コード例 #1
0
 def persist_input(self, args_tuple, kwargs_dict, filtered_args_dict):
     DirectoryJob.persist_input(self, args_tuple, kwargs_dict,
                                filtered_args_dict)
     call_info = dict(func=self.func,
                      version_info=self.func.version_info,
                      args=args_tuple,
                      kwargs=kwargs_dict)
     numpy_pickle.dump(call_info, pjoin(self._work_path, 'input.pkl'))
コード例 #2
0
ファイル: cluster_job_store.py プロジェクト: dagss/gridlib
 def __init__(self, store, func, func_path, func_hash, job_hash):
     self.store_path = store.store_path
     job_path = pjoin(self.store_path, JOBS_DIR_NAME, func_path, func_hash, job_hash)
     DirectoryJob.__init__(
         self,
         job_path=job_path,
         store=store,
         func=func,
         logger=store.logger,
         save_npy=store.save_npy,
         mmap_mode=store.mmap_mode,
     )
     self.job_hash = job_hash
     self._jobid_link = pjoin(self.store_path, IDS_DIR_NAME, self.job_hash[:2], self.job_hash[2:])
コード例 #3
0
 def __init__(self, store, func, func_path, func_hash, job_hash):
     self.store_path = store.store_path
     job_path = pjoin(self.store_path, JOBS_DIR_NAME, func_path, func_hash,
                      job_hash)
     DirectoryJob.__init__(self,
                           job_path=job_path,
                           store=store,
                           func=func,
                           logger=store.logger,
                           save_npy=store.save_npy,
                           mmap_mode=store.mmap_mode)
     self.job_hash = job_hash
     self._jobid_link = pjoin(self.store_path, IDS_DIR_NAME,
                              self.job_hash[:2], self.job_hash[2:])
コード例 #4
0
 def load_or_lock(self,
                  blocking=True,
                  pre_load_hook=_noop,
                  post_load_hook=_noop):
     if self.is_computed():
         status, output = DirectoryJob.load_or_lock(self, blocking,
                                                    pre_load_hook,
                                                    post_load_hook)
         if status == MUST_COMPUTE:
             # This happens on unpickling errors; we
             # fail hard on those instead
             raise ClusterJobError('Could not unpickle: %s/output.pkl' %
                                   self.job_path)
         return (status, output)
     else:
         output = None
         # Make output dir -- use this as our lock to figure out
         # whether it is running/dispatched already, or needs
         # to be computed.
         try:
             os.makedirs(self.job_path)
         except OSError, e:
             if e.errno == errno.EEXIST:
                 running = True
             else:
                 raise
         else:
コード例 #5
0
ファイル: cluster_job_store.py プロジェクト: dagss/gridlib
 def load_or_lock(self, blocking=True, pre_load_hook=_noop, post_load_hook=_noop):
     if self.is_computed():
         status, output = DirectoryJob.load_or_lock(self, blocking, pre_load_hook, post_load_hook)
         if status == MUST_COMPUTE:
             # This happens on unpickling errors; we
             # fail hard on those instead
             raise ClusterJobError("Could not unpickle: %s/output.pkl" % self.job_path)
         return (status, output)
     else:
         output = None
         # Make output dir -- use this as our lock to figure out
         # whether it is running/dispatched already, or needs
         # to be computed.
         try:
             os.makedirs(self.job_path)
         except OSError, e:
             if e.errno == errno.EEXIST:
                 running = True
             else:
                 raise
         else:
コード例 #6
0
ファイル: cluster_job_store.py プロジェクト: dagss/gridlib
 def persist_input(self, args_tuple, kwargs_dict, filtered_args_dict):
     DirectoryJob.persist_input(self, args_tuple, kwargs_dict, filtered_args_dict)
     call_info = dict(func=self.func, version_info=self.func.version_info, args=args_tuple, kwargs=kwargs_dict)
     numpy_pickle.dump(call_info, pjoin(self._work_path, "input.pkl"))