cr-nimble

View on PyPIReverse Dependencies (2)

0.4.0 cr_nimble-0.4.0-py3-none-any.whl

Wheel Details

Project: cr-nimble
Version: 0.4.0
Filename: cr_nimble-0.4.0-py3-none-any.whl
Download: [link]
Size: 89736
MD5: fd114dbfc19994e1b982970c47bd7b5d
SHA256: e7df88bddf28d406590c1eed8f3e3e3bdedfeae9929293bb4c9435279038a29c
Uploaded: 2023-10-15 11:33:16 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: cr-nimble
Version: 0.4.0
Summary: Iterative algorithms for numerical linear algebra with JAX
Author: CR-Suite Development Team
Author-Email: contact[at]carnotresearch.com
Home-Page: https://carnotresearch.github.io/cr-nimble
Download-Url: https://github.com/carnotresearch/cr-nimble/archive/v0.4.0.tar.gz
Project-Url: Issue Tracker, https://github.com/carnotresearch/cr-nimble/issues
License: Apache 2.0: http://www.apache.org/licenses/LICENSE-2.0
Keywords: Linear Algebra
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Multimedia
Classifier: Topic :: Multimedia :: Video
Classifier: Topic :: Scientific/Engineering :: Image Processing
Classifier: Topic :: Scientific/Engineering :: Image Recognition
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: Unix
Classifier: Operating System :: POSIX
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: Implementation :: CPython
Requires-Python: >=3.8
Requires-Dist: numpy (>=1.24)
Requires-Dist: scipy (>=1.10)
Requires-Dist: pandas (>=1.0.0)
Requires-Dist: matplotlib (>=3.7)
Requires-Dist: pandas (>=2.0)
Requires-Dist: requests (>=2.31)
Requires-Dist: sympy (>=1.12)
Requires-Dist: bitarray (>=2.8)
Requires-Dist: jax (>=0.4.3)
Requires-Dist: jaxlib (>=0.4.3)
Requires-Dist: pytest; extra == "test"
Requires-Dist: pytest-cov; extra == "test"
Provides-Extra: dev
Provides-Extra: test
Description-Content-Type: text/markdown
[Description omitted; length: 1412 characters]

