Updated tooling for current workflow

This commit is contained in:
2026-06-24 09:03:11 +01:00
parent 5cf3feb507
commit 74517e4611
11 changed files with 3616 additions and 1465 deletions
+1
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@@ -163,6 +163,7 @@ cython_debug/
.jj
.direnv
.devenv
scratchpad.ipynb
datasets/
checkpoints/
+1 -1
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@@ -1 +1 @@
3.12.4
3.10
+83
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@@ -0,0 +1,83 @@
{
"nodes": {
"devenv": {
"locked": {
"dir": "src/modules",
"lastModified": 1782153911,
"narHash": "sha256-Z7BG4cSJX1ybJeZztEMV8WlE6GrXJsSd34x9eHvpzU8=",
"owner": "cachix",
"repo": "devenv",
"rev": "d894e487bb23ed87e0555d2158710844bde65322",
"type": "github"
},
"original": {
"dir": "src/modules",
"owner": "cachix",
"repo": "devenv",
"type": "github"
}
},
"flake-compat": {
"flake": false,
"locked": {
"lastModified": 1767039857,
"narHash": "sha256-vNpUSpF5Nuw8xvDLj2KCwwksIbjua2LZCqhV1LNRDns=",
"owner": "edolstra",
"repo": "flake-compat",
"rev": "5edf11c44bc78a0d334f6334cdaf7d60d732daab",
"type": "github"
},
"original": {
"owner": "edolstra",
"repo": "flake-compat",
"type": "github"
}
},
"nixpkgs": {
"locked": {
"lastModified": 1781607440,
"narHash": "sha256-rxO+uc/KFbSJp+pgyXRuAX6QlG9hJdnt0BXpEQRXY+U=",
"owner": "NixOS",
"repo": "nixpkgs",
"rev": "3e41b24abd260e8f71dbe2f5737d24122f972158",
"type": "github"
},
"original": {
"owner": "NixOS",
"ref": "nixpkgs-unstable",
"repo": "nixpkgs",
"type": "github"
}
},
"nixpkgs-python": {
"inputs": {
"flake-compat": "flake-compat",
"nixpkgs": [
"nixpkgs"
]
},
"locked": {
"lastModified": 1781070343,
"narHash": "sha256-wXAybU+2LlbXm9cfRDHRPASakq60rLvZBXVT2Ahkj1U=",
"owner": "cachix",
"repo": "nixpkgs-python",
"rev": "23629493653be6df0472a46b1be1d65cbd6df55b",
"type": "github"
},
"original": {
"owner": "cachix",
"repo": "nixpkgs-python",
"type": "github"
}
},
"root": {
"inputs": {
"devenv": "devenv",
"nixpkgs": "nixpkgs",
"nixpkgs-python": "nixpkgs-python"
}
}
},
"root": "root",
"version": 7
}
+71
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@@ -0,0 +1,71 @@
{ pkgs, lib, config, inputs, ... }:
let
scli = pkgs.stdenv.mkDerivation {
pname = "scli";
version = "0.2.4";
src = pkgs.fetchurl {
url = "https://github.com/scallop-lang/scallop/releases/download/0.2.4/scli-0.2.4-linux-x86_64";
sha256 = "jF7Ib82w29VWmO/3VwrHOW0LCHjmASB/ho1h+dZIK5o=";
};
phases = [ "installPhase" ];
installPhase = ''
install -m755 -D $src $out/bin/scli
'';
};
sclrepl = pkgs.stdenv.mkDerivation {
pname = "sclrepl";
version = "0.2.4";
src = pkgs.fetchurl {
url = "https://github.com/scallop-lang/scallop/releases/download/0.2.4/sclrepl-0.2.4-linux-x86_64";
sha256 = "AROIyz7Gh73UM/mJkEPBg5K1qtZ4lGhwwDsJql5Ntus=";
};
phases = [ "installPhase" ];
installPhase = ''
install -m755 -D $src $out/bin/sclrepl
'';
};
in
{
languages.python = {
enable = true;
version = "3.10"; # scallopy requires python 3.10 due to cp310
venv.enable = true;
uv.enable = true;
uv.sync.enable = true;
};
env = {
LD_LIBRARY_PATH = lib.makeLibraryPath [
pkgs.stdenv.cc.cc
pkgs.zlib
pkgs.libGL
pkgs.libGLU
pkgs.wlroots
pkgs.ncurses5
] + ":/run/opengl-driver/lib";
NIX_LD = lib.fileContents "${pkgs.stdenv.cc}/nix-support/dynamic-linker";
CUDA_PATH = "${pkgs.cudatoolkit}";
EXTRA_LDFLAGS = "-L/lib -L${pkgs.linuxPackages.nvidia_x11}/lib";
EXTRA_CCFLAGS = "-I/usr/include";
};
packages = with pkgs; [
scli
sclrepl
zlib
libGL
libGLU
wlroots
ncurses5
];
}
+11
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@@ -0,0 +1,11 @@
inputs:
nixpkgs:
url: github:NixOS/nixpkgs/nixpkgs-unstable
nixpkgs-python:
url: github:cachix/nixpkgs-python
inputs:
nixpkgs:
follows: nixpkgs
nixpkgs:
allow_unfree: true
Generated
-60
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@@ -1,60 +0,0 @@
{
"nodes": {
"nixpkgs": {
"locked": {
"lastModified": 1726053618,
"narHash": "sha256-Xu5EVNdrbJ4XCpVU4moytVTuqoo9LsmQgR8g2BQd9Qc=",
"owner": "NixOS",
"repo": "nixpkgs",
"rev": "0e6a2434a572fd583cac02e142ab0689895e395a",
"type": "github"
},
"original": {
"owner": "NixOS",
"repo": "nixpkgs",
"type": "github"
}
},
"root": {
"inputs": {
"nixpkgs": "nixpkgs",
"utils": "utils"
}
},
"systems": {
"locked": {
"lastModified": 1681028828,
"narHash": "sha256-Vy1rq5AaRuLzOxct8nz4T6wlgyUR7zLU309k9mBC768=",
"owner": "nix-systems",
"repo": "default",
"rev": "da67096a3b9bf56a91d16901293e51ba5b49a27e",
"type": "github"
},
"original": {
"owner": "nix-systems",
"repo": "default",
"type": "github"
}
},
"utils": {
"inputs": {
"systems": "systems"
},
"locked": {
