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id: 1738
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unit: def wrapped_init()
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unit: def _params_event_ndims()
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unit: def _cdf()
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id: 1843
unit: def _mean()
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unit: def _sample_control_dependencies()
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id: 1845
unit: def _batch_shape()
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id: 1846
unit: def _kl_joint_joint()
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unit: def _parameter_control_dependencies()
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id: 1848
unit: def kl_gamma_gamma()
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id: 1849
unit: def _cdf()
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unit: def _cdf()
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id: 1851
unit: def _von_mises_sample_jvp()
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id: 1852
unit: def quadrature_scheme_lognormal_gauss_hermite()
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id: 1853
unit: def _default_event_space_bijector()
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id: 1854
unit: def _registered_kl()
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id: 1855
unit: def _kl_moyal_moyal()
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id: 1856
unit: def _parameter_properties()
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unit: def _parameter_control_dependencies()
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id: 1858
unit: def _log_prob()
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id: 1859
unit: def _parameter_control_dependencies()
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id: 1860
unit: def _parameter_properties()
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id: 1861
unit: def _sample_n()
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id: 1862
unit: def _log_prob()
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id: 1863
unit: def _assert_same_shape()
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id: 1864
unit: def _markov_chain_log_prob_ratio()
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id: 1865
unit: def _log_prob()
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id: 1866
unit: def _parameter_properties()
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id: 1867
unit: def _parameter_control_dependencies()
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id: 1868
unit: def _parameter_control_dependencies()
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id: 1869
unit: def experimental_from_mean_concentration()
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id: 1870
unit: def _sample_control_dependencies()
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id: 1871
unit: def _log_moment()
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id: 1872
unit: def _variance()
file: tensorflow_probability/python/distributions/kumaraswamy.py
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id: 1873
unit: def _extend_support()
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id: 1874
unit: def _parameter_control_dependencies()
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id: 1875
unit: def _maybe_broadcast_distribution_batch_shape()
file: tensorflow_probability/python/distributions/transformed_distribution.py
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id: 1876
unit: def _sample_n()
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id: 1877
unit: def _parameter_control_dependencies()
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id: 1878
unit: def _event_shape_tensor()
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id: 1879
unit: def _event_shape()
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id: 1880
unit: def _sample_n()
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id: 1881
unit: def _kl_weibull_gamma()
file: tensorflow_probability/python/distributions/weibull.py
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id: 1882
unit: def _sample_n()
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number of parameters: 3

id: 1883
unit: def _random_poisson_cpu()
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id: 1884
unit: def _stddev()
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number of parameters: 1

id: 1885
unit: def _sample_n()
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number of parameters: 3

id: 1886
unit: def _entropy()
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number of parameters: 1

id: 1887
unit: def _print()
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number of parameters: 2

id: 1888
unit: def terminate_if_not_finite()
file: tensorflow_probability/python/optimizer/bfgs_utils.py
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number of parameters: 3

id: 1889
unit: def _restrict_along_direction()
file: tensorflow_probability/python/optimizer/bfgs_utils.py
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number of parameters: 3

id: 1890
unit: def __init__()
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id: 1891
unit: def __init__()
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number of parameters: 3

id: 1892
unit: def from_shape()
file: tensorflow_probability/python/experimental/stats/sample_stats.py
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number of parameters: 4

id: 1893
unit: def _generalized_where()
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number of parameters: 3

id: 1894
unit: def else_()
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number of parameters: 3

id: 1895
unit: def call()
file: tensorflow_probability/python/experimental/auto_batching/dsl.py
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number of parameters: 4

id: 1896
unit: def __setattr__()
file: tensorflow_probability/python/experimental/auto_batching/dsl.py
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number of parameters: 3

id: 1897
unit: def execute()
file: tensorflow_probability/python/experimental/auto_batching/stackless.py
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number of parameters: 4

id: 1898
unit: def create_variable()
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number of parameters: 6

id: 1899
unit: def select_block_priority()
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number of parameters: 1

id: 1900
unit: def _directly_writes()
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number of parameters: 1

id: 1901
unit: def _expm1_pade_4_4_fwd()
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number of parameters: 1

id: 1902
unit: def convolution_batch()
file: tensorflow_probability/python/experimental/nn/convolutional_layers.py
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number of parameters: 8

id: 1903
unit: def trace()
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id: 1904
unit: def __call__()
file: tensorflow_probability/python/experimental/nn/variational_base.py
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number of parameters: 3

id: 1905
unit: def bootstrap_results()
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size: 13 LOC
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number of parameters: 2

id: 1906
unit: def one_step()
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number of parameters: 4

id: 1907
unit: def one_step()
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number of parameters: 4

id: 1908
unit: def resample_independent()
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size: 13 LOC
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number of parameters: 5

id: 1909
unit: def gen_make_hmc_kernel_fn()
file: tensorflow_probability/python/experimental/mcmc/sample_sequential_monte_carlo.py
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size: 13 LOC
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id: 1910
unit: def _ensure_step_size_is_scalar()
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size: 13 LOC
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id: 1911
unit: def bootstrap_results()
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size: 13 LOC
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number of parameters: 2

id: 1912
unit: def nuts()
file: tensorflow_probability/python/experimental/mcmc/kernel_builder.py
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number of parameters: 6

id: 1913
unit: def phmc()
file: tensorflow_probability/python/experimental/mcmc/kernel_builder.py
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number of parameters: 6

id: 1914
unit: def build_tree_uturn_instruction()
file: tensorflow_probability/python/experimental/mcmc/preconditioned_nuts.py
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number of parameters: 2

id: 1915
unit: def sample_fold()
file: tensorflow_probability/python/experimental/mcmc/sample_fold.py
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size: 13 LOC
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number of parameters: 0

id: 1916
unit: def _internal_contract()
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size: 13 LOC
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number of parameters: 3

id: 1917
unit: def _masked_logmeanexp()
file: tensorflow_probability/python/vi/mutual_information.py
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size: 13 LOC
McCabe index: 1
number of parameters: 3

id: 1918
unit: def _params_event_ndims()
file: tensorflow_probability/python/math/psd_kernels/positive_semidefinite_kernel.py
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size: 13 LOC
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number of parameters: 1

id: 1919
unit: def _parameter_properties()
file: tensorflow_probability/python/math/psd_kernels/changepoint.py
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number of parameters: 3

id: 1920
unit: def _parameter_properties()
file: tensorflow_probability/python/math/psd_kernels/polynomial.py
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number of parameters: 2

id: 1921
unit: def _compute_divisor_matrix()
file: tensorflow_probability/python/math/psd_kernels/schur_complement.py
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size: 13 LOC
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number of parameters: 3

id: 1922
unit: def _parameter_properties()
file: tensorflow_probability/python/math/psd_kernels/schur_complement.py
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size: 13 LOC
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number of parameters: 2

id: 1923
unit: def _apply_with_distance()
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number of parameters: 5

id: 1924
unit: def _init_params()
file: tensorflow_probability/python/math/psd_kernels/matern.py
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McCabe index: 3
number of parameters: 4

id: 1925
unit: def __getitem__()
file: tensorflow_probability/python/math/psd_kernels/kumaraswamy_transformed.py
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size: 13 LOC
McCabe index: 5
number of parameters: 2

id: 1926
unit: def _log_bessel_kve_bwd()
file: tensorflow_probability/python/math/bessel.py
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size: 13 LOC
McCabe index: 3
number of parameters: 2

id: 1927
unit: def _prepare_coefficients()
file: tensorflow_probability/python/math/ode/bdf.py
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size: 13 LOC
McCabe index: 2
number of parameters: 2

id: 1928
unit: def _slice_along_axis()
file: tensorflow_probability/python/math/scan_associative.py
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McCabe index: 7
number of parameters: 5

id: 1929
unit: def _maybe_validate_matrix()
file: tensorflow_probability/python/math/linalg.py
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number of parameters: 2

id: 1930
unit: def reduce_log_harmonic_mean_exp()
file: tensorflow_probability/python/math/generic.py
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number of parameters: 6

id: 1931
unit: def softplus_inverse()
file: tensorflow_probability/python/math/generic.py
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number of parameters: 2

id: 1932
unit: def log_sub_exp()
file: tensorflow_probability/python/math/generic.py
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size: 13 LOC
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number of parameters: 4

id: 1933
unit: def _get_unbatched_input_spec()
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size: 13 LOC
McCabe index: 4
number of parameters: 1

id: 1934
unit: def _batch()
file: tensorflow_probability/python/util/deferred_tensor.py
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number of parameters: 2

id: 1935
unit: def with_dependencies()
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McCabe index: 6
number of parameters: 3

id: 1936
unit: def _get_static_value()
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McCabe index: 6
number of parameters: 1

id: 1937
unit: def cond()
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unit: def __init__()
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unit: def _call_walk_inverse()
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unit: def _sample_dataset()
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unit: def brownian_motion_unknown_scales_prior_fn()
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unit: def __init__()
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unit: def __init__()
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id: 1983
unit: def lorenz_system_as_explicit_steps()
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unit: def lorenz_system_as_markov_chain()
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unit: def __init__()
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id: 1986
unit: def _flatten_and_concat()
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unit: def _split_and_reshape_event()
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unit: def _get_global_variable_names()
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id: 1989
unit: def str_matcher()
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unit: def initialize()
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unit: def spec()
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id: 1992
unit: def optimize()
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id: 1993
unit: def function_random_variable()
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unit: def conditional()
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unit: def lift_from_kwargs()
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unit: def __init__()
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id: 1997
unit: def construct_graph_representation()
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unit: def nest()
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unit: def default_rule()
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id: 2002
unit: def _assert_array_equal()
file: tensorflow_probability/python/stats/sample_stats.py
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id: 2003
unit: def _get_best_effort_ndims()
file: tensorflow_probability/python/stats/quantiles.py
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number of parameters: 4

id: 2004
unit: def _sample_n()
file: tensorflow_probability/python/distributions/logistic.py
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id: 2005
unit: def batch_shape()
file: tensorflow_probability/python/distributions/distribution.py
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number of parameters: 1

id: 2006
unit: def _call_log_prob()
file: tensorflow_probability/python/distributions/distribution.py
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id: 2007
unit: def _call_prob()
file: tensorflow_probability/python/distributions/distribution.py
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number of parameters: 4

id: 2008
unit: def _call_log_cdf()
file: tensorflow_probability/python/distributions/distribution.py
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id: 2009
unit: def _call_cdf()
file: tensorflow_probability/python/distributions/distribution.py
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id: 2010
unit: def _call_quantile()
file: tensorflow_probability/python/distributions/distribution.py
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id: 2011
unit: def experimental_local_measure()
file: tensorflow_probability/python/distributions/distribution.py
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id: 2012
unit: def _prob()
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id: 2013
unit: def _log_prob()
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number of parameters: 2

id: 2014
unit: def _dimension()
file: tensorflow_probability/python/distributions/wishart.py
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number of parameters: 1

id: 2015
unit: def _sample_control_dependencies()
file: tensorflow_probability/python/distributions/beta_binomial.py
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number of parameters: 2

id: 2016
unit: def _sample_and_log_prob()
file: tensorflow_probability/python/distributions/joint_distribution.py
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number of parameters: 5

id: 2017
unit: def _reduce_log_probs_over_dists()
file: tensorflow_probability/python/distributions/joint_distribution.py
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number of parameters: 2

id: 2018
unit: def _entropy()
file: tensorflow_probability/python/distributions/von_mises_fisher.py
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number of parameters: 1

id: 2019
unit: def _broadcast()
file: tensorflow_probability/python/distributions/batch_concat.py
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number of parameters: 3

id: 2020
unit: def _calculate_batch_shape()
file: tensorflow_probability/python/distributions/batch_concat.py
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number of parameters: 1

id: 2021
unit: def _split_sample()
file: tensorflow_probability/python/distributions/batch_concat.py
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number of parameters: 2

id: 2022
unit: def _sample_and_log_prob()
file: tensorflow_probability/python/distributions/batch_concat.py
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number of parameters: 4

id: 2023
unit: def _log_cdf()
file: tensorflow_probability/python/distributions/quantized_distribution.py
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number of parameters: 4

id: 2024
unit: def _cdf()
file: tensorflow_probability/python/distributions/quantized_distribution.py
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number of parameters: 4

id: 2025
unit: def _log_survival_function()
file: tensorflow_probability/python/distributions/quantized_distribution.py
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number of parameters: 4

id: 2026
unit: def _survival_function()
file: tensorflow_probability/python/distributions/quantized_distribution.py
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number of parameters: 4

id: 2027
unit: def _parameter_properties()
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id: 2028
unit: def _parameter_properties()
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id: 2029
unit: def _stddev()
file: tensorflow_probability/python/distributions/vector_exponential_linear_operator.py
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number of parameters: 1

id: 2030
unit: def _parameter_control_dependencies()
file: tensorflow_probability/python/distributions/spherical_uniform.py
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id: 2031
unit: def _parameter_properties()
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id: 2032
unit: def _assert_kl_compatible()
file: tensorflow_probability/python/distributions/gaussian_process.py
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number of parameters: 2

id: 2033
unit: def _parameter_properties()
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id: 2034
unit: def _parameter_control_dependencies()
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id: 2035
unit: def _sample_n()
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number of parameters: 3

id: 2036
unit: def _log_unnorm_prob()
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number of parameters: 4

id: 2037
unit: def _parameter_properties()
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id: 2038
unit: def _parameter_properties()
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id: 2039
unit: def _parameter_control_dependencies()
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number of parameters: 2

id: 2040
unit: def _maximum_mean()
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number of parameters: 4

id: 2041
unit: def _minimum_mean()
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number of parameters: 4

id: 2042
unit: def _check_shape_dominates()
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number of parameters: 2

id: 2043
unit: def _itemwise_error_rate()
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number of parameters: 4

id: 2044
unit: def _parameter_properties()
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id: 2045
unit: def _log_cdf()
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number of parameters: 2

id: 2046
unit: def _random_inverse_gaussian_jvp()
file: tensorflow_probability/python/distributions/inverse_gaussian.py
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number of parameters: 3

id: 2047
unit: def prime_factors()
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number of parameters: 1

id: 2048
unit: def _quantile()
file: tensorflow_probability/python/distributions/generalized_normal.py
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number of parameters: 2

id: 2049
unit: def _mean()
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number of parameters: 1

id: 2050
unit: def _sample_n()
file: tensorflow_probability/python/distributions/negative_binomial.py
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number of parameters: 3

id: 2051
unit: def _log_prob()
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unit: def _parameter_control_dependencies()
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unit: def _forward()
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unit: def _forward_log_det_jacobian()
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unit: def _de_normalize()
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unit: def __init__()
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unit: def _forward_event_shape()
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unit: def _gen_mask()
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unit: def _validate_bijector_fn()
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unit: def _stable_grad_softplus()
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unit: def _parameter_control_dependencies()
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unit: def _inverse()
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unit: def __init__()
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unit: def gev_constraint()
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unit: def _maybe_assert_valid_y()
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unit: def _validate_bijector_fn()
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unit: def __init__()
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unit: def _call_forward()
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unit: def _call_inverse()
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id: 2643
unit: def _parameter_control_dependencies()
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id: 2644
unit: def rayleigh()
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id: 2645
unit: def hamiltonian_integrator()
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id: 2646
unit: def random_walk_metropolis_init()
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id: 2647
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id: 2648
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id: 2649
unit: def random_categorical()
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id: 2652
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unit: def __init__()
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unit: def __init__()
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id: 2657
unit: def cached_stan_model()
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unit: def array_to_source()
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unit: def match()
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id: 2660
unit: def match()
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id: 2662
unit: def _call()
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id: 2663
unit: def call_and_update()
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unit: def _call_and_update()
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id: 2665
unit: def _layer_cau_batched()
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id: 2667
unit: def _call_and_update_batched()
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unit: def _call_batched()
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id: 2669
unit: def clip_by_global_norm()
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unit: def constrain()
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id: 2671
unit: def make_plate()
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id: 2672
unit: def _batch_fun()
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id: 2673
unit: def update_queue_state()
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id: 2674
unit: def aval()
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id: 2675
unit: def harvest()
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id: 2676
unit: def make_type()
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id: 2677
unit: def bfgs_sample()
file: discussion/pathfinder/pathfinder.py
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unit: def lbfgs()
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unit: def _make_list_or_1d_tensor()
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unit: def _make_static_axis_non_negative_list()
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id: 2681
unit: def _parameter_properties()
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id: 2683
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unit: def _parameter_properties()
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id: 2688
unit: def _entropy()
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unit: def _parameter_properties()
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id: 2691
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id: 2692
unit: def _get_static_distribution_attributes()
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id: 2693
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id: 2694
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id: 2695
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id: 2696
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id: 2697
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id: 2698
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id: 2700
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id: 2701
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id: 2702
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id: 2703
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id: 2704
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id: 2705
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id: 2706
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id: 2707
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id: 2708
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id: 2709
unit: def _broadcast_covariance_like_with_loc()
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id: 2710
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id: 2711
unit: def _mean()
file: tensorflow_probability/python/distributions/dirichlet_multinomial.py
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id: 2712
unit: def experimental_from_mean_variance()
file: tensorflow_probability/python/distributions/gamma.py
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id: 2713
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id: 2715
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id: 2717
unit: def _cdf()
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id: 2718
unit: def _entropy()
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unit: def _sample_and_log_prob()
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id: 2725
unit: def logit_normal_variance_gh()
file: tensorflow_probability/python/distributions/logitnormal.py
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id: 2726
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id: 2728
unit: def _log_prob()
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id: 2729
unit: def _kl_categorical_categorical()
file: tensorflow_probability/python/distributions/categorical.py
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id: 2730
unit: def correlation_matrix_volume_rejection_samples()
file: tensorflow_probability/python/distributions/internal/correlation_matrix_volumes_lib.py
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unit: def _log_prob()
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unit: def entropy_lower_bound()
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unit: def _parameter_control_dependencies()
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unit: def _apply_batch()
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unit: def assert_hermitian_spectrum()
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unit: def flatten_with_joined_string_paths()
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unit: def copy_docstring()
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unit: def _categorical()
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unit: def _sigmoid_cross_entropy_with_logits()
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unit: def rounding_error()
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unit: def _generate_defun_backend()
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id: 2873
unit: def tensors_in_support()
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id: 2874
unit: def per_replica_to_composite_tensor()
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unit: def _call()
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unit: def _get_indices()
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unit: def _make_kernel_stack()
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unit: def _prepare_step_size()
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unit: def _assert_dict_contents_are_equal()
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unit: def _parameter_control_dependencies()
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unit: def _inverse()
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unit: def _forward_event_shape()
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unit: def _parameter_properties()
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unit: def _parameter_properties()
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id: 2894
unit: def _maybe_assert_valid_y()
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unit: def __init__()
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unit: def _make_masked_initializer()
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unit: def _forward()
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unit: def _inverse()
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unit: def _bijector_type_str()
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id: 2910
unit: def experimental_batch_shape()
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id: 2911
unit: def experimental_batch_shape_tensor()
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unit: def transition_kernel_wrapper()
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id: 2923
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id: 2931
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id: 2932
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id: 2936
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id: 2937
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file: tensorflow_probability/python/stats/ranking.py
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unit: def _log_survival_function()
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id: 2958
unit: def _joint_sample_n()
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unit: def trace_distributions_and_values()
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id: 2960
unit: def _maybe_check_batch_shape()
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unit: def _might_have_excess_ndims()
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id: 2964
unit: def _default_event_space_bijector()
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id: 2965
unit: def experimental_is_sharded()
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unit: def _standardized_low_and_high()
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unit: def _cdf()
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unit: def _mean()
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unit: def _quantile()
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unit: def _kl_ordered_logistic_ordered_logistic()
file: tensorflow_probability/python/distributions/ordered_logistic.py
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unit: def _sample_control_dependencies()
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unit: def _default_event_space_bijector()
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unit: def _covariance()
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id: 2978
unit: def _variance()
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unit: def _mean()
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unit: def _sample_n()
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id: 2984
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id: 2985
unit: def _parameter_properties()
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id: 2986
unit: def _entropy()
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unit: def _parameter_properties()
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unit: def _sample_n()
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unit: def _parameter_properties()
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id: 2991
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id: 2992
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id: 2993
unit: def _log_prob()
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id: 2996
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id: 2997
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id: 3001
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id: 3002
unit: def _logits_and_probs_no_checks()
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id: 3004
unit: def _quantile()
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id: 3005
unit: def _parameter_properties()
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id: 3006
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id: 3007
unit: def _log_prob()
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id: 3008
unit: def _get_index_points()
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McCabe index: 4
number of parameters: 2

id: 3009
unit: def _variance()
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id: 3010
unit: def _mean()
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McCabe index: 5
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id: 3011
unit: def _event_shape()
file: tensorflow_probability/python/distributions/markov_chain.py
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id: 3012
unit: def _inverse_event_shape()
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id: 3013
unit: def _inverse_event_shape_tensor()
file: tensorflow_probability/python/distributions/markov_chain.py
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McCabe index: 1
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id: 3014
unit: def move_dimensions()
file: tensorflow_probability/python/distributions/markov_chain.py
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McCabe index: 4
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id: 3015
unit: def _mode()
file: tensorflow_probability/python/distributions/gev.py
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McCabe index: 1
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id: 3016
unit: def _cdf()
file: tensorflow_probability/python/distributions/zipf.py
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McCabe index: 3
number of parameters: 2

id: 3017
unit: def fix_truncated_normal()
file: tensorflow_probability/python/distributions/hypothesis_testlib.py
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McCabe index: 1
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id: 3018
unit: def _sample_n()
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McCabe index: 1
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id: 3019
unit: def _variance()
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McCabe index: 1
number of parameters: 1

id: 3020
unit: def _sample_control_dependencies()
file: tensorflow_probability/python/distributions/gamma_gamma.py
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McCabe index: 2
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id: 3021
unit: def _parameter_properties()
file: tensorflow_probability/python/distributions/inverse_gamma.py
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McCabe index: 1
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id: 3022
unit: def _parameter_properties()
file: tensorflow_probability/python/distributions/beta.py
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McCabe index: 1
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id: 3023
unit: def _log_prob()
file: tensorflow_probability/python/distributions/beta.py
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McCabe index: 2
number of parameters: 2

id: 3024
unit: def _entropy()
file: tensorflow_probability/python/distributions/beta.py
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id: 3025
unit: def _parameter_control_dependencies()
file: tensorflow_probability/python/distributions/chi.py
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McCabe index: 3
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id: 3026
unit: def _parameter_properties()
file: tensorflow_probability/python/distributions/kumaraswamy.py
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McCabe index: 1
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id: 3027
unit: def _parameter_properties()
file: tensorflow_probability/python/distributions/pareto.py
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McCabe index: 1
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id: 3028
unit: def _log_prob()
file: tensorflow_probability/python/distributions/half_normal.py
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McCabe index: 1
number of parameters: 2

id: 3029
unit: def _parameter_control_dependencies()
file: tensorflow_probability/python/distributions/half_normal.py
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McCabe index: 3
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id: 3030
unit: def _sample_n()
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McCabe index: 1
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id: 3031
unit: def __init__()
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id: 3032
unit: def __init__()
file: tensorflow_probability/python/distributions/stopping_ratio_logistic.py
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id: 3033
unit: def _parameter_properties()
file: tensorflow_probability/python/distributions/stopping_ratio_logistic.py
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id: 3034
unit: def _parameter_properties()
file: tensorflow_probability/python/distributions/transformed_distribution.py
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McCabe index: 1
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id: 3035
unit: def _kl_transformed_transformed()
file: tensorflow_probability/python/distributions/transformed_distribution.py
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McCabe index: 3
number of parameters: 3

id: 3036
unit: def _parameter_control_dependencies()
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McCabe index: 3
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id: 3037
unit: def _batch_shape()
file: tensorflow_probability/python/distributions/independent.py
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McCabe index: 3
number of parameters: 1

id: 3038
unit: def _sample_n()
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McCabe index: 1
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id: 3039
unit: def _parameter_control_dependencies()
file: tensorflow_probability/python/distributions/cauchy.py
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McCabe index: 3
number of parameters: 2

id: 3040
unit: def _quantile()
file: tensorflow_probability/python/distributions/laplace.py
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McCabe index: 1
number of parameters: 2

id: 3041
unit: def _parameter_control_dependencies()
file: tensorflow_probability/python/distributions/laplace.py
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McCabe index: 3
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id: 3042
unit: def _parameter_properties()
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McCabe index: 1
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id: 3043
unit: def _variance()
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McCabe index: 1
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id: 3044
unit: def _sample_control_dependencies()
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McCabe index: 2
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id: 3045
unit: def _log_prob()
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McCabe index: 2
number of parameters: 2

id: 3046
unit: def _probs_parameter_no_checks()
file: tensorflow_probability/python/distributions/binomial.py
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McCabe index: 3
number of parameters: 2

id: 3047
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file: tensorflow_probability/python/distributions/bates.py
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McCabe index: 1
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id: 3048
unit: def _event_size()
file: tensorflow_probability/python/distributions/plackett_luce.py
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McCabe index: 4
number of parameters: 2

id: 3049
unit: def _default_event_space_bijector()
file: tensorflow_probability/python/distributions/sample.py
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McCabe index: 2
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id: 3050
unit: def _inverse_log_det_jacobian()
file: tensorflow_probability/python/distributions/sample.py
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McCabe index: 1
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id: 3051
unit: def _parameter_properties()
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McCabe index: 1
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id: 3052
unit: def _log_unnormalized_prob()
file: tensorflow_probability/python/distributions/multivariate_student_t.py
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McCabe index: 1
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id: 3053
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id: 3054
unit: def _parameter_properties()
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McCabe index: 1
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id: 3055
unit: def _event_size()
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McCabe index: 5
number of parameters: 2

id: 3056
unit: def _kl_categorical_categorical()
file: tensorflow_probability/python/distributions/onehot_categorical.py
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McCabe index: 2
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id: 3057
unit: def default_multivariate_normal_fn()
file: tensorflow_probability/python/layers/util.py
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McCabe index: 1
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id: 3058
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McCabe index: 3
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id: 3059
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McCabe index: 1
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id: 3060
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McCabe index: 1
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id: 3061
unit: def get_config()
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McCabe index: 1
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id: 3062
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McCabe index: 6
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id: 3063
unit: def compute_output_shape()
file: tensorflow_probability/python/layers/dense_variational.py
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McCabe index: 2
number of parameters: 2

id: 3064
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file: tensorflow_probability/python/optimizer/sgld.py
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McCabe index: 1
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id: 3065
unit: def val_where()
file: tensorflow_probability/python/optimizer/linesearch/internal/hager_zhang_lib.py
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McCabe index: 4
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id: 3066
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file: tensorflow_probability/python/experimental/joint_distribution_layers/layers.py
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McCabe index: 1
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id: 3067
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file: tensorflow_probability/python/experimental/joint_distribution_layers/layers.py
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McCabe index: 1
number of parameters: 1

id: 3068
unit: def _batch_outer_product()
file: tensorflow_probability/python/experimental/stats/sample_stats.py
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McCabe index: 1
number of parameters: 2

id: 3069
unit: def from_stats()
file: tensorflow_probability/python/experimental/stats/sample_stats.py
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McCabe index: 1
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id: 3070
unit: def batch_shape_tensor()
file: tensorflow_probability/python/experimental/distributions/increment_log_prob.py
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McCabe index: 2
number of parameters: 2

id: 3071
unit: def _increment_log_prob_log_prob_ratio()
file: tensorflow_probability/python/experimental/distributions/increment_log_prob.py
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McCabe index: 4
number of parameters: 5

id: 3072
unit: def experimental_default_event_space_bijector()
file: tensorflow_probability/python/experimental/distributions/joint_distribution_pinned.py
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unit: def make_fast_adapt_kernel()
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unit: def _update_state_ema()
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unit: def _init_chain_state()
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id: 3113
unit: def _compute_log_acceptance_correction()
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unit: def bootstrap_results()
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id: 3115
unit: def init_element_masked()
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unit: def mid_elements_masked()
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id: 3117
unit: def batch_shape_tensor()
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unit: def __new__()
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unit: def _flatten_summand_list()
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unit: def _flatten_multiplicand_list()
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unit: def _bessel_ive_jvp()
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id: 3128
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unit: def _fourth_order_interpolation_coefficients()
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unit: def assign_add()
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end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 1

id: 3184
unit: def _to_dense()
file: tensorflow_probability/python/internal/backend/numpy/sparse_lib.py
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end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 4

id: 3185
unit: def _normal_jax()
file: tensorflow_probability/python/internal/backend/numpy/random_generators.py
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end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 6

id: 3186
unit: def _difference()
file: tensorflow_probability/python/internal/backend/numpy/sets_lib.py
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size: 8 LOC
McCabe index: 3
number of parameters: 4

id: 3187
unit: def shuffle()
file: tensorflow_probability/python/internal/samplers.py
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end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 3

id: 3188
unit: def error_due_to_ill_conditioning()
file: tensorflow_probability/python/internal/numerics_testing.py
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end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 2

id: 3189
unit: def _get_unused_parameter_name()
file: tensorflow_probability/python/internal/trainable_state_util.py
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end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 2

id: 3190
unit: def constrainer()
file: tensorflow_probability/python/internal/hypothesis_testlib.py
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end line: 0
size: 8 LOC
McCabe index: 4
number of parameters: 1

id: 3191
unit: def min_rank_for_support()
file: tensorflow_probability/python/internal/hypothesis_testlib.py
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end line: 0
size: 8 LOC
McCabe index: 4
number of parameters: 1

id: 3192
unit: def shard_values()
file: tensorflow_probability/python/internal/distribute_test_lib.py
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end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 3

id: 3193
unit: def _truncate_shape_tensor()
file: tensorflow_probability/python/internal/batch_shape_lib.py
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end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 2

id: 3194
unit: def batch_shape_parts()
file: tensorflow_probability/python/internal/batch_shape_lib.py
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end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 3195
unit: def broadcast_parameters_with_batch_shape()
file: tensorflow_probability/python/internal/batch_shape_lib.py
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end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 3196
unit: def ndtr()
file: tensorflow_probability/python/internal/special_math.py
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end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 2

id: 3197
unit: def left_justified_expand_dims_to()
file: tensorflow_probability/python/internal/broadcast_util.py
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end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 3

id: 3198
unit: def assert_same_float_dtype()
file: tensorflow_probability/python/internal/dtype_util.py
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end line: 0
size: 8 LOC
McCabe index: 4
number of parameters: 2

id: 3199
unit: def __init__()
file: tensorflow_probability/python/internal/cache_util.py
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size: 8 LOC
McCabe index: 2
number of parameters: 3

