-i$ hSrSSKrSSKJr SSKJrJr SSKJrJ r J r SSK J r SSK r SSKrSSKJr SS KJrJr S S KJr S S KJrJrJr \"S SSS9r\"SSSS9rSr\R<"\5r S\RB4Sjr"Sr#Sr$\"\%\S/S/\"\S SSS9/\"\SSSS9/S.SS 9SSS!S"S.S#j5r&g)$a ============================= Species distribution dataset ============================= This dataset represents the geographic distribution of species. The dataset is provided by Phillips et. al. (2006). The two species are: - `"Bradypus variegatus" `_ , the Brown-throated Sloth. - `"Microryzomys minutus" `_ , also known as the Forest Small Rice Rat, a rodent that lives in Peru, Colombia, Ecuador, Peru, and Venezuela. References ---------- `"Maximum entropy modeling of species geographic distributions" `_ S. J. Phillips, R. P. Anderson, R. E. Schapire - Ecological Modelling, 190:231-259, 2006. N)BytesIO)IntegralReal)PathLikemakedirsremove)exists)Bunch)Intervalvalidate_params) get_data_home)RemoteFileMetadata _fetch_remote _pkl_filepathz samples.zipz.https://ndownloader.figshare.com/files/5976075@abb07ad284ac50d9e6d20f1c4211e0fd3c098f7f85955e89d321ee8efe37ac28)filenameurlchecksumz coverages.zipz.https://ndownloader.figshare.com/files/5976078@4d862674d72e79d6cee77e63b98651ec7926043ba7d39dcb31329cf3f6073807zspecies_coverage.pkzc [U5Vs/sHo0R5PM nnSn[UVs/sH oe"U5PM sn5n[R"XS9n[ US5nUS:waSXx'U$s snfs snf)zbLoad a coverage file from an open file object. This will return a numpy array of the given dtype c`UR5S[UR5S54$)Nrr)splitfloat)ts Z/var/www/html/venv/lib/python3.13/site-packages/sklearn/datasets/_species_distributions.py _load_coverage..Is"AGGIaL% ! *=>dtypes NODATA_valuei)rangereadlinedictnploadtxtint) F header_lengthr#_header make_tuplelineMnodatas r_load_coverager2Cs~ %*-$8 9$8qjjl$8F 9>J 7:d#7 8F 1"A ( )F  H:7s A;BcUR5RS5R5RS5n[R "USSSS9nXR lU$)zLoad csv file. Parameters ---------- F : file object CSV file open in byte mode. Returns ------- rec : np.ndarray record array representing the data ascii,rz S22,f4,f4)skiprows delimiterr#)r%decodestriprr'r(r#names)r*r:recs r _load_csvr<SsP JJL   ( . . 0 6 6s ;E **Qc ECIIO Jr!c\URUR-nXRUR--nURUR-nX0RUR--n[ R "XUR5n[ R "X4UR5nXV4$)aConstruct the map grid from the batch object Parameters ---------- batch : Batch object The object returned by :func:`fetch_species_distributions` Returns ------- (xgrid, ygrid) : 1-D arrays The grid corresponding to the values in batch.coverages )x_left_lower_corner grid_sizeNxy_left_lower_cornerNyr'arange)batchxminxmaxyminymaxxgridygrids rconstruct_gridsrKgs  $ $u 6D 88eoo- .D  $ $u 6D 88eoo- .D IId%// 2E IId%// 2E >r!booleanleft)closedgneither) data_homedownload_if_missing n_retriesdelayT)prefer_skip_nested_validationg?c[U5n[U5(d [U5 [SSSSSS9n[R n[ U[5n[U5(GdU(d [S5e[RS[R<S U<35 [[XUS 9n[R"U5nURH4n [!X5n S U ;a [#U 5n S U ;dM)[#U 5n M6 S S S 5 [%U5 [RS[&R<S U<35 [[&XUS 9n [R"U 5n/nURHNn [!X5n [R)SR+U 55 UR-[/U 55 MP [R0"XS9nS S S 5 [%U 5 [3SWW W S.UD6n[4R6"XSS9 U$[4R"U5nU$!,(df  GN0=f!,(df  Ni=f)a Loader for species distribution dataset from Phillips et. al. (2006). Read more in the :ref:`User Guide `. Parameters ---------- data_home : str or path-like, default=None Specify another download and cache