"lastModified": 1710146030,
"narHash": "sha256-SZ5L6eA7HJ/nmkzGG7/ISclqe6oZdOZTNoesiInkXPQ=",
"owner": "numtide",
"repo": "flake-utils",
"rev": "b1d9ab70662946ef0850d488da1c9019f3a9752a",
"type": "github"
},
"original": {
"owner": "numtide",
"repo": "flake-utils",
"type": "github"
}
}
},
"root": "root",
"version": 7
}
-49
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@@ -1,49 +0,0 @@
{
inputs = {
utils.url = "github:numtide/flake-utils";
};
inputs.nixpkgs.url = "github:NixOS/nixpkgs";
outputs = { self, nixpkgs, utils }: utils.lib.eachDefaultSystem (system:
let
pkgs = import nixpkgs {
system = "x86_64-linux";
config = {
allowUnfree = true;
cudaSupport = true;
};
};
in
{
devShell = pkgs.mkShell
{
NIX_LD_LIBRARY_PATH = pkgs.lib.makeLibraryPath [
pkgs.stdenv.cc.cc
pkgs.zlib
pkgs.libGL
pkgs.libGLU
pkgs.wlroots
pkgs.ncurses5
pkgs.linuxKernel.packages.linux_latest_libre.nvidia_x11
];
NIX_LD = pkgs.lib.fileContents "${pkgs.stdenv.cc}/nix-support/dynamic-linker";
buildInputs = with pkgs; [
ruff
ruff-lsp
rye
uv
];
shellHook = ''
export CUDA_PATH=${pkgs.cudatoolkit}
export LD_LIBRARY_PATH=$(nix eval --raw nixpkgs#addOpenGLRunpath.driverLink)/lib
export EXTRA_LDFLAGS="-L/lib -L${pkgs.linuxPackages.nvidia_x11}/lib"
export EXTRA_CCFLAGS="-I/usr/include"
'';
};
}
);
}
+41 -5
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@@ -11,7 +11,7 @@ dependencies = [
"torchvision>=0.19.1",
"wandb>=0.17.9",
"optuna>=4.0.0",
"setuptools>=74.1.2",
"setuptools<70",
"gdown>=5.2.0",
"bpython>=0.24",
"ipython>=8.27.0",
@@ -32,11 +32,23 @@ dependencies = [
"plotly>=5.24.0",
"snoop>=0.4.3",
"scikit-optimize>=0.10.2",
"scallop @ https://github.com/scallop-lang/scallop/releases/download/0.2.4/scallop-0.2.4-py3-none-any.whl ; sys_platform == 'linux' and python_version == '3.10'",
"scallopy @ https://github.com/scallop-lang/scallop/releases/download/0.2.4/scallopy-0.2.4-cp310-cp310-manylinux_2_27_x86_64.whl ; sys_platform == 'linux' and python_version == '3.10'",
"scallopy-ext @ https://github.com/scallop-lang/scallop/releases/download/0.2.4/scallopy_ext-0.2.4-py3-none-any.whl ; sys_platform == 'linux' and python_version == '3.10'",
]
readme = "README.md"
requires-python = ">= 3.8"
requires-python = "==3.10.*"
classifiers = ["Private :: Do Not Upload"]
[[tool.uv.index]]
name = "pytorch"
url = "https://download.pytorch.org/whl/cu121"
explicit = true
[tool.uv.sources]
torch = { index = "pytorch" }
torchvision = { index = "pytorch" }
[project.scripts]
"symbolic-nn-tests" = "symbolic_nn_tests:main"
@@ -44,12 +56,36 @@ classifiers = ["Private :: Do Not Upload"]
requires = ["hatchling"]
build-backend = "hatchling.build"
[tool.rye]
managed = true
dev-dependencies = []
[tool.ruff]
line-length = 100
[tool.ruff.lint]
select = [
"E", # pycodestyle errors
"F", # pyflakes
"I", # isort
"W", # pycodestyle warnings
"C90", # mccabe (cyclomatic complexity)
"B", # flake8-bugbear (good practice/bug prevention)
"C4", # flake8-comprehensions (favors functional style)
"SIM", # flake8-simplify (simplifies code)
"RET", # flake8-return (consistent returns)
"UP", # pyupgrade (modern python syntax)
"RUF", # ruff-specific good practices
]
ignore = []
[tool.ruff.lint.mccabe]
max-complexity = 10
[tool.hatch.metadata]
allow-direct-references = true
[tool.hatch.build.targets.wheel]
packages = ["src/symbolic_nn_tests"]
[dependency-groups]
dev = [
"ruff>=0.15.18",
"ty>=0.0.52",
]
-675
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@@ -1,675 +0,0 @@
# generated by rye
# use `rye lock` or `rye sync` to update this lockfile
#
# last locked with the following flags:
# pre: false
# features: []
# all-features: false
# with-sources: false
# generate-hashes: false
-e file:.
about-time==4.2.1
# via alive-progress
absl-py==2.1.0
# via tensorboard
aenum==3.1.12
# via euporie
aiohappyeyeballs==2.4.0
# via aiohttp
aiohttp==3.10.5
# via fsspec
aiosignal==1.3.1
# via aiohttp
alembic==1.13.2
# via optuna
alive-progress==3.1.5
# via symbolic-nn-tests
anyio==4.4.0
# via httpx
# via jupyter-server
argon2-cffi==23.1.0
# via jupyter-server
argon2-cffi-bindings==21.2.0
# via argon2-cffi
arrow==1.3.0
# via isoduration
asttokens==2.4.1
# via snoop
# via stack-data
async-lru==2.0.4
# via jupyterlab
attrs==24.2.0
# via aiohttp
# via jsonschema
# via referencing
babel==2.16.0
# via jupyterlab-server
beautifulsoup4==4.12.3
# via gdown
# via nbconvert
bleach==6.1.0
# via kaggle
# via nbconvert
# via panel
blessed==1.20.0
# via curtsies
bokeh==3.4.3
# via holoviews
# via hvplot
# via panel
bpython==0.24
# via symbolic-nn-tests
certifi==2024.8.30
