87be7927dd
2. H5HFstat.c: Since H5HF_space_size() zeroed out fs_size, add "meta_size" to store free-space size before adding to "heap_size". 3. h5stat_gentest.c: increase # of groups to get "h5stat_newgrat.h5" that contains indirect block entries in fractal heap. This is for testing the recursive part of the code in H5HF_man_iblock_size(). 4. h5stat_newgrat.h5: the new .h5 file generated by h5stat_gentest.c. 5. h5stat_newgrat.ddl: expected output from new "h5stat_newgrat.h5". Tested on kagiso, smirom, linew.
74 lines
1.8 KiB
Plaintext
74 lines
1.8 KiB
Plaintext
#############################
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Expected output for 'h5stat h5stat_newgrat.h5'
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#############################
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Filename: h5stat_newgrat.h5
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File information
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# of unique groups: 35001
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# of unique datasets: 1
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# of unique named dataypes: 0
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# of unique links: 0
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# of unique other: 0
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Max. # of links to object: 1
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Max. # of objects in group: 35001
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Object header size: (total/unused)
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Groups: 5145147/3220092
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Datasets: 414/312
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Storage information:
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Groups:
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B-tree/List: 470054
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Heap: 739128
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Attributes:
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B-tree/List: 2598
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Heap: 4442
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Chunked datasets:
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B-tree: 0
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Shared Messages:
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Header: 0
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B-tree/List: 0
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Heap: 0
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Superblock extension: 0
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Small groups:
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# of groups of size 0: 35000
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Total # of small groups: 35000
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Group bins:
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# of groups of size 0: 35000
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# of groups of size 10000 - 99999: 1
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Total # of groups: 35001
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Dataset dimension information:
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Max. rank of datasets: 0
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Dataset ranks:
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# of dataset with rank 0: 1
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1-D Dataset information:
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Max. dimension size of 1-D datasets: 0
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Small 1-D datasets:
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Total small datasets: 0
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Dataset storage information:
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Total raw data size: 0
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Dataset layout information:
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Dataset layout counts[COMPACT]: 0
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Dataset layout counts[CONTIG]: 1
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Dataset layout counts[CHUNKED]: 0
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Number of external files : 0
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Dataset filters information:
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Number of datasets with:
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NO filter: 1
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GZIP filter: 0
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SHUFFLE filter: 0
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FLETCHER32 filter: 0
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SZIP filter: 0
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NBIT filter: 0
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SCALEOFFSET filter: 0
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USER-DEFINED filter: 0
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Dataset datatype information:
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# of unique datatypes used by datasets: 1
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Dataset datatype #0:
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Count (total/named) = (1/0)
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Size (desc./elmt) = (14/4)
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Total dataset datatype count: 1
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Small # of attributes:
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Total # of objects with small # of attributes: 0
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Attribute bins:
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# of objects with 100 - 999 attributes: 1
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Total # of objects with attributes: 1
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Max. # of attributes to objects: 100
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