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0.0.193 draupnir-0.0.193-py3-none-any.whl

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Project: draupnir
Version: 0.0.193
Filename: draupnir-0.0.193-py3-none-any.whl
Download: [link]
Size: 3958049
MD5: 9c1e1f0381ef3ba5e81d93f2ab9c364e
SHA256: 7484adab04d85c1df6a75bca68e217462ddee4ae55d216fe2636bd95a8b86c4d
Uploaded: 2022-03-02 13:54:05 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: draupnir
Version: 0.0.193
Summary: Ancestral sequence reconstruction using a tree structured Ornstein Uhlenbeck variational autoencoder
Author: Lys Sanz Moreta
Author-Email: lys.sanz.moreta[at]outlook.com
Home-Page: https://github.com/LysSanzMoreta/DRAUPNIR_ASR
Project-Url: Changelog, https://github.com/LysSanzMoreta/DRAUPNIR_ASR/blob/master/CHANGELOG.rst
Project-Url: Issue Tracker, https://github.com/LysSanzMoreta/DRAUPNIR_ASR/issues
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3 :: Only
Requires-Python: >=3.6, <4
Requires-Dist: pyro-ppl (==1.6.0)
Requires-Dist: biopython (>=1.78)
Requires-Dist: pandas (==1.0.1)
Requires-Dist: matplotlib (>=3.3.4)
Requires-Dist: ete3 (==3.1.1)
Requires-Dist: dgl-cu111 (==0.6.1)
Requires-Dist: dill (==0.3.3)
Requires-Dist: seaborn (==0.11.2)
Requires-Dist: pytorch-ignite (==0.4.4)
Requires-Dist: scipy (==1.5.4)
Requires-Dist: scikit-learn (==0.24.1)
Requires-Dist: umap-learn (==0.5.2)
Requires-Dist: gdown (==4.3.1)
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 380 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.37.1)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
draupnir/3D.py sha256=UG5Mu1GhfUMP3jVFpAjvjLyPq1CqHU3d4R2wDY-WZNc 15019
draupnir/__init__.py sha256=896UrTVldgSwLhJIniLtkrIpeGzDSBxOPqyiP1P7iGk 413
draupnir/datasets.py sha256=tBwgVoz0YdyceZrsiEpfIRFuU5a7NkORiYzVkVxZRZY 33467
draupnir/draw_tree.py sha256=wB0lUtF2XHs_TJqOolxfN4Y_ZcDRxiiUjpfIHYgWdpY 9178
draupnir/guides.py sha256=PzP21ORaeSSLpctB_dlPsvPva51Sd5k8WT37VSgxtKM 4122
draupnir/load_utils.py sha256=yQhe2YMkFteASV0z8e8enlJuuYMDcFAcY5pGNQ3NnpU 58625
draupnir/main.py sha256=3p1zPd2LRll5Wt42i9zx2EhyHc-dUxx2Wa9iHHMNPbQ 119936
draupnir/models.py sha256=HOvFuoVyOXwtynEedKMwAUqu7aA-Yhlo_eh0ChEEzGs 56365
draupnir/models_utils.py sha256=jehb5lGemqkN7crNgv83aT3pi2s-8SFCJGSLOver86I 22144
draupnir/mutual_information.py sha256=PhKvPhJFE5MvoRDmOuoULwJzPZuqxB00Gj137ag2Pag 8469
draupnir/plots.py sha256=rTuWHTM3XUmpK5NzKcULrMR4KEkXfzg5f-HQCZS37nc 85051
draupnir/train.py sha256=YfosuF_TcbsGpd2mdDV8PuBvU-wqoTuWvSsrKTTFEWY 4588
draupnir/utils.py sha256=UW40YhioNkSC91_BE_mg3Jt02Adp9rVthX30LEeB7XU 106231
draupnir/data/AA_properties.txt sha256=zQ8_1mcGvquGPH3a7HLD3t0GdMQjTxDXTyDRAp1-8xc 1578
draupnir/data/PfamPdbMap.txt sha256=xMz1mjVqs0a_MAAVZB9CjbEe6Li29VZahKTjHQfd82g 32494553
draupnir/infer_angles/__init__.py sha256=NSUolQBfFl9pmPC902lh6zw-Cw7tDR9NAn07tRYUkk0 330
draupnir/infer_angles/calculate_coords.py sha256=roeJwbWVJ9a8hArCO2TcABzb5pai7AxxLHzXAF4o5vg 5319
draupnir/infer_angles/nerf.py sha256=v7rzeYLzxo1i0DNc1tZn4vZL6WkFmguhf_b9OmOqyGI 1362
draupnir/infer_angles/pnerf.py sha256=guehd8Jc7_AyOmYuiXm5xMGTOg_88pFxquG4PoOfeBE 9437
draupnir/infer_angles/superposition.py sha256=vuyNh3e1wWHC1aa4J53dCHbuhGPl5VLqqhPG0WQkm44 19190
draupnir-0.0.193.dist-info/LICENSE sha256=0tQ4Hh-2lPXW9amTlMGbz78rTSqscZ3hlY94Janc3M8 1071
draupnir-0.0.193.dist-info/METADATA sha256=HAI8bCoi_OvlWCaYI8ZD4CKjqKOskiN_VYUIhj1q9r0 1611
draupnir-0.0.193.dist-info/WHEEL sha256=G16H4A3IeoQmnOrYV4ueZGKSjhipXx8zc8nu9FGlvMA 92
draupnir-0.0.193.dist-info/top_level.txt sha256=y1u6v7PeF4cw1SI7FSF8qXd5M80HjACJWesOqeVfNfc 120
draupnir-0.0.193.dist-info/RECORD — —

top_level.txt

3D
__init__
datasets
draupnir
draw_tree
guides
load_utils
main
models
models_utils
mutual_information
plots
train
utils