Files
ml-sdk/private_dictionary.txt
zeekay b057b28176 chore(brand): finish v2 substitution sweep — residual files
After merging chore/purge-zama-brand and chore/purge-zama-brand-v2,
applied the v2 commit's substitution map to the ~18 files those
branches missed:
  notebooks (docs/advanced_examples/*.ipynb, cifar_brevitas_finetuning/*.ipynb)
  pyproject.toml, poetry.lock
  .gitleaksignore, .github/workflows/publish_aws_ami.yaml
  .github/ISSUE_TEMPLATE/release.md, private_dictionary.txt

Substitutions (consistent with v2 commit's mapping):
  zama-ai/concrete-ml    → luxfhe/ml-sdk
  zama-ai/concrete       → luxfhe/torus
  zama-ai/tfhe-rs        → luxfhe/tfhe
  zama-ai                → luxfhe
  github.com/zama-ai     → github.com/luxfhe
  docs.zama.ai           → docs.luxfhe.com
  zama-pypi-cpu          → luxfhe-pypi-cpu
  Concrete ML            → TorusML
  concrete-ml            → torus-ml
  concrete_ml            → torus_ml
  Concrete framework     → Torus framework
  Concrete compiler      → Torus compiler
  Concrete by Zama       → Torus by Lux Industries
  tfhe-rs / TFHE-rs      → Lux-FHE
  fhEVM                  → TorusEVM
  Zama                   → Lux Industries
  Fhenix                 → (removed)

After this commit, the only "zama" string matches remaining in the
working tree (per grep -ril) are inside base64-encoded PNG image
data in notebooks — coincidental substring matches, NOT real
references. Verified 10 files × 1-2 matches each, all 0 outside b64.

Residual real work for phase 2 (NOT in this commit):
  - 89 Python files contain `from concrete.fhe import …` etc.
    These require luxfhe/torus to be a publishable Python module
    before the import statements can be safely renamed. Tracked
    in the v2 commit's roadmap.
  - deps_licenses/*.txt retain Zama upstream license text per
    BSD-3-Clause-Clear §1-§2.
  - LICENSE retains original Zama copyright per the same clause.
2026-05-29 14:07:10 -07:00

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abc
abspath
accuracies
acos
acosh
actionlint
activations
affine
ai
allowzero
ami
andreas
api
arff
arg
argmax
args
asin
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config
configs
conv
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css
csv
cuda
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deepcopy
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deserialize
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dev
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dir
doctests
dtype
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elu
encodings
ensta
Entrypoint
enum
env
eq
erf
eval
evaluationkeys
fgh
fhe
FheMode
functool
functool's
fusable
gaël
gemm
gitbook
github
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gitpython
glm
glu
gmail
gms
gradio
graphproto
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hardswish
hexa
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hostname
href
html
http
https
huggingface
hyper-parameters
IDF
idpol
idx
impl
importances
imshow
init
initializer
initializers
input-set
input-set's
installable
instantiation
ip
ips
islatest
iso
iterable
ith
jaques
jit
joblib
json
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kb
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keypair
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kh
klass
kwarg
kwargs
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learn's
len
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llc
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md
mdformat
minmaxquantizationstats
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mlir
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modelproto
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msb
MSE
mul
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mypy
mypy's
namespace
namings
nan
nan's
natively
nbsphinx
ndarray
ndarrays
netrc
Netron
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nn
nns
noqa
np
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olivier
onnx
ONNXOpInputOutputType
onnxoptimizer
openml
opset
optim
optimizable
os
overfitting
parallelize
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params
pathlib
pca
png
postgres
pragma
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prelist
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priori
protobuf
ptq
publicarguments
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px
py
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qat
qmodel
qnn
qnns
QNN's
quant
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quantized
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quantizer's
quantizers
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quantizing
qvalues
randomstate
rc
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regressormixin
regressor's
regressors
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re-quantization
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rescale
rescaled
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rgb
rint
rint's
rrelu
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rth
runtime
scikit
scipy
selu
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setattr
sgd
sha
sigmoid
sinh
sklearn
sklearnlinearmodelmixin
sklearn's
skops
skorch
skorch's
softmax
softmax's
softplus
sshs
staticmethod
stderr
stdev
stdout
str
subclass
subclasses
subfolders
subfunctions
subgraph
subgraphs
sublicense
sublist
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subobjects
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subtag
subtags
subtype
supportsindex
svm
sys
tanh
tempfile
tensorflow
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tensor's
tf
thresholdedrelu
tlu
Toc
todo
tokenize
tokenizer
toml
toolkits
torchvision
tqdm
traceback
tweedie
uid
uncomment
unicode
uniformquantizationparameters
uniformquantizer
univariate
unprune
unsqueeze
unsqueezed
url
util
utils
varoquaux
vectorize
venv
vl
vpc
xgb
xgboost
xilinx
yaml
yurchak
lux