rapids-singlecell

View on PyPIReverse Dependencies (3)

0.11.1 rapids_singlecell-0.11.1-py3-none-any.whl

Wheel Details

Project: rapids-singlecell
Version: 0.11.1
Filename: rapids_singlecell-0.11.1-py3-none-any.whl
Download: [link]
Size: 129921
MD5: 32b368a808d3900830a297536bf1e831
SHA256: db5713c2b08c801d3410a6443baf3d4f2f5bcdfa01edc7df52f4a598bb1abb0f
Uploaded: 2025-01-21 17:12:33 +0000

dist-info

METADATA

Metadata-Version: 2.4
Name: rapids_singlecell
Version: 0.11.1
Summary: running single cell analysis on Nvidia GPUs
Author: Severin Dicks
Project-Url: Documentation, https://rapids-singlecell.readthedocs.io
Project-Url: Source, https://github.com/scverse/rapids_singlecell
License: MIT License Copyright (c) 2022 Severin Dicks Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Requires-Python: <3.13,>=3.10
Requires-Dist: anndata (>=0.10.0)
Requires-Dist: matplotlib (>=3.4)
Requires-Dist: natsort
Requires-Dist: numpy (>=1.17.0)
Requires-Dist: pandas
Requires-Dist: scanpy (>=1.10.0)
Requires-Dist: scikit-image
Requires-Dist: scikit-misc (>=0.1.3)
Requires-Dist: scipy (>=1.4)
Requires-Dist: statsmodels (>=0.12.0)
Requires-Dist: tqdm
Requires-Dist: dask; extra == "doc"
Requires-Dist: myst-nb; extra == "doc"
Requires-Dist: nbsphinx (>=0.8.12); extra == "doc"
Requires-Dist: pytest; extra == "doc"
Requires-Dist: readthedocs-sphinx-ext; extra == "doc"
Requires-Dist: scanpydoc[theme,typehints] (>=0.9.4); extra == "doc"
Requires-Dist: sphinx-copybutton; extra == "doc"
Requires-Dist: sphinx (>=4.5.0); extra == "doc"
Requires-Dist: cudf-cu11 (==24.12.*); extra == "rapids11"
Requires-Dist: cugraph-cu11 (==24.12.*); extra == "rapids11"
Requires-Dist: cuml-cu11 (==24.12.*); extra == "rapids11"
Requires-Dist: cupy-cuda11x; extra == "rapids11"
Requires-Dist: numba (<0.61.0); extra == "rapids11"
Requires-Dist: cudf-cu12 (==24.12.*); extra == "rapids12"
Requires-Dist: cugraph-cu12 (==24.12.*); extra == "rapids12"
Requires-Dist: cuml-cu12 (==24.12.*); extra == "rapids12"
Requires-Dist: cupy-cuda12x; extra == "rapids12"
Requires-Dist: numba (<0.61.0); extra == "rapids12"
Requires-Dist: bbknn; extra == "test"
Requires-Dist: profimp; extra == "test"
Requires-Dist: pytest; extra == "test"
Requires-Dist: scanpy (>=1.10.0); extra == "test"
Provides-Extra: doc
Provides-Extra: rapids11
Provides-Extra: rapids12
Provides-Extra: test
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 2715 characters]

