9iCSSKJr SSKrSSKJr SSKJr SSK J r SSK J r J r SrS rS r\"S /S Q5rS rSrSrSSjrSrSrSrg)) namedtupleN)dtype)is_low_contrast)warn)floorceilgrayviridisRdBuImageProperties)signedout_of_range_floatlow_data_rangeunsupported_dtypec[R"U5[R"U5p!URRn[ R UupEUS:n[R"UR[R5=(a X:=(d X%:nX:g=(a [U5nUR[ R;n [XgX5$![a XpTNf=f)aDetermine nonstandard properties of an input image. Parameters ---------- image : array The input image. Returns ------- ip : ImageProperties named tuple The properties of the image: - signed: whether the image has negative values. - out_of_range_float: if the image has floating point data outside of [-1, 1]. - low_data_range: if the image is in the standard image range (e.g. [0, 1] for a floating point image) but its data range would be too small to display with standard image ranges. - unsupported_dtype: if the image data type is not a standard skimage type, e.g. ``numpy.uint64``. r) npminmaxrtypedtypes dtype_rangeKeyError issubdtypefloatingr_supported_typesr ) imageimminimmaximtypelohirrrrs e/var/www/html/land-doc-ocr/venv/lib/python3.13/site-packages/skimage/io/_plugins/matplotlib_plugin.py_get_image_propertiesr$s.66%="&&-5 [[  F##F+QYFu{{BKK@  ej^>(>N 6+B+BB N  BsC!! C0/C0cUnUR(a [SSS9 UR(a [SSS9 UR(a [SSS9 gg)zRaise the appropriate warning for each nonstandard image type. Parameters ---------- image_properties : ImageProperties named tuple The properties of the considered image. zBNon-standard image type; displaying image with stretched contrast.r) stacklevelz?Low image data range; displaying image with stretched contrast.zLFloat image out of standard range; displaying image with stretched contrast.N)rrrr)image_propertiesips r#_raise_warningsr)>sY B  S   P    - c[U5n[R"U5[R"U5p2UR(a)[[ U5[ U55nU*Upe[ nOX[U5(a[U5 X#pe[nO4SnURRn[RUSn[nXVU4$)aReturn the display range for a given set of image properties. Parameters ---------- image : array The input image. Returns ------- lo, hi : same type as immin, immax The display range to be used for the input image. cmap : string The name of the colormap to use. r)r$rrrrabs_diverging_colormapanyr)_nonstandard_colormaprrrr_default_colormap) rr(rr magnituder!r"cmapr s r#_get_display_ranger4Ys u %B66%="&&-5 yyE CJ/ YB" RB$ !!    ' *  4<r*c SSKJn SSKJn [ U5upgnUR SS5 UR SU5 UR SU5 UR SU5 U=(d UR 5nUR"U40UD6n U[:waUS LdU(a(U"U5n U RS S S S 9n URXS9 UR5R5 U $)aDShow the input image and return the current axes. By default, the image is displayed in grayscale, rather than the matplotlib default colormap. Images are assumed to have standard range for their type. For example, if a floating point image has values in [0, 0.5], the most intense color will be gray50, not white. If the image exceeds the standard range, or if the range is too small to display, we fall back on displaying exactly the range of the input image, along with a colorbar to clearly indicate that this range transformation has occurred. For signed images, we use a diverging colormap centered at 0. Parameters ---------- image : array, shape (M, N[, 3]) The image to display. ax : `matplotlib.axes.Axes`, optional The axis to use for the image, defaults to plt.gca(). show_cbar : boolean, optional. Whether to show the colorbar (used to override default behavior). **kwargs : Keyword arguments These are passed directly to `matplotlib.pyplot.imshow`. Returns ------- ax_im : `matplotlib.pyplot.AxesImage` The `AxesImage` object returned by `plt.imshow`. rN)make_axes_locatable interpolationnearestr3vminvmaxFrightz5%g?)sizepad)cax) matplotlib.pyplotpyplotmpl_toolkits.axes_grid1r6r4 setdefaultgcaimshowr1 append_axescolorbar get_figure tight_layout) rax show_cbarkwargspltr6r!r"r3ax_imdividerr>s r#rDrDzsB$;%e,LBD oy1 fd# fb! fb! swwyB IIe &v &E !!iu&<%b)!!'$!? U $MMO  " Lr*cSSKJn [U5S:a [S5e[U5nUS-S-n[ S[ US- 55n[ US- 5n[ XF- 5n[ XG- 5n [Xh- S- 5[Xy- S- 5:aXhpOXypURXS 9up[R"U 5R5n[U5HunnXR"U/UQ70UD6 M XS 'U $) zDisplay all images in the collection. Returns ------- fig : `matplotlib.figure.Figure` The `Figure` object returned by `plt.subplots`. rNr,z/Number of images to plot must be greater than 0 g?g?)nrowsncolsrI)r?r@len ValueErrorrrr r-subplotsrasarrayravel enumeraterD)icargsrKrL num_imageskr1r2c1c2rRrSfigaxesrInrs r#imshow_collectionres$ 2w{JKKRJ bS A Qa!e B a!eB jo B jo B 27T>S400uu 5 6IC D    !BbM5  U,T,V,"4L Jr*cBSSKnURR"U0UD6$)Nr)matplotlib.imagerimread)r[rK matplotlibs r#rhrhs!    " "D 3F 33r*cSSKJn U"5 g)Nrshow)r?rlrks r# _app_showrms &Fr*)NN) collectionsrnumpyrutilrrexposurer _shared.utilsrmathrr r1r0r.r r$r)r4rDrerhrmr*r#rusd"#'!!K 'T 6B3l F4  r*