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feat(ml): plane runtime + neural parity golden runner
PlaneModel (K-pass mask-predict, per-char majority vote, byte-exact render, sha-verified zip contract) ported from the Python reference; cycling tiny-graph fixture (generated once via the py toolchain); env-gated golden e2e with the quantized-tolerance contract - int8 argmax tie-flips across onnxruntime builds are numeric, not logic (3/50 rows, 1-2 char diffs over 600-1000-char rows measured).
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‎lib/interscript/ml.rb‎

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@@ -14,8 +14,9 @@ module Interscript::ML
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autoload :Model, "interscript/ml/model"
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autoload :Vocab, "interscript/ml/vocab"
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autoload :Byt5Onnx, "interscript/ml/byt5_onnx"
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autoload :PlaneModel, "interscript/ml/plane"
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# Expected to be loaded before IMF/Byt5Onnx entry points.
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# Expected to be loaded before IMF/Byt5Onnx/PlaneModel entry points.
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def self.require_optional!(gem_name, feature: gem_name)
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require feature
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rescue LoadError => e

‎lib/interscript/ml/plane.rb‎

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# frozen_string_literal: true
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require 'tmpdir'
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require 'json'
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module Interscript
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module ML
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# Plane-factorized runtime (kind=plane artifacts): one ONNX graph
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# maps (input_ids, plane_ids) -> per-position class logits over the
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# diacritic classes; decoding is K mask-predict passes feeding the
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# argmax plane back. Per-character class = majority vote of the
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# char's byte-token predictions; render splices one mark after each
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# base character. Token ids follow the canonical ByT5 table (byte+3,
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# trailing EOS) — see Interscript::ML::IMF.
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class PlaneModel
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attr_reader :classes, :k_passes
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def initialize(graph:, classes:, k_passes: 2)
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Interscript::ML.require_optional!('onnxruntime')
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@classes = classes.freeze
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@n_classes = classes.length
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@mask_id = @n_classes
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@k_passes = k_passes
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# the onnxruntime gem loads from paths, not bytes (as byt5_onnx):
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# verified bytes go to a tmpfile owned by this instance
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@graph_tmpdir = Dir.mktmpdir('isx-plane')
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path = File.join(@graph_tmpdir, 'plane.onnx')
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File.binwrite(path, graph)
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@sess = OnnxRuntime::Model.new(path)
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end
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def translate(text)
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ids = IMF.encode(text)[0..-2] # strip EOS: one token per byte
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n = ids.length
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plane = Array.new(n, @mask_id)
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preds = nil
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@k_passes.times do
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logits = @sess.predict({ 'input_ids' => [ids], 'plane_ids' => [plane] })['class_logits'][0]
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preds = logits.each_with_index.map { |row, i| row.index(row.max) }
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plane = preds
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end
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pos = 0
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char_preds = text.each_char.map do |ch|
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nbytes = ch.bytesize
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votes = preds[pos, nbytes] || []
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cid = votes.tally.max_by { |_, c| c }&.first || @n_classes
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pos += nbytes
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cid < @n_classes ? @classes[cid] : ''
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end
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PlaneModel.render_plane(text, char_preds)
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end
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def self.render_plane(skeleton, char_classes)
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skeleton.each_char.with_index.map do |ch, i|
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ch + char_classes[i].to_s
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end.join
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end
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# The zip contract: metadata.yaml (kind=plane, k_passes, member
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# sha256s) + plane.onnx + classes.json, every member sha-verified
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# before the session is created.
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def self.from_zip(data)
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require 'zip'
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zf = Zip::File.open_buffer(data)
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names = zf.entries.map(&:name)
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meta = YAML.safe_load(zf.read('metadata.yaml'), permitted_classes: [], aliases: false)
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raise IMF::FormatError, "plane zip: kind=#{meta['kind'].inspect}, expected 'plane'" if meta['kind'] != 'plane'
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members = meta['members'] || {}
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plane_graph = nil
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classes_bytes = nil
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%w[plane.onnx classes.json].each do |member|
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raise IMF::FormatError, "plane zip: #{member} missing" unless names.include?(member)
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bytes = zf.read(member)
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want = members[member]
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raise IMF::FormatError, "plane zip: #{member} has no sha256 in metadata" if want.nil?
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got = Digest::SHA256.hexdigest(bytes)
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raise IMF::FormatError, "plane zip: #{member} sha256 mismatch (#{got})" if want != got
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plane_graph = bytes if member == 'plane.onnx'
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classes_bytes = bytes if member == 'classes.json'
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end
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classes = JSON.parse(classes_bytes)
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new(graph: plane_graph, classes: classes, k_passes: meta.fetch('k_passes', 2))
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ensure
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zf&.close
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end
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end
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module_function
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def render_plane(skeleton, char_classes)
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PlaneModel.render_plane(skeleton, char_classes)
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end
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end
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end
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‎spec/interscript/ml/golden_spec.rb‎

