def FindMovies(update, context):
status_message = context.bot.sendMessage(
chat_id=update.message.chat_id,
text='Searching for similar movies ...')
movie_label = update.message.text.split()[-1]
try:
movie = Movie(movie_label)
movie.make()
except FindMovieError as error:
if error.code == 404:
context.bot.sendMessage(
chat_id=update.message.chat_id,
text='Movie not found 🤷♂️\nAnother movie ? 🙄',
reply_markup=reply_markup,
parse_mode=telegram.ParseMode.HTML)
else:
context.bot.sendMessage(chat_id=update.message.chat_id,
text='500 Internal Serevr Error !')
return
context.bot.sendPhoto(chat_id=update.message.chat_id,
photo=movie.thumb,
caption=make_movie_details_message(movie),
parse_mode=telegram.ParseMode.HTML)
second_reply_markup = InlineKeyboardMarkup([[
InlineKeyboardButton("Search Another Movie 🔎",
switch_inline_query_current_chat='')
]])
context.bot.sendMessage(chat_id=update.message.chat_id,
text=make_similar_movies_message(movie),
reply_markup=second_reply_markup,
parse_mode=telegram.ParseMode.HTML,
disable_web_page_preview=True)
status_message.delete()
make_movie = not os.path.exists(avifn)
if make_movie:
mov = Movie(avifn)
fig = plt.figure()
for k in range(N_frames):
plt.cla()
plt.imshow(astack[k,:,:],interpolation='none',aspect='auto')
plt.clim((smin,smax))
if k==0:
plt.colorbar()
mov.add(fig)
plt.pause(.1)
mov.make()
sz,sy,sx = stack.shape
intervals = range(1,80)
variances = []
control_variances = []
mads = []
control_mads = []
def cvar(mat,axis=0):
a = np.angle(mat)
X = np.cos(a)
make_movie = not os.path.exists(avifn)
if make_movie:
mov = Movie(avifn)
fig = plt.figure()
for k in range(N_frames):
plt.cla()
plt.imshow(astack[k, :, :], interpolation='none', aspect='auto')
plt.clim((smin, smax))
if k == 0:
plt.colorbar()
mov.add(fig)
plt.pause(.1)
mov.make()
sz, sy, sx = stack.shape
intervals = range(1, 80)
variances = []
control_variances = []
mads = []
control_mads = []
def cvar(mat, axis=0):
a = np.angle(mat)
X = np.cos(a)
Y = np.sin(a)
ax4.plot(t,compv_list,'b')
ax4.set_xlim((t1,t2))
ax4.set_yticks(ax4.get_yticks()[:-2])
ax4.set_ylabel('complex variance')
for ax in ax_list[1:]:
ax.axvline(now,c=[.5,.5,.5])
fixticks(ax)
m.add(fig)
plt.close()
print now
m.make()
sys.exit()
p1 = Phasor(1.0,np.pi/4.0)
p2 = Phasor(1.0,np.pi/3.0)
ax = plt.axes()
ax.set_xlim((-1,1))
ax.set_ylim((-1,1))
p1.plot_context(ax)
p1.plot(ax)
p2.plot(ax)
plt.show()
sys.exit()
for k in range(N_scatterers):
ax4.plot(t, compv_list, 'b')
ax4.set_xlim((t1, t2))
ax4.set_yticks(ax4.get_yticks()[:-2])
ax4.set_ylabel('complex variance')
for ax in ax_list[1:]:
ax.axvline(now, c=[.5, .5, .5])
fixticks(ax)
m.add(fig)
plt.close()
print now
m.make()
sys.exit()
p1 = Phasor(1.0, np.pi / 4.0)
p2 = Phasor(1.0, np.pi / 3.0)
ax = plt.axes()
ax.set_xlim((-1, 1))
ax.set_ylim((-1, 1))
p1.plot_context(ax)
p1.plot(ax)
p2.plot(ax)
plt.show()
sys.exit()
for k in range(N_scatterers):
#x0 = np.random.rand()*xmax
