From 7c779922a9776d42d066afa2696986a80124cefe Mon Sep 17 00:00:00 2001 From: Krzysztof Findeisen Date: Tue, 8 Oct 2024 11:40:19 -0700 Subject: [PATCH 1/4] Remove magic directories from scripts/make_preloaded.sh. The user should not have to guess which is the "right" directory from which to run the script. --- scripts/make_preloaded.sh | 20 ++++++++++++-------- 1 file changed, 12 insertions(+), 8 deletions(-) diff --git a/scripts/make_preloaded.sh b/scripts/make_preloaded.sh index 50974ad..cf93695 100755 --- a/scripts/make_preloaded.sh +++ b/scripts/make_preloaded.sh @@ -4,26 +4,30 @@ set -e set -x +SCRIPT_DIR="$( dirname -- "${BASH_SOURCE[0]}" )" +DATASET_REPO="${SCRIPT_DIR}/../preloaded/" + + # base butler repo and instrument -bash scripts/make_empty_preloaded_butler.sh +bash "${SCRIPT_DIR}/make_empty_preloaded_butler.sh" # get calibs from original repo -python scripts/import_calibs.py -c 2.2i/calib +python "${SCRIPT_DIR}/import_calibs.py -c 2.2i/calib" # templates -python scripts/import_templates.py -t u/elhoward/DM-38451/templates -w "skymap='DC2' and tract=4431 and patch IN(9,10,16,17) and band='r'" +python "${SCRIPT_DIR}/import_templates.py" -t u/elhoward/DM-38451/templates -w "skymap='DC2' and tract=4431 and patch IN(9,10,16,17) and band='r'" # refcats -python scripts/get_refcats.py +python "${SCRIPT_DIR}/get_refcats.py" # pretrained NN models -python scripts/get_nn_models.py -m rbResnet50-DC2 +python "${SCRIPT_DIR}/get_nn_models.py" -m rbResnet50-DC2 -bash scripts/generate_fake_injection_catalog.sh -b preloaded -o fake-injection-catalog +bash "${SCRIPT_DIR}/generate_fake_injection_catalog.sh" -b preloaded -o fake-injection-catalog # collection chains -butler collection-chain preloaded LSSTCam-imSim/defaults templates/goodSeeing skymaps LSSTCam-imSim/calib \ +butler collection-chain "${DATASET_REPO}" LSSTCam-imSim/defaults templates/goodSeeing skymaps LSSTCam-imSim/calib \ refcats models fake-injection-catalog # make the export file for ap_verify to use -python scripts/make_preloaded_export.py +python "${SCRIPT_DIR}/make_preloaded_export.py" From 59a65bcba695e8fa9e32cbced0080e2effbaee0c Mon Sep 17 00:00:00 2001 From: Krzysztof Findeisen Date: Tue, 8 Oct 2024 11:41:00 -0700 Subject: [PATCH 2/4] Document shell flags in make_preloaded.sh. --- scripts/make_preloaded.sh | 2 ++ 1 file changed, 2 insertions(+) diff --git a/scripts/make_preloaded.sh b/scripts/make_preloaded.sh index cf93695..0abcbfb 100755 --- a/scripts/make_preloaded.sh +++ b/scripts/make_preloaded.sh @@ -1,7 +1,9 @@ #!/usr/bin/bash # Run this file to recreate preloaded into a fresh state. +# Abort script on any error set -e +# Echo all commands set -x SCRIPT_DIR="$( dirname -- "${BASH_SOURCE[0]}" )" From 2db9937cd6ed45992dcbde71463cdd10c8066170 Mon Sep 17 00:00:00 2001 From: Krzysztof Findeisen Date: Thu, 10 Oct 2024 10:51:15 -0700 Subject: [PATCH 3/4] Add script for generating APDB catalogs from internal data. This script takes a long time to run, because it simulates ApPipe execution visit by visit. --- scripts/generate_self_preload.py | 254 +++++++++++++++++++++++++++++++ scripts/make_preloaded.sh | 6 +- 2 files changed, 259 insertions(+), 1 deletion(-) create mode 100644 scripts/generate_self_preload.py diff --git a/scripts/generate_self_preload.py b/scripts/generate_self_preload.py new file mode 100644 index 0000000..2633f48 --- /dev/null +++ b/scripts/generate_self_preload.py @@ -0,0 +1,254 @@ +#!