# via httpcore
# via httpx
# via kaggle
# via requests
# via sentry-sdk
cffi==1.17.1
# via argon2-cffi-bindings
charset-normalizer==3.3.2
# via requests
cheap-repr==0.5.2
# via snoop
click==8.1.7
# via typer
# via wandb
colorcet==3.1.0
# via holoviews
# via hvplot
colorlog==6.8.2
# via optuna
comm==0.2.2
# via ipykernel
# via ipywidgets
contourpy==1.3.0
# via bokeh
# via matplotlib
curtsies==0.4.2
# via bpython
cwcwidth==0.1.9
# via bpython
# via curtsies
cycler==0.12.1
# via matplotlib
dataclasses-json==0.6.7
# via periodic-table-dataclasses
debugpy==1.8.5
# via ipykernel
decorator==5.1.1
# via ipython
defusedxml==0.7.1
# via nbconvert
docker-pycreds==0.4.0
# via wandb
euporie==2.8.2
# via symbolic-nn-tests
executing==2.1.0
# via snoop
# via stack-data
fastjsonschema==2.20.0
# via euporie
# via nbformat
filelock==3.16.0
# via gdown
# via torch
# via triton
flatlatex==0.15
# via euporie
fonttools==4.53.1
# via matplotlib
fqdn==1.5.1
# via jsonschema
frozenlist==1.4.1
# via aiohttp
# via aiosignal
fsspec==2024.9.0
# via euporie
# via lightning
# via pytorch-lightning
# via torch
# via universal-pathlib
gdown==5.2.0
# via symbolic-nn-tests
gitdb==4.0.11
# via gitpython
gitpython==3.1.43
# via wandb
grapheme==0.6.0
# via alive-progress
greenlet==3.1.0
# via bpython
# via sqlalchemy
grpcio==1.66.1
# via tensorboard
h11==0.14.0
# via httpcore
holoviews==1.19.1
# via hvplot
httpcore==1.0.5
# via httpx
httpx==0.27.2
# via jupyterlab
hvplot==0.10.0
# via symbolic-nn-tests
idna==3.8
# via anyio
# via httpx
# via jsonschema
# via requests
# via yarl
imagesize==1.4.1
# via euporie
ipykernel==6.29.5
# via jupyter
# via jupyter-console
# via jupyterlab
# via symbolic-nn-tests
ipython==8.27.0
# via ipykernel
# via ipywidgets
# via jupyter-console
# via symbolic-nn-tests
ipywidgets==8.1.5
# via jupyter
isoduration==20.11.0
# via jsonschema
jedi==0.19.1
# via ipython
jinja2==3.1.4
# via bokeh
# via jupyter-server
# via jupyterlab
# via jupyterlab-server
# via nbconvert
# via torch
joblib==1.4.2
# via scikit-learn
# via scikit-optimize
json5==0.9.25
# via jupyterlab-server
jsonpointer==3.0.0
# via jsonschema
jsonschema==4.23.0
# via jupyter-events
# via jupyterlab-server
# via nbformat
jsonschema-specifications==2023.12.1
# via jsonschema
jupyter==1.1.1
# via symbolic-nn-tests
jupyter-client==8.6.2
# via euporie
# via ipykernel
# via jupyter-console
# via jupyter-server
# via nbclient
jupyter-console==6.6.3
# via jupyter
jupyter-core==5.7.2
# via ipykernel
# via jupyter-client
# via jupyter-console
# via jupyter-server
# via jupyterlab
# via nbclient
# via nbconvert
# via nbformat
jupyter-events==0.10.0
# via jupyter-server
jupyter-lsp==2.2.5
# via jupyterlab
jupyter-server==2.14.2
# via jupyter-lsp
# via jupyterlab
# via jupyterlab-server
# via notebook
# via notebook-shim
jupyter-server-terminals==0.5.3
# via jupyter-server
jupyterlab==4.2.5
# via jupyter
# via notebook
jupyterlab-pygments==0.3.0
# via nbconvert
jupyterlab-server==2.27.3
# via jupyterlab
# via notebook
jupyterlab-widgets==3.0.13
# via ipywidgets
jupytext==1.16.4
# via euporie
kaggle==1.6.17
# via symbolic-nn-tests
kiwisolver==1.4.7
# via matplotlib
lightning==2.4.0
# via symbolic-nn-tests
lightning-utilities==0.11.7
# via lightning
# via pytorch-lightning
# via torchmetrics
linkify-it-py==1.0.3
# via euporie
# via panel
loguru==0.7.2
# via symbolic-nn-tests
mako==1.3.5
# via alembic
markdown==3.7
# via panel
# via tensorboard
markdown-it-py==2.1.0
# via euporie
# via jupytext
# via mdit-py-plugins
# via panel
# via rich
markupsafe==2.1.5
# via jinja2
# via mako
# via nbconvert
# via werkzeug
marshmallow==3.22.0
# via dataclasses-json
matplotlib==3.9.2
# via matplotlib-backend-kitty
matplotlib-backend-kitty==2.1.2
# via symbolic-nn-tests
matplotlib-inline==0.1.7
# via ipykernel
# via ipython
mdit-py-plugins==0.3.5
# via euporie
# via jupytext
# via panel
mdurl==0.1.2
# via markdown-it-py
mistune==3.0.2
# via nbconvert
mpmath==1.3.0
# via sympy
multidict==6.1.0
# via aiohttp
# via yarl
mypy-extensions==1.0.0
# via typing-inspect
nbclient==0.10.0
# via nbconvert
nbconvert==7.16.4
# via jupyter
# via jupyter-server
nbformat==5.10.4
# via euporie
# via jupyter-server
# via jupytext
# via nbclient
# via nbconvert
nest-asyncio==1.6.0
# via ipykernel
networkx==3.3
# via torch
notebook==7.2.2
# via jupyter
notebook-shim==0.2.4
# via jupyterlab
# via notebook
numpy==2.1.1
# via bokeh
# via contourpy
# via holoviews
# via hvplot
# via matplotlib
# via optuna
# via pandas
# via pyarrow
# via scikit-learn
# via scikit-optimize
# via scipy
# via tensorboard
# via torchmetrics
# via torchvision
nvidia-cublas-cu12==12.1.3.1
