an iterable then that’ll be used as the list of tasks instead: this allows us to use group with generator expressions. Example >>> lazy_group = group([add.s(2, 2), add.s(4, 4)]) >>> promise = lazy_group() only one argument, then that argument must be an iterable of tasks to chain: this allows us to use generator expressions. Example This is effectively : >>> res = chain(add.s(2, 2), add.s(4))() >>> res You can get to the other tasks by following the result.parent‘s: >>> res.parent.get() 4 Using a generator expression: >>> lazy_chain = chain(add.s(i) for i in range(10)) >>> res = lazy_chain(3) Parameters:

an iterable then that’ll be used as the list of tasks instead: this allows us to use group with generator expressions. Example >>> lazy_group = group([add.s(2, 2), add.s(4, 4)]) >>> promise = lazy_group() only one argument, then that argument must be an iterable of tasks to chain: this allows us to use generator expressions. Example This is effectively : >>> res = chain(add.s(2, 2), add.s(4))() >>> res You can get to the other tasks by following the result.parent‘s: >>> res.parent.get() 4 Using a generator expression: >>> lazy_chain = chain(add.s(i) for i in range(10)) >>> res = lazy_chain(3) Parameters:

an iterable then that’ll be used as the list of tasks instead: this allows us to use group with generator expressions. Example >>> lazy_group = group([add.s(2, 2), add.s(4, 4)]) >>> promise = lazy_group() only one argument, then that argument must be an iterable of tasks to chain: this allows us to use generator expressions. Example This is effectively : >>> res = chain(add.s(2, 2), add.s(4))() >>> res You can get to the other tasks by following the result.parent’s: >>> res.parent.get() 4 Using a generator expression: >>> lazy_chain = chain(add.s(i) for i in range(10)) >>> res = lazy_chain(3) *tasks

an iterable then that’ll be used as the list of tasks instead: this allows us to use group with generator expressions. Example >>> lazy_group = group([add.s(2, 2), add.s(4, 4)]) >>> promise = lazy_group() only one argument, then that argument must be an iterable of tasks to chain: this allows us to use generator expressions. Example This is effectively : >>> res = chain(add.s(2, 2), add.s(4))() >>> res You can get to the other tasks by following the result.parent’s: >>> res.parent.get() 4 Using a generator expression: >>> lazy_chain = chain(add.s(i) for i in range(10)) >>> res = lazy_chain(3) *tasks

an iterable then that’ll be used as the list of tasks instead: this allows us to use group with generator expressions. Example >>> lazy_group = group([add.s(2, 2), add.s(4, 4)]) >>> promise = lazy_group() only one argument, then that argument must be an iterable of tasks to chain: this allows us to use generator expressions. Example This is effectively : >>> res = chain(add.s(2, 2), add.s(4))() >>> res You can get to the other tasks by following the result.parent’s: >>> res.parent.get() 4 Using a generator expression: >>> lazy_chain = chain(add.s(i) for i in range(10)) >>> res = lazy_chain(3) *tasks

an iterable then that’ll be used as the list of tasks instead: this allows us to use group with generator expressions. Example >>> lazy_group = group([add.s(2, 2), add.s(4, 4)]) >>> promise = lazy_group() only one argument, then that argument must be an iterable of tasks to chain: this allows us to use generator expressions. Example This is effectively : >>> res = chain(add.s(2, 2), add.s(4))() >>> res You can get to the other tasks by following the result.parent’s: >>> res.parent.get() 4 Using a generator expression: >>> lazy_chain = chain(add.s(i) for i in range(10)) >>> res = lazy_chain(3) *tasks

an iterable then that’ll be used as the list of tasks instead: this allows us to use group with generator expressions. Example >>> lazy_group = group([add.s(2, 2), add.s(4, 4)]) >>> promise = lazy_group() only one argument, then that argument must be an iterable of tasks to chain: this allows us to use generator expressions. Example This is effectively ((2 + 2) + 4): >>> res = chain(add.s(2, 2), add.s(4))() You can get to the other tasks by following the result.parent‘s: >>> res.parent.get() 4 Using a generator expression: >>> lazy_chain = chain(add.s(i) for i in range(10)) >>> res = lazy_chain(3) Parameters

an iterable then that’ll be used as the list of tasks instead: this allows us to use group with generator expressions. Example >>> lazy_group = group([add.s(2, 2), add.s(4, 4)]) >>> promise = lazy_group() only one argument, then that argument must be an iterable of tasks to chain: this allows us to use generator expressions. Example This is effectively : >>> res = chain(add.s(2, 2), add.s(4))() >>> res You can get to the other tasks by following the result.parent‘s: >>> res.parent.get() 4 Using a generator expression: >>> lazy_chain = chain(add.s(i) for i in range(10)) >>> res = lazy_chain(3) Parameters:

an iterable then that’ll be used as the list of tasks instead: this allows us to use group with generator expressions. Example >>> lazy_group = group([add.s(2, 2), add.s(4, 4)]) >>> promise = lazy_group() only one argument, then that argument must be an iterable of tasks to chain: this allows us to use generator expressions. Example This is effectively : >>> res = chain(add.s(2, 2), add.s(4))() >>> res You can get to the other tasks by following the result.parent‘s: >>> res.parent.get() 4 Using a generator expression: >>> lazy_chain = chain(add.s(i) for i in range(10)) >>> res = lazy_chain(3) Parameters:

an iterable then that’ll be used as the list of tasks instead: this allows us to use group with generator expressions. Example >>> lazy_group = group([add.s(2, 2), add.s(4, 4)]) >>> promise = lazy_group() only one argument, then that argument must be an iterable of tasks to chain: this allows us to use generator expressions. Example This is effectively ((2 + 2) + 4): >>> res = chain(add.s(2, 2), add.s(4))() You can get to the other tasks by following the result.parent‘s: >>> res.parent.get() 4 Using a generator expression: >>> lazy_chain = chain(add.s(i) for i in range(10)) >>> res = lazy_chain(3) Parameters