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[Typing][B-65,B-66] Add type annotations for python/paddle/text/datasets/{wmt14,wmt16}.py #66058

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48 changes: 37 additions & 11 deletions python/paddle/text/datasets/wmt14.py
Original file line number Diff line number Diff line change
Expand Up @@ -11,14 +11,20 @@
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from __future__ import annotations

import tarfile
from typing import TYPE_CHECKING, Literal

import numpy as np

from paddle.dataset.common import _check_exists_and_download
from paddle.io import Dataset

if TYPE_CHECKING:
import numpy.typing as npt

_Wmt14DataSetMode = Literal["train", "test", "gen"]
__all__ = []

URL_DEV_TEST = (
Expand All @@ -45,12 +51,12 @@ class WMT14(Dataset):
http://paddlemodels.bj.bcebos.com/wmt/wmt14.tgz .

Args:
data_file(str): path to data tar file, can be set None if
:attr:`download` is True. Default None
mode(str): 'train', 'test' or 'gen'. Default 'train'
data_file(str|None): path to data tar file, can be set None if
:attr:`download` is True. Default None.
mode(str): 'train', 'test' or 'gen'. Default 'train'.
dict_size(int): word dictionary size. Default -1.
download(bool): whether to download dataset automatically if
:attr:`data_file` is not set. Default True
:attr:`data_file` is not set. Default True.

Returns:
Dataset: Instance of WMT14 dataset
Expand Down Expand Up @@ -95,9 +101,21 @@ class WMT14(Dataset):

"""

mode: _Wmt14DataSetMode
data_file: str | None
dict_size: int
out_dict: dict[str, int]
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src_ids: list[npt.NDArray[np.int_]]
trg_ids: list[npt.NDArray[np.int_]]
trg_ids_next: list[npt.NDArray[np.int_]]
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def __init__(
self, data_file=None, mode='train', dict_size=-1, download=True
):
self,
data_file: str | None = None,
mode: _Wmt14DataSetMode = 'train',
dict_size: int = -1,
download: bool = True,
) -> None:
assert mode.lower() in [
'train',
'test',
Expand All @@ -119,8 +137,8 @@ def __init__(
self.dict_size = dict_size
self._load_data()

def _load_data(self):
def __to_dict(fd, size):
def _load_data(self) -> None:
def __to_dict(fd, size: int) -> dict:
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out_dict = {}
for line_count, line in enumerate(fd):
if line_count < size:
Expand Down Expand Up @@ -181,17 +199,25 @@ def __to_dict(fd, size):
self.trg_ids.append(trg_ids)
self.trg_ids_next.append(trg_ids_next)

def __getitem__(self, idx):
def __getitem__(
self, idx: int
) -> tuple[
npt.NDArray[np.int_],
npt.NDArray[np.int_],
npt.NDArray[np.int_],
]:
return (
np.array(self.src_ids[idx]),
np.array(self.trg_ids[idx]),
np.array(self.trg_ids_next[idx]),
)

def __len__(self):
def __len__(self) -> int:
return len(self.src_ids)

def get_dict(self, reverse=False):
def get_dict(
self, reverse: bool = False
) -> tuple[dict[str, int], dict[int, str]]:
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"""
Get the source and target dictionary.

Expand Down
58 changes: 44 additions & 14 deletions python/paddle/text/datasets/wmt16.py
Original file line number Diff line number Diff line change
Expand Up @@ -12,17 +12,24 @@
# See the License for the specific language governing permissions and
# limitations under the License.

from __future__ import annotations

import os
import tarfile
from collections import defaultdict
from typing import TYPE_CHECKING, Literal

import numpy as np

import paddle
from paddle.dataset.common import _check_exists_and_download
from paddle.io import Dataset

if TYPE_CHECKING:
import numpy.typing as npt

_Wmt16DataSetMode = Literal["train", "test", "val"]
_Wmt16Language = Literal["en", "de"]
__all__ = []

DATA_URL = "http://paddlemodels.bj.bcebos.com/wmt/wmt16.tar.gz"
Expand Down Expand Up @@ -57,7 +64,7 @@ class WMT16(Dataset):
}

Args:
data_file(str): path to data tar file, can be set None if
data_file(str|None): path to data tar file, can be set None if
:attr:`download` is True. Default None.
mode(str): 'train', 'test' or 'val'. Default 'train'.
src_dict_size(int): word dictionary size for source language word. Default -1.
Expand Down Expand Up @@ -109,15 +116,26 @@ class WMT16(Dataset):
55 24 25
"""

mode: _Wmt16DataSetMode
data_file: str | None
lang: _Wmt16Language
src_dict_size: int
trg_dict_size: int
src_dict: dict[str, int]
trg_dict: dict[str, int]
src_ids: list[npt.NDArray[np.int_]]
trg_ids: list[npt.NDArray[np.int_]]
trg_ids_next: list[npt.NDArray[np.int_]]
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def __init__(
self,
data_file=None,
mode='train',
src_dict_size=-1,
trg_dict_size=-1,
lang='en',
download=True,
):
data_file: str | None = None,
mode: _Wmt16DataSetMode = 'train',
src_dict_size: int = -1,
trg_dict_size: int = -1,
lang: _Wmt16Language = 'en',
download: bool = True,
) -> None:
assert mode.lower() in [
'train',
'test',
Expand Down Expand Up @@ -153,7 +171,9 @@ def __init__(
# load data
self.data = self._load_data()

def _load_dict(self, lang, dict_size, reverse=False):
def _load_dict(
self, lang: _Wmt16Language, dict_size: int, reverse: bool = False
) -> dict[str, int] | dict[int, str]:
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dict_path = os.path.join(
paddle.dataset.common.DATA_HOME,
"wmt16/%s_%d.dict" % (lang, dict_size),
Expand All @@ -174,7 +194,9 @@ def _load_dict(self, lang, dict_size, reverse=False):
word_dict[line.strip().decode()] = idx
return word_dict

def _build_dict(self, dict_path, dict_size, lang):
def _build_dict(
self, dict_path: str, dict_size: int, lang: _Wmt16Language
) -> None:
word_dict = defaultdict(int)
with tarfile.open(self.data_file, mode="r") as f:
for line in f.extractfile("wmt16/train"):
Expand All @@ -196,7 +218,7 @@ def _build_dict(self, dict_path, dict_size, lang):
fout.write(word[0].encode())
fout.write(b'\n')

def _load_data(self):
def _load_data(self) -> None:
# the index for start mark, end mark, and unk are the same in source
# language and target language. Here uses the source language
# dictionary to determine their indices.
Expand Down Expand Up @@ -233,17 +255,25 @@ def _load_data(self):
self.trg_ids.append(trg_ids)
self.trg_ids_next.append(trg_ids_next)

def __getitem__(self, idx):
def __getitem__(
self, idx: int
) -> tuple[
npt.NDArray[np.int_],
npt.NDArray[np.int_],
npt.NDArray[np.int_],
]:
return (
np.array(self.src_ids[idx]),
np.array(self.trg_ids[idx]),
np.array(self.trg_ids_next[idx]),
)

def __len__(self):
def __len__(self) -> int:
return len(self.src_ids)

def get_dict(self, lang, reverse=False):
def get_dict(
self, lang: _Wmt16Language, reverse: bool = False
) -> dict[str, int] | dict[int, str]:
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"""
return the word dictionary for the specified language.

Expand Down