def search():
string =''
keyboard = xbmc.Keyboard(string, '[COLOR yellow][B]What Are We Searching For?[/B][/COLOR]')
keyboard.doModal()
if keyboard.isConfirmed():
string = keyboard.getText()
string = string.replace(' ','+')
if len(string)>1:
term = string.lower()
url = ('http://www.seehd.pl/?s=%s' %term)
viewer.MainWindow(url)
else:
dialog.notification(AddonTitle, "[COLOR red][B]Sorry, No Search Term Was Entered![/B][/COLOR]", icon, 5000)
quit()
def openviewerMovies(self):
viewer.MainWindow('http://www.seehd.pl/category/movies/')
def openviewerTvShows(self):
viewer.MainWindow('http://www.seehd.pl/category/tv-shows/')
def view_experiment(
filename, sample_x_length=4.0, sample_y_length=0.5, sample_z_length=8.0
):
"""
Read a cbf image and display a 3D model of the experiment.
This function is intended to be used by the block of code at the
end of the module. This will start the program with a dialog box
allowing the user to select a file.
Arguments:
filename -- the name of the cbf image to be read. Must include the
.cbf extension.
sample_x,y,z_length -- the dimensions of the sample in mm.
The model can be rotated by clicking and dragging the mouse, and
zoomed with the mousewheel. The model is displayed in a wxPython
based OpenGLCanvas.
Note that the default sample dimensions are much larger than the
true dimensions; however for the purposes of the program it is best
to have a crystal large enough to be visible.
"""
myimage = analyser.Image(filename)
viewer.B = myimage.find_beam_direction()
(
viewer.detector_origin,
viewer.fast_axis,
viewer.slow_axis,
viewer.dimensions,
viewer.pix,
viewer.d,
res,
) = myimage.detector_parameters()
((i, j, k), (alpha, beta, gamma), viewer.R) = myimage.get_sample_orientation()
viewer.sample_angles = (alpha, beta, gamma)
viewer.img_array = myimage.image_to_array()
mysample = modeller.Sample(sample_x_length, sample_y_length, sample_z_length)
viewer.r_f = mysample.rotate(i, j, k)
for i in range(viewer.num_panels):
det.append(modeller.Panel(viewer.dimensions[i, 0], viewer.dimensions[i, 1]))
viewer.d_r_f[i] = det[i].get_coords(
viewer.detector_origin[i], viewer.fast_axis[i], viewer.slow_axis[i]
)
myshadow = shadowmapper.Shadow(
shadowmapper.day2_coords,
filename,
viewer.DET_ANGLE,
viewer.d,
viewer.detector_origin,
viewer.fast_axis,
viewer.slow_axis,
)
viewer.filename, viewer.shadowsetting, viewer.blanksetting = (
filename,
False,
False,
)
(viewer.kappa, viewer.omega, viewer.offset_matrix, viewer.sample_x) = (
-180.0,
90.0,
np.zeros(3),
0.0,
)
(
viewer.tex_data,
viewer.tex,
viewer.tex2,
viewer.tex_shadow,
viewer.tex_noshad,
viewer.noshad_data,
) = myshadow.shadow_texture()
viewer.app = wx.App()
viewer.frame = viewer.MainWindow()
viewer.app.MainLoop()