from PittAPI import course, laundry, lab, dining

### Courses
# Will return a list of dictionaries containing courses in subject
big_dict = course.get_courses(term="2177", code="CS")
# Will return a list of dictionaries containing courses that fulfill requirement
big_dict = course.get_course(term="2177", code="Q")
# Will return a dictionary with a details about the class
description = course.get_class(term="2177", class_number="10163")

### Laundry
# Will return a dictionary with amount of washers and dryers
# in use vs. total washers and dryers at building
small_dict = laundry.get_status_simple(building_name="TOWERS")

### Computer Lab
# Will return a dictionary with status of the lab, and amount
# of machines with a certain OS
small_dict = lab.get_status(lab_name="ALUMNI")

### Dining
# Will return a dictionary of dictionaries containing each dining location,
# with its name, its open/closed status, and open times (if it exists)
medium_dict = dining.get_locations()
medium_dict = dining.get_locations_by_status(status="open")
medium_dict = dining.get_locations_by_status(status="closed")
# Will return a single dictionary of a dining location,
# with its name, its open/closed status, and open times (if it exists)
one = dining.get_location_by_name(u"taco_bell-schenley_cafe")
two = dining.get_location_by_name(u"cup_&_chaucer-hillman")