bMhgddlZddlZddlZddlZejdZej dZ ej dZ ej dZ ej dZ ej dZdS)Nz pywt.datactjtd5}t j|d}dddn #1swxYwY|S)a Get an 8-bit grayscale bit-depth, 512 x 512 derived image for easy use in demos The image is derived from accent-to-the-top.jpg at http://www.public-domain-image.com/people-public-domain-images-pictures/ Parameters ---------- None Returns ------- ascent : ndarray convenient image to use for testing and demonstration Examples -------- >>> import pywt.data >>> ascent = pywt.data.ascent() >>> ascent.shape == (512, 512) True >>> ascent.max() 255 >>> import matplotlib.pyplot as plt >>> plt.gray() >>> plt.imshow(ascent) >>> plt.show() z ascent.npzdataN importlib resourcesas_file_DATADIRjoinpathnpload)fascents R/var/www/html/test/jupyter/venv/lib/python3.11/site-packages/pywt/data/_readers.pyrr sD   $ $X%6%6|%D%D E E$F#$$$$$$$$$$$$$$$ MAA#&A#ctjtd5}t j|d}dddn #1swxYwY|S)a! Get an 8-bit grayscale bit-depth, 512 x 512 derived image for easy use in demos Parameters ---------- None Returns ------- aero : ndarray convenient image to use for testing and demonstration Examples -------- >>> import pywt.data >>> aero = pywt.data.ascent() >>> aero.shape == (512, 512) True >>> aero.max() 255 >>> import matplotlib.pyplot as plt >>> plt.gray() >>> plt.imshow(aero) >>> plt.show() zaero.npzrNr)r aeros rrr2s>   $ $X%6%6z%B%B C C"qwqzz&!""""""""""""""" Krctjtd5}t j|d}dddn #1swxYwY|S)a Get an 8-bit grayscale bit-depth, 512 x 512 derived image for easy use in demos Parameters ---------- None Returns ------- camera : ndarray convenient image to use for testing and demonstration Notes ----- No copyright restrictions. CC0 by the photographer (Lav Varshney). .. versionchanged:: 0.18 This image was replaced due to copyright restrictions. For more information, please see [1]_, where the same change was made in scikit-image. References ---------- .. [1] https://github.com/scikit-image/scikit-image/issues/3927 Examples -------- >>> import pywt.data >>> camera = pywt.data.ascent() >>> camera.shape == (512, 512) True >>> import matplotlib.pyplot as plt >>> plt.gray() >>> plt.imshow(camera) >>> plt.show() z camera.npzrNr)r cameras rrrWsT   $ $X%6%6|%D%D E E$F#$$$$$$$$$$$$$$$ Mrctjtd5}t j|d}dddn #1swxYwY|S)a Get 1024 points of an ECG timeseries. Parameters ---------- None Returns ------- ecg : ndarray convenient timeseries to use for testing and demonstration Examples -------- >>> import pywt.data >>> ecg = pywt.data.ecg() >>> ecg.shape == (1024,) True >>> import matplotlib.pyplot as plt >>> plt.plot(ecg) [] >>> plt.show() zecg.npzrNr)r ecgs rrrs4   $ $X%6%6y%A%A B B!agajj !!!!!!!!!!!!!!! Jrctjtd5}t j|d}dddn #1swxYwYtt j|j ddz dz}t j t j t j |d|df|dzdfd }|t j |z t j |d z }d }t jt||zd z}||fS)a This data contains the averaged monthly sea surface temperature in degrees Celsius of the Pacific Ocean, between 0-10 degrees South and 90-80 degrees West, from 1950 to 2016. This dataset is in the public domain and was obtained from NOAA. National Oceanic and Atmospheric Administration's National Weather Service ERSSTv4 dataset, nino 3, http://www.cpc.ncep.noaa.gov/data/indices/ Parameters ---------- None Returns ------- time : ndarray convenient timeseries to use for testing and demonstration sst : ndarray convenient timeseries to use for testing and demonstration Examples -------- >>> import pywt.data >>> time, sst = pywt.data.nino() >>> sst.shape == (264,) True >>> import matplotlib.pyplot as plt >>> plt.plot(time,sst) [] >>> plt.show() z sst_nino3.npzrNrg(@)axis)ddofg?gx@)rrrr r r r intfloorshapemeanreshapearraystdarangelen)r sst_csvnsstdttimes rninor,sM@   $ $X%6%6%G%G H H%A'!**V$%%%%%%%%%%%%%%% BHW]1%c) * *3 .//A '"*RXg..rr1u51bzBB K K KC  !!4!4!4 4C B 9SXX   #f ,D 9r) functoolsimportlib.resourcesrosnumpyr rfilesr cacherrrrr,rr5s    $ $[ 1 1 $$$N !!!H ,,,^ > ,,,,,r4