id: 3200
unit: def _call()
file: tensorflow_probability/python/glm/family.py
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end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 2

id: 3201
unit: def bootstrap_results()
file: tensorflow_probability/python/mcmc/hmc.py
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end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 2

id: 3202
unit: def _find_best_interval_idx()
file: tensorflow_probability/python/mcmc/internal/slice_sampler_utils.py
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end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 2

id: 3203
unit: def get_differing_dims()
file: tensorflow_probability/python/mcmc/simple_step_size_adaptation.py
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end line: 0
size: 8 LOC
McCabe index: 4
number of parameters: 2

id: 3204
unit: def reduce_fn()
file: tensorflow_probability/python/mcmc/simple_step_size_adaptation.py
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size: 8 LOC
McCabe index: 2
number of parameters: 5

id: 3205
unit: def reduce_fn()
file: tensorflow_probability/python/mcmc/dual_averaging_step_size_adaptation.py
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size: 8 LOC
McCabe index: 2
number of parameters: 5

id: 3206
unit: def init_parameters()
file: tensorflow_probability/python/sts/structural_time_series.py
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size: 8 LOC
McCabe index: 5
number of parameters: 1

id: 3207
unit: def _joint_prior_distribution()
file: tensorflow_probability/python/sts/structural_time_series.py
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end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 1

id: 3208
unit: def _split_covariance_into_marginals()
file: tensorflow_probability/python/sts/decomposition.py
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size: 8 LOC
McCabe index: 2
number of parameters: 2

id: 3209
unit: def __init__()
file: tensorflow_probability/python/bijectors/ascending.py
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size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 3210
unit: def forward_log_det_jacobian_ratio()
file: tensorflow_probability/python/bijectors/ldj_ratio.py
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end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 0

id: 3211
unit: def inverse_log_det_jacobian_ratio()
file: tensorflow_probability/python/bijectors/ldj_ratio.py
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end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 0

id: 3212
unit: def _parameter_properties()
file: tensorflow_probability/python/bijectors/shifted_gompertz_cdf.py
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size: 8 LOC
McCabe index: 1
number of parameters: 2

id: 3213
unit: def __init__()
file: tensorflow_probability/python/bijectors/matrix_inverse_tril.py
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size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 3214
unit: def _parameter_properties()
file: tensorflow_probability/python/bijectors/weibull_cdf.py
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end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 2

id: 3215
unit: def _forward_log_det_jacobian()
file: tensorflow_probability/python/bijectors/weibull_cdf.py
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end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 2

id: 3216
unit: def __init__()
file: tensorflow_probability/python/bijectors/softsign.py
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size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 3217
unit: def _forward_log_det_jacobian()
file: tensorflow_probability/python/bijectors/generalized_pareto.py
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end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 2

id: 3218
unit: def _inverse_log_det_jacobian()
file: tensorflow_probability/python/bijectors/generalized_pareto.py
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size: 8 LOC
McCabe index: 1
number of parameters: 2

id: 3219
unit: def _inverse_event_shape()
file: tensorflow_probability/python/bijectors/transpose.py
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end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 2

id: 3220
unit: def _forward()
file: tensorflow_probability/python/bijectors/restructure.py
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size: 8 LOC
McCabe index: 1
number of parameters: 2

id: 3221
unit: def _inverse()
file: tensorflow_probability/python/bijectors/restructure.py
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size: 8 LOC
McCabe index: 1
number of parameters: 2

id: 3222
unit: def _parameter_properties()
file: tensorflow_probability/python/bijectors/scale_matvec_tril.py
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size: 8 LOC
McCabe index: 1
number of parameters: 2

id: 3223
unit: def __init__()
file: tensorflow_probability/python/bijectors/ordered.py
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end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 3224
unit: def _inverse_log_det_jacobian()
file: tensorflow_probability/python/bijectors/lambertw_transform.py
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size: 8 LOC
McCabe index: 4
number of parameters: 2

id: 3225
unit: def __init__()
file: tensorflow_probability/python/bijectors/sinh.py
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size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 3226
unit: def _parameter_properties()
file: tensorflow_probability/python/bijectors/kumaraswamy_cdf.py
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size: 8 LOC
McCabe index: 1
number of parameters: 2

id: 3227
unit: def _forward_log_det_jacobian()
file: tensorflow_probability/python/bijectors/kumaraswamy_cdf.py
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size: 8 LOC
McCabe index: 1
number of parameters: 2

id: 3228
unit: def __init__()
file: tensorflow_probability/python/bijectors/square.py
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size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 3229
unit: def _forward()
file: tensorflow_probability/python/bijectors/rational_quadratic_spline.py
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size: 8 LOC
McCabe index: 1
number of parameters: 2

id: 3230
unit: def _make_masked_constraint()
file: tensorflow_probability/python/bijectors/masked_autoregressive.py
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size: 8 LOC
McCabe index: 2
number of parameters: 2

id: 3231
unit: def __init__()
file: tensorflow_probability/python/bijectors/tanh.py
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size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 3232
unit: def _inverse_event_shape_tensor()
file: tensorflow_probability/python/bijectors/iterated_sigmoid_centered.py
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end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 2

id: 3233
unit: def generalized_pareto_constraint()
file: tensorflow_probability/python/bijectors/hypothesis_testlib.py
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size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 3234
unit: def __init__()
file: tensorflow_probability/python/bijectors/absolute_value.py
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size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 3235
unit: def __init__()
file: tensorflow_probability/python/bijectors/reciprocal.py
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size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 3236
unit: def _assertions()
file: tensorflow_probability/python/bijectors/cholesky_outer_product.py
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end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 2

id: 3237
unit: def _parameter_properties()
file: tensorflow_probability/python/bijectors/gompertz_cdf.py
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size: 8 LOC
McCabe index: 1
number of parameters: 2

id: 3238
unit: def _forward_log_det_jacobian()
file: tensorflow_probability/python/bijectors/real_nvp.py
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size: 8 LOC
McCabe index: 2
number of parameters: 3

id: 3239
unit: def _inverse_log_det_jacobian()
file: tensorflow_probability/python/bijectors/real_nvp.py
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size: 8 LOC
McCabe index: 2
number of parameters: 3

id: 3240
unit: def _inverse_event_shape()
file: tensorflow_probability/python/bijectors/correlation_cholesky.py
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size: 8 LOC
McCabe index: 3
number of parameters: 2

id: 3241
unit: def _inverse()
file: tensorflow_probability/python/bijectors/correlation_cholesky.py
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size: 8 LOC
McCabe index: 2
number of parameters: 2

id: 3242
unit: def _forward_event_shape()
file: tensorflow_probability/python/bijectors/fill_triangular.py
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size: 8 LOC
McCabe index: 2
number of parameters: 2

id: 3243
unit: def _inverse()
file: tensorflow_probability/python/bijectors/composition.py
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size: 8 LOC
McCabe index: 2
number of parameters: 3

id: 3244
unit: def forward_event_shape()
file: tensorflow_probability/python/bijectors/bijector.py
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size: 8 LOC
McCabe index: 1
number of parameters: 2

id: 3245
unit: def inverse_event_shape()
file: tensorflow_probability/python/bijectors/bijector.py
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size: 8 LOC
McCabe index: 1
number of parameters: 2

id: 3246
unit: def _broadcast_parameters_with_batch_shape()
file: tensorflow_probability/python/bijectors/bijector.py
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end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 3

id: 3247
unit: def __new__()
file: tensorflow_probability/python/bijectors/bijector.py
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size: 8 LOC
McCabe index: 1
number of parameters: 4

id: 3248
unit: def _is_namedtuple_like()
file: spinoffs/fun_mc/fun_mc/fun_mc_lib.py
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end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 1

id: 3249
unit: def maybe_broadcast_structure()
file: spinoffs/fun_mc/fun_mc/fun_mc_lib.py
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end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 3250
unit: def splitting_integrator_step()
file: spinoffs/fun_mc/fun_mc/fun_mc_lib.py
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size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 3251
unit: def adam_init()
file: spinoffs/fun_mc/fun_mc/fun_mc_lib.py
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size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 3252
unit: def maximal_reflection_coupling_proposal()
file: spinoffs/fun_mc/fun_mc/fun_mc_lib.py
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end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 3253
unit: def running_variance_init()
file: spinoffs/fun_mc/fun_mc/fun_mc_lib.py
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end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 3254
unit: def _shape_with_lags()
file: spinoffs/fun_mc/fun_mc/fun_mc_lib.py
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end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 3255
unit: def adaptive_hamiltonian_monte_carlo_init()
file: spinoffs/fun_mc/fun_mc/prefab.py
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end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 3256
unit: def fix_part()
file: spinoffs/fun_mc/fun_mc/prefab.py
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size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 3257
unit: def random_integer()
file: spinoffs/fun_mc/fun_mc/dynamic/backend_jax/util.py
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size: 7 LOC
McCabe index: 1
number of parameters: 5

id: 3258
unit: def block_until_ready()
file: spinoffs/fun_mc/fun_mc/dynamic/backend_jax/util.py
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size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 3259
unit: def _while_loop()
file: spinoffs/fun_mc/fun_mc/dynamic/backend_jax/tf_on_jax.py
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size: 7 LOC
McCabe index: 1
number of parameters: 4

id: 3260
unit: def value_and_grad()
file: spinoffs/fun_mc/fun_mc/dynamic/backend_tensorflow/util.py
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size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 3261
unit: def random_integer()
file: spinoffs/fun_mc/fun_mc/dynamic/backend_tensorflow/util.py
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size: 7 LOC
McCabe index: 2
number of parameters: 5

id: 3262
unit: def random_categorical()
file: spinoffs/fun_mc/fun_mc/dynamic/backend_tensorflow/util.py
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size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 3263
unit: def hamiltonian_monte_carlo_with_state_grads_step()
file: spinoffs/fun_mc/fun_mc/sga_hmc.py
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end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 3264
unit: def __init__()
file: spinoffs/inference_gym/inference_gym/targets/plasma_spectroscopy.py
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size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 3265
unit: def brownian_motion_as_markov_chain()
file: spinoffs/inference_gym/inference_gym/targets/brownian_motion.py
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size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 3266
unit: def __init__()
file: spinoffs/inference_gym/inference_gym/targets/brownian_motion.py
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size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 3267
unit: def _fft_conv()
file: spinoffs/inference_gym/inference_gym/targets/vectorized_stochastic_volatility.py
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size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 3268
unit: def _drive_coroutine()
file: spinoffs/inference_gym/inference_gym/targets/vectorized_stochastic_volatility.py
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size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 3269
unit: def __init__()
file: spinoffs/inference_gym/inference_gym/targets/vectorized_stochastic_volatility.py
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size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 3270
unit: def observation_noise_fn()
file: spinoffs/inference_gym/inference_gym/targets/item_response_theory.py
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size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 3271
unit: def _log_likelihood()
file: spinoffs/inference_gym/inference_gym/targets/non_identifiable_quartic.py
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size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 3272
unit: def structured_event_to_vector()
file: spinoffs/inference_gym/inference_gym/targets/vector_model.py
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end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 3273
unit: def __init__()
file: spinoffs/inference_gym/inference_gym/targets/stochastic_volatility.py
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size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 3274
unit: def __init__()
file: spinoffs/inference_gym/inference_gym/targets/stochastic_volatility.py
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size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 3275
unit: def get_ess()
file: spinoffs/inference_gym/inference_gym/tools/get_ground_truth.py
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size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 3276
unit: def get_columns()
file: spinoffs/inference_gym/inference_gym/tools/stan/util.py
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end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 3277
unit: def item_response_theory()
file: spinoffs/inference_gym/inference_gym/tools/stan/item_response_theory.py
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end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 3278
unit: def synthetic_plasma_spectroscopy_with_bump()
file: spinoffs/inference_gym/inference_gym/internal/data.py
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end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 3279
unit: def __init__()
file: spinoffs/oryx/oryx/experimental/matching/matcher.py
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size: 7 LOC
McCabe index: 1
number of parameters: 4

id: 3280
unit: def __init__()
file: spinoffs/oryx/oryx/experimental/matching/matcher.py
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size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 3281
unit: def match()
file: spinoffs/oryx/oryx/experimental/matching/jax_rewrite.py
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size: 7 LOC
McCabe index: 2
number of parameters: 4

id: 3282
unit: def __init__()
file: spinoffs/oryx/oryx/experimental/matching/jax_rewrite.py
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size: 7 LOC
McCabe index: 3
number of parameters: 4

id: 3283
unit: def evaluate()
file: spinoffs/oryx/oryx/experimental/matching/jax_rewrite.py
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size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 3284
unit: def template_spec()
file: spinoffs/oryx/oryx/experimental/nn/base.py
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end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 3285
unit: def shape_dtype()
file: spinoffs/oryx/oryx/experimental/autoconj/einsum.py
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end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 3286
unit: def reduce_sum_as_einsum()
file: spinoffs/oryx/oryx/experimental/autoconj/canonicalize.py
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end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 3287
unit: def shape_dtype()
file: spinoffs/oryx/oryx/experimental/autoconj/addn.py
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size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 3288
unit: def block()
file: spinoffs/oryx/oryx/core/ppl/transformations.py
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size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 3289
unit: def __init_subclass__()
file: spinoffs/oryx/oryx/core/pytree.py
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end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 3290
unit: def make_default_rule()
file: spinoffs/oryx/oryx/core/interpreters/log_prob.py
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end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 3291
unit: def _nest_lowering()
file: spinoffs/oryx/oryx/core/interpreters/harvest.py
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end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 6

id: 3292
unit: def process_call()
file: spinoffs/oryx/oryx/core/interpreters/harvest.py
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end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 6

id: 3293
unit: def post_process_call()
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size: 7 LOC
McCabe index: 2
number of parameters: 4

id: 3294
unit: def handle_sow()
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id: 3299
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unit: def _log_cdf()
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unit: def logit_normal_mean_gh()
file: tensorflow_probability/python/distributions/logitnormal.py
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unit: def _cdf()
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unit: def pattern_traverse()
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McCabe index: 5
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id: 3414
unit: def __init__()
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unit: def __init__()
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McCabe index: 1
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id: 3416
unit: def _validate_padding()
file: tensorflow_probability/python/experimental/nn/util/convolution_util.py
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McCabe index: 2
number of parameters: 1

id: 3417
unit: def get_spherical_normal_loc_scale()
file: tensorflow_probability/python/experimental/nn/variational_base.py
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McCabe index: 3
number of parameters: 1

id: 3418
unit: def _expand_dims_under_batch_dim()
file: tensorflow_probability/python/experimental/mcmc/nuts_autobatching.py
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McCabe index: 2
number of parameters: 2

id: 3419
unit: def finalize()
file: tensorflow_probability/python/experimental/mcmc/expectations_reducer.py
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McCabe index: 1
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id: 3420
unit: def _rotate_on_ellipse()
file: tensorflow_probability/python/experimental/mcmc/elliptical_slice_sampler.py
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McCabe index: 2
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id: 3421
unit: def _get_window_sizes()
file: tensorflow_probability/python/experimental/mcmc/windowed_sampling.py
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McCabe index: 1
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unit: def __init__()
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McCabe index: 1
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id: 3423
unit: def __init__()
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id: 3424
unit: def __init__()
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id: 3425
unit: def realized_acceptance_rate()
file: tensorflow_probability/python/experimental/mcmc/kernel_outputs.py
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size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 3426
unit: def _update_principal_component_ema()
file: tensorflow_probability/python/experimental/mcmc/snaper_hmc.py
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McCabe index: 1
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id: 3427
unit: def ess_below_threshold()
file: tensorflow_probability/python/experimental/mcmc/sequential_monte_carlo_kernel.py
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McCabe index: 1
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id: 3428
unit: def rwm()
file: tensorflow_probability/python/experimental/mcmc/kernel_builder.py
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McCabe index: 1
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id: 3429
unit: def _set_step_size_adapter()
file: tensorflow_probability/python/experimental/mcmc/kernel_builder.py
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McCabe index: 3
number of parameters: 3

id: 3430
unit: def init_velocity_state_memory()
file: tensorflow_probability/python/experimental/mcmc/preconditioned_nuts.py
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McCabe index: 3
number of parameters: 2

id: 3431
unit: def _shape_tensor()
file: tensorflow_probability/python/experimental/linalg/linear_operator_psd_kernel.py
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McCabe index: 1
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id: 3432
unit: def _gated_residual_fraction()
file: tensorflow_probability/python/experimental/bijectors/highway_flow.py
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McCabe index: 1
number of parameters: 1

id: 3433
unit: def _letter()
file: tensorflow_probability/python/experimental/marginalize/marginalizable.py
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McCabe index: 2
number of parameters: 1

id: 3434
unit: def jensen_shannon()
file: tensorflow_probability/python/vi/csiszar_divergence.py
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McCabe index: 5
number of parameters: 3

id: 3435
unit: def arithmetic_geometric()
file: tensorflow_probability/python/vi/csiszar_divergence.py
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size: 7 LOC
McCabe index: 3
number of parameters: 3

id: 3436
unit: def modified_gan()
file: tensorflow_probability/python/vi/csiszar_divergence.py
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McCabe index: 3
number of parameters: 3

id: 3437
unit: def tensor()
file: tensorflow_probability/python/math/psd_kernels/positive_semidefinite_kernel.py
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size: 7 LOC
McCabe index: 3
number of parameters: 6

id: 3438
unit: def _apply()
file: tensorflow_probability/python/math/psd_kernels/feature_transformed.py
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McCabe index: 1
number of parameters: 4

id: 3439
unit: def _tensor()
file: tensorflow_probability/python/math/psd_kernels/feature_transformed.py
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size: 7 LOC
McCabe index: 1
number of parameters: 5

id: 3440
unit: def _bessel_iv_ratio_bwd()
file: tensorflow_probability/python/math/bessel.py
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size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 3441
unit: def _bessel_kve_bwd()
file: tensorflow_probability/python/math/bessel.py
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McCabe index: 3
number of parameters: 2

id: 3442
unit: def _erfcx_bwd()
file: tensorflow_probability/python/math/special.py
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McCabe index: 1
number of parameters: 2

id: 3443
unit: def round_exponential_bump_function()
file: tensorflow_probability/python/math/special.py
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size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 3444
unit: def _owens_t_bwd()
file: tensorflow_probability/python/math/special.py
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size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 3445
unit: def _adjust_solver_internal_state_for_state_jump()
file: tensorflow_probability/python/math/ode/base.py
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McCabe index: 1
number of parameters: 0

id: 3446
unit: def __call__()
file: tensorflow_probability/python/math/ode/util.py
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McCabe index: 2
number of parameters: 3

id: 3447
unit: def newton_qr()
file: tensorflow_probability/python/math/ode/bdf_util.py
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size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 3448
unit: def step_and_record()
file: tensorflow_probability/python/math/ode/dormand_prince.py
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size: 7 LOC
McCabe index: 1
number of parameters: 4

id: 3449
unit: def _interpolate_solution_at()
file: tensorflow_probability/python/math/ode/dormand_prince.py
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size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 3450
unit: def _sparse_block_diag()
file: tensorflow_probability/python/math/linalg.py
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size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 3451
unit: def log_cumsum_exp()
file: tensorflow_probability/python/math/generic.py
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size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 3452
unit: def reduce_kahan_sum()
file: tensorflow_probability/python/math/generic.py
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size: 7 LOC
McCabe index: 2
number of parameters: 4

id: 3453
unit: def log_add_exp()
file: tensorflow_probability/python/math/generic.py
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size: 7 LOC
McCabe index: 3
number of parameters: 3

id: 3454
unit: def _component_specs()
file: tensorflow_probability/python/util/deferred_tensor.py
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McCabe index: 3
number of parameters: 1

id: 3455
unit: def is_diagonal_scale()
file: tensorflow_probability/python/internal/distribution_util.py
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McCabe index: 4
number of parameters: 1

id: 3456
unit: def has_nested()
file: tensorflow_probability/python/internal/unnest.py
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McCabe index: 4
number of parameters: 3

id: 3457
unit: def broadcast_shape()
file: tensorflow_probability/python/internal/prefer_static.py
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size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 3458
unit: def deprecated_argument_lookup()
file: tensorflow_probability/python/internal/backend/numpy/deprecation.py
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McCabe index: 3
number of parameters: 4

id: 3459
unit: def _eye()
file: tensorflow_probability/python/internal/backend/numpy/linalg_impl.py
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size: 7 LOC
McCabe index: 2
number of parameters: 5

id: 3460
unit: def _lu_pivot_to_permutation()
file: tensorflow_probability/python/internal/backend/numpy/linalg_impl.py
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size: 7 LOC
McCabe index: 2
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id: 3461
unit: def _matrix_transpose()
file: tensorflow_probability/python/internal/backend/numpy/linalg_impl.py
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McCabe index: 3
number of parameters: 3

id: 3462
unit: def _case_create_default_action()
file: tensorflow_probability/python/internal/backend/numpy/control_flow.py
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McCabe index: 1
number of parameters: 2

id: 3463
unit: def _constant()
file: tensorflow_probability/python/internal/backend/numpy/ops.py
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McCabe index: 3
number of parameters: 4

id: 3464
unit: def _ensure_shape()
file: tensorflow_probability/python/internal/backend/numpy/ops.py
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size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 3465
unit: def _get_static_value_numpy()
file: tensorflow_probability/python/internal/backend/numpy/ops.py
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McCabe index: 3
number of parameters: 2

id: 3466
unit: def dtype_name()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator_util.py
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size: 7 LOC
McCabe index: 3
number of parameters: 1

id: 3467
unit: def assert_compatible_matrix_dimensions()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator_util.py
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size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 3468
unit: def shape_tensor()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator_util.py
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McCabe index: 2
number of parameters: 2

id: 3469
unit: def _shape()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator_identity.py
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size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 3470
unit: def add_to_tensor()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator_identity.py
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McCabe index: 1
number of parameters: 3

id: 3471
unit: def _cholesky_diag()
file: tensorflow_probability/python/internal/backend/numpy/gen/cholesky_registrations.py
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McCabe index: 1
number of parameters: 1

id: 3472
unit: def _cholesky_block_diag()
file: tensorflow_probability/python/internal/backend/numpy/gen/cholesky_registrations.py
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McCabe index: 2
number of parameters: 1

id: 3473
unit: def _cholesky_kronecker()
file: tensorflow_probability/python/internal/backend/numpy/gen/cholesky_registrations.py
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McCabe index: 2
number of parameters: 1

id: 3474
unit: def _adjoint_linear_operator()
file: tensorflow_probability/python/internal/backend/numpy/gen/adjoint_registrations.py
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size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 3475
unit: def _inverse_linear_operator()
file: tensorflow_probability/python/internal/backend/numpy/gen/inverse_registrations.py
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size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 3476
unit: def _inverse_diag()
file: tensorflow_probability/python/internal/backend/numpy/gen/inverse_registrations.py
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size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 3477
unit: def adjoint()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator_algebra.py
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size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 3478
unit: def cholesky()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator_algebra.py
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McCabe index: 2
number of parameters: 2

id: 3479
unit: def matmul()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator_algebra.py
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size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 3480
unit: def solve()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator_algebra.py
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McCabe index: 2
number of parameters: 3

id: 3481
unit: def inverse()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator_algebra.py
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size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 3482
unit: def _prefer_static_concat_shape()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator_kronecker.py
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McCabe index: 5
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id: 3483
unit: def _batch_shape_tensor()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator.py
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McCabe index: 4
number of parameters: 2

id: 3484
unit: def _domain_dimension_tensor()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator.py
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McCabe index: 4
number of parameters: 2

id: 3485
unit: def _range_dimension_tensor()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator.py
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McCabe index: 4
number of parameters: 2

id: 3486
unit: def matvec()
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McCabe index: 2
number of parameters: 4

id: 3487
unit: def _determinant()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator.py
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McCabe index: 2
number of parameters: 1

id: 3488
unit: def determinant()
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McCabe index: 2
number of parameters: 2

id: 3489
unit: def log_abs_determinant()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator.py
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McCabe index: 2
number of parameters: 2

id: 3490
unit: def solvevec()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator.py
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McCabe index: 2
number of parameters: 4

id: 3491
unit: def _cond()
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McCabe index: 4
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id: 3492
unit: def _set_graph_parents()
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McCabe index: 6
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id: 3493
unit: def _diag_part()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator.py
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McCabe index: 1
number of parameters: 5

id: 3494
unit: def _pop_a_match_at_tier()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator_addition.py
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McCabe index: 4
number of parameters: 3

id: 3495
unit: def __init__()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator_addition.py
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McCabe index: 1
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id: 3496
unit: def _add()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator_addition.py
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McCabe index: 1
number of parameters: 5

id: 3497
unit: def _get_uv_as_tensors()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator_low_rank_update.py
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McCabe index: 2
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id: 3498
unit: def _diag_part()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator_low_rank_update.py
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McCabe index: 2
number of parameters: 1

id: 3499
unit: def _to_complex()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator_circulant.py
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McCabe index: 3
number of parameters: 1

id: 3500
unit: def _determinant()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator_block_lower_triangular.py
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McCabe index: 4
number of parameters: 1

id: 3501
unit: def _diag_part()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator_block_lower_triangular.py
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McCabe index: 2
number of parameters: 1

id: 3502
unit: def _eigvals()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator_block_lower_triangular.py
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McCabe index: 3
number of parameters: 1

id: 3503
unit: def combined_commuting_positive_definite_hint()
file: tensorflow_probability/python/internal/backend/numpy/gen/registrations_util.py
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McCabe index: 5
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id: 3504
unit: def _shape()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator_zeros.py
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McCabe index: 2
number of parameters: 1

id: 3505
unit: def merge_with()
file: tensorflow_probability/python/internal/backend/numpy/gen/tensor_shape.py
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McCabe index: 2
number of parameters: 2

id: 3506
unit: def _placeholder_with_default()
file: tensorflow_probability/python/internal/backend/numpy/v1.py
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McCabe index: 5
number of parameters: 3

id: 3507
unit: def pack_sequence_as()
file: tensorflow_probability/python/internal/backend/numpy/nest.py
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McCabe index: 3
number of parameters: 3

id: 3508
unit: def _yield_sorted_items()
file: tensorflow_probability/python/internal/backend/numpy/nest.py
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McCabe index: 4
number of parameters: 1

id: 3509
unit: def _segment_max()
file: tensorflow_probability/python/internal/backend/numpy/numpy_math.py
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McCabe index: 2
number of parameters: 3

id: 3510
unit: def _segment_min()
file: tensorflow_probability/python/internal/backend/numpy/numpy_math.py
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McCabe index: 2
number of parameters: 3

id: 3511
unit: def _segment_prod()
file: tensorflow_probability/python/internal/backend/numpy/numpy_math.py
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McCabe index: 2
number of parameters: 3

id: 3512
unit: def _segment_sum()
file: tensorflow_probability/python/internal/backend/numpy/numpy_math.py
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McCabe index: 2
number of parameters: 3

id: 3513
unit: def _softmax()
file: tensorflow_probability/python/internal/backend/numpy/numpy_math.py
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McCabe index: 2
number of parameters: 3

id: 3514
unit: def _unsorted_segment_sum()
file: tensorflow_probability/python/internal/backend/numpy/numpy_math.py
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McCabe index: 2
number of parameters: 4

id: 3515
unit: def _moments()
file: tensorflow_probability/python/internal/backend/numpy/nn.py
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McCabe index: 3
number of parameters: 5

id: 3516
unit: def _deferred_assertion_context()
file: tensorflow_probability/python/internal/auto_composite_tensor.py
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McCabe index: 1
number of parameters: 1

id: 3517
unit: def is_compatible_with()
file: tensorflow_probability/python/internal/auto_composite_tensor.py
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McCabe index: 3
number of parameters: 2

id: 3518
unit: def cast_structure()
file: tensorflow_probability/python/internal/nest_util.py
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McCabe index: 3
number of parameters: 2

id: 3519
unit: def call_fn()
file: tensorflow_probability/python/internal/nest_util.py
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McCabe index: 3
number of parameters: 2

id: 3520
unit: def _is_xla()
file: tensorflow_probability/python/internal/implementation_selection.py
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size: 7 LOC
McCabe index: 4
number of parameters: 0

id: 3521
unit: def _rank_broadcasting_error_pattern()
file: tensorflow_probability/python/internal/hypothesis_testlib.py
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McCabe index: 2
number of parameters: 3

id: 3522
unit: def log_cdf_laplace()
file: tensorflow_probability/python/internal/special_math.py
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size: 7 LOC
McCabe index: 3
number of parameters: 1

id: 3524
unit: def name()
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McCabe index: 3
number of parameters: 1