WHEEL

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

RECORD

Path Digest Size
cr/nimble/__init__.py sha256=dtxax-5W1wVvNKBLiafBIe8VHjP2NKS_fn_I4vbVnn4 6304
cr/nimble/affine.py sha256=aBUSE4ifkIQ1Ane8G8Pb-dbSDNy1WlZUanxboOD91-U 771
cr/nimble/compression.py sha256=UuDXA2O6j-hDVguDAKtJ1K83oZ1tyacdcRiToSfq9bc 1318
cr/nimble/data.py sha256=oLQxOVVgnhK5xXFF7PiXdntL1BlC9BvPXdZEOTVaLiQ 959
cr/nimble/rq.py sha256=wA0rRDamHesZRkf3EgligqCwjzv-qU6QDos05Q-O23o 736
cr/nimble/spd.py sha256=n8U2ukuNniQO0hgi88dX-dHtKtQm6vEYHoVeyTJsB5Y 725
cr/nimble/subspaces.py sha256=HcOiQPXdIBelWljSE8RkZ23_r4xW4Z7d-k7JML07jy0 1326
cr/nimble/svd.py sha256=zVa2S-pQFwVcWb2bB53K5z7pfcjNjZUkFQ64bF1qHSs 1379
cr/nimble/test_setup.py sha256=2tUqyAfxzNHybpc6T6GDVmpxiA98qR3hq0bVNPXlGOo 722
cr/nimble/version.py sha256=DObMj8zITWgJRRICOQXNFEgLDtZ9uQZUVwbNAU-P3oc 21
cr/nimble/_src/affine.py sha256=LQJWY1dkP0brsJSLmeIPX5u_nWhwnWJZ7LVxCyHAmok 966
cr/nimble/_src/array.py sha256=gaYnJOGWC5XoFMFl5sLwfmdINvQueQLKAVZxeapbvoo 1156
cr/nimble/_src/chol.py sha256=Rn9c_EPKFHbg-k4fTQTAxSv1filcjDtCB7nEz7ChweY 1535
cr/nimble/_src/distance.py sha256=BsrIK3F77N6oSrRiluoeyoWclKpXUXYQoA5etmIMEVk 11127
cr/nimble/_src/dls.py sha256=ZdRW8o1kOlSnMEk5Tk7S4kyr1mv17eRsflPK1x0fQUw 1085
cr/nimble/_src/householder.py sha256=8tWlzbHItnNsQ3fJ0cwJ0mJOOAFagTYpJXgnv1wDUrk 5671
cr/nimble/_src/latex.py sha256=NT4rgqNeXTXERoLPrguDU8iKayeb01oomOn6XhnF8I8 1193
cr/nimble/_src/linear.py sha256=HtOSK1wuDHwt1PDoRUi6llC--y4JBve6n1bnruurydI 1604
cr/nimble/_src/matrix.py sha256=ajSRd9kz81ymSTOUJi6zHw6oCO8_EudS0Vjj2_01HyY 8607
cr/nimble/_src/metrics.py sha256=YmcwHW5OxctuYY90DCF760yaB706twXydTEU2JYJdPo 6841
cr/nimble/_src/ndarray.py sha256=p6JQnOlda003huwUMGKnbpDGqZUnwbQxTQkb466kNc4 3058
cr/nimble/_src/noise.py sha256=dRb75Zvua8OliRHRWylfMaeVQ2sKJITeyOZVuYXH1MM 1652
cr/nimble/_src/norm.py sha256=K8Tl3juwxjY-ndcyOs8CZ3xfjL0deKWPYlkwoc4Gfgw 4182
cr/nimble/_src/rq.py sha256=26_GF2EwtTV3JvI7wOm9fSrJ6wrTIzkDvP2wBDx4AzM 2233
cr/nimble/_src/signalcomparison.py sha256=FZELLRcpndrvnrDki-Y9kWvSmgeII60Gf55KZXj5n6g 3768
cr/nimble/_src/similarity.py sha256=7li6R9wMmTZijkHs8Y0-T0KPSPFw9VEOJxdUcchB93g 1144
cr/nimble/_src/standard_matrices.py sha256=USXfFkFeCxllueIuqI2MqQaMkjVGxHsHTFSeUdkf05U 2014
cr/nimble/_src/subspaces.py sha256=Og63GyrI_WXm3JRF5TLQcFKzhZSK6j3gTFAWNWxEyO8 8931
cr/nimble/_src/svd_utils.py sha256=-A0ObAxv2wzCqRYN6fg1tN2FikZgQDiRjDKRUcAEV5E 8454
cr/nimble/_src/toeplitz.py sha256=0JsWLkZYaKj8d0GTv9oFmck0FQWq0IVGt2TKsGoMq28 2739
cr/nimble/_src/triangular.py sha256=jt4dCuIwtp70JyG668wVBL6ma1sk1LPUkRph_mVUg1o 1472
cr/nimble/_src/util.py sha256=n4MGQqtTZq-VQ2Z9LqPE5raFmf8Q4VYhNvrux9phaBE 4257
cr/nimble/_src/vector.py sha256=ZVqXYPVApj2XVJm0qeSIwGRA1ogvVoas-nZM7PdKw4A 13307
cr/nimble/_src/compression/binary_arrs.py sha256=_BDnElvAdjykBlkEHGbBOB3kXyX9ISF7GdWzzhsODH0 3469
cr/nimble/_src/compression/bits.py sha256=qoOadxpbGXTM2AcF-Z6uyJ6vbMefaRjgplUHpCmGXkk 1962
cr/nimble/_src/compression/fixed_length.py sha256=aUjsn6jO4iWsUD9sXjdiDwCmY0Z84FeJCy7ixS3CJd4 2947
