示例#1
0
def differential_mut(name, 
                     gen_name = None, 
                     geo_name = 'star',
                     mut = mu0,
                     delta = deltamu, 
                     dim = 20,
                     **kwargs):
    #CONFIG PARAMETERS
    mut_rate_source = 2
    params_dict = {'MUT_RATE_SOURCE':mut_rate_source,
                   'DIVIDE_INS_PROB':0.0,
                   'DIVIDE_DEL_PROB':0.0,
                   'COPY_MUT_PROB':0.00}

    #deal with filenames in KWARGS
    env = kwargs
    configure_paths(params_dict, env)
    globals().update(env)

    #make GEOMETRY
    geometry = make_geometry(params_dict,
                             name = geo_name, 
                             dim = dim)
    ntot =geometry['n']
    nofs = ntot/2
    globals().update(geometry)

    #STERILIZE 
    ca.alter_eve(eve_fname, 'i KillRectangle 0 0 '+str(x)\
                     + ' ' + str(y))    
    #BUILD LINEAGES AND INJECT
    linfun = diffmut_lin;
    linints= [0,nofs,ntot-1]
    make_lineage_squares(linints, linfun, mut, delta)
    
    #get a default set of resources, tasks, rxns and corresponding  params
    make_resources_and_tasks(params_dict,
                             n = ntot)


    #EXIT
    ca.alter_eve(eve_fname, 'g ' + str(default_gens) + ' Exit')

    #NOW THAT ALL OF THE PARAMETERS HAVE BEEN SET
    #MAKE THE GENESIS FILES AND GENOMES
    genesis = ca.make_gen(name,\
                          params_dict,
                          gen_name)
    make_genomes(genesis)
    out = {'geometry': geometry}
    return out
示例#2
0
def differential_mut(name,
                     gen_name=None,
                     geo_name='star',
                     mut=mu0,
                     delta=deltamu,
                     dim=20,
                     **kwargs):
    #CONFIG PARAMETERS
    mut_rate_source = 2
    params_dict = {
        'MUT_RATE_SOURCE': mut_rate_source,
        'DIVIDE_INS_PROB': 0.0,
        'DIVIDE_DEL_PROB': 0.0,
        'COPY_MUT_PROB': 0.00
    }

    #deal with filenames in KWARGS
    env = kwargs
    configure_paths(params_dict, env)
    globals().update(env)

    #make GEOMETRY
    geometry = make_geometry(params_dict, name=geo_name, dim=dim)
    ntot = geometry['n']
    nofs = ntot / 2
    globals().update(geometry)

    #STERILIZE
    ca.alter_eve(eve_fname, 'i KillRectangle 0 0 '+str(x)\
                     + ' ' + str(y))
    #BUILD LINEAGES AND INJECT
    linfun = diffmut_lin
    linints = [0, nofs, ntot - 1]
    make_lineage_squares(linints, linfun, mut, delta)

    #get a default set of resources, tasks, rxns and corresponding  params
    make_resources_and_tasks(params_dict, n=ntot)

    #EXIT
    ca.alter_eve(eve_fname, 'g ' + str(default_gens) + ' Exit')

    #NOW THAT ALL OF THE PARAMETERS HAVE BEEN SET
    #MAKE THE GENESIS FILES AND GENOMES
    genesis = ca.make_gen(name,\
                          params_dict,
                          gen_name)
    make_genomes(genesis)
    out = {'geometry': geometry}
    return out
示例#3
0
def differential_mut(name, eve_fname, org_fname, ana_fname, env_fname,  ins_fname, gen_name):
    #CONFIG PARAMETERS
    mut_rate_source = 2
    x = default_x
    y = default_y
    params_dict = {'MUT_RATE_SOURCE':2,
                   'WORLD_X':x,
                   'WORLD_Y':y,
                   'WORLD_GEOMETRY':2,
                   'ENVIRONMENT_FILE':env_fname,
                   'ANALYZE_FILE':ana_fname,
                   'EVENT_FILE':eve_fname,
                   'INST_SET':ins_fname,
                   'START_CREATURE':org_fname,
                   'DIVIDE_INS_PROB':0.0,
                   'DIVIDE_DEL_PROB':0.0,
                   'COPY_MUT_PROB':0.00}