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unit: def __init__()
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McCabe index: 3
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unit: def __init__()
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unit: def __eq__()
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McCabe index: 5
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id: 3528
unit: def __get__()
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McCabe index: 1
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id: 3529
unit: def __init__()
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McCabe index: 2
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id: 3530
unit: def __call__()
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McCabe index: 1
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id: 3531
unit: def _call()
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unit: def _call()
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McCabe index: 1
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unit: def _call()
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McCabe index: 2
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id: 3534
unit: def _as_distribution()
file: tensorflow_probability/python/glm/family.py
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size: 7 LOC
McCabe index: 1
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id: 3535
unit: def _as_distribution()
file: tensorflow_probability/python/glm/family.py
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size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 3536
unit: def _find_inner_mh_results()
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size: 7 LOC
McCabe index: 4
number of parameters: 1

id: 3537
unit: def _get_permutations()
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size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 3538
unit: def is_namedtuple_like()
file: tensorflow_probability/python/mcmc/internal/util.py
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size: 7 LOC
McCabe index: 3
number of parameters: 1

id: 3539
unit: def _get_field()
file: tensorflow_probability/python/mcmc/replica_exchange_mc.py
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size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 3540
unit: def _update_field()
file: tensorflow_probability/python/mcmc/replica_exchange_mc.py
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size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 3541
unit: def init_momentum_state_memory()
file: tensorflow_probability/python/mcmc/nuts.py
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size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 3542
unit: def hmc_like_log_accept_prob_getter_fn()
file: tensorflow_probability/python/mcmc/simple_step_size_adaptation.py
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size: 7 LOC
McCabe index: 1
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id: 3543
unit: def _trace_scan_fn()
file: tensorflow_probability/python/mcmc/sample.py
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size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 3544
unit: def _observe_timeseries_fn()
file: tensorflow_probability/python/sts/components/regression.py
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size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 3545
unit: def _design_matrix_for_one_seasonal_effect()
file: tensorflow_probability/python/sts/internal/seasonality_util.py
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size: 7 LOC
McCabe index: 2
number of parameters: 4

id: 3546
unit: def _default_fldj_ratio_fn()
file: tensorflow_probability/python/bijectors/ldj_ratio.py
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size: 7 LOC
McCabe index: 1
number of parameters: 7

id: 3547
unit: def _default_ildj_ratio_fn()
file: tensorflow_probability/python/bijectors/ldj_ratio.py
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size: 7 LOC
McCabe index: 1
number of parameters: 7

id: 3548
unit: def _get_ldj_ratio_fn()
file: tensorflow_probability/python/bijectors/ldj_ratio.py
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size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 3549
unit: def _forward_log_det_jacobian()
file: tensorflow_probability/python/bijectors/shifted_gompertz_cdf.py
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size: 7 LOC
McCabe index: 1
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id: 3550
unit: def _forward()
file: tensorflow_probability/python/bijectors/matrix_inverse_tril.py
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size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 3551
unit: def _inverse_log_det_jacobian()
file: tensorflow_probability/python/bijectors/weibull_cdf.py
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size: 7 LOC
McCabe index: 1
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id: 3552
unit: def _inverse()
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McCabe index: 1
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id: 3553
unit: def __init__()
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McCabe index: 2
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id: 3554
unit: def _forward()
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McCabe index: 3
number of parameters: 2

id: 3555
unit: def _get_perm()
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McCabe index: 2
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id: 3556
unit: def _parameter_properties()
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McCabe index: 1
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id: 3557
unit: def _cumulative_broadcast_static()
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size: 7 LOC
McCabe index: 4
number of parameters: 1

id: 3558
unit: def unique_token_set()
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McCabe index: 2
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id: 3559
unit: def _inverse()
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McCabe index: 1
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id: 3560
unit: def _assertions()
file: tensorflow_probability/python/bijectors/power.py
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size: 7 LOC
McCabe index: 3
number of parameters: 3

id: 3561
unit: def _inverse_log_det_jacobian()
file: tensorflow_probability/python/bijectors/frechet_cdf.py
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size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 3562
unit: def _forward_log_det_jacobian()
file: tensorflow_probability/python/bijectors/frechet_cdf.py
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McCabe index: 1
number of parameters: 2

id: 3563
unit: def _forward_event_shape_tensor()
file: tensorflow_probability/python/bijectors/pad.py
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size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 3564
unit: def _make_dense_autoregressive_masks()
file: tensorflow_probability/python/bijectors/masked_autoregressive.py
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size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 3565
unit: def _create_masks()
file: tensorflow_probability/python/bijectors/masked_autoregressive.py
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size: 7 LOC
McCabe index: 3
number of parameters: 1

id: 3566
unit: def _forward_log_det_jacobian()
file: tensorflow_probability/python/bijectors/power_transform.py
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size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 3567
unit: def _maybe_assert_valid_x()
file: tensorflow_probability/python/bijectors/power_transform.py
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size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 3568
unit: def _stable_sigmoid()
file: tensorflow_probability/python/bijectors/sigmoid.py
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size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 3569
unit: def _forward()
file: tensorflow_probability/python/bijectors/scale.py
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size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 3570
unit: def _inverse()
file: tensorflow_probability/python/bijectors/scale.py
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McCabe index: 3
number of parameters: 2

id: 3571
unit: def _parameter_properties()
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size: 7 LOC
McCabe index: 1
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id: 3572
unit: def _forward()
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McCabe index: 1
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id: 3573
unit: def _inverse()
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McCabe index: 1
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id: 3574
unit: def _inverse()
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size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 3575
unit: def softclip_constraint()
file: tensorflow_probability/python/bijectors/hypothesis_testlib.py
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size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 3576
unit: def _ildj_ratio_scale_matvec_diag()
file: tensorflow_probability/python/bijectors/scale_matvec_diag.py
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size: 7 LOC
McCabe index: 1
number of parameters: 7

id: 3577
unit: def _forward_log_det_jacobian()
file: tensorflow_probability/python/bijectors/gompertz_cdf.py
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size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 3578
unit: def _inverse_log_det_jacobian()
file: tensorflow_probability/python/bijectors/sinh_arcsinh.py
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size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 3579
unit: def _max_precision_sum()
file: tensorflow_probability/python/bijectors/composition.py
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size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 3580
unit: def rademacher()
file: tensorflow_probability/python/random/random_ops.py
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size: 7 LOC
McCabe index: 5
number of parameters: 4

id: 3581
unit: def wrapper()
file: spinoffs/fun_mc/fun_mc/fun_mc_lib.py
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McCabe index: 1
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id: 3582
unit: def reparameterize_potential_fn()
file: spinoffs/fun_mc/fun_mc/fun_mc_lib.py
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McCabe index: 1
number of parameters: 0

id: 3583
unit: def mclachlan_optimal_4th_order_step()
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McCabe index: 1
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id: 3584
unit: def persistent_metropolis_hastings_step()
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McCabe index: 1
number of parameters: 0

id: 3585
unit: def running_mean_init()
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McCabe index: 1
number of parameters: 2

id: 3586
unit: def __init__()
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size: 6 LOC
McCabe index: 1
number of parameters: 5

id: 3587
unit: def step_size()
file: spinoffs/fun_mc/fun_mc/prefab.py
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size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 3588
unit: def _center_previous_state()
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size: 6 LOC
McCabe index: 3
number of parameters: 3

id: 3589
unit: def _halton()
file: spinoffs/fun_mc/fun_mc/sga_hmc.py
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size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 3590
unit: def prior()
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McCabe index: 1
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id: 3591
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McCabe index: 1
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McCabe index: 1
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McCabe index: 1
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McCabe index: 1
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id: 3595
unit: def log_likelihood_fn()
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McCabe index: 1
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id: 3596
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McCabe index: 2
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McCabe index: 1
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id: 3598
unit: def stochastic_volatility_log_likelihood_fn()
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McCabe index: 2
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McCabe index: 1
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id: 3600
unit: def convection_lorenz_bridge_unknown_scales()
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McCabe index: 1
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id: 3601
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McCabe index: 3
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id: 3602
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McCabe index: 3
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id: 3603
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McCabe index: 3
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id: 3604
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McCabe index: 3
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id: 3605
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McCabe index: 1
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id: 3606
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id: 3607
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McCabe index: 1
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id: 3608
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McCabe index: 1
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id: 3609
unit: def matcher()
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id: 3610
unit: def is_match()
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McCabe index: 3
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id: 3611
unit: def match()
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McCabe index: 3
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id: 3612
unit: def in_order()
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McCabe index: 2
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id: 3613
unit: def match()
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McCabe index: 2
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id: 3614
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McCabe index: 2
number of parameters: 1

id: 3615
unit: def shape()
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McCabe index: 4
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id: 3616
unit: def dtype()
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unit: def match()
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unit: def match()
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unit: def match()
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McCabe index: 2
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id: 3620
unit: def replace()
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McCabe index: 4
number of parameters: 4

id: 3621
unit: def layer_spec()
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McCabe index: 1
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unit: def spec()
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McCabe index: 2
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id: 3623
unit: def _call()
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McCabe index: 5
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id: 3624
unit: def _call()
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McCabe index: 2
number of parameters: 2

id: 3625
unit: def gradient_descent()
file: spinoffs/oryx/oryx/experimental/optimizers/optix.py
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size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 3626
unit: def match()
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size: 6 LOC
McCabe index: 2
number of parameters: 4

id: 3627
unit: def squeeze_as_einsum()
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size: 6 LOC
McCabe index: 3
number of parameters: 2

id: 3628
unit: def plate()
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McCabe index: 2
number of parameters: 2

id: 3629
unit: def read()
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McCabe index: 3
number of parameters: 2

id: 3630
unit: def tie_all()
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McCabe index: 2
number of parameters: 1

id: 3631
unit: def tuple_spec()
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McCabe index: 2
number of parameters: 1

id: 3632
unit: def call_and_update()
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McCabe index: 3
number of parameters: 3

id: 3633
unit: def __hash__()
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McCabe index: 3
number of parameters: 1

id: 3634
unit: def __str__()
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McCabe index: 1
number of parameters: 1

id: 3635
unit: def new_custom_rules()
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unit: def __init__()
file: spinoffs/oryx/oryx/core/interpreters/unzip.py
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end line: 0
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McCabe index: 1
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id: 3637
unit: def sow_unzip()
file: spinoffs/oryx/oryx/core/interpreters/unzip.py
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size: 6 LOC
McCabe index: 2
number of parameters: 6

id: 3638
unit: def sow()
file: spinoffs/oryx/oryx/core/interpreters/harvest.py
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McCabe index: 2
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id: 3639
unit: def _nest_translation_rule()
file: spinoffs/oryx/oryx/core/interpreters/harvest.py
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size: 6 LOC
McCabe index: 1
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id: 3640
unit: def top()
file: spinoffs/oryx/oryx/core/interpreters/inverse/core.py
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size: 6 LOC
McCabe index: 3
number of parameters: 1

id: 3641
unit: def tie_all_ildj()
file: spinoffs/oryx/oryx/core/interpreters/inverse/rules.py
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size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 3642
unit: def _total_event_size()
file: discussion/neutra/neutra_kernel.py
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size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 3643
unit: def cholesky_covariance()
file: tensorflow_probability/python/stats/sample_stats.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 4

id: 3644
unit: def default_benchmark_config()
file: tensorflow_probability/python/debugging/benchmarking/benchmark_tf_function.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 3645
unit: def _parameter_properties()
file: tensorflow_probability/python/distributions/logistic.py
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number of parameters: 3

id: 3646
unit: def prior_marginals()
file: tensorflow_probability/python/distributions/hidden_markov_model.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 3647
unit: def _sample_and_log_prob()
file: tensorflow_probability/python/distributions/matrix_t_linear_operator.py
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size: 6 LOC
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number of parameters: 3

id: 3648
unit: def _is_iterable()
file: tensorflow_probability/python/distributions/blockwise.py
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McCabe index: 2
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id: 3649
unit: def _event_shape()
file: tensorflow_probability/python/distributions/blockwise.py
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McCabe index: 3
number of parameters: 1

id: 3650
unit: def _cdf()
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McCabe index: 3
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id: 3651
unit: def _mean()
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id: 3652
unit: def mean_log_det()
file: tensorflow_probability/python/distributions/wishart.py
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id: 3653
unit: def _multi_gamma_sequence()
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id: 3654
unit: def _default_event_space_bijector()
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id: 3655
unit: def _latent_size_tensor_no_checks()
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id: 3656
unit: def forward_filter()
file: tensorflow_probability/python/distributions/linear_gaussian_ssm.py
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McCabe index: 1
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id: 3657
unit: def _batch_shape_tensor()
file: tensorflow_probability/python/distributions/joint_distribution.py
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id: 3658
unit: def prob_parts()
file: tensorflow_probability/python/distributions/joint_distribution.py
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McCabe index: 1
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id: 3659
unit: def unnormalized_prob_parts()
file: tensorflow_probability/python/distributions/joint_distribution.py
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McCabe index: 1
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id: 3660
unit: def is_scalar_batch()
file: tensorflow_probability/python/distributions/joint_distribution.py
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McCabe index: 2
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id: 3661
unit: def _mean()
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McCabe index: 2
number of parameters: 1

id: 3662
unit: def _call_concat()
file: tensorflow_probability/python/distributions/batch_concat.py
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McCabe index: 2
number of parameters: 3

id: 3663
unit: def _batch_plus_event_shape()
file: tensorflow_probability/python/distributions/mvn_low_rank_update_linear_operator_covariance.py
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size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 3664
unit: def _entropy()
file: tensorflow_probability/python/distributions/mvn_low_rank_update_linear_operator_covariance.py
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McCabe index: 1
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id: 3665
unit: def _model_flatten()
file: tensorflow_probability/python/distributions/joint_distribution_named.py
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McCabe index: 5
number of parameters: 2

id: 3666
unit: def _convert_to_dict()
file: tensorflow_probability/python/distributions/joint_distribution_named.py
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McCabe index: 3
number of parameters: 1

id: 3667
unit: def _log_prob_with_logcdf()
file: tensorflow_probability/python/distributions/quantized_distribution.py
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size: 6 LOC
McCabe index: 3
number of parameters: 2

id: 3668
unit: def _log_prob()
file: tensorflow_probability/python/distributions/dpp.py
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size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 3669
unit: def marginal_log_prob()
file: tensorflow_probability/python/distributions/dpp.py
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size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 3670
unit: def _loc_scale_low_high()
file: tensorflow_probability/python/distributions/truncated_cauchy.py
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McCabe index: 5
number of parameters: 5

id: 3671
unit: def _mode()
file: tensorflow_probability/python/distributions/truncated_cauchy.py
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McCabe index: 5
number of parameters: 1

id: 3672
unit: def _default_event_space_bijector()
file: tensorflow_probability/python/distributions/relaxed_onehot_categorical.py
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size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 3673
unit: def _augmented_cutpoints()
file: tensorflow_probability/python/distributions/ordered_logistic.py
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size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 3674
unit: def _parameter_properties()
file: tensorflow_probability/python/distributions/loglogistic.py
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McCabe index: 1
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id: 3675
unit: def _mode()
file: tensorflow_probability/python/distributions/loglogistic.py
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size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 3676
unit: def _log_unnormalized_prob()
file: tensorflow_probability/python/distributions/power_spherical.py
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McCabe index: 2
number of parameters: 3

id: 3677
unit: def _mean()
file: tensorflow_probability/python/distributions/vector_exponential_linear_operator.py
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McCabe index: 3
number of parameters: 1

id: 3678
unit: def _covariance()
file: tensorflow_probability/python/distributions/vector_exponential_linear_operator.py
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McCabe index: 5
number of parameters: 1

id: 3679
unit: def _mode()
file: tensorflow_probability/python/distributions/vector_exponential_linear_operator.py
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size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 3680
unit: def _sample_n()
file: tensorflow_probability/python/distributions/spherical_uniform.py
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McCabe index: 1
number of parameters: 3

id: 3681
unit: def _shape_or_scalar()
file: tensorflow_probability/python/distributions/gamma.py
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McCabe index: 3
number of parameters: 2

id: 3682
unit: def _sample_n()
file: tensorflow_probability/python/distributions/chi2.py
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McCabe index: 1
number of parameters: 3

id: 3683
unit: def _entropy()
file: tensorflow_probability/python/distributions/chi2.py
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McCabe index: 1
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id: 3684
unit: def _parameter_properties()
file: tensorflow_probability/python/distributions/uniform.py
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McCabe index: 1
number of parameters: 3

id: 3685
unit: def _mean()
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McCabe index: 1
number of parameters: 1

id: 3686
unit: def _sample_and_log_prob()
file: tensorflow_probability/python/distributions/matrix_normal_linear_operator.py
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McCabe index: 1
number of parameters: 3

id: 3687
unit: def _parameter_properties()
file: tensorflow_probability/python/distributions/normal.py
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McCabe index: 1
number of parameters: 3

id: 3688
unit: def _compute_num_samples()
file: tensorflow_probability/python/distributions/empirical.py
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McCabe index: 1
number of parameters: 2

id: 3689
unit: def _stddev()
file: tensorflow_probability/python/distributions/empirical.py
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size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 3690
unit: def _parameter_properties()
file: tensorflow_probability/python/distributions/dirichlet.py
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size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 3691
unit: def _sample_n()
file: tensorflow_probability/python/distributions/dirichlet.py
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size: 6 LOC
McCabe index: 3
number of parameters: 3

id: 3692
unit: def _parameter_properties()
file: tensorflow_probability/python/distributions/von_mises.py
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McCabe index: 1
number of parameters: 3

id: 3693
unit: def _prob()
file: tensorflow_probability/python/distributions/von_mises.py
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size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 3694
unit: def _variance()
file: tensorflow_probability/python/distributions/von_mises.py
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size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 3695
unit: def random_von_mises()
file: tensorflow_probability/python/distributions/von_mises.py
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McCabe index: 1
number of parameters: 4

id: 3696
unit: def _parameter_properties()
file: tensorflow_probability/python/distributions/gumbel.py
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size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 3697
unit: def _entropy()
file: tensorflow_probability/python/distributions/batch_reshape.py
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McCabe index: 1
number of parameters: 2

id: 3698
unit: def _covariance()
file: tensorflow_probability/python/distributions/batch_reshape.py
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size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 3699
unit: def _forward()
file: tensorflow_probability/python/distributions/batch_reshape.py
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size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 3700
unit: def _inverse()
file: tensorflow_probability/python/distributions/batch_reshape.py
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size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 3701
unit: def _forward_log_det_jacobian()
file: tensorflow_probability/python/distributions/batch_reshape.py
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size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 3702
unit: def _inverse_log_det_jacobian()
file: tensorflow_probability/python/distributions/batch_reshape.py
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size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 3703
unit: def _parameter_properties()
file: tensorflow_probability/python/distributions/half_cauchy.py
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McCabe index: 1
number of parameters: 3

id: 3704
unit: def _variance()
file: tensorflow_probability/python/distributions/half_cauchy.py
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size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 3705
unit: def _default_event_space_bijector()
file: tensorflow_probability/python/distributions/half_cauchy.py
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size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 3706
unit: def _num_steps_deprecated_behavior()
file: tensorflow_probability/python/distributions/autoregressive.py
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size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 3707
unit: def _parameter_properties()
file: tensorflow_probability/python/distributions/logitnormal.py
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size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 3708
unit: def mean_log_prob_approx()
file: tensorflow_probability/python/distributions/logitnormal.py
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size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 3709
unit: def approx_expected_log_prob_sigmoid()
file: tensorflow_probability/python/distributions/logitnormal.py
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size: 6 LOC
McCabe index: 3
number of parameters: 6

id: 3710
unit: def _parameter_properties()
file: tensorflow_probability/python/distributions/bernoulli.py
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size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 3711
unit: def _sample_n()
file: tensorflow_probability/python/distributions/bernoulli.py
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size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 3712
unit: def _outcome_log_probs()
file: tensorflow_probability/python/distributions/bernoulli.py
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size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 3713
unit: def _entropy()
file: tensorflow_probability/python/distributions/bernoulli.py
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size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 3714
unit: def _parameter_properties()
file: tensorflow_probability/python/distributions/moyal.py
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size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 3715
unit: def ctv_debatched()
file: tensorflow_probability/python/distributions/internal/correlation_matrix_volumes.py
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size: 6 LOC
McCabe index: 2
number of parameters: 5

id: 3716
unit: def main()
file: tensorflow_probability/python/distributions/internal/correlation_matrix_volumes.py
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size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 3717
unit: def _log1px2()
file: tensorflow_probability/python/distributions/normal_inverse_gaussian.py
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size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 3718
unit: def _sample_control_dependencies()
file: tensorflow_probability/python/distributions/geometric.py
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size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 3719
unit: def _normal_cdf_log_difference()
file: tensorflow_probability/python/distributions/truncated_normal.py
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size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 3720
unit: def _loc_scale_low_high()
file: tensorflow_probability/python/distributions/truncated_normal.py
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size: 6 LOC
McCabe index: 5
number of parameters: 5

id: 3721
unit: def _variance()
file: tensorflow_probability/python/distributions/horseshoe.py
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size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 3722
unit: def _sample_control_dependencies()
file: tensorflow_probability/python/distributions/skellam.py
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size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 3723
unit: def experimental_is_sharded()
file: tensorflow_probability/python/distributions/mixture.py
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size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 3724
unit: def _cat_probs()
file: tensorflow_probability/python/distributions/mixture.py
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size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 3725
unit: def _entropy()
file: tensorflow_probability/python/distributions/gev.py
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size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 3726
unit: def _variance()
file: tensorflow_probability/python/distributions/zipf.py
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size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 3727
unit: def fix_pert()
file: tensorflow_probability/python/distributions/hypothesis_testlib.py
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size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 3728
unit: def _report_non_instantiable_meta_dists()
file: tensorflow_probability/python/distributions/hypothesis_testlib.py
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size: 6 LOC
McCabe index: 4
number of parameters: 0

id: 3729
unit: def modify_params()
file: tensorflow_probability/python/distributions/hypothesis_testlib.py
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size: 6 LOC
McCabe index: 3
number of parameters: 3

id: 3730
unit: def _per_mixture_component_log_prob()
file: tensorflow_probability/python/distributions/mixture_same_family.py
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size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 3731
unit: def _log_cdf()
file: tensorflow_probability/python/distributions/mixture_same_family.py
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size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 3732
unit: def _entropy()
file: tensorflow_probability/python/distributions/inverse_gamma.py
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size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 3733
unit: def _sample_control_dependencies()
file: tensorflow_probability/python/distributions/negative_binomial.py
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size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 3734
unit: def _variance()
file: tensorflow_probability/python/distributions/beta.py
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size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 3735
unit: def _parameter_properties()
file: tensorflow_probability/python/distributions/doublesided_maxwell.py
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size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 3736
unit: def _parameter_properties()
file: tensorflow_probability/python/distributions/continuous_bernoulli.py
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size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 3737
unit: def _sample_n()
file: tensorflow_probability/python/distributions/continuous_bernoulli.py
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size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 3738
unit: def _log_survival_function()
file: tensorflow_probability/python/distributions/exponential.py
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size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 3739
unit: def _kl_chi_chi()
file: tensorflow_probability/python/distributions/chi.py
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end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 3

id: 3740
unit: def _log_cdf()
file: tensorflow_probability/python/distributions/pareto.py
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size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 3741
unit: def _cdf()
file: tensorflow_probability/python/distributions/pareto.py
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size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 3742
unit: def _log_survival_function()
file: tensorflow_probability/python/distributions/pareto.py
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size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 3743
unit: def _sample_n()
file: tensorflow_probability/python/distributions/half_normal.py
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size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 3744
unit: def _kl_half_normal_half_normal()
file: tensorflow_probability/python/distributions/half_normal.py
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size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 3745
unit: def _default_event_space_bijector()
file: tensorflow_probability/python/distributions/masked.py
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size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 3746
unit: def _forward_log_det_jacobian()
file: tensorflow_probability/python/distributions/masked.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 3747
unit: def _inverse_log_det_jacobian()
file: tensorflow_probability/python/distributions/masked.py
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size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 3748
unit: def _batch_shape_tensor()
file: tensorflow_probability/python/distributions/transformed_distribution.py
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end line: 0
size: 6 LOC
McCabe index: 5
number of parameters: 1

id: 3749
unit: def _batch_shape()
file: tensorflow_probability/python/distributions/transformed_distribution.py
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size: 6 LOC
McCabe index: 5
number of parameters: 1

id: 3750
unit: def _batch_shape()
file: tensorflow_probability/python/distributions/batch_broadcast.py
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size: 6 LOC
McCabe index: 2
number of parameters: 1

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unit: def _sample_and_log_prob()
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McCabe index: 1
number of parameters: 3

id: 3752
unit: def _bcast_x()
file: tensorflow_probability/python/distributions/batch_broadcast.py
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size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 3753
unit: def cdf()
file: tensorflow_probability/python/distributions/student_t.py
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size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 3754
unit: def entropy()
file: tensorflow_probability/python/distributions/student_t.py
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McCabe index: 1
number of parameters: 4

id: 3755
unit: def _default_event_space_bijector()
file: tensorflow_probability/python/distributions/half_student_t.py
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size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 3756
unit: def _parameter_properties()
file: tensorflow_probability/python/distributions/independent.py
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size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 3757
unit: def _batch_shape_tensor()
file: tensorflow_probability/python/distributions/independent.py
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size: 6 LOC
McCabe index: 1
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id: 3758
unit: def _parameter_properties()
file: tensorflow_probability/python/distributions/cauchy.py
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size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 3759
unit: def _log_prob()
file: tensorflow_probability/python/distributions/cauchy.py
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size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 3760
unit: def _mean()
file: tensorflow_probability/python/distributions/cauchy.py
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size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 3761
unit: def _stddev()
file: tensorflow_probability/python/distributions/cauchy.py
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McCabe index: 2
number of parameters: 1

id: 3762
unit: def _parameter_properties()
file: tensorflow_probability/python/distributions/laplace.py
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McCabe index: 1
number of parameters: 3

id: 3763
unit: def _parameter_properties()
file: tensorflow_probability/python/distributions/lognormal.py
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size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 3764
unit: def _entropy()
file: tensorflow_probability/python/distributions/weibull.py
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size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 3765
unit: def _mean()
file: tensorflow_probability/python/distributions/binomial.py
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size: 6 LOC
McCabe index: 3
number of parameters: 3

id: 3766
unit: def _log_abs_determinant()
file: tensorflow_probability/python/distributions/mvn_diag.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 3767
unit: def _log_unnormalized_prob()
file: tensorflow_probability/python/distributions/poisson.py
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size: 6 LOC
McCabe index: 3
number of parameters: 3

id: 3768
unit: def _sample_control_dependencies()
file: tensorflow_probability/python/distributions/poisson.py
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McCabe index: 2
number of parameters: 2

id: 3769
unit: def _parameter_properties()
file: tensorflow_probability/python/distributions/plackett_luce.py
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size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 3770
unit: def _sample_n()
file: tensorflow_probability/python/distributions/sample.py
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size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 3771
unit: def _log_normalization()
file: tensorflow_probability/python/distributions/multivariate_student_t.py
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size: 6 LOC
McCabe index: 1
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id: 3772
unit: def _mode()
file: tensorflow_probability/python/distributions/onehot_categorical.py
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McCabe index: 1
number of parameters: 1

id: 3773
unit: def _parameter_properties()
file: tensorflow_probability/python/distributions/probit_bernoulli.py
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McCabe index: 1
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id: 3774
unit: def _sample_n()
file: tensorflow_probability/python/distributions/probit_bernoulli.py
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McCabe index: 1
number of parameters: 3

id: 3775
unit: def _outcome_log_probs()
file: tensorflow_probability/python/distributions/probit_bernoulli.py
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size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 3776
unit: def __init__()
file: tensorflow_probability/python/layers/masked_autoregressive.py
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McCabe index: 2
number of parameters: 3

id: 3777
unit: def __getattr__()
file: tensorflow_probability/python/layers/internal/distribution_tensor_coercible.py
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McCabe index: 4
number of parameters: 2

id: 3778
unit: def __call__()
file: tensorflow_probability/python/layers/distribution_layer.py
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McCabe index: 1
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id: 3779
unit: def new()
file: tensorflow_probability/python/layers/distribution_layer.py
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McCabe index: 3
number of parameters: 5

id: 3780
unit: def params_size()
file: tensorflow_probability/python/layers/distribution_layer.py
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McCabe index: 3
number of parameters: 1

id: 3781
unit: def params_size()
file: tensorflow_probability/python/layers/distribution_layer.py
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McCabe index: 3
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id: 3782
unit: def params_size()
file: tensorflow_probability/python/layers/distribution_layer.py
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McCabe index: 3
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id: 3783
unit: def params_size()
file: tensorflow_probability/python/layers/distribution_layer.py
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McCabe index: 3
number of parameters: 1

id: 3784
unit: def _deserialize()
file: tensorflow_probability/python/layers/distribution_layer.py
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size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 3785
unit: def _reduce_tensor()
file: tensorflow_probability/python/layers/distribution_layer.py
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size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 3786
unit: def _apply_variational_kernel()
file: tensorflow_probability/python/layers/dense_variational.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 3787
unit: def get_config()
file: tensorflow_probability/python/layers/dense_variational.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 3788
unit: def get_config()
file: tensorflow_probability/python/layers/conv_variational.py
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size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 3789
unit: def _prepare()
file: tensorflow_probability/python/optimizer/variational_sgd.py
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size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 3790
unit: def _resource_apply_sparse()
file: tensorflow_probability/python/optimizer/sgld.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 3791
unit: def is_finite()
file: tensorflow_probability/python/optimizer/linesearch/internal/hager_zhang_lib.py
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size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 3792
unit: def _reduce_ignoring_nones()
file: tensorflow_probability/python/optimizer/proximal_hessian_sparse.py
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end line: 0
size: 6 LOC
McCabe index: 4
number of parameters: 2

id: 3793
unit: def _evaluate_objective_multiple()
file: tensorflow_probability/python/optimizer/nelder_mead.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 3794
unit: def _implement_sharded_lp_fn()
file: tensorflow_probability/python/experimental/distribute/sharded.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 3795
unit: def _conv2d_normal_params_model_fn()
file: tensorflow_probability/python/experimental/joint_distribution_layers/layers.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 3796
unit: def __repr__()
file: tensorflow_probability/python/experimental/stats/sample_stats.py
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size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 3797
unit: def _float_dtype_like()
file: tensorflow_probability/python/experimental/stats/sample_stats.py
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size: 6 LOC
McCabe index: 3
number of parameters: 1

id: 3798
unit: def __repr__()
file: tensorflow_probability/python/experimental/stats/sample_stats.py
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size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 3799
unit: def log_prob_parts()
file: tensorflow_probability/python/experimental/distributions/joint_distribution_pinned.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 3800
unit: def unnormalized_log_prob_parts()
file: tensorflow_probability/python/experimental/distributions/joint_distribution_pinned.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 3801
unit: def _log_prob()
file: tensorflow_probability/python/experimental/distributions/mvn_precision_factor_linop.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 3802
unit: def _select_nonzero_block()
file: tensorflow_probability/python/experimental/sts_gibbs/spike_and_slab.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 3803
unit: def _parameter_control_dependencies()
file: tensorflow_probability/python/experimental/sts_gibbs/gibbs_sampler.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 3804
unit: def _assignment_construct()
file: tensorflow_probability/python/experimental/auto_batching/frontend.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 3805
unit: def __init__()
file: tensorflow_probability/python/experimental/auto_batching/frontend.py
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end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 1

id: 3806
unit: def merge_dtypes()
file: tensorflow_probability/python/experimental/auto_batching/tf_backend.py
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end line: 0
size: 6 LOC
McCabe index: 4
number of parameters: 3

id: 3807
unit: def fill()
file: tensorflow_probability/python/experimental/auto_batching/tf_backend.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 6

id: 3808
unit: def is_literal()
file: tensorflow_probability/python/experimental/auto_batching/gast_util.py
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end line: 0
size: 6 LOC
McCabe index: 4
number of parameters: 1

id: 3809
unit: def __getattr__()
file: tensorflow_probability/python/experimental/auto_batching/dsl.py
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end line: 0
size: 6 LOC
McCabe index: 5
number of parameters: 2

id: 3810
unit: def pattern()
file: tensorflow_probability/python/experimental/auto_batching/dsl.py
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end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 2

id: 3811
unit: def split_block()
file: tensorflow_probability/python/experimental/auto_batching/lowering.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 3812
unit: def create_model_variable()
file: tensorflow_probability/python/experimental/auto_batching/backend_test_lib.py
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end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 2

id: 3813
unit: def dequeue()
file: tensorflow_probability/python/experimental/auto_batching/stackless.py
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end line: 0
size: 6 LOC
McCabe index: 4
number of parameters: 1