folder for the datasets. By default all scikit-learn data is stored in '~/scikit_learn_data' subfolders. download_if_missing : bool, default=True If False, raise an OSError if the data is not locally available instead of trying to download the data from the source site. n_retries : int, default=3 Number of retries when HTTP errors are encountered. .. versionadded:: 1.5 delay : float, default=1.0 Number of seconds between retries. .. versionadded:: 1.5 Returns ------- data : :class:`~sklearn.utils.Bunch` Dictionary-like object, with the following attributes. coverages : array, shape = [14, 1592, 1212] These represent the 14 features measured at each point of the map grid. The latitude/longitude values for the grid are discussed below. Missing data is represented by the value -9999. train : record array, shape = (1624,) The training points for the data. Each point has three fields: - train['species'] is the species name - train['dd long'] is the longitude, in degrees - train['dd lat'] is the latitude, in degrees test : record array, shape = (620,) The test points for the data. Same format as the training data. Nx, Ny : integers The number of longitudes (x) and latitudes (y) in the grid x_left_lower_corner, y_left_lower_corner : floats The (x,y) position of the lower-left corner, in degrees grid_size : float The spacing between points of the grid, in degrees Notes ----- This dataset represents the geographic distribution of species. The dataset is provided by Phillips et. al. (2006). The two species are: - `"Bradypus variegatus" `_ , the Brown-throated Sloth. - `"Microryzomys minutus" `_ , also known as the Forest Small Rice Rat, a rodent that lives in Peru, Colombia, Ecuador, Peru, and Venezuela. References ---------- * `"Maximum entropy modeling of species geographic distributions" `_ S. J. Phillips, R. P. Anderson, R. E. Schapire - Ecological Modelling, 190:231-259, 2006. Examples -------- >>> from sklearn.datasets import fetch_species_distributions >>> species = fetch_species_distributions() >>> species.train[:5] array([(b'microryzomys_minutus', -64.7 , -17.85 ), (b'microryzomys_minutus', -67.8333, -16.3333), (b'microryzomys_minutus', -67.8833, -16.3 ), (b'microryzomys_minutus', -67.8 , -16.2667), (b'microryzomys_minutus', -67.9833, -15.9 )], dtype=[('species', 'S22'), ('dd long', 'r@rArBr?z1Data not found and `download_if_missing` is FalsezDownloading species data from z to )dirnamerRrStraintestNzDownloading coverage data from z - converting {}r") coveragesrYrX )compress)rr rr&r'int16rDATA_ARCHIVE_NAMEOSErrorloggerinfoSAMPLESrrloadfilesrr<r COVERAGESdebugformatappendr2asarrayr joblibdump)rPrQrRrS extra_paramsr# archive_path samples_pathXffhandlerXrYcoverages_pathrZbunchs rfetch_species_distributionsrusRi(I )   ! "  L HHE ,=>L ,  "MN N  YWX$ Y5 WW\ "aWW!!$-a<%g.EQ;$W-D # | 9B R ' yU WW^ $IWW!!$- /66q9:  !89 9:I % ~R ER\R E!4 L L) L;# "% $s2H5=H5/A5I5 I I)'__doc__loggingiornumbersrrosrrros.pathr rknumpyr'utilsr utils._param_validationr r r_baserrrrcrfr_ getLogger__name__rar^r2r<rKstrrur]r!rrs<")) ?CC  8 O   8 O  +   8 $%&RXX  (68T* ){xD@A4d9=>  #' VVr!