larvaworld.lib.reg.stored_confs.essay_conf
Classes
Functions
Module Contents
- class larvaworld.lib.reg.stored_confs.essay_conf.Essay(type: str, essay_id: str | None = None, N: int = 5, enrichment=None, collections: list[str] = ['pose', 'brain'], screen_kws: dict[str, Any] = {}, show: bool = False, **kwargs: Any)
- screen_kws
- N = 5
- show = False
- type
- enrichment = None
- collections = ['pose', 'brain']
- essay_id = None
- path = 'Uninferable/data/SimGroup/essays/Uninferable/None'
- data_dir = 'Uninferable/data/SimGroup/essays/Uninferable/None/data'
- plot_dir = 'Uninferable/data/SimGroup/essays/Uninferable/None/plots'
- exp_dict
- datasets
- figs
- results
- conf(exp: str, id: str, dur: float, lgs: Any, env: Any, **kwargs: Any)
- run()
- anal()
- analyze(exp, ds0)
- global_anal()
- class larvaworld.lib.reg.stored_confs.essay_conf.RvsS_Essay(all_figs=False, N=1, **kwargs)
Bases:
Essay- all_figs = False
- qs = [1.0, 0.75, 0.5, 0.25, 0.15]
- hs = [0, 1, 2, 3, 4]
- durs = [10, 15, 20]
- dur = 5
- h_refeeding = 3
- dur_refeeding = 120
- dur_pathlength = 20
- substrates = ['Agar', 'Yeast']
- exp_dict
- RvsS_env(on_food=True)
- GTRvsS(**kwargs)
- pathlength_exp()
- intake_exp()
- starvation_exp()
- quality_exp()
- refeeding_exp()
- get_entrylist(datasets, substrates, durs, qs, hs, G)
- global_anal()
- analyze(exp, ds0)
- class larvaworld.lib.reg.stored_confs.essay_conf.DoublePatch_Essay(substrates=['sucrose', 'standard', 'cornmeal'], N=10, dur=5.0, olfactor=True, feeder=True, arena_dims=(0.24, 0.24), patch_x=0.06, patch_radius=0.025, **kwargs)
Bases:
Essay- arena_dims = (0.24, 0.24)
- patch_x = 0.06
- patch_radius = 0.025
- substrates = ['sucrose', 'standard', 'cornmeal']
- dur = 5.0
- mID0s = ['rover', 'sitter']
- mIDs
- ms
- exp_dict
- get_larvagroups(age=120.0)
- get_sources(type='standard', q=1.0, Cpeak=2.0, Cscale=0.0002)
- patch_env(type='standard', q=1.0, o='G')
- time_ratio_exp()
- global_anal()
- analyze(exp, ds0)
- class larvaworld.lib.reg.stored_confs.essay_conf.Chemotaxis_Essay(dur=5.0, gain=300.0, mode=1, **kwargs)
Bases:
Essay- time_ks = ['c_odor1', 'dc_odor1']
- dur = 5.0
- gain = 300.0
- exp_dict
- get_models1(gain)
- get_models2(gain)
- get_models3(gain)
- get_models4(gain)
- chemo_exps(models)
- analyze(exp, ds0)
- global_anal()
- larvaworld.lib.reg.stored_confs.essay_conf.Essay_dict()