class Config:

	course_name = 'cs535'
	
	"""
	Exam data: a dictonary keyed by exam names.
	The values are also dictionaries.
	They can be three kinds: list, target or source (possibly both target and source).
	These kinds are implicit, are shown only in the comments.
	
	A target has a property 'sources', itself a dictionary
	Source properties:
	'max': the maximum score,
	'weight': if it is missing it is 1.
	'cuts': whether the exam has letter grades.
	'denom': denominator if different from the cut of the B grade.

	homework_data will be merged into exam_data since homeworks are also exams.
	"""

	default_list = 'rst'

	homework_data = {
		'01': {'max': 40},
		'02': {'max': 50},
		'04': {'max': 50},
		'05': {'max': 55},
		'06': {'max': 45},
		'07': {'max': 55},
		'09': {'max': 55},
		'10': {'max': 55},
		'11': {'max': 50}
		}

	course_nonphd_sources = {
		'homework': {'weight': 25},
		'midterm-1': {'weight': 20},
		'midterm-2': {'weight': 20},
		'final': {'weight': 25},
		'class-partic': {'weight': 10}
		}
		
	course_phd_sources = {
		'homework': {'weight': 25},
		'midterm-1': {'weight': 10},
		'midterm-2': {'weight': 10},
		'final': {'weight': 25},
		'phd-extras': {'weight': 20},
		'class-partic': {'weight': 10}
		}
		
	phd_extras_sources = {'grading': {'max': 10}, 'reports': {'max': 10}}

	exam_data = {
		# lists:
		'rst': {},
		'rst-phd': {'list': 'rst-phd'},
		'rst-nonphd': {'list': 'rst-nonphd'},
		
		'homework': {'cuts': True, 'sources': homework_data},
		'midterm-1': {'cuts': True, 'max': 60},
		'midterm-2': {'cuts': True, 'max': 50},
		'final': {'cuts': True, 'max': 55},
		'class-partic': {'max': 10, 'cuts':True},

		'grading': {'list': 'rst-phd', 'max': 10, 'cuts': True, 'denom': 1},
		'reports': {'list': 'rst-phd', 'max': 10, 'cuts': True, 'denom': 1},
		'phd-extras': {'list': 'rst-phd', 'cuts': True, 'sources': phd_extras_sources},

		'course-phd': {'list': 'rst-phd', 'cuts': True, 'sources': course_phd_sources},
		'course-nonphd': {'list': 'rst-nonphd', 'cuts': True, 'sources': course_nonphd_sources}
		}

	exam_data.update(homework_data)