# via nvidia-cudnn-cu12
# via nvidia-cusolver-cu12
# via torch
nvidia-cuda-cupti-cu12==12.1.105
# via torch
nvidia-cuda-nvrtc-cu12==12.1.105
# via torch
nvidia-cuda-runtime-cu12==12.1.105
# via torch
nvidia-cudnn-cu12==9.1.0.70
# via torch
nvidia-cufft-cu12==11.0.2.54
# via torch
nvidia-curand-cu12==10.3.2.106
# via torch
nvidia-cusolver-cu12==11.4.5.107
# via torch
nvidia-cusparse-cu12==12.1.0.106
# via nvidia-cusolver-cu12
# via torch
nvidia-nccl-cu12==2.20.5
# via torch
nvidia-nvjitlink-cu12==12.6.68
# via nvidia-cusolver-cu12
# via nvidia-cusparse-cu12
nvidia-nvtx-cu12==12.1.105
# via torch
optuna==4.0.0
# via symbolic-nn-tests
overrides==7.7.0
# via jupyter-server
packaging==24.1
# via bokeh
# via holoviews
# via hvplot
# via ipykernel
# via jupyter-server
# via jupyterlab
# via jupyterlab-server
# via jupytext
# via lightning
# via lightning-utilities
# via marshmallow
# via matplotlib
# via nbconvert
# via optuna
# via plotly
# via pytorch-lightning
# via scikit-optimize
# via tensorboard
# via torchmetrics
pandas==2.2.2
# via bokeh
# via holoviews
# via hvplot
# via panel
pandocfilters==1.5.1
# via nbconvert
panel==1.4.5
# via holoviews
# via hvplot
param==2.1.1
# via holoviews
# via hvplot
# via panel
# via pyviz-comms
parso==0.8.4
# via jedi
periodic-table-dataclasses==1.0
# via symbolic-nn-tests
pexpect==4.9.0
# via ipython
pillow==10.4.0
# via bokeh
# via euporie
# via matplotlib
# via timg
# via torchvision
platformdirs==3.11.0
# via euporie
# via jupyter-core
# via wandb
plotly==5.24.0
# via symbolic-nn-tests
polars==1.6.0
# via symbolic-nn-tests
prometheus-client==0.20.0
# via jupyter-server
prompt-toolkit==3.0.47
# via euporie
# via ipython
# via jupyter-console
protobuf==5.28.0
# via tensorboard
# via wandb
psutil==6.0.0
# via ipykernel
# via wandb
ptyprocess==0.7.0
# via pexpect
# via terminado
pure-eval==0.2.3
# via stack-data
pyaml==24.7.0
# via scikit-optimize
pyarrow==17.0.0
# via symbolic-nn-tests
pycparser==2.22
# via cffi
pygments==2.18.0
# via bpython
# via euporie
# via ipython
# via jupyter-console
# via nbconvert
# via rich
# via snoop
pyparsing==3.1.4
# via matplotlib
pyperclip==1.9.0
# via euporie
pysocks==1.7.1
# via requests
python-dateutil==2.9.0.post0
# via arrow
# via jupyter-client
# via kaggle
# via matplotlib
# via pandas
python-json-logger==2.0.7
# via jupyter-events
python-slugify==8.0.4
# via kaggle
pytorch-lightning==2.4.0
# via lightning
pytz==2024.2
# via pandas
pyviz-comms==3.0.3
# via holoviews
# via panel
pyxdg==0.28
# via bpython
pyyaml==6.0.2
# via bokeh
# via jupyter-events
# via jupytext
# via lightning
# via optuna
# via pyaml
# via pytorch-lightning
# via wandb
pyzmq==26.2.0
# via ipykernel
# via jupyter-client
# via jupyter-console
# via jupyter-server
referencing==0.35.1
# via jsonschema
# via jsonschema-specifications
# via jupyter-events
regex==2024.7.24
# via flatlatex
requests==2.32.3
# via bpython
# via gdown
# via jupyterlab-server
# via kaggle
# via panel
# via wandb
rfc3339-validator==0.1.4
# via jsonschema
# via jupyter-events
rfc3986-validator==0.1.1
# via jsonschema
# via jupyter-events
rich==13.3.1
# via typer
rpds-py==0.20.0
# via jsonschema
# via referencing
safetensors==0.4.5
# via symbolic-nn-tests
scikit-learn==1.5.1
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scikit-optimize==0.10.2
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scipy==1.14.1
# via scikit-learn
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send2trash==1.8.3
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sentry-sdk==2.14.0
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setproctitle==1.3.3
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setuptools==74.1.2
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shellingham==1.5.4
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six==1.16.0
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# via python-dateutil
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sixelcrop==0.1.7
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smmap==5.0.1
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sniffio==1.3.1
# via anyio
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snoop==0.4.3
# via symbolic-nn-tests
soupsieve==2.6
# via beautifulsoup4
sqlalchemy==2.0.34
# via alembic
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stack-data==0.6.3
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sympy==1.13.2
# via torch
tenacity==9.0.0
