Closed nikisix closed 6 years ago
Also realized that in order to run a blank variable through the solver, it's marginal equivalent must also have a blank entry in the form of: "variablename"
As num_people and num_vehicles do not have blank counter parts in the ACS data (marginals) it's probably best if we either continue mapping blank pums elements to 0's or filter rows with blanks in a solver variable with no ACS equivalents.
Moving this issue to: Solver variable bin lineup between inputs and marginals #43
Traceback (most recent call last): File "doppelganger/scripts/download_allocate_generate.py", line 332, in
main()
File "doppelganger/scripts/download_allocate_generate.py", line 317, in main
person_segmenter, household_segmenter
File "doppelganger/scripts/download_allocate_generate.py", line 181, in create_bayes_net
household_model.write(household_model_filename)
File "/Users/six/code/doppelganger/doppelganger/bayesnets.py", line 92, in write
json_string = self.to_json()
File "/Users/six/code/doppelganger/doppelganger/bayesnets.py", line 100, in to_json
return json.dumps(blob, indent=4, sort_keys=True)
File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/json/init.py", line 250, in dumps
sort_keys=sort_keys, **kw).encode(obj)
File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/json/encoder.py", line 209, in encode
chunks = list(chunks)
File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/json/encoder.py", line 434, in _iterencode
for chunk in _iterencode_dict(o, _current_indent_level):
File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/json/encoder.py", line 408, in _iterencode_dict
for chunk in chunks:
File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/json/encoder.py", line 361, in _iterencode_dict
items = sorted(dct.items(), key=lambda kv: kv[0])
File "/Library/Python/2.7/site-packages/future-0.16.0-py2.7.egg/future/types/newstr.py", line 316, in gt
raise TypeError(self.unorderable_err.format(type(other)))
TypeError: unorderable types: str() and <type 'NoneType'>