def recommended_non_linear_math(NAVSTACK, STATE):
try:
feed_items, STATE = arxiv_api.get_feed(topic='nlin', STATE=STATE)
print('-' * 80)
print('generating recommendations. standby...')
feed_items, STATE = main_ml.predict(feed_items, STATE=STATE)
except:
navigable_menus.error(
'request timed out or prediction algorithms have failed. standby...'
)
articles = navigable_menus.make_articles(feed_items, sys.modules[__name__])
articles = navigable_menus.paginate(articles,
page_length=10,
menu_options=[
('main_menu', 'back'),
('main_menu', 'back_to_main'),
('CONTROL', 'previous_page'),
('CONTROL', 'next_page')
])
action, STATE = navigable_menus.create(
articles,
header='main >> arxiv >> recommended >> non-linear math',
STATE=STATE)
return action, NAVSTACK, STATE
def new_cs(NAVSTACK, STATE):
try:
feed_items, STATE = arxiv_api.get_feed(topic='cs', STATE=STATE)
except:
navigable_menus.error('request timed out. standby...')
return ('main_menu', 'do_nothing'), NAVSTACK, STATE
articles = navigable_menus.make_articles(feed_items, sys.modules[__name__])
articles = navigable_menus.paginate(articles,
page_length=10,
menu_options=[
('main_menu', 'back'),
('main_menu', 'back_to_main'),
('CONTROL', 'previous_page'),
('CONTROL', 'next_page')
])
action, STATE = navigable_menus.create(
articles, header='main >> arxiv >> new articles >> cs', STATE=STATE)
return action, NAVSTACK, STATE
def search(NAVSTACK, STATE):
navigable_menus.make_header('main >> search')
search_results, STATE = arxiv_api.search(STATE)
if search_results == []:
navigable_menus.error('no results found or query empty')
return ('main_menu', 'back'), NAVSTACK, STATE
articles = navigable_menus.make_articles(search_results,
sys.modules[__name__])
articles = navigable_menus.paginate(articles,
page_length=10,
menu_options=[
('main_menu', 'back'),
('main_menu', 'back_to_main'),
('CONTROL', 'previous_page'),
('CONTROL', 'next_page')
])
action, STATE = navigable_menus.create(articles,
header='main >> search',
STATE=STATE)
return action, NAVSTACK, STATE