Search is not available for this dataset
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
cik: string
adsh: string
itemNumber: string
fieldName: string
comment: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 825
to
{'cik': Value(dtype='string', id=None), 'adsh': Value(dtype='string', id=None), 'assetTypeNumber': Value(dtype='string', id=None), 'assetNumber': Value(dtype='string', id=None), 'reportingPeriodBeginningDate': Value(dtype='timestamp[ns]', id=None), 'reportingPeriodEndDate': Value(dtype='timestamp[ns]', id=None), 'originatorName': Value(dtype='string', id=None), 'originationDate': Value(dtype='timestamp[ns]', id=None), 'originalLoanAmount': Value(dtype='float64', id=None), 'originalTermLoanNumber': Value(dtype='float64', id=None), 'maturityDate': Value(dtype='timestamp[ns]', id=None), 'originalInterestRatePercentage': Value(dtype='float64', id=None), 'interestRateSecuritizationPercentage': Value(dtype='float64', id=None), 'interestAccrualMethodCode': Value(dtype='float64', id=None), 'originalInterestRateTypeCode': Value(dtype='float64', id=None), 'originalInterestOnlyTermNumber': Value(dtype='float64', id=None), 'firstLoanPaymentDueDate': Value(dtype='timestamp[ns]', id=None), 'underwritingIndicator': Value(dtype='bool', id=None), 'lienPositionSecuritizationCode': Value(dtype='float64', id=None), 'loanStructureCode': Value(dtype='string', id=None), 'paymentTypeCode': Value(dtype='float64', id=None), 'periodicPrincipalAndInterestPaymentSecuritizationAmount': Value(dtype='float64', id=None), 'scheduledPrincipalBalanceSecuritizationAmount': Value(dtype='float64', id=None), 'paymentFrequencyCode': Value(dtype='float64', id=None), 'NumberPropertiesSecuritization': Value(dtype='floa
...
enantNumber': Value(dtype='float64', id=None), 'leaseExpirationSecondLargestTenantDate': Value(dtype='timestamp[ns]', id=None), 'thirdLargestTenant': Value(dtype='string', id=None), 'squareFeetThirdLargestTenantNumber': Value(dtype='float64', id=None), 'leaseExpirationThirdLargestTenantDate': Value(dtype='timestamp[ns]', id=None), 'mostRecentFinancialsStartDate': Value(dtype='timestamp[ns]', id=None), 'mostRecentFinancialsEndDate': Value(dtype='timestamp[ns]', id=None), 'mostRecentRevenueAmount': Value(dtype='float64', id=None), 'operatingExpensesAmount': Value(dtype='float64', id=None), 'mostRecentNetOperatingIncomeAmount': Value(dtype='float64', id=None), 'mostRecentNetCashFlowAmount': Value(dtype='float64', id=None), 'mostRecentDebtServiceAmount': Value(dtype='float64', id=None), 'mostRecentDebtServiceCoverageNetOperatingIncomePercentage': Value(dtype='float64', id=None), 'mostRecentDebtServiceCoverageNetCashFlowpercentage': Value(dtype='float64', id=None), 'mostRecentAnnualLeaseRolloverReviewDate': Value(dtype='timestamp[ns]', id=None), 'unitsBedsRoomsSecuritizationNumber': Value(dtype='float64', id=None), 'yieldMaintenanceEndDate': Value(dtype='timestamp[ns]', id=None), 'prepaymentPremiumsEndDate': Value(dtype='timestamp[ns]', id=None), 'unitsBedsRoomsNumber': Value(dtype='float64', id=None), 'scheduledPrincipalAmount': Value(dtype='float64', id=None), 'graceDaysAllowedNumber': Value(dtype='float64', id=None), 'hyperAmortizingDate': Value(dtype='timestamp[ns]', id=None)}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/libs/libcommon/src/libcommon/parquet_utils.py", line 437, in query
pa_table = pa.concat_tables(
File "pyarrow/table.pxi", line 5317, in pyarrow.lib.concat_tables
File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: Schema at index 1 was different:
cik: string
adsh: string
assetTypeNumber: string
assetNumber: string
reportingPeriodBeginningDate: timestamp[ns]
reportingPeriodEndDate: timestamp[ns]
originatorName: string
originationDate: timestamp[ns]
originalLoanAmount: double
originalTermLoanNumber: double
maturityDate: timestamp[ns]
