def main():
if 'WEIGHTED_SETS' not in dir(mg) and 'UNWEIGHTED_SETS' not in dir(mg):
print(
'Define WEIGHTED_SETS and UNWEIGHTED_SETS in manager.py before using this module'
)
return
TXT_DIR = mg.dir(os.path.join(mg.WORKING_PATH, 'txts'))
PDF_DIR = mg.dir(os.path.join(mg.INPUT_PATH, 'pdfs'))
data = mg.get_data()
convertToText.walkAndText(PDF_DIR, TXT_DIR)
find_paragraphs(TXT_DIR,
mg.WEIGHTED_SETS + mg.UNWEIGHTED_SETS,
outfile=os.path.join(mg.WORKING_PATH, 'paragraphs'))
sets = assoc_sets(data,
TXT_DIR,
mg.WEIGHTED_SETS,
less_weighted_sets=mg.UNWEIGHTED_SETS)
data['Sets'] = sets.values()
mg.update_data()
import manager as mg, json, os
data = mg.get_data()
data = data[data['Data Use'] == 'Y'].dropna(subset=['Authors'])
from biblio_reader import scholar_reader
types = {
auth: 'Contributor' in val
for auth, val in scholar_reader.authors(data, 'Contributor').items()
}
contributors = {
author
for i, authors in zip(data['i'], data['Authors'])
for author in authors.split(' & ') if i in mg.CONTR_PAPERS
}
with open(
os.path.join(mg.dir(os.path.join('data', 'author-links')),
'objects.json'), 'w') as o:
json.dump([{
'name':
auth,
'type':
"Contributor" if types[auth] is True else 'Not a Contributor',
'depends':
list({aff
for aff in affils if aff != auth and aff != 'others'})
} for auth, affils in scholar_reader.authors(
data, 'Authors', split=' & ').items() if auth != 'others'],
o,
sort_keys=True,
indent=4)
import manager
import simulation
import matplotlib.pyplot as plt
data = [
manager.get_data(x, x, simulation.Downside) for x in range(500, 501, 1)
]
print("\t\t\t".join([str(i) for i in range(500, 501, 1)]))
transform = [[
str(dat[i][0]) + "\t" + str(dat[i][1]) + "\t" + str(dat[i][2])
for dat in data
] for i in range(len(data[0]))]
print("\n".join(["\t".join(T) for T in transform]))
