!\iSrSSKrSSKrSSKrSSKrSSKJr SSKJr SSK J r \R"\ 5r \R"SS9\R\R \R"\R$\R&\R(\R*\R,\R.\R0"S5\R2"S 5\R4"S SS S 9\R4"S S\SSS9\R4"S\SSS9\R4"SS SS 9\R4"SS SS 9\R8S555555555555555555rSrg)z $ rio shapesN)options)dataset_features)write_featuresz+Write shapes extracted from bands or masks.) short_helpTFz --band/--maskz6Choose to extract from a band (the default) or a mask.)defaulthelpz--bidxbandidxz7Index of the band or mask that is the source of shapes.)typerrz --samplingz:Inverse of the sampling fraction; a value of 10 decimates.z--with-nodata/--without-nodataz7Include or do not include (the default) nodata regions.z--as-mask/--not-as-maskzJInterpret a band as a mask and output only one class of valid data shapes.cSS0nU(aXOS'U(aSUS'U(a[R"US5O[R"S5nU c U (aS OU nU(dS n US :XaSOS nURS n[R "U5n[ U[UUUU U UU UUS9 4UU US.UD6 SSS5 SSS5 g!,(df  N=f!,(df  g=f)aExtracts shapes from one band or mask of a dataset and writes them out as GeoJSON. Unless otherwise specified, the shapes will be transformed to WGS 84 coordinates. The default action of this command is to extract shapes from the first band of the input dataset. The shapes are polygons bounding contiguous regions (or features) of the same raster value. This command performs poorly for int16 or float type datasets. Bands other than the first can be specified using the `--bidx` option: $ rio shapes --bidx 3 tests/data/RGB.byte.tif The valid data footprint of a dataset's i-th band can be extracted by using the `--mask` and `--bidx` options: $ rio shapes --mask --bidx 1 tests/data/RGB.byte.tif Omitting the `--bidx` option results in a footprint extracted from the conjunction of all band masks. This is generally smaller than any individual band's footprint. A dataset band may be analyzed as though it were a binary mask with the `--as-mask` option: $ rio shapes --as-mask --bidx 1 tests/data/RGB.byte.tif sort_keysTindent),: separatorswstdoutNr collection geographicFenv)samplingbandas_mask with_nodatar precision)sequence geojson_typeuse_rs)click open_fileget_text_streamobjrasterioopenr feature_gen)ctxinputoutputrrcompact projectionrrrrr rrr dump_kwdsrbidxrrsrcs V/var/www/html/kml_chatgpt/mouzaenv/lib/python3.13/site-packages/rasterio/rio/shapes.pyshapesr/srd#I $(", ,__$)$9$9($C D1gD # #|3J 3 ]]5 !S %# +)'  ")  ! "  ! ! s$C!C 8C C C C(c6^^^"UUU4SjS5nU"U5$)Nc<>\rSrSrSr\S5rUUU4SjrSrg)feature_gen..Collectionrc/UlXlgNbboxesr)selfrs r.__init__(feature_gen..Collection.__init__tsDKHc[UR6upp4[U5[U5[U5[U54$r5)zipr7minmax)r8minxsminysmaxxsmaxyss r.bbox$feature_gen..Collection.bboxxs4),dkk): &E%u:s5z3u:s5zA Ar;c3~># [T/TQ70TD6H%nURRUS5 Uv M' g7f)NrD)rr7append)r8fargskwargsr-s r.__call__(feature_gen..Collection.__call__}s:%c;D;F; ""1V9-rls  ./   8 $GH  %U#otKMh TLNla./.LN'()C)N/NM$& !I2CLr;