# via plotly
tensorboard==2.17.1
# via symbolic-nn-tests
tensorboard-data-server==0.7.2
# via tensorboard
terminado==0.18.1
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# via jupyter-server-terminals
text-unidecode==1.3
# via python-slugify
threadpoolctl==3.5.0
# via scikit-learn
timg==1.1.6
# via euporie
tinycss2==1.3.0
# via nbconvert
torch==2.4.1
# via lightning
# via pytorch-lightning
# via symbolic-nn-tests
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torchmetrics==1.4.1
# via lightning
# via pytorch-lightning
torchvision==0.19.1
# via symbolic-nn-tests
tornado==6.4.1
# via bokeh
# via ipykernel
# via jupyter-client
# via jupyter-server
# via jupyterlab
# via notebook
# via terminado
tqdm==4.66.5
# via gdown
# via kaggle
# via lightning
# via optuna
# via panel
# via pytorch-lightning
traitlets==5.14.3
# via comm
# via ipykernel
# via ipython
# via ipywidgets
# via jupyter-client
# via jupyter-console
# via jupyter-core
# via jupyter-events
# via jupyter-server
# via jupyterlab
# via matplotlib-inline
# via nbclient
# via nbconvert
# via nbformat
triton==3.0.0
# via torch
typer==0.12.5
# via symbolic-nn-tests
types-python-dateutil==2.9.0.20240906
# via arrow
typing-extensions==4.12.2
# via alembic
# via euporie
# via lightning
# via lightning-utilities
# via panel
# via pytorch-lightning
# via sqlalchemy
# via torch
# via typer
# via typing-inspect
typing-inspect==0.9.0
# via dataclasses-json
tzdata==2024.1
# via pandas
uc-micro-py==1.0.3
# via linkify-it-py
universal-pathlib==0.2.5
# via euporie
uri-template==1.3.0
# via jsonschema
urllib3==2.2.2
# via kaggle
# via requests
# via sentry-sdk
wandb==0.17.9
# via symbolic-nn-tests
wcwidth==0.2.13
# via blessed
# via prompt-toolkit
webcolors==24.8.0
# via jsonschema
webencodings==0.5.1
# via bleach
# via tinycss2
websocket-client==1.8.0
# via jupyter-server
werkzeug==3.0.4
# via tensorboard
widgetsnbextension==4.0.13
# via ipywidgets
xyzservices==2024.9.0
# via bokeh
# via panel
yarl==1.11.1
# via aiohttp
-675
View File
@@ -1,675 +0,0 @@
# generated by rye
# use `rye lock` or `rye sync` to update this lockfile
#
# last locked with the following flags:
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about-time==4.2.1
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absl-py==2.1.0
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aenum==3.1.12
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aiohappyeyeballs==2.4.0
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aiohttp==3.10.5
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aiosignal==1.3.1
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alembic==1.13.2
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alive-progress==3.1.5
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anyio==4.4.0
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argon2-cffi==23.1.0
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argon2-cffi-bindings==21.2.0
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arrow==1.3.0
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attrs==24.2.0
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babel==2.16.0
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beautifulsoup4==4.12.3
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bleach==6.1.0
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blessed==1.20.0
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bokeh==3.4.3
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bpython==0.24
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certifi==2024.8.30
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cffi==1.17.1
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charset-normalizer==3.3.2
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cheap-repr==0.5.2
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click==8.1.7
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colorcet==3.1.0
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colorlog==6.8.2
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comm==0.2.2
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contourpy==1.3.0
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curtsies==0.4.2
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cwcwidth==0.1.9
# via bpython
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cycler==0.12.1
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dataclasses-json==0.6.7
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debugpy==1.8.5
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decorator==5.1.1
