def parse_actions(actions_filename):
"Output dict mapping actionname to Stuct(use_upperedge, movements)."
f = TabFile(actions_filename)
f.head()
# Action_info_count included "action", "reverse_leftright", "slide_count", "use_upper_edge" #
action_info_count = 4
for line in f.parse():
info = list(f.parse_line(line))
# 0 > name #
actionname = info[0]
# 1-3 > important info #
reverse_lr, slide_count, use_ue = map(int, info[1:action_info_count])
if not reverse_lr: transformation = lambda x: (x[0]-10, x[1]+10)
elif reverse_lr == 1: transformation = reversed
else: transformation = False
# 4: > bodyparts and angle ranges #
bodypart_angle_dict = {}
for bodypart, raw_angles in parallel(f.header[action_info_count:], info[action_info_count:]):
if raw_angles:
angle_range = map(int, parse_definition(raw_angles))
bodypart_angle_dict[bodypart] = tuple(spread(angle_range, slide_count))
if transformation and bodypart[-2:] == '_r':
left_bodypart = bodypart[:-2]+'_l'
bodypart_angle_dict[left_bodypart] = tuple(spread(transformation(angle_range), slide_count))
else: continue
else: break
yield Struct(action=actionname, use_upperedge=use_ue, movements=bodypart_angle_dict)
def __init__(self, filename):
TabFile.__init__(self, filename)
self.entries = {}
self.altered = False
if path.exists(self.filename):
self.head()
self.retrieve()
else:
self.header = []
def __init__(self, filename):
TabFile.__init__(self, filename)
# Search data structure, value 1 represents str.upper() search #
self.items = ('name2entry', 'initial2name', 'chem2name')
for item in self.items: setattr(self, item, {})
# Not for use by user. This is for putting chem2name info into name2entry #
self.name2chem = {}
# For parsing outcome and relationship #
self.i_outcome = self.header.index('outcome')
self.i_relationship = self.header.index('relationship')
self.database_fxn = None
self.database = None
self.setup()
self.change_database()