def test_init_with_nested_field_as_nesting_field(self):
nesting_field = data.NestedField(data.Field())
with pytest.raises(ValueError) as excinfo:
data.NestedField(nesting_field)
assert "nesting field must not be another NestedField" in str(
excinfo.value)
def test_init_when_nesting_field_has_include_lengths_equal_true(self):
nesting_field = data.Field(include_lengths=True)
with pytest.raises(ValueError) as excinfo:
data.NestedField(nesting_field)
assert "nesting field cannot have include_lengths=True" in str(
excinfo.value)
def test_pad_when_pad_first_is_true(self):
nesting_field = data.Field(tokenize=list,
unk_token="<cunk>",
pad_token="<cpad>",
init_token="<w>",
eos_token="</w>")
CHARS = data.NestedField(nesting_field,
init_token="<s>",
eos_token="</s>",
pad_first=True)
minibatch = [
[list("john"), list("loves"),
list("mary")],
[list("mary"), list("cries")],
]
expected = [[
["<w>", "<s>", "</w>"] + ["<cpad>"] * 4,
["<w>"] + list("john") + ["</w>", "<cpad>"],
["<w>"] + list("loves") + ["</w>"],
["<w>"] + list("mary") + ["</w>", "<cpad>"],
["<w>", "</s>", "</w>"] + ["<cpad>"] * 4,
],
[
["<cpad>"] * 7,
["<w>", "<s>", "</w>"] + ["<cpad>"] * 4,
["<w>"] + list("mary") + ["</w>", "<cpad>"],
["<w>"] + list("cries") + ["</w>"],
["<w>", "</s>", "</w>"] + ["<cpad>"] * 4,
]]
assert CHARS.pad(minibatch) == expected
# test include_length
nesting_field = data.Field(tokenize=list,
unk_token="<cunk>",
pad_token="<cpad>",
init_token="<w>",
eos_token="</w>")
CHARS = data.NestedField(nesting_field,
init_token="<s>",
eos_token="</s>",
include_lengths=True,
pad_first=True)
arr, seq_len, words_len = CHARS.pad(minibatch)
assert arr == expected
assert seq_len == [5, 4]
assert words_len == [[3, 6, 7, 6, 3], [0, 3, 6, 7, 3]]
def test_preprocess(self):
nesting_field = data.Field(
tokenize=list, preprocessing=lambda xs: [x.upper() for x in xs])
field = data.NestedField(nesting_field,
preprocessing=lambda xs: reversed(xs))
preprocessed = field.preprocess("john loves mary")
assert preprocessed == [list("MARY"), list("LOVES"), list("JOHN")]
def test_pad_when_nesting_field_has_fix_length(self):
nesting_field = data.Field(tokenize=list,
unk_token="<cunk>",
pad_token="<cpad>",
init_token="<w>",
eos_token="</w>",
fix_length=5)
CHARS = data.NestedField(nesting_field,
init_token="<s>",
eos_token="</s>")
minibatch = [["john", "loves", "mary"], ["mary", "cries"]]
expected = [[
["<w>", "<s>", "</w>"] + ["<cpad>"] * 2,
["<w>"] + list("joh") + ["</w>"],
["<w>"] + list("lov") + ["</w>"],
["<w>"] + list("mar") + ["</w>"],
["<w>", "</s>", "</w>"] + ["<cpad>"] * 2,
],
[
["<w>", "<s>", "</w>"] + ["<cpad>"] * 2,
["<w>"] + list("mar") + ["</w>"],
["<w>"] + list("cri") + ["</w>"],
["<w>", "</s>", "</w>"] + ["<cpad>"] * 2,
["<cpad>"] * 5,
]]
assert CHARS.pad(minibatch) == expected
# test include length
nesting_field = data.Field(tokenize=list,
unk_token="<cunk>",
pad_token="<cpad>",
init_token="<w>",
eos_token="</w>",
fix_length=5)
CHARS = data.NestedField(nesting_field,
init_token="<s>",
eos_token="</s>",
include_lengths=True)
arr, seq_len, words_len = CHARS.pad(minibatch)
assert arr == expected
assert seq_len == [5, 4]
assert words_len == [[3, 5, 5, 5, 3], [3, 5, 5, 3, 0]]
def test_pad_when_fix_length_is_not_none(self):
nesting_field = data.Field(tokenize=list,
unk_token="<cunk>",
pad_token="<cpad>",
init_token="<w>",
eos_token="</w>")
CHARS = data.NestedField(nesting_field,
init_token="<s>",
eos_token="</s>",
fix_length=3)
minibatch = [["john", "loves", "mary"], ["mary", "cries"]]
expected = [[
["<w>", "<s>", "</w>"] + ["<cpad>"] * 4,
["<w>"] + list("john") + ["</w>", "<cpad>"],
["<w>", "</s>", "</w>"] + ["<cpad>"] * 4,
],
[
["<w>", "<s>", "</w>"] + ["<cpad>"] * 4,
["<w>"] + list("mary") + ["</w>", "<cpad>"],
["<w>", "</s>", "</w>"] + ["<cpad>"] * 4,
]]
assert CHARS.pad(minibatch) == expected
