Add documentation to every function and automatic doc html building (#6)

Reviewed-on: Rubydragon/MetagraphOptimization.jl#6
Co-authored-by: Anton Reinhard <anton.reinhard@proton.me>
Co-committed-by: Anton Reinhard <anton.reinhard@proton.me>
This commit is contained in:
2023-08-29 12:57:46 +02:00
committed by Anton Reinhard
parent 8014bbffcd
commit 065236be22
53 changed files with 1628 additions and 141 deletions

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@@ -1,11 +1,14 @@
using Printf
# functions for importing DAGs from a file
regex_a = r"^[A-C]\d+$" # Regex for the initial particles
regex_c = r"^[A-C]\(([^']*),([^']*)\)$" # Regex for the combinations of 2 particles
regex_m = r"^M\(([^']*),([^']*),([^']*)\)$" # Regex for the combinations of 3 particles
regex_plus = r"^\+$" # Regex for the sum
"""
parse_nodes(input::AbstractString)
Parse the given string into a vector of strings containing each node.
"""
function parse_nodes(input::AbstractString)
regex = r"'([^']*)'"
matches = eachmatch(regex, input)
@@ -13,6 +16,11 @@ function parse_nodes(input::AbstractString)
return output
end
"""
parse_edges(input::AbstractString)
Parse the given string into a vector of strings containing each edge. Currently unused since the entire graph can be read from just the node names.
"""
function parse_edges(input::AbstractString)
regex = r"\('([^']*)', '([^']*)'\)"
matches = eachmatch(regex, input)
@@ -20,7 +28,13 @@ function parse_edges(input::AbstractString)
return output
end
# reads an abc-model process from the given file
"""
parse_abc(filename::String; verbose::Bool = false)
Read an abc-model process from the given file. If `verbose` is set to true, print some progress information to stdout.
Returns a valid [`DAG`](@ref).
"""
function parse_abc(filename::String, verbose::Bool = false)
file = open(filename, "r")
@@ -63,9 +77,11 @@ function parse_abc(filename::String, verbose::Bool = false)
noNodes += 1
if (noNodes % 100 == 0)
if (verbose)
@printf "\rReading Nodes... %.2f%%" (
100.0 * noNodes / nodesToRead
percent = string(
round(100.0 * noNodes / nodesToRead, digits = 2),
"%",
)
print("\rReading Nodes... $percent")
end
end
if occursin(regex_a, node)

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@@ -1,21 +1,102 @@
# define compute_efforts tasks computation
# put some "random" numbers here for now
"""
compute_effort(t::ComputeTaskS1)
Return the compute effort of an S1 task.
"""
compute_effort(t::ComputeTaskS1) = 10
"""
compute_effort(t::ComputeTaskS2)
Return the compute effort of an S2 task.
"""
compute_effort(t::ComputeTaskS2) = 10
"""
compute_effort(t::ComputeTaskU)
Return the compute effort of a U task.
"""
compute_effort(t::ComputeTaskU) = 6
"""
compute_effort(t::ComputeTaskV)
Return the compute effort of a V task.
"""
compute_effort(t::ComputeTaskV) = 20
"""
compute_effort(t::ComputeTaskP)
Return the compute effort of a P task.
"""
compute_effort(t::ComputeTaskP) = 15
"""
compute_effort(t::ComputeTaskSum)
Return the compute effort of a Sum task.
Note: This is a constant compute effort, even though sum scales with the number of its inputs. Since there is only ever a single sum node in a graph generated from the ABC-Model,
this doesn't matter.
"""
compute_effort(t::ComputeTaskSum) = 1
"""
show(io::IO, t::DataTask)
Print the data task to io.
"""
function show(io::IO, t::DataTask)
return print(io, "Data", t.data)
end
"""
show(io::IO, t::ComputeTaskS1)
Print the S1 task to io.
"""
show(io::IO, t::ComputeTaskS1) = print("ComputeS1")
"""
show(io::IO, t::ComputeTaskS2)
Print the S2 task to io.
"""
show(io::IO, t::ComputeTaskS2) = print("ComputeS2")
"""
show(io::IO, t::ComputeTaskP)
Print the P task to io.
"""
show(io::IO, t::ComputeTaskP) = print("ComputeP")
"""
show(io::IO, t::ComputeTaskU)
Print the U task to io.
"""
show(io::IO, t::ComputeTaskU) = print("ComputeU")
"""
show(io::IO, t::ComputeTaskV)
Print the V task to io.
"""
show(io::IO, t::ComputeTaskV) = print("ComputeV")
"""
show(io::IO, t::ComputeTaskSum)
Print the sum task to io.
"""
show(io::IO, t::ComputeTaskSum) = print("ComputeSum")
"""
copy(t::DataTask)
Copy the data task and return it.
"""
copy(t::DataTask) = DataTask(t.data)

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@@ -1,25 +1,59 @@
"""
DataTask <: AbstractDataTask
Task representing a specific data transfer in the ABC Model.
"""
struct DataTask <: AbstractDataTask
data::UInt64
end
# S task with 1 child
"""
ComputeTaskS1 <: AbstractComputeTask
S task with a single child.
"""
struct ComputeTaskS1 <: AbstractComputeTask end
# S task with 2 children
"""
ComputeTaskS2 <: AbstractComputeTask
S task with two children.
"""
struct ComputeTaskS2 <: AbstractComputeTask end
# P task with 0 children
"""
ComputeTaskP <: AbstractComputeTask
P task with no children.
"""
struct ComputeTaskP <: AbstractComputeTask end
# v task with 2 children
"""
ComputeTaskV <: AbstractComputeTask
v task with two children.
"""
struct ComputeTaskV <: AbstractComputeTask end
# u task with 1 child
"""
ComputeTaskU <: AbstractComputeTask
u task with a single child.
"""
struct ComputeTaskU <: AbstractComputeTask end
# task that sums all its inputs, n children
"""
ComputeTaskSum <: AbstractComputeTask
Task that sums all its inputs, n children.
"""
struct ComputeTaskSum <: AbstractComputeTask end
"""
ABC_TASKS
Constant vector of all tasks of the ABC-Model.
"""
ABC_TASKS = [
DataTask,
ComputeTaskS1,