Datasets:
thisisanshgupta
/
Pycode

Dataset card Data Studio Files
xet
 Community
text
stringlengths
0
828
body = None
downloaded = True
return url, body"
4131,"def tgcanrecruit(self, region=None):
""""""Whether the nation will receive a recruitment telegram.
Useful in conjunction with the Telegrams API.
Parameters
----------
region : str
Name of the region you are recruiting for.
Returns
-------
an :class:`ApiQuery` of bool
""""""
params = {'from': normalize(region)} if region is not None else {}
@api_query('tgcanrecruit', **params)
async def result(_, root):
return bool(int(root.find('TGCANRECRUIT').text))
return result(self)"
4132,"async def freedom(self, root):
""""""Nation's `Freedoms`: three basic indicators of the nation's
Civil Rights, Economy, and Political Freedom, as expressive
adjectives.
Returns
-------
an :class:`ApiQuery` of :class:`collections.OrderedDict` with \
keys and values of str
Keys being, in order: ``Civil Rights``, ``Economy``, and
``Political Freedom``.
""""""
elem = root.find('FREEDOM')
result = OrderedDict()
result['Civil Rights'] = elem.find('CIVILRIGHTS').text
result['Economy'] = elem.find('ECONOMY').text
result['Political Freedom'] = elem.find('POLITICALFREEDOM').text
return result"
4133,"async def freedomscores(self, root):
""""""Nation's `Freedoms`: three basic indicators of the nation's
Civil Rights, Economy, and Political Freedom, as percentages.
Returns
-------
an :class:`ApiQuery` of :class:`collections.OrderedDict` with \
keys of str and values of int
Keys being, in order: ``Civil Rights``, ``Economy``, and
``Political Freedom``.
""""""
elem = root.find('FREEDOMSCORES')
result = OrderedDict()
result['Civil Rights'] = int(elem.find('CIVILRIGHTS').text)
result['Economy'] = int(elem.find('ECONOMY').text)
result['Political Freedom'] = int(elem.find('POLITICALFREEDOM').text)
return result"
4134,"async def govt(self, root):
""""""Nation's government expenditure, as percentages.
Returns
-------
an :class:`ApiQuery` of :class:`collections.OrderedDict` with \
keys of str and values of float
Keys being, in order: ``Administration``, ``Defense``,
``Education``, ``Environment``, ``Healthcare``, ``Industry``,
``International Aid``, ``Law & Order``, ``Public Transport``,
``Social Policy``, ``Spirituality``, and ``Welfare``.
""""""
elem = root.find('GOVT')
result = OrderedDict()
result['Administration'] = float(elem.find('ADMINISTRATION').text)
result['Defense'] = float(elem.find('DEFENCE').text) # match the web UI
result['Education'] = float(elem.find('EDUCATION').text)
result['Environment'] = float(elem.find('ENVIRONMENT').text)
result['Healthcare'] = float(elem.find('HEALTHCARE').text)
result['Industry'] = float(elem.find('COMMERCE').text) # Don't ask
result['International Aid'] = float(elem.find('INTERNATIONALAID').text)
result['Law & Order'] = float(elem.find('LAWANDORDER').text)
result['Public Transport'] = float(elem.find('PUBLICTRANSPORT').text)
result['Social Policy'] = float(elem.find('SOCIALEQUALITY').text) # Shh
result['Spirituality'] = float(elem.find('SPIRITUALITY').text)
result['Welfare'] = float(elem.find('WELFARE').text)
return result"
4135,"async def sectors(self, root):
""""""Components of the nation's economy, as percentages.
Returns
-------
an :class:`ApiQuery` of :class:`collections.OrderedDict` with \
keys of str and values of float
Keys being, in order: ``Black Market (estimated)``, ``Government``,
``Private Industry``, and ``State-Owned Industry``.
""""""
elem = root.find('SECTORS')
result = OrderedDict()