def runjobs_by_signals(self, when, options):
        # Thanks for Ian Holsman for the idea and code
        from django_extensions.management import signals
        from django.db import models
        from django.conf import settings

        verbosity = int(options.get('verbosity', 1))
        for app_name in settings.INSTALLED_APPS:
            try:
                __import__(app_name + '.management', '', '', [''])
            except ImportError:
                pass

        for app in models.get_apps():
            if verbosity > 1:
                app_name = '.'.join(app.__name__.rsplit('.')[:-1])
                print "Sending %s job signal for: %s" % (when, app_name)
            if when == 'minutely':
                signals.run_minutely_jobs.send(sender=app, app=app)
            elif when == 'quarter_hourly':
                signals.run_quarter_hourly_jobs.send(sender=app, app=app)
            elif when == 'hourly':
                signals.run_hourly_jobs.send(sender=app, app=app)
            elif when == 'daily':
                signals.run_daily_jobs.send(sender=app, app=app)
            elif when == 'weekly':
                signals.run_weekly_jobs.send(sender=app, app=app)
            elif when == 'monthly':
                signals.run_monthly_jobs.send(sender=app, app=app)
            elif when == 'yearly':
                signals.run_yearly_jobs.send(sender=app, app=app)
Solves Ax = B using Cholesky decomposition,
dataset/ETHPy150Open mozilla/inventory/vendor-local/src/django-extensions/build/lib/django_extensions/management/commands/runjobs.py/Command.runjobs_by_signals--crossover with--dataset/ETHPy150Open sympy/sympy/sympy/matrices/matrices.py/MatrixBase.cholesky_solve