Source code for large_image.constants

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[docs]class SourcePriority: NAMED = 0 # Explicitly requested PREFERRED = 1 HIGHER = 2 HIGH = 3 MEDIUM = 4 LOW = 5 LOWER = 6 FALLBACK_HIGH = 7 FALLBACK = 8 MANUAL = 9 # Will never be selected automatically
TILE_FORMAT_IMAGE = 'image' TILE_FORMAT_PIL = 'PIL' TILE_FORMAT_NUMPY = 'numpy' NEW_IMAGE_PATH_FLAG = '__new_image__' TileOutputMimeTypes = { 'JPEG': 'image/jpeg', 'PNG': 'image/png', 'TIFF': 'image/tiff', # TILED indicates the region output should be generated as a tiled TIFF 'TILED': 'image/tiff', # JFIF forces conversion to JPEG through PIL to ensure the image is in a # common colorspace. JPEG colorspace is complex: see # https://docs.oracle.com/javase/8/docs/api/javax/imageio/metadata/ # doc-files/jpeg_metadata.html 'JFIF': 'image/jpeg', } TileOutputPILFormat = { 'JFIF': 'JPEG' } TileInputUnits = { None: 'base_pixels', 'base': 'base_pixels', 'base_pixel': 'base_pixels', 'base_pixels': 'base_pixels', 'pixel': 'mag_pixels', 'pixels': 'mag_pixels', 'mag_pixel': 'mag_pixels', 'mag_pixels': 'mag_pixels', 'magnification_pixel': 'mag_pixels', 'magnification_pixels': 'mag_pixels', 'mm': 'mm', 'millimeter': 'mm', 'millimeters': 'mm', 'fraction': 'fraction', } # numpy dtype to pyvips GValue dtypeToGValue = { 'b': 'char', 'B': 'uchar', 'd': 'double', 'D': 'dpcomplex', 'f': 'float', 'F': 'complex', 'h': 'short', 'H': 'ushort', 'i': 'int', 'I': 'uint', } GValueToDtype = {v: k for k, v in dtypeToGValue.items()}