Wheelodex » Projects » speedyfit

speedyfit

View on PyPI — Reverse Dependencies (0)

0.2.4 speedyfit-0.2.4-py3-none-any.whl

Wheel Details

Project: speedyfit
Version: 0.2.4
Filename: speedyfit-0.2.4-py3-none-any.whl
Download: [link]
Size: 444038
MD5: 5f386c69f20cc0bffb7e69799b5ce8df
SHA256: 37ef4e34b19b35b0ce8df708d0853c1c93450d775742d5e8c5566ffd87c4e9c0
Uploaded: 2023-04-19 09:04:48 +0000

dist-info

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

METADATA

Metadata-Version: 2.1
Name: speedyfit
Version: 0.2.4
Summary: MC approach to fit photometric SEDs
Author: Joris Vos
Author-Email: joris.vos[at]uv.cl
Home-Page: https://github.com/vosjo/speedyfit
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering :: Astronomy
Requires-Python: >=3.7
Requires-Dist: numpy
Requires-Dist: emcee
Requires-Dist: astropy (>=5.1)
Requires-Dist: astroquery
Requires-Dist: pyvo (>=1.4)
Requires-Dist: matplotlib
Requires-Dist: pyaml
Requires-Dist: corner
Requires-Dist: tqdm
Requires-Dist: scipy
Requires-Dist: h5py
Requires-Dist: pandas
Requires-Dist: gaiadr3-zeropoint
Description-Content-Type: text/markdown
[Description omitted; length: 1247 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.40.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
speedyfit/__init__.py sha256=OpHTn6Y8R74IEp7J0RqxeD3tQ3k8Dk6gl1el9ZAjr3I 156
speedyfit/calibration.py sha256=tgJxL1NHu28aYoVT2zqxST2Gvlz0G9t3tyIHyAmmpic 1622
speedyfit/default_setup.py sha256=IErkbaz_KjlIIPtKdnfo8_KxNBxt0o4Shyibqjp6CM8 4110
speedyfit/fileio.py sha256=MAiSbTgmwvX_6y2pxlcJL3QJ45bJkZqAtgS8lIDvCks 15448
speedyfit/filters.py sha256=yC8pkai51npxxYULiI_oAlJJWib1AfDZ-lgxuIK3suo 7247
speedyfit/integrate_grid.py sha256=bEO_UDK_u6Aa8Tn3JurGzOxx_hwGNXoFoh-ipjGmXwE 13734
speedyfit/interpol.py sha256=jZOldwMDhPaA1RcFtI2nYKgnNfmGV_jToZuak-zd19c 5149
speedyfit/main.py sha256=DnYafOqW_0VUZhpQDC--IKoHcOLZqfA-3ndp1w7nQRQ 20080
speedyfit/mcmc.py sha256=1cQ1LWTXLuAPqrQn4qZaQMkCWVtsrvN6pQaCN7dQsZo 7239
speedyfit/model.py sha256=Lpres2MD0_2Iu7qPpoGmv_C6dx2VWTIeLB15mATJFyg 15773
speedyfit/photometry_query.py sha256=b_R8TjIxgKPKi-RpCk34SBrf59bhK_Yo2itJuMfrUIQ 14343
speedyfit/plotting.py sha256=p8kY1TboDYtTo-LmUB7GyCfU_2_EBlFJANPrTH9GzS8 11273
speedyfit/reddening.py sha256=Cu6jqhE3sOvf8YrQUcyFp7jsSW5SkF1X9eaFftxA_1I 11903
speedyfit/speedyfit_batch.py sha256=Gq473FnXuZxV1LcMfZjzAf17lZJlq3qX0MYGYDlZy2E 7816
speedyfit/statfunc.py sha256=UFl2bv0xeL_nIHz6fNrIi92Xuf-DfETlpn2_Q0Iij9Q 14504
speedyfit/tap_cats_phot.cfg sha256=B4tOqkp_p9WjlcIH2WAfuuH_Zv-ATz1ZoFTIiqNSS2w 1505
speedyfit/utils.py sha256=Hp9XqobcSyIcDY3pvz5BhhJA79tDX0jf2x8rR7KvwFY 1024
speedyfit/vizier_cats_phot.cfg sha256=80jFAa4BStVxVVC2doYJGr2SOLfyt-uHYDikBVz9XGY 16864
