Wheelodex » Projects » andi-datasets

andi-datasets

View on PyPI — Reverse Dependencies (0)

2.1.2 andi_datasets-2.1.2-py3-none-any.whl

Wheel Details

Project: andi-datasets
Version: 2.1.2
Filename: andi_datasets-2.1.2-py3-none-any.whl
Download: [link]
Size: 70961
MD5: 464cc9ae24b9e7a8293adfda8a5c26ae
SHA256: bdfcae857cf61d7038c7e80eebd5f161bd187b6e3cbcba2b4baaef3f01383eb7
Uploaded: 2023-12-11 17:30:02 +0000

dist-info

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

METADATA

Metadata-Version: 2.1
Name: andi-datasets
Version: 2.1.2
Summary: Generate, manage and analyze anomalous diffusion trajectories.
Author: Gorka Munoz-Gil
Author-Email: munoz.gil.gorka[at]gmail.com
Home-Page: https://github.com/andichallenge/andi_datasets/
License: Apache Software License 2.0
Keywords: anomalous diffusion
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.10
Classifier: License :: OSI Approved :: Apache Software License
Requires-Python: >=3.10
Requires-Dist: numpy
Requires-Dist: stochastic
Requires-Dist: tqdm
Requires-Dist: scipy
Requires-Dist: h5py
Requires-Dist: pandas
Requires-Dist: matplotlib
Requires-Dist: scikit-learn
Requires-Dist: imageio
Provides-Extra: dev
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 5936 characters]

WHEEL

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

RECORD

Path Digest Size
andi_datasets/__init__.py sha256=UiuBcRXPtXxPUBDdp0ZDvWl0U9Db1kMNfT3oAfhxqLg 22
andi_datasets/_modidx.py sha256=BlHJq9jh-ySsVT1bsOqiUH3FNDXmo4llOA4Hmj5pHjg 40201
andi_datasets/analysis.py sha256=xFD-QyrSDZIDh6nkDW9plpiWQGj49k-aSZKJueXhDlk 7743
andi_datasets/datasets_challenge.py sha256=znz39vKuMEqbMcxi84pn-Ti8FOqDgDdST-k30iSv8LY 39528
andi_datasets/datasets_phenom.py sha256=7Y3e1QscMEdUMte4Titm57VyxBlXsMAgCGuMy0hiBCw 14211
andi_datasets/datasets_theory.py sha256=gjgWUORVjX9PD-wAl1fixBlwvcJJo0LEeRDm3ta4mac 28030
andi_datasets/models_phenom.py sha256=VXVmpaiK-XmDbg6PhVN1eMDo9kxvNIgLoKtV-r7cIss 58489
andi_datasets/models_theory.py sha256=cRDiDEytr4WN8xO7_XOpnkkOh5w_12KRFsSVQPtJNuU 17025
andi_datasets/utils_challenge.py sha256=mieXS_0vzBEcnRkH3fGzmya1FZ8zLbWZ4lYk8URSjss 69340
andi_datasets/utils_trajectories.py sha256=yGAQcbMGGwFjZwbZx4Vx_WyUXq_IgBvjAfgJr7Yipts 19650
andi_datasets/utils_videos.py sha256=I8NUU4Bn-LI6dZmGXOIukZ1p71USw-8S0n9jhdtszDw 15459
andi_datasets-2.1.2.dist-info/LICENSE sha256=-ggOdKZO7jzbdyYjTjgCjYOprIR4_G6rFF9OqUFxB90 1073
andi_datasets-2.1.2.dist-info/METADATA sha256=mCBpRcnLtP3Ep6oInQXd6innJ3Kwf1vn4_Bp9b9iNnM 6817
andi_datasets-2.1.2.dist-info/WHEEL sha256=G16H4A3IeoQmnOrYV4ueZGKSjhipXx8zc8nu9FGlvMA 92
andi_datasets-2.1.2.dist-info/entry_points.txt sha256=hOVlKxSCZ4XPQ-0tLFC6rUxpus5AtWhoB2A2QZF2ZcM 48
andi_datasets-2.1.2.dist-info/top_level.txt sha256=2ypds7o_6ZOjg49bakK5LG1UtBRkVzPYgtBrX8jr6B8 14
andi_datasets-2.1.2.dist-info/RECORD — —

top_level.txt

andi_datasets

entry_points.txt

[nbdev]
andi_datasets = andi_datasets._modidx:d