id: 3814
unit: def _create_stack()
file: tensorflow_probability/python/experimental/auto_batching/numpy_backend.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 3815
unit: def batch_size()
file: tensorflow_probability/python/experimental/auto_batching/numpy_backend.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 3816
unit: def cond()
file: tensorflow_probability/python/experimental/auto_batching/numpy_backend.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 5

id: 3817
unit: def __init__()
file: tensorflow_probability/python/experimental/auto_batching/instructions.py
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size: 6 LOC
McCabe index: 1
number of parameters: 6

id: 3818
unit: def _invoke_fun()
file: tensorflow_probability/python/experimental/auto_batching/instructions.py
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size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 3819
unit: def _vars_read_by()
file: tensorflow_probability/python/experimental/auto_batching/allocation_strategy.py
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end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 1

id: 3820
unit: def _merge_vars()
file: tensorflow_probability/python/experimental/auto_batching/type_inference.py
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end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 5

id: 3821
unit: def _process_graph()
file: tensorflow_probability/python/experimental/auto_batching/type_inference.py
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end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 4

id: 3822
unit: def _get_event_shape_shallow_structure()
file: tensorflow_probability/python/experimental/vi/surrogate_posteriors.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 4
number of parameters: 1

id: 3823
unit: def _set_name()
file: tensorflow_probability/python/experimental/vi/automatic_structured_vi.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 3824
unit: def __getattr__()
file: tensorflow_probability/python/experimental/util/special_methods.py
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end line: 0
size: 6 LOC
McCabe index: 4
number of parameters: 2

id: 3825
unit: def __init__()
file: tensorflow_probability/python/experimental/nn/layers.py
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end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 4

id: 3826
unit: def _convolution_batch_nbhwc()
file: tensorflow_probability/python/experimental/nn/convolutional_layers.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 7

id: 3827
unit: def __init__()
file: tensorflow_probability/python/experimental/nn/util/random_variable.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 3828
unit: def _apply_gradients()
file: tensorflow_probability/python/experimental/nn/util/utils.py
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end line: 0
size: 6 LOC
McCabe index: 4
number of parameters: 3

id: 3829
unit: def _has_no_u_turn()
file: tensorflow_probability/python/experimental/mcmc/nuts_autobatching.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 3830
unit: def _continue_test_batched()
file: tensorflow_probability/python/experimental/mcmc/nuts_autobatching.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 3831
unit: def _choose_direction_batched()
file: tensorflow_probability/python/experimental/mcmc/nuts_autobatching.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 3832
unit: def initialize()
file: tensorflow_probability/python/experimental/mcmc/progress_bar_reducer.py
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size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 3833
unit: def finalize()
file: tensorflow_probability/python/experimental/mcmc/tracing_reducer.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 3834
unit: def finalize()
file: tensorflow_probability/python/experimental/mcmc/covariance_reducer.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 3835
unit: def compute_hmc_step_size()
file: tensorflow_probability/python/experimental/mcmc/sample_sequential_monte_carlo.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 3836
unit: def get_diagnostics()
file: tensorflow_probability/python/experimental/mcmc/kernel_outputs.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 3837
unit: def _wrap_as_distributions()
file: tensorflow_probability/python/experimental/mcmc/particle_filter_augmentation.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 3838
unit: def loop_fn()
file: tensorflow_probability/python/experimental/mcmc/snaper_hmc.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 3839
unit: def _dot_product()
file: tensorflow_probability/python/experimental/mcmc/snaper_hmc.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 3840
unit: def _seeded_one_step()
file: tensorflow_probability/python/experimental/mcmc/step.py
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size: 6 LOC
McCabe index: 3
number of parameters: 2

id: 3841
unit: def __init__()
file: tensorflow_probability/python/experimental/linalg/no_pivot_ldl.py
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size: 6 LOC
McCabe index: 3
number of parameters: 2

id: 3842
unit: def _shape()
file: tensorflow_probability/python/experimental/linalg/linear_operator_psd_kernel.py
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size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 3843
unit: def combine_walk()
file: tensorflow_probability/python/experimental/parallel_filter/parallel_kalman_filter_lib.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 3844
unit: def _extract_batch_shape()
file: tensorflow_probability/python/experimental/parallel_filter/parallel_kalman_filter_lib.py
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size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 3845
unit: def _propagate_cov()
file: tensorflow_probability/python/experimental/parallel_filter/parallel_kalman_filter_lib.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 3846
unit: def _activation_bijector()
file: tensorflow_probability/python/experimental/bijectors/highway_flow.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 3847
unit: def _forward_log_det_jacobian()
file: tensorflow_probability/python/experimental/bijectors/highway_flow.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 3848
unit: def _inverse_log_det_jacobian()
file: tensorflow_probability/python/experimental/bijectors/highway_flow.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 3849
unit: def _unary_logeinsumexp()
file: tensorflow_probability/python/experimental/marginalize/logeinsumexp.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 3850
unit: def _expand_right()
file: tensorflow_probability/python/experimental/marginalize/marginalizable.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 3851
unit: def _matrix()
file: tensorflow_probability/python/math/psd_kernels/positive_semidefinite_kernel.py
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size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 3852
unit: def __new__()
file: tensorflow_probability/python/math/psd_kernels/positive_semidefinite_kernel.py
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size: 6 LOC
McCabe index: 4
number of parameters: 3

id: 3853
unit: def __new__()
file: tensorflow_probability/python/math/psd_kernels/positive_semidefinite_kernel.py
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size: 6 LOC
McCabe index: 4
number of parameters: 3

id: 3854
unit: def _parameter_properties()
file: tensorflow_probability/python/math/psd_kernels/polynomial.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 3855
unit: def _validate_arg_if_not_none()
file: tensorflow_probability/python/math/psd_kernels/schur_complement.py
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end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 3

id: 3856
unit: def _inverse_length_scale_parameter()
file: tensorflow_probability/python/math/psd_kernels/exponentiated_quadratic.py
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end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 1

id: 3857
unit: def _tensor()
file: tensorflow_probability/python/math/psd_kernels/exponentiated_quadratic.py
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size: 6 LOC
McCabe index: 1
number of parameters: 5

id: 3858
unit: def _inverse_length_scale_parameter()
file: tensorflow_probability/python/math/psd_kernels/matern.py
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size: 6 LOC
McCabe index: 3
number of parameters: 1

id: 3859
unit: def _tensor()
file: tensorflow_probability/python/math/psd_kernels/matern.py
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size: 6 LOC
McCabe index: 1
number of parameters: 5

id: 3860
unit: def _tensor()
file: tensorflow_probability/python/math/psd_kernels/rational_quadratic.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 5

id: 3861
unit: def _inverse_length_scale_parameter()
file: tensorflow_probability/python/math/psd_kernels/rational_quadratic.py
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size: 6 LOC
McCabe index: 3
number of parameters: 1

id: 3862
unit: def _tensor()
file: tensorflow_probability/python/math/psd_kernels/parabolic.py
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size: 6 LOC
McCabe index: 1
number of parameters: 5

id: 3863
unit: def _sqrt1px2()
file: tensorflow_probability/python/math/bessel.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 3864
unit: def _bessel_iv_ratio_partial()
file: tensorflow_probability/python/math/bessel.py
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end line: 0
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id: 3867
unit: def bessel_kve()
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id: 3868
unit: def _log_bessel_ive_bwd()
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id: 3869
unit: def log_bessel_ive()
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id: 3870
unit: def log_bessel_kve()
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id: 3871
unit: def igammainv()
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id: 3872
unit: def _igammacinv_bwd()
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id: 3873
unit: def igammacinv()
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unit: def _lambert_jvp()
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unit: def log_gamma_difference()
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unit: def _lbeta_bwd()
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id: 3877
unit: def lbeta()
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unit: def rk_fourth_order_interpolation_coefficients()
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unit: def next_step_size()
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unit: def _write_solution_components()
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id: 3886
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id: 3887
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id: 3888
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id: 3889
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unit: def _wrap_method()
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unit: def embed_check_nonnegative_integer_form()
file: tensorflow_probability/python/internal/distribution_util.py
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unit: def _is_known_unsigned_by_dtype()
file: tensorflow_probability/python/internal/distribution_util.py
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unit: def _smallest_integer_by_dtype()
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id: 3901
unit: def dimension_size()
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id: 3902
unit: def extend_cdf_outside_support()
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id: 3903
unit: def _concat_structtuples()
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id: 3904
unit: def _ones_like()
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id: 3905
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id: 3907
unit: def _maybe_rectify_parameter_shapes()
file: tensorflow_probability/python/internal/vectorization_util.py
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id: 3908
unit: def _qr()
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id: 3909
unit: def _set_diag()
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id: 3910
unit: def _igamma_grad_a()
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unit: def _reverse()
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unit: def _unstack()
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unit: def _cast()
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id: 3915
unit: def assert_is_batch_matrix()
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id: 3916
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id: 3917
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id: 3919
unit: def add_to_tensor()
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id: 3920
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id: 3924
unit: def _cholesky_linear_operator()
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McCabe index: 1
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id: 3925
unit: def _check_reflection_axis()
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id: 3929
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id: 3931
unit: def make_composite_tensor()
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id: 3932
unit: def _static_check_for_broadcastable_batch_shape()
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id: 3933
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McCabe index: 2
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id: 3934
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McCabe index: 3
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id: 3935
unit: def _assert_self_adjoint()
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id: 3936
unit: def _log_abs_determinant()
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id: 3937
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McCabe index: 3
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id: 3938
unit: def dimension_at_index()
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id: 3939
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id: 3940
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id: 3951
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id: 3952
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id: 3953
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id: 3954
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id: 3955
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id: 3956
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McCabe index: 2
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id: 3957
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McCabe index: 1
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id: 3958
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McCabe index: 2
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id: 3959
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id: 3960
unit: def condition_number_one_input()
file: tensorflow_probability/python/internal/numerics_testing.py
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id: 3961
unit: def _serialize()
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id: 3964
unit: def all_supports()
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id: 3965
unit: def positive_definite()
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id: 3966
unit: def per_replica_to_tensor()
file: tensorflow_probability/python/internal/distribute_test_lib.py
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McCabe index: 2
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McCabe index: 5
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id: 3968
unit: def min()
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McCabe index: 5
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id: 3969
unit: def _cleanup()
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McCabe index: 3
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McCabe index: 1
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id: 3971
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McCabe index: 3
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id: 3972
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McCabe index: 1
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McCabe index: 1
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unit: def _compute_swap_notmatrix()
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unit: def bootstrap_results()
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unit: def _seeded_one_step()
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unit: def _check_times()
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unit: def _get_cumsum_transition_noise_for_timestep()
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id: 3995
unit: def batch_shape_tensor()
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unit: def _assertions()
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id: 4000
unit: def _forward_log_det_jacobian()
file: tensorflow_probability/python/bijectors/ffjord.py
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id: 4001
unit: def _inverse_log_det_jacobian()
file: tensorflow_probability/python/bijectors/ffjord.py
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id: 4002
unit: def _forward()
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id: 4003
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id: 4005
unit: def _inverse_log_det_jacobian()
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id: 4007
unit: def _inverse()
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McCabe index: 3
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id: 4008
unit: def _parameter_properties()
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McCabe index: 1
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id: 4009
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McCabe index: 3
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id: 4010
unit: def _maybe_impute_as_identity()
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size: 6 LOC
McCabe index: 3
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id: 4011
unit: def _parameter_control_dependencies()
file: tensorflow_probability/python/bijectors/scale_matvec_linear_operator.py
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size: 6 LOC
McCabe index: 4
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id: 4012
unit: def _parameter_properties()
file: tensorflow_probability/python/bijectors/invert.py
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McCabe index: 1
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id: 4013
unit: def _forward()
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size: 6 LOC
McCabe index: 1
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id: 4014
unit: def _assertions()
file: tensorflow_probability/python/bijectors/ordered.py
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size: 6 LOC
McCabe index: 2
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id: 4015
unit: def _maybe_assert_valid_x()
file: tensorflow_probability/python/bijectors/frechet_cdf.py
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size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 4016
unit: def _w_delta_squared()
file: tensorflow_probability/python/bijectors/lambertw_transform.py
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size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 4017
unit: def _forward()
file: tensorflow_probability/python/bijectors/power_transform.py
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size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 4018
unit: def _inverse()
file: tensorflow_probability/python/bijectors/power_transform.py
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size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 4019
unit: def _maybe_assert_valid_y()
file: tensorflow_probability/python/bijectors/power_transform.py
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size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 4020
unit: def _parameter_properties()
file: tensorflow_probability/python/bijectors/sigmoid.py
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size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 4021
unit: def _parameter_control_dependencies()
file: tensorflow_probability/python/bijectors/split.py
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size: 6 LOC
McCabe index: 3
number of parameters: 2

id: 4022
unit: def _is_increasing()
file: tensorflow_probability/python/bijectors/chain.py
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size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 4023
unit: def _forward_event_shape_tensor()
file: tensorflow_probability/python/bijectors/reshape.py
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size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 4024
unit: def _inverse_event_shape_tensor()
file: tensorflow_probability/python/bijectors/reshape.py
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size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 4025
unit: def _inverse_event_shape()
file: tensorflow_probability/python/bijectors/iterated_sigmoid_centered.py
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size: 6 LOC
McCabe index: 3
number of parameters: 2

id: 4026
unit: def power_transform_constraint()
file: tensorflow_probability/python/bijectors/hypothesis_testlib.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 4027
unit: def _parameter_properties()
file: tensorflow_probability/python/bijectors/moyal_cdf.py
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size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 4028
unit: def _assertions()
file: tensorflow_probability/python/bijectors/reciprocal.py
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size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 4029
unit: def _parameter_properties()
file: tensorflow_probability/python/bijectors/sinh_arcsinh.py
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size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 4030
unit: def _forward_log_det_jacobian()
file: tensorflow_probability/python/bijectors/sinh_arcsinh.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 4031
unit: def forward_event_ndims()
file: tensorflow_probability/python/bijectors/composition.py
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end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 3

id: 4032
unit: def inverse_event_ndims()
file: tensorflow_probability/python/bijectors/composition.py
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size: 6 LOC
McCabe index: 3
number of parameters: 3

id: 4033
unit: def _params_event_ndims()
file: tensorflow_probability/python/bijectors/bijector.py
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size: 6 LOC
McCabe index: 3
number of parameters: 1

id: 4034
unit: def inverse_log_det_jacobian()
file: tensorflow_probability/python/bijectors/bijector.py
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size: 6 LOC
McCabe index: 1
number of parameters: 5

id: 4035
unit: def forward_log_det_jacobian()
file: tensorflow_probability/python/bijectors/bijector.py
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size: 6 LOC
McCabe index: 1
number of parameters: 5

id: 4036
unit: def _composite_tensor_shape_params()
file: tensorflow_probability/python/bijectors/bijector.py
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size: 6 LOC
McCabe index: 4
number of parameters: 1

id: 4037
unit: def reduce_jacobian_det_over_shape()
file: tensorflow_probability/python/bijectors/bijector.py
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size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 4038
unit: def _autodiff_log_det_jacobian()
file: tensorflow_probability/python/bijectors/bijector.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 4039
unit: def _deep_tuple()
file: tensorflow_probability/python/bijectors/bijector.py
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size: 6 LOC
McCabe index: 3
number of parameters: 1

id: 4040
unit: def combine_trace()
file: spinoffs/fun_mc/fun_mc/fun_mc_lib.py
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end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 2

id: 4041
unit: def _tree_repr()
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size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 4042
unit: def leapfrog_step()
file: spinoffs/fun_mc/fun_mc/fun_mc_lib.py
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McCabe index: 1
number of parameters: 0

id: 4043
unit: def ruth4_step()
file: spinoffs/fun_mc/fun_mc/fun_mc_lib.py
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size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 4044
unit: def blanes_3_stage_step()
file: spinoffs/fun_mc/fun_mc/fun_mc_lib.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 4045
unit: def blanes_4_stage_step()
file: spinoffs/fun_mc/fun_mc/fun_mc_lib.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 4046
unit: def running_variance_step()
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size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 4047
unit: def running_covariance_step()
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size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 4048
unit: def running_mean_step()
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size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 4049
unit: def potential_scale_reduction_step()
file: spinoffs/fun_mc/fun_mc/fun_mc_lib.py
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size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 4050
unit: def running_approximate_auto_covariance_init()
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size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 4051
unit: def simple_dual_averages_step()
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McCabe index: 1
number of parameters: 0

id: 4052
unit: def persistent_hamiltonian_monte_carlo_init()
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size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 4053
unit: def _one_hot()
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McCabe index: 1
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id: 4054
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McCabe index: 2
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id: 4055
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McCabe index: 2
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id: 4056
unit: def random_uniform()
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McCabe index: 2
number of parameters: 3

id: 4057
unit: def random_normal()
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McCabe index: 2
number of parameters: 3

id: 4058
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McCabe index: 1
number of parameters: 0

id: 4059
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size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 4060
unit: def logistic_regression()
file: spinoffs/inference_gym/inference_gym/tools/stan/logistic_regression.py
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size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 4061
unit: def probit_regression()
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McCabe index: 1
number of parameters: 0

id: 4062
unit: def german_credit_numeric_logistic_regression()
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McCabe index: 1
number of parameters: 0

id: 4063
unit: def german_credit_numeric_probit_regression()
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size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 4064
unit: def german_credit_numeric_sparse_logistic_regression()
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size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 4065
unit: def sparse_logistic_regression()
file: spinoffs/inference_gym/inference_gym/tools/stan/sparse_logistic_regression.py
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size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 4066
unit: def load_ground_truth_part()
file: spinoffs/inference_gym/inference_gym/internal/ground_truth_encoding.py
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size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 4067
unit: def brownian_motion_missing_middle_observations()
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size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 4068
unit: def sp500_returns()
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size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 4069
unit: def sp500_log_returns()
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size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 4070
unit: def match()
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McCabe index: 2
number of parameters: 4

id: 4071
unit: def accumulate_value()
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McCabe index: 1
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id: 4072
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McCabe index: 2
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McCabe index: 1
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id: 4074
unit: def evaluate()
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McCabe index: 2
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id: 4075
unit: def __eq__()
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McCabe index: 4
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id: 4076
unit: def primitive_to_expression()
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McCabe index: 1
number of parameters: 1

id: 4077
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McCabe index: 1
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id: 4078
unit: def unflatten()
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McCabe index: 1
number of parameters: 3

id: 4079
unit: def _call()
file: spinoffs/oryx/oryx/experimental/nn/pooling.py
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McCabe index: 2
number of parameters: 2

id: 4080
unit: def _update_batched()
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McCabe index: 2
number of parameters: 2

id: 4081
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McCabe index: 2
number of parameters: 2

id: 4082
unit: def flatten()
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McCabe index: 3
number of parameters: 1

id: 4083
unit: def clip()
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McCabe index: 1
number of parameters: 1

id: 4084
unit: def scale()
file: spinoffs/oryx/oryx/experimental/optimizers/optix.py
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McCabe index: 1
number of parameters: 1

id: 4085
unit: def rmsprop()
file: spinoffs/oryx/oryx/experimental/optimizers/optix.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 4

id: 4086
unit: def transpose_as_einsum()
file: spinoffs/oryx/oryx/experimental/autoconj/canonicalize.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 4087
unit: def compose_einsums()
file: spinoffs/oryx/oryx/experimental/autoconj/canonicalize.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 5

id: 4088
unit: def match()
file: spinoffs/oryx/oryx/experimental/autoconj/addn.py
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size: 5 LOC
McCabe index: 2
number of parameters: 4

id: 4089
unit: def get_shaped_aval()
file: spinoffs/oryx/oryx/core/trace_util.py
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end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 1

id: 4090
unit: def pv_like()
file: spinoffs/oryx/oryx/core/trace_util.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 4091
unit: def intervene()
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file: spinoffs/oryx/oryx/core/state/function.py
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id: 4099
unit: def read()
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id: 4100
unit: def new_instantiated_literal()
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id: 4101
unit: def parents()
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id: 4102
unit: def full_lower()
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id: 4103
unit: def process_map()
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id: 4104
unit: def process_higher_order_primitive()
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unit: def reap_eval()
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id: 4106
unit: def reap_wrapper()
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unit: def __init__()
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id: 4108
unit: def val()
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id: 4109
unit: def ildj()
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id: 4110
unit: def inverse()
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id: 4111
unit: def ildj()
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id: 4112
unit: def ps_ir()
file: discussion/pathfinder/pathfinder.py
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id: 4113
unit: def _update_batch()
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id: 4114
unit: def _merge_dicts()
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unit: def _log_prob()
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unit: def _stddev()
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unit: def _get_mask()
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unit: def _mean()
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unit: def _batch_shape()
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unit: def is_scalar_event()
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unit: def is_scalar_batch()
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id: 4122
unit: def unnormalized_log_prob()
file: tensorflow_probability/python/distributions/distribution.py
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id: 4123
unit: def _build_and_apply_h_projection()
file: tensorflow_probability/python/distributions/pixel_cnn.py
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id: 4124
unit: def _apply_sigmoid_gating()
file: tensorflow_probability/python/distributions/pixel_cnn.py
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id: 4125
unit: def _parameter_properties()
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id: 4126
unit: def _quantile()
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id: 4127
unit: def _variance()
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id: 4128
unit: def scale_matrix()
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id: 4129
unit: def _multi_lgamma()
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id: 4130
unit: def _logits_parameter_no_checks()
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id: 4131
unit: def _log_prob()
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id: 4132
unit: def _observation_size_tensor_no_checks()
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id: 4133
unit: def _event_shape()
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unit: def _get_mask()
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id: 4135
unit: def _batch_shape_tensor_parts()
file: tensorflow_probability/python/distributions/joint_distribution.py
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id: 4136
unit: def _event_shape()
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unit: def _walk_forward()
file: tensorflow_probability/python/distributions/joint_distribution.py
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id: 4138
unit: def _walk_inverse()
file: tensorflow_probability/python/distributions/joint_distribution.py
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id: 4139
unit: def _parameter_properties()
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id: 4140
unit: def _mean()
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id: 4141
unit: def _variance()
file: tensorflow_probability/python/distributions/mvn_low_rank_update_linear_operator_covariance.py
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id: 4142
unit: def _model_unflatten()
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id: 4143
unit: def _prob_with_cdf()
file: tensorflow_probability/python/distributions/quantized_distribution.py
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id: 4144
unit: def _event_shape_tensor()
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number of parameters: 2

id: 4145
unit: def categorical_log_probs()
file: tensorflow_probability/python/distributions/ordered_logistic.py
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id: 4146
unit: def _mode()
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id: 4147
unit: def _log_z()
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id: 4148
unit: def sinc()
file: tensorflow_probability/python/distributions/loglogistic.py
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number of parameters: 2

id: 4149
unit: def _batch_shape_tensor()
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id: 4150
unit: def resolve_graph()
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id: 4151
unit: def _sample_n()
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id: 4152
unit: def _entropy()
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id: 4153
unit: def _covariance()
file: tensorflow_probability/python/distributions/spherical_uniform.py
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id: 4154
unit: def _entropy()
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id: 4155
unit: def _random_gamma_fwd()
file: tensorflow_probability/python/distributions/gamma.py
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id: 4156
unit: def _parameter_properties()
file: tensorflow_probability/python/distributions/chi2.py
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id: 4157
unit: def _kl_gp_compatible()
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number of parameters: 3

id: 4158
unit: def _kl_compatible_gp()
file: tensorflow_probability/python/distributions/gaussian_process.py
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id: 4159
unit: def _batch_shape_tensor()
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number of parameters: 2

id: 4160
unit: def _maximum_likelihood_parameters()
file: tensorflow_probability/python/distributions/mvn_full_covariance.py
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id: 4161
unit: def _parameter_properties()
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id: 4162
unit: def _entropy()
file: tensorflow_probability/python/distributions/normal.py
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id: 4163
unit: def _log_prob()
file: tensorflow_probability/python/distributions/sigmoid_beta.py
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id: 4164
unit: def _default_event_space_bijector()
file: tensorflow_probability/python/distributions/von_mises.py
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number of parameters: 1

id: 4165
unit: def _batch_shape()
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id: 4166
unit: def _log_prob()
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id: 4167
unit: def concat_vectors()
file: tensorflow_probability/python/distributions/poisson_lognormal.py
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id: 4168
unit: def surrogate_posterior_kl_divergence_prior()
file: tensorflow_probability/python/distributions/variational_gaussian_process.py
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number of parameters: 2

id: 4169
unit: def _mean()
file: tensorflow_probability/python/distributions/half_cauchy.py
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id: 4170
unit: def _stddev()
file: tensorflow_probability/python/distributions/half_cauchy.py
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number of parameters: 1

id: 4171
unit: def _kl_logitnormal_logitnormal()
file: tensorflow_probability/python/distributions/logitnormal.py
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number of parameters: 3

id: 4172
unit: def approx_expected_sigmoid()
file: tensorflow_probability/python/distributions/logitnormal.py
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number of parameters: 5

id: 4173
unit: def cross_entropy()
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number of parameters: 4

id: 4174
unit: def _log_prob()
file: tensorflow_probability/python/distributions/bernoulli.py
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id: 4175
unit: def _logits_parameter_no_checks()
file: tensorflow_probability/python/distributions/bernoulli.py
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id: 4176
unit: def _log_prob()
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id: 4177
unit: def _mode()
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id: 4178
unit: def assert_true_mean_equal_by_dkwm()
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id: 4179
unit: def _random_unit_hypersphere()
file: tensorflow_probability/python/distributions/internal/statistical_testing.py
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id: 4180
unit: def logits_parameter()
file: tensorflow_probability/python/distributions/geometric.py
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id: 4181
unit: def probs_parameter()
file: tensorflow_probability/python/distributions/geometric.py
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id: 4182
unit: def _logits_parameter_no_checks()
file: tensorflow_probability/python/distributions/geometric.py
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id: 4183
unit: def _normal_cdf_difference()
file: tensorflow_probability/python/distributions/truncated_normal.py
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id: 4184
unit: def _parameter_properties()
file: tensorflow_probability/python/distributions/horseshoe.py
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id: 4185
unit: def _stddev()
file: tensorflow_probability/python/distributions/horseshoe.py
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id: 4186
unit: def _parameter_properties()
file: tensorflow_probability/python/distributions/mixture.py
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id: 4187
unit: def _expand_to_event_rank()
file: tensorflow_probability/python/distributions/mixture.py
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id: 4188
unit: def _step_axes()
file: tensorflow_probability/python/distributions/markov_chain.py
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id: 4189
unit: def _parameter_properties()
file: tensorflow_probability/python/distributions/markov_chain.py
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id: 4190
unit: def _forward_event_shape()
file: tensorflow_probability/python/distributions/markov_chain.py
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id: 4191
unit: def _forward_event_shape_tensor()
file: tensorflow_probability/python/distributions/markov_chain.py
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id: 4192
unit: def _mean()
file: tensorflow_probability/python/distributions/zipf.py
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id: 4193
unit: def constraint_for()
file: tensorflow_probability/python/distributions/hypothesis_testlib.py
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id: 4194
unit: def assert_shapes_unchanged()
file: tensorflow_probability/python/distributions/hypothesis_testlib.py
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id: 4195
unit: def _slack()
file: tensorflow_probability/python/distributions/deterministic.py
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McCabe index: 3
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id: 4196
unit: def _prob()
file: tensorflow_probability/python/distributions/deterministic.py
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unit: def _prob()
file: tensorflow_probability/python/distributions/deterministic.py
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id: 4198
unit: def _default_event_space_bijector()
file: tensorflow_probability/python/distributions/inverse_gamma.py
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id: 4199
unit: def _mode()
file: tensorflow_probability/python/distributions/negative_binomial.py
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unit: def _logits_parameter_no_checks()
file: tensorflow_probability/python/distributions/negative_binomial.py
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file: tensorflow_probability/python/distributions/continuous_bernoulli.py
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unit: def _parameter_properties()
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unit: def _parameter_properties()
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id: 4204
unit: def _entropy()
file: tensorflow_probability/python/distributions/chi.py
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id: 4205
unit: def _entropy()
file: tensorflow_probability/python/distributions/kumaraswamy.py
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unit: def _mean()
file: tensorflow_probability/python/distributions/pareto.py
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unit: def _parameter_properties()
file: tensorflow_probability/python/distributions/half_normal.py
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id: 4218
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id: 4223
unit: def _kl_lognormal_lognormal()
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unit: def _logits_parameter_no_checks()
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unit: def _log_unnormalized_prob_logits()
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unit: def _cdf()
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unit: def _survival_function()
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unit: def _probits_parameter_no_checks()
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unit: def _transform()
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unit: def params_size()
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unit: def call()
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unit: def _find_best_in_population()
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unit: def _to_str()
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id: 4248
unit: def tree_flatten()
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unit: def from_shape()
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unit: def __repr__()
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unit: def batch_shape()
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unit: def _parameter_properties()
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unit: def _tile_normal_to_mvn_diag()
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unit: def _log_gamma_difference_big_y()
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unit: def _log_ndtr_lower()
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unit: def where_left_justified_mask()
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id: 4463
unit: def set_doc()
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unit: def _make_replica_target_log_prob_fn()
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id: 4465
unit: def _check_holidays()
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id: 4466
unit: def _prefer_static_event_ndims()
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id: 4467
unit: def _zero_dimensional_mvndiag()
file: tensorflow_probability/python/sts/components/regression.py
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McCabe index: 1
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id: 4468
unit: def _pad_mvn_with_trailing_zeros()
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id: 4469
unit: def make_ma_observation_matrix()
file: tensorflow_probability/python/sts/components/autoregressive_moving_average.py
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id: 4470
unit: def _strict_equals()
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id: 4471
unit: def _with_default_bijector()
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id: 4472
unit: def _parameter_samples_from_gibbs_posterior()
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unit: def _forward()
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id: 4474
unit: def _maybe_assert_valid_x()
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id: 4475
unit: def _parameter_properties()
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id: 4476
unit: def _maybe_assert_valid_x()
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unit: def _maybe_assert_valid_x()
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unit: def _forward()
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id: 4479
unit: def _inverse()
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id: 4480
unit: def _negative_concentration_bijector()
file: tensorflow_probability/python/bijectors/generalized_pareto.py
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id: 4481
unit: def _inverse_log_det_jacobian()
file: tensorflow_probability/python/bijectors/softplus.py
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id: 4482
unit: def _parameter_properties()
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id: 4483
unit: def _is_increasing()
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id: 4484
unit: def _forward_event_shape()
file: tensorflow_probability/python/bijectors/transpose.py
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McCabe index: 3
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id: 4485
unit: def assert_strictly_monotonic()
file: tensorflow_probability/python/bijectors/bijector_test_util.py
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id: 4486
unit: def _inverse()
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id: 4487
unit: def _forward_log_det_jacobian()
file: tensorflow_probability/python/bijectors/softmax_centered.py
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id: 4488
unit: def _forward_log_det_jacobian()
file: tensorflow_probability/python/bijectors/power.py
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id: 4489
unit: def _inverse()
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id: 4490
unit: def _parameter_properties()
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id: 4491
unit: def _inverse()
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unit: def _parameter_properties()
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id: 4493
unit: def _inverse_event_shape()
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unit: def _assertions()
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id: 4495
unit: def _list()
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id: 4496
unit: def _forward_log_det_jacobian()
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unit: def _forward_log_det_jacobian()
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id: 4498
unit: def _inverse_dtype()
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id: 4499
unit: def _forward_event_shape()
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id: 4502
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id: 4503
unit: def spline_bin_size_constraint()
file: tensorflow_probability/python/bijectors/hypothesis_testlib.py
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id: 4504
unit: def _inverse_log_det_jacobian()
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unit: def _assertions()
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id: 4506
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id: 4507
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id: 4508
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id: 4509
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file: tensorflow_probability/python/bijectors/real_nvp.py
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id: 4510
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id: 4511
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id: 4512
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id: 4513
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file: tensorflow_probability/python/bijectors/composition.py
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id: 4514
unit: def _event_size()
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id: 4516
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id: 4517
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id: 4518
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id: 4519
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id: 4520
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id: 4521
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id: 4522
unit: def _parameter_properties()
file: tensorflow_probability/python/bijectors/softfloor.py
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id: 4523
unit: def persistent_metropolis_hastings_init()
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McCabe index: 1
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id: 4525
unit: def running_approximate_auto_covariance_step()
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McCabe index: 1
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id: 4526
unit: def _one_part()
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McCabe index: 1
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id: 4527
unit: def map_tree_up_to()
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McCabe index: 1
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id: 4528
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id: 4529
unit: def make_tensor_seed()
file: spinoffs/fun_mc/fun_mc/dynamic/backend_jax/util.py
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unit: def named_call()
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id: 4531
unit: def _gather()
file: spinoffs/fun_mc/fun_mc/dynamic/backend_jax/tf_on_jax.py
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McCabe index: 1
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id: 4532
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McCabe index: 2
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id: 4533
unit: def unnormalized_log_prob()
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McCabe index: 1
number of parameters: 3

