def get_replay_kwargs(args):
if args.tick_range is not None:
if len(args.tick_range) != 2 or args.tick_range[0] > args.tick_range[1]:
raise ValueError('Inappropriate tick range')
fix = args.fix_points
if fix is not None:
use_background = True
if len(fix) == 2 and np.abs(fix[1]) == 1:
fix_point, secondary_fix_point = fix[0], fix[0] + fix[1]
elif len(fix) == 1:
fix_point, secondary_fix_point = fix[0], None
else:
raise ValueError('Inappropriate fix points')
else:
fix_point, secondary_fix_point = None, None
use_background = False
if args.dynamic_color is None:
dynamic_color = None
elif args.dynamic_color == 'lin':
dynamic_color = 'lin_color'
elif args.dynamic_color == 'ang':
dynamic_color = 'ang_color'
dims = args.arena_dims
if dims is not None:
if len(dims) == 2:
arena_pars = env.arena(dims[0], dims[1])
elif len(dims) == 1:
arena_pars = env.dish(dims[0])
else:
raise ValueError('Inappropriate arena dimensions')
else:
arena_pars = None
replay_kwargs = {'agent_ids': args.agent_ids,
'align_mode': args.align_mode,
'fix_point': fix_point,
'secondary_fix_point': secondary_fix_point,
'draw_Nsegs': args.draw_Nsegs,
'use_background': use_background,
'time_range_in_ticks': args.tick_range,
'dynamic_color': dynamic_color,
'arena_pars': arena_pars,
'draw_contour': args.draw_contour,
'draw_midline': args.draw_midline,
'draw_centroid': args.draw_centroid,
}
return replay_kwargs
def setDataGroup(id=None):
if id is None:
id = get_input("Enter DataGroup id", itype=str)
print(f' ----- Registration of new DataGroup : {id} ----- ')
print(f' -- Step 1 : DataGroup Configuration')
if get_input("Use an existing configuration? ", itype=bool, default=False):
conf_id = get_input("Enter the id of the DataGroup Configuration to use", itype=str,
accepted=list(loadConfDict().keys()))
else:
conf_id = get_input("Enter the id of the new DataGroup Configuration", itype=str, default=f'{id}Conf')
conf = setConf(conf_id)
print(f' -- Step 2 : DataGroup Path')
path = get_input("Enter DataGroup relative path", itype=str, default=id)
print(f' -- Step 3 : DataGroup Arena')
shape = get_input("Enter arena shape", itype=str, accepted=['circular', 'rectangular'], default='circular')
if shape == 'circular':
r = get_input("Enter arena radius in m", itype=float, range=[0, +np.inf], default=0.15)
arena_pars = env.dish(r)
elif shape == 'rectangular':
x = get_input("Enter arena x dimension in m", itype=float, range=[0, +np.inf], default=0.15)
y = get_input("Enter arena y dimension in m", itype=float, range=[0, +np.inf], default=0.15)
arena_pars = env.arena(x, y)
print(f' -- Step 4 : DataGroup Subgroups')
Nsubgroups = get_input("How many subgroups are there?", itype=int, default=0)
subgroups = []
for i in range(Nsubgroups):
subgroups.append(get_input(f"Set id of subgroup {i} of {Nsubgroups}", itype=str, default=f'subgroup_{i}'))
DataGroup = {
'id': id,
'conf': conf_id,
'path': path,
'arena_pars': arena_pars,
'subgroups': subgroups
}
print(f' -- Step 5 : DataGroup additional parameters')
while get_input("Add additional parameter?", itype=bool, default=False):
key = get_input("Enter additional parameter name", itype=str)
itype = get_input(f"Enter data type for {key}", itype=type)
value = get_input(f"Enter value for {key}", itype=itype)
DataGroup[key] = value
saveDataGroup(DataGroup)
return DataGroup
'par': 'JovanicParConf',
'build': {
'read_sequence': None,
'read_metadata': False
},
'enrich': JovanicEnrichConf
}
JovanicGroup = {
'id': 'JovanicGroup',
'conf': 'JovanicConf',
'path': 'JovanicGroup',
'genotypes': ['AttP2@UAS_TNT', 'AttP240@UAS_TNT'],
'subgroups': ['AttP2@UAS_TNT', 'AttP240@UAS_TNT', 'FoodPatches'],
'conditions': ['Fed', 'ProteinDeprived', 'Starved'],
'arena_pars': env.arena(0.193, 0.193)
}
TestGroup = {
'id': 'TestGroup',
'conf': 'SchleyerConf',
'path': 'TestGroup',
'subgroups': [],
'arena_pars': env.dish(0.15)
}
SimGroup = {
'id': 'SimGroup',
'conf': 'SimConf',
'path': 'SimGroup',
'subgroups': ['single_runs', 'batch_runs'],