def main(args):
    """
    main(args)

    Runs analyses with parser arguments.

    Required args:
        - args (dict): parser argument dictionary
    """

    # set logger to the specified level
    logger_util.set_level(level=args.log_level)

    # args.device = gen_util.get_device(args.cuda)
    args.fontdir = DEFAULT_FONTDIR if DEFAULT_FONTDIR.is_dir() else None

    if args.dict_path != "":
        plot_dicts.plot_from_dicts(Path(args.dict_path),
                                   source="glm",
                                   plt_bkend=args.plt_bkend,
                                   fontdir=args.fontdir,
                                   parallel=args.parallel,
                                   datetime=not (args.no_datetime),
                                   overwrite=args.overwrite)
    else:
        if args.datadir is None:
            args.datadir = DEFAULT_DATADIR
        else:
            args.datadir = Path(args.datadir)
        mouse_df = DEFAULT_MOUSE_DF_PATH

        args = reformat_args(args)

        # get numbers of sessions to analyse
        if args.sess_n == "all":
            all_sess_ns = sess_gen_util.get_sess_vals(mouse_df,
                                                      "sess_n",
                                                      runtype=args.runtype,
                                                      plane=args.plane,
                                                      line=args.line,
                                                      min_rois=args.min_rois,
                                                      pass_fail=args.pass_fail,
                                                      incl=args.incl,
                                                      omit_sess=args.omit_sess,
                                                      omit_mice=args.omit_mice)
        else:
            all_sess_ns = gen_util.list_if_not(args.sess_n)

        for sess_n in all_sess_ns:
            analys_pars = prep_analyses(sess_n, args, mouse_df)

            analyses_parallel = bool(args.parallel * (not args.debug))
            run_analyses(*analys_pars,
                         analyses=args.analyses,
                         parallel=analyses_parallel)
def main(args):
    """
    main(args)

    Runs analyses with parser arguments.

    Required args:
        - args (dict): parser argument dictionary
    """

    # set logger to the specified level
    logger_util.set_level(level=args.log_level)

    args.device = "cpu"

    if args.datadir is None: 
        args.datadir = DEFAULT_DATADIR
    else:
        args.datadir = Path(args.datadir)
    args.mouse_df = DEFAULT_MOUSE_DF_PATH
    args.runtype = "prod"
    args.plane = "soma"
    args.stimtype = "gabors"


    args.omit_sess, args.omit_mice = sess_gen_util.all_omit(
        args.stimtype, args.runtype
        )

    
    all_sessids = sess_gen_util.get_sess_vals(
        args.mouse_df, "sessid", runtype=args.runtype, sess_n=[1, 2, 3], 
        plane=args.plane, min_rois=1, pass_fail="P", omit_sess=args.omit_sess, 
        omit_mice=args.omit_mice)


    # bsizes =[1, 15, 30] #3
    # outchs = [18, 9, 3]
    # hiddims = [100, 35, 5]
    # numlays = [3, 2, 1]
    # lr_exs = [4, 3, 5]
    # convs = [True, False]
    # args.n_epochs = 0

    gen_util.parallel_wrap(
        run_sess_lstm, all_sessids, args_list=[args], parallel=args.parallel)
def main(args):
    """
    main(args)

    Runs analyses with parser arguments.

    Required args:
        - args (dict): parser argument dictionary
    """

    # set logger to the specified level
    logger_util.set_level(level=args.log_level)

    args.fontdir = DEFAULT_FONTDIR if DEFAULT_FONTDIR.is_dir() else None

    if args.dict_path is not None:
        source = "acr_sess"
        if args.modif:
            source = "modif"
        plot_dicts.plot_from_dicts(Path(args.dict_path),
                                   source=source,
                                   plt_bkend=args.plt_bkend,
                                   fontdir=args.fontdir,
                                   parallel=args.parallel,
                                   datetime=not (args.no_datetime),
                                   overwrite=args.overwrite)

    else:
        if args.datadir is None:
            args.datadir = DEFAULT_DATADIR
        else:
            args.datadir = Path(args.datadir)

        mouse_df = DEFAULT_MOUSE_DF_PATH

        args = reformat_args(args)

        analys_pars = prep_analyses(args.sess_n, args, mouse_df, args.parallel)

        args.parallel = bool(args.parallel * (not args.debug))
        run_analyses(*analys_pars,
                     analyses=args.analyses,
                     seed=args.seed,
                     parallel=args.parallel,
                     datatype=args.datatype)
def main(args):
    """
    main(args)

    Runs analyses with parser arguments.