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unit: def __init__()
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McCabe index: 1
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McCabe index: 1
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unit: def __init__()
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id: 4538
unit: def prior_distribution()
file: spinoffs/inference_gym/inference_gym/targets/bayesian_model.py
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McCabe index: 1
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id: 4539
unit: def log_likelihood()
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McCabe index: 1
number of parameters: 3

id: 4540
unit: def _per_example_test_nll()
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McCabe index: 1
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id: 4541
unit: def log_gaussian_cox_process()
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McCabe index: 1
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id: 4542
unit: def brownian_motion_unknown_scales_missing_middle_observations()
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McCabe index: 1
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McCabe index: 1
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id: 4544
unit: def radon_indiana()
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McCabe index: 1
number of parameters: 0

id: 4545
unit: def radon_minnesota()
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McCabe index: 1
number of parameters: 0

id: 4546
unit: def synthetic_item_response_theory()
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McCabe index: 1
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unit: def __str__()
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id: 4578
unit: def plate_log_prob_rule()
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unit: def process_custom_vjp_call()
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unit: def _num_leapfrog_steps()
file: discussion/neutra/neutra_kernel.py
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id: 4598
unit: def _flattened_variational_distribution()
file: discussion/neutra/neutra_kernel.py
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id: 4599
unit: def variance()
file: tensorflow_probability/python/stats/sample_stats.py
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unit: def _insert_back_keepdims()
file: tensorflow_probability/python/stats/quantiles.py
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unit: def _entropy()
file: tensorflow_probability/python/distributions/logistic.py
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unit: def _event_shape_tensor()
file: tensorflow_probability/python/distributions/hidden_markov_model.py
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unit: def _vec()
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unit: def _variance()
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unit: def _sample_n()
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file: tensorflow_probability/python/distributions/distribution.py
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id: 4608
unit: def _log_survival_function()
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file: tensorflow_probability/python/distributions/distribution.py
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unit: def _maximum_likelihood_parameters()
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file: tensorflow_probability/python/distributions/distribution.py
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unit: def _batch_shape()
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unit: def _sample_and_log_prob()
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unit: def _log_rate_parameter()
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unit: def _variance()
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unit: def _log_prob()
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unit: def __iter__()
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id: 4627
unit: def _parameter_properties()
file: tensorflow_probability/python/distributions/mvn_low_rank_update_linear_operator_covariance.py
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unit: def __init__()
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id: 4629
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unit: def _probs_parameter_no_checks()
file: tensorflow_probability/python/distributions/relaxed_onehot_categorical.py
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unit: def __call__()
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id: 4632
unit: def _log_prob()
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unit: def _broadcast_variance_like_with_loc()
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unit: def _is_equal_or_close()
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id: 4635
unit: def _mean()
file: tensorflow_probability/python/distributions/spherical_uniform.py
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id: 4636
unit: def _compute_total_concentration()
file: tensorflow_probability/python/distributions/dirichlet_multinomial.py
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id: 4637
unit: def _event_shape_tensor()
file: tensorflow_probability/python/distributions/dirichlet_multinomial.py
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id: 4638
unit: def _rate_parameter()
file: tensorflow_probability/python/distributions/gamma.py
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id: 4639
unit: def _log_rate_parameter()
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id: 4640
unit: def _variance()
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id: 4641
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id: 4642
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id: 4643
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file: tensorflow_probability/python/distributions/gamma.py
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id: 4644
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id: 4645
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id: 4646
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file: tensorflow_probability/python/distributions/uniform.py
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file: tensorflow_probability/python/distributions/dirichlet.py
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unit: def _parameter_properties()
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unit: def fix_normal_inverse_gaussian()
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unit: def posterior_marginal()
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unit: def posterior_mode()
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unit: def _maximum_likelihood_parameters()
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unit: def _maximum_likelihood_parameters()
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unit: def try_get_name()
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id: 4812
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id: 4815
unit: def glorot_uniform()
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id: 4816
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id: 4818
unit: def momentum_distribution_setter_fn()
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unit: def is_calibrated()
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id: 4820
unit: def experimental_with_shard_axes()
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id: 4821
unit: def bootstrap_results()
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id: 4822
unit: def experimental_with_shard_axes()
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id: 4823
unit: def remc_thermodynamic_integrals()
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id: 4824
unit: def hmc_like_num_leapfrog_steps_setter_fn()
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unit: def num_leapfrog_steps_setter_fn()
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unit: def _halton_sequence()
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id: 4827
unit: def _weighted_sum_part()
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unit: def get_inner_results()
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unit: def __init__()
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id: 4830
unit: def initialize()
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id: 4831
unit: def _normalize()
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id: 4832
unit: def get_target_accept_prob()
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unit: def clear_step_adapter()
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id: 4834
unit: def _safe_tensor_scatter_nd_update()
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id: 4835
unit: def _x1_x2()
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unit: def _x1_x2_axis_kernel()
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id: 4837
unit: def _forward_log_det_jacobian()
file: tensorflow_probability/python/experimental/bijectors/sharded.py
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id: 4838
unit: def _inverse_log_det_jacobian()
file: tensorflow_probability/python/experimental/bijectors/sharded.py
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id: 4839
unit: def _batch_shape_tensor()
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id: 4840
unit: def lower_bound_barber_agakov()
file: tensorflow_probability/python/vi/mutual_information.py
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id: 4841
unit: def total_variation()
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id: 4842
unit: def pearson()
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id: 4843
unit: def squared_hellinger()
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id: 4844
unit: def triangular()
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id: 4845
unit: def log1p_abs()
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id: 4846
unit: def jeffreys()
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id: 4847
unit: def chi_square()
file: tensorflow_probability/python/vi/csiszar_divergence.py
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id: 4848
unit: def batch_shape()
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unit: def _broadcast_parameters_with_batch_shape()
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id: 4853
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id: 4854
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id: 4858
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id: 4859
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id: 4860
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id: 4861
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id: 4863
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id: 4864
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file: tensorflow_probability/python/math/ode/bdf_util.py
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id: 4865
unit: def scale_errors()
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id: 4866
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id: 4867
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id: 4868
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file: tensorflow_probability/python/math/generic.py
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id: 4869
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id: 4870
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id: 4873
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id: 4878
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id: 4881
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McCabe index: 1
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unit: def _prefer_static_shape()
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unit: def _shape_tensor()
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McCabe index: 1
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unit: def _assert_positive_definite()
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unit: def _matvec()
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unit: def _solvevec()
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unit: def add_to_tensor()
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unit: def __init__()
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unit: def _serialize()
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unit: def _logdet()
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id: 4902
unit: def _assert_self_adjoint()
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McCabe index: 4
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id: 4903
unit: def convolution_kernel()
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McCabe index: 1
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unit: def _assert_non_singular()
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McCabe index: 1
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unit: def _determinant()
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unit: def _check_diag()
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unit: def _shape_tensor()
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unit: def _assert_non_singular()
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unit: def _add_to_tensor()
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unit: def _cond()
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unit: def _assert_non_singular()
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unit: def _assert_positive_definite()
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unit: def _shape_tensor()
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unit: def _determinant()
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unit: def _trace()
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unit: def _to_dense()
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id: 4917
unit: def dimension_value()
file: tensorflow_probability/python/internal/backend/numpy/gen/tensor_shape.py
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McCabe index: 2
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id: 4918
unit: def is_compatible_with()
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id: 4919
unit: def assert_is_compatible_with()
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McCabe index: 2
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id: 4920
unit: def _v2_behavior()
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McCabe index: 2
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id: 4921
unit: def rank()
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McCabe index: 2
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id: 4922
unit: def __len__()
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McCabe index: 2
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id: 4923
unit: def __radd__()
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McCabe index: 2
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id: 4924
unit: def as_list()
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unit: def __init__()
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id: 4926
unit: def _shape()
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unit: def _trace()
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id: 4928
unit: def _diag_part()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator_toeplitz.py
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McCabe index: 1
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id: 4929
unit: def _assert_non_singular()
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McCabe index: 1
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id: 4930
unit: def _solve()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator_lower_triangular.py
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McCabe index: 2
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id: 4931
unit: def yield_flat_paths()
file: tensorflow_probability/python/internal/backend/numpy/nest.py
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id: 4932
unit: def __init__()
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id: 4933
unit: def numpy_text()
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id: 4934
unit: def _invert_permutation()
file: tensorflow_probability/python/internal/backend/numpy/numpy_math.py
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McCabe index: 1
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id: 4935
unit: def _segment_mean()
file: tensorflow_probability/python/internal/backend/numpy/numpy_math.py
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McCabe index: 1
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id: 4936
unit: def _reciprocal_no_nan()
file: tensorflow_probability/python/internal/backend/numpy/numpy_math.py
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id: 4937
unit: def _softplus()
file: tensorflow_probability/python/internal/backend/numpy/numpy_math.py
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McCabe index: 2
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id: 4938
unit: def unstack()
file: tensorflow_probability/python/internal/backend/numpy/tensor_array_ops.py
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id: 4939
unit: def _rfftn()
file: tensorflow_probability/python/internal/backend/numpy/numpy_signal.py
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McCabe index: 1
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id: 4940
unit: def _irfftn()
file: tensorflow_probability/python/internal/backend/numpy/numpy_signal.py
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id: 4941
unit: def _full_flatten()
file: tensorflow_probability/python/internal/numerics_testing.py
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McCabe index: 1
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id: 4942
unit: def assert_rank_at_most()
file: tensorflow_probability/python/internal/assert_util.py
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id: 4943
unit: def _sanitize_parameters()
file: tensorflow_probability/python/internal/trainable_state_util.py
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id: 4944
unit: def _cached_signature()
file: tensorflow_probability/python/internal/auto_composite_tensor.py
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McCabe index: 2
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id: 4945
unit: def expand_as_args()
file: tensorflow_probability/python/internal/nest_util.py
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id: 4946
unit: def guitar_skip_if_matches()
file: tensorflow_probability/python/internal/hypothesis_testlib.py
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McCabe index: 3
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id: 4947
unit: def usage_counting_identity()
file: tensorflow_probability/python/internal/hypothesis_testlib.py
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id: 4948
unit: def _prevent_gradient_helper_jvp()
file: tensorflow_probability/python/internal/custom_gradient.py
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id: 4949
unit: def is_valid_gradient()
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McCabe index: 2
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id: 4950
unit: def left_justified_broadcast_to()
file: tensorflow_probability/python/internal/broadcast_util.py
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McCabe index: 2
number of parameters: 3

id: 4951
unit: def __eq__()
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McCabe index: 2
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id: 4952
unit: def __repr__()
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unit: def __eq__()
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unit: def __repr__()
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unit: def _containerize()
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id: 4957
unit: def __str__()
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id: 4958
unit: def __repr__()
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id: 4959
unit: def _base_name_scope()
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id: 4960
unit: def _call()
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id: 4961
unit: def _as_logits()
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unit: def _call()
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id: 4963
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unit: def _call()
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unit: def _as_distribution()
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id: 4968
unit: def num_cols()
file: tensorflow_probability/python/glm/fisher_scoring.py
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McCabe index: 2
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id: 4969
unit: def copy()
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McCabe index: 1
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id: 4970
unit: def experimental_with_shard_axes()
file: tensorflow_probability/python/mcmc/metropolis_hastings.py
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McCabe index: 1
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id: 4971
unit: def __init__()
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McCabe index: 6
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id: 4972
unit: def _multiply()
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McCabe index: 2
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id: 4973
unit: def experimental_with_shard_axes()
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McCabe index: 1
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id: 4974
unit: def _maybe_embed_inverse_temperature_validation()
file: tensorflow_probability/python/mcmc/replica_exchange_mc.py
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McCabe index: 1
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id: 4975
unit: def _swap_log_prob_and_maybe_grads()
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McCabe index: 1
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id: 4976
unit: def _find_nested_target_log_prob_recursively()
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McCabe index: 1
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id: 4977
unit: def experimental_with_shard_axes()
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McCabe index: 1
number of parameters: 2

id: 4978
unit: def _safe_tensor_scatter_nd_update()
file: tensorflow_probability/python/mcmc/nuts.py
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McCabe index: 2
number of parameters: 3

id: 4979
unit: def experimental_with_shard_axes()
file: tensorflow_probability/python/mcmc/simple_step_size_adaptation.py
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McCabe index: 1
number of parameters: 2

id: 4980
unit: def experimental_with_shard_axes()
file: tensorflow_probability/python/mcmc/dual_averaging_step_size_adaptation.py
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McCabe index: 1
number of parameters: 2

id: 4981
unit: def _maybe_broadcast_volatility()
file: tensorflow_probability/python/mcmc/langevin.py
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McCabe index: 2
number of parameters: 2

id: 4982
unit: def benchmark_eight_schools_hmc_num_leapfrog_1()
file: tensorflow_probability/python/mcmc/eight_schools_hmc.py
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McCabe index: 1
number of parameters: 1

id: 4983
unit: def benchmark_eight_schools_hmc_num_leapfrog_2()
file: tensorflow_probability/python/mcmc/eight_schools_hmc.py
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size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 4984
unit: def benchmark_eight_schools_hmc_num_leapfrog_3()
file: tensorflow_probability/python/mcmc/eight_schools_hmc.py
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McCabe index: 1
number of parameters: 1

id: 4985
unit: def benchmark_eight_schools_hmc_num_leapfrog_10()
file: tensorflow_probability/python/mcmc/eight_schools_hmc.py
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McCabe index: 1
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id: 4986
unit: def benchmark_eight_schools_hmc_num_leapfrog_20()
file: tensorflow_probability/python/mcmc/eight_schools_hmc.py
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McCabe index: 1
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id: 4987
unit: def __call__()
file: tensorflow_probability/python/bijectors/ldj_ratio.py
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id: 4988
unit: def __call__()
file: tensorflow_probability/python/bijectors/ldj_ratio.py
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McCabe index: 1
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id: 4989
unit: def _forward_log_det_jacobian()
file: tensorflow_probability/python/bijectors/gumbel_cdf.py
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McCabe index: 1
number of parameters: 2

id: 4990
unit: def _forward_event_shape_tensor()
file: tensorflow_probability/python/bijectors/blockwise.py
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McCabe index: 2
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id: 4991
unit: def _inverse_event_shape_tensor()
file: tensorflow_probability/python/bijectors/blockwise.py
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McCabe index: 2
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McCabe index: 3
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McCabe index: 1
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unit: def _inverse()
file: tensorflow_probability/python/bijectors/generalized_pareto.py
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McCabe index: 1
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id: 4995
unit: def _forward_log_det_jacobian()
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McCabe index: 1
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id: 4996
unit: def _inverse_log_det_jacobian()
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McCabe index: 1
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file: tensorflow_probability/python/bijectors/softplus.py
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McCabe index: 2
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file: tensorflow_probability/python/bijectors/transpose.py
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McCabe index: 2
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McCabe index: 1
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McCabe index: 2
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McCabe index: 2
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unit: def _inverse_event_shape_tensor()
file: tensorflow_probability/python/bijectors/scale_matvec_linear_operator.py
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size: 4 LOC
McCabe index: 2
number of parameters: 2

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unit: def __str__()
file: tensorflow_probability/python/bijectors/invert.py
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size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 5005
unit: def __repr__()
file: tensorflow_probability/python/bijectors/invert.py
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size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 5006
unit: def _inverse_log_det_jacobian()
file: tensorflow_probability/python/bijectors/softmax_centered.py
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size: 4 LOC
McCabe index: 3
number of parameters: 2

id: 5007
unit: def _parameter_properties()
file: tensorflow_probability/python/bijectors/restructure.py
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size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 5008
unit: def forward_dtype()
file: tensorflow_probability/python/bijectors/restructure.py
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size: 4 LOC
McCabe index: 2
number of parameters: 3

id: 5009
unit: def inverse_dtype()
file: tensorflow_probability/python/bijectors/restructure.py
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size: 4 LOC
McCabe index: 2
number of parameters: 3

id: 5010
unit: def _call_forward_log_det_jacobian()
file: tensorflow_probability/python/bijectors/restructure.py
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size: 4 LOC
McCabe index: 1
number of parameters: 5

id: 5011
unit: def _call_inverse_log_det_jacobian()
file: tensorflow_probability/python/bijectors/restructure.py
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id: 5012
unit: def pack_sequence_as()
file: tensorflow_probability/python/bijectors/restructure.py
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size: 4 LOC
McCabe index: 1
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id: 5013
unit: def _forward()
file: tensorflow_probability/python/bijectors/power.py
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size: 4 LOC
McCabe index: 1
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id: 5014
unit: def _forward()
file: tensorflow_probability/python/bijectors/frechet_cdf.py
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size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 5015
unit: def _inverse()
file: tensorflow_probability/python/bijectors/frechet_cdf.py
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size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 5016
unit: def _xexp_delta_squared()
file: tensorflow_probability/python/bijectors/lambertw_transform.py
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size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 5017
unit: def _forward()
file: tensorflow_probability/python/bijectors/kumaraswamy_cdf.py
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id: 5018
unit: def _forward()
file: tensorflow_probability/python/bijectors/householder.py
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number of parameters: 2

id: 5019
unit: def _forward()
file: tensorflow_probability/python/bijectors/discrete_cosine_transform.py
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size: 4 LOC
McCabe index: 3
number of parameters: 2

id: 5020
unit: def _inverse()
file: tensorflow_probability/python/bijectors/discrete_cosine_transform.py
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size: 4 LOC
McCabe index: 3
number of parameters: 2

id: 5021
unit: def _inverse_log_det_jacobian()
file: tensorflow_probability/python/bijectors/power_transform.py
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size: 4 LOC
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number of parameters: 2

id: 5022
unit: def _inverse()
file: tensorflow_probability/python/bijectors/sigmoid.py
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McCabe index: 2
number of parameters: 2

id: 5023
unit: def _is_increasing()
file: tensorflow_probability/python/bijectors/scale.py
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size: 4 LOC
McCabe index: 2
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id: 5024
unit: def _parameter_properties()
file: tensorflow_probability/python/bijectors/split.py
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number of parameters: 2

id: 5025
unit: def _walk_forward()
file: tensorflow_probability/python/bijectors/chain.py
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number of parameters: 4

id: 5026
unit: def _walk_inverse()
file: tensorflow_probability/python/bijectors/chain.py
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size: 4 LOC
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number of parameters: 4

id: 5027
unit: def _parameter_properties()
file: tensorflow_probability/python/bijectors/reshape.py
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size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 5028
unit: def _forward_event_shape()
file: tensorflow_probability/python/bijectors/iterated_sigmoid_centered.py
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size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 5029
unit: def _inverse_log_det_jacobian()
file: tensorflow_probability/python/bijectors/iterated_sigmoid_centered.py
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size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 5030
unit: def distribution_eligilibility_filter_for()
file: tensorflow_probability/python/bijectors/hypothesis_testlib.py
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size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 5031
unit: def frechet_constraint()
file: tensorflow_probability/python/bijectors/hypothesis_testlib.py
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size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 5032
unit: def _parameter_properties()
file: tensorflow_probability/python/bijectors/scale_matvec_diag.py
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size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 5033
unit: def _inverse()
file: tensorflow_probability/python/bijectors/moyal_cdf.py
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size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 5034
unit: def _forward_log_det_jacobian()
file: tensorflow_probability/python/bijectors/moyal_cdf.py
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size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 5035
unit: def _inverse_log_det_jacobian()
file: tensorflow_probability/python/bijectors/absolute_value.py
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McCabe index: 1
number of parameters: 2

id: 5036
unit: def _forward()
file: tensorflow_probability/python/bijectors/cholesky_outer_product.py
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McCabe index: 1
number of parameters: 2

id: 5037
unit: def _forward()
file: tensorflow_probability/python/bijectors/gompertz_cdf.py
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size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 5038
unit: def _inverse()
file: tensorflow_probability/python/bijectors/sinh_arcsinh.py
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McCabe index: 1
number of parameters: 2

id: 5039
unit: def _inverse_event_shape_tensor()
file: tensorflow_probability/python/bijectors/correlation_cholesky.py
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size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 5040
unit: def _forward_event_shape_tensor()
file: tensorflow_probability/python/bijectors/fill_triangular.py
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size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 5041
unit: def bijectors()
file: tensorflow_probability/python/bijectors/composition.py
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McCabe index: 2
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id: 5042
unit: def _forward()
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unit: def _forward_event_shape_tensor()
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unit: def _inverse_event_shape_tensor()
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unit: def _forward_event_shape()
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unit: def _inverse_event_shape()
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id: 5047
unit: def _forward_dtype()
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McCabe index: 1
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id: 5048
unit: def _inverse_dtype()
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McCabe index: 1
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id: 5049
unit: def __repr__()
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id: 5050
unit: def _get_parameterization()
file: tensorflow_probability/python/bijectors/bijector.py
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McCabe index: 3
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id: 5051
unit: def __repr__()
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id: 5052
unit: def _str_tensorshape()
file: tensorflow_probability/python/bijectors/bijector.py
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id: 5053
unit: def _trace_extra()
file: spinoffs/fun_mc/fun_mc/fun_mc_lib.py
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McCabe index: 1
number of parameters: 2

id: 5054
unit: def call_fn()
file: spinoffs/fun_mc/fun_mc/fun_mc_lib.py
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McCabe index: 1
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id: 5055
unit: def call_potential_fn()
file: spinoffs/fun_mc/fun_mc/fun_mc_lib.py
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McCabe index: 1
number of parameters: 0

id: 5056
unit: def call_transition_operator()
file: spinoffs/fun_mc/fun_mc/fun_mc_lib.py
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McCabe index: 1
number of parameters: 0

id: 5057
unit: def call_transport_map()
file: spinoffs/fun_mc/fun_mc/fun_mc_lib.py
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size: 3 LOC
McCabe index: 1
number of parameters: 0

id: 5058
unit: def call_transport_map_with_ldj()
file: spinoffs/fun_mc/fun_mc/fun_mc_lib.py
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size: 3 LOC
McCabe index: 1
number of parameters: 0

id: 5059
unit: def make_gaussian_kinetic_energy_fn()
file: spinoffs/fun_mc/fun_mc/fun_mc_lib.py
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size: 3 LOC
McCabe index: 1
number of parameters: 0

id: 5060
unit: def gradient_descent_init()
file: spinoffs/fun_mc/fun_mc/fun_mc_lib.py
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McCabe index: 1
number of parameters: 1

id: 5061
unit: def gradient_descent_step()
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McCabe index: 1
number of parameters: 0

id: 5062
unit: def _sample_part()
file: spinoffs/fun_mc/fun_mc/fun_mc_lib.py
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McCabe index: 1
number of parameters: 3

id: 5063
unit: def potential_scale_reduction_init()
file: spinoffs/fun_mc/fun_mc/fun_mc_lib.py
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id: 5064
unit: def make_surrogate_loss_fn()
file: spinoffs/fun_mc/fun_mc/fun_mc_lib.py
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id: 5065
unit: def simple_dual_averages_init()
file: spinoffs/fun_mc/fun_mc/fun_mc_lib.py
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McCabe index: 1
number of parameters: 0

id: 5066
unit: def get_filename()
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McCabe index: 1
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id: 5067
unit: def _tqdm_progress_bar_fn()
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McCabe index: 1
number of parameters: 1

id: 5068
unit: def random_uniform()
file: spinoffs/fun_mc/fun_mc/dynamic/backend_jax/util.py
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McCabe index: 1
number of parameters: 3

id: 5069
unit: def random_normal()
file: spinoffs/fun_mc/fun_mc/dynamic/backend_jax/util.py
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McCabe index: 1
number of parameters: 3

id: 5070
unit: def value_and_ldj()
file: spinoffs/fun_mc/fun_mc/dynamic/backend_jax/util.py
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McCabe index: 1
number of parameters: 2

id: 5071
unit: def _convert_to_tensor()
file: spinoffs/fun_mc/fun_mc/dynamic/backend_jax/tf_on_jax.py
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McCabe index: 1
number of parameters: 3

id: 5072
unit: def value_and_ldj()
file: spinoffs/fun_mc/fun_mc/dynamic/backend_tensorflow/util.py
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McCabe index: 1
number of parameters: 2

id: 5073
unit: def _sum_event_part()
file: spinoffs/fun_mc/fun_mc/sga_hmc.py
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McCabe index: 1
number of parameters: 2

id: 5074
unit: def log_likelihood_fn()
file: spinoffs/inference_gym/inference_gym/targets/plasma_spectroscopy.py
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McCabe index: 1
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id: 5075
unit: def log_likelihood_fn()
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McCabe index: 1
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id: 5076
unit: def event_shape()
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McCabe index: 1
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id: 5077
unit: def _unnormalized_log_prob()
file: spinoffs/inference_gym/inference_gym/targets/bayesian_model.py
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McCabe index: 1
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id: 5078
unit: def _unnormalized_log_prob()
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McCabe index: 1
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id: 5079
unit: def _get_vector_event_shape()
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McCabe index: 1
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id: 5080
unit: def get_filename()
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McCabe index: 1
number of parameters: 2

id: 5081
unit: def brownian_motion_missing_middle_observations()
file: spinoffs/inference_gym/inference_gym/tools/stan/targets.py
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McCabe index: 1
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id: 5082
unit: def convection_lorenz_bridge()
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McCabe index: 1
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id: 5083
unit: def stochastic_volatility_sp500()
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McCabe index: 1
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id: 5084
unit: def stochastic_volatility_sp500_small()
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McCabe index: 1
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id: 5085
unit: def stochastic_volatility_log_sp500()
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McCabe index: 1
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id: 5086
unit: def stochastic_volatility_log_sp500_small()
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McCabe index: 1
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id: 5087
unit: def synthetic_log_gaussian_cox_process()
file: spinoffs/inference_gym/inference_gym/tools/stan/targets.py
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McCabe index: 1
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id: 5088
unit: def get_ground_truth_module_source()
file: spinoffs/inference_gym/inference_gym/internal/ground_truth_encoding.py
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McCabe index: 1
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id: 5089
unit: def german_credit_numeric()
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McCabe index: 1
number of parameters: 0

id: 5090
unit: def synthetic_log_gaussian_cox_process()
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McCabe index: 1
number of parameters: 0

id: 5091
unit: def pytest_collection_finish()
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McCabe index: 2
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id: 5092
unit: def match()
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McCabe index: 1
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id: 5093
unit: def __init__()
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id: 5094
unit: def primitive_tree_map()
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McCabe index: 1
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id: 5095
unit: def evaluate()
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unit: def evaluate_value()
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unit: def tree_map()
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McCabe index: 1
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unit: def spec()
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McCabe index: 1
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unit: def global_norm()
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McCabe index: 2
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unit: def _update_moment()
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McCabe index: 1
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id: 5111
unit: def mala()
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McCabe index: 1
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id: 5112
unit: def evaluate()
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McCabe index: 1
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unit: def split_einsum_formula()
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McCabe index: 1
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unit: def log_soomean_exp()
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unit: def _mean()
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unit: def _marginal_hidden_probs()
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id: 5210
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file: tensorflow_probability/python/distributions/joint_distribution.py
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file: tensorflow_probability/python/distributions/dpp.py
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file: tensorflow_probability/python/distributions/dpp.py
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unit: def _event_shape()
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unit: def logits_parameter()
file: tensorflow_probability/python/distributions/relaxed_onehot_categorical.py
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unit: def probs_parameter()
file: tensorflow_probability/python/distributions/relaxed_onehot_categorical.py
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size: 3 LOC
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number of parameters: 2

id: 5235
unit: def _default_event_space_bijector()
file: tensorflow_probability/python/distributions/relaxed_onehot_categorical.py
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unit: def _sample_n()
file: tensorflow_probability/python/distributions/ordered_logistic.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 5237
unit: def _entropy()
file: tensorflow_probability/python/distributions/ordered_logistic.py
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size: 3 LOC
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number of parameters: 1

id: 5238
unit: def _event_shape_tensor()
file: tensorflow_probability/python/distributions/power_spherical.py
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size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 5239
unit: def logits_parameter()
file: tensorflow_probability/python/distributions/finite_discrete.py
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id: 5240
unit: def probs_parameter()
file: tensorflow_probability/python/distributions/finite_discrete.py
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size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 5241
unit: def __getitem__()
file: tensorflow_probability/python/distributions/spherical_uniform.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 5242
unit: def compute_total_concentration()
file: tensorflow_probability/python/distributions/dirichlet_multinomial.py
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size: 3 LOC
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number of parameters: 1

