예제 #1
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def _get_png_info(**kw):
    """\
    Returns the width, height and the pixels of the provided PNG file.
    """
    reader = PNGReader(**kw)
    w, h, pixels, meta = reader.asDirect()
    return w, h, _make_pixel_array(pixels, meta['greyscale'])
예제 #2
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    def append_png_assertion(self, badge):
        """ Append the assertion to a PNG file """

        badge.signed = _signature

        chunks = list()
        png = Reader(bytes=badge.source.image)

        for chunk in png.chunks():
            chunks.append(chunk)

        itxt_data = b'openbadges' + pack(
            'BBBBB', 0, 0, 0, 0, 0) + badge.get_assertion().encode('utf-8')
        itxt = ('iTXt', itxt_data)
        chunks.insert(len(chunks) - 1, itxt)

        text_data = 'Comment Signed with OpenBadgesLib %s' % __version__
        text = ('tEXt', text_data.encode('utf-8'))
        chunks.insert(len(chunks) - 1, text)

        for tag, data in chunks:
            badge.signed = badge.signed + pack("!I", len(data))
            tag = tag.encode('iso8859-1')
            badge.signed = badge.signed + tag
            badge.signed = badge.signed + data
            checksum = crc32(tag)
            checksum = crc32(data, checksum)
            checksum &= 2**32 - 1
            badge.signed = badge.signed + pack("!I", checksum)
def load_textures():
    global texture
    texture = GL.glGenTextures(2)

    png_img = Reader(
        filename=
        'D:\\0\\GitHub\\CEFET-Computacao_Grafica_2020-2\\Trab_08-Esfera_Texturizada\\mapa.png'
    )

    w, h, pixels, metadata = png_img.read_flat()

    if (metadata['alpha']):
        modo = GL.GL_RGBA
    else:
        modo = GL.GL_RGB

    GL.glBindTexture(GL.GL_TEXTURE_2D, texture[0])
    GL.glPixelStorei(GL.GL_UNPACK_ALIGNMENT, 1)
    GL.glTexImage2D(GL.GL_TEXTURE_2D, 0, modo, w, h, 0, modo,
                    GL.GL_UNSIGNED_BYTE, pixels.tolist())
    GL.glTexParameterf(GL.GL_TEXTURE_2D, GL.GL_TEXTURE_WRAP_S, GL.GL_REPEAT)
    GL.glTexParameterf(GL.GL_TEXTURE_2D, GL.GL_TEXTURE_WRAP_T, GL.GL_REPEAT)
    GL.glTexParameterf(GL.GL_TEXTURE_2D, GL.GL_TEXTURE_MAG_FILTER,
                       GL.GL_NEAREST)
    GL.glTexParameterf(GL.GL_TEXTURE_2D, GL.GL_TEXTURE_MIN_FILTER,
                       GL.GL_NEAREST)
    GL.glTexEnvf(GL.GL_TEXTURE_ENV, GL.GL_TEXTURE_ENV_MODE, GL.GL_DECAL)
예제 #4
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파일: test_png.py 프로젝트: heuer/segno
def _get_png_info(**kw):
    """\
    Returns the width, height and the pixels of the provided PNG file.
    """
    reader = PNGReader(**kw)
    w, h, pixels, meta = reader.asDirect()
    return w, h, _make_pixel_array(pixels, meta['greyscale'])
예제 #5
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def test_greyscale():
    qr = segno.make_qr('test')
    buff = io.BytesIO()
    qr.save(buff, kind='png', quiet_zone='white')
    buff.seek(0)
    reader = PNGReader(file=buff)
    reader.preamble()
    assert reader.greyscale
예제 #6
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def extract_png_assertion(file_data):
    png = Reader(bytes=file_data)

