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Parallel task graph framework.

Project Description


About TaskGraph

TaskGraph is great.

TaskGraph Dependencies

Task Graph is written in pure Python, but if the psutils package is installed the distributed multiprocessing processeses will be niced.

Example Use

Install taskgraph with

pip install taskgraph


def _create_list_on_disk(value, length, target_path):
    """Create a numpy array on disk filled with value of `size`."""
    target_list = [value] * length
    pickle.dump(target_list, open(target_path, 'wb'))

def _sum_lists_from_disk(list_a_path, list_b_path, target_path):
    """Read two lists, add them and save result."""
    list_a = pickle.load(open(list_a_path, 'rb'))
    list_b = pickle.load(open(list_b_path, 'rb'))
    target_list = []
    for a, b in zip(list_a, list_b):
    pickle.dump(target_list, open(target_path, 'wb'))

# create a taskgraph that uses 4 multiprocessing subprocesses when possible
task_graph = taskgraph.TaskGraph(self.workspace_dir, 4)
target_a_path = os.path.join(self.workspace_dir, 'a.dat')
target_b_path = os.path.join(self.workspace_dir, 'b.dat')
result_path = os.path.join(self.workspace_dir, 'result.dat')
result_2_path = os.path.join(self.workspace_dir, 'result2.dat')
value_a = 5
value_b = 10
list_len = 10
task_a = task_graph.add_task(
    args=(value_a, list_len, target_a_path),
task_b = task_graph.add_task(
    args=(value_b, list_len, target_b_path),
sum_task = task_graph.add_task(
    args=(target_a_path, target_b_path, result_path),
    dependent_task_list=[task_a, task_b])

# expect that result is a list `list_len` long with `value_a+value_b` in it
result = pickle.load(open(result_path, 'rb'))
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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
taskgraph-0.2.4-py2-none-any.whl (8.3 kB) Copy SHA256 Checksum SHA256 2.7 Wheel Sep 19, 2017
taskgraph-0.2.4.tar.gz (6.2 kB) Copy SHA256 Checksum SHA256 Source Sep 19, 2017

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