exist it simply means there are no messages in that queue. This is because in Redis a list with no elements in it is automatically removed, and hence it won’t show up in the keys command output, and llen Split an iterator into chunks with n elements each. Warning it must be an actual iterator, if you pass this a concrete sequence will get you repeating elements. So chunks(iter(range(1000)), 10) is Split an iterator into chunks with n elements each. Warning it must be an actual iterator, if you pass this a concrete sequence will get you repeating elements. So chunks(iter(range(1000)), 10) is

exist it simply means there are no messages in that queue. This is because in Redis a list with no elements in it is automatically removed, and hence it won’t show up in the keys command output, and llen Split an iterator into chunks with n elements each. Warning it must be an actual iterator, if you pass this a concrete sequence will get you repeating elements. So chunks(iter(range(1000)), 10) is Split an iterator into chunks with n elements each. Warning it must be an actual iterator, if you pass this a concrete sequence will get you repeating elements. So chunks(iter(range(1000)), 10) is

exist it simply means there are no messages in that queue. This is because in Redis a list with no elements in it is automatically removed, and hence it won’t show up in the keys command output, and llen Split an iterator into chunks with n elements each. Warning it must be an actual iterator, if you pass this a concrete sequence will get you repeating elements. So chunks(iter(range(1000)), 10) is Split an iterator into chunks with n elements each. Warning it must be an actual iterator, if you pass this a concrete sequence will get you repeating elements. So chunks(iter(range(1000)), 10) is

exist it simply means there are no messages in that queue. This is because in Redis a list with no elements in it is automatically removed, and hence it won’t show up in the keys command output, and llen Split an iterator into chunks with n elements each. Warning it must be an actual iterator, if you pass this a concrete sequence will get you repeating elements. So chunks(iter(range(1000)), 10) is Split an iterator into chunks with n elements each. Warning it must be an actual iterator, if you pass this a concrete sequence will get you repeating elements. So chunks(iter(range(1000)), 10) is

exist it simply means there are no messages in that queue. This is because in Redis a list with no elements in it is automatically removed, and hence it won’t show up in the keys command output, and llen a 64 bits value. New worker node name format (name@host) Node names are now constructed by two elements: name and host-name separated by ‘@’. This change was made to more easily identify multiple instances Split an iterator into chunks with n elements each. Warning it must be an actual iterator, if you pass this a concrete sequence will get you repeating elements. So chunks(iter(range(1000)), 10) is

exist it simply means there are no messages in that queue. This is because in Redis a list with no elements in it is automatically removed, and hence it won’t show up in the keys command output, and llen a 64 bits value. New worker node name format (name@host) Node names are now constructed by two elements: name and host-name separated by ‘@’. This change was made to more easily identify multiple instances Split an iterator into chunks with n elements each. Warning it must be an actual iterator, if you pass this a concrete sequence will get you repeating elements. So chunks(iter(range(1000)), 10) is

Multiprocessing Worker - celery.worker celery.utils.chunks(it, n) Split an iterator into chunks with n elements each. Examples # n == 2 >>> x = chunks(iter([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]), 2) >>> list(x) arguments and does nothing. celery.utils.padlist(container, size, default=None) Pad list with default elements. Examples: >>> first, last, city = padlist(["George", "Constanza", "NYC"], 3) ("George", "Constanza" default="Earth") ("George", "Constanza", "NYC", "Earth") celery.utils.repeatlast(it) Iterate over all elements in the iterator, and when its exhausted yield the last value infinitely. celery.utils.retry_over_time(fun

Multiprocessing Worker - celery.worker celery.utils.chunks(it, n) Split an iterator into chunks with n elements each. Examples # n == 2 >>> x = chunks(iter([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]), 2) >>> list(x) arguments and does nothing. celery.utils.padlist(container, size, default=None) Pad list with default elements. Examples: >>> first, last, city = padlist(["George", "Constanza", "NYC"], 3) ("George", "Constanza" default="Earth") ("George", "Constanza", "NYC", "Earth") celery.utils.repeatlast(it) Iterate over all elements in the iterator, and when its exhausted yield the last value infinitely. celery.utils.retry_over_time(fun

6.32 Utilities - celery.utils celery.utils.chunks(it, n) Split an iterator into chunks with n elements each. Examples # n == 2 >>> x = chunks(iter([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]), 2) >>> list(x) arguments and does nothing. celery.utils.padlist(container, size, default=None) Pad list with default elements. 110 Chapter 8. Internals Celery Documentation, Release 2.0.3 (stable) Examples: >>> first, promise: __str__(), __repr__(), __cmp__(). evaluate() celery.utils.repeatlast(it) Iterate over all elements in the iterator, and when its exhausted yield the last value infinitely. celery.utils.retry_over_time(fun

Reference » Utilities - celery.utils celery.utils.chunks(it, n) Split an iterator into chunks with n elements each. Examples # n == 2 >>> x = chunks(iter([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]), 2) >>> list(x) arguments and does nothing. celery.utils.padlist(container, size, default=None) Pad list with default elements. Examples: >>> first, last, city = padlist(["George", "Costanza", "NYC"], 3) ("George", "Costanza" promise: __str__(), __repr__(), __cmp__(). evaluate() celery.utils.repeatlast(it) Iterate over all elements in the iterator, and when its exhausted yield the last value infinitely. celery.utils.retry_over_time(fun