/usr/bin/env python +# This file is part of ap_verify_ci_hits2015. +# +# Developed for the LSST Data Management System. +# This product includes software developed by the LSST Project +# (https://www.lsst.org). +# See the COPYRIGHT file at the top-level directory of this distribution +# for details of code ownership. +# +# This program is free software: you can redistribute it and/or modify +# it under the terms of the GNU General Public License as published by +# the Free Software Foundation, either version 3 of the License, or +# (at your option) any later version. +# +# This program is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the +# GNU General Public License for more details. +# +# You should have received a copy of the GNU General Public License +# along with this program. If not, see . + +"""Script for simulating the APDB preloads generated by associating this +dataset's observations. + +This script assumes visits are processed in ascending numerical order, with no +prior history. Prior sources must be provided through a different script. + +This script requires that all other input datasets are already in preloaded/, +but does not require that export.yaml be up to date. It (or rather, the +pipeline configs) require that the repository be set up. + +This script takes roughly 10 minutes to run on rubin-devl. +""" + +import glob +import logging +import os +import subprocess +import sys +import tempfile + +import lsst.log +from lsst.daf.butler import Butler, CollectionType, MissingCollectionError +import lsst.obs.base +import lsst.dax.apdb + + +logging.basicConfig(level=logging.INFO, stream=sys.stdout) +lsst.log.configure_pylog_MDC("DEBUG", MDC_class=None) + + +# Avoid explicit references to dataset package to maximize portability. +SCRIPT_DIR = os.path.abspath(os.path.dirname(__file__)) +PIPE_DIR = os.path.join(SCRIPT_DIR, "..", "pipelines") +RAW_DIR = os.path.join(SCRIPT_DIR, "..", "raw") +RAW_RUN = "raw" +PRELOAD_TYPES = ["preloaded_*"] +DEST_DIR = os.path.join(SCRIPT_DIR, "..", "preloaded") +DEST_COLLECTION = "dia_catalogs" +DEST_RUN = DEST_COLLECTION + "/apdb" + + +######################################## +# Processing steps + +def _clear_preloaded(butler): + """Remove preloaded datasets from the collection's chain. + + If it exists, ``DEST_RUN`` is removed entirely to keep it from interfering + with the rest of this script. Other runs are merely unlinked in case they + would still be useful. + + Parameters + ---------- + butler : `lsst.daf.butler.Butler` + A writeable Butler pointing to this repository. + """ + try: + butler.collections.redefine_chain(DEST_COLLECTION, []) + except MissingCollectionError: + # No preloaded datasets to begin with + return + butler.removeRuns([DEST_RUN], unstore=True) + + +def _copy_repo_to(src_butler, repo_dir): + """Create a repository that's a copy of this one. + + Parameters + ---------- + src_butler : `lsst.daf.butler.Butler` + A Butler pointing to this repository. + repo_dir : `str` + The directory in which to create the new repository. + + Returns + ------- + butler : `lsst.daf.butler.Butler` + A writeable Butler to the new repo. + """ + # Don't use ap_verify code, to avoid dependency on potentially out-of-date export.yaml + repo_config = Butler.makeRepo(repo_dir) + dest_butler = Butler(repo_config, writeable=True) + logging.debug("Temporary repo has universe version %d.", dest_butler.dimensions.version) + # Use export/import to preserve chained and calibration collections + with tempfile.NamedTemporaryFile(suffix=".yaml") as export_file: + with src_butler.export(filename=export_file.name, transfer=None) as contents: + for t in src_butler.registry.queryDatasetTypes(): + contents.saveDatasets( + src_butler.query_datasets(t, collections="*", find_first=False, explain=False)) + # runs and dimensions included automatically + for coll in src_butler.collections.query("*", include_chains=True): + contents.saveCollection(coll) + dest_butler.import_(directory=DEST_DIR, filename=export_file.name, transfer="auto") + return