Wheelodex » Projects » gleipnir-ns

gleipnir-ns

View on PyPI — Reverse Dependencies (0)

0.25.0 gleipnir_ns-0.25.0-py3-none-any.whl

Wheel Details

Project: gleipnir-ns
Version: 0.25.0
Filename: gleipnir_ns-0.25.0-py3-none-any.whl
Download: [link]
Size: 55955
MD5: 1aac60a83bf8faa75bb4163d44b4f8ee
SHA256: bf281186700667dbd6a8d1f4bca739f74b7b493ed49b9ade3d84faebc23b0266
Uploaded: 2019-07-26 21:30:35 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: gleipnir-ns
Version: 0.25.0
Summary: Python toolkit for Nested Sampling.
Author: Blake A. Wilson
Author-Email: blakeaw1102[at]gmail.com
Home-Page: https://github.com/LoLab-VU/Gleipnir
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: pandas
Description-Content-Type: text/markdown
[Description omitted; length: 22448 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.33.1)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
gleipnir/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
gleipnir/distributions.py sha256=ZhIlV2wICgU8U60UN5xHkxZHOi5t98j_VrDU2XAQDWc 2134
gleipnir/dnest4.py sha256=RAMET2XFwLk2hOzYnEebKG5McxSidGL88SXmEjEC8A0 13860
gleipnir/dypolychord.py sha256=7zJ0yEx_INy6-v4sa7L_QRf6EgPdA3ZiFzFcBg-kqN0 12966
gleipnir/multinest.py sha256=LkZp3SLPJtT1YYLGmfSkre21wukjEw3QOvrQIqa5JC0 12430
gleipnir/nested_sampling.py sha256=t-VuCcx__cQyA8w8z8d777oHTBNrVbSQjenjOiLnkXk 12825
gleipnir/nestle.py sha256=yYUXfH_sQAfu7T9lMPF70Ncgu44WE7LxM4o-Ypm5-KI 9062
gleipnir/nsbase.py sha256=_FRpVYd-sG-7dSRTRPXHsSx7_mmkaC8l2OsDcch-Hcc 6349
gleipnir/polychord.py sha256=AnV61Nnql7EKPpRJb0slCaQLfGU0vg9tFgICebT8cWU 8816
gleipnir/sampled_parameter.py sha256=SHE1gU7B2Bn53uUo9D-MPa6B3TtRduqwXnFVbzlYFGU 2784
gleipnir/sampler_setup.py sha256=J2rQ5psBHAR-6dOJ7t3wYYK7eK6nZnm8xn4KQS4OUbI 143
gleipnir/samplers.py sha256=H47Y5wWUI88KlioBgfuIX9rKYNgGb7XErzZPUUfrrJU 7181
gleipnir/stopping_criterion.py sha256=I4v7V_YGYSevnEgd7msWn92w_L305nbJax2eOsEVkXk 2131
gleipnir/nestedsampling/__init__.py sha256=LpOZtbFIU_cirKEA-dY93zLWugoBT9Fd2h94clg-Ha0 45
gleipnir/nestedsampling/nested_sampling.py sha256=ZZN2Df42RS6NQ-UWEttKOqZt1gT8O_VjINpIM1E7cdY 15105
gleipnir/nestedsampling/samplers.py sha256=KfFsvuIxEP5REI_HGY3Im5R54YC_4T7ksEBmqOiLmmU 7162
gleipnir/nestedsampling/stopping_criterion.py sha256=hztVWQWP6Le8ZfAHzEPnxfKbWw5Ma2H2hVmQgw9o_Qc 2112
gleipnir/pysb_utilities/__init__.py sha256=1BeyD4pRQGWpL5vMey4Y-SaU4szIUQdaJQva0iZfrtA 314
gleipnir/pysb_utilities/hyp_selector.py sha256=Nu3Xqo1oBBWKs3oQqLYEKeGjvs2Ix5XjsMSzEWHyrEo 12699
gleipnir/pysb_utilities/model_selector.py sha256=vne00WeCnsGd9VuYp0ZXfrXFztC6g75BAvYmXBapR_U 1553
gleipnir/pysb_utilities/nestedsample_it.py sha256=ovRAt7aNf4js3DaOwsMkif1Qo3dvLyHFriTEeegs6bQ 23637
gleipnir/utilities/__init__.py sha256=IGMow0wmXZHDAULm-AQbq4-Cbj5uT6BrUY8uwx0VojA 45
gleipnir/utilities/knn_entropy.py sha256=-EVXh4hKoj2zKy4bUBWYmakmwxS_YicGacRV623laW4 5595
gleipnir_ns-0.25.0.dist-info/LICENSE sha256=MdCAO8zSblCyeVBf2B2zREWULUIWAp5FRnWY4kV8ctg 1091
gleipnir_ns-0.25.0.dist-info/METADATA sha256=Dmyxr3i1u_Tycq6L8dFgeBNCdsv9bQhKE-0dHidwdno 22970
gleipnir_ns-0.25.0.dist-info/WHEEL sha256=U88EhGIw8Sj2_phqajeu_EAi3RAo8-C6zV3REsWbWbs 92
gleipnir_ns-0.25.0.dist-info/top_level.txt sha256=S7iAPwHToW11UXdeDBjhWe3Vh9NR92kdRNpbyKqmrF8 9
gleipnir_ns-0.25.0.dist-info/RECORD — —

top_level.txt

gleipnir