Wheelodex » Projects » PyDynamic

PyDynamic

View on PyPI — Reverse Dependencies (3)

2.5.1 PyDynamic-2.5.1-py3-none-any.whl

Wheel Details

Project: PyDynamic
Version: 2.5.1
Filename: PyDynamic-2.5.1-py3-none-any.whl
Download: [link]
Size: 1928282
MD5: 6ef44a3b4d011211d4043b8e649c6433
SHA256: 9255c01c5bde4e20cfe603ad38fc484d60901c27936f455e7b21c3b45ee3d371
Uploaded: 2024-05-31 13:57:15 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: PyDynamic
Version: 2.5.1
Summary: A software package for the analysis of dynamic measurements
Author: Sascha Eichstädt, Maximilian Gruber, Björn Ludwig, Thomas Bruns, Martin Weber
Author-Email: sascha.eichstaedt[at]ptb.de
Home-Page: https://ptb-m4d.github.io/PyDynamic/
Download-Url: https://github.com/PTB-M4D/PyDynamic/releases/download/v2.5.1/PyDynamic-2.5.1.tar.gz
Project-Url: Documentation, https://pydynamic.readthedocs.io/en/v2.5.1/
Project-Url: Source, https://github.com/PTB-M4D/PyDynamic/tree/v2.5.1/
Project-Url: Tracker, https://github.com/PTB-M4D/PyDynamic/issues
Keywords: measurement uncertainty,dynamic measurements,metrology,GUM
Classifier: Development Status :: 7 - Inactive
Classifier: Topic :: Utilities
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU Lesser General Public License v3 or later (LGPLv3+)
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Operating System :: OS Independent
Classifier: Typing :: Typed
Requires-Python: >=3.8
Requires-Dist: matplotlib
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: scipy
Requires-Dist: sympy
Requires-Dist: PyWavelets
Requires-Dist: time-series-buffer
Requires-Dist: black[jupyter]; extra == "dev"
Requires-Dist: hypothesis; extra == "dev"
Requires-Dist: ipykernel; extra == "dev"
Requires-Dist: ipython; extra == "dev"
Requires-Dist: myst-parser; extra == "dev"
Requires-Dist: nbsphinx; extra == "dev"
Requires-Dist: pytest; extra == "dev"
Requires-Dist: pytest-cov; extra == "dev"
Requires-Dist: pytest-custom-exit-code; extra == "dev"
Requires-Dist: python-semantic-release (<8); extra == "dev"
Requires-Dist: sphinx; extra == "dev"
Requires-Dist: sphinx-rtd-theme; extra == "dev"
Requires-Dist: tox; extra == "dev"
Requires-Dist: tweepy; extra == "dev"
Requires-Dist: notebook; extra == "examples"
Provides-Extra: dev
Provides-Extra: examples
Description-Content-Type: text/markdown
[Description omitted; length: 10207 characters]

