| import textwrap |
|
|
| import pyarrow as pa |
| import pytest |
|
|
| from datasets import Features, Image |
| from datasets.packaged_modules.text.text import Text |
|
|
| from ..utils import require_pil |
|
|
|
|
| @pytest.fixture |
| def text_file(tmp_path): |
| filename = tmp_path / "text.txt" |
| data = textwrap.dedent( |
| """\ |
| Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. |
| Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. |
| Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. |
| Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum. |
| |
| Second paragraph: |
| Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. |
| Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. |
| Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. |
| Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum. |
| """ |
| ) |
| with open(filename, "w", encoding="utf-8") as f: |
| f.write(data) |
| return str(filename) |
|
|
|
|
| @pytest.fixture |
| def text_file_with_image(tmp_path, image_file): |
| filename = tmp_path / "text_with_image.txt" |
| with open(filename, "w", encoding="utf-8") as f: |
| f.write(image_file) |
| return str(filename) |
|
|
|
|
| @pytest.mark.parametrize("keep_linebreaks", [True, False]) |
| def test_text_linebreaks(text_file, keep_linebreaks): |
| with open(text_file, encoding="utf-8") as f: |
| expected_content = f.read().splitlines(keepends=keep_linebreaks) |
| text = Text(keep_linebreaks=keep_linebreaks, encoding="utf-8") |
| generator = text._generate_tables([[text_file]]) |
| generated_content = pa.concat_tables([table for _, table in generator]).to_pydict()["text"] |
| assert generated_content == expected_content |
|
|
|
|
| @require_pil |
| def test_text_cast_image(text_file_with_image): |
| with open(text_file_with_image, encoding="utf-8") as f: |
| image_file = f.read().splitlines()[0] |
| text = Text(encoding="utf-8", features=Features({"image": Image()})) |
| generator = text._generate_tables([[text_file_with_image]]) |
| pa_table = pa.concat_tables([table for _, table in generator]) |
| assert pa_table.schema.field("image").type == Image()() |
| generated_content = pa_table.to_pydict()["image"] |
| assert generated_content == [{"path": image_file, "bytes": None}] |
|
|
|
|
| @pytest.mark.parametrize("sample_by", ["line", "paragraph", "document"]) |
| def test_text_sample_by(sample_by, text_file): |
| with open(text_file, encoding="utf-8") as f: |
| expected_content = f.read() |
| if sample_by == "line": |
| expected_content = expected_content.splitlines() |
| elif sample_by == "paragraph": |
| expected_content = expected_content.split("\n\n") |
| elif sample_by == "document": |
| expected_content = [expected_content] |
| text = Text(sample_by=sample_by, encoding="utf-8", chunksize=100) |
| generator = text._generate_tables([[text_file]]) |
| generated_content = pa.concat_tables([table for _, table in generator]).to_pydict()["text"] |
| assert generated_content == expected_content |
|
|