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defusedxml==0.7.1
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docker-pycreds==0.4.0
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euporie==2.8.2
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executing==2.1.0
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fastjsonschema==2.20.0
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filelock==3.16.0
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flatlatex==0.15
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fonttools==4.53.1
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fqdn==1.5.1
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frozenlist==1.4.1
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fsspec==2024.9.0
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# via pytorch-lightning
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gdown==5.2.0
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gitdb==4.0.11
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gitpython==3.1.43
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grapheme==0.6.0
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greenlet==3.1.0
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grpcio==1.66.1
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h11==0.14.0
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holoviews==1.19.1
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httpcore==1.0.5
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httpx==0.27.2
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hvplot==0.10.0
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idna==3.8
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imagesize==1.4.1
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ipykernel==6.29.5
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ipython==8.27.0
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ipywidgets==8.1.5
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isoduration==20.11.0
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jedi==0.19.1
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jinja2==3.1.4
# via bokeh
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# via jupyterlab-server
# via nbconvert
# via torch
joblib==1.4.2
# via scikit-learn
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json5==0.9.25
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jsonpointer==3.0.0
# via jsonschema
jsonschema==4.23.0
# via jupyter-events
# via jupyterlab-server
# via nbformat
jsonschema-specifications==2023.12.1
# via jsonschema
jupyter==1.1.1
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jupyter-client==8.6.2
# via euporie
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# via jupyter-console
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jupyter-console==6.6.3
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jupyter-core==5.7.2
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# via jupyter-client
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# via jupyter-server
# via jupyterlab
# via nbclient
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jupyter-events==0.10.0
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jupyter-lsp==2.2.5
# via jupyterlab
jupyter-server==2.14.2
# via jupyter-lsp
# via jupyterlab
# via jupyterlab-server
# via notebook
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jupyter-server-terminals==0.5.3
# via jupyter-server
jupyterlab==4.2.5
# via jupyter
# via notebook
jupyterlab-pygments==0.3.0
# via nbconvert
jupyterlab-server==2.27.3
# via jupyterlab
# via notebook
jupyterlab-widgets==3.0.13
# via ipywidgets
jupytext==1.16.4
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kaggle==1.6.17
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kiwisolver==1.4.7
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lightning==2.4.0
# via symbolic-nn-tests
lightning-utilities==0.11.7
# via lightning
# via pytorch-lightning
# via torchmetrics
linkify-it-py==1.0.3
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loguru==0.7.2
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mako==1.3.5
# via alembic
markdown==3.7
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markdown-it-py==2.1.0
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markupsafe==2.1.5
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# via nbconvert
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marshmallow==3.22.0
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matplotlib==3.9.2