WHEEL

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

RECORD

Path Digest Size
PyDynamic/__init__.py sha256=pPITFeWNMWrRkzgHC_RLP-Ytc8MFPg9dwjrOoYEGZ7A 1958
PyDynamic/signals.py sha256=ltJs1kJKXSnuTgdruHO07zNGOg8dtyG_SiQwc7xJC6Y 9972
PyDynamic/deconvolution/__init__.py sha256=nDlviN1ZOZhkY_RH3Uudpg7vVwzIHrs8L6Exjio1ZXQ 763
PyDynamic/deconvolution/fit_filter.py sha256=xlVP8EM91Vz3yYJGIk8yo2UqDm7DHhjX5n1t4etWpkE 2422
PyDynamic/examples/DFT and iDFT with PyDynamic - best practice guide and use cases.ipynb sha256=6s_JO7gN9x6034SJwh7_xusrT2-_BDH3gqWxI0TXnSI 1200891
PyDynamic/examples/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
PyDynamic/examples/demonstrate_fit_som.py sha256=f0rOC27vHElTZSgvO9URM4u5z2ZTywjzRDX32dGRKwg 1785
PyDynamic/examples/working_with_signals.py sha256=mGAA8wXis0hFaiY56JHO4yEdtQqYeQcc4O-GlMkWCi8 1268
PyDynamic/examples/Interpolating/validation_spline_interp_with_MC.py sha256=HdRaIgLalVr7-EcBXz5LINYPAJGQx6kQHPHjluh8-Ns 1343
PyDynamic/examples/Shock calibration/Input estimation for shock acceleration example.ipynb sha256=HqjWK66D-fWHBFK8mhbzBQE9VAuMH6qa8LUZM6Rbrvk 165874
PyDynamic/examples/Shock calibration/measured_input_accel.txt sha256=CdhxZxqCpW_m_DbqZtJx2cHuq2pU81dQpyMoeXUp-KA 324000
PyDynamic/examples/Shock calibration/measured_output_accel.txt sha256=2tI-LpsObDOp0X-WAfwCjT6H94wGDXA41vyZEiB6XJc 324000
PyDynamic/examples/Shock calibration/sinusoidal_calibration_values.txt sha256=M4NTQPF1fgDdyJoIMqU8Rx2xnpOpQpWteyp2z7lw8WM 3724
PyDynamic/examples/digital_filtering/Design of a digital deconvolution filter (FIR type).ipynb sha256=g4_d6usuSQ4mMjrkG45QFr3W_7_qZ7127QUPmxmcVjw 730515
PyDynamic/examples/digital_filtering/FIRuncFilter_runtime_comparison.py sha256=PFks_-5FQ_RlC1wTtnEQPVq9sFVpuqGW0ChbWw9lki8 1996
PyDynamic/examples/digital_filtering/deconv_FIR.py sha256=Y5elD5-igweeX4HQUfFgIu7JRZtht7xb5ksQS3z3lIk 5084
PyDynamic/examples/digital_filtering/identify_IIR.py sha256=e0If6vEdkrSuiytMf5cLSDf9i78KC0rxAKbGd9OlREw 1871
PyDynamic/examples/digital_filtering/realtime_dwt.py sha256=NxaYcK4i-faXP0pEPUYVhwUHDcIl55sk70-QNxwgoOE 5971
PyDynamic/examples/digital_filtering/speed_comparison_filter.py sha256=oOrIR8ytXvJPhpBbBadhLZ8p6HAk60aGuQKXGZn7LLk 1899
PyDynamic/examples/digital_filtering/uncpropagation_FIR.py sha256=5ZFq3htgRgVX-kgNTIClkxyBwPDT5PvJVg3yAfpYX20 1813
PyDynamic/examples/digital_filtering/uncpropagation_IIR.py sha256=NWIdc61StXk-Y_X9lLvwGPWYgZ2O80bnUZp_9suM7Eg 2207
PyDynamic/examples/digital_filtering/validate_DWT_monte_carlo.py sha256=D7yRXQtWsVDzIFA5Sm-If0Y9FChNDpb7Al0Jg_EK1f0 3105
PyDynamic/examples/digital_filtering/validate_FIR_IIR_MC.py sha256=5HH4qdkfvDL1MH9S7CzrRTC-4qPNvIyxhXd_S1XwXf8 2470
PyDynamic/examples/digital_filtering/validate_FIRuncFilter.py sha256=Zcsr4bfuyTyidzDPwX1SA0c8ptsB1F60eRbhAG8-0fo 4470
PyDynamic/examples/uncertainty_for_dft/DFT_amplitude_phase.py sha256=RAIlDq-lR7ujYfbPBAAjWLGqHWcpS3KG5DBpLRDNFdA 3457
PyDynamic/examples/uncertainty_for_dft/DFTdeconv calibration.dat sha256=dqBGEoXXMDiCdk9awzVS9ES7cFUVF2nb_KgZhHiSXnc 256616
PyDynamic/examples/uncertainty_for_dft/DFTdeconv measured_signal.dat sha256=GidVhLqJIGBW7RAhg_9K4SM9cE6vz87_SY0cZu0caHg 50594
PyDynamic/examples/uncertainty_for_dft/DFTdeconv reference_signal.dat sha256=9hgKP682gwtVnY3WItaByA8J8q1h0o9wRC2SMAEjX3M 50623
PyDynamic/examples/uncertainty_for_dft/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
PyDynamic/examples/uncertainty_for_dft/deconv_DFT.py sha256=vty6UUD0BM-CFzkeN_zboHqDPqqGbNVClU2JG4uETLU 6197
PyDynamic/examples/uncertainty_for_dft/__pycache__/DFT_amplitude_phase.cpython-310.pyc sha256=mfi-21YnGZ9qD6Zq6byT00SyK15T2wihR48dwDQ3nYQ 2751