    for tag, data in png.chunks():
        if tag == 'iTXt':
            fmt_len = len(data) - 15  # 15=len('openbadges'+pack('BBBBB'))
            fmt = '<10s5B%ds' % fmt_len
            return Assertion.decode(unpack(fmt, data)[6])
예제 #7
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파일: triangle.py 프로젝트: marksg07/shapes
def textureTest():
    help(Reader)
    r = Reader(file=open('tesx.png'))
    rgb = list(r.asRGBA()[2])
    print len(rgb),len(rgb[0])
    img = Image(500,500)
    drawTexturedTri(150,150,300,100,100,300,1,0,0,1,1,1,rgb,(255,255,0),img)
    img.savePpm('t.ppm')
예제 #8
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    def has_png_assertion(self, badge):
        png = Reader(bytes=badge.image)

        for tag, data in png.chunks():
            if tag == 'iTXt':
                if data.startswith(b'openbadges'):
                    return True

        return False
예제 #9
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def test_greyscale():
    fn = _make_tmp_png_filename()
    res = cli.main(['--quiet-zone=white', '--output={0}'.format(fn), 'test'])
    with open(fn, 'rb') as f:
        data = io.BytesIO(f.read())
    os.unlink(fn)
    assert 0 == res
    reader = PNGReader(file=data)
    reader.preamble()
    assert reader.greyscale
예제 #10
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def test_png_file(filename: str) -> None:
    """
    Takes the relative filename of a PNG file and draws the quadtree on top of it

    :param filename:
    :return:
    """
    reader = Reader(filename)
    pngdata = reader.read() #extract file
    matrix = numpy.array([[y//255 for y in x] for x in list(pngdata[2])])[:, ::3]  # load into numpy array
    lqtld = trees.LinearQuadTree(value_matrix=matrix)
    lqtld.draw_all_usable_cells()
    lqtld.generate_debug_png('../output.png')
예제 #11
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 def to_fits(self, out_file):
     """
     Converts a PNG to file a FITS file.
     
     :param out_file:    User specified filename for the FITS
     """
     if not self.png:
         raise ValueError, "AstroPNG was not initialized with a PNG image"
     
     # Reading the PNG takes two passes (for now)
     r = Reader(self.png)
     width, height, imgdata, metadata = r.read()
     
     fluxes = numpy.vstack( itertools.imap(numpy.uint16, imgdata) )
     
     r = Reader(self.png)
     chunks = r.chunks()
     
     has_fits            = False
     has_quantization    = False
     has_nans            = False
     
     # Read the custom astro chunks
     while True:
         try:
             chunk_name, data = chunks.next()
         except:
             break
         if chunk_name == 'fITS':
             header = self.__read_fits_header(data)
             has_fits = True
         elif chunk_name == 'qANT':
             zzero, zscale = self.__read_quantization_parameters(data, height)
             has_quantization = True
         elif chunk_name == 'nANS':
             y_nans, x_nans = self.__read_nan_locations(data)
             has_nans = True
         elif chunk_name == 'iEND':
             break
     
     if has_quantization:
         random_numbers = self.__random_number_generator(N = width * height).reshape( (height, width) )
         fluxes = (fluxes - random_numbers + 0.5) * numpy.vstack(zscale) + numpy.vstack(zzero)
     if has_nans:
         if y_nans.size > 0:
             fluxes[y_nans, x_nans] = numpy.nan
     