id: 5243
unit: def _cdf()
file: tensorflow_probability/python/distributions/gamma.py
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number of parameters: 2

id: 5244
unit: def _fix_zero_samples()
file: tensorflow_probability/python/distributions/gamma.py
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number of parameters: 1

id: 5245
unit: def _add_diagonal_shift()
file: tensorflow_probability/python/distributions/gaussian_process.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 5246
unit: def _log_survival_function()
file: tensorflow_probability/python/distributions/gaussian_process.py
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size: 3 LOC
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id: 5247
unit: def range()
file: tensorflow_probability/python/distributions/uniform.py
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size: 3 LOC
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number of parameters: 2

id: 5248
unit: def _default_event_space_bijector()
file: tensorflow_probability/python/distributions/uniform.py
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size: 3 LOC
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id: 5249
unit: def _maximum_likelihood_parameters()
file: tensorflow_probability/python/distributions/uniform.py
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id: 5250
unit: def _unvec()
file: tensorflow_probability/python/distributions/matrix_normal_linear_operator.py
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McCabe index: 1
number of parameters: 2

id: 5251
unit: def _z()
file: tensorflow_probability/python/distributions/normal.py
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number of parameters: 3

id: 5252
unit: def _maximum_likelihood_parameters()
file: tensorflow_probability/python/distributions/normal.py
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size: 3 LOC
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number of parameters: 2

id: 5253
unit: def _log_unnormalized_prob()
file: tensorflow_probability/python/distributions/sigmoid_beta.py
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size: 3 LOC
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number of parameters: 4

id: 5254
unit: def compute_num_samples()
file: tensorflow_probability/python/distributions/empirical.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 5255
unit: def _event_shape_tensor()
file: tensorflow_probability/python/distributions/dirichlet.py
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size: 3 LOC
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id: 5256
unit: def _default_event_space_bijector()
file: tensorflow_probability/python/distributions/dirichlet.py
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size: 3 LOC
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number of parameters: 1

id: 5257
unit: def _log_unnormalized_prob()
file: tensorflow_probability/python/distributions/von_mises.py
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number of parameters: 4

id: 5258
unit: def _mean()
file: tensorflow_probability/python/distributions/von_mises.py
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number of parameters: 1

id: 5259
unit: def _z()
file: tensorflow_probability/python/distributions/von_mises.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 5260
unit: def _von_mises_sample_fwd()
file: tensorflow_probability/python/distributions/von_mises.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 5261
unit: def _default_event_space_bijector()
file: tensorflow_probability/python/distributions/cholesky_lkj.py
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size: 3 LOC
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number of parameters: 1

id: 5262
unit: def _entropy()
file: tensorflow_probability/python/distributions/gumbel.py
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number of parameters: 1

id: 5263
unit: def _mode()
file: tensorflow_probability/python/distributions/pert.py
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id: 5264
unit: def _default_event_space_bijector()
file: tensorflow_probability/python/distributions/pert.py
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number of parameters: 1

id: 5265
unit: def _batch_shape_tensor()
file: tensorflow_probability/python/distributions/batch_reshape.py
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size: 3 LOC
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number of parameters: 1

id: 5266
unit: def _log_prob()
file: tensorflow_probability/python/distributions/batch_reshape.py
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number of parameters: 3

id: 5267
unit: def _prob()
file: tensorflow_probability/python/distributions/batch_reshape.py
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number of parameters: 3

id: 5268
unit: def _log_cdf()
file: tensorflow_probability/python/distributions/batch_reshape.py
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McCabe index: 1
number of parameters: 3

id: 5269
unit: def _cdf()
file: tensorflow_probability/python/distributions/batch_reshape.py
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McCabe index: 1
number of parameters: 3

id: 5270
unit: def _log_survival_function()
file: tensorflow_probability/python/distributions/batch_reshape.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 5271
unit: def _survival_function()
file: tensorflow_probability/python/distributions/batch_reshape.py
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number of parameters: 3

id: 5272
unit: def _mean()
file: tensorflow_probability/python/distributions/batch_reshape.py
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id: 5273
unit: def _mode()
file: tensorflow_probability/python/distributions/batch_reshape.py
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number of parameters: 2

id: 5274
unit: def _stddev()
file: tensorflow_probability/python/distributions/batch_reshape.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 5275
unit: def _variance()
file: tensorflow_probability/python/distributions/batch_reshape.py
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number of parameters: 2

id: 5276
unit: def _forward()
file: tensorflow_probability/python/distributions/lkj.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 5277
unit: def _add_diagonal_shift()
file: tensorflow_probability/python/distributions/variational_gaussian_process.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 5278
unit: def _entropy()
file: tensorflow_probability/python/distributions/half_cauchy.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 5279
unit: def _get_safe_input()
file: tensorflow_probability/python/distributions/half_cauchy.py
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size: 3 LOC
McCabe index: 1
number of parameters: 4

id: 5280
unit: def stddev_approx()
file: tensorflow_probability/python/distributions/logitnormal.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 5281
unit: def _cdf()
file: tensorflow_probability/python/distributions/bernoulli.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 5282
unit: def logits_parameter()
file: tensorflow_probability/python/distributions/bernoulli.py
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size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 5283
unit: def probs_parameter()
file: tensorflow_probability/python/distributions/bernoulli.py
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size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 5284
unit: def _parameter_control_dependencies()
file: tensorflow_probability/python/distributions/bernoulli.py
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size: 3 LOC
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number of parameters: 2

id: 5285
unit: def logits_parameter()
file: tensorflow_probability/python/distributions/categorical.py
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size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 5286
unit: def probs_parameter()
file: tensorflow_probability/python/distributions/categorical.py
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size: 3 LOC
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number of parameters: 2

id: 5287
unit: def _parameter_control_dependencies()
file: tensorflow_probability/python/distributions/categorical.py
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size: 3 LOC
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number of parameters: 2

id: 5288
unit: def _variance()
file: tensorflow_probability/python/distributions/geometric.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 5289
unit: def _normal_pdf()
file: tensorflow_probability/python/distributions/truncated_normal.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 5290
unit: def _normal_log_pdf()
file: tensorflow_probability/python/distributions/truncated_normal.py
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size: 3 LOC
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number of parameters: 1

id: 5291
unit: def _default_event_space_bijector()
file: tensorflow_probability/python/distributions/truncated_normal.py
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size: 3 LOC
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number of parameters: 1

id: 5292
unit: def _random_inverse_gaussian_gradient()
file: tensorflow_probability/python/distributions/inverse_gaussian.py
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number of parameters: 4

id: 5293
unit: def _mean()
file: tensorflow_probability/python/distributions/skellam.py
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number of parameters: 1

id: 5294
unit: def _variance()
file: tensorflow_probability/python/distributions/skellam.py
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size: 3 LOC
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number of parameters: 1

id: 5295
unit: def rate1_parameter()
file: tensorflow_probability/python/distributions/skellam.py
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McCabe index: 2
number of parameters: 2

id: 5296
unit: def log_rate1_parameter()
file: tensorflow_probability/python/distributions/skellam.py
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size: 3 LOC
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number of parameters: 2

id: 5297
unit: def rate2_parameter()
file: tensorflow_probability/python/distributions/skellam.py
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size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 5298
unit: def log_rate2_parameter()
file: tensorflow_probability/python/distributions/skellam.py
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size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 5299
unit: def _mean()
file: tensorflow_probability/python/distributions/exponentially_modified_gaussian.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 5300
unit: def logits_parameter()
file: tensorflow_probability/python/distributions/multinomial.py
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size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 5301
unit: def probs_parameter()
file: tensorflow_probability/python/distributions/multinomial.py
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size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 5302
unit: def _add_diagonal_shift()
file: tensorflow_probability/python/distributions/student_t_process.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 5303
unit: def _log_survival_function()
file: tensorflow_probability/python/distributions/student_t_process.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 5304
unit: def _sample_and_log_prob()
file: tensorflow_probability/python/distributions/markov_chain.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 5305
unit: def _inverse_dtype()
file: tensorflow_probability/python/distributions/markov_chain.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 5306
unit: def _forward_dtype()
file: tensorflow_probability/python/distributions/markov_chain.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 5307
unit: def fix_finite_discrete()
file: tensorflow_probability/python/distributions/hypothesis_testlib.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 5308
unit: def _event_shape_tensor()
file: tensorflow_probability/python/distributions/deterministic.py
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McCabe index: 1
number of parameters: 2

id: 5309
unit: def _cdf()
file: tensorflow_probability/python/distributions/deterministic.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 5310
unit: def _kl_deterministic_distribution()
file: tensorflow_probability/python/distributions/deterministic.py
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size: 3 LOC
McCabe index: 2
number of parameters: 3

id: 5311
unit: def _cdf()
file: tensorflow_probability/python/distributions/generalized_normal.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 5312
unit: def _survival_function()
file: tensorflow_probability/python/distributions/generalized_normal.py
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size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 5313
unit: def _mean()
file: tensorflow_probability/python/distributions/generalized_normal.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 5314
unit: def _log_prob()
file: tensorflow_probability/python/distributions/mixture_same_family.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 5315
unit: def _outer_squared_difference()
file: tensorflow_probability/python/distributions/mixture_same_family.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 5316
unit: def _quantile()
file: tensorflow_probability/python/distributions/inverse_gamma.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 5317
unit: def _mean()
file: tensorflow_probability/python/distributions/negative_binomial.py
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size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 5318
unit: def _variance()
file: tensorflow_probability/python/distributions/negative_binomial.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 5319
unit: def logits_parameter()
file: tensorflow_probability/python/distributions/negative_binomial.py
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size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 5320
unit: def probs_parameter()
file: tensorflow_probability/python/distributions/negative_binomial.py
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size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 5321
unit: def _log_unnormalized_prob()
file: tensorflow_probability/python/distributions/beta.py
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McCabe index: 1
number of parameters: 4

id: 5322
unit: def _mean()
file: tensorflow_probability/python/distributions/beta.py
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McCabe index: 1
number of parameters: 1

id: 5323
unit: def _log_abs_determinant()
file: tensorflow_probability/python/distributions/mvn_tril.py
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McCabe index: 1
number of parameters: 1

id: 5324
unit: def _z()
file: tensorflow_probability/python/distributions/doublesided_maxwell.py
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size: 3 LOC
McCabe index: 2
number of parameters: 3

id: 5325
unit: def logits_parameter()
file: tensorflow_probability/python/distributions/continuous_bernoulli.py
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size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 5326
unit: def probs_parameter()
file: tensorflow_probability/python/distributions/continuous_bernoulli.py
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size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 5327
unit: def _parameter_control_dependencies()
file: tensorflow_probability/python/distributions/continuous_bernoulli.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 5328
unit: def _cdf()
file: tensorflow_probability/python/distributions/exponential.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 5329
unit: def _variance()
file: tensorflow_probability/python/distributions/chi.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 5330
unit: def _harmonic_number()
file: tensorflow_probability/python/distributions/kumaraswamy.py
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McCabe index: 1
number of parameters: 1

id: 5331
unit: def _log_cdf()
file: tensorflow_probability/python/distributions/kumaraswamy.py
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McCabe index: 1
number of parameters: 2

id: 5332
unit: def _mode()
file: tensorflow_probability/python/distributions/pareto.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 5333
unit: def _cdf()
file: tensorflow_probability/python/distributions/half_normal.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 5334
unit: def _survival_function()
file: tensorflow_probability/python/distributions/half_normal.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 5335
unit: def _inverse()
file: tensorflow_probability/python/distributions/masked.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 5336
unit: def _sample_n()
file: tensorflow_probability/python/distributions/stopping_ratio_logistic.py
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McCabe index: 1
number of parameters: 3

id: 5337
unit: def _log_prob()
file: tensorflow_probability/python/distributions/stopping_ratio_logistic.py
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McCabe index: 1
number of parameters: 2

id: 5338
unit: def _cdf()
file: tensorflow_probability/python/distributions/stopping_ratio_logistic.py
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McCabe index: 1
number of parameters: 2

id: 5339
unit: def _default_kwargs_split_fn()
file: tensorflow_probability/python/distributions/transformed_distribution.py
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McCabe index: 1
number of parameters: 1

id: 5340
unit: def _event_shape_tensor()
file: tensorflow_probability/python/distributions/transformed_distribution.py
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McCabe index: 1
number of parameters: 1

id: 5341
unit: def _single_event_shape()
file: tensorflow_probability/python/distributions/batch_broadcast.py
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McCabe index: 1
number of parameters: 1

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unit: def _single_event_shape_tensor()
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McCabe index: 1
number of parameters: 1

id: 5343
unit: def _bcast_y()
file: tensorflow_probability/python/distributions/batch_broadcast.py
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McCabe index: 1
number of parameters: 2

id: 5344
unit: def _cdf()
file: tensorflow_probability/python/distributions/student_t.py
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McCabe index: 1
number of parameters: 2

id: 5345
unit: def _mode()
file: tensorflow_probability/python/distributions/student_t.py
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McCabe index: 1
number of parameters: 1

id: 5346
unit: def _log_prob()
file: tensorflow_probability/python/distributions/independent.py
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McCabe index: 1
number of parameters: 3

id: 5347
unit: def _unnormalized_log_prob()
file: tensorflow_probability/python/distributions/independent.py
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McCabe index: 1
number of parameters: 3

id: 5348
unit: def _reduce()
file: tensorflow_probability/python/distributions/independent.py
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McCabe index: 1
number of parameters: 3

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unit: def _batchwise_reduce_sum()
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unit: def _compute_num_states_batched()
file: tensorflow_probability/python/experimental/mcmc/nuts_autobatching.py
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id: 5466
unit: def _tf_where()
file: tensorflow_probability/python/experimental/mcmc/nuts_autobatching.py
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id: 5467
unit: def hmc_like_momentum_distribution_setter_fn()
file: tensorflow_probability/python/experimental/mcmc/diagonal_mass_matrix_adaptation.py
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id: 5468
unit: def _get_sample()
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id: 5469
unit: def _trace_everything()
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id: 5470
unit: def _get_sample()
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unit: def _finite_differences()
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unit: def _trapz()
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unit: def hmc_like_step_size_getter_fn()
file: tensorflow_probability/python/experimental/mcmc/gradient_based_trajectory_length_adaptation.py
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unit: def hmc_like_log_accept_prob_getter_fn()
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id: 5475
unit: def gradient_based_trajectory_length_adaptation_kwargs()
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unit: def _center_part()
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unit: def _ema_part()
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unit: def finalize()
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unit: def _trace_all_results()
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unit: def set_target_accept_prob()
file: tensorflow_probability/python/experimental/mcmc/kernel_builder.py
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unit: def compute_hamiltonian()
file: tensorflow_probability/python/experimental/mcmc/preconditioned_nuts.py
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id: 5482
unit: def _trace_current_state()
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unit: def _trace_everything()
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unit: def _forward()
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id: 5485
unit: def _inverse()
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id: 5486
unit: def logeinsumexp()
file: tensorflow_probability/python/experimental/marginalize/logeinsumexp.py
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id: 5487
unit: def kl_reverse()
file: tensorflow_probability/python/vi/csiszar_divergence.py
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id: 5488
unit: def kl_forward()
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id: 5489
unit: def dual_csiszar_function()
file: tensorflow_probability/python/vi/csiszar_divergence.py
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id: 5490
unit: def _parameter_properties()
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id: 5491
unit: def parameter_properties()
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unit: def _apply()
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id: 5493
unit: def _batch_shape()
file: tensorflow_probability/python/math/psd_kernels/positive_semidefinite_kernel.py
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unit: def _batch_shape_tensor()
file: tensorflow_probability/python/math/psd_kernels/positive_semidefinite_kernel.py
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unit: def _matrix()
file: tensorflow_probability/python/math/psd_kernels/positive_semidefinite_kernel.py
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unit: def _batch_shape()
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unit: def _batch_shape_tensor()
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id: 5498
unit: def _matrix()
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id: 5499
unit: def _add_diagonal_shift()
file: tensorflow_probability/python/math/psd_kernels/schur_complement.py
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id: 5500
unit: def _bessel_iv_ratio_fwd()
file: tensorflow_probability/python/math/bessel.py
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id: 5501
unit: def _bessel_ive_fwd()
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id: 5502
unit: def _bessel_kve_fwd()
file: tensorflow_probability/python/math/bessel.py
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id: 5503
unit: def _log_bessel_ive_fwd()
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id: 5504
unit: def _log_bessel_kve_fwd()
file: tensorflow_probability/python/math/bessel.py
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id: 5505
unit: def _dawsn_fwd()
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id: 5506
unit: def dawsn()
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id: 5507
unit: def _erfcx_fwd()
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id: 5508
unit: def _igammainv_fwd()
file: tensorflow_probability/python/math/special.py
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id: 5509
unit: def _igammacinv_fwd()
file: tensorflow_probability/python/math/special.py
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id: 5510
unit: def _lambert_fwd()
file: tensorflow_probability/python/math/special.py
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id: 5511
unit: def error_if_not_vector()
file: tensorflow_probability/python/math/ode/util.py
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number of parameters: 2

id: 5512
unit: def step_cond()
file: tensorflow_probability/python/math/ode/bdf.py
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McCabe index: 1
number of parameters: 4

id: 5513
unit: def _trace_has_converged()
file: tensorflow_probability/python/math/minimize.py
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id: 5514
unit: def _hyp2f1_z_near_negative_one()
file: tensorflow_probability/python/math/hypergeometric.py
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number of parameters: 4

id: 5515
unit: def _structure_broadcasting_where()
file: tensorflow_probability/python/math/root_search.py
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id: 5516
unit: def __add__()
file: tensorflow_probability/python/math/generic.py
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id: 5517
unit: def __radd__()
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id: 5518
unit: def __sub__()
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unit: def __rsub__()
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id: 5520
unit: def __eq__()
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McCabe index: 2
number of parameters: 2

id: 5521
unit: def shape_may_be_nontrivial()
file: tensorflow_probability/python/internal/distribution_util.py
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id: 5522
unit: def __init__()
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id: 5523
unit: def BIJECTOR_NOT_IMPLEMENTED()
file: tensorflow_probability/python/internal/parameter_properties.py
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McCabe index: 1
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id: 5524
unit: def _default_constraining_bijector_fn()
file: tensorflow_probability/python/internal/parameter_properties.py
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id: 5525
unit: def deprecated_args()
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id: 5526
unit: def deprecated_arg_values()
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McCabe index: 1
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id: 5527
unit: def _assert_all_finite()
file: tensorflow_probability/python/internal/backend/numpy/debugging.py
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id: 5528
unit: def _assert_positive()
file: tensorflow_probability/python/internal/backend/numpy/debugging.py
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id: 5529
unit: def _assert_negative()
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McCabe index: 1
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id: 5530
unit: def _assert_non_positive()
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McCabe index: 1
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id: 5531
unit: def _einsum()
file: tensorflow_probability/python/internal/backend/numpy/linalg_impl.py
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McCabe index: 1
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id: 5532
unit: def _tensordot()
file: tensorflow_probability/python/internal/backend/numpy/linalg_impl.py
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unit: def _trace()
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id: 5534
unit: def with_dependencies()
file: tensorflow_probability/python/internal/backend/numpy/control_flow.py
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id: 5535
unit: def _gather_nd_single()
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id: 5536
unit: def _ones_like()
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id: 5537
unit: def _shape()
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id: 5538
unit: def _size()
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id: 5539
unit: def _transpose()
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McCabe index: 2
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id: 5540
unit: def __init__()
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id: 5541
unit: def __init__()
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unit: def __init__()
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unit: def gradient()
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id: 5545
unit: def __init__()
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id: 5546
unit: def assign()
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id: 5547
unit: def run_functions_eagerly()
file: tensorflow_probability/python/internal/backend/numpy/config.py
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McCabe index: 2
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id: 5548
unit: def _assert_non_singular()
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id: 5549
unit: def _log_abs_determinant()
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McCabe index: 1
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id: 5550
unit: def _solve_linear_operator_identity_left()
file: tensorflow_probability/python/internal/backend/numpy/gen/solve_registrations.py
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McCabe index: 1
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id: 5551
unit: def _solve_linear_operator_identity_right()
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McCabe index: 1
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id: 5552
unit: def _shape()
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McCabe index: 1
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id: 5553
unit: def batch_shape_tensor()
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McCabe index: 1
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id: 5554
unit: def tensor_rank()
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McCabe index: 1
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id: 5555
unit: def tensor_rank_tensor()
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id: 5556
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file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator.py
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McCabe index: 1
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id: 5557
unit: def range_dimension_tensor()
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McCabe index: 1
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id: 5558
unit: def assert_non_singular()
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id: 5559
unit: def assert_positive_definite()
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McCabe index: 1
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id: 5560
unit: def assert_self_adjoint()
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McCabe index: 1
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id: 5561
unit: def to_dense()
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id: 5562
unit: def diag_part()
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id: 5564
unit: def cond()
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id: 5565
unit: def _from_components()
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id: 5566
unit: def can_add()
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id: 5567
unit: def can_add()
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id: 5568
unit: def can_add()
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McCabe index: 1
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id: 5569
unit: def _matmul()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator_full_matrix.py
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McCabe index: 1
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id: 5570
unit: def _fft()
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McCabe index: 1
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id: 5571
unit: def _ifft()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator_circulant.py
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McCabe index: 1
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id: 5572
unit: def _assert_non_singular()
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McCabe index: 2
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unit: def _assert_non_singular()
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McCabe index: 2
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id: 5574
unit: def _assert_self_adjoint()
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McCabe index: 2
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id: 5690
unit: def spline_slope_constraint()
file: tensorflow_probability/python/bijectors/hypothesis_testlib.py
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end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 5691
unit: def _forward()
file: tensorflow_probability/python/bijectors/moyal_cdf.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 5692
unit: def _inverse()
file: tensorflow_probability/python/bijectors/absolute_value.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 5693
unit: def _forward()
file: tensorflow_probability/python/bijectors/reciprocal.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 5694
unit: def _forward_log_det_jacobian()
file: tensorflow_probability/python/bijectors/reciprocal.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 5695
unit: def _inverse()
file: tensorflow_probability/python/bijectors/gompertz_cdf.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 5696
unit: def _output_multiplier()
file: tensorflow_probability/python/bijectors/sinh_arcsinh.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 5697
unit: def _inverse()
file: tensorflow_probability/python/bijectors/glow.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 5698
unit: def _forward()
file: tensorflow_probability/python/bijectors/glow.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 5699
unit: def _inverse_log_det_jacobian()
file: tensorflow_probability/python/bijectors/glow.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 5700
unit: def _forward_log_det_jacobian()
file: tensorflow_probability/python/bijectors/glow.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 5701
unit: def unpack_structs_like()
file: tensorflow_probability/python/bijectors/composition.py
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size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 5702
unit: def _parts_interact()
file: tensorflow_probability/python/bijectors/composition.py
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size: 3 LOC
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number of parameters: 1

id: 5703
unit: def _is_scalar()
file: tensorflow_probability/python/bijectors/bijector.py
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size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 5704
unit: def _parts_interact()
file: tensorflow_probability/python/bijectors/bijector.py
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size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 5705
unit: def __hash__()
file: tensorflow_probability/python/bijectors/bijector.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 5706
unit: def _parameter_properties()
file: tensorflow_probability/python/bijectors/bijector.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 5707
unit: def parameter_properties()
file: tensorflow_probability/python/bijectors/bijector.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 5708
unit: def _call_is_increasing()
file: tensorflow_probability/python/bijectors/bijector.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 5709
unit: def _composite_tensor_params()
file: tensorflow_probability/python/bijectors/bijector.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 5710
unit: def wrapper()
file: spinoffs/fun_mc/fun_mc/fun_mc_lib.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5711
unit: def call_potential_fn_with_grads()
file: spinoffs/fun_mc/fun_mc/fun_mc_lib.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 5712
unit: def wrapper()
file: spinoffs/fun_mc/fun_mc/fun_mc_lib.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5713
unit: def integrator_trace_wrapper_fn()
file: spinoffs/fun_mc/fun_mc/fun_mc_lib.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 5714
unit: def _one_part()
file: spinoffs/fun_mc/fun_mc/fun_mc_lib.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 5715
unit: def _struct_sum()
file: spinoffs/fun_mc/fun_mc/fun_mc_lib.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5716
unit: def _global_norm()
file: spinoffs/fun_mc/fun_mc/fun_mc_lib.py
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size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 5717
unit: def _root_name_comps()
file: spinoffs/fun_mc/fun_mc/backends/rewrite.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 5718
unit: def _root_name()
file: spinoffs/fun_mc/fun_mc/backends/rewrite.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 5719
unit: def state()
file: spinoffs/fun_mc/fun_mc/prefab.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5720
unit: def is_accepted()
file: spinoffs/fun_mc/fun_mc/prefab.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5721
unit: def opt_step_size()
file: spinoffs/fun_mc/fun_mc/prefab.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5722
unit: def rms_step_size()
file: spinoffs/fun_mc/fun_mc/prefab.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5723
unit: def _integrator_fn()
file: spinoffs/fun_mc/fun_mc/prefab.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 5724
unit: def map_tree()
file: spinoffs/fun_mc/fun_mc/dynamic/backend_jax/util.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 5725
unit: def flatten_tree()
file: spinoffs/fun_mc/fun_mc/dynamic/backend_jax/util.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5726
unit: def unflatten_tree()
file: spinoffs/fun_mc/fun_mc/dynamic/backend_jax/util.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 5727
unit: def get_shallow_tree()
file: spinoffs/fun_mc/fun_mc/dynamic/backend_jax/util.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 5728
unit: def assert_same_shallow_tree()
file: spinoffs/fun_mc/fun_mc/dynamic/backend_jax/util.py
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end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 2

id: 5729
unit: def split_seed()
file: spinoffs/fun_mc/fun_mc/dynamic/backend_jax/util.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 5730
unit: def inverse_fn()
file: spinoffs/fun_mc/fun_mc/dynamic/backend_jax/util.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5731
unit: def move_axis()
file: spinoffs/fun_mc/fun_mc/dynamic/backend_jax/util.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 5732
unit: def _cond()
file: spinoffs/fun_mc/fun_mc/dynamic/backend_jax/tf_on_jax.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 5733
unit: def _cast()
file: spinoffs/fun_mc/fun_mc/dynamic/backend_jax/tf_on_jax.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 5734
unit: def _name_scope()
file: spinoffs/fun_mc/fun_mc/dynamic/backend_jax/tf_on_jax.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5735
unit: def _rank()
file: spinoffs/fun_mc/fun_mc/dynamic/backend_jax/tf_on_jax.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5736
unit: def _function()
file: spinoffs/fun_mc/fun_mc/dynamic/backend_jax/tf_on_jax.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5737
unit: def map_tree()
file: spinoffs/fun_mc/fun_mc/dynamic/backend_tensorflow/util.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 5738
unit: def flatten_tree()
file: spinoffs/fun_mc/fun_mc/dynamic/backend_tensorflow/util.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5739
unit: def unflatten_tree()
file: spinoffs/fun_mc/fun_mc/dynamic/backend_tensorflow/util.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 5740
unit: def map_tree_up_to()
file: spinoffs/fun_mc/fun_mc/dynamic/backend_tensorflow/util.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 5741
unit: def get_shallow_tree()
file: spinoffs/fun_mc/fun_mc/dynamic/backend_tensorflow/util.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 5742
unit: def assert_same_shallow_tree()
file: spinoffs/fun_mc/fun_mc/dynamic/backend_tensorflow/util.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 5743
unit: def _is_stateful_seed()
file: spinoffs/fun_mc/fun_mc/dynamic/backend_tensorflow/util.py
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end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 5744
unit: def inverse_fn()
file: spinoffs/fun_mc/fun_mc/dynamic/backend_tensorflow/util.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5745
unit: def block_until_ready()
file: spinoffs/fun_mc/fun_mc/dynamic/backend_tensorflow/util.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5746
unit: def move_axis()
file: spinoffs/fun_mc/fun_mc/dynamic/backend_tensorflow/util.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 5747
unit: def _square()
file: spinoffs/fun_mc/fun_mc/sga_hmc.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5748
unit: def _sub()
file: spinoffs/fun_mc/fun_mc/sga_hmc.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 5749
unit: def mean_trajectory_length()
file: spinoffs/fun_mc/fun_mc/sga_hmc.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5750
unit: def default_trajectory_length_init()
file: spinoffs/fun_mc/fun_mc/sga_hmc.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 5751
unit: def _unnormalized_log_prob()
file: spinoffs/inference_gym/inference_gym/targets/neals_funnel.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 5752
unit: def sample()
file: spinoffs/inference_gym/inference_gym/targets/neals_funnel.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 5753
unit: def num_sensors()
file: spinoffs/inference_gym/inference_gym/targets/plasma_spectroscopy.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5754
unit: def measurements()
file: spinoffs/inference_gym/inference_gym/targets/plasma_spectroscopy.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5755
unit: def wavelengths()
file: spinoffs/inference_gym/inference_gym/targets/plasma_spectroscopy.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5756
unit: def center_wavelength()
file: spinoffs/inference_gym/inference_gym/targets/plasma_spectroscopy.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5757
unit: def num_shells()
file: spinoffs/inference_gym/inference_gym/targets/plasma_spectroscopy.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5758
unit: def outer_shell_radius()
file: spinoffs/inference_gym/inference_gym/targets/plasma_spectroscopy.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5759
unit: def sensor_span()
file: spinoffs/inference_gym/inference_gym/targets/plasma_spectroscopy.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5760
unit: def num_integration_points()
file: spinoffs/inference_gym/inference_gym/targets/plasma_spectroscopy.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5761
unit: def prior_diag_noise_variance()
file: spinoffs/inference_gym/inference_gym/targets/plasma_spectroscopy.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5762
unit: def prior_length_scale()
file: spinoffs/inference_gym/inference_gym/targets/plasma_spectroscopy.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5763
unit: def amplitude_scale()
file: spinoffs/inference_gym/inference_gym/targets/plasma_spectroscopy.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5764
unit: def temperature_scale()
file: spinoffs/inference_gym/inference_gym/targets/plasma_spectroscopy.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5765
unit: def velocity_scale()
file: spinoffs/inference_gym/inference_gym/targets/plasma_spectroscopy.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5766
unit: def absolute_noise_scale()
file: spinoffs/inference_gym/inference_gym/targets/plasma_spectroscopy.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5767
unit: def relative_noise_scale()
file: spinoffs/inference_gym/inference_gym/targets/plasma_spectroscopy.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5768
unit: def use_bump_function()
file: spinoffs/inference_gym/inference_gym/targets/plasma_spectroscopy.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5769
unit: def observation_noise_fn()
file: spinoffs/inference_gym/inference_gym/targets/plasma_spectroscopy.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5770
unit: def _prior_distribution()
file: spinoffs/inference_gym/inference_gym/targets/plasma_spectroscopy.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5771
unit: def log_likelihood()
file: spinoffs/inference_gym/inference_gym/targets/plasma_spectroscopy.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 5772
unit: def _add_bias()
file: spinoffs/inference_gym/inference_gym/targets/logistic_regression.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5773
unit: def _prior_distribution()
file: spinoffs/inference_gym/inference_gym/targets/logistic_regression.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5774
unit: def log_likelihood()
file: spinoffs/inference_gym/inference_gym/targets/logistic_regression.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 5775
unit: def _prior_distribution()
file: spinoffs/inference_gym/inference_gym/targets/brownian_motion.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5776
unit: def log_likelihood()
file: spinoffs/inference_gym/inference_gym/targets/brownian_motion.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 5777
unit: def _prior_distribution()
file: spinoffs/inference_gym/inference_gym/targets/brownian_motion.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5778
unit: def log_likelihood()
file: spinoffs/inference_gym/inference_gym/targets/brownian_motion.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 5779
unit: def _add_bias()
file: spinoffs/inference_gym/inference_gym/targets/probit_regression.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5780
unit: def _prior_distribution()
file: spinoffs/inference_gym/inference_gym/targets/probit_regression.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5781
unit: def log_likelihood()
file: spinoffs/inference_gym/inference_gym/targets/probit_regression.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 5782
unit: def _prior_distribution()
file: spinoffs/inference_gym/inference_gym/targets/radon_contextual_effects.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5783
unit: def _log_likelihood()
file: spinoffs/inference_gym/inference_gym/targets/radon_contextual_effects.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 5784
unit: def observation_noise_fn()
file: spinoffs/inference_gym/inference_gym/targets/log_gaussian_cox_process.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5785
unit: def _log_likelihood()
file: spinoffs/inference_gym/inference_gym/targets/log_gaussian_cox_process.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 5786
unit: def _prior_distribution()
file: spinoffs/inference_gym/inference_gym/targets/log_gaussian_cox_process.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5787
unit: def __call__()
file: spinoffs/inference_gym/inference_gym/targets/model.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 5788
unit: def __str__()
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5789
unit: def _unnormalized_log_prob()
file: spinoffs/inference_gym/inference_gym/targets/model.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 5790
unit: def default_event_space_bijector()
file: spinoffs/inference_gym/inference_gym/targets/model.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5791
unit: def dtype()
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McCabe index: 1
number of parameters: 1

