netcdf-c/dap4_test/baselinehyrax/amsre_20060131v5.dat.hyrax

netcdf amsre_20060131v5 {
dimensions:
	_AnonymousDim3 = 3 ;
	_AnonymousDim6 = 6 ;
variables:
	byte time_a(_AnonymousDim3, _AnonymousDim6) ;
		string time_a:Equator_Crossing_Time = "1:30 PM" ;
data:

 time_a =
  -1, -1, -1, -1, -1, -1,
  -1, -1, -1, -1, -1, -1,
  -1, -1, -1, -1, -1, -1 ;
}
Additional DAP4 fixes This change-set modifies PR https://github.com/Unidata/netcdf-c/pull/2555 to add the changes listed below. Most of these changes are required by changes to the Java remotetest.unidata.ucar.edu server. ## DAP4 Related Changes * Add tests dap4_test/test_constraints.sh and dap4_test/test_hyrax.sh. * Provide explicit list of remotetest files to test. * Cleanup local checksum computing and verification. * Define a temporary Hyrax hack flag to deal with the way Hyrax handles checksums and add "#hyrax" fragment flag for it. * Add a hack to get past an LGTM problem with using "http:". * Improve debug support. ## Other Changes * Cleanup the recipe in docs/nczarr.md for building aws-sdk-cpp library. 2023-01-19 10:47:29 +08:00			`netcdf amsre_20060131v5 {`
			`dimensions:`
Modify PR https://github.com/Unidata/netcdf-c/pull/2655 to ensure transient types have names. re: PR https://github.com/Unidata/netcdf-c/pull/2655 This PR modifies the transient types PR so that all created transient types are given a created unique name (within a group). The form of the name is "_Anonymous<Class>NN". The class is the user-defined type class: Enum, Compound, Opaque, or Vlen. NN is an integer identifier to ensure uniqueness. Additionally, this was applied to DAP/4 anonymous dimensions. This also required some test baseline data changes. The transient test case is modified to verify that the name exists. 2023-07-23 10:40:53 +08:00			`_AnonymousDim3 = 3 ;`
			`_AnonymousDim6 = 6 ;`
Additional DAP4 fixes This change-set modifies PR https://github.com/Unidata/netcdf-c/pull/2555 to add the changes listed below. Most of these changes are required by changes to the Java remotetest.unidata.ucar.edu server. ## DAP4 Related Changes * Add tests dap4_test/test_constraints.sh and dap4_test/test_hyrax.sh. * Provide explicit list of remotetest files to test. * Cleanup local checksum computing and verification. * Define a temporary Hyrax hack flag to deal with the way Hyrax handles checksums and add "#hyrax" fragment flag for it. * Add a hack to get past an LGTM problem with using "http:". * Improve debug support. ## Other Changes * Cleanup the recipe in docs/nczarr.md for building aws-sdk-cpp library. 2023-01-19 10:47:29 +08:00			`variables:`
Modify PR https://github.com/Unidata/netcdf-c/pull/2655 to ensure transient types have names. re: PR https://github.com/Unidata/netcdf-c/pull/2655 This PR modifies the transient types PR so that all created transient types are given a created unique name (within a group). The form of the name is "_Anonymous<Class>NN". The class is the user-defined type class: Enum, Compound, Opaque, or Vlen. NN is an integer identifier to ensure uniqueness. Additionally, this was applied to DAP/4 anonymous dimensions. This also required some test baseline data changes. The transient test case is modified to verify that the name exists. 2023-07-23 10:40:53 +08:00			`byte time_a(_AnonymousDim3, _AnonymousDim6) ;`
Additional DAP4 fixes This change-set modifies PR https://github.com/Unidata/netcdf-c/pull/2555 to add the changes listed below. Most of these changes are required by changes to the Java remotetest.unidata.ucar.edu server. ## DAP4 Related Changes * Add tests dap4_test/test_constraints.sh and dap4_test/test_hyrax.sh. * Provide explicit list of remotetest files to test. * Cleanup local checksum computing and verification. * Define a temporary Hyrax hack flag to deal with the way Hyrax handles checksums and add "#hyrax" fragment flag for it. * Add a hack to get past an LGTM problem with using "http:". * Improve debug support. ## Other Changes * Cleanup the recipe in docs/nczarr.md for building aws-sdk-cpp library. 2023-01-19 10:47:29 +08:00			`string time_a:Equator_Crossing_Time = "1:30 PM" ;`
			`data:`

			`time_a =`
			`-1, -1, -1, -1, -1, -1,`
			`-1, -1, -1, -1, -1, -1,`
			`-1, -1, -1, -1, -1, -1 ;`
			`}`