OpenFPGA/libs/EXTERNAL/capnproto/c++/samples/calculator.capnp

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Cap'n Proto
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# Copyright (c) 2013-2014 Sandstorm Development Group, Inc. and contributors
# Licensed under the MIT License:
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
# THE SOFTWARE.
@0x85150b117366d14b;
interface Calculator {
# A "simple" mathematical calculator, callable via RPC.
#
# But, to show off Cap'n Proto, we add some twists:
#
# - You can use the result from one call as the input to the next
# without a network round trip. To accomplish this, evaluate()
# returns a `Value` object wrapping the actual numeric value.
# This object may be used in a subsequent expression. With
# promise pipelining, the Value can actually be used before
# the evaluate() call that creates it returns!
#
# - You can define new functions, and then call them. This again
# shows off pipelining, but it also gives the client the
# opportunity to define a function on the client side and have
# the server call back to it.
#
# - The basic arithmetic operators are exposed as Functions, and
# you have to call getOperator() to obtain them from the server.
# This again demonstrates pipelining -- using getOperator() to
# get each operator and then using them in evaluate() still
# only takes one network round trip.
evaluate @0 (expression :Expression) -> (value :Value);
# Evaluate the given expression and return the result. The
# result is returned wrapped in a Value interface so that you
# may pass it back to the server in a pipelined request. To
# actually get the numeric value, you must call read() on the
# Value -- but again, this can be pipelined so that it incurs
# no additional latency.
struct Expression {
# A numeric expression.
union {
literal @0 :Float64;
# A literal numeric value.
previousResult @1 :Value;
# A value that was (or, will be) returned by a previous
# evaluate().
parameter @2 :UInt32;
# A parameter to the function (only valid in function bodies;
# see defFunction).
call :group {
# Call a function on a list of parameters.
function @3 :Function;
params @4 :List(Expression);
}
}
}
interface Value {
# Wraps a numeric value in an RPC object. This allows the value
# to be used in subsequent evaluate() requests without the client
# waiting for the evaluate() that returns the Value to finish.
read @0 () -> (value :Float64);
# Read back the raw numeric value.
}
defFunction @1 (paramCount :Int32, body :Expression)
-> (func :Function);
# Define a function that takes `paramCount` parameters and returns the
# evaluation of `body` after substituting these parameters.
interface Function {
# An algebraic function. Can be called directly, or can be used inside
# an Expression.
#
# A client can create a Function that runs on the server side using
# `defFunction()` or `getOperator()`. Alternatively, a client can
# implement a Function on the client side and the server will call back
# to it. However, a function defined on the client side will require a
# network round trip whenever the server needs to call it, whereas
# functions defined on the server and then passed back to it are called
# locally.
call @0 (params :List(Float64)) -> (value :Float64);
# Call the function on the given parameters.
}
getOperator @2 (op :Operator) -> (func :Function);
# Get a Function representing an arithmetic operator, which can then be
# used in Expressions.
enum Operator {
add @0;
subtract @1;
multiply @2;
divide @3;
}
}