id: 5792
unit: def name()
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McCabe index: 1
number of parameters: 1

id: 5793
unit: def __str__()
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McCabe index: 1
number of parameters: 1

id: 5794
unit: def sample_transformations()
file: spinoffs/inference_gym/inference_gym/targets/model.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5795
unit: def _unnormalized_log_prob()
file: spinoffs/inference_gym/inference_gym/targets/ill_conditioned_gaussian.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 5796
unit: def covariance_eigenvalues()
file: spinoffs/inference_gym/inference_gym/targets/ill_conditioned_gaussian.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5797
unit: def sample()
file: spinoffs/inference_gym/inference_gym/targets/ill_conditioned_gaussian.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 5798
unit: def _unnormalized_log_prob()
file: spinoffs/inference_gym/inference_gym/targets/banana.py
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unit: def _complex_real()
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unit: def _prior_distribution()
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unit: def _prior_distribution()
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unit: def log_likelihood()
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unit: def _prior_distribution()
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unit: def log_likelihood()
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unit: def vector_event_to_structured()
file: spinoffs/inference_gym/inference_gym/targets/vector_model.py
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unit: def _prior_distribution()
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unit: def _log_likelihood()
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unit: def _root_name_comps()
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unit: def _root_name()
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unit: def _add_bias()
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unit: def _ext_identity()
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unit: def eight_schools()
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unit: def _sample_distribution()
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unit: def pattern_matcher()
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unit: def __str__()
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unit: def ok()
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unit: def tree_children()
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unit: def dict_tree_children()
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unit: def tree_map()
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unit: def tree_children()
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unit: def evaluate_tuple()
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unit: def shape()
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unit: def dtype()
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unit: def evaluate_jax_expression()
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file: spinoffs/oryx/oryx/experimental/nn/core.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 5910
unit: def _activate()
file: spinoffs/oryx/oryx/experimental/nn/core.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 5911
unit: def _activate()
file: spinoffs/oryx/oryx/experimental/nn/core.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 5912
unit: def variables()
file: spinoffs/oryx/oryx/experimental/nn/base.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5913
unit: def params()
file: spinoffs/oryx/oryx/experimental/nn/base.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5914
unit: def state()
file: spinoffs/oryx/oryx/experimental/nn/base.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5915
unit: def info()
file: spinoffs/oryx/oryx/experimental/nn/base.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5916
unit: def __new__()
file: spinoffs/oryx/oryx/experimental/nn/base.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 5917
unit: def call()
file: spinoffs/oryx/oryx/experimental/nn/base.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 5918
unit: def update()
file: spinoffs/oryx/oryx/experimental/nn/base.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 5919
unit: def __str__()
file: spinoffs/oryx/oryx/experimental/nn/base.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5920
unit: def __call__()
file: spinoffs/oryx/oryx/experimental/nn/base.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 5921
unit: def call()
file: spinoffs/oryx/oryx/experimental/nn/base.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 5922
unit: def spec()
file: spinoffs/oryx/oryx/experimental/nn/base.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 5923
unit: def _spec()
file: spinoffs/oryx/oryx/experimental/nn/base.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 5924
unit: def __rshift__()
file: spinoffs/oryx/oryx/experimental/nn/base.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 5925
unit: def layer_call_and_update()
file: spinoffs/oryx/oryx/experimental/nn/base.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 5926
unit: def template_call_and_update()
file: spinoffs/oryx/oryx/experimental/nn/base.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 5927
unit: def create_parameter()
file: spinoffs/oryx/oryx/experimental/nn/base.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 5928
unit: def _call_and_update_batched()
file: spinoffs/oryx/oryx/experimental/nn/pooling.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 5929
unit: def _call_batched()
file: spinoffs/oryx/oryx/experimental/nn/pooling.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 5930
unit: def initialize()
file: spinoffs/oryx/oryx/experimental/nn/reshape.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 5931
unit: def initialize()
file: spinoffs/oryx/oryx/experimental/nn/reshape.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 5932
unit: def _update()
file: spinoffs/oryx/oryx/experimental/nn/normalization.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 5933
unit: def state()
file: spinoffs/oryx/oryx/experimental/nn/combinator.py
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end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 5934
unit: def _call()
file: spinoffs/oryx/oryx/experimental/nn/combinator.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 5935
unit: def _update()
file: spinoffs/oryx/oryx/experimental/nn/combinator.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 5936
unit: def __str__()
file: spinoffs/oryx/oryx/experimental/nn/combinator.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5937
unit: def sgd()
file: spinoffs/oryx/oryx/experimental/optimizers/optix.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 5938
unit: def adam()
file: spinoffs/oryx/oryx/experimental/optimizers/optix.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 5939
unit: def apply_updates()
file: spinoffs/oryx/oryx/experimental/optimizers/optix.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 5940
unit: def einsum_letters()
file: spinoffs/oryx/oryx/experimental/autoconj/einsum.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 5941
unit: def shape()
file: spinoffs/oryx/oryx/experimental/autoconj/einsum.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5942
unit: def dtype()
file: spinoffs/oryx/oryx/experimental/autoconj/einsum.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5943
unit: def tree_map()
file: spinoffs/oryx/oryx/experimental/autoconj/einsum.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 5944
unit: def tree_children()
file: spinoffs/oryx/oryx/experimental/autoconj/einsum.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5945
unit: def __str__()
file: spinoffs/oryx/oryx/experimental/autoconj/einsum.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5946
unit: def _add()
file: spinoffs/oryx/oryx/experimental/autoconj/canonicalize.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 5947
unit: def add_to_addn()
file: spinoffs/oryx/oryx/experimental/autoconj/canonicalize.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 5948
unit: def addn_of_addn_to_addn()
file: spinoffs/oryx/oryx/experimental/autoconj/canonicalize.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 5949
unit: def shape()
file: spinoffs/oryx/oryx/experimental/autoconj/addn.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5950
unit: def dtype()
file: spinoffs/oryx/oryx/experimental/autoconj/addn.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5951
unit: def tree_map()
file: spinoffs/oryx/oryx/experimental/autoconj/addn.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 5952
unit: def tree_children()
file: spinoffs/oryx/oryx/experimental/autoconj/addn.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5953
unit: def __str__()
file: spinoffs/oryx/oryx/experimental/autoconj/addn.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5954
unit: def to_tuple()
file: spinoffs/oryx/oryx/core/serialize.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5955
unit: def serialize()
file: spinoffs/oryx/oryx/core/serialize.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5956
unit: def log_prob()
file: spinoffs/oryx/oryx/core/ppl/transformations.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5957
unit: def function_log_prob()
file: spinoffs/oryx/oryx/core/ppl/transformations.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5958
unit: def trace()
file: spinoffs/oryx/oryx/core/ppl/transformations.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5959
unit: def trace_log_prob()
file: spinoffs/oryx/oryx/core/ppl/transformations.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5960
unit: def joint_sample()
file: spinoffs/oryx/oryx/core/ppl/transformations.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5961
unit: def joint_log_prob()
file: spinoffs/oryx/oryx/core/ppl/transformations.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5962
unit: def __init__()
file: spinoffs/oryx/oryx/core/ppl/effect_handler.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5963
unit: def make_effect_handler()
file: spinoffs/oryx/oryx/core/ppl/effect_handler.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 5964
unit: def subcall()
file: spinoffs/oryx/oryx/core/primitive.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 5965
unit: def subcall()
file: spinoffs/oryx/oryx/core/primitive.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 5966
unit: def _tie_all_batch_rule()
file: spinoffs/oryx/oryx/core/primitive.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 5967
unit: def tie_in()
file: spinoffs/oryx/oryx/core/primitive.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 5968
unit: def init()
file: spinoffs/oryx/oryx/core/state/api.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 5969
unit: def __eq__()
file: spinoffs/oryx/oryx/core/state/api.py
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end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 2

id: 5970
unit: def call()
file: spinoffs/oryx/oryx/core/state/api.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 5971
unit: def update()
file: spinoffs/oryx/oryx/core/state/api.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 5972
unit: def make_array_spec()
file: spinoffs/oryx/oryx/core/state/api.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5973
unit: def spec()
file: spinoffs/oryx/oryx/core/state/api.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5974
unit: def __init__()
file: spinoffs/oryx/oryx/core/state/function.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 5975
unit: def __eq__()
file: spinoffs/oryx/oryx/core/state/function.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 5976
unit: def call()
file: spinoffs/oryx/oryx/core/state/function.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 5977
unit: def update()
file: spinoffs/oryx/oryx/core/state/function.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 5978
unit: def variables()
file: spinoffs/oryx/oryx/core/state/function.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5979
unit: def variable()
file: spinoffs/oryx/oryx/core/state/module.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 5

id: 5980
unit: def assign()
file: spinoffs/oryx/oryx/core/state/module.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 5

id: 5981
unit: def call()
file: spinoffs/oryx/oryx/core/state/module.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 5982
unit: def update()
file: spinoffs/oryx/oryx/core/state/module.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 5983
unit: def call_and_update()
file: spinoffs/oryx/oryx/core/state/module.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 5984
unit: def flatten()
file: spinoffs/oryx/oryx/core/state/module.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5985
unit: def unflatten()
file: spinoffs/oryx/oryx/core/state/module.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 5986
unit: def variables()
file: spinoffs/oryx/oryx/core/state/module.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5987
unit: def module_log_prob()
file: spinoffs/oryx/oryx/core/state/module.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 5988
unit: def flatten()
file: spinoffs/oryx/oryx/core/pytree.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5989
unit: def unflatten()
file: spinoffs/oryx/oryx/core/pytree.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 5990
unit: def tree_flatten()
file: spinoffs/oryx/oryx/core/interpreters/log_prob.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5991
unit: def __init__()
file: spinoffs/oryx/oryx/core/interpreters/propagate.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 5992
unit: def __lt__()
file: spinoffs/oryx/oryx/core/interpreters/propagate.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 5993
unit: def top()
file: spinoffs/oryx/oryx/core/interpreters/propagate.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5994
unit: def bottom()
file: spinoffs/oryx/oryx/core/interpreters/propagate.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5995
unit: def join()
file: spinoffs/oryx/oryx/core/interpreters/propagate.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 5996
unit: def shape()
file: spinoffs/oryx/oryx/core/interpreters/propagate.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5997
unit: def ndim()
file: spinoffs/oryx/oryx/core/interpreters/propagate.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5998
unit: def is_unknown()
file: spinoffs/oryx/oryx/core/interpreters/propagate.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 5999
unit: def new()
file: spinoffs/oryx/oryx/core/interpreters/propagate.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6000
unit: def unknown()
file: spinoffs/oryx/oryx/core/interpreters/propagate.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6001
unit: def params()
file: spinoffs/oryx/oryx/core/interpreters/propagate.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6002
unit: def __getitem__()
file: spinoffs/oryx/oryx/core/interpreters/propagate.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6003
unit: def read_state()
file: spinoffs/oryx/oryx/core/interpreters/propagate.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6004
unit: def write_state()
file: spinoffs/oryx/oryx/core/interpreters/propagate.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 6005
unit: def mapped_aval()
file: spinoffs/oryx/oryx/core/interpreters/unzip.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6006
unit: def __init__()
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6007
unit: def __setitem__()
file: spinoffs/oryx/oryx/core/interpreters/unzip.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 6008
unit: def __contains__()
file: spinoffs/oryx/oryx/core/interpreters/unzip.py
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end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 2

id: 6009
unit: def update()
file: spinoffs/oryx/oryx/core/interpreters/unzip.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6010
unit: def copy()
file: spinoffs/oryx/oryx/core/interpreters/unzip.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6011
unit: def pure()
file: spinoffs/oryx/oryx/core/interpreters/unzip.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6012
unit: def lift()
file: spinoffs/oryx/oryx/core/interpreters/unzip.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6013
unit: def sublift()
file: spinoffs/oryx/oryx/core/interpreters/unzip.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6014
unit: def new_arg()
file: spinoffs/oryx/oryx/core/interpreters/unzip.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 6015
unit: def process_call()
file: spinoffs/oryx/oryx/core/interpreters/unzip.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 5

id: 6016
unit: def process_map()
file: spinoffs/oryx/oryx/core/interpreters/unzip.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 5

id: 6017
unit: def post_process_call()
file: spinoffs/oryx/oryx/core/interpreters/unzip.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 6018
unit: def is_key()
file: spinoffs/oryx/oryx/core/interpreters/unzip.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6019
unit: def __repr__()
file: spinoffs/oryx/oryx/core/interpreters/unzip.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6020
unit: def _sow_impl()
file: spinoffs/oryx/oryx/core/interpreters/harvest.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6021
unit: def _sow_abstract_eval()
file: spinoffs/oryx/oryx/core/interpreters/harvest.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6022
unit: def _sow_transpose()
file: spinoffs/oryx/oryx/core/interpreters/harvest.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 6023
unit: def _nest_transpose_rule()
file: spinoffs/oryx/oryx/core/interpreters/harvest.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6024
unit: def pure()
file: spinoffs/oryx/oryx/core/interpreters/harvest.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6025
unit: def sublift()
file: spinoffs/oryx/oryx/core/interpreters/harvest.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6026
unit: def lift()
file: spinoffs/oryx/oryx/core/interpreters/harvest.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6027
unit: def aval()
file: spinoffs/oryx/oryx/core/interpreters/harvest.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6028
unit: def full_lower()
file: spinoffs/oryx/oryx/core/interpreters/harvest.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6029
unit: def get_custom_rule()
file: spinoffs/oryx/oryx/core/interpreters/harvest.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6030
unit: def handle_sow()
file: spinoffs/oryx/oryx/core/interpreters/harvest.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 6

id: 6031
unit: def process_nest()
file: spinoffs/oryx/oryx/core/interpreters/harvest.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 6

id: 6032
unit: def get_custom_rule()
file: spinoffs/oryx/oryx/core/interpreters/harvest.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6033
unit: def __post_init__()
file: spinoffs/oryx/oryx/core/interpreters/harvest.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6034
unit: def get_custom_rule()
file: spinoffs/oryx/oryx/core/interpreters/harvest.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6035
unit: def bottom()
file: spinoffs/oryx/oryx/core/interpreters/inverse/core.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6036
unit: def unknown()
file: spinoffs/oryx/oryx/core/interpreters/inverse/core.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6037
unit: def unflatten()
file: spinoffs/oryx/oryx/core/interpreters/inverse/core.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 6038
unit: def __init__()
file: spinoffs/oryx/oryx/core/interpreters/inverse/core.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6039
unit: def __setitem__()
file: spinoffs/oryx/oryx/core/interpreters/inverse/core.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 6040
unit: def __contains__()
file: spinoffs/oryx/oryx/core/interpreters/inverse/core.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6041
unit: def hop_inverse_rule()
file: spinoffs/oryx/oryx/core/interpreters/inverse/core.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6042
unit: def initial_inverse_rule()
file: spinoffs/oryx/oryx/core/interpreters/inverse/core.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6043
unit: def pow_left()
file: spinoffs/oryx/oryx/core/interpreters/inverse/rules.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 6044
unit: def add_left()
file: spinoffs/oryx/oryx/core/interpreters/inverse/rules.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 6045
unit: def add_right()
file: spinoffs/oryx/oryx/core/interpreters/inverse/rules.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 6046
unit: def sub_left()
file: spinoffs/oryx/oryx/core/interpreters/inverse/rules.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 6047
unit: def sub_right()
file: spinoffs/oryx/oryx/core/interpreters/inverse/rules.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 6048
unit: def mul_left()
file: spinoffs/oryx/oryx/core/interpreters/inverse/rules.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 6049
unit: def mul_right()
file: spinoffs/oryx/oryx/core/interpreters/inverse/rules.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 6050
unit: def div_left()
file: spinoffs/oryx/oryx/core/interpreters/inverse/rules.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 6051
unit: def div_right()
file: spinoffs/oryx/oryx/core/interpreters/inverse/rules.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 6052
unit: def logit_ildj()
file: spinoffs/oryx/oryx/core/interpreters/inverse/rules.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6053
unit: def __eq__()
file: spinoffs/oryx/oryx/core/interpreters/inverse/slice.py
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end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 2

id: 6054
unit: def __repr__()
file: spinoffs/oryx/oryx/core/interpreters/inverse/slice.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6055
unit: def ndim()
file: spinoffs/oryx/oryx/core/interpreters/inverse/slice.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6056
unit: def __eq__()
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end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 2

id: 6057
unit: def __hash__()
file: spinoffs/oryx/oryx/core/interpreters/inverse/slice.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6058
unit: def flatten()
file: spinoffs/oryx/oryx/core/interpreters/inverse/slice.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6059
unit: def unflatten()
file: spinoffs/oryx/oryx/core/interpreters/inverse/slice.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 6060
unit: def custom_inverse()
file: spinoffs/oryx/oryx/core/interpreters/inverse/custom_inverse.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6061
unit: def custom_inverse_argspec_and_keywords()
file: spinoffs/oryx/oryx/core/interpreters/inverse/custom_inverse.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6062
unit: def custom_vjp_jvp_argspec_and_keywords()
file: spinoffs/oryx/oryx/core/kwargs_util.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6063
unit: def summary()
file: spinoffs/oryx/oryx/util/summary.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 6064
unit: def get_summaries()
file: spinoffs/oryx/oryx/util/summary.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6065
unit: def __init__()
file: spinoffs/oryx/oryx/bijectors/bijector_extensions.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6066
unit: def elbo()
file: discussion/pathfinder/pathfinder.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6067
unit: def trainable_bijector()
file: discussion/neutra/neutra_kernel.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6068
unit: def unconstraining_bijector()
file: discussion/neutra/neutra_kernel.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6069
unit: def state_shape()
file: discussion/neutra/neutra_kernel.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6070
unit: def train_batch_size()
file: discussion/neutra/neutra_kernel.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6071
unit: def num_train_steps()
file: discussion/neutra/neutra_kernel.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6072
unit: def learning_rate()
file: discussion/neutra/neutra_kernel.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6073
unit: def train_debug_fn()
file: discussion/neutra/neutra_kernel.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6074
unit: def seed()
file: discussion/neutra/neutra_kernel.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6075
unit: def is_calibrated()
file: discussion/neutra/neutra_kernel.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6076
unit: def _flattened_target_log_prob()
file: discussion/neutra/neutra_kernel.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6077
unit: def has_ext_modules()
file: setup.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6078
unit: def _is_list_like()
file: tensorflow_probability/python/stats/sample_stats.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6079
unit: def loc()
file: tensorflow_probability/python/distributions/logistic.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6080
unit: def scale()
file: tensorflow_probability/python/distributions/logistic.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6081
unit: def _event_shape_tensor()
file: tensorflow_probability/python/distributions/logistic.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6082
unit: def _event_shape()
file: tensorflow_probability/python/distributions/logistic.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6083
unit: def _log_cdf()
file: tensorflow_probability/python/distributions/logistic.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6084
unit: def _cdf()
file: tensorflow_probability/python/distributions/logistic.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6085
unit: def _log_survival_function()
file: tensorflow_probability/python/distributions/logistic.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6086
unit: def _survival_function()
file: tensorflow_probability/python/distributions/logistic.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6087
unit: def _mode()
file: tensorflow_probability/python/distributions/logistic.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6088
unit: def _quantile()
file: tensorflow_probability/python/distributions/logistic.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6089
unit: def _default_event_space_bijector()
file: tensorflow_probability/python/distributions/logistic.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6090
unit: def _event_shape()
file: tensorflow_probability/python/distributions/hidden_markov_model.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6091
unit: def initial_distribution()
file: tensorflow_probability/python/distributions/hidden_markov_model.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6092
unit: def transition_distribution()
file: tensorflow_probability/python/distributions/hidden_markov_model.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6093
unit: def observation_distribution()
file: tensorflow_probability/python/distributions/hidden_markov_model.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6094
unit: def mask()
file: tensorflow_probability/python/distributions/hidden_markov_model.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6095
unit: def num_steps()
file: tensorflow_probability/python/distributions/hidden_markov_model.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6096
unit: def num_states_static()
file: tensorflow_probability/python/distributions/hidden_markov_model.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6097
unit: def num_states_tensor()
file: tensorflow_probability/python/distributions/hidden_markov_model.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6098
unit: def _log_vector_matrix()
file: tensorflow_probability/python/distributions/hidden_markov_model.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6099
unit: def _log_matrix_vector()
file: tensorflow_probability/python/distributions/hidden_markov_model.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6100
unit: def _vector_matrix()
file: tensorflow_probability/python/distributions/hidden_markov_model.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6101
unit: def allow_nan_stats()
file: tensorflow_probability/python/distributions/lambertw_f.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6102
unit: def shift()
file: tensorflow_probability/python/distributions/lambertw_f.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6103
unit: def scale()
file: tensorflow_probability/python/distributions/lambertw_f.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6104
unit: def tailweight()
file: tensorflow_probability/python/distributions/lambertw_f.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6105
unit: def loc()
file: tensorflow_probability/python/distributions/lambertw_f.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6106
unit: def _default_event_space_bijector()
file: tensorflow_probability/python/distributions/lambertw_f.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6107
unit: def _mode()
file: tensorflow_probability/python/distributions/matrix_t_linear_operator.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6108
unit: def _log_prob()
file: tensorflow_probability/python/distributions/matrix_t_linear_operator.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6109
unit: def _entropy()
file: tensorflow_probability/python/distributions/matrix_t_linear_operator.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6110
unit: def df()
file: tensorflow_probability/python/distributions/matrix_t_linear_operator.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6111
unit: def loc()
file: tensorflow_probability/python/distributions/matrix_t_linear_operator.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6112
unit: def scale_row()
file: tensorflow_probability/python/distributions/matrix_t_linear_operator.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6113
unit: def scale_column()
file: tensorflow_probability/python/distributions/matrix_t_linear_operator.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6114
unit: def _event_shape_tensor()
file: tensorflow_probability/python/distributions/matrix_t_linear_operator.py
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end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 2

id: 6115
unit: def _event_shape()
file: tensorflow_probability/python/distributions/matrix_t_linear_operator.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6116
unit: def _default_event_space_bijector()
file: tensorflow_probability/python/distributions/matrix_t_linear_operator.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6117
unit: def _remove_dict_keys_with_value()
file: tensorflow_probability/python/distributions/distribution.py
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end line: 0
size: 2 LOC
McCabe index: 3
number of parameters: 2

id: 6118
unit: def name()
file: tensorflow_probability/python/distributions/distribution.py
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end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 6119
unit: def dtype()
file: tensorflow_probability/python/distributions/distribution.py
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end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 6120
unit: def __getitem__()
file: tensorflow_probability/python/distributions/distribution.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6121
unit: def __iter__()
file: tensorflow_probability/python/distributions/distribution.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6122
unit: def reparameterization_type()
file: tensorflow_probability/python/distributions/distribution.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6123
unit: def allow_nan_stats()
file: tensorflow_probability/python/distributions/distribution.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6124
unit: def validate_args()
file: tensorflow_probability/python/distributions/distribution.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6125
unit: def experimental_shard_axis_names()
file: tensorflow_probability/python/distributions/distribution.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6126
unit: def _event_shape()
file: tensorflow_probability/python/distributions/distribution.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6127
unit: def log_prob()
file: tensorflow_probability/python/distributions/distribution.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 6128
unit: def prob()
file: tensorflow_probability/python/distributions/distribution.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 6129
unit: def log_cdf()
file: tensorflow_probability/python/distributions/distribution.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 6130
unit: def cdf()
file: tensorflow_probability/python/distributions/distribution.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 6131
unit: def survival_function()
file: tensorflow_probability/python/distributions/distribution.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 6132
unit: def quantile()
file: tensorflow_probability/python/distributions/distribution.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 6133
unit: def kl_divergence()
file: tensorflow_probability/python/distributions/distribution.py
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end line: 0
size: 2 LOC
McCabe index: 4
number of parameters: 3

id: 6134
unit: def experimental_default_event_space_bijector()
file: tensorflow_probability/python/distributions/distribution.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 6135
unit: def _parameter_control_dependencies()
file: tensorflow_probability/python/distributions/distribution.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6136
unit: def _sample_control_dependencies()
file: tensorflow_probability/python/distributions/distribution.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 6137
unit: def _batch_shape()
file: tensorflow_probability/python/distributions/pixel_cnn.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6138
unit: def _event_shape()
file: tensorflow_probability/python/distributions/pixel_cnn.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6139
unit: def call()
file: tensorflow_probability/python/distributions/pixel_cnn.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 6140
unit: def _batch_shape()
file: tensorflow_probability/python/distributions/blockwise.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6141
unit: def _batch_shape_tensor()
file: tensorflow_probability/python/distributions/blockwise.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6142
unit: def _event_shape()
file: tensorflow_probability/python/distributions/blockwise.py
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unit: def log_rate()
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unit: def scale()
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unit: def _event_shape()
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unit: def logits()
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unit: def _log_survival_function()
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id: 6224
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id: 6225
unit: def tailweight()
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unit: def _stddev()
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file: tensorflow_probability/python/distributions/mvn_low_rank_update_linear_operator_covariance.py
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id: 6255
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unit: def _default_event_space_bijector()
file: tensorflow_probability/python/distributions/dpp.py
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id: 6262
unit: def _event_shape_tensor()
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unit: def _event_shape()
file: tensorflow_probability/python/distributions/dpp.py
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unit: def eigenvalues()
file: tensorflow_probability/python/distributions/dpp.py
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unit: def eigenvectors()
file: tensorflow_probability/python/distributions/dpp.py
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unit: def l_ensemble_matrix()
file: tensorflow_probability/python/distributions/dpp.py
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id: 6267
unit: def _cauchy_cdf_diff()
file: tensorflow_probability/python/distributions/truncated_cauchy.py
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id: 6268
unit: def loc()
file: tensorflow_probability/python/distributions/truncated_cauchy.py
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id: 6269
unit: def scale()
file: tensorflow_probability/python/distributions/truncated_cauchy.py
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id: 6270
unit: def low()
file: tensorflow_probability/python/distributions/truncated_cauchy.py
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id: 6271
unit: def high()
file: tensorflow_probability/python/distributions/truncated_cauchy.py
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id: 6272
unit: def _event_shape()
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id: 6273
unit: def event_size()
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id: 6274
unit: def temperature()
file: tensorflow_probability/python/distributions/relaxed_onehot_categorical.py
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id: 6275
unit: def logits()
file: tensorflow_probability/python/distributions/relaxed_onehot_categorical.py
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unit: def probs()
file: tensorflow_probability/python/distributions/relaxed_onehot_categorical.py
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unit: def temperature()
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unit: def event_size()
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unit: def probs()
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unit: def logits()
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unit: def logits_parameter()
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unit: def probs_parameter()
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id: 6283
unit: def cutpoints()
file: tensorflow_probability/python/distributions/ordered_logistic.py
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id: 6284
unit: def loc()
file: tensorflow_probability/python/distributions/ordered_logistic.py
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id: 6285
unit: def categorical_probs()
file: tensorflow_probability/python/distributions/ordered_logistic.py
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number of parameters: 1

id: 6286
unit: def _num_categories()
file: tensorflow_probability/python/distributions/ordered_logistic.py
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id: 6287
unit: def _event_shape_tensor()
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id: 6288
unit: def _event_shape()
file: tensorflow_probability/python/distributions/ordered_logistic.py
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id: 6289
unit: def _cdf()
file: tensorflow_probability/python/distributions/ordered_logistic.py
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id: 6290
unit: def _default_event_space_bijector()
file: tensorflow_probability/python/distributions/ordered_logistic.py
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id: 6291
unit: def loc()
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id: 6292
unit: def scale()
file: tensorflow_probability/python/distributions/loglogistic.py
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McCabe index: 1
number of parameters: 1

id: 6293
unit: def _entropy()
file: tensorflow_probability/python/distributions/loglogistic.py
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number of parameters: 1

id: 6294
unit: def _log_cdf()
file: tensorflow_probability/python/distributions/loglogistic.py
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McCabe index: 1
number of parameters: 2

id: 6295
unit: def _log_survival_function()
file: tensorflow_probability/python/distributions/loglogistic.py
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McCabe index: 1
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id: 6296
unit: def _default_event_space_bijector()
file: tensorflow_probability/python/distributions/loglogistic.py
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id: 6297
unit: def observation_index_points()
file: tensorflow_probability/python/distributions/gaussian_process_regression_model.py
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number of parameters: 1

