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H9ërêH‹\$H‹l$L‹d$L‹l$ L‹t$(L‹|$0HƒÄ8ÃHƒìHƒÄÃUnable to allocate dynamic memory.
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 get input data from file: %s.
Unable to set dimension scales
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 <infile> [ [-t[ype] <output-type> | -n] [<infile> [-t[ype] <output-type> | -n]...]
					-o[utfile] <outfile> [-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. <output-type>
		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] <horiz> <vert> [<depth>]:
	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] <horiz> <vert> [<depth>]:
		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 <infile> [ [-t[ype] <output-type> | -n] [<infile> [-t[ype] <output-type> | -n ]]...]
					-o[utfile] <outfile> [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 15, November 28, 2019Unable 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 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
%d%e%le%hd%s, dim index %d
Name:	%s (previously fp2hdf)

Purpose:Data Set (SDS)storing the resultsabout a mean value.
Synopsis:
	%s -h[elp]
		
	%s -V

	<infile(s)>:
		how it must be organized.

	-t[ype] <output_type>: 

	-n:  

	-o[utfile] <outfile>:
		"outfile".

	-r[aster]:

	-f[loat]:

	ras_opts ...
	planes (for 3D input data).
		original dataset.

	-p[alfile] <palfile>:

	-m[ean] <mean>:
		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] <output_type>
	-n

	options...

	-r[aster]:
followed by:
		-e[xpand] <horiz> <vert> [<depth>]:
			 resolution with pixel replication
		-i[nterp] <horiz> <vert> 		-p[alfile] <palfile>:
		-m[ean] <meanval>:
			mean value to scale image around