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Updates to handle large Monte Carlo runs
- #18
#18
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bolliger32
merged 17 commits into
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ClimateImpactLab/pyCIAM:main
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feature/alt-adapt
ClimateImpactLab/pyCIAM:feature/alt-adapt
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Feb 11, 2026
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Updates to handle large Monte Carlo runs
#18
bolliger32
merged 17 commits into
main
ClimateImpactLab/pyCIAM:main
from
feature/alt-adapt
ClimateImpactLab/pyCIAM:feature/alt-adapt
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Commits on Nov 26, 2025
handle different base years of K and pop in sliiders
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allow for restarting of surge lookup creation
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fix issues when seg_var != "seg_adm"
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Commits on Dec 27, 2025
fix io funcs for on-the-fly quantiles, fix storage_options default, add other selectors to prep_sliiders, allow other name options for dims of input stores, improve performance of create_template_d…
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Commits on Dec 28, 2025
handle upcoming xarray default merge changes, allow for skipping check for surge lookup completeness to save time, allow chunking along other dims than seg, use as_completed instead of client.gathe…
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optimize slr loading by using pint later in the process
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add vsl to the variables that are condensed to segment in collapse_econ_inputs_to_seg
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improve performance of surge lookup creation by loading only min and max of slr data; improve dtypes of template zarrs;
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remove all pins in environment.yml except python=3.14
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add numpy >= 2 dependency to pyproject.toml
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explicitly specify "quantile"
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add comment for when _load_scenario_mc only returns scenario filter, not MC
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Commits on Feb 4, 2026
fix i/o for when passing scen_mc_filter
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fix bug in using pandas index for xr.concat with pandas string dtype in pandas 3
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Commits on Feb 5, 2026
update execute_pyciam to work with large ensemble runs
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Commits on Feb 11, 2026
extract some functionality into private funcs and confirm it works for end-to-end large ensemble run
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remove unnecessary block
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