dest_butler + + +def _ingest_raws(repo, raw_dir, run): + """Ingest this dataset's raws into a specific repo. + + Parameters + --------- + repo : `lsst.daf.butler.Butler` + A writeable Butler for the repository to ingest into. + raw_dir : `str` + The directory containing raw files. + run : `str` + The name of the run into which to import the raws. + """ + raws = glob.glob(os.path.join(raw_dir, '**', '*.fits*'), recursive=True) + ingester = lsst.obs.base.RawIngestTask(butler=repo, config=lsst.obs.base.RawIngestConfig()) + ingester.run(raws, run=run) + exposures = set(repo.registry.queryDataIds(["exposure"])) + definer = lsst.obs.base.DefineVisitsTask(butler=repo, config=lsst.obs.base.DefineVisitsConfig()) + definer.run(exposures) + + +def _check_pipeline(butler): + """Confirm that the pipeline is correctly configured. + + Parameters + ---------- + butler : `lsst.daf.butler.Butler` + A Butler pointing to this repository. + """ + pipeline_file = os.path.join(PIPE_DIR, "ApPipe.yaml") + pipeline = lsst.pipe.base.Pipeline.fromFile(pipeline_file) + pipeline.addConfigOverride("parameters", "apdb_config", "foo") + # Check that the configs load correctly; raises if there's a setup missing + pipeline.to_graph() + + +def _build_catalogs(repo_dir, input_collections, output_collection): + """Simulate an AP pipeline run. + + Parameters + ---------- + repo_dir : `str` + The repository on which to run the task. + input_collections : iterable [`str`] + The collection containing inputs. + output_collection : `str` + The collection into which to generate preloaded catalogs. + + Raises + ------ + RuntimeError + Raised on any pipeline failure. + """ + # Should be only one instrument + butler = Butler(repo_dir) + instrument = butler.query_data_ids("instrument")[0]["instrument"] + visits = [coord["visit"] for coord in butler.query_data_ids("visit")] + pipeline_file = os.path.join(PIPE_DIR, "ApPipe.yaml") + + # Create temporary APDB + apdb_location = f"sqlite:///{repo_dir}/apdb.db" + logging.debug("Creating apdb at %s...", apdb_location) + apdb_config = lsst.dax.apdb.ApdbSql.init_database(db_url=apdb_location) + + with tempfile.NamedTemporaryFile(suffix=".py") as config_file: + apdb_config.save(config_file.name) + + # Guarantee execution in observation order + run_exists = False + for visit in sorted(visits): + logging.info("Generating catalogs for visit %d...", visit) + pipeline_args = ["pipetask", "run", + "--butler-config", repo_dir, + "--pipeline", pipeline_file, + "--config", f"parameters:apdb_config='{config_file.name}'", + "--input", ",".join(input_collections), + # Can reuse collection as long as data IDs don't overlap + "--output-run", output_collection, + "--data-query", f"instrument='{instrument}' and visit={visit}", + "--processes", "6", + "--register-dataset-types", + ] + if run_exists: + pipeline_args.append("--extend-run") + results = subprocess.run(pipeline_args, capture_output=False, shell=False, check=False) + run_exists = True + if results.returncode: + raise RuntimeError("Pipeline failed to run; see log for details.") + + +def _transfer_catalogs(catalog_types, src_repo, run, dest_repo): + """Copy preloaded catalogs between two repositories. + + Parameters + ---------- + catalog_types : iterable [`str`] + A query expression for dataset types for preloaded catalogs. + src_repo : `lsst.daf.butler.Butler` + The repository from which to copy the datasets. + run : `str` + The name of the run containing the catalogs in both ``src_repo`` + and ``dest_repo``. + dest_repo : `lsst.daf.butler.Butler` + The repository to which to copy the datasets. + """ + expanded_types = src_repo.registry.queryDatasetTypes(catalog_types) + datasets = set() + for