dnpLab

View on PyPIReverse Dependencies (1)

2.1.19 dnplab-2.1.19-py3-none-any.whl

Wheel Details

Project: dnpLab
Version: 2.1.19
Filename: dnplab-2.1.19-py3-none-any.whl
Download: [link]
Size: 119856
MD5: ee806e6273c0355de12ca9ad66e55e86
SHA256: 236db190b046bbb919545f6f39d66c1f6088117042fd9ba1034fa5ae27311c3a
Uploaded: 2024-03-29 20:30:41 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: dnplab
Version: 2.1.19
Summary: DNPLab - Bringing the Power of Python to DNP-NMR Spectroscopy
Author: DNPLab Team
Home-Page: http://dnpLab.net
Project-Url: Documentation, http://docs.dnpLab.net
Project-Url: Examples, http://dnplab.net/auto_examples/index.html
Project-Url: Source Code, https://github.com/DNPLab/dnplab
Project-Url: Web App, http://odnplab.com/
License: MIT
Keywords: ODNP,DNP,NMR
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Requires-Python: >=3.8
Requires-Dist: numpy (>=1.24)
Requires-Dist: scipy (>=1.10)
Requires-Dist: matplotlib (>=3.7)
Requires-Dist: h5py (>=3.10)
Description-Content-Type: text/markdown
License-File: LICENSE.txt
[Description omitted; length: 1516 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.43.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
dnplab/__init__.py sha256=KdhF72mkQNjDtXQ7oCx46Ff3-7_21_mI3wgCHm19_8c 667
dnplab/version.py sha256=jYTHUkr2lWxA-TYTVO0ypdTzWrOftTQA7p7wW_oFL4Q 24
dnplab/analysis/__init__.py sha256=OHwKo976fbnd2X4gSqI-Iv4M9Wx7ZX83iLtA5N4EYP8 191
dnplab/analysis/hydration.py sha256=WARUiKpya6I9ARxiLLBQAMfTj8GIf0GFAmbGXB5BBKA 19746
dnplab/analysis/peaks.py sha256=vsgiEm7w_yG7cbraVko2iJs9WIjskstkoP7tsgJu3CA 9245
dnplab/analysis/relaxation_fit.py sha256=XpL1f8ewyN4K8GH84n-ZhFI1TqFbWo_8sRwnzCX2Pk0 660
dnplab/analysis/simulate_enhancement_profiles.py sha256=NHXzhulZiLuLt9ow6hT0Zl69DvXZ4gr6U8ZIECIltLI 3743
dnplab/config/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
dnplab/config/config.py sha256=unDr17t8JmTh_IJNzjYLpzcxiuWefCsOVdLO85c-UgE 2442
dnplab/config/dnplab.cfg sha256=MCG4FdkWqCKOmK7g6IoYEHYPZWVq87O4hW1L9sk-gUo 7919
dnplab/constants/__init__.py sha256=bcVUFtT7Fw4CCAxOIbCPIXxZFc8Yu17_N_7zi8Ytvsw 133
dnplab/constants/constants.py sha256=fV12iiewy69GqgYwAGotUOYtiLoQ_PALGkoUHuLMQW0 553
dnplab/constants/mrProperties.py sha256=r3k3VPSc219vP8i5GRAliFcwOVUV2YauzIpozoiXbkM 13734
dnplab/constants/radicalProperties.py sha256=K-0w2JvapYHj39MQSKwwERj4Qzf9ktGqszbU5kDPgOM 5150
dnplab/core/__init__.py sha256=w6GF_swb-Uho7ozvwWjk8PN63FfcwLk0_G5SnpVZ1PQ 132
dnplab/core/base.py sha256=krMjzq8h57c91SA8Pc8wxcSD4pkR2HqMEO7nxfAVPnQ 41983
dnplab/core/coord.py sha256=M16Nrpmjh0gO5U1LdSmqugbBbYJUFAe9n00RGwOwSvU 6815
