Wheelodex » Projects » gns » GNS-1.0-py2-none-any.whl

gns

View on PyPI — Reverse Dependencies (0)

1.0 GNS-1.0-py3-none-any.whl
GNS-1.0-py2-none-any.whl

Wheel Details

Project: gns
Version: 1.0
Filename: GNS-1.0-py2-none-any.whl
Download: [link]
Size: 83568
MD5: 85b97ac28d7ccba6912e0e034f640179
SHA256: fa579eea0fbe6e4d8a5c5f5a024417c653ee987ee44718333b2ebc2e94b84014
Uploaded: 2019-10-08 22:39:37 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: GNS
Version: 1.0
Summary: Geometric nested sampling algorithm, as described in https://arxiv.org/abs/1905.09110.
Author: Kamran Javid
Author-Email: kj316[at]mrao.cam.ac.uk
Home-Page: https://github.com/SuperKam91/gns
License: MIT
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2.7
Requires-Python: >=2.7.0
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: pymultinest; extra == "multinest"
Requires-Dist: matplotlib; extra == "plotting"
Requires-Dist: getdist; extra == "plotting"
Requires-Dist: corner; extra == "plotting"
Provides-Extra: multinest
Provides-Extra: plotting
Description-Content-Type: text/markdown
[Description omitted; length: 12432 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.33.1)
Root-Is-Purelib: true
Tag: py2-none-any

RECORD

Path Digest Size
gns/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
gns/array_checks.py sha256=Mhp3Vk6trrwkFmRgalsR6U3gfCSaq61nOXlud6KPBLY 1759
gns/calculations.py sha256=gVfK1Q0pRrcnIb-wwW2dzMdTSQh1D_nngSb84xTUFf4 9536
gns/geom.py sha256=VwtKadga-gyAPuDMlmkM7M_Ni385N9IoW3lc8LZxTHw 12901
gns/geom_plots.py sha256=NewOydMPFsOGNnMA3VSd5m1r3rmjeX8qMD9r4zFIxVg 1407
gns/geom_sampler.py sha256=479AKjvdlsuz4J9eckCT2NctGrQ-Dk6UsLuFvo7cL3g 18443
gns/input.py sha256=IJAkAYodOkOidHQbKj0ByhMJ_DgeDTtJ73YE_JsltZI 1028
gns/keeton_calculations.py sha256=TjEHWdUzdEcWsixxgezvBDglkYPoWMFzGi3WJGeqCaw 13619
gns/main.py sha256=Y1lc3waCK11twgyjhHcGltjTVdLMXtzgKA7QSBqyEMA 214
gns/mn_run.py sha256=yaUtgoUq6tzCIJTnH270SWAfM-0Ju3bfHMo_K_EQwBc 3179
gns/nested_run.py sha256=mSO83uj1u709kKZ8AZAEr8KSWXJuXNjrgkKFKTGoGbU 18912
gns/nested_sampler.py sha256=DSzB-u3Wpb82fg7eIXm984K1KqWryDH99_xPs6h0DD4 86238
gns/ns_end_funcs.py sha256=faV_qwKFneQa-8HCcgLjCfJDd4zrsDxAAfDypaiiC40 8461
gns/ns_loop_funcs.py sha256=G3FaTry-FfThynSIxM9FkC4HzUJ2lHReNA59CqjWlBk 9723
gns/output.py sha256=ZRFvAZLo0Jd06BEh7Gf5PHcM4gw5oMAbsEb6KwEoPlI 10393
gns/plotting.py sha256=kUtgwVvWndSQSwszx1qZaMK1N-swEdLfQPJCOtNrrIU 8633
gns/prob_funcs.py sha256=vywEyqRMkYFnp-LYohDoBTPB3_pyETgV28IfH3ZPAkI 19668
gns/recurrence_calculations.py sha256=HkQ4rYs7YA_uBCiOjog6WE9mtv2Bjc2e6R9uQXbY2_s 9235
gns/samplers.py sha256=OEctn5ZNVVbEaHvSsUK9fmGiQB3GNA2rca8fvBkZrjM 15383
gns/setup_dicts.py sha256=_0Yg8DcbJCWfGT9LIy7Xa-Cbgwv1DdI6iHRfQqcndD4 1536
gns/theoretical_funcs.py sha256=JrY7Ycxj3ySTiXU9CKpM-NIRALheDjJlXAhRCvQeBaY 13618
gns/tools.py sha256=zdBNmvS1QeZtloCeIkieVS-xoe7_PJf3y6d1ahKI0Lw 3452
gns/toy_models.py sha256=V_tiR2YF6It475oFNvueb6hH6XsljtQOcsLzy09IQIk 14604
GNS-1.0.dist-info/LICENSE sha256=zkBZbm64CG9zngEji7LajDsM2d5isgGGyUgBO6Juh_g 1069
GNS-1.0.dist-info/METADATA sha256=ZkXYxcZC9QAQjzMXf8LxLcrJTC7MWNBv00CubCR5Pio 13195
GNS-1.0.dist-info/WHEEL sha256=pqI-DBMA-Z6OTNov1nVxs7mwm6Yj2kHZGNp_6krVn1E 92
GNS-1.0.dist-info/top_level.txt sha256=q_yexCpWRzv963UPFknNPfUIsJoHdAEarEdej7zGd5Q 4
GNS-1.0.dist-info/RECORD — —

top_level.txt

gns