WHEEL

Wheel-Version: 1.0
Generator: hatchling 1.27.0
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
rapids_singlecell/__init__.py sha256=bt66dHWWjWBE8__54_lCqGnpC2QOnP-Q_UsFYXfn8Vo 105
rapids_singlecell/_compat.py sha256=EU1SUOeDpB28ERTnKsRukDRFjsocS7OjFxfp2V3h-IA 819
rapids_singlecell/_version.py sha256=GfnRHfD9z98AbNAoXaNE50CPUnbpEikyDWn-_mn0J2Q 413
rapids_singlecell/dcg.py sha256=mMbpnRUHweeE9HReQGIk_U3R0ZP6KuaGZljEh4djjvc 65
rapids_singlecell/gr.py sha256=_YucGmeMjbkD72HdmuGIk6NB8NwoCJKI5xKssTCX5ws 63
rapids_singlecell/pp.py sha256=dTMpYKRIdMxNRBeDYJ-LleiA2F8A1g6q3CQGwGNPM8U 65
rapids_singlecell/tl.py sha256=XNjSJ5DO_W1HxfB-hsx3QgQ5_xx06e4jyWN4L445iN0 57
rapids_singlecell/_utils/__init__.py sha256=NXifgwcOzrzNfQRzrTinkYtCH913BySaOfSLzeCMikU 435
rapids_singlecell/decoupler_gpu/__init__.py sha256=mXR6jFKftnTlDxtsf9pN_MwzPaRWzZE5Z6ARfURvqj4 176
rapids_singlecell/decoupler_gpu/_method_aucell.py sha256=_H0Qbu6XGEJqlhUgmg4A0pg_Ffd_4wORMuGvbCIIcqA 7175
rapids_singlecell/decoupler_gpu/_method_mlm.py sha256=wiVvqBMTPUNXXzK3uffnQCo-UX9CANxQ2VFm0AlVPlw 5339
rapids_singlecell/decoupler_gpu/_method_ulm.py sha256=cPeWkGqloo7Q588jkclAXiMeY50iK5Pog3x7NP6-0Co 4674
rapids_singlecell/decoupler_gpu/_method_wsum.py sha256=k6fid1w2ZpZHEuNMoxXsEjR5UHVPYaeHUdKQSYaypyg 7396
rapids_singlecell/decoupler_gpu/_pre.py sha256=WuVMhKjEpsB3jT9_WpSiM1WVGSLDu1-bb9bAZmOhj9c 9005
rapids_singlecell/get/__init__.py sha256=fouUKtGNC0hzxnO4PT6QhhyBAN5YoM0l2n-Bxp4h7tM 208
rapids_singlecell/get/_aggregated.py sha256=m0VivAUeETYsx_BAshx4BHBqDfaLgOLeLe12UbicCc0 14907
rapids_singlecell/get/_anndata.py sha256=VJLpSQ-yiilcUiSUQ3ZiD_WpovaoDoMfD6t7HOeBM4s 4435
rapids_singlecell/get/_kernels/_aggr_kernels.py sha256=QcI6E9WAfDSqcEua6Un3EKnpzH5NYDbqVyx1Eisuc1Q 3454
rapids_singlecell/preprocessing/__init__.py sha256=j6QcziJ5j8sURHwwCjNN0-Ou-FyQcBsPpTBM0ZPno1E 538
rapids_singlecell/preprocessing/_harmony_integrate.py sha256=G_MuEArLqTIUSMNwKEOpsBFFQdrNU2buJkmMr0mN9C0 2365
rapids_singlecell/preprocessing/_hvg.py sha256=oE6OejANnOZ4JMARpjd0TYee6Z7MlXO80V96yhw0pU8 39570
rapids_singlecell/preprocessing/_neighbors.py sha256=PH_z_Ub-Gkt2NRRWrbi-5nkik9C-m4XLu7JwOFzjf9A 21670
rapids_singlecell/preprocessing/_normalize.py sha256=4qn6tKs0LHvlUcpnBerdk3bGgcxw80AJyqXJ0DtRlVs 14473
rapids_singlecell/preprocessing/_pca.py sha256=bHah0EBJnlBZt3Hgul9YJACTcpFsZQTOYG8zg2wIYF4 8530