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matplotlib-backend-kitty==2.1.2
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matplotlib-inline==0.1.7
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mdit-py-plugins==0.3.5
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mdurl==0.1.2
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mistune==3.0.2
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mpmath==1.3.0
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multidict==6.1.0
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mypy-extensions==1.0.0
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nbclient==0.10.0
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nbconvert==7.16.4
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nbformat==5.10.4
# via euporie
# via jupyter-server
# via jupytext
# via nbclient
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nest-asyncio==1.6.0
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networkx==3.3
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notebook==7.2.2
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notebook-shim==0.2.4
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numpy==2.1.1
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# via scipy
# via tensorboard
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nvidia-cublas-cu12==12.1.3.1
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nvidia-cuda-cupti-cu12==12.1.105
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nvidia-cuda-nvrtc-cu12==12.1.105
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nvidia-cuda-runtime-cu12==12.1.105
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nvidia-cudnn-cu12==9.1.0.70
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nvidia-cufft-cu12==11.0.2.54
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nvidia-curand-cu12==10.3.2.106
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nvidia-cusolver-cu12==11.4.5.107
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nvidia-cusparse-cu12==12.1.0.106
# via nvidia-cusolver-cu12
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nvidia-nccl-cu12==2.20.5
# via torch
nvidia-nvjitlink-cu12==12.6.68
# via nvidia-cusolver-cu12
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nvidia-nvtx-cu12==12.1.105
# via torch
optuna==4.0.0
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overrides==7.7.0
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packaging==24.1
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# via jupyter-server
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# via jupytext
# via lightning
# via lightning-utilities
# via marshmallow
# via matplotlib
# via nbconvert
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# via plotly
# via pytorch-lightning
# via scikit-optimize
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pandas==2.2.2
# via bokeh
# via holoviews
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# via panel
pandocfilters==1.5.1
# via nbconvert
panel==1.4.5
# via holoviews
# via hvplot
param==2.1.1
# via holoviews
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# via panel
# via pyviz-comms
parso==0.8.4
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periodic-table-dataclasses==1.0
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pexpect==4.9.0
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pillow==10.4.0
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platformdirs==3.11.0
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plotly==5.24.0
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polars==1.6.0
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prometheus-client==0.20.0
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prompt-toolkit==3.0.47
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protobuf==5.28.0
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psutil==6.0.0
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ptyprocess==0.7.0
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# via terminado
pure-eval==0.2.3
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pyaml==24.7.0
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pyarrow==17.0.0
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pycparser==2.22
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pygments==2.18.0
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pyparsing==3.1.4
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pyperclip==1.9.0
# via euporie
pysocks==1.7.1
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python-dateutil==2.9.0.post0
