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29b9ea7ba6
The purpose of this PR is to refactor OCR-related modules to reduce unnecessary module imports to avoid potential issues (most likely due to a "circular import"). ### Summary - add `inference_utils` module (unstructured/partition/pdf_image/inference_utils.py) to define unstructured-inference library related utility functions, which will reduce importing unstructured-inference library functions in other files - add `conftest.py` in `test_unstructured/partition/pdf_image/` directory to define fixtures that are available to all tests in the same directory and its subdirectories ### Testing CI should pass
38 lines
1.3 KiB
Python
38 lines
1.3 KiB
Python
from unstructured_inference.inference.elements import TextRegion
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from unstructured_inference.inference.layoutelement import LayoutElement
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from unstructured.documents.elements import ElementType
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from unstructured.partition.pdf_image.inference_utils import (
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build_layout_elements_from_ocr_regions,
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merge_text_regions,
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)
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def test_merge_text_regions(mock_embedded_text_regions):
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expected = TextRegion.from_coords(
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x1=437.83888888888885,
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y1=317.319341111111,
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x2=1256.334784222222,
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y2=406.9837855555556,
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text="LayoutParser: A Unified Toolkit for Deep Learning Based Document Image",
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)
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merged_text_region = merge_text_regions(mock_embedded_text_regions)
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assert merged_text_region == expected
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def test_build_layout_elements_from_ocr_regions(mock_embedded_text_regions):
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expected = [
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LayoutElement.from_coords(
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x1=437.83888888888885,
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y1=317.319341111111,
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x2=1256.334784222222,
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y2=406.9837855555556,
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text="LayoutParser: A Unified Toolkit for Deep Learning Based Document Image",
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type=ElementType.UNCATEGORIZED_TEXT,
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),
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]
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elements = build_layout_elements_from_ocr_regions(mock_embedded_text_regions)
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assert elements == expected
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