     fluxes = numpy.flipud(fluxes)
     hdu = pyfits.PrimaryHDU(fluxes, header)
     hdu.verify()
     hdu.writeto(out_file, output_verify='ignore')
예제 #12
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def test_plte():
    qr = segno.make_qr('test')
    buff = io.BytesIO()
    dark = (0, 0, 139)
    qr.save(buff, kind='png', dark=dark, light=None)
    buff.seek(0)
    reader = PNGReader(file=buff)
    reader.preamble()
    assert not reader.greyscale
    palette = reader.palette()
    assert 2 == len(palette)
    assert 0 == palette[0][3]  # Transparent color
    dark_with_alpha = dark + (255, )
    assert dark_with_alpha in palette
예제 #13
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def test_plte_no_transparency():
    qr = segno.make_qr('test')
    buff = io.BytesIO()
    dark = (0, 0, 139)
    light = (255, 255, 255)
    qr.save(buff, kind='png', dark=dark, light=light)
    buff.seek(0)
    reader = PNGReader(file=buff)
    reader.preamble()
    assert not reader.greyscale
    palette = reader.palette()
    assert 2 == len(palette)
    assert dark in palette
    assert light in palette
예제 #14
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def test_not_greyscale():
    qr = segno.make_qr('test')
    buff = io.BytesIO()
    qr.save(buff, kind='png',
            quiet_zone=None)  # Three "colors": white, black, transparent
    buff.seek(0)
    reader = PNGReader(file=buff)
    reader.preamble()
    assert not reader.greyscale
    palette = reader.palette()
    assert 3 == len(palette)
    assert 0 == palette[0][3]  # Transparent color
    assert (0, 0, 0, 255) in palette  # black
    assert (255, 255, 255, 255) in palette  # white
def one_channel_image_reader(filepath,
                             datatype,
                             input_has_three_channels=True):
    """Labels are stored in a crude way into the png format that cannot be handled by
    standard libraries. Therefore, we have to create this decoder."""
    im = Reader(filepath)
    _, _, array, _ = im.asDirect()
    array = np.vstack(itertools.imap(datatype, array))
    if input_has_three_channels:
        # This image array is now in 'boxed row flat pixel' format, meaning that each row
        # is just a continuous list of R, G, B, R, G, B, R, ... values.
        # We are in this case only interested in the first component, which holds the
        # class label, therefore we take every third value.
        array = array[:, range(0, array.shape[1], 3)]
    return datatype(array)
예제 #16
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    def __readPngFile(self):
        with open(self._s_file, "rb") as fs:
            _reader = Reader(file=fs)
            _data = _reader.read()

            _colorarray = []
            for frame in list(_data[2]):
                framearray = list(frame)
                _colorarray.append([
                    framearray[x:x + 3] for x in range(0, len(framearray), 3)
                ])

            self.__nbleds = _data[0]
            self.__nbframes = _data[1]
            self.__data = _colorarray
예제 #17
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def test_not_greyscale():
    fn = _make_tmp_png_filename()
    res = cli.main(
        ['--quiet-zone=transparent', '--output={0}'.format(fn), 'test'])
    with open(fn, 'rb') as f:
        data = io.BytesIO(f.read())
    os.unlink(fn)
    assert 0 == res
    reader = PNGReader(file=data)
    reader.preamble()
    assert not reader.greyscale
    palette = reader.palette()
    assert 3 == len(palette)
    assert 0 == palette[0][3]  # Transparent color
    assert (0, 0, 0, 255) in palette  # black
    assert (255, 255, 255, 255) in palette  # white
예제 #18
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def load():
    global textura
    textura = GL.glGenTextures(2)
    imagem = Reader(filename='C:\\Users\\Pedro\\Desktop\\computacao grafica\\trabalhos cg 2021.1\\7 - globo textura\\globomodelo.png')
    w, h, pixels, metadata = imagem.read_flat()
    if(metadata['alpha']):
        mod = GL.GL_RGBA
    else:
        mod = GL.GL_RGB
    GL.glBindTexture(GL.GL_TEXTURE_2D, textura[0])
    GL.glPixelStorei(GL.GL_UNPACK_ALIGNMENT, 1)
    GL.glTexImage2D(GL.GL_TEXTURE_2D, 0, mod, w, h, 0, mod, GL.GL_UNSIGNED_BYTE, pixels.tolist())
    GL.glTexParameterf(GL.GL_TEXTURE_2D, GL.GL_TEXTURE_WRAP_S, GL.GL_REPEAT)
    GL.glTexParameterf(GL.GL_TEXTURE_2D, GL.GL_TEXTURE_WRAP_T, GL.GL_REPEAT)
    GL.glTexParameterf(GL.GL_TEXTURE_2D, GL.GL_TEXTURE_MAG_FILTER, GL.GL_NEAREST)
    GL.glTexParameterf(GL.GL_TEXTURE_2D, GL.GL_TEXTURE_MIN_FILTER, GL.GL_NEAREST)
    GL.glTexEnvf(GL.GL_TEXTURE_ENV, GL.GL_TEXTURE_ENV_MODE, GL.GL_DECAL)
예제 #19
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def test_png_gen_greyscale_works():
    alpha_ch = np.array([[1, 1, 1]])
    gen = PngGenerator(alpha_ch, greyscale=True)

