Remove flanker and replace PyML with scikit-learn
I never was actually able to successfully install PyML but the source-forge distribution and lack of python3 support convinced me that scikit-learn would be a fine substitute. Flanker was also difficult for me to install and seemed only to be used in the tests, so I removed it as well to get into a position where I could run the tests. As of this commit, only one is not passing (test_standard_replies with android.eml) though I'm not familiar with the `email` library yet.
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@@ -4,7 +4,6 @@ from . import *
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from . fixtures import *
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import regex as re
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from flanker import mime
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from talon import quotations
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@@ -224,10 +223,7 @@ def test_reply_shares_div_with_from_block():
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def test_reply_quotations_share_block():
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msg = mime.from_string(REPLY_QUOTATIONS_SHARE_BLOCK)
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html_part = list(msg.walk())[1]
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assert html_part.content_type == 'text/html'
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stripped_html = quotations.extract_from_html(html_part.body)
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stripped_html = quotations.extract_from_plain(REPLY_QUOTATIONS_SHARE_BLOCK)
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ok_(stripped_html)
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ok_('From' not in stripped_html)
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@@ -3,7 +3,7 @@
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from ... import *
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import os
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from PyML import SparseDataSet
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from numpy import genfromtxt
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from talon.signature.learning import dataset as d
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@@ -41,10 +41,13 @@ def test_build_extraction_dataset():
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d.build_extraction_dataset(os.path.join(EMAILS_DIR, 'P'),
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os.path.join(TMP_DIR,
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'extraction.data'), 1)
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test_data = SparseDataSet(os.path.join(TMP_DIR, 'extraction.data'),
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labelsColumn=-1)
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filename = os.path.join(TMP_DIR, 'extraction.data')
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file_data = genfromtxt(filename, delimiter=",")
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test_data = file_data[:, :-1]
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# the result is a loadable signature extraction dataset
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# 32 comes from 3 emails in emails/P folder, 11 lines checked to be
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# a signature, one email has only 10 lines
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eq_(test_data.size(), 32)
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eq_(len(features('')), test_data.numFeatures)
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eq_(test_data.shape[0], 32)
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eq_(len(features('')), test_data.shape[1])
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@@ -5,8 +5,7 @@ from . fixtures import *
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import os
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from flanker import mime
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import email.iterators
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from talon import quotations
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@@ -614,22 +613,21 @@ def test_preprocess_postprocess_2_links():
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def test_standard_replies():
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for filename in os.listdir(STANDARD_REPLIES):
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filename = os.path.join(STANDARD_REPLIES, filename)
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if os.path.isdir(filename):
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if not filename.endswith('.eml') or os.path.isdir(filename):
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continue
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with open(filename) as f:
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msg = f.read()
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m = mime.from_string(msg)
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for part in m.walk():
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if part.content_type == 'text/plain':
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text = part.body
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stripped_text = quotations.extract_from_plain(text)
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reply_text_fn = filename[:-4] + '_reply_text'
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if os.path.isfile(reply_text_fn):
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with open(reply_text_fn) as f:
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reply_text = f.read()
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else:
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reply_text = 'Hello'
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eq_(reply_text, stripped_text,
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"'%(reply)s' != %(stripped)s for %(fn)s" %
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{'reply': reply_text, 'stripped': stripped_text,
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'fn': filename})
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message = email.message_from_file(f)
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body = email.iterators.typed_subpart_iterator(message, subtype='plain').next()
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text = ''.join(email.iterators.body_line_iterator(body))
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stripped_text = quotations.extract_from_plain(text)
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reply_text_fn = filename[:-4] + '_reply_text'
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if os.path.isfile(reply_text_fn):
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with open(reply_text_fn) as f:
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reply_text = f.read()
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else:
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reply_text = 'Hello'
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yield eq_, reply_text, stripped_text, \
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"'%(reply)s' != %(stripped)s for %(fn)s" % \
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{'reply': reply_text, 'stripped': stripped_text,
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'fn': filename}
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