IHHcH>H@H{H{8u I|$ɝH[]A\鹝fH褝H蘝{uH膝@HtHh{uHV@HDH8{RH"ADH`H{h{3H{p%fDH{Pߜf.SHHH=8 H%1;Hپ1H=z8 H%Hپ1H=]8 H-H E8 H=4&H (8 H= H 8 H=%<H 7 H=ݜ<H 7 H=<H 7 H= 補;H 7 H= 膜5H z7 H= iH ]7 H=$L;H @7 H= /6H #7 H= :H 7 H= :H 6 H=- ؛*H 6 H=P 軛H 6 H=L$螛 H 6 H=>$聛H u6 H=d H X6 H=$GH ;6 H=$* H 6 H=$ H 6 H=# H 5 H=#ӚH 5 H=#趚 H 5 H=#虚!H 5 H=9|H p5 H=#_ H S5 H='BH 65 H=#%H 5 H=|#H 4 H=}# H 4 H=h#Ι[H 4 H=鰙AWIAVIAUAATL%l0 UH-l0 SL)HHt1LLDAHH9uH[]A\A]A^A_Ðf.HHUnable to allocate dynamic memory. Unable to set dimension scales Unable to get 'int' value from file: %s. Unable to get 'float' value from file: %s. Unable to get 'int32' value from file: %s. Unable to get 'int16' value from file: %s. Unable to get 'int8' value from file: %s. Unable to get axis scale from file: %s. Unable to write an SDS to the HDF output file To convert floating point data to HDF Scientific and/or 8-bit Raster Image Set (RIS8) format, in an HDF file. The image data can be scaled Print this summary of usage and exit. Print version of the HDF4 library and exit. %s [ [-t[ype] | -n] [ [-t[ype] | -n]...] -o[utfile] [-r[aster] [ras_opts ...]] [-f[loat]] Name of the input file(s), containing a single two-dimensional or three-dimensional floating point array in either ASCII text, native floating point, native integer or HDF SDS format. If an HDF file is used for input, it must contain an SDS. The SDS need only contain a dimension record and the data, but if it also contains maximum and minimum values and/or scales for each axis, these will be used. If the input format is ASCII text or native floating point or native integer, see "Notes" below on Optionally used for every input ASCII file to specify the data type of the data-set to be written. If not specified default data type is 32-bit floating point. can be any of the following: FP32 (default), FP64, INT32 INT16, INT8. It can be used only with ASCII files. This option is to be used only if the binary input file contains 64-bit floating point data and the default behaviour (default behaviour is to write it to a 32-bit floating point data-set) should be overridden to write it to a 64-bit floating point data-set. Data from one or more input files are stored as one or more data sets and/or images in one HDF output file, Store output as a raster image set in the output file. Store output as a scientific data set in the output file. This is the default if the "-r" option is not specified. -e[xpand] []: Expand float data via pixel replication to produce the image(s). "horiz" and "vert" give the horizontal and vertical resolution of the image(s) to be produced; and optionally, "depth" gives the number of images or depth -i[nterp] []: Apply bilinear, or trilinear, interpolation to the float data to produce the image(s). "horiz", "vert", and "depth" must be greater than or equal to the dimensions of the If max and min are supplied in input file, this option clips values that are greater than max or less then min, setting them to the max and min, respectively. Store the palette with the image. Get the palette from "palfile"; which may be an HDF file containing a palette, or a file containing a raw palette. If a floating point mean value is given, the image will be scaled about the mean. The new extremes (newmax and newmin), newmax = mean + max(abs(max-mean), abs(mean-min)) newmin = mean - max(abs(max-mean), abs(mean-min)) will be equidistant from the mean value. If no mean value is given, then the mean will be: 0.5 (max + min) If the input file format is ASCII text or native floating point or native integer(32-bit, must have the following input fields: Format designator ("TEXT", "FP32", "FP64", "IN32", "IN16", "IN08"). Dimensions are specified in the order slowest changing dimension first. ncols is dimension of the fastest changing dimension. (horizontal axis nrows corresponds to dimension of the vertical axis or Y-axis in a 3D nplanes corresponds to the slowest changing dimension i.e. dimension of the depth axis or the Z-axis in a 3D scale ("1" for 2D input). plane1, plane2, plane3, ...: Scales for the vertical axis. Scales for the horizontal axis. The data ordered by