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tests
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/
tests
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[Tests]
[transient]
design = "ElementOptimizationSourceFunctionInnerProduct.md VectorNearestPointFunction.md VectorPointSource.md"
issues = '#42'
requirement = "The system shall be able to perform force-inversion optimization with time-dependent parameters and outputs with"
[objective]
type = JSONDiff
input = main.i
cli_args = "-tao_gatol 90 Outputs/out/execute_system_information_on=none
OptimizationReporter/initial_condition='0.017248124297389537 -0.4383269038787613 -1.0120688493193575 -0.604005388481836 -1.4561640635027022 3.231744273062789 0.30497109596745786 0.44633697183648136 0.01016924485170484 2.102321678477381 -0.6633902660583816 0.8744951418636224 -1.6563188219465808 -0.7960335532123246 -0.8868197436891168 3.4789948727882036 1.221786635733348 -1.3649297188353513 0.6718141978617336 1.073784058368632 -0.20990475499085504 -0.23140796936323005 2.719922596118634 0.49032306047413676 0.5754881340320752 -1.4387408219638242 0.5868285452264156 -0.26563061173982583 0.7632228812045031 0.5847693390767825 1.2297597229219401 0.018872725738175458 1.3701093737026238 0.5124595468128872 0.388110595828123 0.11247112873355217 0.9234434408370418 0.3748330890983532 -0.1772288909293001 -0.9744206675334496 -0.3917172574619362 -0.2538603477404897 0.5517774216239373 0.07213835476751881'"
jsondiff = main_out.json
skip_keys = adjoint
rel_err = 1e-4
heavy = true
method = OPT
detail = 'only forward solve;'
[]
[gradient]
type = JSONDiff
input = main_gradient.i
cli_args = 'Outputs/out/execute_system_information_on=none'
jsondiff = main_gradient_out.json
rel_err = 1e-4
heavy = true
method = OPT
detail = 'adjoint solve;'
[]
[]
[]