speedyfit/zeropoints.dat sha256=lLdLYCJU31K8YYyuoQiyHTMgJCE3_lblwF-PKYlm_14 68312
speedyfit/redlaws/Chiar2006.red sha256=zm2W-l_6xyGtzSrg6vpnSk8DX0S5K8xwbBNPAsaehGI 6135
speedyfit/redlaws/Fitzpatrick1999_Rv_2_1.red sha256=o9tebUyR-5FduswVMfgAvgFOBRZlzH-sWT6iY3KPScw 466871
speedyfit/redlaws/Fitzpatrick1999_Rv_3_1.red sha256=Ne-J6-xJ_GzcPt99afr4zN2uLd9-9oAljnyV-LqoWaM 466849
speedyfit/redlaws/Fitzpatrick1999_Rv_5_0.red sha256=x-jttKdv9pQCFmpXzH9pRVOJRmLjjmz9A7_2_lYBHSw 466860
speedyfit/redlaws/Fitzpatrick2004_Rv_2.1.red sha256=2mu163CXfeOQW-NerZtcvj223CjnjktsN73LQID-jL8 2475
speedyfit/redlaws/Fitzpatrick2004_Rv_2.2.red sha256=A5SyM8oQtsRTBvF6XnlItaWdYv-9MSI4-fXw_mnwyMA 2475
speedyfit/redlaws/Fitzpatrick2004_Rv_2.3.red sha256=oaRdOwQjYUdtWIfNjRH9Z3z3MOdDmV-Wxq-LGOeZUQA 2475
speedyfit/redlaws/Fitzpatrick2004_Rv_2.4.red sha256=AnRXrDogd083iT8hdpBIiCS4WSF0UytzXbQYcrVmYiY 2475
speedyfit/redlaws/Fitzpatrick2004_Rv_2.5.red sha256=bj84d_lrK0qXqauKCWHnMDIuxdFXNKHFhKT7sAIjiDI 2475
speedyfit/redlaws/Fitzpatrick2004_Rv_2.6.red sha256=Ll4XcPP0egyKP4Yzkoyls3J3n0y_WFkHieuqXenIvuo 2475
speedyfit/redlaws/Fitzpatrick2004_Rv_2.7.red sha256=e5I3evROqaHyEFheBa_gjqOnMDzWsadi6DC4AyMECgw 2475
speedyfit/redlaws/Fitzpatrick2004_Rv_2.8.red sha256=srGo8EXHwR1GbUO18cISExWx3BM4ohS2FoCsR4vaH_M 2475
speedyfit/redlaws/Fitzpatrick2004_Rv_2.9.red sha256=Q4LiPXm24SbgvNEk8vnmdWxThMvngMjD7Rc8XASeWdo 2475
speedyfit/redlaws/Fitzpatrick2004_Rv_3.0.red sha256=5_WHemZzru20D92e23dFhladsQ7dDk5oVl8Y-CLG9t4 2475
speedyfit/redlaws/Fitzpatrick2004_Rv_3.1.red sha256=Eb0NOlpNzpZ9fmCtmv7xgCLh410KVfzn3TLFoFPx4Xc 2475
speedyfit/redlaws/Fitzpatrick2004_Rv_3.2.red sha256=2VTj-t73B0Ci1MXD8dc92k_sQV0V_X37j0Wb_m-8e6s 2475
speedyfit/redlaws/Fitzpatrick2004_Rv_3.3.red sha256=DWIdjU1QKIfmCGYl6YRj4GzxeNQVaHgKl9soYw0AgC0 2475
speedyfit/redlaws/Fitzpatrick2004_Rv_3.4.red sha256=V2SjRnHa98kSriFCHM8wy4adLRq47DwlblJZJdPvNoY 2475
speedyfit/redlaws/Fitzpatrick2004_Rv_3.5.red sha256=Gd6OTHyqJNbDNz2htSMLuXMuuPGe1ulAh1YNkDPalZ0 2475
speedyfit/redlaws/Fitzpatrick2004_Rv_3.6.red sha256=E_99WI9uJnZGg_RGTj-w0yTpnkD-nrrG4qCj8XZMVyY 2475
speedyfit/redlaws/Fitzpatrick2004_Rv_3.7.red sha256=PkuYE-mYYTDGSwAZ_BmX3s8j8QizDI2isL5w39XNEnc 2475
speedyfit/redlaws/Fitzpatrick2004_Rv_3.8.red sha256=X10Y-OUCUC7b7fHBlT2qydK4SkoEk2F1kKhSkCtRM_I 2475
speedyfit/redlaws/Fitzpatrick2004_Rv_3.9.red sha256=lGRfTYqS2VvAIXVswSrSND2G5dAaUYKXBysP-RHsmZc 2475
speedyfit/redlaws/Fitzpatrick2004_Rv_4.0.red sha256=PRxyKx4R9lsqC6F8kCaKBZzY529qrUWC9JgxiBE4PUw 2475
speedyfit/redlaws/Fitzpatrick2004_Rv_4.1.red sha256=A0NmHPh03T78Fxaaj40Gvme6UVWC1RQIr2n9igj3d3Q 2475
