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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def select_image_layer(infiles, output_file, log, context):
 """Selects the image layer for the output page. If possible this is the orientation-corrected input page, or an image of the whole page converted to PDF."""


    options = context.get_options()
    page_pdf = next(ii for ii in infiles if ii.endswith('.ocr.oriented.pdf'))
    image = next(ii for ii in infiles if ii.endswith('.image'))

    if options.lossless_reconstruction:
        log.debug(
            f"{page_number(page_pdf):4d}: page eligible for lossless reconstruction"
        )
        re_symlink(page_pdf, output_file, log)  # Still points to multipage
        return

    pageinfo = get_pageinfo(image, context)

    # We rasterize a square DPI version of each page because most image
    # processing tools don't support rectangular DPI. Use the square DPI as it
    # accurately describes the image. It would be possible to resample the image
    # at this stage back to non-square DPI to more closely resemble the input,
    # except that the hocr renderer does not understand non-square DPI. The
    # sandwich renderer would be fine.
    dpi = get_page_square_dpi(pageinfo, options)
    layout_fun = img2pdf.get_fixed_dpi_layout_fun((dpi, dpi))

    # This create a single page PDF
    with open(image, 'rb') as imfile, open(output_file, 'wb') as pdf:
        log.debug(f'{page_number(page_pdf):4d}: convert')
        img2pdf.convert(
            imfile, with_pdfrw=False, layout_fun=layout_fun, outputstream=pdf
        )
        log.debug(f'{page_number(page_pdf):4d}: convert done')