dnplab/core/data.py sha256=m-iyVIgzXbnhtuUV26tTjpnr45Ba1icDeKelCP24iWo 10720
dnplab/core/ufunc.py sha256=ArsqB7goKVt2Ij1PoTjupANeqqYQ4bGQOkhFOz7parM 1456
dnplab/core/util.py sha256=e361oZXKzJS7DC4h_yNWr3Fy4ibb7Ihcq9VN17C4LyE 3757
dnplab/fitting/__init__.py sha256=YAmeWVLkydI22OQRKmR0M3seYiZE2GFjti6Y2S6_cZE 76
dnplab/fitting/general.py sha256=Y7baIjpZZQX_rW5TYjEcN9nYXWcu4VYEv8KHf9ngSJc 2653
dnplab/io/__init__.py sha256=saYuNZZ5RUGq1A1cavuYHO7o4EQ7uLZTzfZVlmeb5qs 379
dnplab/io/bes3t.py sha256=yfhRnReDW-8QZVpVysxm8hpRwMEdZq1ZN1faI7VIovo 15086
dnplab/io/cnsi.py sha256=RD3SmvTYgGkt6thSi2oa32yIxBnDPbFOwfD_n3Oxm-4 5180
dnplab/io/delta.py sha256=A7x7tYug0BSC9oTv5pJ7p_cppvi_r1-dQpSQDkv5sIo 5943
dnplab/io/h5.py sha256=pcW546hhjrhIuj6GGVHMimQjMO3UanfEe5fHYjTYhzU 7003
dnplab/io/load.py sha256=pPrUvFOaQ1vdiP40eDVOuhuG39uhfabsIOfBH0zS30g 10890
dnplab/io/load_csv.py sha256=EmyCCGJFvJCTcJrbLcS_QBY9875_9qy2sfdga_QGzyk 3269
dnplab/io/power.py sha256=GIliFbd2HvqDSh2TfhoHlyzLerU9ZQZnmwvZpi7Lb2w 3263
dnplab/io/prospa.py sha256=lozEa8FKe4LUaA44g4t77uCYfC-684x--_Ru6X4Ao7E 10272
dnplab/io/random.py sha256=goEzPEae8QL0_v9sLal9CEHCKUBPp7PkpZzntK0MiOM 824
dnplab/io/save.py sha256=Pq1J0Gm-KWa2HfE4FFcEaan3_1NdT_5LDOJoOSSwv3I 1344
dnplab/io/specman.py sha256=nv54BhpgdxUYsBguJoKNolPeW-aaJ7unntdQY_ubWCg 9592
dnplab/io/tnmr.py sha256=bH5FO0cJ2i-6GEmueH61H-xkiuYP1t9w0sHd9DT5tUE 2799
dnplab/io/topspin.py sha256=abV7wwbgNU-34BnJVKPcB0xdWCD8U4ZYcTDxn2y1ZIQ 17430
dnplab/io/vna.py sha256=5NnYThivAT0rrW27kniknViHu_xLoGHiGPPSXnMDpBA 2919
dnplab/io/vnmrj.py sha256=QxmcN2qxPwqUUV5Vcv87EI3l6xhOKzuC2cGBfNMkK_k 7831
dnplab/io/winepr.py sha256=eX83lUSzghO6EG_LPZQiegSC3trkzrOF2BucpEYFGmY 5660
dnplab/math/__init__.py sha256=Wi5ml7AsxjKKPQu2lwwLIlwPnj3_PsGvs26_wpQvspg 136
dnplab/math/lineshape.py sha256=IpAsoE-ZVoT9cYQX4q0q8QqVZNksXmrkNKzpFMaoiqY 4325
dnplab/math/relaxation.py sha256=kfoGk5deo1H0Rcm9EN34L7w8B-dQo1Xl2IQeK0SXS_M 3057
dnplab/math/window.py sha256=I7kOkiRlWlyjSZHhjg8N6e3cjtSvOk4F2Co0Sy_6M8A 4084
dnplab/plotting/__init__.py sha256=Y1g5PUcNX9hpdpM6Le7xzL1m0F47OZu1Ncw7uc9iqN8 138
dnplab/plotting/general.py sha256=9USFcAXRnNuVcm6Z5hu2FfswKpOFkRQRpX_tlCRz8bc 9545
dnplab/plotting/image.py sha256=8rnGaOI9aMrZJyhZ1AZwegevAKQ0nUMJ_U8euecueUc 1042
dnplab/plotting/stack_plot.py sha256=0_Es8k4bFD7f60cGMt4xXH_PvFd84AtM-BCOvA_y-Bg 1797
dnplab/processing/__init__.py sha256=OmjThEK30tO6dCmVWxwpG6gw2KiOwMZaufU0ot9Kbf4 324
dnplab/processing/align.py sha256=x6Rukhgpe7PDcKbcnj4fdbGqYkAp2t71sXWKyvpj8OU 2334
dnplab/processing/apodization.py sha256=6elcLlbyD0m06WtK2EuJ9yoX5qoinbEOf-pZ5zcTCWo 3129