    img_data = np.array([[0.0, 5.0, 10.0]])
    norm_img_data = (img_data - img_data.min()) / (img_data.max() -
                                                   img_data.min())
    img_bytes = gen.generate_png(img_data)

    reader = Reader(bytes=img_bytes)
    width, height, pixels, _ = reader.asFloat()
    assert_equal(width, 3)
    assert_equal(height, 1)

    grey_shape = img_data.shape + (2, )
    assert_almost_equal(np.array(list(pixels)).reshape(grey_shape)[:, :, 0],
                        norm_img_data,
                        decimal=4)
예제 #20
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def load_image(filename):
    """Given the file name of a PNG file, create and return an Image object
    representing the image.
    """
    if not isfile(filename):
        raise ValueError("file '" + filename + "' cannot be found")

    reader = Reader(filename)
    num_cols, num_rows, pixels, _ = reader.asRGBA()

    rows = []
    for row in pixels:
        # note: each 'row' from this iterator is an array, so we call
        # its tolist() method here and box it
        rows.append(_box(row.tolist(), input_type='rgba'))

    img = Image(num_rows, num_cols)
    img.image_data = rows
    return img
예제 #21
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    def generate_spectrogram_file(self, audio: AudioRecording):
        prefilter = settings.SPECTROGRAM_PREFILTER
        credit = settings.SPECTROGRAM_CREDIT

        title = '(unknown) '

        if audio.species:
            title = f'{audio.genus} {audio.species} '
            try:
                species = self.species_lookup.species_by_abbreviations(
                    audio.genus, audio.species)
            except NonUniqueSpeciesLookup:
                species = None

            if species:
                species_ucfirst = species.species[0].upper(
                ) + species.species[1:]
                if species.common_name:
                    title = f'{species.common_name} ({species.genus} {species_ucfirst}) '
                else:
                    title = f'{species.genus} {species_ucfirst} '

        if audio.recorded_at_iso:
            title += date_parser.parse(
                audio.recorded_at_iso).strftime('%Y-%m-%d %H:%M')

        if not audio.id:
            audio.save()
        dest = os.path.join(settings.MEDIA_ROOT, 'processed', 'spectrograms',
                            f'{audio.id}-{audio.identifier}.png')
        print(f'Plot {audio.audio_file} spectrum to {dest}')
        #     sox "$file" -n spectrogram -o "$outfile" -t "$ident"
        sox_result = subprocess.run([
            self.sox_executable,
            audio.audio_file,
            '-n',
        ] + prefilter + ['spectrogram', '-o', dest, '-c', credit, '-t', title])
        sox_result.check_returncode()
        png_reader = Reader(filename=dest)
        (width, height, _, _) = png_reader.read()
        audio.spectrogram_image_file = dest
        audio.spectrogram_image_width = width
        audio.spectrogram_image_height = height
예제 #22
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def load_image(filename):
    """Given the file name of a PNG file, create and return an Image object
    representing the image.
    """
    if not isfile(filename):
        raise ValueError("file '" + filename + "' cannot be found")

    reader = Reader(filename)
    num_cols, num_rows, pixels, _ = reader.asRGBA()

    rows = []
    for row in pixels:
        # note: each 'row' from this iterator is an array, so we call
        # its tolist() method here and box it
        rows.append(_box(row.tolist(), input_type='rgba'))

