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h-jootensorflower-gardener
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Automated Code Change
PiperOrigin-RevId: 861468385
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spinoffs/autobnn/autobnn/BUILD

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@@ -27,6 +27,7 @@ package(
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py_library(
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name = "autobnn.jax",
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srcs = ["__init__.py"],
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strict_deps = False,
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deps = [
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":bnn",
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":bnn_tree",
@@ -44,6 +45,7 @@ py_library(
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py_library(
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name = "bnn",
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srcs = ["bnn.py"],
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strict_deps = False,
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deps = [
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":likelihoods",
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# flax:core dep,
@@ -70,6 +72,7 @@ py_test(
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py_library(
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name = "bnn_tree",
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srcs = ["bnn_tree.py"],
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strict_deps = False,
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deps = [
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":bnn",
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":kernels",
@@ -99,6 +102,7 @@ py_test(
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py_library(
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name = "estimators",
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srcs = ["estimators.py"],
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strict_deps = False,
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deps = [
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":bnn",
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":likelihoods",
@@ -126,6 +130,7 @@ py_test(
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py_library(
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name = "kernels",
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srcs = ["kernels.py"],
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strict_deps = False,
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deps = [
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":bnn",
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# flax dep,
@@ -155,6 +160,7 @@ py_test(
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py_library(
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name = "likelihoods",
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srcs = ["likelihoods.py"],
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strict_deps = False,
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deps = [
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# flax:core dep,
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# jax dep,
@@ -184,6 +190,7 @@ py_test(
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py_library(
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name = "models",
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srcs = ["models.py"],
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strict_deps = False,
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deps = [
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":bnn",
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":bnn_tree",
@@ -212,6 +219,7 @@ py_test(
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py_library(
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name = "operators",
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srcs = ["operators.py"],
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strict_deps = False,
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deps = [
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":bnn",
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":likelihoods",
@@ -250,6 +258,7 @@ py_test(
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py_library(
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name = "training_util",
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srcs = ["training_util.py"],
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strict_deps = False,
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deps = [
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":bnn",
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":util",
@@ -283,6 +292,7 @@ py_test(
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py_library(
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name = "util",
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srcs = ["util.py"],
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strict_deps = False,
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deps = [
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":bnn",
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# jax dep,

spinoffs/fun_mc/fun_mc/dynamic/backend_jax/BUILD

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@@ -26,11 +26,13 @@ package(
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py_library(
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name = "backend_jax",
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srcs = ["__init__.py"],
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strict_deps = False,
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)
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py_library(
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name = "util",
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srcs = ["util.py"],
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strict_deps = False,
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deps = [
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# jaxtyping dep,
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# numpy dep,
@@ -40,6 +42,7 @@ py_library(
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py_library(
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name = "backend",
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srcs = ["backend.py"],
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strict_deps = False,
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deps = [
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":util",
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],

spinoffs/fun_mc/fun_mc/dynamic/backend_tensorflow/BUILD

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@@ -26,6 +26,7 @@ package(
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py_library(
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name = "util",
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srcs = ["util.py"],
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strict_deps = False,
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deps = [
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# numpy dep,
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],
@@ -34,6 +35,7 @@ py_library(
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py_library(
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name = "backend",
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srcs = ["backend.py"],
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strict_deps = False,
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deps = [
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":util",
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],

spinoffs/inference_gym/inference_gym/BUILD

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@@ -42,6 +42,7 @@ py_library(
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py_library(
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name = "using_numpy",
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srcs = ["using_numpy.py"],
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strict_deps = False,
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visibility = ["//visibility:public"],
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deps = [
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":backend_numpy",
@@ -54,6 +55,7 @@ py_library(
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py_library(
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name = "using_jax",
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srcs = ["using_jax.py"],
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strict_deps = False,
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visibility = ["//visibility:public"],
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deps = [
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":backend_jax",
@@ -67,6 +69,7 @@ py_library(
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py_library(
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name = "using_tensorflow",
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srcs = ["using_tensorflow.py"],
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strict_deps = False,
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visibility = ["//visibility:public"],
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deps = [
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":backend_tensorflow",

spinoffs/inference_gym/inference_gym/internal/BUILD

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@@ -61,6 +61,7 @@ py_test(
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py_library(
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name = "data",
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srcs = ["data.py"],
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strict_deps = False,
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deps = [
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# numpy dep,
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"//inference_gym/internal/datasets",