originalInterestRatePercentage: double
interestRateSecuritizationPercentage: double
interestAccrualMethodCode: double
originalInterestRateTypeCode: double
originalInterestOnlyTermNumber: double
firstLoanPaymentDueDate: timestamp[ns]
underwritingIndicator: bool
lienPositionSecuritizationCode: double
loanStructureCode: string
paymentTypeCode: double
periodicPrincipalAndInterestPaymentSecuritizationAmount: double
scheduledPrincipalBalanceSecuritizationAmount: double
paymentFrequencyCode: double
NumberPropertiesSecuritization: double
NumberProperties: double
interestOnlyIndicator: bool
balloonIndicator: bool
prepaymentPremiumIndicator: bool
negativeAmortizationIndicator: bool
modifiedIndicator: bool
prepaymentLockOutEndDate: timestamp[ns]
propertyName: string
propertyAddress: string
propertyCity: string
propertyState: string
propertyZip: string
propertyCounty: string
propertyTypeCode: string
netRentableSquareFeetSecuritizationNumber: double
yearBuiltNumber: int64
valuationSecuritizationAmount: double
valuationSourceSecuritizationCode: string
valuationSecuritizationDate: timestamp[ns]
mostRecentValuationAmount: double
mostRecentValuationDate: timestamp[ns]
mostRecentValuationSourceCode: string
physicalOccupancySecuritizationPercentage: double
propertyStatusCode: int64
defeasanceOptionStartDate: timestamp[ns]
DefeasedStatusCode: string
financialsSecuritizationDate: timestamp[ns]
revenueSecuritizationAmount: double
operatingExpensesSecuritizationAmount: double
netOperatingIncomeSecuritizationAmount: double
netCashFlowFlowSecuritizationAmount: double
netOperatingIncomeNetCashFlowSecuritizationCode: string
netOperatingIncomeNetCashFlowCode: string
debtServiceCoverageNetOperatingIncomeSecuritizationPercentage: double
debtServiceCoverageNetCashFlowSecuritizationPercentage: double
debtServiceCoverageSecuritizationCode: bool
mostRecentDebtServiceCoverageCode: bool
assetAddedIndicator: bool
reportPeriodModificationIndicator: bool
reportPeriodBeginningScheduleLoanBalanceAmount: double
totalScheduledPrincipalInterestDueAmount: double
reportPeriodInterestRatePercentage: double
servicerTrusteeFeeRatePercentage: double
scheduledInterestAmount: double
reportPeriodEndActualBalanceAmount: double
reportPeriodEndScheduledLoanBalanceAmount: double
paidThroughDate: timestamp[ns]
servicingAdvanceMethodCode: int64
nonRecoverabilityIndicator: bool
paymentStatusLoanCode: double
armIndexRatePercentage: double
nextInterestRatePercentage: double
primaryServicerName: string
assetSubjectDemandIndicator: bool
originalAmortizationTermNumber: double
netRentableSquareFeetNumber: double
yearLastRenovated: double
mostRecentPhysicalOccupancyPercentage: double
largestTenant: string
squareFeetLargestTenantNumber: double
leaseExpirationLargestTenantDate: timestamp[ns]
secondLargestTenant: string
squareFeetSecondLargestTenantNumber: double
leaseExpirationSecondLargestTenantDate: timestamp[ns]
thirdLargestTenant: string
squareFeetThirdLargestTenantNumber: double
leaseExpirationThirdLargestTenantDate: timestamp[ns]
mostRecentFinancialsStartDate: timestamp[ns]
mostRecentFinancialsEndDate: timestamp[ns]
mostRecentRevenueAmount: double
operatingExpensesAmount: double
mostRecentNetOperatingIncomeAmount: double
mostRecentNetCashFlowAmount: double
mostRecentDebtServiceAmount: double
mostRecentDebtServiceCoverageNetOperatingIncomePercentage: double
mostRecentDebtServiceCoverageNetCashFlowpercentage: double
mostRecentAnnualLeaseRolloverReviewDate: timestamp[ns]
unitsBedsRoomsSecuritizationNumber: double
yieldMaintenanceEndDate: timestamp[ns]
prepaymentPremiumsEndDate: timestamp[ns]
unitsBedsRoomsNumber: double
scheduledPrincipalAmount: double
graceDaysAllowedNumber: double
hyperAmortizingDate: timestamp[ns]
vs
cik: string
adsh: string
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 105, in get_rows_content