    img = Image(num_rows, num_cols)
    img.image_data = rows
    return img
예제 #23
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def test_plte_colors():
    fn = _make_tmp_png_filename()
    res = cli.main([
        '--quiet-zone=green', '--finder-dark=purple', '--finder-light=yellow',
        '--output={0}'.format(fn), 'test'
    ])
    with open(fn, 'rb') as f:
        data = io.BytesIO(f.read())
    os.unlink(fn)
    assert 0 == res
    reader = PNGReader(file=data)
    reader.preamble()
    assert not reader.greyscale
    palette = reader.palette()
    assert 5 == len(palette)
    assert (0, 0, 0) in palette
    assert (255, 255, 255) in palette
    assert colors._color_to_rgb('green') in palette
    assert colors._color_to_rgb('purple') in palette
    assert colors._color_to_rgb('yellow') in palette
예제 #24
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def LoadTextures():
    global texture
    texture = GL.glGenTextures(2)

    ###############################################################################################
    reader = Reader(filename='C:\\Users\\user\\Desktop\\computação grafica\\mapa.png')
    w, h, pixels, metadata = reader.read_flat()

    if(metadata['alpha']):
        modo = GL.GL_RGBA
    else:
        modo = GL.GL_RGB

    GL.glBindTexture(GL.GL_TEXTURE_2D, texture[0])
    GL.glPixelStorei(GL.GL_UNPACK_ALIGNMENT, 1)
    GL.glTexImage2D(GL.GL_TEXTURE_2D, 0, modo, w, h, 0, modo, GL.GL_UNSIGNED_BYTE, pixels.tolist())
    GL.glTexParameterf(GL.GL_TEXTURE_2D, GL.GL_TEXTURE_WRAP_S, GL.GL_REPEAT)
    GL.glTexParameterf(GL.GL_TEXTURE_2D, GL.GL_TEXTURE_WRAP_T, GL.GL_REPEAT)
    GL.glTexParameterf(GL.GL_TEXTURE_2D, GL.GL_TEXTURE_MAG_FILTER, GL.GL_NEAREST)
    GL.glTexParameterf(GL.GL_TEXTURE_2D, GL.GL_TEXTURE_MIN_FILTER, GL.GL_NEAREST)
    GL.glTexEnvf(GL.GL_TEXTURE_ENV, GL.GL_TEXTURE_ENV_MODE, GL.GL_DECAL)
예제 #25
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def load_textures():
    global texture
    texture = glGenTextures(2)

    mapa = Reader(filename='./mapa.png')

    w, h, pixels, metadata = mapa.read_flat()

    if (metadata['alpha']):
        modo = GL_RGBA
    else:
        modo = GL_RGB

    glBindTexture(GL_TEXTURE_2D, texture[0])
    glPixelStorei(GL_UNPACK_ALIGNMENT, 1)
    glTexImage2D(GL_TEXTURE_2D, 0, modo, w, h, 0, modo, GL_UNSIGNED_BYTE,
                 pixels.tolist())
    glTexParameterf(GL_TEXTURE_2D, GL_TEXTURE_WRAP_S, GL_REPEAT)
    glTexParameterf(GL_TEXTURE_2D, GL_TEXTURE_WRAP_T, GL_REPEAT)
    glTexParameterf(GL_TEXTURE_2D, GL_TEXTURE_MAG_FILTER, GL_NEAREST)
    glTexParameterf(GL_TEXTURE_2D, GL_TEXTURE_MIN_FILTER, GL_NEAREST)
    glTexEnvf(GL_TEXTURE_ENV, GL_TEXTURE_ENV_MODE, GL_DECAL)
예제 #26
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def test_issue_54_notinverted(dark, light, transparent):
    qr = segno.make('The Beatles')
    assert 'M4-M' == qr.designator
    out = io.BytesIO()
    scale = 5
    qr.save(out, kind='png', scale=scale, dark=dark, light=light)
    out.seek(0)
    reader = PNGReader(file=out)
    w, h, pixels, meta = reader.read()
    width, height = qr.symbol_size(scale=scale)
    assert width == w
    assert height == h
    assert meta['greyscale']
    border_row = tuple([1] * w)
    expected_row = tuple([1] * 2 * scale + [0] * 7 * scale + [1])
    for idx, row in enumerate(pixels):
        if idx < 10:
            assert border_row == tuple(row)
        elif idx == 10:
            assert expected_row == tuple(row)[:len(expected_row)]
            break
    assert transparent == reader.transparent
예제 #27
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def test_plte_colors():
    qr = segno.make_qr('test')
    buff = io.BytesIO()
    dark = (0, 0, 139)
    light = (255, 255, 255)
    qr.save(buff,
            kind='png',
            dark=dark,
            light=light,
            quiet_zone='green',
            finder_dark='purple',
            finder_light='yellow')
    buff.seek(0)
    reader = PNGReader(file=buff)
    reader.preamble()
    assert not reader.greyscale
    palette = reader.palette()
    assert 5 == len(palette)
    assert dark in palette
    assert light in palette
    assert colors._color_to_rgb('green') in palette
    assert colors._color_to_rgb('purple') in palette
    assert colors._color_to_rgb('yellow') in palette
from png import Reader

