-eDUdZddlmZddlZejeZddlZddlm cm Z ddl m Z ddlmZmZddlZerddlmZddlmZmZerdd lmZd ZeZd ed <eZd ed <GddeZddZ e Z!dS)a This modules exposes geometry data for Unites States. This module contains one dict: ``data``. The data is indexed by two-tuples of ``(state_id, county_id)`` that have the following dictionaries as values: .. code-block:: ipython In [25]: data[(1,1)] Out[25]: { 'name': 'Autauga', 'detailed name': 'Autauga County, Alabama', 'state': 'al', 'lats': [32.4757, ..., 32.48112], 'lons': [-86.41182, ..., -86.41187] } Entries for ``'name'`` can have duplicates for certain states (e.g. Virginia). The combination of ``'detailed name'`` and ``'state'`` will always be unique. .. bokeh-sampledata-xref:: us_counties ) annotationsN)nan) TYPE_CHECKING TypedDict)NDArray) external_pathopen_csv) TypeAlias)datar StateCountycBeZdZUded<ded<ded<ded<ded<dS) CountyDatastrname detailed_namestatezNDArray[np.float64]latslonsN)__name__ __module__ __qualname____annotations__z_read_data..ns5FFq!''#,,rr*FFFFFFrcPg|]#\}}t|t|f$Sr)float)r'lonlats r z_read_data..os-%V%V%V83uSzz5::&>%V%V%Vr)rrrrrN)r r nextcsvreaderet fromstring enumeratefindallappendr isinstancetextrr&listzipextendrnparrayint)r fr1rowr_rgeometrydet_namestate_id county_idxmlrripolycoordsr-r,s r _read_datarJ[s 46D - 122 3 3q QA<<<  CX[ UD!UAxAq(HiQRTU-))C "D "D$S[[1\%]%]^^ ! !4q55KK$$$KK$$$!$)S11111FFDIOO4E4EFFF%V%Vv%V%V%V WXXS C    C    4> (x~~x~~ 555D#h--Y0 1 1 2 KsFGG G )rr)"__doc__ __future__rlogging getLoggerrlogr0xml.etree.ElementTreeetree ElementTreer2mathrtypingrrnumpyr< numpy.typingrutil.sampledatar r typing_extensionsr __all__r>r rrrrJr rrrrZsj6#"""""g!! """""""""++++++++%$$$$$$65555555,++++++   Jz||r