pa_table = rows_index.query(offset=0, length=rows_max_number)
File "/src/libs/libcommon/src/libcommon/parquet_utils.py", line 586, in query
return self.parquet_index.query(offset=offset, length=length)
File "/src/libs/libcommon/src/libcommon/parquet_utils.py", line 444, in query
raise SchemaMismatchError("Parquet files have different schema.", err)
libcommon.parquet_utils.SchemaMismatchError: ('Parquet files have different schema.', ArrowInvalid('Schema at index 1 was different: \ncik: string\nadsh: string\nassetTypeNumber: string\nassetNumber: string\nreportingPeriodBeginningDate: timestamp[ns]\nreportingPeriodEndDate: timestamp[ns]\noriginatorName: string\noriginationDate: timestamp[ns]\noriginalLoanAmount: double\noriginalTermLoanNumber: double\nmaturityDate: timestamp[ns]\noriginalInterestRatePercentage: double\ninterestRateSecuritizationPercentage: double\ninterestAccrualMethodCode: double\noriginalInterestRateTypeCode: double\noriginalInterestOnlyTermNumber: double\nfirstLoanPaymentDueDate: timestamp[ns]\nunderwritingIndicator: bool\nlienPositionSecuritizationCode: double\nloanStructureCode: string\npaymentTypeCode: double\nperiodicPrincipalAndInterestPaymentSecuritizationAmount: double\nscheduledPrincipalBalanceSecuritizationAmount: double\npaymentFrequencyCode: double\nNumberPropertiesSecuritization: double\nNumberProperties: double\ninterestOnlyIndicator: bool\nballoonIndicator: bool\nprepaymentPremiumIndicator: bool\nnegativeAmortizationIndicator: bool\nmodifiedIndicator: bool\nprepaymentLockOutEndDate: timestamp[ns]\npropertyName: string\npropertyAddress: string\npropertyCity: string\npropertyState: string\npropertyZip: string\npropertyCounty: string\npropertyTypeCode: string\nnetRentableSquareFeetSecuritizationNumber: double\nyearBuiltNumber: int64\nvaluationSecuritizationAmount: double\nvaluationSourceSecuritizationCode: string\nvaluationSecuritizationDate: timestamp[ns]\nmostRecentValuationAmount: double\nmostRecentValuationDate: timestamp[ns]\nmostRecentValuationSourceCode: string\nphysicalOccupancySecuritizationPercentage: double\npropertyStatusCode: int64\ndefeasanceOptionStartDate: timestamp[ns]\nDefeasedStatusCode: string\nfinancialsSecuritizationDate: timestamp[ns]\nrevenueSecuritizationAmount: double\noperatingExpensesSecuritizationAmount: double\nnetOperatingIncomeSecuritizationAmount: double\nnetCashFlowFlowSecuritizationAmount: double\nnetOperatingIncomeNetCashFlowSecuritizationCode: string\nnetOperatingIncomeNetCashFlowCode: string\ndebtServiceCoverageNetOperatingIncomeSecuritizationPercentage: double\ndebtServiceCoverageNetCashFlowSecuritizationPercentage: double\ndebtServiceCoverageSecuritizationCode: bool\nmostRecentDebtServiceCoverageCode: bool\nassetAddedIndicator: bool\nreportPeriodModificationIndicator: bool\nreportPeriodBeginningScheduleLoanBalanceAmount: double\ntotalScheduledPrincipalInterestDueAmount: double\nreportPeriodInterestRatePercentage: double\nservicerTrusteeFeeRatePercentage: double\nscheduledInterestAmount: double\nreportPeriodEndActualBalanceAmount: double\nreportPeriodEndScheduledLoanBalanceAmount: double\npaidThroughDate: timestamp[ns]\nservicingAdvanceMethodCode: int64\nnonRecoverabilityIndicator: bool\npaymentStatusLoanCode: double\narmIndexRatePercentage: double\nnextInterestRatePercentage: double\nprimaryServicerName: string\nassetSubjectDemandIndicator: bool\noriginalAmortizationTermNumber: double\nnetRentableSquareFeetNumber: double\nyearLastRenovated: double\nmostRecentPhysicalOccupancyPercentage: double\nlargestTenant: string\nsquareFeetLargestTenantNumber: double\nleaseExpirationLargestTenantDate: timestamp[ns]\nsecondLargestTenant: string\nsquareFeetSecondLargestTenantNumber: double\nleaseExpirationSecondLargestTenantDate: timestamp[ns]\nthirdLargestTenant: string\nsquareFeetThirdLargestTenantNumber: double\nleaseExpirationThirdLargestTenantDate: timestamp[ns]\nmostRecentFinancialsStartDate: timestamp[ns]\nmostRecentFinancialsEndDate: timestamp[ns]\nmostRecentRevenueAmount: double\noperatingExpensesAmount: double\nmostRecentNetOperatingIncomeAmount: double\nmostRecentNetCashFlowAmount: double\nmostRecentDebtServiceAmount: double\nmostRecentDebtServiceCoverageNetOperatingIncomePercentage: double\nmostRecentDebtServiceCoverageNetCashFlowpercentage: double\nmostRecentAnnualLeaseRolloverReviewDate: timestamp[ns]\nunitsBedsRoomsSecuritizationNumber: double\nyieldMaintenanceEndDate: timestamp[ns]\nprepaymentPremiumsEndDate: timestamp[ns]\nunitsBedsRoomsNumber: double\nscheduledPrincipalAmount: double\ngraceDaysAllowedNumber: double\nhyperAmortizingDate: timestamp[ns]\nvs\ncik: string\nadsh: string'))
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 322, in compute
compute_first_rows_from_parquet_response(
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 119, in compute_first_rows_from_parquet_response
return create_first_rows_response(
File "/src/libs/libcommon/src/libcommon/viewer_utils/rows.py", line 135, in create_first_rows_response
rows_content = get_rows_content(rows_max_number)
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 114, in get_rows_content
raise SplitParquetSchemaMismatchError(
libcommon.exceptions.SplitParquetSchemaMismatchError: Split parquet files being processed have different schemas. Ensure all files have identical column names.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 96, in get_rows_or_raise
return get_rows(
File "/src/libs/libcommon/src/libcommon/utils.py", line 197, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 73, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1389, in __iter__
for key, example in ex_iterable:
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 282, in __iter__
for key, pa_table in self.generate_tables_fn(**self.kwargs):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/parquet/parquet.py", line 97, in _generate_tables
yield f"{file_idx}_{batch_idx}", self._cast_table(pa_table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/parquet/parquet.py", line 75, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
cik: string
adsh: string
itemNumber: string
fieldName: string
comment: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 825
to
{'cik': Value(dtype='string', id=None), 'adsh': Value(dtype='string', id=None), 'assetTypeNumber': Value(dtype='string', id=None), 'assetNumber': Value(dtype='string', id=None), 'reportingPeriodBeginningDate': Value(dtype='timestamp[ns]', id=None), 'reportingPeriodEndDate': Value(dtype='timestamp[ns]', id=None), 'originatorName': Value(dtype='string', id=None), 'originationDate': Value(dtype='timestamp[ns]', id=None), 'originalLoanAmount': Value(dtype='float64', id=None), 'originalTermLoanNumber': Value(dtype='float64', id=None), 'maturityDate': Value(dtype='timestamp[ns]', id=None), 'originalInterestRatePercentage': Value(dtype='float64', id=None), 'interestRateSecuritizationPercentage': Value(dtype='float64', id=None), 'interestAccrualMethodCode': Value(dtype='float64', id=None), 'originalInterestRateTypeCode': Value(dtype='float64', id=None), 'originalInterestOnlyTermNumber': Value(dtype='float64', id=None), 'firstLoanPaymentDueDate': Value(dtype='timestamp[ns]', id=None), 'underwritingIndicator': Value(dtype='bool', id=None), 'lienPositionSecuritizationCode': Value(dtype='float64', id=None), 'loanStructureCode': Value(dtype='string', id=None), 'paymentTypeCode': Value(dtype='float64', id=None), 'periodicPrincipalAndInterestPaymentSecuritizationAmount': Value(dtype='float64', id=None), 'scheduledPrincipalBalanceSecuritizationAmount': Value(dtype='float64', id=None), 'paymentFrequencyCode': Value(dtype='float64', id=None), 'NumberPropertiesSecuritization': Value(dtype='floa
...
