!\iSrSSKrSSKrSSKrSSKrSSKrSSKrSSKJ r SSK J r SSK J r \R"\5r"SS5r\R$"5\ R&\ R(\R*\R,\R.\R0\R2\R4\R6"S\R8SS S 9\R:S 55555555555rg) z9rio blocks prints a dataset's blocks as GeoJSON features.N)options)write_features)transform_boundsc>\rSrSrSrS SjrSr\S5rSr Sr g) _Collectionz5For use with `rasterio.rio.helpers.write_features()`.c4XlX lX0lX@lg)avExport raster dataset windows to GeoJSON polygon features. Parameters ---------- dataset : a dataset object opened in 'r' mode Source dataset bidx : int Extract windows from this band precision : int, optional Coordinate precision geographic : bool, optional Reproject geometries to ``EPSG:4326`` if ``True`` Yields ------ dict GeoJSON polygon feature N)_src_bidx _precision _geographic)selfdatasetbidx precision geographics V/var/www/html/kml_chatgpt/mouzaenv/lib/python3.13/site-packages/rasterio/rio/blocks.py__init___Collection.__init__s*  #%c^TR(a![TRRS/UQ76nTRS:a U4SjU5nU$)Nz EPSG:4326rc3P># UHn[UTR5v M g7fN)roundr ).0vrs r 0_Collection._normalize_bounds..5s@AeAt//s#&)r rr crsr )rboundss` r_normalize_bounds_Collection._normalize_bounds1s@   %diimm[J6JF ??a @@F rc^[URURR55$r)tupler!r r )rs rbbox_Collection.bbox8s"T++DII,<,<=>>rc ## URRURS9n[U5Hunup4UR URR U55nUupgpS[ RRURR5SU3[R"U5UR5S.SXg4Xi4X4X4//S.S.v M g7f)N)rFeature:)blockwindowPolygon)type coordinates)r-id propertiesgeometry) r block_windowsr enumerater! window_boundsospathbasenamenamejsondumpstodict) rgenidxr*r+r xminyminxmaxymaxs r__call___Collection.__call__<sii%%4::%6$-cN C%++DII,C,CF,KLF%+ "D!))$))..9:!C5A!ZZ.$mmo &    %$ %3sCC)r r r r N)T) __name__ __module__ __qualname____firstlineno____doc__rr!propertyr%rB__static_attributes__rrrrs(?&4??rrz--bidxz/Index of the band that is the source of shapes.)r-defaulthelpc SS0n U(aXJS'U(aSU S'U(a[R"US5O[R"S5n URS [R "U5n U (a%XR ;a[R"S 5e[U U UUS :gS 9n [U U 4UU(aS OS US.U D6 SSS5 SSS5 g!,(df  N=f!,(df  g=f)aWrite dataset blocks as GeoJSON features. This command prints features describing a raster's internal blocks, which are used directly for raster I/O. These features can be used to visualize how a windowed operation would operate using those blocks. Output features have two JSON encoded properties: block and window. Block is a two element array like [0, 0] describing the window's position in the input band's window layout. Window is a JSON serialization of rasterio's Window class like {"col_off": 0, "height": 3, "row_off": 705, "width": 791}. Block windows are extracted from the dataset (all bands must have matching block windows) by default, or from the band specified using the --bidx option:  rio blocks --bidx 3 tests/data/RGB.byte.tif By default a GeoJSON FeatureCollection is written, but the --sequence option produces a GeoJSON feature stream instead.  rio blocks tests/data/RGB.byte.tif --sequence Output features are reprojected to OGC:CRS84 (WGS 84) unless the --projected flag is provided, which causes the output to be kept in the input datasource's coordinate reference system. For more information on exactly what blocks and windows represent, see block_windows(). sort_keysTindent),r) separatorswstdoutenvzNot a valid band index projected)rrrrfeature collection)sequence geojson_typeuse_rsN) click open_fileget_text_streamobjrasterioopenindexes BadParameterrr)ctxinputoutputrrQcompact projectionrZr\r dump_kwdsrUsrcrYs rblocksrlTsdd#I $(", ,__$)$9$9($C  u- D +$$%=> > ![0     &.L    .--s%C.6AC C. C+ 'C.. C<)rIr9loggingos.pathr5r]cligjra rasterio.riorrasterio.rio.helpersr rasterio.warpr getLoggerrEloggerrcommand file_in_arg output_opt precision_opt indent_opt compact_optprojection_projected_opt sequence_opt use_rs_optoptionINT pass_contextrlrLrrrs?   /*   8 $>>B 599a :<A < A r