def __init__(self, path_rendered, dpkgRoot, dpkg, **kwargs):
Ccoder.__init__(self, dpkgRoot, dpkg, **kwargs)
Data.__init__(self, path_rendered, dpkgRoot, dpkg, **kwargs)
self.path_rendered = os.path.abspath(unicode(path_rendered, 'utf8'))
self.env = Environment(loader=FileSystemLoader(os.path.join(self.path_rendered, 'C', 'templates')))
self.env.filters.update({
'is_prior': lambda x: ('data' in x) and isinstance(x['data'], dict) and ('data' in x['data']) and ('distribution' in x['data']['data'])
})
def __init__(self, path_rendered, dpkgRoot, dpkg, **kwargs):
Ccoder.__init__(self, dpkgRoot, dpkg, **kwargs)
Data.__init__(self, path_rendered, dpkgRoot, dpkg, **kwargs)
self.path_rendered = os.path.abspath(unicode(path_rendered, 'utf8'))
self.env = Environment(loader=FileSystemLoader(os.path.join(self.path_rendered, 'C', 'templates')))
self.env.filters.update({
'is_prior': lambda x: ('require' in x) and ('fields' not in x['require']) and ('data' in x) and ('distribution' in x['data'])
})
def __init__(self, path_rendered, dpkgRoot, dpkg, **kwargs):
Ccoder.__init__(self, dpkgRoot, dpkg, **kwargs)
self.starts = [parse_date(x['start']) for x in self.obs_model]
self.t0 = min(self.starts)
try:
#the .data.json contains all the data and metadata comming from the data package and it's dependencies'
self._data = json.load(open(os.path.join(path_rendered,'.data.json')))
except ValueError, IOError:
raise DataError('could not process .data.json')
def __init__(self, path_rendered, dpkgRoot, dpkg, **kwargs):
path_rendered = unicode(path_rendered, 'utf8')
Ccoder.__init__(self, dpkgRoot, dpkg, **kwargs)
self.starts = [parse_date(x['start']) for x in self.obs_model]
self.t0 = min(self.starts)
try:
#the .data.json contains all the data and metadata comming from the data package and it's dependencies'
self._data = json.load(
open(os.path.join(path_rendered, '.data.json')))
except ValueError, IOError:
raise DataError('could not process .data.json')
def __init__(self, path_rendered, context, process, link):
Context.__init__(self, context)
Ccoder.__init__(self, context, process, link)
self.path_rendered = path_rendered
##map_ts_obs
self.map_ts_obs = {}
for x in link['observed']:
for ts in x['time_series_id']:
self.map_ts_obs[ts] = x['id']
##########################
##sort context
##########################
#tbs: to be sorted
tbs = zip(self.ts_id, self._repeated_name_stream, self._repeated_name_ts)
#sort by data_stream
tbs.sort(key=lambda x: x[1])
#sort by name_ts (in python, sorts are guaranteed to be stable)
tbs.sort(key=lambda x: x[2])
#sort by obs_var (in python, sorts are guaranteed to be stable)
tbs.sort(key=lambda x: self.obs_var.index(self.map_ts_obs[ x[0] ]))
#we need to sort ts_id, _repeated_name_ts, _repeated_name_stream, _repeated_obs_type, data and all the par_fixed involved in the obs_model
ind_sorted = [ self.ts_id.index(x[0]) for x in tbs ]
self.ts_id = [ self.ts_id[x] for x in ind_sorted ]
self._repeated_name_ts = [self._repeated_name_ts[x] for x in ind_sorted]
self._repeated_name_stream = [self._repeated_name_stream[x] for x in ind_sorted]
self._repeated_obs_type = [self._repeated_obs_type[x] for x in ind_sorted]
#data
if self.data:
self.data = [ [ y[x] for x in ind_sorted ] for y in self.data ]
