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snowblind

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0.2.1 snowblind-0.2.1-py3-none-any.whl

Wheel Details

Project: snowblind
Version: 0.2.1
Filename: snowblind-0.2.1-py3-none-any.whl
Download: [link]
Size: 12013
MD5: fea6cfbd75c650a80b57edc6ba12ddd2
SHA256: df431a6a2491caae5c66b492ec54c88b898ec72d4da9386bf6916e817f01b228
Uploaded: 2023-12-13 09:57:51 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: snowblind
Version: 0.2.1
Summary: Mask cosmic ray showers (snowballs) in JWST data
Author-Email: James Davies <jdavies[at]mpia.de>
Project-Url: Bug Tracker, https://github.com/mpi-astronomy/snowblind/issues
Project-Url: Source Code, https://github.com/mpi-astronomy/snowblind
License: BSD 3-Clause License Copyright (c) 2023, Max Planck Institute for Astronomy All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.9
Requires-Dist: jwst
Requires-Dist: numpy
Requires-Dist: scikit-image (>=0.20.0)
Requires-Dist: stpipe
Requires-Dist: sphinx; extra == "docs"
Requires-Dist: sphinx-automodapi; extra == "docs"
Requires-Dist: numpydoc; extra == "docs"
Requires-Dist: pytest; extra == "test"
Requires-Dist: flake8; extra == "test"
Requires-Dist: flake8-pyproject; extra == "test"
Requires-Dist: codecov; extra == "test"
Requires-Dist: pytest-cov; extra == "test"
Provides-Extra: docs
Provides-Extra: test
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 1372 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.42.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
snowblind/__init__.py sha256=3BksZPp_hriWFNoIDZaApumbicr9Gneo_T0s1L8WGJQ 708
snowblind/_version.py sha256=MxUhzLJIZQfEpDTTcKSxciTGrMLd5v2VmMlHa2HGeo0 411
snowblind/jump_plus.py sha256=mqmJe2rNBr5z2_5TrYQ7WKF1ETMVw174jDM4aubU1hE 2301
snowblind/persist.py sha256=4P8WiOIytvCOS1AFitEhR6zv6GxV0IRPtikRUKCSSsM 5217
snowblind/rc_selfcal.py sha256=QLPhbyilm8FEm-7ftd6TMJcIj1fDjG9AlciFAfJwlzU 4112
snowblind/snowblind.py sha256=2ldgNyKO2vicDcksfLOQ5o6mH9RAMQZV7FZ4ZwwTzqc 7261
snowblind-0.2.1.dist-info/LICENSE sha256=p19XIQQYbC02PkD1jYSsE7chPAMBAXA2RdLA7AWZzc4 1543
snowblind-0.2.1.dist-info/METADATA sha256=OqJGMI8GYnU1ypBC846ek1zqlwdtca3dMVBBaDUChCI 4180
snowblind-0.2.1.dist-info/WHEEL sha256=oiQVh_5PnQM0E3gPdiz09WCNmwiHDMaGer_elqB3coM 92
snowblind-0.2.1.dist-info/entry_points.txt sha256=5FLK9h6ZzdNU8T3vAKEq_Wqd8tR7OkFqPrkJjhrDKnw 43
snowblind-0.2.1.dist-info/top_level.txt sha256=Cq3zFBp3XETRIEQ2Vu5AT661_oPCaTGOM3vwEDESDsI 10
snowblind-0.2.1.dist-info/RECORD — —

top_level.txt

snowblind

entry_points.txt

[stpipe.steps]
jwst = snowblind:_get_steps