Core support for DataModel classes used in calibration pipelines

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for dencheva from gravatar.com dencheva Avatar for stscieisenhamer from gravatar.com stscieisenhamer Avatar for stsci_maintainer from gravatar.com stsci_maintainer Avatar for stsci_ssb from gravatar.com stsci_ssb

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: BSD License (Copyright (C) 2020 Association of Universities for Research in Astronomy (AURA) Redistribution and ...)
  • Author: STScI
  • Requires: Python >=3.10
  • Provides-Extra: docs, test
Classifiers

Project description

stdatamodels

CI

codecov

Provides DataModel, which is the base class for data models implemented in the JWST and Roman calibration software.

Unit Tests

A few unit tests require downloading (~500MB) data from CRDS. CRDS must be configured for these tests to pass (see the CRDS User Guide for more information). Minimally (if not on the stsci vpn where the default path of /grp/crds/cache is available) you will need to set CRDS_PATH.

export CRDS_PATH=/tmp/crds_cache/jwst_ops

These tests can also be skipped with the no-crds pytest option

pytest --no-crds

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for dencheva from gravatar.com dencheva Avatar for stscieisenhamer from gravatar.com stscieisenhamer Avatar for stsci_maintainer from gravatar.com stsci_maintainer Avatar for stsci_ssb from gravatar.com stsci_ssb

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: BSD License (Copyright (C) 2020 Association of Universities for Research in Astronomy (AURA) Redistribution and ...)
  • Author: STScI
  • Requires: Python >=3.10
  • Provides-Extra: docs, test
Classifiers

Release history Release notifications | RSS feed

2.1.2

2.1.1

2.1.0

This version

2.0.0

1.10.1

1.10.0

1.9.1

1.9.0

1.8.4

1.8.3

1.8.2

1.8.1

1.8.0

1.7.2

1.7.1

1.7.0

1.6.0

1.5.0

1.4.0

1.3.1

1.3.0

1.2.0

1.1.0

1.0.0

0.4.5

0.4.4

0.4.3

0.4.2

0.4.1

0.4.0

0.3.0

0.2.4

0.2.3

0.2.2

0.2.1

0.2.0

0.1.0

0.0.0

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

stdatamodels-2.0.0.tar.gz (476.9 kB view details)

Uploaded Source

Built Distribution

stdatamodels-2.0.0-py3-none-any.whl (316.2 kB view details)

Uploaded Python 3

File details

Details for the file stdatamodels-2.0.0.tar.gz.

File metadata

  • Download URL: stdatamodels-2.0.0.tar.gz
  • Upload date:
  • Size: 476.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for stdatamodels-2.0.0.tar.gz
Algorithm Hash digest
SHA256 b5ee6edff16493e889530005705e9512f055ce4e2d9b6f4cd8339cfd83eb8728
MD5 33d2c2834b86f7e2c22a402656f1668e
BLAKE2b-256 1c771d73ccf93410bd4f705bd4d6e5b4c217d6f62d4f2d1b4e23f0413701d52c

See more details on using hashes here.

File details

Details for the file stdatamodels-2.0.0-py3-none-any.whl.

File metadata

  • Download URL: stdatamodels-2.0.0-py3-none-any.whl
  • Upload date:
  • Size: 316.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for stdatamodels-2.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 6fcd76d12432233ef5277d8ab2dbcdb31d255caab6dbab789777149c51bf2708
MD5 524ef66598b972e7bb5a08e66b7fc83c
BLAKE2b-256 059328bcf67a85af63d492ad2e09ee2bc3e14a5ba81496caee89b068f13c35c9

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page