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chem_wasserstein

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1.0.12 chem_wasserstein-1.0.12-py3-none-any.whl

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Project: chem_wasserstein
Version: 1.0.12
Filename: chem_wasserstein-1.0.12-py3-none-any.whl
Download: [link]
Size: 1048638
MD5: 4408b93c81556cb2dcb5ca8c66bbfe64
SHA256: b38963667f343343067d241028450380b53fc03eb486edf980e3b08ef3258310
Uploaded: 2023-06-19 09:31:59 +0000

dist-info

METADATA · WHEEL · RECORD

METADATA

Metadata-Version: 2.1
Name: chem_wasserstein
Version: 1.0.12
Summary: A high performance mapping class to construct ElM2D plots from large datasets of inorganic compositions.
Author-Email: Cameron Hagreaves <cameron.h[at]rgreaves.me.uk>, "Sterling G. Baird" <sterling.baird[at]utah.edu>
Project-Url: Home, https://github.com/sparks-baird/ElM2D
Classifier: License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Requires-Python: >=3.7
Requires-Dist: pqdm (>=0.1.0)
Requires-Dist: plotly
Requires-Dist: pandas
Requires-Dist: numba (>=0.53.1)
Requires-Dist: scipy
Requires-Dist: tqdm
Requires-Dist: colorama
Requires-Dist: umap-learn
Requires-Dist: dist_matrix (>=1.0.2)
Requires-Dist: ElMD (==0.4.8)
Requires-Dist: scikit_learn
Description-Content-Type: text/markdown
[Description omitted; length: 6862 characters]

WHEEL

Wheel-Version: 1.0
Generator: flit 3.9.0
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
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chem_wasserstein/ElM2D_0-4-0_ElMD_0-4-3.csv sha256=afvkWnoWLVyNx-pZCW9cAgsid2qYqkxRukC9jWudxp0 6250000
chem_wasserstein/__init__.py sha256=n00gtqnJ7ZirbSmuFGj2ZZ6J02xzpDe6VXBs6fbhjvY 134
chem_wasserstein/meta.yaml sha256=H8J0tqox1CLS5VnnOJVCFpOQk56b_HuBmZ6lp3SIWdE 1031
chem_wasserstein/stable-mp-500.csv sha256=NL_Eydr1zgra3HP4Ctw7xKJU4o6mh_P8o2C8gVzK6pk 5034
chem_wasserstein/test_ElM2D.py sha256=6_2CTGWQKj3j1lM0McxJPDW_lY25OWWJDOxPCh4Jf7w 4854
chem_wasserstein/train-debug.csv sha256=EeN0Cke0tMbx9lUT2n2gKfdaTd5EY6urWXcyIXbmf54 3570
chem_wasserstein/utils/Timer.py sha256=GgvPmI63UOJglHHAIbnoYu4iAQ2GfTzAeLaevHRlmO8 974
chem_wasserstein-1.0.12.dist-info/LICENSE sha256=OXLcl0T2SZ8Pmy2_dmlvKuetivmyPd5m1q-Gyd-zaYY 35149
chem_wasserstein-1.0.12.dist-info/WHEEL sha256=EZbGkh7Ie4PoZfRQ8I0ZuP9VklN_TvcZ6DSE5Uar4z4 81
chem_wasserstein-1.0.12.dist-info/METADATA sha256=lBjPzYvdFDSCNGpXK7MKfgA5ICbm_Gh3P7xBtPbRzDc 8195
chem_wasserstein-1.0.12.dist-info/RECORD — —