Plug arXiv
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@ -13,4 +13,5 @@ For building `opendetex` (which is a necessary dependency), you will need
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## Usage
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`./main.py some_file.bbl` to get a list of DOIs associated to each `\bibitem`.
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* `./main.py some_file.bbl` to get a list of DOIs associated to each `\bibitem`.
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* `./main.py arxiv_eprint_id` to get a list of DOIs associated to each reference from the provided arXiv eprint.
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main.py
168
main.py
@ -1,10 +1,24 @@
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#!/usr/bin/env python3
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import io
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import math
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import os
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import re
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import requests
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import subprocess
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import sys
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import tarfile
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regex_urls = re.compile(r"http[s]?://(?:[a-zA-Z]|[0-9]|[$-_@.&+]|[!*\(\),]|(?:%[0-9a-fA-F][0-9a-fA-F]))+")
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regex_bibitems = re.compile(r"\\bibitem\{.+?\}")
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regex_endthebibliography = re.compile(r"\\end\{thebibliography}")
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def clean_whitespaces(text):
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"""
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Remove double whitespaces and trailing . and , from text.
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"""
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return ' '.join(text.strip().rstrip(".,").split())
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def oa_from_doi(doi):
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@ -18,34 +32,103 @@ def oa_from_doi(doi):
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def clean_bibitem(bibitem):
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"""
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Return a plaintext representation of the bibitem from the bbl file.
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Params:
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- bibitem is the text content of the bibitem.
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Returns a cleaned plaintext citation from the bibitem.
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"""
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script_dir = os.path.dirname(os.path.abspath(__file__))
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output = subprocess.check_output([script_dir + "/opendetex/delatex", "-s"],
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output = subprocess.check_output(["%s/opendetex/delatex" % (script_dir,),
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"-s"],
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input=bibitem.encode("utf-8"))
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output = output.decode("utf-8")
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output = ' '.join(output.strip().rstrip(".,").split())
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output = clean_whitespaces(output)
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return output
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def parse_bbl(bbl_file):
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with open(bbl_file, 'r') as fh:
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def parse_bbl(bbl):
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"""
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Parse a *.bbl file to get a clean list of plaintext citations.
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Params:
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- bbl is either the path to the .bbl file or the content of a bbl file.
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Returns a list of cleaned plaintext citations.
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"""
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# Handle path or content
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if os.path.isfile(bbl):
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with open(bbl, 'r') as fh:
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bbl_content = fh.read()
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bibitems = re.split(r"\\bibitem\{.+?\}", bbl_content)[1:]
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bibitems = [re.sub(r"\\end\{thebibliography}",
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"",
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else:
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bbl_content = bbl
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# Get a list of bibitems
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bibitems = regex_bibitems.split(bbl_content)[1:]
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bibitems = [regex_endthebibliography.sub("",
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i).strip() for i in bibitems]
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cleaned_bbl = []
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# Clean every bibitem
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for bibitem in bibitems:
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cleaned_bbl.append(clean_bibitem(bibitem))
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return cleaned_bbl
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def dois_from_bbl(bbl_file):
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def extract_doi_links(urls):
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"""
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Try to find a DOI from a given list of URLs.
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"""
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doi_urls = [url for url in urls if "/doi/" in url]
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if len(doi_urls) > 0:
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return ("http://dx.doi.org" +
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doi_urls[0][doi_urls[0].find("/doi/") + 4:])
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else:
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return None
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def extract_arxiv_links(urls):
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"""
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Try to find an arXiv link from a given list of URLs.
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"""
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arxiv_urls = [url for url in urls if "://arxiv.org" in url]
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if len(arxiv_urls) > 0:
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return arxiv_urls[0]
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else:
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return None
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def dois_from_bbl(bbl):
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"""
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Get the papers cited by the paper identified by the given DOI.
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Params:
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- bbl is either the path to the .bbl file or the content of a bbl file.
