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Rerun Test10 & Test10b for outputs comparison
For testing of #21 and #35. HDF5 output files were not committed.
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6 files changed

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6 files changed

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21104045 function calls (20491556 primitive calls) in 23.661 seconds
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Ordered by: internal time
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List reduced from 4894 to 60 due to restriction <60>
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ncalls tottime percall cumtime percall filename:lineno(function)
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5 2.806 0.561 6.918 1.384 GQUAL.py:18(gqual)
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31593/31588 1.649 0.000 2.134 0.000 ffi.py:149(__call__)
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44946 1.174 0.000 1.174 0.000 {method '_g_getattr' of 'tables.hdf5extension.AttributeSet' objects}
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5 1.049 0.210 1.714 0.343 SEDTRN.py:13(sedtrn)
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258685 0.822 0.000 2.828 0.000 typeddict.py:147(__getitem__)
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18655 0.586 0.000 0.586 0.000 {method '_g_get_objinfo' of 'tables.hdf5extension.Group' objects}
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4700 0.471 0.000 0.547 0.000 {method '_open_array' of 'tables.hdf5extension.Array' objects}
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5 0.450 0.090 0.575 0.115 HTRCH.py:39(htrch)
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23258 0.436 0.000 0.476 0.000 GQUAL.py:1149(adsdes)
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23258 0.411 0.000 0.490 0.000 GQUAL.py:1266(ddecay)
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4869 0.359 0.000 0.359 0.000 {method '_g_get_lchild_attr' of 'tables.hdf5extension.Group' objects}
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418644 0.348 0.000 0.348 0.000 GQUAL.py:1329(light_factor)
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284255 0.339 0.000 1.134 0.000 dispatcher.py:677(typeof_pyval)
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2346600/2346597 0.334 0.000 0.527 0.000 {built-in method builtins.isinstance}
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258685 0.298 0.000 0.368 0.000 typeddict.py:37(_getitem)
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219600 0.272 0.000 0.272 0.000 ADCALC.py:131(advect)
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386955 0.270 0.000 0.270 0.000 {built-in method numpy.zeros}
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5496 0.236 0.000 0.353 0.000 SEDTRN.py:518(colby)
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41217 0.218 0.000 0.218 0.000 {method 'reduce' of 'numpy.ufunc' objects}
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138990/138149 0.213 0.000 0.214 0.000 {built-in method numpy.array}
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50040 0.196 0.000 2.076 0.000 attributeset.py:295(__getattr__)
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285626 0.195 0.000 0.798 0.000 typeof.py:25(typeof)
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131760 0.185 0.000 0.279 0.000 GQUAL.py:1205(advqal)
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5 0.178 0.036 0.228 0.046 CONS.py:133(loopsub)
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285755/285626 0.156 0.000 0.486 0.000 functools.py:870(wrapper)
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208087/36893 0.152 0.000 0.227 0.000 ir.py:313(_rec_list_vars)
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2 0.147 0.073 0.903 0.451 SNOW.py:88(_snow_)
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285755 0.146 0.000 0.263 0.000 functools.py:814(dispatch)
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5 0.133 0.027 0.133 0.027 ADCALC.py:86(adcalc_)
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752409/703049 0.127 0.000 4.819 0.000 {built-in method builtins.getattr}
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276 0.116 0.000 0.116 0.000 {method '_read_records' of 'tables.tableextension.Table' objects}
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9821/4549 0.108 0.000 0.641 0.000 base.py:293(__new__)
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8992 0.105 0.000 0.108 0.000 SEDTRN.py:745(toffaleti)
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6887 0.096 0.000 2.384 0.000 attributeset.py:205(__init__)
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296260 0.095 0.000 0.122 0.000 weakref.py:382(__getitem__)
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67021 0.090 0.000 0.462 0.000 file.py:391(cache_node)
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1175 0.087 0.000 0.087 0.000 {method '_g_read_slice' of 'tables.hdf5extension.Array' objects}
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616270 0.087 0.000 0.087 0.000 typeddict.py:131(_numba_type_)
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308147 0.085 0.000 0.085 0.000 serialize.py:140(_numba_unpickle)
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898066 0.084 0.000 0.084 0.000 {method 'append' of 'list' objects}
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137875/73461 0.084 0.000 0.265 0.000 {method 'format' of 'str' objects}
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145090 0.081 0.000 0.221 0.000 event.py:227(notify)
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1750 0.080 0.000 0.080 0.000 {method '_g_get_gchild_attr' of 'tables.hdf5extension.Group' objects}
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352943 0.080 0.000 0.112 0.000 generic.py:10(_check)
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38175 0.079 0.000 0.332 0.000 fromnumeric.py:70(_wrapreduction)
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67058 0.079 0.000 0.177 0.000 file.py:378(register_node)
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23828 0.077 0.000 0.849 0.000 typeddict.py:175(__contains__)
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241 0.075 0.000 0.075 0.000 {method '_g_flush' of 'tables.hdf5extension.Leaf' objects}
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67178 0.073 0.000 0.080 0.000 GQUAL.py:1122(adecay)
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82156 0.071 0.000 0.515 0.000 attributeset.py:61(issysattrname)
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313587 0.070 0.000 0.070 0.000 {built-in method __new__ of type object at 0x10353d808}
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380 0.066 0.000 0.067 0.000 {method '_create_carray' of 'tables.hdf5extension.Array' objects}
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8845/4681 0.063 0.000 0.064 0.000 packer.py:144(rec)
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60165/7218 0.061 0.000 5.043 0.001 file.py:404(get_node)
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23828 0.061 0.000 0.242 0.000 typeddict.py:169(__len__)
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94125 0.060 0.000 0.065 0.000 group.py:838(__setattr__)
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46516 0.056 0.000 0.060 0.000 HTRCH.py:374(vapor)
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56876/53145 0.056 0.000 0.459 0.000 {built-in method numpy.core._multiarray_umath.implement_array_function}
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430 0.056 0.000 0.057 0.000 models.py:103(traverse_types)
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2783 0.056 0.000 0.056 0.000 {method '_g_close' of 'tables.hdf5extension.Leaf' objects}

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