FILENAME = "target_gradent.png"
background = Actor("background")
background.web_color = "#000000"

with open(FILENAME, 'rb') as f:
    reader = Reader(file=f)
    file_data = reader.read()
    """
    (686,
     300,
     <map at 0x7f153a04aa20>,
     {'alpha': True,
      'size': (686, 300),
      'planes': 4,
      'interlace': 0,
      'bitdepth': 8,
      'greyscale': False,
      'background': (255, 255, 255)})
    """

    image_width, image_height = file_data[0], file_data[1]
    # take the three ranges (drop alpha) for the whole width
    #colors = [c[:3] for c in list(zip(*list(file_data[2])))[:image_width]]
    #colors = list(file_data[2])
    raw = list(file_data[2])[0]
    colors = list(zip(raw[::4], raw[1::4], raw[2::4]))

go_and_back_colors = colors + colors[::-1]
예제 #29
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파일: triangle.py 프로젝트: marksg07/shapes
def getTexture(texture, texcache):
    if texture not in texcache:
        r = Reader(texture)
        rgb = list(r.asRGBA()[2])
        texcache[texture] = rgb
    return texcache[texture]
예제 #30
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def main():

    comm = MPI.COMM_WORLD
    id= comm.Get_rank()
    wsize= comm.Get_size()    
    tstart = MPI.Wtime()
    fsky = open("skymap.png","r")
    reader = Reader(fsky)
    skypixelwidth, skypixelheight, skypixels, metadata=reader.read_flat()
    pixelwidth = int(argv[1])
    pixelheight = int(argv[2])
    tskymapstart = MPI.Wtime()
    telepixels = np.zeros((pixelwidth*pixelheight*3),dtype=np.uint8)
    colorpixels = np.zeros((pixelwidth*pixelheight),dtype=np.uint8)
    skystartall = np.zeros((pixelwidth*pixelheight),dtype=np.uint32)
    telestartall = np.zeros((pixelwidth*pixelheight),dtype=np.uint32)
    colorall = np.zeros((pixelwidth*pixelheight),dtype=np.uint8)
    totnstepsall=np.zeros((wsize),dtype=np.uint32)
    tskymapend = MPI.Wtime()
    tskymap = tskymapend-tskymapstart

    tmin = 1.e6
    tpercparmin=1.e6
    hinit=1.e-1
    #h=1.e-4
    Router = 1000.
    Rplane = 700.
    Rs = 2.
    every = 1
    deltalamb = 1.e-1
    imagewidth = 50;
    imageheight = 50;
    tiny = 1.e-30
    epsilon=1.e-8
    eccentricity = 0.2
    Rfac = 1.+1.e-10
    heps = 1.e-14
    semilatusr = 10.0  