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Returns a dict of cleaned plaintext citations and their associated doi.
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"""
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cleaned_citations = parse_bbl(bbl_file)
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cleaned_citations_with_URLs = parse_bbl(bbl)
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dois = {}
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cleaned_citations = []
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# Try to get the DOI directly from the citation
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for citation in cleaned_citations_with_URLs[:]:
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# Get all the urls in the citation
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raw_urls = regex_urls.findall(citation)
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urls = [u.lower() for u in raw_urls]
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# Remove URLs in citation
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for url in raw_urls:
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citation = citation.replace(url, "")
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citation = clean_whitespaces(citation)
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# Try to find an arXiv link
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arxiv_url = extract_arxiv_links(urls)
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if arxiv_url:
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dois[citation] = arxiv_url
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# Try to find a DOI link
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doi_url = extract_doi_links(urls)
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if doi_url:
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dois[citation] = doi_url
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# If no match found, stack it for next step
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if citation not in dois:
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cleaned_citations.append(citation)
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# Do batch of 10 papers, to prevent from the timeout of crossref
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for i in range(math.ceil(len(cleaned_citations) / 10)):
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lower_bound = 10 * i
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upper_bound = min(10 * (i + 1), len(cleaned_citations))
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@ -53,15 +136,76 @@ def dois_from_bbl(bbl_file):
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json=cleaned_citations[lower_bound:upper_bound])
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for result in r.json()["results"]:
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if "doi" not in result:
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# If DOI is not found, try a direct query to get a DOI
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# r = requests.get("http://search.crossref.org/dois",
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# params={
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# 'q': result["text"],
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# "sort": "score",
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# "rows": 1
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# })
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# doi_result = r.json()
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# if len(doi_result) > 0:
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# dois[result["text"]] = doi_result[0]["doi"]
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# else:
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# dois[result["text"]] = None
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dois[result["text"]] = None
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else:
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dois[result["text"]] = result["doi"]
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return dois
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if __name__ == "__main__":
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if len(sys.argv) < 2:
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sys.exit("Usage: " + sys.argv[0] + " BBL_FILE.")
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def sources_from_arxiv(eprint):
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"""
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Download sources on arXiv for a given preprint.
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Params:
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- eprint is the arXiv id (e.g. 1401.2910 or 1401.2910v1).
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Returns a TarFile object of the sources of the arXiv preprint.
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"""
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r = requests.get("http://arxiv.org/e-print/%s" % (eprint,))
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file_object = io.BytesIO(r.content)
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return tarfile.open(fileobj=file_object)
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def bbl_from_arxiv(eprint):
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"""
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Get the .bbl files (if any) of a given preprint.
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Params:
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- eprint is the arXiv id (e.g. 1401.2910 or 1401.2910v1).
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Returns a list of the .bbl files as text (if any) or None.
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"""
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tf = sources_from_arxiv(eprint)
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bbl_files = [i for i in tf.getmembers() if i.name.endswith(".bbl")]
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bbl_files = [tf.extractfile(member).read().decode(tarfile.ENCODING)
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for member in bbl_files]
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return bbl_files
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def dois_from_arxiv(eprint):
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"""
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Get the .bbl files (if any) of a given preprint.
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Params:
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- eprint is the arXiv id (e.g. 1401.2910 or 1401.2910v1).
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Returns a dict of cleaned plaintext citations and their associated doi.
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"""
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bbl_files = bbl_from_arxiv(eprint)
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dois = {}
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for bbl in bbl_files:
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dois.update(dois_from_bbl(bbl))
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return dois
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if __name__ == "__main__":
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import pprint
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if len(sys.argv) < 2:
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sys.exit("Usage: " + sys.argv[0] + " BBL_FILE|ARXIV_EPRINT.")
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if os.path.isfile(sys.argv[1]):
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pprint.pprint(dois_from_bbl(sys.argv[1]))
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else:
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pprint.pprint(dois_from_arxiv(sys.argv[1]))
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