def test_rangess():
rss = rangess()
assert len(rss) == 0
rss.resize(5)
assert len(rss) == 5
for rs in rss:
assert len(rs) == 0
rss.clear()
assert len(rss) == 0
rs1 = ranges()
rs1.append(range(1, 2))
rs1.append(range(3, 4))
rs2 = ranges()
rs2.append(range(5, 6))
rs2.append(range(7, 8))
rss.extend([rs1, rs2])
assert rss[0][0].begin == 1
assert rss[0][1].begin == 3
assert rss[1][0].begin == 5
assert rss[1][1].begin == 7
assert rss[0][0].end == 2
assert rss[0][1].end == 4
assert rss[1][0].end == 6
assert rss[1][1].end == 8
ser = pickle.dumps(rss, 2)
deser = pickle.loads(ser)
assert rss == deser
def test_range_wrong_order():
r = range(5, 0)
assert r.begin == 5
assert r.end == 0
assert str(r) == "5, 0"
assert repr(r) == "dlib.range(5, 0)"
assert len(r) == 0
def test_range():
r = range(0, 10)
assert r.begin == 0
assert r.end == 10
assert str(r) == "0, 10"
assert repr(r) == "dlib.range(0, 10)"
assert len(r) == 10
ser = pickle.dumps(r, 2)
deser = pickle.loads(ser)
for a, b in zip(r, deser):
assert a == b
def test_ranges():
rs = ranges()
assert len(rs) == 0
rs.resize(5)
assert len(rs) == 5
for r in rs:
assert r.begin == 0
assert r.end == 0
rs.clear()
assert len(rs) == 0
rs.extend([range(1, 2), range(3, 4)])
assert rs[0].begin == 1
assert rs[0].end == 2
assert rs[1].begin == 3
assert rs[1].end == 4
ser = pickle.dumps(rs, 2)
deser = pickle.loads(ser)
assert rs == deser
for i in name:
sys.stdout.write(words[i] + " ")
sys.stdout.write("\n")
# Now let's make some training data. Each example is a sentence as well as a
# set of ranges which indicate the locations of any names.
names = dlib.ranges() # make an array of dlib.range objects.
segments = dlib.rangess() # make an array of arrays of dlib.range objects.
sentences = []
sentences.append("The other day I saw a man named Jim Smith")
# We want to detect person names. So we note that the name is located within
# the range [8, 10). Note that we use half open ranges to identify segments.
# So in this case, the segment identifies the string "Jim Smith".
names.append(dlib.range(8, 10))
segments.append(names)
names.clear() # make names empty for use again below
sentences.append("Davis King is the main author of the dlib Library")
names.append(dlib.range(0, 2))
segments.append(names)
names.clear()
sentences.append("Bob Jones is a name and so is George Clinton")
names.append(dlib.range(0, 2))
names.append(dlib.range(8, 10))
segments.append(names)
names.clear()
sentences.append("My dog is named Bob Barker")
def test_range_with_negative_elements():
with raises(TypeError):
range(-1, 1)
with raises(TypeError):
range(1, -1)
sys.stdout.write("\n")
# Now lets make some training data. Each example is a sentence as well as a set of ranges
# which indicate the locations of any names.
names = dlib.ranges() # make an array of dlib.range objects.
segments = dlib.rangess() # make an array of arrays of dlib.range objects.
sentences = []
sentences.append("The other day I saw a man named Jim Smith")
# We want to detect person names. So we note that the name is located within the
# range [8, 10). Note that we use half open ranges to identify segments. So in
# this case, the segment identifies the string "Jim Smith".
names.append(dlib.range(8, 10))
segments.append(names)
names.clear() # make names empty for use again below
sentences.append("Davis King is the main author of the dlib Library")
names.append(dlib.range(0, 2))
segments.append(names)
names.clear()
sentences.append("Bob Jones is a name and so is George Clinton")
names.append(dlib.range(0, 2))
names.append(dlib.range(8, 10))
segments.append(names)
names.clear()
