def run_bucky(self, ipyclient, force=False, quiet=False, subname=False):
        """
        Runs bucky for a given set of parameters and stores the result 
        to the ipa.bucky object. The results will be stored by default
        with the name '{name}-{alpha}' unless a argument is passed for
        'subname' to customize the output name. 

        Parameters:
        -----------
        subname (str):
            A custom name prefix for the output files produced by the bucky
            analysis and output into the {workdir}/{name} directory.
        force (bool):
            If True then existing result files with the same name prefix
            will be overwritten. 
        quiet (bool):
            If True the progress bars will be suppressed. 
        ipyclient (ipyparallel.Client)
            An active ipyparallel client to distribute jobs to.

        """

        ## check for existing results files
        minidir = os.path.realpath(os.path.join(self.workdir, self.name))
        infiles = glob.glob(os.path.join(minidir, "*.sumt"))
        outroot = os.path.realpath(os.path.join(self.workdir, self.name))

        ## build alpha list
        if isinstance(self.params.bucky_alpha, list):
            alphas = self.params.bucky_alpha
        else:
            alphas = [self.params.bucky_alpha]

        ## load balancer
        lbview = ipyclient.load_balanced_view()

        ## submit each to be processed
        asyncs = []
        for alpha in alphas:
            pathname = os.path.join(outroot, "CF-a"+str(alpha))
            if (os.path.exists(pathname)) and (force!=True):
                print("BUCKy results already exist for this object at alpha={}\n".format(alpha) +\
                      "use force=True to overwrite existing results")
            else:
                args = [
                    alpha, 
                    self.params.bucky_nchains, 
                    self.params.bucky_nreps, 
                    self.params.bucky_niter, 
                    pathname,
                    infiles]
                async = lbview.apply(_call_bucky, *args)
                asyncs.append(async)

        ## track progress
        start = time.time()
        printstr = "[bucky] infer CF posteriors     | {} | "
        while 1:
            ready = [i.ready() for i in asyncs]
            elapsed = datetime.timedelta(seconds=int(time.time()-start))
            if not quiet:            
                progressbar(len(ready), sum(ready), printstr.format(elapsed), spacer="")
            if len(ready) == sum(ready):
                if not quiet:
                    print("")
                break
            else:
                time.sleep(0.1)

        ## check success
        for async in asyncs:
            if not async.successful():
                raise IPyradWarningExit(async.result())
def run_bucky(self, ipyclient, force=False, quiet=False, subname=False):
        """
        Runs bucky for a given set of parameters and stores the result 
        to the ipa.bucky object. The results will be stored by default
        with the name '{name}-{alpha}' unless a argument is passed for
        'subname' to customize the output name. 

        Parameters:
        -----------
        subname (str):
            A custom name prefix for the output files produced by the bucky
            analysis and output into the {workdir}/{name} directory.
        force (bool):
            If True then existing result files with the same name prefix
            will be overwritten. 
        quiet (bool):
            If True the progress bars will be suppressed. 
        ipyclient (ipyparallel.Client)
            An active ipyparallel client to distribute jobs to.

        """

        ## check for existing results files
        minidir = os.path.realpath(os.path.join(self.workdir, self.name))
        infiles = glob.glob(os.path.join(minidir, "*.sumt"))
        outroot = os.path.realpath(os.path.join(self.workdir, self.name))

        ## build alpha list
        if isinstance(self.params.bucky_alpha, list):
            alphas = self.params.bucky_alpha
        else:
            alphas = [self.params.bucky_alpha]

        ## load balancer
        lbview = ipyclient.load_balanced_view()

        ## submit each to be processed
        asyncs = []
        for alpha in alphas:
            pathname = os.path.join(outroot, "CF-a"+str(alpha))
            if (os.path.exists(pathname)) and (force!=True):
                print("BUCKy results already exist for this object at alpha={}\n".format(alpha) +\
                      "use force=True to overwrite existing results")
            else:
                args = [
                    alpha, 
                    self.params.bucky_nchains, 
                    self.params.bucky_nreps, 
                    self.params.bucky_niter, 
                    pathname,
                    infiles]
                async = lbview.apply(_call_bucky, *args)
                asyncs.append(async)

        ## track progress
        start = time.time()
        printstr = "[bucky] infer CF posteriors     | {} | "
        while 1:
            ready = [i.ready() for i in asyncs]
            elapsed = datetime.timedelta(seconds=int(time.time()-start))
            if not quiet:            
                progressbar(len(ready), sum(ready), printstr.format(elapsed), spacer="")
            if len(ready) == sum(ready):
                if not quiet:
                    print("")
                break
            else:
                time.sleep(0.1)

        ## check success
        for async in asyncs:
            if not async.successful():
                raise IPyradWarningExit(async.result())
def run_bucky ( self , ipyclient , force = False , quiet = False , subname = False ) : ## check for existing results files minidir = os . path . realpath ( os . path . join ( self . workdir , self . name ) ) infiles = glob . glob ( os . path . join ( minidir , "*.sumt" ) ) outroot = os . path . realpath ( os . path . join ( self . workdir , self . name ) ) ## build alpha list if isinstance ( self . params . bucky_alpha , list ) : alphas = self . params . bucky_alpha else : alphas = [ self . params . bucky_alpha ] ## load balancer lbview = ipyclient . load_balanced_view ( ) ## submit each to be processed asyncs = [ ] for alpha in alphas : pathname = os . path . join ( outroot , "CF-a" + str ( alpha ) ) if ( os . path . exists ( pathname ) ) and ( force != True ) : print ( "BUCKy results already exist for this object at alpha={}\n" . format ( alpha ) + "use force=True to overwrite existing results" ) else : args = [ alpha , self . params . bucky_nchains , self . params . bucky_nreps , self . params . bucky_niter , pathname , infiles ] async = lbview . apply ( _call_bucky , * args ) asyncs . append ( async ) ## track progress start = time . time ( ) printstr = "[bucky] infer CF posteriors     | {} | " while 1 : ready = [ i . ready ( ) for i in asyncs ] elapsed = datetime . timedelta ( seconds = int ( time . time ( ) - start ) ) if not quiet : progressbar ( len ( ready ) , sum ( ready ) , printstr . format ( elapsed ) , spacer = "" ) if len ( ready ) == sum ( ready ) : if not quiet : print ( "" ) break else : time . sleep ( 0.1 ) ## check success for async in asyncs : if not async . successful ( ) : raise IPyradWarningExit ( async . result ( ) )
Runs bucky for a given set of parameters and stores the result 
        to the ipa.bucky object. The results will be stored by default
        with the name '{name}-{alpha}' unless a argument is passed for
        'subname' to customize the output name. 

        Parameters:
        -----------
        subname (str):
            A custom name prefix for the output files produced by the bucky
            analysis and output into the {workdir}/{name} directory.
        force (bool):
            If True then existing result files with the same name prefix
            will be overwritten. 
        quiet (bool):
            If True the progress bars will be suppressed. 
        ipyclient (ipyparallel.Client)
            An active ipyparallel client to distribute jobs to.
Runs bucky for a given set of parameters and stores the result to the ipa . bucky object . The results will be stored by default with the name { name } - { alpha } unless a argument is passed for subname to customize the output name .