speedyfit/redlaws/Fitzpatrick2004_Rv_4.2.red sha256=MREmyb_S4Hc4QaTP9wAZ2oFVwkfySKVX0hwDYOBhhaQ 2475
speedyfit/redlaws/Fitzpatrick2004_Rv_4.3.red sha256=Y67wmHmKyYhUF6HryMI7mDVJK9Mit9LrbniRd9VxXfo 2475
speedyfit/redlaws/Fitzpatrick2004_Rv_4.4.red sha256=MncCFUzesU-nXtQgG_AmAA-WWXC88XSFd7N88DivsuA 2475
speedyfit/redlaws/Fitzpatrick2004_Rv_4.5.red sha256=6MNrPk6EncrvVcqxy5qF9zo06mMVREppuvIZ69L7dls 2475
speedyfit/redlaws/Fitzpatrick2004_Rv_4.6.red sha256=X3CvObF7xQyiGwPFCL1WWLLfFuJz5kMMvI10fE7XHzw 2475
speedyfit/redlaws/Fitzpatrick2004_Rv_4.7.red sha256=oSYEHprkJUhilZCtPN4rTnezdvZfLVMHbtxDzpAEWSA 2475
speedyfit/redlaws/Fitzpatrick2004_Rv_4.8.red sha256=l_56iHB2Sg7ckVl5Tz84Mpq2hmTCMbu19ZkZ6TqLLJA 2475
speedyfit/redlaws/Fitzpatrick2004_Rv_4.9.red sha256=M0AjVJwzlvnjsjP8NXQNzZbSp51viYEFCMBYszO4pdE 2475
speedyfit/redlaws/Fitzpatrick2004_Rv_5.0.red sha256=MmvXhpi6Zd4mxuqpyN30C1Gn1dIwGVAaPbiNn4cMcyc 2475
speedyfit/redlaws/Fitzpatrick2004_Rv_5.1.red sha256=jIbdo2QJqk4-iuQXLQN7-RAhysjPwnXOgHA8XAkCd5k 2475
speedyfit/redlaws/Fitzpatrick2004_Rv_5.2.red sha256=AlYbpJp_cdV7m3g7gfoaJpEbqhzPHCi3opcdZdqvZoA 2475
speedyfit/redlaws/Fitzpatrick2004_Rv_5.3.red sha256=LV7RLKp-5cgRkGYQBHukvG4BxO0TJ-OGBW1xIzRgJl4 2475
speedyfit/redlaws/Fitzpatrick2004_Rv_5.4.red sha256=5ktqnwb_-G5A-N16-Z0ZYyb5pWFaOasRgYY1Suav7NY 2475
speedyfit/redlaws/Fitzpatrick2004_Rv_5.5.red sha256=7AfXQ51MQEJMiR8_YhLFHY5i7hvGq0VIJolaMNyZkg0 2475
speedyfit/tests/__init__.py sha256=4W8VliAYUP1KY2gLJ_YDy2TmcXYVm-PY7XikQD_bFwA 2
speedyfit/tests/test_fileio.py sha256=7p_k6JX5oUqqYxnsTPp2KfUvyj9sWZKS-Yv6OKmu7rY 1673
speedyfit/tests/test_mcmc.py sha256=BJkyBPfShH6KKPlD_64Dn69BuQORmIpgUxFRyQT4ag0 2761
speedyfit/tests/test_model.py sha256=PiGOXKPCjRRlIEbNVtuaypxAyOx-zmdiY831hsXcoSs 9353
speedyfit/tests/test_photometry_query.py sha256=gkjnNimKByT1OlXkSxppEaJnHIny2scXxfXm5zdjq1k 251
speedyfit/tests/test_speedyfit_batch.py sha256=QVT0yrKENXVD5TN7N3noJzfFSqTJ7PXcRCT0Y1oJNQI 1651
speedyfit/tests/test_statfunc.py sha256=9rTjpcyncDA6229EyxAXA8VGF2B0IHI4GfQF-o5H8T0 1893
speedyfit-0.2.4.dist-info/LICENSE sha256=WJ7YI-moTFb-uVrFjnzzhGJrnL9P2iqQe8NuED3hutI 35141
speedyfit-0.2.4.dist-info/METADATA sha256=c_kFsODYeX_5CSKliquD31LUNVuVtyMtd3kAQ2XKq90 2170
speedyfit-0.2.4.dist-info/WHEEL sha256=pkctZYzUS4AYVn6dJ-7367OJZivF2e8RA9b_ZBjif18 92
speedyfit-0.2.4.dist-info/entry_points.txt sha256=cOCDWFBwVXMCNneBGfb0KmilmMMzpjATynD-kc8BnBw 100
speedyfit-0.2.4.dist-info/top_level.txt sha256=PeH6qI7clcQwOHLhahQiLTPRICliq7a01uvy03JuLT8 10
speedyfit-0.2.4.dist-info/RECORD — —

top_level.txt

speedyfit

entry_points.txt

[console_scripts]
speedyfit = speedyfit.main:main
speedyfit-batch = speedyfit.speedyfit_batch:main