Closed simb-sdu closed 1 year ago
tried to run pip install premise==1.6.2
to hope this would resolve the error - but pip cannot find this version
also, I don't know if it matters that my environment uses bw2io=0.8.7
? I think 0.8.8
is only required to import ei 3.9.1. Hence once the database exists in my project it should not matter?
if I add system_args=args
to NewDatabase()
with
args = { "range time":0, "duration":0, "foresight":False, "lead time":False, "capital replacement rate":False, "measurement": 0, "weighted slope start": 0.75, "weighted slope end": 1.00 }
I instead get this following error
/////////////////////// EXTRACTING IAM DATA ////////////////////////
Traceback (most recent call last):
File "/home/simb/Nextcloud/sarah case study/premise-ei391.py", line 21, in <module>
ndb_c = NewDatabase(
File "/home/simb/miniconda3/envs/premise/lib/python3.9/site-packages/premise/ecoinvent_modification.py", line 605, in __init__
pool.map(_fetch_iam_data, self.scenarios)
File "/home/simb/miniconda3/envs/premise/lib/python3.9/multiprocessing/pool.py", line 364, in map
return self._map_async(func, iterable, mapstar, chunksize).get()
File "/home/simb/miniconda3/envs/premise/lib/python3.9/multiprocessing/pool.py", line 771, in get
raise self._value
File "/home/simb/miniconda3/envs/premise/lib/python3.9/multiprocessing/pool.py", line 125, in worker
result = (True, func(*args, **kwds))
File "/home/simb/miniconda3/envs/premise/lib/python3.9/multiprocessing/pool.py", line 48, in mapstar
return list(map(*args))
File "/home/simb/miniconda3/envs/premise/lib/python3.9/site-packages/premise/ecoinvent_modification.py", line 584, in _fetch_iam_data
data = IAMDataCollection(
File "/home/simb/miniconda3/envs/premise/lib/python3.9/site-packages/premise/data_collection.py", line 413, in __init__
self.electricity_markets = self.__fetch_market_data(
File "/home/simb/miniconda3/envs/premise/lib/python3.9/site-packages/premise/data_collection.py", line 746, in __fetch_market_data
market_data = consequential_method(
File "/home/simb/miniconda3/envs/premise/lib/python3.9/site-packages/premise/marginal_mixes.py", line 194, in consequential_method
"end": year + fetch_avg_leadtime(leadtime, shares),
File "/home/simb/miniconda3/envs/premise/lib/python3.9/site-packages/premise/marginal_mixes.py", line 60, in fetch_avg_leadtime
return (shares * leadtime).sum().astype(int).values.item(0)
File "/home/simb/miniconda3/envs/premise/lib/python3.9/site-packages/xarray/core/_typed_ops.py", line 228, in __mul__
return self._binary_op(other, operator.mul)
File "/home/simb/miniconda3/envs/premise/lib/python3.9/site-packages/xarray/core/dataarray.py", line 4620, in _binary_op
f(self.variable, other_variable)
File "/home/simb/miniconda3/envs/premise/lib/python3.9/site-packages/xarray/core/_typed_ops.py", line 434, in __mul__
return self._binary_op(other, operator.mul)
File "/home/simb/miniconda3/envs/premise/lib/python3.9/site-packages/xarray/core/variable.py", line 2705, in _binary_op
f(self_data, other_data) if not reflexive else f(other_data, self_data)
ValueError: operands could not be broadcast together with shapes (20,) (19,)
File "/home/simb/miniconda3/envs/premise/lib/python3.9/site-packages/premise/marginal_mixes.py", line 60, in fetch_avg_leadtime
return (shares * leadtime).sum().astype(int).values.item(0)
changed to
return shares.dot(leadtime).sum().astype(int).values.item(0)
gives new error:
TypeError: dot only operates on DataArrays.
@romainsacchi any thoughts?
Quick fix: add args = args or {}
at line 153 in file /home/simb/miniconda3/envs/premise/lib/python3.9/site-packages/premise/marginal_mixes.py
Long fix: wait for v.1.6.3
available in a few minutes.
However 1.6.1
had another issue with the consequential version, fixed in 1.6.2
. So you'd rather wait for 1.6.3
.
thanks for the quick help, @romainsacchi . I appreciate. And it works now after installing 1.6.3
Firstly: Kudos for the amazing progress on premise lately!
I try to run
premise 1.6.1
on consequential ei 3.9.1, which gives an error. Works fine with the same script for the cutoff version.code:
I get the following errors: