Comments (6)
If I'm understanding your issue, correctly (and I may not), this is actually not a bug as it is outside of control of jug. Jug makes no attempt at "fairly" distributing tasks.
The distribution of tasks depends only on the scheduling of processes by the operating system, which can be very stochastic. If there are processes that are idle for a long time, this may be a jug issue, but what you describe seems like the expected behaviour.
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I see what you mean, but the problem is the 11 tasks are executed twice. It's reasonable that tasks are assigned stochastically.
from jug.
Ah, then it is a big problem.
Please post some code with more information.
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from jug.
Actually, jug is working as expected as the task depends on the time()
: every time you call it, you are generating a different set of tasks (unless they are called in the same second).
This is a variant of this issue: http://jug.readthedocs.io/en/latest/faq.html#it-doesn-t-work-with-random-input
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I see. I changed the argument "start_time" to a fixed number and the problem is fixed. Thanks!
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Related Issues (20)
- Invalidate inside shell doesn't invalidate dependent tasks HOT 2
- Invalidate --target is too greedy HOT 4
- Ability to pass argument(s) that don't create new tasks HOT 2
- Always trigger `hooks.exit_checks.exit_env_vars`
- Implement --target for jug cleanup HOT 2
- Processes only start working after checking status HOT 7
- The right way to use Jug with class object HOT 5
- Jug sleep-until exits too early when using barrier
- Error while running jug execute prime.py HOT 1
- NoLoad does not track dependencies
- Calling execute from code HOT 2
- Memory "leak" HOT 2
- Tasklet usage/Tasklet.can_load() HOT 3
- jug shell's invalidate() fails if NoLoad task in DAG
- `pdb` option doesn't seem to work HOT 1
- Jug throwing error, while running on PBS based HPC cluster HOT 3
- add options to webstatus subcommand (port, ipaddress) HOT 1
- IterateTask as a decorator HOT 5
- Allow cleanup of only locks HOT 4
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