Draft Pandas 3.0, create new HDF5 close() method by rburghol · Pull Request #208 · respec/HSPsquared

Commits on Dec 17, 2025

more debug

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provide OVOL to state for use in specl

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ref ovol3 in equation for withdrawal

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Commits on Dec 18, 2025

corrected bad overwrite of demand o1,... and set test flow to ivol

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Commits on Dec 19, 2025

debug

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debug

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debug

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debug

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do not convert ivol in state transactions, if ops need conversions they should handle it themselves

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Commits on Dec 29, 2025

added an extra equation
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removed deprecated column

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Merge branch 'develop-state-class' of github.com:HARPgroup/HSPsquared into develop-state-class

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madapt sedtrn to new state object

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io_manager was no longer used

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io_manager was no longer used

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one more state migration fix

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Commits on Dec 30, 2025

migrate RQUAL to new format

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debug off

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debug off

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debug off

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test no om

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reenable om

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debug off

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debug off

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Commits on Dec 31, 2025

added refresh for uci only command

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added a long running version of UCI
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Merge branch 'develop-state-class' of github.com:HARPgroup/HSPsquared into develop-state-class

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dont remove existing h5

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add info

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add info

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update uci test
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Commits on Jan 5, 2026

replace Dict to make explicit reference that hopefully numba will run OK in NUMBA_DISABLE_JIT=1 mode

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test different declaration style

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test different declaration style - fixe

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new declarations ready for model run testin

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removed extraneous package indicator since it is aliased

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add state_ix initialization

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go to all numba types for number arrays

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muste use numpy types when casting to numba arrays?

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use numpy types during resize too

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change all OM indices to 64 bit

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Commits on Jan 6, 2026

timer debugging added

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remove unused import

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detailed state tracking 1

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detailed state tracking 2

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test caching objecdt in function

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different reference will work?

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set initial values externally

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test simpler implementation

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test simpler implementation

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add num_ops

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simpler spec

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simpler spec

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no complex setting in init

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no complex setting in init

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no complex setting in init

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no complex setting in init

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what happens if we dont return it?

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numba as source not types

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numba as source not types

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return nothing

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pass atts

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pass atts

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pass atts and return

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pass atts and return

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try to use cache=true cause the google AI said it should work even though all human say it shouldnt

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this is why you dont trust the silly AI

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can compile state_init_true?

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can compile state_init_true?

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can compile state_init_true?

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can compile state_context_hsp2

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more info

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no njit

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remove redundant path creation

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info

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info

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eval prep with state as non jit

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eval prep with state as non jit

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state class lite compiled and returned what is time impact?

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also must compile state_class

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add field to lite

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add field to lite

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add field to lite

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add field to lite

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add field to lite

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add remaining needed fields to lite

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add contextual fields to lite

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where is lite

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now use lite with copier at start

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typo

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typo

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use non method function

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dont forget to copy all needed

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de ubg and copy hsp active or not

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jit off

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debug

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jit on, removed context call since that is a double function that is not needed here

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info

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info

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add actual defaults

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add model_root_name!

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use old function

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copy root name

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numbaize old support function

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no jit on base state class to speed up

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use correct term

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Commits on Jan 7, 2026

cleaned up imports

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better memory handling

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missing import

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missing import

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timer

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need to pass state

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nreposition

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oops overwrote state

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dont pass timer

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restore main.py and add timing alerts

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create timer

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import def

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fix args

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add numba compatible small state

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add segments

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reduce args for this empty function

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isable jit for debug

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isable jit for debug

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debug

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debug

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need to include other pointer

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need to include other pointer

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debug off

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njiton

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debug

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jit on

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debug less

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debug less

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debug

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debug

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debug

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debug

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handle other dict append too

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oops missing arg

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oops missing arg

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wrong target

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wrong target

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less debug

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Commits on Jan 8, 2026

jit fn to see if key exists in state

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jit part of fn to measure speed

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jit part of fn to measure speed

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jit part of fn to measure speed

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jit set value

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jit set value not append

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jit set value not append

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return not set in ref

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use np array

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use DataFrame to as_nparray

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must call as function

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make all ixs as df then convert

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import df

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convert all to df

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add a timer to single section

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make timer a separate function file

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missing import

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debug

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debug timing

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debug timing

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disambiguate

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use faster state path check

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include fn

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debug less

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use fn in sim timer

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debugless

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less verbose

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less verbose

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less verbose

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less verbose

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Commits on Jan 9, 2026

ad big test data set

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debug

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replace nuneeded link

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debug

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good WD test

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good WD test

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info

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info

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debug

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debug

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do not conert ep_list to numpy cuz it is text!

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debug

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debug

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debug

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debug

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copy domain too!

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debug off

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debug off

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debug off

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return on zero op type

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return on -1 initialize op_lists as such

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debug

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multi dim not scalar

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multi dim not scalar

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check comparator efficiency

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tiny withdrawal

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Merge branch 'develop' into develop-state-class
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rename import

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Merge branch 'develop-state-class' of github.com:HARPgroup/HSPsquared into develop-state-class

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add import

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use non obj function version

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use non obj function version

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make sure all are jitted

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dont jit stuff that shouldnt be!

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Commits on Jan 16, 2026

parsing help

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Commits on Jan 20, 2026

annotate and better handking

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Commits on Jan 21, 2026

initialize HSP2 rchres etc earlier in the process

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use direct dictionary referecnes instead of copies (which should pass by reference but maybe dont)
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break out state initializers to handle reorder

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break out state initializers to handle reorder

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do not enclose in parens does this help testing?

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restore parens

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Merge branch 'update_uci' of github.com:HARPgroup/HSPsquared into develop-state-class

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merged adjacent branches to facilitate synch with develop

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develop-state-class

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develop-state-class

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info

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allow tests_root_dir to be passed in instead of guessing

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Commits on Jan 22, 2026

test directory handling

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get fixed tests

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Comments

Commits

Commits on Dec 17, 2025

Commits on Dec 18, 2025

Commits on Dec 19, 2025

Commits on Dec 29, 2025

Commits on Dec 30, 2025

Commits on Dec 31, 2025

Commits on Jan 5, 2026

Commits on Jan 6, 2026

Commits on Jan 7, 2026