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python Programming Glossary: pool.mapProcessing single file from multiple processes in python http://stackoverflow.com/questions/11196367/processing-single-file-from-multiple-processes-in-python # chunk the work into batches of 4 lines at a time results pool.map process_line source_file 4 print results A Pool is a convenience..
Keyboard Interrupts with python's multiprocessing Pool http://stackoverflow.com/questions/1408356/keyboard-interrupts-with-pythons-multiprocessing-pool i sleep 1 return i i def go pool Pool 8 try results pool.map slowly_square range 40 except KeyboardInterrupt # THIS PART.. is to specify a timeout. To do that replace results pool.map slowly_square range 40 with results pool.map_async slowly_square.. results pool.map slowly_square range 40 with results pool.map_async slowly_square range 40 .get 9999999 or similar. share..
Can't pickle <type 'instancemethod'> when using python's multiprocessing Pool.map() http://stackoverflow.com/questions/1816958/cant-pickle-type-instancemethod-when-using-pythons-multiprocessing-pool-ma self.f 10 #print result.get timeout 1 print pool.map f range 10 if __name__ '__main__' go However when I use it in.. self.f 10 #print result.get timeout 1 print pool.map self.f range 10 Anyone know what the problem could be or an..
Multiprocessing: using Pool.map on a function defined in a class http://stackoverflow.com/questions/3288595/multiprocessing-using-pool-map-on-a-function-defined-in-a-class also was annoyed by restrictions on what sort of functions pool.map could accept. I wrote the following to circumvent this. It appears..
http://stackoverflow.com/questions/3842237/parallel-processing-in-python numToFactor 1 print 'Checking ' possibleFactors result pool.map isFactor possibleFactors cleaned x for x in result if not x..
Python multiprocessing pool.map for multiple arguments http://stackoverflow.com/questions/5442910/python-multiprocessing-pool-map-for-multiple-arguments multiprocessing pool.map for multiple arguments In the Python multiprocessing library.. the Python multiprocessing library is there a variant of pool.map which support multiple arguments text test def harvester text.. pool multiprocessing.Pool processes 6 case RAW_DATASET pool.map harvester text case case 1 pool.close pool.join python multiprocessing..
Is shared readonly data copied to different processes for Python multiprocessing? http://stackoverflow.com/questions/5549190/is-shared-readonly-data-copied-to-different-processes-for-python-multiprocessing and def_param if __name__ '__main__' pool Pool processes 4 pool.map my_func range 1000 Is there a way to make sure or encourage.. __name__ '__main__' pool multiprocessing.Pool processes 4 pool.map my_func range 10 print shared_array which prints 0. 0. 0. 0...
Python multiprocessing: sharing a large read-only object between processes? http://stackoverflow.com/questions/659865/python-multiprocessing-sharing-a-large-read-only-object-between-processes marshal.load 'file.bin' pool Pool processes 4 print pool.map do_some_processing glob.glob ' .data' I'm loading some big object..
http://stackoverflow.com/questions/7865430/multiprocessing-pool-picklingerror-cant-pickle-type-thread-lock-attribu for dist in self.working_set pool multiprocessing.Pool pool.map check_one data pool.close pool.join while True try package.. import Queue def foo queue pass pool mp.Pool q Queue.Queue pool.map foo q yields this exception UnpickleableError Cannot pickle.. should just return values from calls to check_one . The pool.map collects the results in a queue of its own making and returns..
Python multiprocessing.Pool: when to use apply, apply_async or map? http://stackoverflow.com/questions/8533318/python-multiprocessing-pool-when-to-use-apply-apply-async-or-map a result such as 1 0 4 9 25 16 49 36 81 64 Notice unlike pool.map the order of the results may not correspond to the order in..
How to spawn parallel child processes on a multi-processor system? http://stackoverflow.com/questions/884650/how-to-spawn-parallel-child-processes-on-a-multi-processor-system pool multiprocessing.Pool processes count print pool.map work 'ls' count And here is a calculation example to make it.. pool multiprocessing.Pool None tasks range 10000 results r pool.map_async calculate tasks callback results.append r.wait # Wait..
how do I parallelize a simple python loop? http://stackoverflow.com/questions/9786102/how-do-i-parallelize-a-simple-python-loop instead pool multiprocessing.Pool 4 out1 out2 out3 zip pool.map calc_stuff range 0 10 offset offset Note that this won't work..
Using Python's Multiprocessing module to execute simultaneous and separate SEAWAT/MODFLOW model runs http://stackoverflow.com/questions/9874042/using-pythons-multiprocessing-module-to-execute-simultaneous-and-separate-seawa # start processes pool mp.Pool # use all available CPUs pool.map safe_run files if __name__ __main__ mp.freeze_support # optional.. program is not frozen main If there are many files then pool.map could be replaced by for _ in pool.imap_unordered safe_run files..
Processing single file from multiple processes in python http://stackoverflow.com/questions/11196367/processing-single-file-from-multiple-processes-in-python limit and line re sorting This is a manual example of the Pool.map but instead of consuming an entire iterable you can set a queue..
How to combine Pool.map with Array (shared memory) in Python multiprocessing? http://stackoverflow.com/questions/1675766/how-to-combine-pool-map-with-array-shared-memory-in-python-multiprocessing to combine Pool.map with Array shared memory in Python multiprocessing I have a.. be processed by multiple processes in parallel. I like the Pool.map function and would like to use it to calculate functions on.. between processes through inheritance when using the Pool.map function Here is a simplified example of what I am trying to..
Can't pickle <type 'instancemethod'> when using python's multiprocessing Pool.map() http://stackoverflow.com/questions/1816958/cant-pickle-type-instancemethod-when-using-pythons-multiprocessing-pool-ma type 'instancemethod' when using python's multiprocessing Pool.map I'm trying to use multiprocessing's Pool.map function to divide.. Pool.map I'm trying to use multiprocessing's Pool.map function to divide out work simultaneously. When I use the following..
Multiprocessing: using Pool.map on a function defined in a class http://stackoverflow.com/questions/3288595/multiprocessing-using-pool-map-on-a-function-defined-in-a-class using Pool.map on a function defined in a class when i run something like..
How to let Pool.map take a lambda function http://stackoverflow.com/questions/4827432/how-to-let-pool-map-take-a-lambda-function to let Pool.map take a lambda function I the following function def copy_file.. self src copy_file src self.target_dir To run your Pool.map p.map Copier target_dir file_list share improve this answer..
Using the multiprocessing module for cluster computing http://stackoverflow.com/questions/5181949/using-the-multiprocessing-module-for-cluster-computing would span across the whole computer cluster and run a Pool.map ... . Is this something that is possible easy to do If this..
PicklingError when using multiprocessing http://stackoverflow.com/questions/7016567/picklingerror-when-using-multiprocessing using multiprocessing I am having trouble when using the Pool.map_async and also Pool.map in the multiprocessing module. I have.. I am having trouble when using the Pool.map_async and also Pool.map in the multiprocessing module. I have implemented a parallel.. function that works fine as long as the function input to Pool.map_async is a regular function. When the function is e.g. a method..
Python multiprocessing.Pool: when to use apply, apply_async or map? http://stackoverflow.com/questions/8533318/python-multiprocessing-pool-when-to-use-apply-apply-async-or-map with use cases for Pool.apply Pool.apply_async and Pool.map . I am mainly using Pool.map what are the advantages of others.. Pool.apply_async and Pool.map . I am mainly using Pool.map what are the advantages of others python multithreading concurrency.. that function returns use Pool.apply . Like Pool.apply Pool.map blocks until the complete result is returned. If you want the..
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