    Required args:
        - args (dict): parser argument dictionary
    """

    # set logger to the specified level
    logger_util.set_level(level=args.log_level)

    plot_from_dicts(args.direc,
                    source=args.source,
                    plt_bkend=args.plt_bkend,
                    fontdir=args.fontdir,
                    plot_tc=not (args.not_plot_tc),
                    parallel=args.parallel,
                    datetime=not (args.no_datetime),
                    pattern=args.pattern,
                    depth=args.depth)
Exemple #5
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def main(args):
    """
    main(args)

    Runs analyses with parser arguments.

    Required args:
        - args (dict): parser argument dictionary
    """

    # set logger to the specified level
    logger_util.set_level(level=args.log_level)

    args.fontdir = DEFAULT_FONTDIR if DEFAULT_FONTDIR.is_dir() else None

    if args.dict_path is not None:
        source = "modif" if args.modif else "run"
        plot_dicts.plot_from_dicts(Path(args.dict_path),
                                   source=source,
                                   plt_bkend=args.plt_bkend,
                                   fontdir=args.fontdir,
                                   parallel=args.parallel,
                                   datetime=not (args.no_datetime),
                                   overwrite=args.overwrite)
    else:
        args = reformat_args(args)
        if args.datadir is None:
            args.datadir = DEFAULT_DATADIR
        else:
            args.datadir = Path(args.datadir)
        mouse_df = DEFAULT_MOUSE_DF_PATH

        # get numbers of sessions to analyse
        if args.sess_n == "all":
            all_sess_ns = sess_gen_util.get_sess_vals(mouse_df,
                                                      "sess_n",
                                                      runtype=args.runtype,
                                                      plane=args.plane,
                                                      line=args.line,
                                                      min_rois=args.min_rois,
                                                      pass_fail=args.pass_fail,
                                                      incl=args.incl,
                                                      omit_sess=args.omit_sess,
                                                      omit_mice=args.omit_mice,
                                                      sort=True)
        else:
            all_sess_ns = gen_util.list_if_not(args.sess_n)

        # get analysis parameters for each session number
        all_analys_pars = gen_util.parallel_wrap(prep_analyses,
                                                 all_sess_ns,
                                                 args_list=[args, mouse_df],
                                                 parallel=args.parallel)

        # split parallel from sequential analyses
        bool(args.parallel * (not args.debug))
        if args.parallel:
            run_seq = ""  # should be run parallel within analysis
            all_analyses = gen_util.remove_lett(args.analyses, run_seq)
            sess_parallels = [True, False]
            analyses_parallels = [False, True]
        else:
            all_analyses = [args.analyses]
            sess_parallels, analyses_parallels = [False], [False]

        for analyses, sess_parallel, analyses_parallel in zip(
                all_analyses, sess_parallels, analyses_parallels):
            if len(analyses) == 0:
                continue
            args_dict = {
                "analyses": analyses,
                "seed": args.seed,
                "parallel": analyses_parallel,
            }

            # run analyses for each parameter set
            gen_util.parallel_wrap(run_analyses,
                                   all_analys_pars,
                                   args_dict=args_dict,
                                   parallel=sess_parallel,
                                   mult_loop=True)
def main(args):
    """
    main(args)

    Runs analyses with parser arguments.

