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poetry.lock
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# This file is automatically @generated by Poetry 1.4.0 and should not be changed by hand.
[[package]]
name = "aif360-fork2"
version = "0.5.0"
description = "IBM AI Fairness 360"
category = "main"
optional = false
python-versions = ">=3.7"
files = [
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matplotlib = "*"
numpy = ">=1.16"
pandas = ">=0.24.0"
scikit-learn = ">=1.0"
scipy = ">=1.2.0"
[package.extras]
adversarialdebiasing = ["tensorflow (>=1.13.1)"]
all = ["BlackBoxAuditing", "adversarial-robustness-toolbox (>=1.0.0)", "cvxpy (>=1.0)", "fairlearn (>=0.7,<1.0)", "igraph[plotting]", "ipympl", "jinja2 (<3.1.0)", "jupyter", "lightgbm", "lime", "pytest (>=3.5)", "rpy2", "seaborn", "sphinx (<2)", "sphinx-rtd-theme", "tempeh", "tensorflow (>=1.13.1)", "torch", "tqdm"]
art = ["adversarial-robustness-toolbox (>=1.0.0)"]
disparateimpactremover = ["BlackBoxAuditing"]
docs = ["jinja2 (<3.1.0)", "sphinx (<2)", "sphinx-rtd-theme"]
fairadapt = ["rpy2"]
lawschoolgpa = ["tempeh"]
lfr = ["torch"]
lime = ["lime"]
notebooks = ["igraph[plotting]", "ipympl", "jupyter", "lightgbm", "seaborn", "tqdm"]
optimpreproc = ["cvxpy (>=1.0)"]
reductions = ["fairlearn (>=0.7,<1.0)"]
tests = ["BlackBoxAuditing", "adversarial-robustness-toolbox (>=1.0.0)", "cvxpy (>=1.0)", "fairlearn (>=0.7,<1.0)", "igraph[plotting]", "ipympl", "jupyter", "lightgbm", "lime", "pytest (>=3.5)", "rpy2", "seaborn", "tempeh", "tensorflow (>=1.13.1)", "torch", "tqdm"]
[[package]]
name = "blackboxauditing"
version = "0.1.54"
description = "Sample Implementation of Gradient Feature Auditing (GFA)"
category = "main"
optional = false
python-versions = "*"
files = [
{file = "BlackBoxAuditing-0.1.54.tar.gz", hash = "sha256:02824682f4ac3a89e606d3dc7e99481d09e82655513511e9406268f8b17be3d6"},
]
[package.dependencies]
matplotlib = "*"
networkx = "*"
numpy = "*"
pandas = "*"
[[package]]
name = "colorama"
version = "0.4.6"
description = "Cross-platform colored terminal text."
category = "main"
optional = false
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
files = [
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]
[[package]]
name = "contourpy"
version = "1.1.0"
description = "Python library for calculating contours of 2D quadrilateral grids"
category = "main"
optional = false
python-versions = ">=3.8"
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numpy = ">=1.16"
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