# test include length
nesting_field = data.Field(tokenize=list,
unk_token="<cunk>",
pad_token="<cpad>",
init_token="<w>",
eos_token="</w>")
CHARS = data.NestedField(nesting_field,
init_token="<s>",
eos_token="</s>",
include_lengths=True,
fix_length=3)
arr, seq_len, words_len = CHARS.pad(minibatch)
assert arr == expected
assert seq_len == [3, 3]
assert words_len == [[3, 6, 3], [3, 6, 3]]
def test_build_vocab_from_iterable(self):
nesting_field = data.Field(unk_token="<cunk>", pad_token="<cpad>")
CHARS = data.NestedField(nesting_field)
CHARS.build_vocab(
[[list("aaa"), list("bbb"), ["c"]], [list("bbb"),
list("aaa")]],
[[list("ccc"), list("bbb")], [list("bbb")]],
)
expected = "a b c <cunk> <cpad>".split()
assert len(CHARS.vocab) == len(expected)
for c in expected:
assert c in CHARS.vocab.stoi
def test_pad_when_nesting_field_is_not_sequential(self):
nesting_field = data.Field(sequential=False,
unk_token="<cunk>",
pad_token="<cpad>",
init_token="<w>",
eos_token="</w>")
CHARS = data.NestedField(nesting_field,
init_token="<s>",
eos_token="</s>")
minibatch = [["john", "loves", "mary"], ["mary", "cries"]]
expected = [
["<s>", "john", "loves", "mary", "</s>"],
["<s>", "mary", "cries", "</s>", "<pad>"],
]
assert CHARS.pad(minibatch) == expected
def test_build_vocab_from_dataset(self):
nesting_field = data.Field(tokenize=list,
unk_token="<cunk>",
pad_token="<cpad>",
init_token="<w>",
eos_token="</w>")
CHARS = data.NestedField(nesting_field,
init_token="<s>",
eos_token="</s>")
ex1 = data.Example.fromlist(["aaa bbb c"], [("chars", CHARS)])
ex2 = data.Example.fromlist(["bbb aaa"], [("chars", CHARS)])
dataset = data.Dataset([ex1, ex2], [("chars", CHARS)])
CHARS.build_vocab(dataset, min_freq=2)
expected = "a b <w> </w> <s> </s> <cunk> <cpad>".split()
assert len(CHARS.vocab) == len(expected)
for c in expected:
assert c in CHARS.vocab.stoi
def test_pad_when_no_init_and_eos_tokens(self):
nesting_field = data.Field(tokenize=list,
unk_token="<cunk>",
pad_token="<cpad>",
init_token="<w>",
eos_token="</w>")
CHARS = data.NestedField(nesting_field)
minibatch = [["john", "loves", "mary"], ["mary", "cries"]]
expected = [[
["<w>"] + list("john") + ["</w>", "<cpad>"],
["<w>"] + list("loves") + ["</w>"],
["<w>"] + list("mary") + ["</w>", "<cpad>"],
],
[
["<w>"] + list("mary") + ["</w>", "<cpad>"],
["<w>"] + list("cries") + ["</w>"],
["<cpad>"] * 7,
]]
assert CHARS.pad(minibatch) == expected
def test_build_vocab(self):
nesting_field = data.Field(tokenize=list,
init_token="<w>",
eos_token="</w>")
field = data.NestedField(nesting_field,
init_token='<s>',
eos_token='</s>',
include_lengths=True,
pad_first=True)
sources = [[['a'], ['s', 'e', 'n', 't', 'e', 'n', 'c', 'e'],
['o', 'f'], ['d', 'a', 't', 'a'], ['.']],
[['y', 'e', 't'], ['a', 'n', 'o', 't', 'h', 'e', 'r']],
[['o', 'n', 'e'], ['l', 'a', 's', 't'],
['s', 'e', 'n', 't']]]
field.build_vocab(sources,
vectors='glove.6B.50d',
unk_init=init.xavier_normal,
vectors_cache=".vector_cache")
def test_init_minimal(self):
nesting_field = data.Field()
field = data.NestedField(nesting_field)
assert isinstance(field, data.Field)
assert field.nesting_field is nesting_field
assert field.sequential
assert field.use_vocab
assert field.init_token is None
assert field.eos_token is None
assert field.unk_token == nesting_field.unk_token
assert field.fix_length is None
assert field.dtype is torch.long
assert field.preprocessing is None
assert field.postprocessing is None
assert field.lower == nesting_field.lower
assert field.tokenize("a b c") == "a b c".split()
assert not field.include_lengths
assert field.batch_first
assert field.pad_token == nesting_field.pad_token
assert not field.pad_first
def test_init_full(self):
nesting_field = data.Field()
field = data.NestedField(
nesting_field,
use_vocab=False,
init_token="<s>",
eos_token="</s>",