dnplab/processing/average.py sha256=8e9BEKz4WmzzEpfKdvIgvFoyAKK16t1T936dpcSbAcs 651
dnplab/processing/conversion.py sha256=dqafWGklZmXBfMX20GggahCjFRJj-cDTMUY2FQ1WLZU 6887
dnplab/processing/fft.py sha256=HWvw9R2QVNHplcmBzIoYAJuRP-sEsL8Qk9JlzjR9g0o 5730
dnplab/processing/helpers.py sha256=miWjK-sZqiqNUvBaSdJDY-gGAIXk28MhfWCTz9NLK3c 15406
dnplab/processing/integration.py sha256=G7Oyr70aEs6XidMcAPGCVPZSM8jHWGBnpQ-ImIISggs 3605
dnplab/processing/interpolation.py sha256=U9xHpCrR2RsGtcYcisWfWr9cKWpK4IThe7t090Ivd14 1939
dnplab/processing/offset.py sha256=_wdPLkSfKqOJGe4AJjsFHGX7vCyRRkyLzIEj88Ftg0o 2301
dnplab/processing/phase.py sha256=oPPc2nIG8RpB4nRc96wX_NcJscLkvd5zBlkYgXixEHg 17545
dnplab/reporting/__init__.py sha256=Z938jDYV-EZdP4exaiVyv8f1cYks3FPyyV_uU_RChME 39
dnplab/widgets/__init__.py sha256=en8IwSIWGy99pHCaVCT2iq5cteuj_z4nO50dtkFToSI 151
dnplab/widgets/align_widget.py sha256=dm2FKaOvHRwlA_sKh2WS0aFYDoVrlzAYy3tf93DBBBU 2023
dnplab/widgets/phase_widget.py sha256=yy0sxNYErgq3wS9peginzMfhqoZKxy1DEa3p2Auckh8 3591
unittests/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
unittests/test_average.py sha256=v1cz6-XfigbjqjjKjwfMGEs4_z67Zb9lJzYHG3ph8cc 779
unittests/test_data_class.py sha256=62AX7VPvmZ-mExGI1VwO6av-WvH4bQHyGlwK9glGywQ 2904
unittests/test_dnp_nmr.py sha256=l1S-l2ytFZXo0KuuW8qQA1FU-CWe1THYhfSqgSZ-3NA 1758
unittests/test_dnp_tools.py sha256=jVl5TIItela9JK92E34ATepuuf4yBfxOh8_tiY8LEtc 1530
unittests/test_fft.py sha256=8pcNYFktXvsnSV8LKkNQMRGDEprA6ycY8FwNOgxQSdE 834
unittests/test_general_fit.py sha256=aO4-tt3njXJX6dPZRLtzslYLnoZ2XN28p6HZsGV8EFo 793
unittests/test_hydration.py sha256=WzWqq_e-Uwlq8AFUnzQvFc3sSYzMREbhVtrfGDcI1Z4 4590
unittests/test_io.py sha256=EFYcyu9MKn_6JefafppsdlDaJW_gSw9odwxPAOfoHd0 11763
unittests/test_load.py sha256=2So6hpchDxNI4wXwQBhPIlD3JXvIZi0QxOBHfJd2e3U 1916
unittests/test_m_math.py sha256=90Jn5_FaygIw8A5WF9ebCFFSFVLl_ZT9sIYYp2FMyg0 834
unittests/test_nddata_core.py sha256=uaer13dL8Ylin7yr6h9oRUBKw82VU96KkYDVGEKkhBM 12294
unittests/test_processing_helpers.py sha256=XP-uAgsEgeoxOtwigyQe5IwnrWDSDvCiZl1hMN7qaCE 7157
unittests/test_save.py sha256=yYJYQtWf7DFV6B2pci906yflbR_MTWcw0876s1tG8n0 914
unittests/testing.py sha256=xRV2ohtcL7Iaj6OM5SwEFM5pbq9ruI1E4LwPMaF0FuI 602
dnplab-2.1.19.dist-info/LICENSE.txt sha256=_Xm-J2_sHpfRxYfTRC_vBVzALgkeV-0etv2NeCVfrzU 1105
dnplab-2.1.19.dist-info/METADATA sha256=oCpPffgssKMsdg_BcS6WAKDsZ90Unz_UamqTFYk-XiY 2525
dnplab-2.1.19.dist-info/WHEEL sha256=GJ7t_kWBFywbagK5eo9IoUwLW6oyOeTKmQ-9iHFVNxQ 92
dnplab-2.1.19.dist-info/top_level.txt sha256=RJpCt5YMuI6JC_3hnevjOGG_101de8-p4AbIghFPGLI 17
dnplab-2.1.19.dist-info/RECORD

top_level.txt

dnplab
unittests