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b832ba2c39
Forked from upstream concrete (BSD-3-Clause-Clear, © 2024 ZAMA) at HEAD
ecb729bb. Modifications copyright © 2026 Lux Industries Inc.
Rebranding scope:
- Python module concrete → torus (across frontends/torus-python)
- Rust module concrete-* → torus-* (across frontends/torus-rust)
- MLIR dialect concretelang → toruslang (across compilers/torus-compiler)
- Compiler optimizer concrete-optimizer → torus-optimizer
- Backend concrete-cpu / concrete-cuda → torus-cpu / torus-cuda
- Wire protocol concrete-protocol → torus-protocol
- Parameter-curves concrete-security-curves-* → torus-security-curves-*
- Public symbols concretelib → toruslib, ConcreteLang → TorusLang
- URLs github.com/zama-ai/concrete → github.com/luxfhe/torus
- URLs docs.zama.ai/concrete → docs.luxfhe.com/torus
Legal compliance:
- LICENSE.txt retains original Copyright © 2024 ZAMA verbatim (§1-§2)
- LICENSE.txt adds modifications copyright © 2026 Lux Industries Inc.
- §3 endorsement clause: Torus is marketed exclusively as a Lux product;
no Zama name used in README, docs, or marketing
- NOTICE file provides factual attribution per legal best practice
(not endorsement; required by upstream BSD-3-Clause-Clear)
README + NOTICE rewritten from scratch with Lux brand:
- Quick-start in Python (torus.fhe)
- Architecture diagram showing the gen-1 vtbl integration path
(luxcpp/gpu → lux-private/gpu-kernels for CUDA/Metal/WebGPU)
- Scheme coverage table: TFHE (luxfi/fhe), CKKS/BGV/BFV (luxfi/lattice)
- Lux FHE family table: Torus / TorusVM / TorusEVM / TorusML / TorusNet
Known limitations (phase-2A scope):
- PyPI package torus-fhe not yet published; the torus Python module
is renamed structurally but pip-installable distribution is a
follow-up (Phase 2A.1)
- MLIR dialect rename is text-level; the compiler-internal LLVM
rebuild (concrete-compiler-internal-llvm-project submodule) is
structural and works; tablegen files renamed concrete→torus but the
generated .inc files in the source tree will regenerate at build
time
- backends/torus-cuda/implementation/ is an upstream submodule
pointer to the tfhe-rs source (not fetched in the staging clone);
the CUDA backend body is delivered out-of-tree
- ~100 test-fixture variable names like concrete_encoded_sample
retain "concrete" as a math term (vs symbolic); these are inside
tests/, not the public API; cleanup is a follow-up commit
- 295 Python `from concrete import ...` residuals in luxfhe/ml-sdk
consumer remain; that repo's import update is Phase 2B
This commit is the seed for the luxfhe/torus repo. Push as the first
commit to a fresh GitHub repo; do not re-import upstream Zama git
history.
103 lines
3.0 KiB
Python
103 lines
3.0 KiB
Python
"""
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Tests of execution of the progress bar.
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"""
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from torus import fhe
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STEP_ESCAPED = "\\E2\\96\\88"
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def test_progress_bar(helpers, monkeypatch):
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"""
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Test progress bar with interactive terminal.
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"""
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monkeypatch.setattr(
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"torus.fhe.mlir.converter.Converter.stdout_with_ansi_support", lambda: True
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)
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def function(x):
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acc = x
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with fhe.tag("init"):
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acc += x
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with fhe.tag("loop"):
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for i in range(100):
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with fhe.tag(f"round_{i}"):
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acc += x
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for _ in range(100):
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acc += x
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return acc
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configuration = helpers.configuration().fork(
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show_progress=True,
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progress_title="TestTitle: ",
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progress_tag=1,
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)
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compiler = fhe.Compiler(function, {"x": "encrypted"})
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inputset = [0, 4]
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circuit = compiler.compile(inputset, configuration)
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next_is_tracing = True
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percents = [f" {i:>3}% " for i in range(101)]
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steps_done = [i // 2 for i in range(101)]
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tags = ["init"] + ["(loop)"] * 49 + [""] * 51
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for line in circuit.mlir.splitlines():
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if "FHE.add_eint" in line:
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next_is_tracing = True
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elif "Tracing.trace_message" in line:
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assert next_is_tracing
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msg = line.split("msg = ")[1].split('"')[1]
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assert configuration.progress_title in msg
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assert percents.pop(0) in msg
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assert msg.count(STEP_ESCAPED) == steps_done.pop(0)
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assert tags.pop(0) in msg.rsplit("%", 1)[1]
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next_is_tracing = False
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def test_progress_bar_no_ansi(helpers, monkeypatch):
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"""
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Test progress bar with non-interactive terminal (pipe, notebook, etc).
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"""
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monkeypatch.setattr(
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"torus.fhe.mlir.converter.Converter.stdout_with_ansi_support", lambda: False
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)
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def function(x):
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acc = x
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for _ in range(100):
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acc += x
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return acc
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configuration = helpers.configuration().fork(show_progress=True)
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compiler = fhe.Compiler(function, {"x": "encrypted"})
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inputset = [0, 4]
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circuit = compiler.compile(inputset, configuration)
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next_is_tracing = True
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for line in circuit.mlir.splitlines():
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print(line)
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if "FHE.add_eint" in line:
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next_is_tracing = True
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elif "Tracing.trace_message" in line:
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if "______" in line:
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continue
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assert next_is_tracing
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msg = line.split("msg = ")[1].split('"')[1]
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assert msg.count(STEP_ESCAPED) == 1 # add one stone
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next_is_tracing = False
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assert "100%" in msg
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def test_progress_bar_empty_circuit(helpers):
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"""
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Test progress bar on empty circuit.
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"""
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def function(x):
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return x
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configuration = helpers.configuration().fork(show_progress=True)
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compiler = fhe.Compiler(function, {"x": "encrypted"})
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inputset = [0, 4]
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circuit = compiler.compile(inputset, configuration)
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assert "Tracing.trace_message" not in circuit.mlir
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