from Data import State, County
+# Create the State objects.
dc = State(11, 'District of Columbia')
md = State(24, 'Maryland')
ny = State(36, 'New York')
pa = State(42, 'Pennsylvania')
va = State(51, 'Virginia')
+wv = State(54, 'West Virginia')
+
+
+# Now we add all of the counties belonging to each state, starting
+# with Washington D.C.
-# Washington D.C.
dc.add_county(1, 'District of Columbia', True)
+
# Maryland
+
md.add_county(1, 'Allegany')
md.add_county(3, 'Anne Arundel')
md.add_county(5, 'Baltimore')
md.add_county(45, 'Wicomico')
md.add_county(47, 'Worcester')
+
# New York
+
ny.add_county(1, 'Albany')
ny.add_county(3, 'Allegany')
ny.add_county(5, 'Bronx')
# Pennsylvania
+
pa.add_county(1, 'Adams')
pa.add_county(3, 'Allegheny')
pa.add_county(5, 'Armstrong')
pa.add_county(131, 'Wyoming')
pa.add_county(133, 'York')
+
+# Virginia
+
va.add_county(1, 'Accomack')
va.add_county(3, 'Albemarle')
va.add_county(5, 'Alleghany')
va.add_county(840, 'Winchester city', True)
-states = [dc, md, ny, pa, va]
+# West Virginia
+
+wv.add_county(1, 'Barbour')
+wv.add_county(3, 'Berkeley')
+wv.add_county(5, 'Boone')
+wv.add_county(7, 'Braxton')
+wv.add_county(9, 'Brooke')
+wv.add_county(11, 'Cabell')
+wv.add_county(13, 'Calhoun')
+wv.add_county(15, 'Clay')
+wv.add_county(17, 'Doddridge')
+wv.add_county(19, 'Fayette')
+wv.add_county(21, 'Gilmer')
+wv.add_county(23, 'Grant')
+wv.add_county(25, 'Greenbrier')
+wv.add_county(27, 'Hampshire')
+wv.add_county(29, 'Hancock')
+wv.add_county(31, 'Hardy')
+wv.add_county(33, 'Harrison')
+wv.add_county(35, 'Jackson')
+wv.add_county(37, 'Jefferson')
+wv.add_county(39, 'Kanawha')
+wv.add_county(41, 'Lewis')
+wv.add_county(43, 'Lincoln')
+wv.add_county(45, 'Logan')
+wv.add_county(47, 'McDowell')
+wv.add_county(49, 'Marion')
+wv.add_county(51, 'Marshall')
+wv.add_county(53, 'Mason')
+wv.add_county(55, 'Mercer')
+wv.add_county(57, 'Mineral')
+wv.add_county(59, 'Mingo')
+wv.add_county(61, 'Monongalia')
+wv.add_county(63, 'Monroe')
+wv.add_county(65, 'Morgan')
+wv.add_county(67, 'Nicholas')
+wv.add_county(69, 'Ohio')
+wv.add_county(71, 'Pendleton')
+wv.add_county(73, 'Pleasants')
+wv.add_county(75, 'Pocahontas')
+wv.add_county(77, 'Preston')
+wv.add_county(79, 'Putnam')
+wv.add_county(81, 'Raleigh')
+wv.add_county(83, 'Randolph')
+wv.add_county(85, 'Ritchie')
+wv.add_county(87, 'Roane')
+wv.add_county(89, 'Summers')
+wv.add_county(91, 'Taylor')
+wv.add_county(93, 'Tucker')
+wv.add_county(95, 'Tyler')
+wv.add_county(97, 'Upshur')
+wv.add_county(99, 'Wayne')
+wv.add_county(101, 'Webster')
+wv.add_county(103, 'Wetzel')
+wv.add_county(105, 'Wirt')
+wv.add_county(107, 'Wood')
+wv.add_county(109, 'Wyoming')
+
+# Now that the counties have been added, create a list of states to
+# pass to the download_lines function.
+states = [dc, md, ny, pa, va, wv]
Data.download_lines(states)