    
    tstartpp=MPI.Wtime() #percent parallelized
    numperprocess = pixelheight*pixelwidth/wsize
    skystart=np.zeros((numperprocess),dtype=np.int32)
    telestart=np.zeros((numperprocess),dtype=np.int32)
    color = np.zeros((numperprocess),dtype=np.int8)
    totnsteps=np.zeros((numperprocess),dtype=np.int32)
    trk4all=np.zeros((numperprocess),dtype=np.float)
    ttelestop = MPI.Wtime()
    ttele = ttelestop-tstartpp
    trk4=float("inf")
    for index in range(numperprocess):
        ypix = int((id*numperprocess+index)/pixelwidth)
        xpix = (id*numperprocess+index)%pixelwidth
        tstartrk4=MPI.Wtime()
        totnsteps[index],skystart[index],telestart[index],color[index]=integrateNullGeodesic(xpix, ypix, pixelheight,pixelwidth, skypixelheight,skypixelwidth,imagewidth,imageheight,Rs,Router,Rplane,eccentricity, semilatusr, epsilon, tiny, hinit,Rfac,heps)
        tendrk4=MPI.Wtime()
        trk4=min(trk4,(tendrk4-tstartrk4)/float(totnsteps[index]))
    totnstepsmax=max(totnsteps)
    tstoppp = MPI.Wtime()
    tpercpar=tstoppp-tstartpp

    comm.Barrier()
    if id==0:
        totnstepsmaxall=0
    else:
        totnstepsmaxall=None
    comm.Barrier()

    totnstepsmaxall=comm.reduce(totnstepsmax,op=MPI.MAX,root=0)
    tskymapall = comm.reduce(tskymap, op=MPI.MAX, root=0)
    tteleall = comm.reduce(ttele,op=MPI.MAX,root=0)
    comm.Gatherv(skystart,skystartall,root=0)
    comm.Gatherv(telestart, telestartall, root=0)
    comm.Gatherv(color,colorall, root=0)
    trk4min=comm.reduce(trk4,op=MPI.MIN,root=0)
    comm.Barrier()
    tend = MPI.Wtime()
    tall = tend-tstart
    if id==0:
        tindexstart = MPI.Wtime()
        for index in range(pixelheight*pixelwidth):

            if(colorall[index]==1):
                telepixels[telestartall[index]:telestartall[index]+3]=skypixels[skystartall[index]:skystartall[index]+3]
            else:
                telepixels[telestartall[index]]=255 #leave other two indices zero,red
        tindexend = MPI.Wtime()
        tindex = tindexend-tindexstart
    if id==0:
        twritestart = MPI.Wtime()
        ftele = open('teleview_{pw}_{ph}_{ws}.png'.format(pw=pixelwidth,ph=pixelheight,ws=wsize), "w")
        telewrite=Writer(width=pixelwidth,height=pixelheight,greyscale=False,alpha=False)
        telewrite.write_array(ftele,telepixels)
        ftele.close()
        twriteend=MPI.Wtime()
        twrite = twriteend-twritestart
    fsky.close()
    comm.Barrier()
    tmax = comm.reduce(tall,MPI.MAX,root=0)
    tpercparmin = comm.reduce(tpercpar/tall,op=MPI.MIN,root=0)
    comm.Barrier()
    if (id==0):
#        print("Telescope dimensions in M", 2.*imagewidth, 2.*imageheight)
#        print("Telescope resolution", pixelwidth, pixelheight)
#        print("Skymap resolution", skypixelwidth, skypixelheight)
#        print("Schwarzschild radius in M", 2.*Rs)
#        print("Outer radius in M", 2.*Router)
#        print("Telescope radius in M", 2.*Rplane)
#        print("Number of processes = ",wsize)
#        print("Maximum number of integration steps taken is",totnstepsmaxall)
#        print("The time for a single step of the RK4 is",trk4min)
#        print("Total runtime = ",tmax)
#        print("Fraction parallel = ", tpercparmin)
        print pixelwidth,pixelheight,wsize,totnstepsmaxall,trk4min,tmax,tpercparmin, tindex, twrite, tskymapall, tteleall

    MPI.Finalize()
def to_liq(image: png.Reader, attr: liq.Attr) -> liq.Image:
    """
    Convert png.Reader to liq.Image.
    """
    width, height, data, info = image.read_flat()
    return attr.create_rgba(data, width, height, info.get('gamma', 0))