fix_length=10,
dtype=torch.float,
preprocessing=lambda xs: list(reversed(xs)),
postprocessing=lambda xs: [x.upper() for x in xs],
tokenize=list,
pad_first=True,
)
assert not field.use_vocab
assert field.init_token == "<s>"
assert field.eos_token == "</s>"
assert field.fix_length == 10
assert field.dtype is torch.float
assert field.preprocessing("a b c".split()) == "c b a".split()
assert field.postprocessing("a b c".split()) == "A B C".split()
assert field.tokenize("abc") == ["a", "b", "c"]
assert field.pad_first
def test_numericalize(self):
nesting_field = data.Field(batch_first=True)
field = data.NestedField(nesting_field)
ex1 = data.Example.fromlist(["john loves mary"], [("words", field)])
ex2 = data.Example.fromlist(["mary cries"], [("words", field)])
dataset = data.Dataset([ex1, ex2], [("words", field)])
field.build_vocab(dataset)
examples_data = [[
["<w>", "<s>", "</w>"] + ["<cpad>"] * 4,
["<w>"] + list("john") + ["</w>", "<cpad>"],
["<w>"] + list("loves") + ["</w>"],
["<w>"] + list("mary") + ["</w>", "<cpad>"],
["<w>", "</s>", "</w>"] + ["<cpad>"] * 4,
],
[
["<w>", "<s>", "</w>"] + ["<cpad>"] * 4,
["<w>"] + list("mary") + ["</w>", "<cpad>"],
["<w>"] + list("cries") + ["</w>"],
["<w>", "</s>", "</w>"] + ["<cpad>"] * 4,
["<cpad>"] * 7,
]]
numericalized = field.numericalize(examples_data)
assert numericalized.dim() == 3
assert numericalized.size(0) == len(examples_data)
for example, numericalized_example in zip(examples_data,
numericalized):
verify_numericalized_example(field,
example,
numericalized_example,
batch_first=True)
# test include_lengths
nesting_field = data.Field(batch_first=True)
field = data.NestedField(nesting_field, include_lengths=True)
ex1 = data.Example.fromlist(["john loves mary"], [("words", field)])
ex2 = data.Example.fromlist(["mary cries"], [("words", field)])
dataset = data.Dataset([ex1, ex2], [("words", field)])
field.build_vocab(dataset)
examples_data = [[
["<w>", "<s>", "</w>"] + ["<cpad>"] * 4,
["<w>"] + list("john") + ["</w>", "<cpad>"],
["<w>"] + list("loves") + ["</w>"],
["<w>"] + list("mary") + ["</w>", "<cpad>"],
["<w>", "</s>", "</w>"] + ["<cpad>"] * 4,
],
[
["<w>", "<s>", "</w>"] + ["<cpad>"] * 4,
["<w>"] + list("mary") + ["</w>", "<cpad>"],
["<w>"] + list("cries") + ["</w>"],
["<w>", "</s>", "</w>"] + ["<cpad>"] * 4,
["<cpad>"] * 7,
]]
numericalized, seq_len, word_len = field.numericalize(
(examples_data, [5, 4], [[3, 6, 7, 6, 3], [3, 6, 7, 3, 0]]))
assert numericalized.dim() == 3
assert len(seq_len) == 2
assert len(word_len) == 2
assert numericalized.size(0) == len(examples_data)
for example, numericalized_example in zip(examples_data,
numericalized):
verify_numericalized_example(field,
example,
numericalized_example,
batch_first=True)
def test_init_when_nesting_field_is_not_sequential(self):
nesting_field = data.Field(sequential=False)
field = data.NestedField(nesting_field)
assert field.pad_token == "<pad>"
batch_size=3,
device="cuda:0")
batch = next(iter(train_iter))
print("words", batch.word)
print("udtags", batch.udtag)
print("ptbtags", batch.ptbtag)
# Now lets try both word and character embeddings
WORD = data.Field(init_token="<bos>", eos_token="<eos>")
PTB_TAG = data.Field(init_token="<bos>", eos_token="<eos>")
# We'll use NestedField to tokenize each word into list of chars
CHAR_NESTING = data.Field(tokenize=list, init_token="<bos>", eos_token="<eos>")
CHAR = data.NestedField(CHAR_NESTING, init_token="<bos>", eos_token="<eos>")
fields = [(('word', 'char'), (WORD, CHAR)), (None, None), ('ptbtag', PTB_TAG)]
train, val, test = datasets.UDPOS.splits(fields=fields)
print(train.fields)
print(len(train))
print(vars(train[0]))
WORD.build_vocab(train.word,
val.word,
test.word,
vectors=[GloVe(name='6B', dim='300')])
CHAR.build_vocab(train.char, val.char, test.char)
PTB_TAG.build_vocab(train.ptbtag)