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Update publication candidate
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Lines changed: 30 additions & 23 deletions

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changelog.d/housing_takeup.fixed.md renamed to .github/publication_candidates/usdata-gha26008442345-a1/changelog.d/housing_takeup.fixed.md

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‎.github/publication_candidates/usdata-gha26008442345-a1/publication_scope.json‎

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{
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"base_release_version": "1.115.2",
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"candidate_scope": "1.115.2-patch",
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"release_bump": "patch",
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"run_id": "usdata-gha26008442345-a1",
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"would_release_as_at_build_time": "1.115.3"
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}

‎.github/publication_scope.json‎

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{
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"base_release_version": "1.115.2",
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"candidate_scope": "1.115.2-minor",
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"release_bump": "minor",
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"run_id": "usdata-gha26004168365-a1",
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"would_release_as_at_build_time": "1.116.0"
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"candidate_scope": "1.115.2-patch",
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"release_bump": "patch",
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"run_id": "usdata-gha26008442345-a1",
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"would_release_as_at_build_time": "1.115.3"
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}

‎docs/generated/pipeline_api.json‎

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"docstring": "\"Add auto loan balance, interest and net_worth variable.",
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"id": "add_auto_loan",
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"kind": "function",
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"line": 2821,
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"line": 2819,
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"metadata": {
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"api_refs": [
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"policyengine_us_data.datasets.cps.cps.add_auto_loan_interest_and_net_worth"
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"docstring": "Populate household-level geography variables used by PolicyEngine US.\n\nArgs:\n cps: Output CPS H5 group receiving derived household variables.\n household: Raw CPS household table.",
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"id": "add_household_variables",
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"kind": "function",
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"line": 1483,
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"line": 1481,
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"metadata": {
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"api_refs": [
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"policyengine_us_data.datasets.cps.cps.add_household_variables"
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"docstring": "Add basic ID and weight variables.\n\nArgs:\n cps (h5py.File): The CPS dataset file.\n person (DataFrame): The person table of the ASEC.\n tax_unit (DataFrame): The tax unit table created from the person table\n of the ASEC.\n family (DataFrame): The family table of the ASEC.\n spm_unit (DataFrame): The SPM unit table created from the person table\n of the ASEC.\n household (DataFrame): The household table of the ASEC.",
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"id": "add_id_variables",
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"kind": "function",
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"line": 952,
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"line": 950,
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"metadata": {
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"api_refs": [
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"policyengine_us_data.datasets.cps.cps.add_id_variables"
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"docstring": "Impute ORG-derived wage and union inputs onto CPS persons.",
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"id": "add_org_inputs",
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"kind": "function",
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"line": 2705,
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"line": 2703,
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"metadata": {
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"api_refs": [
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"policyengine_us_data.datasets.cps.cps.add_org_labor_market_inputs"
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"docstring": "Add income variables.\n\nArgs:\n cps (h5py.File): The CPS dataset file.\n person (DataFrame): The CPS person table.\n year (int): The CPS year",
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"id": "add_personal_income_variables",
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"kind": "function",
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"line": 1158,
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"line": 1156,
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"metadata": {
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"api_refs": [
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"policyengine_us_data.datasets.cps.cps.add_personal_income_variables"
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"docstring": "Add personal demographic variables.\n\nArgs:\n cps (h5py.File): The CPS dataset file.\n person (DataFrame): The CPS person table.",
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"id": "add_personal_variables",
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"kind": "function",
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"line": 1014,
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"line": 1012,
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"metadata": {
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"api_refs": [
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"policyengine_us_data.datasets.cps.cps.add_personal_variables"
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"docstring": "",
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"id": "add_previous_year_income",
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"kind": "function",
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"line": 1523,
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"metadata": {
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"api_refs": [
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"policyengine_us_data.datasets.cps.cps.add_previous_year_income"
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"docstring": "",
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"id": "add_rent",
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"kind": "function",
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"line": 353,
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"line": 352,
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"metadata": {
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"api_refs": [
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"policyengine_us_data.datasets.cps.cps.add_rent"
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"docstring": "",
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"id": "add_spm_variables",
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"kind": "function",
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"line": 1442,
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"metadata": {
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"api_refs": [
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"policyengine_us_data.datasets.cps.cps.add_spm_variables"
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"docstring": "Assign SSN card type using PRCITSHP, employment status, and ASEC-UA conditions.\nCodes:\n- 0: \"NONE\" - Likely undocumented immigrants\n- 1: \"CITIZEN\" - US citizens (born or naturalized)\n- 2: \"NON_CITIZEN_VALID_EAD\" - Non-citizens with work/study authorization\n- 3: \"OTHER_NON_CITIZEN\" - Non-citizens with indicators of legal status",
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"id": "add_ssn_card_type",
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"kind": "function",
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"metadata": {
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"api_refs": [
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"policyengine_us_data.datasets.cps.cps.add_ssn_card_type"
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"docstring": "",
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"id": "add_takeup",
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"kind": "function",
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"line": 472,
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"metadata": {
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"api_refs": [
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"policyengine_us_data.datasets.cps.cps.add_takeup"
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"docstring": "",
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"id": "add_tips",
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"kind": "function",
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"metadata": {
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"api_refs": [
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"policyengine_us_data.datasets.cps.cps.add_tips"
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"docstring": "Subsample the loaded CPS dataset and preserve downsampled arrays.\n\nArgs:\n frac: Fraction of records to retain.",
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"id": "downsample",
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"kind": "function",
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"line": 319,
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"metadata": {
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"api_refs": [
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"policyengine_us_data.datasets.cps.cps.CPS.downsample"
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"docstring": "Apply US entity IDs and calibrated household weights.",
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"id": "local_h5_us_entity_postprocessor",
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"kind": "class",
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"line": 148,
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"line": 151,
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"metadata": {
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"api_refs": [
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"policyengine_us_data.build_outputs.us_augmentations.USEntityPostProcessor"
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"docstring": "Payload after US entity ID and household-weight fields are applied.",
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"id": "local_h5_us_entity_postprocessor_result",
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"kind": "class",
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"line": 68,
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"line": 71,
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"metadata": {
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"api_refs": [
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"policyengine_us_data.build_outputs.us_augmentations.USEntityPostProcessorResult"
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"docstring": "Apply block-derived US geography overrides.",
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"id": "local_h5_us_geography_postprocessor",
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"kind": "class",
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"line": 201,
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"line": 204,
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"metadata": {
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"api_refs": [
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"policyengine_us_data.build_outputs.us_augmentations.USGeographyPostProcessor"
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"docstring": "Payload after US geography fields are applied.",
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"id": "local_h5_us_geography_postprocessor_result",
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"kind": "class",
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"line": 97,
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"metadata": {
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"api_refs": [
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"policyengine_us_data.build_outputs.us_augmentations.USGeographyPostProcessorResult"
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"docstring": "Apply US take-up draws after entity and geography postprocessing.",
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"id": "local_h5_us_takeup_postprocessor",
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"kind": "class",
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"line": 306,
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"line": 309,
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"metadata": {
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"api_refs": [
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"policyengine_us_data.build_outputs.us_augmentations.USTakeupPostProcessor"
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"docstring": "Payload after US take-up fields are applied.",
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"id": "local_h5_us_takeup_postprocessor_result",
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"kind": "class",
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"line": 121,
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"line": 124,
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"metadata": {
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"api_refs": [
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"policyengine_us_data.build_outputs.us_augmentations.USTakeupPostProcessorResult"

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