t in expanded_types: + datasets.update(src_repo.query_datasets(t, collections=run, explain=False)) + dest_repo.transfer_from(src_repo, datasets, transfer="copy", + register_dataset_types=True, transfer_dimensions=True) + + +######################################## +# Put everything together + +preloaded = Butler(DEST_DIR, writeable=True) +_check_pipeline(preloaded) +logging.info("Removing old catalogs...") +_clear_preloaded(preloaded) +logging.info("Creating temporary repository...") +with tempfile.TemporaryDirectory() as workspace: + temp_repo = _copy_repo_to(preloaded, workspace) + logging.info("Ingesting raws...") + _ingest_raws(temp_repo, RAW_DIR, RAW_RUN) + logging.info("Simulating DIA analysis...") + inst_name = temp_repo.query_data_ids("instrument")[0]["instrument"] + instrument = lsst.obs.base.Instrument.fromName(inst_name, temp_repo.registry) + _build_catalogs(workspace, [RAW_RUN, instrument.makeUmbrellaCollectionName()], DEST_RUN) + temp_repo.registry.refresh() # Pipeline added dataset types + logging.debug("Preloaded repo has universe version %d.", preloaded.dimensions.version) + logging.info("Transferring catalogs to data set...") + _transfer_catalogs(PRELOAD_TYPES, temp_repo, DEST_RUN, preloaded) +preloaded.collections.register(DEST_COLLECTION, CollectionType.CHAINED) +preloaded.collections.prepend_chain(DEST_COLLECTION, DEST_RUN) + +logging.info("Preloaded APDB catalogs copied to %s:%s", DEST_DIR, DEST_COLLECTION) diff --git a/scripts/make_preloaded.sh b/scripts/make_preloaded.sh index 0abcbfb..265f5f2 100755 --- a/scripts/make_preloaded.sh +++ b/scripts/make_preloaded.sh @@ -25,11 +25,15 @@ python "${SCRIPT_DIR}/get_refcats.py" # pretrained NN models python "${SCRIPT_DIR}/get_nn_models.py" -m rbResnet50-DC2 +# Precomputed fake sources bash "${SCRIPT_DIR}/generate_fake_injection_catalog.sh" -b preloaded -o fake-injection-catalog +# Preloaded APDB catalogs +python "${SCRIPT_DIR}/generate_self_preload.py" + # collection chains butler collection-chain "${DATASET_REPO}" LSSTCam-imSim/defaults templates/goodSeeing skymaps LSSTCam-imSim/calib \ - refcats models fake-injection-catalog + refcats dia_catalogs models fake-injection-catalog # make the export file for ap_verify to use python "${SCRIPT_DIR}/make_preloaded_export.py" From 0613ec9a12b2cbbdcb64a9b39e7ad88ffd9bd942 Mon Sep 17 00:00:00 2001 From: Krzysztof Findeisen Date: Thu, 10 Oct 2024 10:53:48 -0700 Subject: [PATCH 4/4] Add preloaded APDB catalogs. These catalogs are generated visit-by-visit from scratch, so the visit 943296 catalogs are empty. --- README.md | 3 +- config/export.yaml | 103 ++++++++++++++++++ doc/ap_verify_ci_dc2/index.rst | 2 +- ...mSim_943296_R41_S20_dia_catalogs_apdb.parq | Bin 0 -> 8885 bytes ...mSim_982985_R41_S02_dia_catalogs_apdb.parq | Bin 0 -> 19523 bytes ...mSim_943296_R41_S20_dia_catalogs_apdb.parq | Bin 0 -> 103268 bytes ...mSim_982985_R41_S02_dia_catalogs_apdb.parq | Bin 0 -> 132726 bytes ...mSim_943296_R41_S20_dia_catalogs_apdb.parq | Bin 0 -> 76155 bytes ...mSim_982985_R41_S02_dia_catalogs_apdb.parq | Bin 0 -> 112224 bytes preloaded/gen3.sqlite3 | Bin 1576960 -> 1626112 bytes 10 files changed, 106 insertions(+), 2 deletions(-) create mode 100644 preloaded/dia_catalogs/apdb/preloaded_diaForcedSources/943296/preloaded_diaForcedSources_LSSTCam-imSim_943296_R41_S20_dia_catalogs_apdb.parq create mode 100644 preloaded/dia_catalogs/apdb/preloaded_diaForcedSources/982985/preloaded_diaForcedSources_LSSTCam-imSim_982985_R41_S02_dia_catalogs_apdb.parq create mode 100644 preloaded/dia_catalogs/apdb/preloaded_diaObjects/943296/preloaded_diaObjects_LSSTCam-imSim_943296_R41_S20_dia_catalogs_apdb.parq create mode 100644 preloaded/dia_catalogs/apdb/preloaded_diaObjects/982985/preloaded_diaObjects_LSSTCam-imSim_982985_R41_S02_dia_catalogs_apdb.parq create mode 100644 preloaded/dia_catalogs/apdb/preloaded_diaSources/943296/preloaded_diaSources_LSSTCam-imSim_943296_R41_S20_dia_catalogs_apdb.parq create mode 100644 preloaded/dia_catalogs/apdb/preloaded_diaSources/982985/preloaded_diaSources_LSSTCam-imSim_982985_R41_S02_dia_catalogs_apdb.parq diff --git a/README.md b/README.md index dbbc2c2..de5f784 100644 --- a/README.md +++ b/README.md @@ -19,7 +19,7 @@ path | description `raw` | Raw ImSim exposures. `config` | Dataset-specific configs to help the Science Pipelines work with this dataset, including the butler `export.yaml` file used by `ap_verify.py` `pipelines` | To be populated with dataset-specific pipelines. Currently contains three example files specialized for ImSim data. -`preloaded` | Starter Butler repo containing a skymap, calibs, coadds to use as difference imaging templates, ImSim refcats covering the relevant sky region, and a pretrained machine learning model for real/bogus classification. +`preloaded` | Starter Butler repo containing a skymap, calibs, coadds to use as difference imaging templates, ImSim refcats covering the relevant sky region, mock APDB outputs based on the raw images, and a pretrained machine learning model for real/bogus classification. `scripts` | Scripts for regenerating this dataset. Butler Collections @@ -33,6 +33,7 @@ collection | description `refcats` | Level 7 HTM shards from relevant reference catalogs. `skymaps` | Skymaps for the template coadds. `templates/` | Coadd images produced by a compatible version of the LSST pipelines. For example, `deepCoadd` images go in a `templates/deep` collection. +`dia_catalogs` | Catalogs representing the contents of the APDB at the start of each visit. `models` | Pretrained machine learning models. `/defaults` | A chained collection linking all of the above. diff --git a/config/export.yaml b/config/export.yaml index 7cec726..634f7d4 100644 --- a/config/export.yaml +++ b/config/export.yaml @@ -1158,6 +1158,13 @@ data: name_in_raft: S22 raft: R43 purpose: SCIENCE +- type: dimension + element: group + records: + - instrument: LSSTCam-imSim + name: '943296' + - instrument: LSSTCam-imSim + name: '982985' - type: dimension element: physical_filter records: @@ -1232,6 +1239,12 @@ data: host: null timespan_begin: null timespan_end: null +- type: collection + collection_type: RUN + name: dia_catalogs/apdb + host: null + timespan_begin: null + timespan_end: null - type: collection collection_type: RUN name: fake-injection-catalog @@ -1268,6 +1281,11 @@ data: children: - 2.2i/calib/gen2 - LSSTCam-imSim/calib/curated +- type: collection + collection_type: CHAINED + name: dia_catalogs + children: + - dia_catalogs/apdb - type: collection collection_type: CHAINED name: models @@ -1291,6 +1309,7 @@ data: - skymaps - LSSTCam-imSim/calib - refcats + - dia_catalogs - models - fake-injection-catalog - type: dataset_type @@ -2818,6 +2837,90 @@ data: htm7: 147160 path: fake-injection-catalog/injection_catalog/r/injection_catalog_r_147160_fake-injection-catalog.parq formatter: lsst.daf.butler.formatters.parquet.ParquetFormatter +- type: dataset_type + name: preloaded_diaForcedSources + dimensions: + - instrument + - detector + - group + storage_class: DataFrame + is_calibration: false +- type: dataset + dataset_type: preloaded_diaForcedSources + run: dia_catalogs/apdb + records: + - dataset_id: + - !uuid 'a6b02083-0049-4e7b-9fb3-5d582088dd1b' + data_id: + - instrument: LSSTCam-imSim + detector: 168 + group: '943296' + path: dia_catalogs/apdb/preloaded_diaForcedSources/943296/preloaded_diaForcedSources_LSSTCam-imSim_943296_R41_S20_dia_catalogs_apdb.parq + formatter: lsst.daf.butler.formatters.parquet.ParquetFormatter + - dataset_id: + - !uuid '8bb1f479-50e1-403f-bfcd-8e7e2e4524df' + data_id: + - instrument: LSSTCam-imSim + detector: 164 + group: '982985' + path: dia_catalogs/apdb/preloaded_diaForcedSources/982985/preloaded_diaForcedSources_LSSTCam-imSim_982985_R41_S02_dia_catalogs_apdb.parq + formatter: lsst.daf.butler.formatters.parquet.ParquetFormatter +- type: dataset_type + name: preloaded_diaObjects + dimensions: + - instrument + - detector + - group + storage_class: DataFrame + is_calibration: false +- type: dataset + dataset_type: preloaded_diaObjects + run: dia_catalogs/apdb + records: + - dataset_id: + - !uuid '723aa650-698b-40d6-b01a-4002b9921ebd' + data_id: + - instrument: LSSTCam-imSim + detector: 168 + group: '943296' + path: dia_catalogs/apdb/preloaded_diaObjects/943296/preloaded_diaObjects_LSSTCam-imSim_943296_R41_S20_dia_catalogs_apdb.parq + formatter: lsst.daf.butler.formatters.parquet.ParquetFormatter + - dataset_id: + - !uuid 'be1c1cad-b7e1-4e2f-b0f2-0ec5c66456a5' + data_id: + - instrument: LSSTCam-imSim + detector: 164 + group: '982985' + path: dia_catalogs/apdb/preloaded_diaObjects/982985/preloaded_diaObjects_LSSTCam-imSim_982985_R41_S02_dia_catalogs_apdb.parq + formatter: lsst.daf.butler.formatters.parquet.ParquetFormatter +- type: dataset_type + name: preloaded_diaSources + dimensions: + - instrument + - detector + - group + storage_class: DataFrame + is_calibration: false +- type: dataset + dataset_type: preloaded_diaSources + run: dia_catalogs/apdb + records: + - dataset_id: + - !uuid '0b0b85ec-7509-4192-aeb4-3b569aae490f' + data_id: + - instrument: LSSTCam-imSim + detector: 168 + group: '943296' + path: dia_catalogs/apdb/preloaded_diaSources/943296/preloaded_diaSources_LSSTCam-imSim_943296_R41_S20_dia_catalogs_apdb.parq + formatter: lsst.daf.butler.formatters.parquet.ParquetFormatter + - dataset_id: + - !uuid '0bbf567e-70a0-43bd-be4a-acf0775e09a7' + data_id: + - instrument: LSSTCam-imSim + detector: 164 + group: '982985' + path: dia_catalogs/apdb/preloaded_diaSources/982985/preloaded_diaSources_LSSTCam-imSim_982985_R41_S02_dia_catalogs_apdb.parq + formatter: lsst.daf.butler.formatters.parquet.ParquetFormatter - type: dataset_type name: pretrainedModelPackage dimensions: [] diff --git a/doc/ap_verify_ci_dc2/index.rst b/doc/ap_verify_ci_dc2/index.rst index 3bd9a67..af299d6 100644 --- a/doc/ap_verify_ci_dc2/index.rst +++ b/doc/ap_verify_ci_dc2/index.rst @@ -20,7 +20,7 @@ The input data were chosen arbitrarily, so they are not even suitable for testin Dataset contents ================ -The ``preloaded/`` butler repo contains two overlapping exposures of ``LSSTCam-imSim`` from DC2 ``tract=4431``, with ``patches=(9,10,16,17)``, ``goodSeeingCoadd`` datasets for those patches to make templates from, DC2 refcats covering that region, and skymaps, calibrations, and pretrained ML models necessary to process the data. +The ``preloaded/`` butler repo contains two overlapping exposures of ``LSSTCam-imSim`` from DC2 ``tract=4431``, with ``patches=(9,10,16,17)``, ``goodSeeingCoadd`` datasets for those patches to make templates from, DC2 refcats covering that region, and skymaps, calibrations, mock APDB outputs based on the raw images, and pretrained ML models necessary to process the data. * visit=982985, detector=164 * visit=943296, detector=168 diff --git a/preloaded/dia_catalogs/apdb/preloaded_diaForcedSources/943296/preloaded_diaForcedSources_LSSTCam-imSim_943296_R41_S20_dia_catalogs_apdb.parq b/preloaded/dia_catalogs/apdb/preloaded_diaForcedSources/943296/preloaded_diaForcedSources_LSSTCam-imSim_943296_R41_S20_dia_catalogs_apdb.parq new file mode 100644 index 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