本文整理汇总了Python中dask.distributed.Client.map方法的典型用法代码示例。如果您正苦于以下问题：Python Client.map方法的具体用法？Python Client.map怎么用？Python Client.map使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类dask.distributed.Client的用法示例。
在下文中一共展示了Client.map方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: main
# 需要导入模块: from dask.distributed import Client [as 别名]
# 或者: from dask.distributed.Client import map [as 别名]
def main():
"""."""
host = os.getenv('DASK_SCHEDULER_HOST', default='localhost')
port = os.getenv('DASK_SCHEDULER_PORT', default=8786)
print(host, port)
client = Client('{}:{}'.format(host, port))
# client.run(init_logging)
# client.run_on_scheduler(init_logging)
# Run some mock functions and gather a result
data = client.map(print_listdir, range(10))
future = client.submit(print_values, data)
progress(future)
print('')
result = client.gather(future)
print(result)
# Run a second stage which runs some additional processing.
print('here A')
data_a = client.map(set_value, range(100))
print('here B')
data_b = client.map(square, data_a)
print('here C')
data_c = client.map(neg, data_b)
print('here D')
# Submit a function application to the scheduler
total = client.submit(sum, data_c)
print('here E')
progress(total)
print(total.result())
print('here F')示例2: main
# 需要导入模块: from dask.distributed import Client [as 别名]
# 或者: from dask.distributed.Client import map [as 别名]
def main():
client = Client('localhost:8786')
A = client.map(set_value, range(100))
B = client.map(square, A)
C = client.map(neg, B)
total = client.submit(sum, C)
print(progress(total))
print(total.result())