rows, left to right and top to bottom; then optionally, ordered by planes, For FP32 and FP64 input format, "format", "nplanes", "nrows", "ncols", and "nplanes" are native integers; where "format" is the integer representation of the appropriate 4-character string (0x46503332 for "FP32" and 0x46503634 for "FP64"). The remaining input fields are composed of native 32-bit floating point values for FP32 input format, or native 64-bit floating point values for FP64 input format. For IN32, IN16 and IN08 input format, "format", "nplanes", "nrows", "ncols", representation of the appropriate 4-character string. The remaining input fields are composed of native 32-bit integer values for IN32 input format, or native 16-bit integer values for IN16 input format or native 8-bit integer values for IN08 input format. Convert floating point data in "f1.txt" to SDS Convert floating point data in "f2.hdf" to store it as an RIS8 in HDF file "o2": Convert floating point data in "f3.bin" to SDS format, and store both the RIS8 and the SDS Convert floating point data in "f4" to a store the RIS8 in HDF file "o4". Also store a %s f4 -o o4 -r -e 500 600 -p palfile Convert floating point data in "f5" to 200 images, and store the RIS8 in HDF file "o5". data so that it is centered about a mean value %s f5 -o o5 -r -i 500 600 200 -m 10.0 %s [ [-t[ype] | -n] [ [-t[ype] | -n ]]...] -o[utfile] [options..] Optionally used for every input ASCII file to specify the data type of the data-set to be written. If not specified produce an image. Could be resolution with interpolation include palette from palfile produce floating point data Invalid number of arguments: %d. HDF Version 4.2 Release 14, June 26, 2018Unable to get palette from file: %s. Unable to open palette file: %s. Unable to set default palette. Error creating HDF output file: %s. Error opening the created HDF output file for writing, file %s. Unable to get format tag from file: %s. Invalid use of -t or -n options. Can be used only for TEXT files or for FP64 binary files Invalid file format in file: %s. Unable to get the length of the SDS' name: index %d. Unable to get data dimensions from file: %s. Unexpected number type from file: %s. Invalid data rank of %d in file: %s. Dimension(s) is less than '2' in file: %s. Unable to get max/min values from file: %s. Unable to dynamically allocate memory. Unable to get input data from file: %s. Unable to set range to an SDS Warning: cannot make image smaller using -e option. %s resolution will be made the same as %s dimension of the dataset, Unable to write an RIS8 to the HDF output file Unable to close the HDF output file %s, dim index %d %d%e%le%hdName: %s (previously fp2hdf) Purpose:Data Set (SDS)storing the resultsabout a mean value. Synopsis: %s -h[elp] %s -V : how it must be organized. -t[ype] : -n: -o[utfile] : "outfile". -r[aster]: -f[loat]: ras_opts ... planes (for 3D input data). original dataset. -p[alfile] : -m[ean] : as given by: Notes: 16-bit, 8-bit), it format nplanes nrows cols max_value min_value [plane1 plane2 plane3 ...] row1 row2 row3 ... col1 col2 col3 ... data1 data2 data3 ... Where: format: nplanes, nrows, ncols: or X-axis in a 3D scale) scale. max_value: Maximum data value. min_value: Minimum data value. Scales for depth axis. row1, row2, row3, ...: col1, col2, col3, ...: data1, data2, data3, ...: front to back. Examples:format, and store it as an SDS in HDF file "o1": %s f1.txt -o o1 8-bit raster format, and %s f2.hdf -o o2 -r 8-bit raster format andin HDF file "o3": %s f3.bin -o o3 -r -f 500x600 raster image, andpalette from "palfile" with the image: planes of 500x600 rasterAlso scale the imageof 10.0: Usage: %s -h[elp], OR %s -V, OR -t[ype] -n options... -r[aster]: followed by: -e[xpand] []: resolution with pixel replication -i[nterp] -p[alfile] : -m[ean] : mean value to scale image around -f[loat]: %s, %s outfileIllegal argument: %s. expandinterppalfilefloathelpmeanError in state table. No output file given. Unable to open file: %s. Failed to open the SDS. Unable to close the SDS SDend failedHoriz.horiz.which is: %d. 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