Result for 2A8A247A68B34D168DFC47F04CFE800100B411D6

Query result

Key Value
FileName./usr/lib/python3.10/site-packages/pyocr/__pycache__/tesseract.cpython-310.pyc
FileSize13130
MD5BD5B01F8975A481019DDA64C4660F682
SHA-12A8A247A68B34D168DFC47F04CFE800100B411D6
SHA-2561A87925D7C9FAA6E9E97492247A1A6BEF6AB2E7ADD923E489C644974DE5F109B
SSDEEP384:+ju0cFC4pKx83DFNfAeAdcYjz768jkSPRTZzQ2/:WuLC4pIg74LdcjfSPRTZc2/
TLSHT1954219D65947A6A3F961F174A06DC72C8B76DB6B432AC102B90D91CE1F4E3D02BF9098
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD53C1CCCFDCA4329CE3F50C2B2C4B9403E
PackageArchnoarch
PackageDescriptionPyocr is an optical character recognition (OCR) tool wrapper for python 3. That is, it helps using OCR tools from a Python 3 program. Pyocr can be used as a wrapper for google's Tesseract-OCR ( http://code.google.com/p/tesseract-ocr/ ) or Cuneiform. It can read all image types supported by the Python Imaging Library, including jpeg, png, gif, bmp, tiff, and others. It also support bounding box data.
PackageMaintainerneoclust <neoclust>
PackageNamepython3-pyocr
PackageRelease1.mga9
PackageVersion0.8.2
SHA-10828E696923E61BB2F8D0DB57BFD990DBD7425E8
SHA-25664AF507BE4BFDC74612D53786108309A0A0F9FE9A77F82429C9E48983AF22D0D