enantNumber': Value(dtype='float64', id=None), 'leaseExpirationSecondLargestTenantDate': Value(dtype='timestamp[ns]', id=None), 'thirdLargestTenant': Value(dtype='string', id=None), 'squareFeetThirdLargestTenantNumber': Value(dtype='float64', id=None), 'leaseExpirationThirdLargestTenantDate': Value(dtype='timestamp[ns]', id=None), 'mostRecentFinancialsStartDate': Value(dtype='timestamp[ns]', id=None), 'mostRecentFinancialsEndDate': Value(dtype='timestamp[ns]', id=None), 'mostRecentRevenueAmount': Value(dtype='float64', id=None), 'operatingExpensesAmount': Value(dtype='float64', id=None), 'mostRecentNetOperatingIncomeAmount': Value(dtype='float64', id=None), 'mostRecentNetCashFlowAmount': Value(dtype='float64', id=None), 'mostRecentDebtServiceAmount': Value(dtype='float64', id=None), 'mostRecentDebtServiceCoverageNetOperatingIncomePercentage': Value(dtype='float64', id=None), 'mostRecentDebtServiceCoverageNetCashFlowpercentage': Value(dtype='float64', id=None), 'mostRecentAnnualLeaseRolloverReviewDate': Value(dtype='timestamp[ns]', id=None), 'unitsBedsRoomsSecuritizationNumber': Value(dtype='float64', id=None), 'yieldMaintenanceEndDate': Value(dtype='timestamp[ns]', id=None), 'prepaymentPremiumsEndDate': Value(dtype='timestamp[ns]', id=None), 'unitsBedsRoomsNumber': Value(dtype='float64', id=None), 'scheduledPrincipalAmount': Value(dtype='float64', id=None), 'graceDaysAllowedNumber': Value(dtype='float64', id=None), 'hyperAmortizingDate': Value(dtype='timestamp[ns]', id=None)}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
| cik | form | accessionNumber | fileNumber | filmNumber | reportDate | url |
|---|---|---|---|---|---|---|
| 1803702 | ABS-EE | 0001539497-20-000514 | 333-227081-05 | 20681368 | 2020-03-11 | https://sec.gov/Archives/edgar/data/1803702/000153949720000514 |
| 1803702 | ABS-EE | 0001056404-20-005074 | 333-227081-05 | 20840720 | 2020-04-17 | https://sec.gov/Archives/edgar/data/1803702/000105640420005074 |
| 1803702 | ABS-EE | 0001056404-20-005972 | 333-227081-05 | 20928733 | 2020-05-15 | https://sec.gov/Archives/edgar/data/1803702/000105640420005972 |
| 1803702 | ABS-EE | 0001056404-20-006925 | 333-227081-05 | 201002163 | 2020-06-17 | https://sec.gov/Archives/edgar/data/1803702/000105640420006925 |
| 1803702 | ABS-EE | 0001056404-20-008079 | 333-227081-05 | 201057021 | 2020-07-17 | https://sec.gov/Archives/edgar/data/1803702/000105640420008079 |
| 1803702 | ABS-EE | 0001056404-20-009643 | 333-227081-05 | 201151230 | 2020-08-17 | https://sec.gov/Archives/edgar/data/1803702/000105640420009643 |
| 1803702 | ABS-EE | 0001056404-20-010588 | 333-227081-05 | 201212075 | 2020-09-17 | https://sec.gov/Archives/edgar/data/1803702/000105640420010588 |
| 1803702 | ABS-EE | 0001056404-20-011719 | 333-227081-05 | 201276908 | 2020-10-19 | https://sec.gov/Archives/edgar/data/1803702/000105640420011719 |
| 1803702 | ABS-EE | 0001056404-20-013414 | 333-227081-05 | 201366062 | 2020-11-18 | https://sec.gov/Archives/edgar/data/1803702/000105640420013414 |
| 1803702 | ABS-EE | 0001056404-20-014076 | 333-227081-05 | 201421431 | 2020-12-17 | https://sec.gov/Archives/edgar/data/1803702/000105640420014076 |
| 1803702 | ABS-EE | 0001056404-21-001161 | 333-227081-05 | 21575515 | 2021-01-15 | https://sec.gov/Archives/edgar/data/1803702/000105640421001161 |