rapids_singlecell/preprocessing/_qc.py sha256=QmfELZN9lp5jEHOXvZ4K8Splx3QqUO-cd-qWlkuoj8s 14600
rapids_singlecell/preprocessing/_regress_out.py sha256=tkhBUZlIbW5ftL7-_fzjdS8HhhZOgMwkh8UoBSeMf94 3762
rapids_singlecell/preprocessing/_scale.py sha256=KzYi-iz_pFXmxHbEt3RxiHANnRiWwWkDKv6MCBNNIlE 12575
rapids_singlecell/preprocessing/_simple.py sha256=HJAZMhbxF4wmyYgLGiFdtsSaHm8EoEe5kr0s-riS_9E 6757
rapids_singlecell/preprocessing/_utils.py sha256=tET9GZO181_92-8rAF5jQpOKDSmbqcj6rw9RiceZWOQ 10000
rapids_singlecell/preprocessing/_harmony/__init__.py sha256=1wA4yOaqB8zTdOUnv_SnQ_PkYjICdVRXUGLjKboD3WE 13960
rapids_singlecell/preprocessing/_harmony/_fuses.py sha256=88taNHIHjNEnoxyGK6dWB_XvmGIxN8_DkwvU6FJmeq4 662
rapids_singlecell/preprocessing/_harmony/_kernels/_normalize.py sha256=aqxz872kj4XMfDI_wC9pjqQyw_iMOP4-ZKYm-BnWJfE 1513
rapids_singlecell/preprocessing/_kernels/_bbknn.py sha256=58BOF6O82QRNiGz8X9XifUeWwF2Ml-MKXBZyn6qo7d0 2292
rapids_singlecell/preprocessing/_kernels/_mean_var_kernel.py sha256=TJduF37_fHKeXJ6NjsyxDww_qH0qgdIzZ9B1U5w6meo 2669
rapids_singlecell/preprocessing/_kernels/_norm_kernel.py sha256=Gt4w9zNLsn7ozADkyswK0xRl_rhkzP_Q3SW5kSGLNP8 2388
rapids_singlecell/preprocessing/_kernels/_pr_kernels.py sha256=dEIc9K6YP_84NLbTowcvzDkyViqDR9nOY7BjlSdFnlI 9389
rapids_singlecell/preprocessing/_kernels/_qc_kernels.py sha256=vjAUjjawi4TCStx9EHiyVTjMcQCST4srvUo2_SGQsGA 5056
rapids_singlecell/preprocessing/_kernels/_qc_kernels_dask.py sha256=sVYaoyeT6OhhDmyFoqIxF0WFotF51PIj1N2JPNrtypU 3017
rapids_singlecell/preprocessing/_kernels/_scale_kernel.py sha256=wO-gVdsXHaowvYOtGkO-VR5aWu0A2pHZqe4y6_EcMso 2638
rapids_singlecell/preprocessing/_kernels/_sparse2dense.py sha256=zloU0RJX3Ho_xUdH8e20CUEU8IjKih4gSemXQmjkiSc 1007
rapids_singlecell/preprocessing/_scrublet/__init__.py sha256=LIEXUKZi5BpscFnMJyehL3w0QVTh8ljZ0_i1ovobAYM 21406
rapids_singlecell/preprocessing/_scrublet/core.py sha256=tdbRT0HyW9fPy2FwbQIeYF01t_rr8otfp0otsEvhs-o 17204
rapids_singlecell/preprocessing/_scrublet/pipeline.py sha256=uXbGjGIFDNx9ME8xjTzDW58Awf5hRojzZKIN1_r38Ao 3075
rapids_singlecell/preprocessing/_scrublet/sparse_utils.py sha256=Y5x8xlVF4t4L3Wr_Dx0hZMjAr2SGH1E-7WO428oajfI 2129
rapids_singlecell/preprocessing/_sparse_pca/_dask_sparse_pca.py sha256=jawmP7iForPY266NELYsFmmnwvG26dVhyiXEoda_YPg 6344
