def test_get_data(self):
"""
The dict contains the keys `communities_villages` and `water_functioning` and no others.
"""
reducedDict = data.get_data("water_functioning", "communities_villages", jsonUrl).pop()
requiredSet = set(["communities_villages", "water_functioning"])
# Assert that the resulting set is empty. If it is not empty there were other values in the dict.
assert requiredSet - set(reducedDict.keys()) == set()
def test_get_data(self):
"""
The dict contains the keys `communities_villages` and `water_functioning` and no others.
"""
reducedDict = data.get_data("water_functioning",
"communities_villages", jsonUrl).pop()
requiredSet = set(["communities_villages", "water_functioning"])
# Assert that the resulting set is empty. If it is not empty there were other values in the dict.
assert requiredSet - set(reducedDict.keys()) == set()
def percent_water_functioning_by(split_key: str) -> dict:
dataSet = data.get_data("water_functioning", split_key, url)
return compute.rank("water_functioning", split_key, dataSet)
def percent_boolean_key_by(boolean_key, split_key):
dataSet = data.get_data(boolean_key, split_key, url)
return compute.rank(boolean_key, split_key, dataSet)
def calculate (url):
dataSet = data.get_data("water_functioning", "communities_villages", url)
return generateDict(dataSet)