| 1803702 | ABS-EE | 0001056404-21-001861 | 333-227081-05 | 21708262 | 2021-02-18 | https://sec.gov/Archives/edgar/data/1803702/000105640421001861 |
| 1803702 | ABS-EE | 0001056404-21-003591 | 333-227081-05 | 21787174 | 2021-03-17 | https://sec.gov/Archives/edgar/data/1803702/000105640421003591 |
| 1803702 | ABS-EE | 0001056404-21-004740 | 333-227081-05 | 21863388 | 2021-04-16 | https://sec.gov/Archives/edgar/data/1803702/000105640421004740 |
| 1803702 | ABS-EE | 0001056404-21-006737 | 333-227081-05 | 21980480 | 2021-05-17 | https://sec.gov/Archives/edgar/data/1803702/000105640421006737 |
| 1803702 | ABS-EE | 0001056404-21-007719 | 333-227081-05 | 211061193 | 2021-06-17 | https://sec.gov/Archives/edgar/data/1803702/000105640421007719 |
| 1803702 | ABS-EE | 0001056404-21-009020 | 333-227081-05 | 211122981 | 2021-07-16 | https://sec.gov/Archives/edgar/data/1803702/000105640421009020 |
| 1803702 | ABS-EE | 0001056404-21-010581 | 333-227081-05 | 211227428 | 2021-08-17 | https://sec.gov/Archives/edgar/data/1803702/000105640421010581 |
| 1803702 | ABS-EE | 0001056404-21-011689 | 333-227081-05 | 211293885 | 2021-09-17 | https://sec.gov/Archives/edgar/data/1803702/000105640421011689 |
| 1803702 | ABS-EE | 0001056404-21-013040 | 333-227081-05 | 211352116 | 2021-10-18 | https://sec.gov/Archives/edgar/data/1803702/000105640421013040 |
| 1803702 | ABS-EE/A | 0001888524-21-002875 | 333-227081-05 | 211527401 | 2021-10-18 | https://sec.gov/Archives/edgar/data/1803702/000188852421002875 |
| 1803702 | ABS-EE | 0001888524-21-001558 | 333-227081-05 | 211462150 | 2021-11-18 | https://sec.gov/Archives/edgar/data/1803702/000188852421001558 |
| 1803702 | ABS-EE | 0001888524-21-003273 | 333-227081-05 | 211530331 | 2021-12-17 | https://sec.gov/Archives/edgar/data/1803702/000188852421003273 |
| 1803702 | ABS-EE | 0001888524-22-001047 | 333-227081-05 | 22580220 | 2022-01-18 | https://sec.gov/Archives/edgar/data/1803702/000188852422001047 |
| 1803702 | ABS-EE | 0001888524-22-001668 | 333-227081-05 | 22695129 | 2022-02-17 | https://sec.gov/Archives/edgar/data/1803702/000188852422001668 |
| 1803702 | ABS-EE | 0001888524-22-003588 | 333-227081-05 | 22778812 | 2022-03-17 | https://sec.gov/Archives/edgar/data/1803702/000188852422003588 |
| 1803702 | ABS-EE | 0001888524-22-005464 | 333-227081-05 | 22872061 | 2022-04-18 | https://sec.gov/Archives/edgar/data/1803702/000188852422005464 |
| 1803702 | ABS-EE | 0001888524-22-006713 | 333-227081-05 | 22981516 | 2022-05-17 | https://sec.gov/Archives/edgar/data/1803702/000188852422006713 |
| 1803702 | ABS-EE | 0001888524-22-008042 | 333-227081-05 | 221056710 | 2022-06-17 | https://sec.gov/Archives/edgar/data/1803702/000188852422008042 |
| 1803702 | ABS-EE | 0001888524-22-009282 | 333-227081-05 | 221113672 | 2022-07-15 | https://sec.gov/Archives/edgar/data/1803702/000188852422009282 |
| 1803702 | ABS-EE | 0001888524-22-010941 | 333-227081-05 | 221217713 | 2022-08-17 | https://sec.gov/Archives/edgar/data/1803702/000188852422010941 |
| 1803702 | ABS-EE | 0001888524-22-012046 | 333-227081-05 | 221279363 | 2022-09-16 | https://sec.gov/Archives/edgar/data/1803702/000188852422012046 |
| 1803702 | ABS-EE | 0001888524-22-013668 | 333-227081-05 | 221344867 | 2022-10-17 | https://sec.gov/Archives/edgar/data/1803702/000188852422013668 |
