# Path: build/lib/pyminer/miner/fetch.py
# def fetch(url):
#     '''
#     Get full text
# 
#     Work easily for open access papers, but for closed. For non-OA papers, use
#     Crossref's Text and Data Mining service, which requires authentication and
#     pre-authorized IP address. Go to https://apps.crossref.org/clickthrough/researchers
#     to sign up for the TDM service, to get your key. The only publishers
#     taking part at this time are Elsevier and Wiley.
# 
#     :param url: [String] A url for full text
# 
#     :return: [Mined] An object of class Mined, with methods for extracting
#         the url requested, the file path, and parsing the plain text, XML, or extracting
#         text from the pdf.
# 
#     XML returns object of class lxml.etree._Element, which you can parse using
#     for example lxml
# 
#     Usage::
# 
#         from pyminer import Miner
# 
#         # pdf
#         url = "http://www.banglajol.info/index.php/AJMBR/article/viewFile/25509/17126"
#         out = miner.fetch(url)
#         out.url
#         out.path
#         out.type
#         out.parse()
# 
#         # xml
#         url = "https://peerj.com/articles/cs-23.xml"
#         out = miner.fetch(url)
#         out.url
#         out.path
#         out.type
#         out.parse()
#         ## or drop down to individual parsing methods
#         from pyminer import parsers as p
#         p.parse_xml(out.path)
#         p.parse_xml_string(out.path)
# 
#         # search first, then pass links to fetch
#         res = miner.search()
#         miner.fetch(res['url'])
#     '''
#     return Fetcher(url).perform()


from .miner import fetch
      self.no_results = 1

  def __repr__(self):
    return '<pyminer search:> \n  results: ' + str(self.no_results)

  def links(self):
    items = self.__prep_links()
    ff = list(filter(None, [ z.get('link') for z in items ]))
    return [ x[0].get('URL') for x in ff ]

  def links_pdf(self):
    return self.__match_type("application/pdf")

  def links_xml(self):
    return self.__match_type("text/xml")

  def links_plain(self):
    return self.__match_type("text/plain")

  def links_unspecified(self):
    return self.__match_type("unspecified")

  def links_verbose(self):
    items = self.__prep_links()
    return [ z['link'][0] for z in items ]

  def fetch(self):
    lks = self.links()
    out = []
    for x in lks:

# Path: build/lib/pyminer/miner/fetch.py
# def fetch(url):
#     '''
#     Get full text
# 
#     Work easily for open access papers, but for closed. For non-OA papers, use
#     Crossref's Text and Data Mining service, which requires authentication and
#     pre-authorized IP address. Go to https://apps.crossref.org/clickthrough/researchers
#     to sign up for the TDM service, to get your key. The only publishers
#     taking part at this time are Elsevier and Wiley.
# 
#     :param url: [String] A url for full text
# 
#     :return: [Mined] An object of class Mined, with methods for extracting
#         the url requested, the file path, and parsing the plain text, XML, or extracting
#         text from the pdf.
# 
#     XML returns object of class lxml.etree._Element, which you can parse using
#     for example lxml
# 
#     Usage::
# 
#         from pyminer import Miner
# 
#         # pdf
#         url = "http://www.banglajol.info/index.php/AJMBR/article/viewFile/25509/17126"
#         out = miner.fetch(url)
#         out.url
#         out.path
#         out.type
#         out.parse()
# 
#         # xml
#         url = "https://peerj.com/articles/cs-23.xml"
#         out = miner.fetch(url)
#         out.url
#         out.path
#         out.type
#         out.parse()
#         ## or drop down to individual parsing methods
#         from pyminer import parsers as p
#         p.parse_xml(out.path)
#         p.parse_xml_string(out.path)
# 
#         # search first, then pass links to fetch
#         res = miner.search()
#         miner.fetch(res['url'])
#     '''
#     return Fetcher(url).perform()


# Path: build/lib/pyminer/response.py
from .miner import fetch

      self.no_results = 1

  def __repr__(self):
    return '<pyminer search:> \n  results: ' + str(self.no_results)

  def links(self):
    items = self.__prep_links()
    ff = list(filter(None, [ z.get('link') for z in items ]))
    return [ x[0].get('URL') for x in ff ]

  def links_pdf(self):
    return self.__match_type("application/pdf")

  def links_xml(self):
    return self.__match_type("text/xml")

  def links_plain(self):
    return self.__match_type("text/plain")

  def links_unspecified(self):
    return self.__match_type("unspecified")

  def links_verbose(self):
    items = self.__prep_links()
    return [ z['link'][0] for z in items ]

  def fetch(self):
    lks = self.links()
    out = []
    for x in lks:

      res = fetch(x)