Wheelodex » Projects » anrg.saga » anrg.saga-0.0.10-py3-none-any.whl

anrg.saga

View on PyPI — Reverse Dependencies (0)

0.0.10 anrg.saga-0.0.10-py3-none-any.whl

Wheel Details

Project: anrg.saga
Version: 0.0.10
Filename: anrg.saga-0.0.10-py3-none-any.whl
Download: [link]
Size: 88927
MD5: 1bf6bddc674e2846ea84854ec0e2cf83
SHA256: ea066b31d7fffc894b9361c8994f4bb6be8ed8d9e294d7a56fdee150a8e8161d
Uploaded: 2024-09-27 21:38:39 +0000

dist-info

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

METADATA

Metadata-Version: 2.1
Name: anrg.saga
Version: 0.0.10
Summary: Collection of schedulers for distributed computing
Author: Jared Coleman
Home-Page: https://github.com/ANRGUSC/saga
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Requires-Python: >=3.6
Requires-Dist: networkx
Requires-Dist: numpy
Requires-Dist: matplotlib
Requires-Dist: scipy
Requires-Dist: pandas
Requires-Dist: plotly
Requires-Dist: kaleido
Requires-Dist: pysmt
Requires-Dist: wfcommons
Requires-Dist: streamlit
Requires-Dist: dill
Requires-Dist: joblib (==1.3.2)
Requires-Dist: statsmodels (==0.14.1)
Requires-Dist: seaborn (==0.13.2)
Description-Content-Type: text/markdown
[Description omitted; length: 112 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.41.2)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
saga/__init__.py sha256=LHPEkQX957QKvABZ1K7kyqmLrEkjeDliVPd6lGBvJYs 80
saga/data.py sha256=xP3sBUPj1cO3qIyeqyGXGZprBv_pECsGVmDf5ElDDhQ 28654
saga/hybrid.py sha256=shZFQHVHSAVSIQY9Uly2uMYOiDZZMZZ2o1CjGbKfjaA 1578
saga/scheduler.py sha256=QyMl1npPykJMKlBYEGK6eIW5zcgQlm0tGDIELZvCR0c 1127
saga/pisa/__init__.py sha256=gAndXiYPNgRE17axxileUlkMbB9WfDFVfd_0nAanqL8 7233
saga/pisa/changes.py sha256=guTl6atQt0KEnh_L_95djy3GsKDjefRrBhev7xKuECw 8950
saga/pisa/common.py sha256=FLkUKFhJVIIpikbvbQ1Q_rKVw3wjrPbS-qAeUjU3LUY 5259
saga/pisa/simulated_annealing.py sha256=GZL4P4yjZyadFxPnLRoUdBczjkRPf2J8kfFeFMUMhAk 13388
saga/schedulers/__init__.py sha256=mCNqcajSK-SiQyk9I6ZfoQPlr_GF8eHSdBK0tzhNJuI 760
saga/schedulers/bil.py sha256=8EjsvHxkgYcmkg4YNI199u23BCdFarpdFb-0JqNR-aQ 6022
saga/schedulers/brute_force.py sha256=Z9tCGWgFHvpMzMZqZ2Z3AcIq7RpPxfqt5Vp-xN5Oy7s 2688
saga/schedulers/cpop.py sha256=C3AW9Lk_m5kg7f5df_s7HCBMYHmlyinInqagRsoNcQk 7592
saga/schedulers/dps.py sha256=3--yUSgjiDk_WsCavAbtzyCW0SnCqe14YeeQaVjtxxA 8939
saga/schedulers/duplex.py sha256=LF7G2z0M5sQ6EBNSnurntW3GxUu3CHsrJvNwhPNH3cg 1205
saga/schedulers/etf.py sha256=aUABhbBLnWn_VAIDzvcVb3V2_KVazSaOmogDtyXJxNc 4793
saga/schedulers/fastest_node.py sha256=RCSkWpeDboK2KSHrFWyoi8IZWTk_kuOWzBFFu7pwGxY 2081
saga/schedulers/fcp.py sha256=bMOYh5UqBua29eHDhKOOuKRZn1lwep8oqK3IMsz_8AY 7216
saga/schedulers/flb.py sha256=3O5V--LL5zhxR2CzZTHJaxOVh43anK_J1ijCGr7pFkg 12842
saga/schedulers/gdl.py sha256=u8woCGG3I51ruo4QYxt-iSguEkMujBsHlzRYe0fMNzg 7773
saga/schedulers/hbmct.py sha256=TUywarDVzz5k_KfbIYskDArgVSY3l6r_WhAA_ZSvMK8 17577
saga/schedulers/heft.py sha256=kbKdCiyhvVZF9qe_l9_xwbopv7zrqbMNU-KYBZNX2pk 7235
saga/schedulers/hybrid.py sha256=GhpHX99yua2BvcIoyU4iEsfsRufg5LMHvFzfGt4A1s4 1369
saga/schedulers/maxmin.py sha256=C3TBfBWwKFSDKtNKzny39bSU7reRtW8YP6c3_B9eGok 3521