| 1803702 | ABS-EE | 0001888524-22-015058 | 333-227081-05 | 221441145 | 2022-11-18 | https://sec.gov/Archives/edgar/data/1803702/000188852422015058 |
| 1803702 | ABS-EE | 0001888524-22-015858 | 333-227081-05 | 221497039 | 2022-12-16 | https://sec.gov/Archives/edgar/data/1803702/000188852422015858 |
| 1803702 | ABS-EE | 0001888524-23-000860 | 333-227081-05 | 23572143 | 2023-01-18 | https://sec.gov/Archives/edgar/data/1803702/000188852423000860 |
| 1803702 | ABS-EE | 0001888524-23-002752 | 333-227081-05 | 23703312 | 2023-02-17 | https://sec.gov/Archives/edgar/data/1803702/000188852423002752 |
| 1803702 | ABS-EE | 0001888524-23-004637 | 333-227081-05 | 23777781 | 2023-03-17 | https://sec.gov/Archives/edgar/data/1803702/000188852423004637 |
| 1803702 | ABS-EE | 0001888524-23-006216 | 333-227081-05 | 23865570 | 2023-04-17 | https://sec.gov/Archives/edgar/data/1803702/000188852423006216 |
| 1803702 | ABS-EE | 0001888524-23-007989 | 333-227081-05 | 23983544 | 2023-05-17 | https://sec.gov/Archives/edgar/data/1803702/000188852423007989 |
| 1803702 | ABS-EE | 0001888524-23-008834 | 333-227081-05 | 231055326 | 2023-06-16 | https://sec.gov/Archives/edgar/data/1803702/000188852423008834 |
| 1803702 | ABS-EE | 0001888524-23-010043 | 333-227081-05 | 231112091 | 2023-07-17 | https://sec.gov/Archives/edgar/data/1803702/000188852423010043 |
| 1803702 | ABS-EE | 0001888524-23-011813 | 333-227081-05 | 231224869 | 2023-08-17 | https://sec.gov/Archives/edgar/data/1803702/000188852423011813 |
| 1803702 | ABS-EE | 0001888524-23-013753 | 333-227081-05 | 231288303 | 2023-09-15 | https://sec.gov/Archives/edgar/data/1803702/000188852423013753 |
| 1803702 | ABS-EE | 0001888524-23-014969 | 333-227081-05 | 231359517 | 2023-10-17 | https://sec.gov/Archives/edgar/data/1803702/000188852423014969 |
| 1803702 | ABS-EE | 0001888524-23-016945 | 333-227081-05 | 231459356 | 2023-11-17 | https://sec.gov/Archives/edgar/data/1803702/000188852423016945 |
| 1803702 | ABS-EE | 0001888524-23-017463 | 333-227081-05 | 231513472 | 2023-12-15 | https://sec.gov/Archives/edgar/data/1803702/000188852423017463 |
| 1803702 | ABS-EE | 0001888524-24-000598 | 333-227081-05 | 24572453 | 2024-01-18 | https://sec.gov/Archives/edgar/data/1803702/000188852424000598 |
| 1803702 | ABS-EE | 0001888524-24-002085 | 333-227081-05 | 24684549 | 2024-02-16 | https://sec.gov/Archives/edgar/data/1803702/000188852424002085 |
| 1803702 | ABS-EE | 0001888524-24-004246 | 333-227081-05 | 24783320 | 2024-03-15 | https://sec.gov/Archives/edgar/data/1803702/000188852424004246 |
| 1803702 | ABS-EE | 0001888524-24-006883 | 333-227081-05 | 24905780 | 2024-04-17 | https://sec.gov/Archives/edgar/data/1803702/000188852424006883 |
| 1803702 | ABS-EE | 0001888524-24-007625 | 333-227081-05 | 24996498 | 2024-05-17 | https://sec.gov/Archives/edgar/data/1803702/000188852424007625 |
| 1803702 | ABS-EE | 0001888524-24-009730 | 333-227081-05 | 241084425 | 2024-06-17 | https://sec.gov/Archives/edgar/data/1803702/000188852424009730 |
| 1803702 | ABS-EE | 0001888524-24-011036 | 333-227081-05 | 241154837 | 2024-07-17 | https://sec.gov/Archives/edgar/data/1803702/000188852424011036 |
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