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Release 0.10.2

refactor(pdf_parse_union_core_v2): optimize page processing time logging

Feat/add s3 read write example

docs(README): remove code examples and redirect to documentation

- Remove command line and API code examples from README files
- Add links to online documentation for command line and API usage
- Update content to point users to the new locations for detailed information

refactor(ocr): remove unused functions and optimize OCR processing loop

- Remove unused function `calculate_angle_degrees`- Refactor `calculate_is_angle` to use directly in OCR processing
- Eliminate unnecessary loop index `idx` in OCR processing loops

- Remove commented-out code in ocr_dict_merge.py
- Improve imports and code organization in ocr_detect_all_bboxes.py
- Delete unnecessary empty lines and improve code readability

refactor(libs): remove unused imports and functions

- Remove unused imports from commons.py
- Delete unused functions related to AWS and S3 operations
- Update import statements in other modules to reflect changes in commons.py
- Remove redundant code and improve code readability

test: json minify

fix: test_tools unittest

perf(image_processing): reduce maximum image size for analysis

- Decrease the maximum image size threshold from 9000 to 4500 pixels
- This change aims to improve performance and reduce memory usage
- Affects the custom model document analysis process

fix: test_rag

refactor: remove deprecated markdown_utils function

test: Shield some failed test cases

refactor(pre_proc): remove unused functions and simplify code

- Remove unused imports and functions across multiple files
- Simplify code by deleting unnecessary comments and empty lines
- Update function signatures to match actual usage
- Replace redundant code with more efficient alternatives

refactor(magic_pdf): remove unused functions and simplify code

refactor(magic_pdf): remove unused functions and simplify code

feat(pdf_parse): improve text extraction for vertical spans

- Calculate median span height to identify vertical spans
- Use PyMuPDF's 'dict' output to fill vertical spans with lines

test: comment out assertion in test_metascan_classify

- Disable the assertion for bool_classify_by_text_layout to skip this test

feat(pdf_parse): add OCR score to span data

- Add OCR score to span dictionary when OCR text is applied
- Improve data integrity by including confidence score

feat(ocr): filter out low confidence ocr results