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import pytest
import collections
import tempfile
from fuzzycat.cluster import release_key_title, release_key_title_normalized, release_key_title_nysiis, sort_by_column, group_by
import os
Case = collections.namedtuple("Case", 'input output')
def test_release_key_title():
with pytest.raises(KeyError):
release_key_title({})
with pytest.raises(KeyError, match='title'):
release_key_title({'ident': '123'})
with pytest.raises(KeyError, match='ident'):
release_key_title({'title': 'deep learning backdoor'})
with pytest.raises(ValueError, match='title.*missing'):
release_key_title({'ident': '', 'title': ''})
cases = (
Case(input={
'ident': '',
'title': 'simhash'
}, output=('', 'simhash')),
Case(input={
'ident': '',
'title': 'Simhash'
}, output=('', 'Simhash')),
Case(input={
'ident': '',
'title': 'Sim hash'
}, output=('', 'Sim hash')),
)
for case in cases:
assert case.output == release_key_title(case.input)
def test_release_key_title_normalized():
cases = (
Case(input={
'ident': '',
'title': 'simhash'
}, output=('', 'simhash')),
Case(input={
'ident': '',
'title': 'Simhash'
}, output=('', 'simhash')),
Case(input={
'ident': '',
'title': 'Sim hash'
}, output=('', 'simhash')),
Case(input={
'ident': '',
'title': 'THE year 1929'
}, output=('', 'theyear1929')),
Case(input={
'ident': '',
'title': '2019?'
}, output=('', '2019')),
Case(input={
'ident': '123',
'title': 'H~~2019?'
}, output=('123', 'h2019')),
)
for case in cases:
assert case.output == release_key_title_normalized(case.input), 'failed case {}'.format(
case.input)
def test_release_key_title_nysiis():
cases = (
Case(input={
'ident': '',
'title': 'simhash'
}, output=('', 'SANAS')),
Case(input={
'ident': '',
'title': 'Simhash'
}, output=('', 'SANAS')),
Case(input={
'ident': '',
'title': 'Sim hash'
}, output=('', 'SANAS')),
Case(input={
'ident': '',
'title': 'THE year 1929'
}, output=('', 'TAR')),
Case(input={
'ident': '',
'title': '2019?'
}, output=('', '')),
Case(input={
'ident': '123',
'title': 'H~~2019?'
}, output=('123', 'H')),
Case(input={
'ident': '123',
'title': '世界'
}, output=('123', '')),
)
for case in cases:
assert case.output == release_key_title_nysiis(case.input), 'failed case {}'.format(
case.input)
def test_release_key_title_authors_ngram():
pass
def test_sort_by_column():
with tempfile.NamedTemporaryFile(delete=False, mode="w") as tf:
tf.write("2 b\n")
tf.write("2 a\n")
tf.write("9 d\n")
tf.write("1 c\n")
fn = sort_by_column(tf.name, opts='-k 2')
with open(fn) as f:
lines = [v.strip() for v in f]
assert lines == ['2 a', '2 b', '1 c', '9 d']
fn = sort_by_column(tf.name, opts='-k 1')
with open(fn) as f:
lines = [v.strip() for v in f]
assert lines == ['1 c', '2 a', '2 b', '9 d']
fn = sort_by_column(tf.name, opts='-k 3')
with open(fn) as f:
lines = [v.strip() for v in f]
assert lines == ['1 c', '2 a', '2 b', '9 d']
def test_group_by():
Case = collections.namedtuple("Case", "seq keyfunc valuefunc result")
cases = (
Case(["0", "1"], lambda v: v, lambda v: v, [{
'k': '0',
'v': ['0']
}, {
'k': '1',
'v': ['1']
}]),
Case(["a 1", "a 2", "b 3"], lambda v: v.split()[0], lambda v: v.split()[1], [{
'k': 'a',
'v': ['1', '2']
}, {
'k': 'b',
'v': ['3']
}]),
)
for case in cases:
assert case.result == list(group_by(case.seq, case.keyfunc, case.valuefunc))
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