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
vects.append(no_cap)
return vects
def print_segment(sentence, names):
words = sentence.split()
for name in names:
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()
return vects
def print_segment(sentence, names):
words = sentence.split()
for name in names:
for i in name:
sys.stdout.write(words[i] + " ")
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)
return vects
def print_segment(sentence, names):
words = sentence.split()
for name in names:
for i in name:
sys.stdout.write(words[i] + " ")
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()
segments = dlib.rangess()
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)
