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require 'libnerv'
require 'matrix.init'
require 'io.init'
nerv.utils = require 'pl.utils'
function nerv.error(fmt, ...)
error(nerv.utils.printf("Nerv internal error: " .. fmt .. "\n", ...))
end
function nerv.error_method_not_implement()
nerv.error("method not implemented");
end
-- Torch C API wrapper
function nerv.class(tname, parenttname)
local function constructor(...)
local self = {}
nerv.setmetatable(self, tname)
if self.__init then
self:__init(...)
end
return self
end
local function factory()
local self = {}
nerv.setmetatable(self, tname)
return self
end
local mt = nerv.newmetatable(tname, parenttname, constructor, nil, factory)
local mpt
if parenttname then
mpt = nerv.getmetatable(parenttname)
end
return mt, mpt
end
function table.val_to_str(v)
if "string" == type(v) then
v = string.gsub(v, "\n", "\\n")
if string.match(string.gsub(v,"[^'\"]",""), '^"+$') then
return "'" .. v .. "'"
end
return '"' .. string.gsub(v,'"', '\\"') .. '"'
else
return "table" == type(v) and table.tostring(v) or
tostring(v)
end
end
function table.key_to_str (k)
if "string" == type(k) and string.match(k, "^[_%a][_%a%d]*$") then
return k
else
return "[" .. table.val_to_str(k) .. "]"
end
end
function table.tostring(tbl)
local result, done = {}, {}
for k, v in ipairs(tbl) do
table.insert(result, table.val_to_str(v))
done[k] = true
end
for k, v in pairs(tbl) do
if not done[k] then
table.insert(result,
table.key_to_str(k) .. "=" .. table.val_to_str(v))
end
end
return "{" .. table.concat(result, ",") .. "}"
end
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