mirror of
https://github.com/HDFGroup/hdf5.git
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079df9d216
* Fixes a stack overflow in the h5dump test generator The opaque type size was declared to be the size of the "buffer of two opaque elements", causing a memcpy call in H5Dwrite to read outside the buffer, dumping garbage into the file. Note that this only affected the test generator and not h5dump itself. * Committing clang-format changes Co-authored-by: github-actions <41898282+github-actions[bot]@users.noreply.github.com>
32 lines
1.8 KiB
XML
32 lines
1.8 KiB
XML
<?xml version="1.0" encoding="UTF-8"?>
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<hdf5:HDF5-File xmlns:hdf5="http://hdfgroup.org/HDF5/XML/schema/HDF5-File.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://hdfgroup.org/HDF5/XML/schema/HDF5-File http://www.hdfgroup.org/HDF5/XML/schema/HDF5-File.xsd">
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<hdf5:RootGroup OBJ-XID="xid_96" H5Path="/">
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<hdf5:Dataset Name="opaque test" OBJ-XID="xid_800" H5Path= "/opaque test" Parents="xid_96" H5ParentPaths="/">
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<hdf5:StorageLayout>
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<hdf5:ContiguousLayout/>
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</hdf5:StorageLayout>
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<hdf5:FillValueInfo FillTime="FillIfSet" AllocationTime="Late">
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<hdf5:FillValue>
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<hdf5:NoFill/>
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</hdf5:FillValue>
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</hdf5:FillValueInfo>
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<hdf5:Dataspace>
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<hdf5:SimpleDataspace Ndims="1">
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<hdf5:Dimension DimSize="2" MaxDimSize="2"/>
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</hdf5:SimpleDataspace>
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</hdf5:Dataspace>
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<hdf5:DataType>
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<hdf5:AtomicType>
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<hdf5:OpaqueType Tag="test opaque type" Size="100"/>
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</hdf5:AtomicType>
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</hdf5:DataType>
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<hdf5:Data>
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<hdf5:DataFromFile>
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00:63:01:62:02:61:03:60:04:5f:05:5e:06:5d:07:5c:08:5b:09:5a:0a:59:0b:58:0c:57:0d:56:0e:55:0f:54:10:53:11:52:12:51:13:50:14:4f:15:4e:16:4d:17:4c:18:4b:19:4a:1a:49:1b:48:1c:47:1d:46:1e:45:1f:44:20:43:21:42:22:41:23:40:24:3f:25:3e:26:3d:27:3c:28:3b:29:3a:2a:39:2b:38:2c:37:2d:36:2e:35:2f:34:30:33:31:32
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32:31:33:30:34:2f:35:2e:36:2d:37:2c:38:2b:39:2a:3a:29:3b:28:3c:27:3d:26:3e:25:3f:24:40:23:41:22:42:21:43:20:44:1f:45:1e:46:1d:47:1c:48:1b:49:1a:4a:19:4b:18:4c:17:4d:16:4e:15:4f:14:50:13:51:12:52:11:53:10:54:0f:55:0e:56:0d:57:0c:58:0b:59:0a:5a:09:5b:08:5c:07:5d:06:5e:05:5f:04:60:03:61:02:62:01:63:00
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</hdf5:DataFromFile>
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</hdf5:Data>
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</hdf5:Dataset>
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</hdf5:RootGroup>
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</hdf5:HDF5-File>
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