cr/nimble/_src/compression/run_length.py sha256=5GjZHFyur7i9PsmdTeGNn7dMr_w5RSlOxIZZ34sjApE 1666
cr/nimble/_src/data/subspaces.py sha256=K0lwOawqDB_lJmPTBY61EGuioxUzaMauW-svx1b1tds 6839
cr/nimble/_src/discrete/number.py sha256=C3ALErf31NdnkXa2yEg4KxoYLO0djueGtG2HqUfv2v8 2222
cr/nimble/_src/dsp/convolution.py sha256=3IG7NdIF8JJCIg6SNBOappsXX4CHLN285iWl1bC-U0s 902
cr/nimble/_src/dsp/dct.py sha256=hkzUHn5VyvRkR3UyOBUxHdw2pBaDmIHokR531Sq1UKM 3260
cr/nimble/_src/dsp/energy.py sha256=FnERt6SSZrA8ObiQLpuch8Zyn5XczLGa6G06E5mhstU 1545
cr/nimble/_src/dsp/features.py sha256=VRvjBDpALdzsIcC0HLHoXYIuanA-9j6gjkKYsnwbBZE 1557
cr/nimble/_src/dsp/interpolation.py sha256=VaoyfcISEPzY__Bu8veiYBfYekmXqgAzIfJ6UFXJXvw 1175
cr/nimble/_src/dsp/quantization.py sha256=zevRfslfysMTGbihP1W1dFL2uOlljeB1PNpzhcxTH-k 1468
cr/nimble/_src/dsp/scaling.py sha256=5KO-TXcvWzcXlDl1d3EwF15l0_8x4728IT8NsWaAqGw 2157
cr/nimble/_src/dsp/sparse.py sha256=a6KebBXxj0Wml03IipawUfs_qWUXmWTX_NzR8CPDJmw 7385
cr/nimble/_src/dsp/spectrum.py sha256=lamDgc_oA2NPoPkWwGb5BIuxbIb9KqmgBm3fOIbQpsM 1826
cr/nimble/_src/dsp/synthetic_signals.py sha256=OtreXTqVXQAlooHHoKvsi1gZtS9efiAO6Op8euvwalo 16169
cr/nimble/_src/dsp/thresholding.py sha256=nPCl-aO7j6-F8L1k7jJ-Uc-dncZmrSx3CMzPbeRxhmY 7505
cr/nimble/_src/dsp/util.py sha256=IOS2czcV8iN-yFw28D0kdr6_icK0nQ9eNOy-fJNKZhs 1143
cr/nimble/_src/dsp/wht.py sha256=Bj8mDs_-1J3ld5zpFwmd7DvFPjCTopK71Hqi5f76R7w 2540
cr/nimble/_src/io/resource.py sha256=9D9pArsrP-TzJDaYe8nF8ZwXmmRFqWCycdDCjtLYZZA 3195
cr/nimble/_src/io/sphinx.py sha256=klsr0w_hdv4wwhRNy6RXs8twtb41J6HeDgJnqFwlji8 681
cr/nimble/_src/spd/jacobi.py sha256=De1I7XH_0-SUuhS6-moZvT28EG889Hy61s-YTlXdB3Y 2531
cr/nimble/_src/svdpack/bdsqr.py sha256=J6Rd7-JpIbpp8-Gpo5ujeDfZZ2QgHIOuUCIFkCoyopc 1441
cr/nimble/_src/svdpack/lanbpro.py sha256=B8OfSMUn4nwtkSsBfrjGoBTem844TMYn7-LK0xsKAYA 15116
cr/nimble/_src/svdpack/lanbpro_utils.py sha256=DdaoPc2tnr0YAQFgTpfPFb2w6XJloG8Q8XXOn5HdDsg 11314
cr/nimble/_src/svdpack/lansvd.py sha256=TqoICRgFecvFDCwuDB-u_2uOcEiwCoUne_7vxx67saA 2901
cr/nimble/_src/svdpack/lansvd_utils.py sha256=joBf1vKdz3Qdkj9WtJ-fjU05_qeFM3yA8jgsazzuw4c 823
cr/nimble/_src/svdpack/reorth.py sha256=cQxExQEJY1XMPq04Y7Axp7EbYm-mICdosK6TOdG9cZ8 2435
cr/nimble/dsp/__init__.py sha256=ANZDT-Cl7WMVLPpL1WOYlVWGrD0rMo1KnQiTX4rZcUs 3104
cr/nimble/dsp/signals.py sha256=qaMM7zQmTI4SFtUEYGvAYxmPTwWmDNZOsGcOBiLYn-s 1048
cr/nimble/io/__init__.py sha256=5KVWxP5NbGkxQm4KMJOzhdZk3Qb1Jcl6X2u91Av7kqs 715
cr/nimble/io/resource.py sha256=xNzBQp-FKE9jIGX-g3UTjCq_QXllCDLtuh09BwfayFM 782
cr_nimble-0.4.0.dist-info/LICENSE sha256=xx0jnfkXJvxRnG63LTGOxlggYnIysveWIZ6H3PNdCrQ 11357
cr_nimble-0.4.0.dist-info/METADATA sha256=dnQhRKreO8Jsm011sDzLgKEi1oRtgdQhx9FPtjKeISY 3060
cr_nimble-0.4.0.dist-info/WHEEL sha256=yQN5g4mg4AybRjkgi-9yy4iQEFibGQmlz78Pik5Or-A 92
cr_nimble-0.4.0.dist-info/entry_points.txt sha256=eqGnTHtEVMYwfXVk1Z9MhC8O2N8wuqAbr0lisLmrkxs 20
cr_nimble-0.4.0.dist-info/top_level.txt sha256=LznAaRftYSz9EnpcBOqHSp8niLST-YTZGI6U-hWTU0U 3
cr_nimble-0.4.0.dist-info/RECORD

top_level.txt

cr

entry_points.txt

[empty]