| Conditions | 7 |
| Total Lines | 66 |
| Lines | 0 |
| Ratio | 0 % |
| Changes | 35 | ||
| Bugs | 10 | Features | 1 |
Small methods make your code easier to understand, in particular if combined with a good name. Besides, if your method is small, finding a good name is usually much easier.
For example, if you find yourself adding comments to a method's body, this is usually a good sign to extract the commented part to a new method, and use the comment as a starting point when coming up with a good name for this new method.
Commonly applied refactorings include:
If many parameters/temporary variables are present:
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| 98 | def create_submit(queue_id,**kwargs): |
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| 99 | queue_name = queue_id |
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| 100 | num_tasks = 1 |
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| 101 | if 'num_tasks' in kwargs: |
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| 102 | num_tasks = kwargs['num_tasks'] |
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| 103 | |||
| 104 | tpn = tasks_per_node(queue_id) |
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| 105 | queue_tpn = tpn |
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| 106 | if 'tasks_per_node' in kwargs: |
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| 107 | tpn = min(tpn,kwargs['tasks_per_node']) |
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| 108 | |||
| 109 | nc = node_config(queue_id) |
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| 110 | qc = available_tasks(queue_id) |
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| 111 | |||
| 112 | if qc['max tasks'] > 0: |
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| 113 | num_tasks = min(num_tasks,qc['max tasks']) |
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| 114 | |||
| 115 | num_threads_per_task = nc['max thread'] |
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| 116 | if 'num_threads_per_task' in kwargs: |
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| 117 | num_threads_per_task = kwargs['num_threads_per_task'] |
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| 118 | num_threads_per_task = min(num_threads_per_task,int(math.ceil(float(nc['max thread'])/float(tpn)))) |
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| 119 | |||
| 120 | my_name = kwargs.get('my_name', "myclusterjob") |
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| 121 | my_output = kwargs.get('my_output', "myclusterjob.out") |
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| 122 | my_script = kwargs.get('my_script', None) |
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| 123 | if 'mycluster-' in my_script: |
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| 124 | my_script = get_data(my_script) |
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| 125 | |||
| 126 | user_email = kwargs.get('user_email', None) |
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| 127 | project_name = kwargs.get('project_name', 'default') |
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| 128 | |||
| 129 | wall_clock = kwargs.get('wall_clock', '12:00') |
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| 130 | if ':' not in wall_clock: |
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| 131 | wall_clock = wall_clock + ':00' |
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| 132 | |||
| 133 | num_nodes = int(math.ceil(float(num_tasks)/float(tpn))) |
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| 134 | |||
| 135 | num_queue_slots = num_nodes*queue_tpn |
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| 136 | |||
| 137 | no_syscribe = kwargs.get('no_syscribe', False) |
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| 138 | |||
| 139 | record_job = not no_syscribe |
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| 140 | |||
| 141 | openmpi_args = kwargs.get('openmpi_args', "-bysocket -bind-to-socket") |
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| 142 | |||
| 143 | qos = kwargs.get('qos', None) |
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| 144 | |||
| 145 | template = load_template('lsf.jinja') |
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| 146 | |||
| 147 | script_str = template.render(my_name = my_name, |
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| 148 | my_script = my_script, |
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| 149 | my_output = my_output, |
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| 150 | user_email = user_email, |
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| 151 | queue_name = queue_name, |
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| 152 | num_queue_slots = num_queue_slots, |
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| 153 | num_tasks = num_tasks, |
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| 154 | tpn = tpn, |
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| 155 | num_threads_per_task = num_threads_per_task, |
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| 156 | num_nodes = num_nodes, |
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| 157 | project_name = project_name, |
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| 158 | wall_clock = wall_clock, |
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| 159 | record_job = record_job, |
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| 160 | openmpi_args = openmpi_args, |
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| 161 | qos = qos) |
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| 162 | |||
| 163 | return script_str |
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| 164 | |||
| 234 |