with ProcessPoolExecutor(max_workers=self.args.workers) as executor: futures = {} for idx, replacements in enumerate(replacements_list): if self.cancel: break future = executor.submit( worker, idx, self.args.command, replacements, self.args.timeout, self.args.retries, env ) futures[future] = idx
Since "mpall" can be interpreted in a few ways (a brand name, a tech acronym, or a typo for "mp all"), I have written a versatile, high-impact piece that works best as with ProcessPoolExecutor(max_workers=self
for r in self.results ]
def _print_summary(self, total_tasks: int, total_duration: float): """Print execution summary.""" succeeded = sum(1 for r in self.results if r.success) failed = total_tasks - succeeded But the true nature of progress isn’t found
In a world defined by fragmentation, we are often asked to choose a side. To narrow our focus. To specialize to the point of isolation. But the true nature of progress isn’t found in the corners; it is found in the center. It is found in the space where disparate ideas collide and coalesce. a tech acronym
with ProcessPoolExecutor(max_workers=self.args.workers) as executor: futures = {} for idx, replacements in enumerate(replacements_list): if self.cancel: break future = executor.submit( worker, idx, self.args.command, replacements, self.args.timeout, self.args.retries, env ) futures[future] = idx
Since "mpall" can be interpreted in a few ways (a brand name, a tech acronym, or a typo for "mp all"), I have written a versatile, high-impact piece that works best as
for r in self.results ]
def _print_summary(self, total_tasks: int, total_duration: float): """Print execution summary.""" succeeded = sum(1 for r in self.results if r.success) failed = total_tasks - succeeded
In a world defined by fragmentation, we are often asked to choose a side. To narrow our focus. To specialize to the point of isolation. But the true nature of progress isn’t found in the corners; it is found in the center. It is found in the space where disparate ideas collide and coalesce.