saga/schedulers/mct.py sha256=LfpCpjXJGborogdK7rABzhKiXQTyPnJHyK49mbwdDDk 2605
saga/schedulers/met.py sha256=cM_9cGRfRsSnrXIyVFuqnPw0duXzhQabkKk520Wkk40 2332
saga/schedulers/minmin.py sha256=uOOGJbRLdMkDa9BcvrMUaSxsVJbEH9QqUEuRhQwxNOA 3437
saga/schedulers/msbc.py sha256=umSBVbOaI6Yp1_DGJeKW3nFXT24wXzzVhmr8txwb2F0 12566
saga/schedulers/olb.py sha256=KyA8oaRXE4rDkzbzEGo9lXahLSqRI5XfRZGYmvTzUvY 2270
saga/schedulers/smt.py sha256=9JEu7xXeKFLH450cTM6UXVJA_P74qfSaIBhLMiS_EUI 8494
saga/schedulers/sufferage.py sha256=jiF6B-BVITpQnHEz46cufy23QpDK7jmYN99X10Nl3Go 3382
saga/schedulers/wba.py sha256=0uCQOh35mUyGTcfHm1t6bFM18MHE39VkGyoRshne4s0 5027
saga/schedulers/data/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
saga/schedulers/data/listvscluster.py sha256=ePOKyOByp9wVCnSU08D6Ht7no9U394X2ZamSzfznMsI 3661
saga/schedulers/data/random.py sha256=U9M3pqBCn5NvY6nXauiEcEGM1hdIYhTmzCvUvAiKJ4o 7498
saga/schedulers/data/riotbench.py sha256=j4dpT4OmcFGfqkJRn8cGJNEp0R4zSS-eVdnwBd8P5i0 13636
saga/schedulers/data/wfcommons.py sha256=2yAxayy1j3WPyFW19DUjN-6Igf8O8DbBh5AxQFMEEdQ 14407
saga/schedulers/parametric/__init__.py sha256=SrdGCyZRsPQFGZnHM-q7hUVZmpuraIxDrpVtUdP41bg 4839
saga/schedulers/parametric/components.py sha256=n1B5Wzk8ufiRazBN5pRUoVHrsuA-0lX0wi7js73PVaI 14156
saga/schedulers/stochastic/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
saga/schedulers/stochastic/determinizer.py sha256=QcsDDrgPThjnlbn5fiLPewx7JXA-pUcUpiJe0GOtxd0 2575
saga/schedulers/stochastic/improved_sheft.py sha256=wKy0e3rrPJdjfr7keBkaB_PgcShH5ld51RyoPTT3Hms 875
saga/schedulers/stochastic/mean_heft.py sha256=vsvSyV17vhTj01VQbx26tS3-tXr-HoPcx3mcmA5zVac 2640
saga/schedulers/stochastic/sheft.py sha256=qYRaozbtBuTm_IAcZOlFBhxBrBYqrqE5yYsTpk-aEm8 2689
saga/schedulers/stochastic/stoch_heft.py sha256=dFwN6nYhb2jY6KInZ--89E8VF4GGhGYPodDm4DboScM 8665
saga/schedulers/stochastic/data/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
saga/schedulers/stochastic/data/random.py sha256=TDl4Vc4tShqLQi-_0_r1Baf2GGSPNqhDdiPxFmM6sks 5252
saga/schedulers/stochastic/data/wfcommons.py sha256=VWTkL3h2Zffn8tiFTm--COgiN_4DkCCGWg0QBCOqHvM 7545
saga/utils/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
saga/utils/draw.py sha256=5aFOPvb8d4Gv1ChUgO5u3BE2oZBe9uDK8OVMXvg0CxY 25115
saga/utils/random_graphs.py sha256=pNR8uEUQQWE8IXjiPoeuHtWpXpFOVb8m5IW9Ifv3Rvk 3625
saga/utils/random_variable.py sha256=G8mOyAk2kkH7TXK2RT0xMb_3Co1NCyvLK3i56QINXqo 10837
saga/utils/simulator.py sha256=swVk8yei6DChHmus2EnDSK_C2b8IUjifejVJy64Xzl8 4940
saga/utils/tools.py sha256=Bi2VuSlxw9wQZCtY_mRX5p7nFo_-HF7U5JI2OCX1P_g 8839
anrg.saga-0.0.10.dist-info/METADATA sha256=hZpA-qY9jOIITCI0pp3WSYV7PLUMV_T2RsTp-Z-DxkQ 1142
anrg.saga-0.0.10.dist-info/WHEEL sha256=yQN5g4mg4AybRjkgi-9yy4iQEFibGQmlz78Pik5Or-A 92
anrg.saga-0.0.10.dist-info/entry_points.txt sha256=1gHuQ454ijHMpO9JrlzR8V2sa6esX7YeDNmsMxZbW3w 85
anrg.saga-0.0.10.dist-info/top_level.txt sha256=h_6UbLx_mtA25p3na-Nx7YZPHyZOOCPjeFbIrgMKj7Q 5
anrg.saga-0.0.10.dist-info/RECORD — —

top_level.txt

saga

entry_points.txt

[console_scripts]
saga_exp_parametric = saga.experiment.benchmarking.parametric:main