    Required args:
        - args (dict): parser argument dictionary
    """

    # set logger to the specified level
    logger_util.set_level(level=args.log_level)

    args.device = gen_util.get_device(args.cuda)

    args.fontdir = DEFAULT_FONTDIR if DEFAULT_FONTDIR.is_dir() else None

    if args.comp == "all":
        comps = logreg.get_comps(args.stimtype, args.q1v4, args.exp_v_unexp)
    else:
        check_args(args.comp, args.stimtype, args.q1v4, args.exp_v_unexp)
        comps = gen_util.list_if_not(args.comp)

    args.output = format_output(args.output, args.runtype, args.q1v4, args.bal,
                                args.exp_v_unexp)

    args_orig = copy.deepcopy(args)

    if args.dict_path is not None:
        plot_dicts.plot_from_dicts(Path(args.dict_path),
                                   source="logreg",
                                   plt_bkend=args.plt_bkend,
                                   fontdir=args.fontdir,
                                   parallel=args.parallel)

    else:
        for comp in comps:
            args = copy.deepcopy(args_orig)
            args.comp = comp
            args.not_ctrl = not (set_ctrl(not (args.not_ctrl), comp=args.comp))

            logger.info(
                f"Task: {args.task}\nStim: {args.stimtype} "
                f"\nComparison: {args.comp}\n",
                extra={"spacing": "\n"})

            if args.task == "run_regr":
                run_regr(args)

            # collates regression runs and analyses accuracy
            elif args.task == "analyse":
                logger.info(f"Folder: {args.output}")
                logreg.run_analysis(args.output, args.stimtype, args.comp,
                                    not (args.not_ctrl), args.CI, args.alg,
                                    args.parallel)

            elif args.task == "plot":
                logreg.run_plot(args.output, args.stimtype, args.comp,
                                not (args.not_ctrl), args.visflow_dir,
                                args.fluor, not (args.no_scale), args.CI,
                                args.alg, args.plt_bkend, args.fontdir,
                                args.modif)

            else:
                gen_util.accepted_values_error("args.task", args.task,
                                               ["run_regr", "analyse", "plot"])
Exemple #7
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def main(args):
    """
    main(args)

    Runs analyses with parser arguments.

    Required args:
        - args (dict): 
            parser argument dictionary
    """

    # set logger to the specified level
    logger_util.set_level(level=args.log_level)

    if args.datadir is None:
        args.datadir = DEFAULT_DATADIR
    else:
        args.datadir = Path(args.datadir)
    args.mouse_df_path = DEFAULT_MOUSE_DF_PATH

    # Directory with additional fonts
    args.fontdir = DEFAULT_FONTDIR if DEFAULT_FONTDIR.exists() else None

    # warn if parallel is not used
    if args.overwrite and not (args.plot_only):
        if not args.parallel:
            warnings.warn(
                "Unless memory demands are too high for the machine being "
                "used, it is strongly recommended that paper analyses be run "
                "with the '--parallel' argument (enables computations to be "
                "distributed across available CPU cores). Otherwise, analyses "
                "may be very slow.",
                category=UserWarning,
                stacklevel=1)
            time.sleep(paper_organization.WARNING_SLEEP)

    # run through figure(s) and panel(s)
    if args.figure == "all":
        figures = paper_organization.get_all_figures()
    else:
        figures = [args.figure]

    sessions = None
    panel = args.panel
    for args.figure in figures:
        if panel == "all":
            panels = paper_organization.get_all_panels(args.figure)
        else:
            panels = [panel]

        for p, args.panel in enumerate(panels):
            new_fig = (p == 0)
            try:
                with gen_util.TimeIt():
                    sessions = run_single_panel(args,
                                                sessions=sessions,
                                                new_fig=new_fig)
            except Exception as err:
                sep = DOUBLE_SEP if new_fig else SEP
                if "Cannot plot figure panel" in str(err):
                    lead = f"{sep}Fig. {args.figure}{args.panel.upper()}"
                    logger.info(f"{lead}. {err}")
                else:
                    raise err

            plot_util.cond_close_figs()