spinoffs/inference_gym/inference_gym/targets/BUILD

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@@ -62,6 +62,7 @@ py_library(
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py_library(
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name = "banana",
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srcs = ["banana.py"],
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strict_deps = False,
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deps = [
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":model",
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# absl/testing:parameterized dep,
@@ -85,6 +86,7 @@ py_test(
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py_library(
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name = "bayesian_model",
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srcs = ["bayesian_model.py"],
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strict_deps = False,
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deps = [
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":model",
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"//inference_gym/internal:ground_truth_encoding",
@@ -108,6 +110,7 @@ py_test(
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py_library(
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name = "brownian_motion",
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srcs = ["brownian_motion.py"],
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strict_deps = False,
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deps = [
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":bayesian_model",
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":model",
@@ -136,6 +139,7 @@ py_test(
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py_library(
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name = "dirichlet",
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srcs = ["dirichlet.py"],
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strict_deps = False,
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deps = [
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":model",
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"//tensorflow_probability:numpy",
@@ -159,6 +163,7 @@ py_test(
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py_library(
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name = "eight_schools",
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srcs = ["eight_schools.py"],
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strict_deps = False,
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deps = [
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":model",
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# numpy dep,
@@ -182,6 +187,7 @@ py_test(
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py_library(
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name = "ill_conditioned_gaussian",
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srcs = ["ill_conditioned_gaussian.py"],
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strict_deps = False,
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deps = [
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":model",
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# numpy dep,
@@ -204,6 +210,7 @@ py_test(
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py_library(
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name = "item_response_theory",
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srcs = ["item_response_theory.py"],
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strict_deps = False,
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deps = [
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":bayesian_model",
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":model",
@@ -231,6 +238,7 @@ py_test(
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py_library(
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name = "log_gaussian_cox_process",
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srcs = ["log_gaussian_cox_process.py"],
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strict_deps = False,
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deps = [
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":bayesian_model",
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":model",
@@ -259,6 +267,7 @@ py_test(
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py_library(
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name = "logistic_regression",
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srcs = ["logistic_regression.py"],
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strict_deps = False,
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deps = [
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":bayesian_model",
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":model",
@@ -286,6 +295,7 @@ py_test(
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py_library(
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name = "lorenz_system",
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srcs = ["lorenz_system.py"],
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strict_deps = False,
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deps = [
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":bayesian_model",
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":model",
@@ -315,6 +325,7 @@ py_test(
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py_library(
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name = "model",
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srcs = ["model.py"],
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strict_deps = False,
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deps = [
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"//inference_gym/internal:ground_truth_encoding",
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],
@@ -337,6 +348,7 @@ py_test(
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py_library(
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name = "neals_funnel",
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srcs = ["neals_funnel.py"],
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strict_deps = False,
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deps = [
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":model",
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# numpy dep,
@@ -359,6 +371,7 @@ py_test(
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py_library(
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name = "non_identifiable_quartic",
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srcs = ["non_identifiable_quartic.py"],
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strict_deps = False,
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deps = [
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":bayesian_model",
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":model",
@@ -381,6 +394,7 @@ py_test(
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py_library(
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name = "plasma_spectroscopy",
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srcs = ["plasma_spectroscopy.py"],
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strict_deps = False,
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deps = [
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":bayesian_model",
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":model",
@@ -406,6 +420,7 @@ py_test(
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py_library(
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name = "probit_regression",
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srcs = ["probit_regression.py"],
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strict_deps = False,
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deps = [
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":bayesian_model",
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":model",
@@ -433,6 +448,7 @@ py_test(
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py_library(
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name = "radon_contextual_effects",
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srcs = ["radon_contextual_effects.py"],
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strict_deps = False,
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deps = [
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":bayesian_model",
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":model",
@@ -463,6 +479,7 @@ py_test(
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py_library(
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name = "sparse_logistic_regression",
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srcs = ["sparse_logistic_regression.py"],
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strict_deps = False,
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deps = [
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":bayesian_model",
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":model",
@@ -490,6 +507,7 @@ py_test(
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py_library(
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name = "stochastic_volatility",
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srcs = ["stochastic_volatility.py"],
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strict_deps = False,
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deps = [
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":bayesian_model",
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":model",
@@ -518,6 +536,7 @@ py_test(
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py_library(
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name = "vector_model",
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srcs = ["vector_model.py"],
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strict_deps = False,
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deps = [
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":model",
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],
@@ -541,6 +560,7 @@ py_test(
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py_library(
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name = "vectorized_stochastic_volatility",
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srcs = ["vectorized_stochastic_volatility.py"],
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strict_deps = False,
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deps = [
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":bayesian_model",
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":model",

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