曾与蒿藜同雨露,한때 잡초와 쑥과 함께 비와 이슬을 나누던 곳이 이제는 소나무와 삼나무와 함께 서리와 눈을 견뎌내고 있다.终随松柏到冰霜.かつては雑草やヨモギと共に雨や露を分かち合っていたが、今では松やヒノキと共に霜や雪に耐えている。曾与蒿藜同雨露,Once sharing rain and dew with weeds and wormwood, now enduring frost and snow with pines and cypresses.终随松柏到冰霜.曾与蒿藜同雨露한때 잡초와 쑥과 함께 비와 이슬을 나누던 곳이 이제는 소나무와 삼나무와 함께 서리와 눈을 견뎌내고 있다.,终随松柏到冰霜.譖セ荳手珍阯懷酔髮ィ髴イ�檎サ磯囂譚セ譟丞芦蜀ー髴�曾与蒿藜同雨露,鏇句笌钂胯棞鍚岄洦闇诧紝缁堥殢鏉炬煆鍒板啺闇�终随松柏到冰霜.曾与蒿藜同雨露,한때 잡초와 쑥과 함께 비와 이슬을 나누던 곳이 이제는 소나무와 삼나무와 함께 서리와 눈을 견뎌내고 있다.终随松柏到冰霜.曾与蒿藜同雨露,终随松柏到冰霜. rahbord-ins.ir - GrazzMean-Shell
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: /lib64/python2.7/test/ [ drwxr-xr-x ]
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name : test_imgfile.py
#! /usr/bin/env python

"""Simple test script for imgfile.c
   Roger E. Masse
"""

from test.test_support import verbose, unlink, findfile, import_module

imgfile = import_module('imgfile', deprecated=True)
import uu


def testimage(name):
    """Run through the imgfile's battery of possible methods
       on the image passed in name.
    """

    import sys
    import os

    outputfile = '/tmp/deleteme'

    # try opening the name directly
    try:
        # This function returns a tuple (x, y, z) where x and y are the size
        # of the image in pixels and z is the number of bytes per pixel. Only
        # 3 byte RGB pixels and 1 byte greyscale pixels are supported.
        sizes = imgfile.getsizes(name)
    except imgfile.error:
        # get a more qualified path component of the script...
        if __name__ == '__main__':
            ourname = sys.argv[0]
        else: # ...or the full path of the module
            ourname = sys.modules[__name__].__file__

        parts = ourname.split(os.sep)
        parts[-1] = name
        name = os.sep.join(parts)
        sizes = imgfile.getsizes(name)
    if verbose:
        print 'Opening test image: %s, sizes: %s' % (name, str(sizes))
    # This function reads and decodes the image on the specified file,
    # and returns it as a python string. The string has either 1 byte
    # greyscale pixels or 4 byte RGBA pixels. The bottom left pixel
    # is the first in the string. This format is suitable to pass
    # to gl.lrectwrite, for instance.
    image = imgfile.read(name)

    # This function writes the RGB or greyscale data in data to
    # image file file. x and y give the size of the image, z is
    # 1 for 1 byte greyscale images or 3 for RGB images (which
    # are stored as 4 byte values of which only the lower three
    # bytes are used). These are the formats returned by gl.lrectread.
    if verbose:
        print 'Writing output file'
    imgfile.write (outputfile, image, sizes[0], sizes[1], sizes[2])


    if verbose:
        print 'Opening scaled test image: %s, sizes: %s' % (name, str(sizes))
    # This function is identical to read but it returns an image that
    # is scaled to the given x and y sizes. If the filter and blur
    # parameters are omitted scaling is done by simply dropping
    # or duplicating pixels, so the result will be less than perfect,
    # especially for computer-generated images.  Alternatively,
    # you can specify a filter to use to smoothen the image after
    # scaling. The filter forms supported are 'impulse', 'box',
    # 'triangle', 'quadratic' and 'gaussian'. If a filter is
    # specified blur is an optional parameter specifying the
    # blurriness of the filter. It defaults to 1.0.  readscaled
    # makes no attempt to keep the aspect ratio correct, so that
    # is the users' responsibility.
    if verbose:
        print 'Filtering with "impulse"'
    simage = imgfile.readscaled (name, sizes[0]/2, sizes[1]/2, 'impulse', 2.0)

    # This function sets a global flag which defines whether the
    # scan lines of the image are read or written from bottom to
    # top (flag is zero, compatible with SGI GL) or from top to
    # bottom(flag is one, compatible with X). The default is zero.
    if verbose:
        print 'Switching to X compatibility'
    imgfile.ttob (1)

    if verbose:
        print 'Filtering with "triangle"'
    simage = imgfile.readscaled (name, sizes[0]/2, sizes[1]/2, 'triangle', 3.0)
    if verbose:
        print 'Switching back to SGI compatibility'
    imgfile.ttob (0)

    if verbose: print 'Filtering with "quadratic"'
    simage = imgfile.readscaled (name, sizes[0]/2, sizes[1]/2, 'quadratic')
    if verbose: print 'Filtering with "gaussian"'
    simage = imgfile.readscaled (name, sizes[0]/2, sizes[1]/2, 'gaussian', 1.0)

    if verbose:
        print 'Writing output file'
    imgfile.write (outputfile, simage, sizes[0]/2, sizes[1]/2, sizes[2])

    os.unlink(outputfile)


def test_main():

    uu.decode(findfile('testrgb.uue'), 'test.rgb')
    uu.decode(findfile('greyrgb.uue'), 'greytest.rgb')

    # Test a 3 byte color image
    testimage('test.rgb')

    # Test a 1 byte greyscale image
    testimage('greytest.rgb')

    unlink('test.rgb')
    unlink('greytest.rgb')

if __name__ == '__main__':
    test_main()
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