rapids_singlecell/preprocessing/_sparse_pca/_sparse_pca.py sha256=fuq_fHhZ0V147q458GD_i3pj66VYFBr3V7oKxUISOt4 5791
rapids_singlecell/preprocessing/_sparse_pca/_kernels/_pca_sparse_kernel.py sha256=uC0Vc97T4ZJeCz8ycG12xV_b9e7UmtaCBRFR9eZigfY 2005
rapids_singlecell/squidpy_gpu/__init__.py sha256=b0YCLsv2bjcAJNsW7GBMqZvZ4LnjZw9y7Pxeu5Ynuqk 104
rapids_singlecell/squidpy_gpu/_autocorr.py sha256=kX6CW3qLNc1aPOF9DXXY407Ppc88Em5IJdNklJYeXlo 6604
rapids_singlecell/squidpy_gpu/_gearysc.py sha256=7A69y2wrQxEFM5VukXvmTsk8XC-FoWL2zUm1w6flBmY 8361
rapids_singlecell/squidpy_gpu/_ligrec.py sha256=OCIS4z6yiCaqQBJzFfYguIJPLM29VvdZN0CQI0FLhKA 29770
rapids_singlecell/squidpy_gpu/_moransi.py sha256=ke2chG25Brzg65nHEYb6abrlIJ81PkCZKdzBdc3PW_w 8858
rapids_singlecell/squidpy_gpu/_utils.py sha256=Km3Le0npyVIra2bIP-vqayZ__fq2vRlNpsCesAWoURc 6222
rapids_singlecell/tools/__init__.py sha256=T60KY2J_ImZttJk0HKaNZ6SSKwA7V5F7qM4BC5wWRv0 445
rapids_singlecell/tools/_clustering.py sha256=-7lYaVbls09RtpMh-PNZQRHcWtTlogErB4ItlVkD8Vc 10295
rapids_singlecell/tools/_diffmap.py sha256=zN_pb1Ry8nCFCP3N3klinnCfXkcTAaY3ZMOZrteN1pU 3451
rapids_singlecell/tools/_draw_graph.py sha256=xEakz2aqbTzWlZaNS64f9Yeo90XMJBu33pUv1lAFx08 4109
rapids_singlecell/tools/_embedding_density.py sha256=iOB_Xw89vpiYcrq28tAl4woOOHVdiaGKvMOpr1DK7JA 5786
rapids_singlecell/tools/_pymde.py sha256=oIRpfiVQQHD7VtSxoKBKbrAdBIkDF8yIzNmvlOgghpk 2508
rapids_singlecell/tools/_rank_gene_groups.py sha256=dkFSuGt0I2RgAP9SIzn8uEsUEGW_6zQec_00tgmzuIw 8020
rapids_singlecell/tools/_score_genes.py sha256=Rmp3SKBRYSnMHbdFKl6dFpvtm6QDVskm0AXN1Dn7YEc 8335
rapids_singlecell/tools/_tsne.py sha256=XGhduO_ZHXWSOPOAG-ZKIr6_jlWf190pht0AxtcNMS4 4554
rapids_singlecell/tools/_umap.py sha256=sz9dIPYeknH8KQ6IdOgAkv6I-K2c-oF17Aq01WBb5Bw 7920
rapids_singlecell/tools/_utils.py sha256=0IW491CDWXfaVuWqJoXjjg5RcuhaLyE4VSFUH9ETv64 4506
rapids_singlecell/tools/_kernels/_nan_mean_kernels.py sha256=kq50dLsASGoVdSobDmv-XUMcSRCeM3uGa8NaQLSiEcs 2531
rapids_singlecell-0.11.1.dist-info/METADATA sha256=fn4jYuZIoIkI422qn_rRFrb5wLu7rTE99B2k8EqG2ck 5791
rapids_singlecell-0.11.1.dist-info/WHEEL sha256=qtCwoSJWgHk21S1Kb4ihdzI2rlJ1ZKaIurTj_ngOhyQ 87
rapids_singlecell-0.11.1.dist-info/licenses/LICENSE sha256=Ee2tSmE-SnWyi0DEVVdY-jG-1mCaiid5GJ35JqD1gR0 1070
rapids_singlecell-0.11.1.dist-info/RECORD