def test_format(self):
"""
format_degrees
"""
self.assertEqual(
format_degrees(Point.parse_degrees('-13', '19', 0)),
"-13 19\' 0.0\""
)
def test_format(self):
"""
format_degrees
"""
self.assertEqual(format_degrees(Point.parse_degrees("-13", "19", 0)), "-13 19' 0.0\"")
def test_format(self):
"""
format_degrees
"""
self.assertEqual(format_degrees(Point.parse_degrees('-13', '19', 0)),
"-13 19\' 0.0\"")
from geopy.point import Point
from DataCenter.DataCenter import DataCenter
from DataCenter.Geo.GeoRectangle import GeoRectangle
from DataCenter.Query.Query import Query
if __name__ == '__main__':
start_date = input('Desired Start Date (YYYY MM DD): ')
end_date = input('Desired End Date (YYYY MM DD): ')
"""
Brazil Sample
"""
# get brazilian actors
# brDf = pd.read_csv('Scenarios/br_cham_legislators.csv')
# actors = list(brDf.legislator_name)
north = Point.parse_degrees(5, 16, 27.8, 'N')
south = Point.parse_degrees(33, 45, 4.21, 'S')
east = Point.parse_degrees(34, 47, 35.33, 'W')
west = Point.parse_degrees(73, 58, 58.19, 'W')
brazil = GeoRectangle(boundaries=(north, south, east, west), name='Brazil')
query = Query(
geographies=[brazil],
gkgThemes=[
'ENV_DEFORESTATION', 'ETH_INDIGINOUS', 'ENV_FORESTRY',
'PROPERTY_RIGHTS', 'UNGP_FORESTS_RIVERS_OCEANS', 'AGRICULTURE',
'FOOD_SECURITY', 'SELF_IDENTIFIED_HUMANITARIAN_CRISIS',
'SELF_IDENTIFIED_HUMAN_RIGHTS', 'SELF_IDENTIFIED_ATROCITY',
'SLFID_CIVIL_LIBERTIES', 'TAX_FOODSTAPLES', 'FOOD_STAPLE',
'UNSAFE_WORK_ENVIRONMENT', 'HUMAN_TRAFFICKING'
])
def test_format_float_precision(input, expected):
assert format_degrees(Point.parse_degrees(*input)) == expected
def test_format_simple(input, expected):
assert format_degrees(Point.parse_degrees(*input)) == expected
