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* [Services](language/expressions/services.md)
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* [Type definitions](language/expressions/type-definitions.md)
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* [Overrideable constants](language/expressions/overrideable-constants.md)
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* [CRDT Streams](language/crdt-streams.md)
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* [Abilities & Services](language/abilities-and-services.md)
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* [Imports & exports](language/statements-1.md)
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* [Aqua Patterns](aqua-patterns.md)
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language/crdt-streams.md
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2
language/crdt-streams.md
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# CRDT Streams
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@ -135,9 +135,93 @@ func bar():
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Visibility scopes follows the contracts of execution flow.
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By default, everything defined textually above is available below. With some exceptions.
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Functions have isolated scopes:
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```text
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func foo():
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a = 5
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func bar():
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-- a is not defined in this function scope
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a = 7
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foo() -- a inside fo is 5
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```
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[For loop](operators/iterative.md#export-data-from-for) does not export anything from it:
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```text
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func foo():
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x = 5
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for y <- ys:
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-- Can use what was defined above
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z <- bar(x)
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-- z is not defined in scope
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z = 7
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```
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[Parallel](operators/parallel.md#join-behavior) branches have [no access](https://github.com/fluencelabs/aqua/issues/90) to each other's data:
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```text
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-- This will deadlock, as foo branch of execution will
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-- never send x to a parallel bar branch
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x <- foo()
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par y <- bar(x)
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-- After par is executed, all the can be used
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baz(x, y)
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```
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Recovery branches in [conditional flow](operators/conditional.md) has no access to the main branch. Main branch exports values, recovery branch does not:
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```text
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try:
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x <- foo()
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otherwise:
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-- this is not possible – will fail
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bar(x)
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y <- baz()
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-- y is not available below
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willFail(y)
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```
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### Streams as literals
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Stream is a special data that allows many writes. It worth a dedicated article.
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Stream is a special data that allows many writes. It has [a dedicated article](crdt-streams.md).
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Here we just explain how to initiate streams and use them as empty collection literals. Refer to conditional return.
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To use a stream, you need to initiate it at first:
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```text
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-- Appendable collection of strings, empty
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resp: *string
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-- Write strings to resp in parallel
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resp <- foo()
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par resp <- bar()
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for x <- xs:
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-- Write to a stream that's defined above
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resp <- baz()
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try:
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resp <- baz()
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otherwise:
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on "other peer":
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resp <- baz()
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-- Now resp can be used in place of arrays and optional values
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-- assume fn: []string -> ()
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fn(resp)
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-- Can call fn with empty stream: you can use it
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-- to construct empty values of any collection types
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nilString: *string
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fn(nilString)
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```
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One of the most frequently used patterns for streams is [Conditional return](operators/conditional.md#conditional-return).
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