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python-json-logger==2.0.7
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python-slugify==8.0.4
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pytorch-lightning==2.4.0
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pytz==2024.2
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pyviz-comms==3.0.3
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pyxdg==0.28
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pyyaml==6.0.2
# via bokeh
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# via optuna
# via pyaml
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pyzmq==26.2.0
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referencing==0.35.1
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regex==2024.7.24
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requests==2.32.3
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# via gdown
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# via wandb
rfc3339-validator==0.1.4
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rfc3986-validator==0.1.1
# via jsonschema
# via jupyter-events
rich==13.3.1
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rpds-py==0.20.0
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# via referencing
safetensors==0.4.5
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scikit-learn==1.5.1
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scikit-optimize==0.10.2
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scipy==1.14.1
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# via scikit-optimize
send2trash==1.8.3
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sentry-sdk==2.14.0
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setproctitle==1.3.3
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setuptools==74.1.2
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# via symbolic-nn-tests
# via tensorboard
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# via wandb
shellingham==1.5.4
# via typer
six==1.16.0
# via asttokens
# via bleach
# via blessed
# via docker-pycreds
# via kaggle
# via python-dateutil
# via rfc3339-validator
# via snoop
# via tensorboard
sixelcrop==0.1.7
# via euporie
smmap==5.0.1
# via gitdb
sniffio==1.3.1
# via anyio
# via httpx
snoop==0.4.3
# via symbolic-nn-tests
soupsieve==2.6
# via beautifulsoup4
sqlalchemy==2.0.34
# via alembic
# via optuna
stack-data==0.6.3
# via ipython
sympy==1.13.2
# via torch
tenacity==9.0.0
# via plotly
tensorboard==2.17.1
# via symbolic-nn-tests
tensorboard-data-server==0.7.2
# via tensorboard
terminado==0.18.1
# via jupyter-server
# via jupyter-server-terminals
text-unidecode==1.3
# via python-slugify
threadpoolctl==3.5.0
# via scikit-learn
timg==1.1.6
# via euporie
tinycss2==1.3.0
# via nbconvert
torch==2.4.1
# via lightning
# via pytorch-lightning
# via symbolic-nn-tests
# via torchmetrics
# via torchvision
torchmetrics==1.4.1
# via lightning
# via pytorch-lightning
torchvision==0.19.1
# via symbolic-nn-tests
tornado==6.4.1
# via bokeh
# via ipykernel
# via jupyter-client
# via jupyter-server
# via jupyterlab
# via notebook
# via terminado
tqdm==4.66.5
# via gdown
# via kaggle
# via lightning
# via optuna
# via panel
# via pytorch-lightning
traitlets==5.14.3
# via comm
# via ipykernel
# via ipython
# via ipywidgets
# via jupyter-client
# via jupyter-console
# via jupyter-core
# via jupyter-events
# via jupyter-server
# via jupyterlab
# via matplotlib-inline
# via nbclient
# via nbconvert
# via nbformat
triton==3.0.0
# via torch
typer==0.12.5
# via symbolic-nn-tests
types-python-dateutil==2.9.0.20240906
# via arrow
typing-extensions==4.12.2
# via alembic
# via euporie
# via lightning
# via lightning-utilities
# via panel
# via pytorch-lightning
# via sqlalchemy
# via torch
# via typer
# via typing-inspect
typing-inspect==0.9.0
# via dataclasses-json
tzdata==2024.1
# via pandas
uc-micro-py==1.0.3
# via linkify-it-py
universal-pathlib==0.2.5
# via euporie
uri-template==1.3.0
# via jsonschema
urllib3==2.2.2
# via kaggle
# via requests
# via sentry-sdk
wandb==0.17.9
# via symbolic-nn-tests
wcwidth==0.2.13
# via blessed
# via prompt-toolkit
webcolors==24.8.0
# via jsonschema
webencodings==0.5.1
# via bleach
# via tinycss2
websocket-client==1.8.0
# via jupyter-server
werkzeug==3.0.4
# via tensorboard
widgetsnbextension==4.0.13
# via ipywidgets
xyzservices==2024.9.0
# via bokeh
# via panel
yarl==1.11.1
# via aiohttp
Generated
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