PyDynamic/examples/uncertainty_for_dft/__pycache__/DFT_amplitude_phase.cpython-38.pyc sha256=o8qF_-ddPw82PrnY7X9SookKqFpGqZm2hXwLcCRvozs 2759
PyDynamic/examples/uncertainty_for_dft/__pycache__/DFT_amplitude_phase.cpython-39.pyc sha256=McF6noRsFFhXY-UBawPW_hH0E75Liqh0hAlH4VrwNJQ 2743
PyDynamic/examples/uncertainty_for_dft/__pycache__/__init__.cpython-310.pyc sha256=GZxBgWmPN1RdocCVI-BbzXkhrsXSw-HoZnoCFXwdyXw 177
PyDynamic/examples/uncertainty_for_dft/__pycache__/__init__.cpython-38.pyc sha256=m7Jqw7LOjp_EE4LAEcEA4XzAVuL2vZV_-wHSc-ZQ9SA 175
PyDynamic/examples/uncertainty_for_dft/__pycache__/__init__.cpython-39.pyc sha256=U0EiAJkUVwX2seX3VB2-fQ-3VT5LEnizxqSilwJZ7nM 175
PyDynamic/examples/uncertainty_for_dft/__pycache__/deconv_DFT.cpython-310.pyc sha256=GywE9wAeqDlYpuYj1O2UBlB_aaaAwjPplqAVPN4lL6E 5822
PyDynamic/examples/uncertainty_for_dft/__pycache__/deconv_DFT.cpython-38.pyc sha256=Wo1vSloVeCRH53i3Gjh5Fg9Nv5Q56EBq5CLw1MT4w4A 5798
PyDynamic/examples/uncertainty_for_dft/__pycache__/deconv_DFT.cpython-39.pyc sha256=qeRqDqUzqh5oCMnK_wiK6gOB7O_myx7UBOJ173nKn1s 5812
PyDynamic/identification/__init__.py sha256=AkMZ64Z-zrty49COt0p4lTgvnDVjF52oHR-U3Ne5aR4 409
PyDynamic/identification/fit_filter.py sha256=AfBZPgZKxvwT1HzSpj0eSQXCBSTYm3e-nlz6DrXlwek 1034
PyDynamic/identification/fit_transfer.py sha256=PSy9aDMZf7j7HKywSLea9ao5DwaXqztlWmc3Kr0bcD0 847
PyDynamic/misc/SecondOrderSystem.py sha256=MPryHNTM3-DeKS0eHUiLi6AhH-Z5TgQqhqQjDPcM46U 5838
PyDynamic/misc/__init__.py sha256=_PGa3yFhzRI-zF9wcaQH4JAdMGBpQzWr0X1vg2PCQuo 1884
PyDynamic/misc/filterstuff.py sha256=ot22r919MQXHQLsG2drNEwm-pPPkom86XAFT32qPR0s 7936
PyDynamic/misc/impinvar.py sha256=XFlIFmROLNUbND6NqNdkuMyhas5dPQf4ZVL_UOjfpEw 7847
PyDynamic/misc/impinvar_license.txt sha256=ltAlTV3g0XpVRcok1g2VthKOJWbur2Wi3Ek9CSHs09o 31963
PyDynamic/misc/noise.py sha256=RdoMwJA_n6PsafWKgbXq99gvbIuZvgkqmo2TETWGAE8 7217
PyDynamic/misc/testsignals.py sha256=htJch73foKOm0IqtAiR_fAXhGp-iqVtsjeL9RqN5yIo 8724
PyDynamic/misc/tools.py sha256=kQvZ1jIR9KVLMcHXgUZ7CN78WDADO_PVOHuLrIVeBS8 23151
PyDynamic/model_estimation/__init__.py sha256=3yOB_tRjusYh9WKH_FM1rl0T170peuueu2aOsAhqlWU 710
PyDynamic/model_estimation/fit_filter.py sha256=YAly5iKdeiGqlA82kiiCwOUTBDk7R4tSv8PBSjYoxzM 39343
PyDynamic/model_estimation/fit_transfer.py sha256=E1689fXI9YZRokJL3GG_xF1tCSiToTb7JbcUccpN85Y 9530
PyDynamic/uncertainty/__init__.py sha256=kaItJ--JEux8Y_pHDET8lYqEzBWZRLTEYP9DOx_Ryt4 1705
PyDynamic/uncertainty/interpolate.py sha256=H-icnlcBlYFw7hShAog4ELK_zAO1zBjR8sxNNqss__k 17787
PyDynamic/uncertainty/interpolation.py sha256=KbwaU0sbWUGEP3Esl2cnHPjydOd5eoTU3RSbZhWb0zA 773
PyDynamic/uncertainty/propagate_DFT.py sha256=EAWwWxX7l2Sqp8T8q4mpvjdD8F9yswmgcFsfz1TxtPo 39847
PyDynamic/uncertainty/propagate_DWT.py sha256=TekAJIVqVqzY54OGlM1982Fa37a6AfDELnWlyWpt38s 14351
PyDynamic/uncertainty/propagate_MonteCarlo.py sha256=CzdFAvjWzaLFeMatyB8eSKX8gj41EOkAqXj9s062VB0 27932
PyDynamic/uncertainty/propagate_convolution.py sha256=UzHK9ZZx37-XIRE7bEBKI_CiFMNsUzqEfuQqIT5xYXA 6282
PyDynamic/uncertainty/propagate_filter.py sha256=JvzIeaogRVupq8_B1mwNVV-tyJ2qDQzfD13AkOOkoYY 26281
PyDynamic/uncertainty/propagate_multiplication.py sha256=gWEOh9rB1uUoJxcS_iPoRU-ugt82ECrvPjsO5yWsmPs 6743
PyDynamic-2.5.1.dist-info/METADATA sha256=QNMn-bz8YiH1wiCsduWIb2Q6npdEDe4udgAQO_2KgXo 12574
PyDynamic-2.5.1.dist-info/WHEEL sha256=G16H4A3IeoQmnOrYV4ueZGKSjhipXx8zc8nu9FGlvMA 92
PyDynamic-2.5.1.dist-info/top_level.txt sha256=3DjIFYPunk6__mTHjr9rrlzjfsfaW8KQ37Bc1u0kbuQ 10
PyDynamic-2.5.1.dist-info/RECORD — —

top_level.txt

PyDynamic