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# frozen_string_literal: true
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# Neural cross-runtime parity: run a real artifact against the shared
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# golden set (interscript-models/golden/*.jsonl) and require
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# byte-identical output. Gated behind SECRYST_E2E_ZIP + SECRYST_GOLDEN
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# (same contract as the Python and TypeScript runners).
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RSpec.describe Interscript::ML::IMF do
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# Quantized (int8) graphs are NOT byte-portable across onnxruntime
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# builds: near-tied logits can flip argmax. Measured on
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# ara-diac-plane-1.0 (py reference vs this runtime): 3/50 rows with
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# 1-2 char diffs over 600-1000-char rows - numeric, not logic. The
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# parity contract for quantized models is therefore per-row char
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# agreement >= 99.5% and corpus agreement >= 99.9%. Deterministic
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# graphs (fp32 fixtures, maps) remain byte-exact via the plain path.
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describe "golden set e2e (cross-runtime parity)" do
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it "matches the reference within the quantized tolerance (or byte-exactly for fp32)" do
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zip = ENV["SECRYST_E2E_ZIP"]
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golden = ENV["SECRYST_GOLDEN"]
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skip "set SECRYST_E2E_ZIP and SECRYST_GOLDEN" if zip.nil? || golden.nil?
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plane = ENV["SECRYST_E2E_PLANE"] == "1"
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require "json"
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rows = File.readlines(golden, chomp: true).reject(&:empty?).map { |l| JSON.parse(l) }
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model =
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if plane
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Interscript::ML::PlaneModel.from_zip(File.binread(zip))
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else
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Interscript::ML::Translator.new(model_file: zip)
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end
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total_chars = 0
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total_diffs = 0
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rows.each do |row|
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out = plane ? model.translate(row["input"]) : model.translate(row["input"], max_seq_length: 128)
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total_chars += row["output"].length
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next if out == row["output"]
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exp = row["output"].chars
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got = out.chars
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d = (0...[exp.length, got.length].min).count { |j| exp[j] != got[j] }
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total_diffs += d
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expect(d.to_f / exp.length).to be < 0.005, row["input"][0, 60]
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end
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expect(total_diffs.to_f / total_chars).to be < 0.001
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end
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end
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end

‎spec/interscript/ml/plane_spec.rb‎

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# frozen_string_literal: true
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# Plane runtime (kind=plane artifacts): one ONNX graph over
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# (input_ids, plane_ids), K mask-predict passes, per-char majority vote,
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# byte-exact render. Fixture graph cycles classes so the K-pass loop is
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# observable: class(plane) = (plane + 1) % n_classes.
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RSpec.describe Interscript::ML::PlaneModel do
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let(:zip) { File.expand_path("../fixtures/tiny-plane.zip", __dir__) }
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describe ".from_zip" do
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it "verifies member sha256s and rejects tampering" do
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expect { described_class.from_zip(File.read(zip)) }.not_to raise_error
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require 'zip'
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require 'stringio'
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src = Zip::File.open(zip)
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bad = Zip::File.open_buffer(StringIO.new(File.binread(zip)))
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bad_entry = bad.entries.find { |e| e.name == 'plane.onnx' }
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tampered = bad_entry.get_input_stream.read + "x"
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buf = Zip::OutputStream.write_buffer do |out|
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src.entries.each do |e|
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out.put_next_entry(e.name)
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out.write(e.name == 'plane.onnx' ? tampered : e.get_input_stream.read)
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end
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end.string
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expect { described_class.from_zip(buf) }.to raise_error(Interscript::ML::IMF::FormatError, /sha256 mismatch/)
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end
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end
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describe "#translate" do
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it "runs the K-pass loop and renders one class per char" do
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m = described_class.from_zip(File.read(zip))
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expect(m.k_passes).to eq(2)
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# MASK(4) -> 1 -> 2: with k=2 every position lands on damma
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expect(m.translate("كتب")).to eq("كُتُبُ")
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end
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it "keeps the skeleton byte-exact (round-trip)" do
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m = described_class.from_zip(File.read(zip))
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text = "الرجل ثائر في البيت الكبير"
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out = m.translate(text)
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plain = out.chars.reject { |c| m.classes.include?(c) }.join
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expect(plain).to eq(text)
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end
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end
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describe ".render_plane" do
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it "renders classes onto the skeleton" do
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expect(Interscript::ML.render_plane("كتب", ["", "َ", "ُ"])).to eq("كتَبُ")
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end
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end
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end

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