Purpose
Read in
or write an array or set of strings to a file.
Synopsis
procedure diskdata(format:integer, file:string, a:array)
procedure diskdata(format:integer, file:string, s:set)
procedure diskdata(format:integer, file:string, l:list)
Arguments
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format
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Format options:
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ETC_DENSE
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ETC_SPARSE
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ETC_SGLQ
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strings quoted with single quotes
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ETC_NOQ
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strings are not quoted in the file
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ETC_OUT
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ETC_APPEND
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append output to the end of an existing file
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ETC_TRANS
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ETC_IN
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ETC_NOZEROS
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skip zero values when processing several arrays at the same time
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ETC_CSV
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use CSV format. When reading all entities are returned as textual strings
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ETC_TYPEDCSV
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use CSV format. When reading the parser tries to identify integers, reals or booleans from unquoted strings
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ETC_SKIPH
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skip first line (header) of the file
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ETC_AUTONDX
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similar to sparse format but indices are not read or written (only applies to 1-dimension arrays indiced by ranges)
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ETC_EMPTYNDX
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missing indices are replaced by a default value
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ETC_DATAFRAME
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dense data format for a 2-dimension array and first index as a range (for the line numbers)
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Several options may be combined using `
+'.
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file
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Extended file name
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a
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Array to export or initialize
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s
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Set to export or initialize
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l
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List to export or initialize
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Example
The following example declares two sets and two dynamic arrays. The array
ar1 is read in from the file
in.dat. Then both arrays,
ar1 and
ar2, are saved to the file
out.dat (in sparse format) and finally the contents of the set
Set1 is appended to the file
out.dat.
declarations
Set1: set of string
R: range
ar1,ar2: array(Set1,R) of real
end-declarations
diskdata(ETC_SPARSE, "in.dat", ar1)
diskdata(ETC_OUT, "out.dat", [ar1, ar2])
diskdata(ETC_OUT+ETC_APPEND, "out.dat", Set1)
Further information
1. This procedure reads in data from a file or writes to a file, depending on the parameter settings. The file format used is compatible with the command DISKDATA of the modeler mp-model (unless the option
ETC_CSV is specified).
2. Only arrays lists and sets of basic and native types (including
mpvar and
linctr for writing) can be used with this procedure, in particular records are not supported.
3. If option
"dataframe" is combined with
"skiph" the array to be processed must be indiced by a range and a set of strings. The second index is automatically populated with the column names of the header row when reading (the same line is generated when writing).
4. Options
ETC_SGLQ,
ETC_NOQ,
ETC_CSV and
ETC_TYPEDCSV are mutually exclusive and connot be combined.
5. In case of error the procedure raises an IO error.
Module
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