    genesis = ca.make_gen(name,\
                          params_dict,\
                          gen_name)
    #Create a genome and a complementing genome
    genome = au.genesis_seqs(genesis)
    seqprime = genome
    repeats = re.search(re.compile('c{3,}'),seqprime).group()
    seqprime =seqprime.replace(repeats,repeats.replace('c','b'))
    org_fname2 = au.save_genome(genesis,  seqprime, org_fname + '.comp')
    n = x * y
    ntot = x*y
    nofs = ntot/2
    #STERILIZE 
    ca.alter_eve(eve_fname, 'i KillRectangle 0 0 '+str(x) + ' ' + str(y))    
    #SET MUTATION PROBS

    highmut_strings = ['i SetMutProb COPY_MUT '+str((mu0 - deltamu)*kmut) + ' 1 '+str(nofs),
                       'i SetMutProb DIVIDE_INS '+str((mu0 - deltamu)*kdiv) + ' 1 '+str(nofs),
                       'i SetMutProb DIVIDE_DEL '+str((mu0 - deltamu)*kdiv) + ' 1 '+str(nofs)]

    lowmut_strings =  ['i SetMutProb COPY_MUT '+str((mu0 + deltamu)*kmut) + ' ' + str(nofs+1) + ' ' +str(ntot),
                       'i SetMutProb DIVIDE_INS '+str((mu0 + deltamu)*kdiv) + ' ' + str(nofs+1) + ' ' +str(ntot),
                       'i SetMutProb DIVIDE_DEL '+str((mu0 + deltamu)*kdiv) + ' ' + str(nofs+1) + ' ' +str(ntot)]

    for s in highmut_strings:
        ca.alter_eve(eve_fname, s)

    for s in lowmut_strings:
        ca.alter_eve(eve_fname, s)

    #INJECT
    ca.alter_eve(eve_fname,   
                 'i InjectRange '+org_fname+' 1 '+str(nofs)+' -1 0')
    ca.alter_eve(eve_fname,   
                 'i InjectRange '+org_fname+' '+str(nofs+1)+ ' ' +str(ntot) +' -1 1')

    #get a default set of resources, tasks, rxns and corresponding  params

    task_names, res_names, resource_ropts = get_resources()
    task_names_b, res_names_b, resource_ropts_b = get_resources(distribution = 'gravity',
                                                                ygrav = default_ygrav,
                                                                outflow = biproduct_outflow,
                                                                inflow = 0, 
                                                                kind = 'byproduct')


    if enable_biproducts:
        if biproduct_last: biproducts=  shift(res_names_b, -1)
        else: biproducts = res_names_b
    else:
        biproducts = None
    rxn_names, rxn_popts, rxn_ropts = get_reactions(res_names,
                                            
        conversion = conversion,
                                                    product_names = biproducts)

    if death_chain_reaction: b_prods = res_names_b
    else:b_prods = res_names

                                   
 
    rslines = au.resource_lines(res_names, resource_ropts)
    rxlines = au.reaction_lines(rxn_names, task_names,rxn_popts,rxn_ropts)


    ca.append_lines(env_fname, rslines)
    
    

    if enable_biproducts:
        rxn_names_b, rxn_popts_b, rxn_ropts_b = get_reactions(res_names_b, 
                                                              lethal = lethal_biproduct,
                                                              min_count = lethal_dose,
                                                              product_names = b_prods,
                                                              conversion = death_chain_mag,
                                                              bonus_type = 'mult',
                                                              values = [0 for i in res_names])
        rslines_b = au.resource_lines(res_names_b, resource_ropts_b)
        rxlines_b = au.reaction_lines(rxn_names_b, task_names_b,rxn_popts_b,rxn_ropts_b)
        ca.append_lines(env_fname, rslines_b)
        ca.append_lines(env_fname, rxlines_b)
    
    ca.append_lines(env_fname, rxlines)

    #EXIT
    ca.alter_eve(eve_fname, 'g ' + str(default_gens) + ' Exit')
示例#4
0
def untouched(name,  eve_fname, org_fname, ana_fname,   env_fname, ins_fname,  gen_name):

    genesis = ca.make_gen(name,
                          {},
                          gen_name)
示例#5
0
def untouched(name, eve_fname, org_fname, ana_fname, env_fname, ins_fname,
              gen_name):
    genesis = ca.make_gen(name, {}, gen_name)