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unit: def observations()
file: tensorflow_probability/python/distributions/gaussian_process_regression_model.py
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McCabe index: 1
number of parameters: 1

id: 6299
unit: def predictive_noise_variance()
file: tensorflow_probability/python/distributions/gaussian_process_regression_model.py
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McCabe index: 1
number of parameters: 1

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unit: def __init__()
file: tensorflow_probability/python/distributions/log_prob_ratio.py
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McCabe index: 1
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id: 6301
unit: def mean_direction()
file: tensorflow_probability/python/distributions/power_spherical.py
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McCabe index: 1
number of parameters: 1

id: 6302
unit: def concentration()
file: tensorflow_probability/python/distributions/power_spherical.py
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McCabe index: 1
number of parameters: 1

id: 6303
unit: def _event_shape()
file: tensorflow_probability/python/distributions/power_spherical.py
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number of parameters: 1

id: 6304
unit: def model()
file: tensorflow_probability/python/distributions/joint_distribution_sequential.py
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McCabe index: 1
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id: 6305
unit: def loc()
file: tensorflow_probability/python/distributions/vector_exponential_linear_operator.py
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McCabe index: 1
number of parameters: 1

id: 6306
unit: def scale()
file: tensorflow_probability/python/distributions/vector_exponential_linear_operator.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6307
unit: def _log_prob()
file: tensorflow_probability/python/distributions/vector_exponential_linear_operator.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6308
unit: def _prob()
file: tensorflow_probability/python/distributions/vector_exponential_linear_operator.py
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McCabe index: 1
number of parameters: 2

id: 6309
unit: def outcomes()
file: tensorflow_probability/python/distributions/finite_discrete.py
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McCabe index: 1
number of parameters: 1

id: 6310
unit: def logits()
file: tensorflow_probability/python/distributions/finite_discrete.py
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McCabe index: 1
number of parameters: 1

id: 6311
unit: def probs()
file: tensorflow_probability/python/distributions/finite_discrete.py
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McCabe index: 1
number of parameters: 1

id: 6312
unit: def _event_shape_tensor()
file: tensorflow_probability/python/distributions/finite_discrete.py
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id: 6313
unit: def _event_shape()
file: tensorflow_probability/python/distributions/finite_discrete.py
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number of parameters: 1

id: 6314
unit: def _entropy()
file: tensorflow_probability/python/distributions/finite_discrete.py
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McCabe index: 1
number of parameters: 1

id: 6315
unit: def _mode()
file: tensorflow_probability/python/distributions/finite_discrete.py
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McCabe index: 1
number of parameters: 1

id: 6316
unit: def _default_event_space_bijector()
file: tensorflow_probability/python/distributions/finite_discrete.py
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number of parameters: 1

id: 6317
unit: def _parameter_properties()
file: tensorflow_probability/python/distributions/spherical_uniform.py
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McCabe index: 1
number of parameters: 3

id: 6318
unit: def dimension()
file: tensorflow_probability/python/distributions/spherical_uniform.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6319
unit: def _batch_shape_tensor()
file: tensorflow_probability/python/distributions/spherical_uniform.py
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McCabe index: 1
number of parameters: 1

id: 6320
unit: def _batch_shape()
file: tensorflow_probability/python/distributions/spherical_uniform.py
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number of parameters: 1

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unit: def _event_shape_tensor()
file: tensorflow_probability/python/distributions/spherical_uniform.py
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number of parameters: 1

id: 6322
unit: def _event_shape()
file: tensorflow_probability/python/distributions/spherical_uniform.py
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McCabe index: 1
number of parameters: 1

id: 6323
unit: def total_count()
file: tensorflow_probability/python/distributions/dirichlet_multinomial.py
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McCabe index: 1
number of parameters: 1

id: 6324
unit: def concentration()
file: tensorflow_probability/python/distributions/dirichlet_multinomial.py
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McCabe index: 1
number of parameters: 1

id: 6325
unit: def _event_shape()
file: tensorflow_probability/python/distributions/dirichlet_multinomial.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6326
unit: def _prob()
file: tensorflow_probability/python/distributions/dirichlet_multinomial.py
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McCabe index: 1
number of parameters: 2

id: 6327
unit: def _default_event_space_bijector()
file: tensorflow_probability/python/distributions/dirichlet_multinomial.py
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McCabe index: 1
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id: 6328
unit: def concentration()
file: tensorflow_probability/python/distributions/gamma.py
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McCabe index: 1
number of parameters: 1

id: 6329
unit: def rate()
file: tensorflow_probability/python/distributions/gamma.py
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McCabe index: 1
number of parameters: 1

id: 6330
unit: def log_rate()
file: tensorflow_probability/python/distributions/gamma.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6331
unit: def force_probs_to_zero_outside_support()
file: tensorflow_probability/python/distributions/gamma.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6332
unit: def _event_shape_tensor()
file: tensorflow_probability/python/distributions/gamma.py
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McCabe index: 1
number of parameters: 1

id: 6333
unit: def _event_shape()
file: tensorflow_probability/python/distributions/gamma.py
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McCabe index: 1
number of parameters: 1

id: 6334
unit: def _quantile()
file: tensorflow_probability/python/distributions/gamma.py
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McCabe index: 1
number of parameters: 2

id: 6335
unit: def _mean()
file: tensorflow_probability/python/distributions/gamma.py
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McCabe index: 1
number of parameters: 1

id: 6336
unit: def _stddev()
file: tensorflow_probability/python/distributions/gamma.py
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McCabe index: 1
number of parameters: 1

id: 6337
unit: def _default_event_space_bijector()
file: tensorflow_probability/python/distributions/gamma.py
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McCabe index: 1
number of parameters: 1

id: 6338
unit: def df()
file: tensorflow_probability/python/distributions/chi2.py
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McCabe index: 1
number of parameters: 1

id: 6339
unit: def _event_shape_tensor()
file: tensorflow_probability/python/distributions/chi2.py
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McCabe index: 1
number of parameters: 1

id: 6340
unit: def _event_shape()
file: tensorflow_probability/python/distributions/chi2.py
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McCabe index: 1
number of parameters: 1

id: 6341
unit: def _cdf()
file: tensorflow_probability/python/distributions/chi2.py
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McCabe index: 1
number of parameters: 2

id: 6342
unit: def _quantile()
file: tensorflow_probability/python/distributions/chi2.py
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McCabe index: 1
number of parameters: 2

id: 6343
unit: def _mean()
file: tensorflow_probability/python/distributions/chi2.py
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McCabe index: 1
number of parameters: 1

id: 6344
unit: def _variance()
file: tensorflow_probability/python/distributions/chi2.py
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McCabe index: 1
number of parameters: 1

id: 6345
unit: def _default_event_space_bijector()
file: tensorflow_probability/python/distributions/chi2.py
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McCabe index: 1
number of parameters: 1

id: 6346
unit: def mean_fn()
file: tensorflow_probability/python/distributions/gaussian_process.py
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McCabe index: 1
number of parameters: 1

id: 6347
unit: def kernel()
file: tensorflow_probability/python/distributions/gaussian_process.py
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McCabe index: 1
number of parameters: 1

id: 6348
unit: def index_points()
file: tensorflow_probability/python/distributions/gaussian_process.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6349
unit: def observation_noise_variance()
file: tensorflow_probability/python/distributions/gaussian_process.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6350
unit: def cholesky_fn()
file: tensorflow_probability/python/distributions/gaussian_process.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6351
unit: def marginal_fn()
file: tensorflow_probability/python/distributions/gaussian_process.py
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McCabe index: 1
number of parameters: 1

id: 6352
unit: def jitter()
file: tensorflow_probability/python/distributions/gaussian_process.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6353
unit: def _log_prob()
file: tensorflow_probability/python/distributions/gaussian_process.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 6354
unit: def _sample_n()
file: tensorflow_probability/python/distributions/gaussian_process.py
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size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 6355
unit: def _survival_function()
file: tensorflow_probability/python/distributions/gaussian_process.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 6356
unit: def _log_cdf()
file: tensorflow_probability/python/distributions/gaussian_process.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 6357
unit: def _entropy()
file: tensorflow_probability/python/distributions/gaussian_process.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6358
unit: def _quantile()
file: tensorflow_probability/python/distributions/gaussian_process.py
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McCabe index: 1
number of parameters: 3

id: 6359
unit: def _stddev()
file: tensorflow_probability/python/distributions/gaussian_process.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6360
unit: def _covariance()
file: tensorflow_probability/python/distributions/gaussian_process.py
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McCabe index: 2
number of parameters: 2

id: 6361
unit: def _mode()
file: tensorflow_probability/python/distributions/gaussian_process.py
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McCabe index: 1
number of parameters: 2

id: 6362
unit: def _default_event_space_bijector()
file: tensorflow_probability/python/distributions/gaussian_process.py
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McCabe index: 1
number of parameters: 1

id: 6363
unit: def _kl_gp_normal()
file: tensorflow_probability/python/distributions/gaussian_process.py
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McCabe index: 2
number of parameters: 3

id: 6364
unit: def _kl_gp_mvn()
file: tensorflow_probability/python/distributions/gaussian_process.py
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McCabe index: 2
number of parameters: 3

id: 6365
unit: def _kl_normal_gp()
file: tensorflow_probability/python/distributions/gaussian_process.py
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McCabe index: 2
number of parameters: 3

id: 6366
unit: def _kl_mvn_gp()
file: tensorflow_probability/python/distributions/gaussian_process.py
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McCabe index: 2
number of parameters: 3

id: 6367
unit: def loc()
file: tensorflow_probability/python/distributions/mvn_linear_operator.py
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McCabe index: 1
number of parameters: 1

id: 6368
unit: def scale()
file: tensorflow_probability/python/distributions/mvn_linear_operator.py
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McCabe index: 1
number of parameters: 1

id: 6369
unit: def _log_prob()
file: tensorflow_probability/python/distributions/mvn_linear_operator.py
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McCabe index: 1
number of parameters: 2

id: 6370
unit: def _prob()
file: tensorflow_probability/python/distributions/mvn_linear_operator.py
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McCabe index: 1
number of parameters: 2

id: 6371
unit: def _mode()
file: tensorflow_probability/python/distributions/mvn_linear_operator.py
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McCabe index: 1
number of parameters: 1

id: 6372
unit: def _default_event_space_bijector()
file: tensorflow_probability/python/distributions/mvn_linear_operator.py
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McCabe index: 1
number of parameters: 1

id: 6373
unit: def _parameter_control_dependencies()
file: tensorflow_probability/python/distributions/mvn_linear_operator.py
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McCabe index: 1
number of parameters: 2

id: 6374
unit: def df()
file: tensorflow_probability/python/distributions/student_t_process_regression_model.py
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McCabe index: 1
number of parameters: 1

id: 6375
unit: def schur_complement()
file: tensorflow_probability/python/distributions/student_t_process_regression_model.py
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McCabe index: 1
number of parameters: 1

id: 6376
unit: def fixed_inputs_observations()
file: tensorflow_probability/python/distributions/student_t_process_regression_model.py
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McCabe index: 1
number of parameters: 1

id: 6377
unit: def divisor_matrix_cholesky()
file: tensorflow_probability/python/distributions/student_t_process_regression_model.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6378
unit: def observation_index_points()
file: tensorflow_probability/python/distributions/student_t_process_regression_model.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6379
unit: def observation_cholesky()
file: tensorflow_probability/python/distributions/student_t_process_regression_model.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6380
unit: def observations()
file: tensorflow_probability/python/distributions/student_t_process_regression_model.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6381
unit: def predictive_noise_variance()
file: tensorflow_probability/python/distributions/student_t_process_regression_model.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

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unit: def low()
file: tensorflow_probability/python/distributions/uniform.py
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unit: def high()
file: tensorflow_probability/python/distributions/uniform.py
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size: 2 LOC
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id: 6384
unit: def _event_shape_tensor()
file: tensorflow_probability/python/distributions/uniform.py
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size: 2 LOC
McCabe index: 1
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id: 6385
unit: def _event_shape()
file: tensorflow_probability/python/distributions/uniform.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6386
unit: def _quantile()
file: tensorflow_probability/python/distributions/uniform.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6387
unit: def _entropy()
file: tensorflow_probability/python/distributions/uniform.py
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id: 6388
unit: def _mean()
file: tensorflow_probability/python/distributions/uniform.py
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McCabe index: 1
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id: 6389
unit: def _variance()
file: tensorflow_probability/python/distributions/uniform.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6390
unit: def _stddev()
file: tensorflow_probability/python/distributions/uniform.py
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size: 2 LOC
McCabe index: 1
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id: 6391
unit: def _mode()
file: tensorflow_probability/python/distributions/matrix_normal_linear_operator.py
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size: 2 LOC
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number of parameters: 1

id: 6392
unit: def _log_prob()
file: tensorflow_probability/python/distributions/matrix_normal_linear_operator.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6393
unit: def _entropy()
file: tensorflow_probability/python/distributions/matrix_normal_linear_operator.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6394
unit: def loc()
file: tensorflow_probability/python/distributions/matrix_normal_linear_operator.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6395
unit: def scale_row()
file: tensorflow_probability/python/distributions/matrix_normal_linear_operator.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6396
unit: def scale_column()
file: tensorflow_probability/python/distributions/matrix_normal_linear_operator.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6397
unit: def _event_shape_tensor()
file: tensorflow_probability/python/distributions/matrix_normal_linear_operator.py
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size: 2 LOC
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number of parameters: 2

id: 6398
unit: def _event_shape()
file: tensorflow_probability/python/distributions/matrix_normal_linear_operator.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6399
unit: def _default_event_space_bijector()
file: tensorflow_probability/python/distributions/matrix_normal_linear_operator.py
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size: 2 LOC
McCabe index: 1
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id: 6400
unit: def loc()
file: tensorflow_probability/python/distributions/normal.py
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McCabe index: 1
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id: 6401
unit: def scale()
file: tensorflow_probability/python/distributions/normal.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6402
unit: def _event_shape_tensor()
file: tensorflow_probability/python/distributions/normal.py
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size: 2 LOC
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id: 6403
unit: def _event_shape()
file: tensorflow_probability/python/distributions/normal.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6404
unit: def _log_cdf()
file: tensorflow_probability/python/distributions/normal.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6405
unit: def _cdf()
file: tensorflow_probability/python/distributions/normal.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6406
unit: def _log_survival_function()
file: tensorflow_probability/python/distributions/normal.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6407
unit: def _survival_function()
file: tensorflow_probability/python/distributions/normal.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6408
unit: def _mean()
file: tensorflow_probability/python/distributions/normal.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6409
unit: def _quantile()
file: tensorflow_probability/python/distributions/normal.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6410
unit: def _stddev()
file: tensorflow_probability/python/distributions/normal.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6411
unit: def _default_event_space_bijector()
file: tensorflow_probability/python/distributions/normal.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6412
unit: def concentration1()
file: tensorflow_probability/python/distributions/sigmoid_beta.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6413
unit: def concentration0()
file: tensorflow_probability/python/distributions/sigmoid_beta.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6414
unit: def _default_event_space_bijector()
file: tensorflow_probability/python/distributions/sigmoid_beta.py
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size: 2 LOC
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number of parameters: 1

id: 6415
unit: def _event_shape_tensor()
file: tensorflow_probability/python/distributions/sigmoid_beta.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6416
unit: def _event_shape()
file: tensorflow_probability/python/distributions/sigmoid_beta.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6417
unit: def _log_normalization()
file: tensorflow_probability/python/distributions/sigmoid_beta.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 6418
unit: def _mode()
file: tensorflow_probability/python/distributions/sigmoid_beta.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6419
unit: def samples()
file: tensorflow_probability/python/distributions/empirical.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6420
unit: def _default_event_space_bijector()
file: tensorflow_probability/python/distributions/empirical.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6421
unit: def concentration()
file: tensorflow_probability/python/distributions/dirichlet.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6422
unit: def force_probs_to_zero_outside_support()
file: tensorflow_probability/python/distributions/dirichlet.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6423
unit: def _event_shape()
file: tensorflow_probability/python/distributions/dirichlet.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6424
unit: def _prob()
file: tensorflow_probability/python/distributions/dirichlet.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6425
unit: def loc()
file: tensorflow_probability/python/distributions/von_mises.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6426
unit: def concentration()
file: tensorflow_probability/python/distributions/von_mises.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6427
unit: def _event_shape_tensor()
file: tensorflow_probability/python/distributions/von_mises.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6428
unit: def _event_shape()
file: tensorflow_probability/python/distributions/von_mises.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6429
unit: def _mode()
file: tensorflow_probability/python/distributions/von_mises.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6430
unit: def _von_mises_sample_with_gradient()
file: tensorflow_probability/python/distributions/von_mises.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 6431
unit: def dimension()
file: tensorflow_probability/python/distributions/cholesky_lkj.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6432
unit: def concentration()
file: tensorflow_probability/python/distributions/cholesky_lkj.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6433
unit: def _event_shape_tensor()
file: tensorflow_probability/python/distributions/cholesky_lkj.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6434
unit: def _event_shape()
file: tensorflow_probability/python/distributions/cholesky_lkj.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6435
unit: def loc()
file: tensorflow_probability/python/distributions/poisson_lognormal.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6436
unit: def scale()
file: tensorflow_probability/python/distributions/poisson_lognormal.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6437
unit: def quadrature_size()
file: tensorflow_probability/python/distributions/poisson_lognormal.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6438
unit: def _event_shape()
file: tensorflow_probability/python/distributions/poisson_lognormal.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6439
unit: def _variance()
file: tensorflow_probability/python/distributions/poisson_lognormal.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6440
unit: def _stddev()
file: tensorflow_probability/python/distributions/poisson_lognormal.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6441
unit: def _default_event_space_bijector()
file: tensorflow_probability/python/distributions/poisson_lognormal.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6442
unit: def loc()
file: tensorflow_probability/python/distributions/gumbel.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6443
unit: def scale()
file: tensorflow_probability/python/distributions/gumbel.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6444
unit: def _mean()
file: tensorflow_probability/python/distributions/gumbel.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6445
unit: def _stddev()
file: tensorflow_probability/python/distributions/gumbel.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6446
unit: def _mode()
file: tensorflow_probability/python/distributions/gumbel.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6447
unit: def _default_event_space_bijector()
file: tensorflow_probability/python/distributions/gumbel.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6448
unit: def _parameter_control_dependencies()
file: tensorflow_probability/python/distributions/gumbel.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6449
unit: def low()
file: tensorflow_probability/python/distributions/pert.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6450
unit: def peak()
file: tensorflow_probability/python/distributions/pert.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6451
unit: def high()
file: tensorflow_probability/python/distributions/pert.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6452
unit: def temperature()
file: tensorflow_probability/python/distributions/pert.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6453
unit: def _event_shape()
file: tensorflow_probability/python/distributions/pert.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6454
unit: def _sample_n()
file: tensorflow_probability/python/distributions/pert.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 6455
unit: def _log_prob()
file: tensorflow_probability/python/distributions/pert.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6456
unit: def _log_cdf()
file: tensorflow_probability/python/distributions/pert.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6457
unit: def _entropy()
file: tensorflow_probability/python/distributions/pert.py
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McCabe index: 1
number of parameters: 1

id: 6458
unit: def _mean()
file: tensorflow_probability/python/distributions/pert.py
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McCabe index: 1
number of parameters: 1

id: 6459
unit: def _quantile()
file: tensorflow_probability/python/distributions/pert.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6460
unit: def distribution()
file: tensorflow_probability/python/distributions/batch_reshape.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6461
unit: def experimental_is_sharded()
file: tensorflow_probability/python/distributions/batch_reshape.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6462
unit: def _batch_shape()
file: tensorflow_probability/python/distributions/batch_reshape.py
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McCabe index: 1
number of parameters: 1

id: 6463
unit: def _event_shape_tensor()
file: tensorflow_probability/python/distributions/batch_reshape.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6464
unit: def _event_shape()
file: tensorflow_probability/python/distributions/batch_reshape.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6465
unit: def _is_increasing()
file: tensorflow_probability/python/distributions/batch_reshape.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6466
unit: def _forward_dtype()
file: tensorflow_probability/python/distributions/batch_reshape.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6467
unit: def _inverse_dtype()
file: tensorflow_probability/python/distributions/batch_reshape.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6468
unit: def _forward_event_shape_tensor()
file: tensorflow_probability/python/distributions/batch_reshape.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6469
unit: def _forward_event_shape()
file: tensorflow_probability/python/distributions/batch_reshape.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6470
unit: def _inverse_event_shape_tensor()
file: tensorflow_probability/python/distributions/batch_reshape.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6471
unit: def _inverse_event_shape()
file: tensorflow_probability/python/distributions/batch_reshape.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6472
unit: def cov_diag_factor()
file: tensorflow_probability/python/distributions/mvn_diag_plus_low_rank_covariance.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6473
unit: def cov_perturb_factor()
file: tensorflow_probability/python/distributions/mvn_diag_plus_low_rank_covariance.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6474
unit: def _is_increasing()
file: tensorflow_probability/python/distributions/lkj.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6475
unit: def _inverse()
file: tensorflow_probability/python/distributions/lkj.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6476
unit: def _forward_log_det_jacobian()
file: tensorflow_probability/python/distributions/lkj.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6477
unit: def dimension()
file: tensorflow_probability/python/distributions/lkj.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6478
unit: def concentration()
file: tensorflow_probability/python/distributions/lkj.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6479
unit: def input_output_cholesky()
file: tensorflow_probability/python/distributions/lkj.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6480
unit: def _event_shape_tensor()
file: tensorflow_probability/python/distributions/lkj.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6481
unit: def _event_shape()
file: tensorflow_probability/python/distributions/lkj.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6482
unit: def base_kernel()
file: tensorflow_probability/python/distributions/variational_gaussian_process.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6483
unit: def inducing_index_points()
file: tensorflow_probability/python/distributions/variational_gaussian_process.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6484
unit: def variational_scale()
file: tensorflow_probability/python/distributions/variational_gaussian_process.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6485
unit: def chol_kzz()
file: tensorflow_probability/python/distributions/variational_gaussian_process.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6486
unit: def inducing_index_points()
file: tensorflow_probability/python/distributions/variational_gaussian_process.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6487
unit: def variational_inducing_observations_loc()
file: tensorflow_probability/python/distributions/variational_gaussian_process.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6488
unit: def variational_inducing_observations_scale()
file: tensorflow_probability/python/distributions/variational_gaussian_process.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6489
unit: def predictive_noise_variance()
file: tensorflow_probability/python/distributions/variational_gaussian_process.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6490
unit: def loc()
file: tensorflow_probability/python/distributions/half_cauchy.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6491
unit: def scale()
file: tensorflow_probability/python/distributions/half_cauchy.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6492
unit: def _event_shape_tensor()
file: tensorflow_probability/python/distributions/half_cauchy.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6493
unit: def _event_shape()
file: tensorflow_probability/python/distributions/half_cauchy.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6494
unit: def _quantile()
file: tensorflow_probability/python/distributions/half_cauchy.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6495
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file: tensorflow_probability/python/distributions/half_cauchy.py
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unit: def distribution_fn()
file: tensorflow_probability/python/distributions/autoregressive.py
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unit: def sample0()
file: tensorflow_probability/python/distributions/autoregressive.py
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unit: def experimental_is_sharded()
file: tensorflow_probability/python/distributions/autoregressive.py
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unit: def distribution0()
file: tensorflow_probability/python/distributions/autoregressive.py
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unit: def _batch_shape()
file: tensorflow_probability/python/distributions/autoregressive.py
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unit: def _batch_shape_tensor()
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unit: def _event_shape()
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unit: def _event_shape_tensor()
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unit: def _log_prob()
file: tensorflow_probability/python/distributions/autoregressive.py
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unit: def _prob()
file: tensorflow_probability/python/distributions/autoregressive.py
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unit: def _default_event_space_bijector()
file: tensorflow_probability/python/distributions/autoregressive.py
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unit: def loc()
file: tensorflow_probability/python/distributions/logitnormal.py
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id: 6508
unit: def scale()
file: tensorflow_probability/python/distributions/logitnormal.py
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McCabe index: 1
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id: 6509
unit: def num_probit_terms_approx()
file: tensorflow_probability/python/distributions/logitnormal.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6510
unit: def gauss_hermite_scale_limit()
file: tensorflow_probability/python/distributions/logitnormal.py
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id: 6511
unit: def gauss_hermite_degree()
file: tensorflow_probability/python/distributions/logitnormal.py
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size: 2 LOC
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id: 6512
unit: def _default_event_space_bijector()
file: tensorflow_probability/python/distributions/logitnormal.py
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unit: def __init__()
file: tensorflow_probability/python/distributions/kullback_leibler.py
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McCabe index: 1
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id: 6514
unit: def _require_root()
file: tensorflow_probability/python/distributions/joint_distribution_auto_batched.py
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number of parameters: 1

id: 6515
unit: def logits()
file: tensorflow_probability/python/distributions/bernoulli.py
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McCabe index: 1
number of parameters: 1

id: 6516
unit: def probs()
file: tensorflow_probability/python/distributions/bernoulli.py
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McCabe index: 1
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id: 6517
unit: def _event_shape_tensor()
file: tensorflow_probability/python/distributions/bernoulli.py
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id: 6518
unit: def _event_shape()
file: tensorflow_probability/python/distributions/bernoulli.py
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unit: def _mean()
file: tensorflow_probability/python/distributions/bernoulli.py
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unit: def _mode()
file: tensorflow_probability/python/distributions/bernoulli.py
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unit: def _default_event_space_bijector()
file: tensorflow_probability/python/distributions/bernoulli.py
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id: 6522
unit: def _maximum_likelihood_parameters()
file: tensorflow_probability/python/distributions/bernoulli.py
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id: 6523
unit: def loc()
file: tensorflow_probability/python/distributions/moyal.py
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id: 6524
unit: def scale()
file: tensorflow_probability/python/distributions/moyal.py
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McCabe index: 1
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id: 6525
unit: def _mean()
file: tensorflow_probability/python/distributions/moyal.py
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id: 6526
unit: def _stddev()
file: tensorflow_probability/python/distributions/moyal.py
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McCabe index: 1
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id: 6527
unit: def _mode()
file: tensorflow_probability/python/distributions/moyal.py
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id: 6528
unit: def _default_event_space_bijector()
file: tensorflow_probability/python/distributions/moyal.py
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McCabe index: 1
number of parameters: 1

id: 6529
unit: def _parameter_control_dependencies()
file: tensorflow_probability/python/distributions/moyal.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6530
unit: def logits()
file: tensorflow_probability/python/distributions/categorical.py
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McCabe index: 1
number of parameters: 1

id: 6531
unit: def probs()
file: tensorflow_probability/python/distributions/categorical.py
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McCabe index: 1
number of parameters: 1

id: 6532
unit: def _event_shape_tensor()
file: tensorflow_probability/python/distributions/categorical.py
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McCabe index: 1
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id: 6533
unit: def _event_shape()
file: tensorflow_probability/python/distributions/categorical.py
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McCabe index: 1
number of parameters: 1

id: 6534
unit: def _default_event_space_bijector()
file: tensorflow_probability/python/distributions/categorical.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6535
unit: def _det_large_enough_mask()
file: tensorflow_probability/python/distributions/internal/correlation_matrix_volumes_lib.py
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size: 2 LOC
McCabe index: 3
number of parameters: 2

id: 6536
unit: def loc()
file: tensorflow_probability/python/distributions/normal_inverse_gaussian.py
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McCabe index: 1
number of parameters: 1

id: 6537
unit: def scale()
file: tensorflow_probability/python/distributions/normal_inverse_gaussian.py
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McCabe index: 1
number of parameters: 1

id: 6538
unit: def tailweight()
file: tensorflow_probability/python/distributions/normal_inverse_gaussian.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6539
unit: def skewness()
file: tensorflow_probability/python/distributions/normal_inverse_gaussian.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6540
unit: def _event_shape_tensor()
file: tensorflow_probability/python/distributions/normal_inverse_gaussian.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6541
unit: def _event_shape()
file: tensorflow_probability/python/distributions/normal_inverse_gaussian.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6542
unit: def _default_event_space_bijector()
file: tensorflow_probability/python/distributions/normal_inverse_gaussian.py
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McCabe index: 1
number of parameters: 1

id: 6543
unit: def logits()
file: tensorflow_probability/python/distributions/geometric.py
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McCabe index: 1
number of parameters: 1

id: 6544
unit: def probs()
file: tensorflow_probability/python/distributions/geometric.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6545
unit: def force_probs_to_zero_outside_support()
file: tensorflow_probability/python/distributions/geometric.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6546
unit: def _event_shape_tensor()
file: tensorflow_probability/python/distributions/geometric.py
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McCabe index: 1
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id: 6547
unit: def _event_shape()
file: tensorflow_probability/python/distributions/geometric.py
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McCabe index: 1
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id: 6548
unit: def _mean()
file: tensorflow_probability/python/distributions/geometric.py
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McCabe index: 1
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id: 6549
unit: def _mode()
file: tensorflow_probability/python/distributions/geometric.py
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McCabe index: 1
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id: 6550
unit: def _default_event_space_bijector()
file: tensorflow_probability/python/distributions/geometric.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6551
unit: def _maximum_likelihood_parameters()
file: tensorflow_probability/python/distributions/geometric.py
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size: 2 LOC
McCabe index: 1
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id: 6552
unit: def loc()
file: tensorflow_probability/python/distributions/truncated_normal.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6553
unit: def scale()
file: tensorflow_probability/python/distributions/truncated_normal.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6554
unit: def low()
file: tensorflow_probability/python/distributions/truncated_normal.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6555
unit: def high()
file: tensorflow_probability/python/distributions/truncated_normal.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6556
unit: def _event_shape()
file: tensorflow_probability/python/distributions/truncated_normal.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6557
unit: def _cdf()
file: tensorflow_probability/python/distributions/truncated_normal.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6558
unit: def scale()
file: tensorflow_probability/python/distributions/horseshoe.py
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McCabe index: 1
number of parameters: 1

id: 6559
unit: def _event_shape_tensor()
file: tensorflow_probability/python/distributions/horseshoe.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6560
unit: def _event_shape()
file: tensorflow_probability/python/distributions/horseshoe.py
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McCabe index: 1
number of parameters: 1

id: 6561
unit: def _mean()
file: tensorflow_probability/python/distributions/horseshoe.py
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id: 6562
unit: def _mode()
file: tensorflow_probability/python/distributions/horseshoe.py
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id: 6563
unit: def _default_event_space_bijector()
file: tensorflow_probability/python/distributions/horseshoe.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6564
unit: def loc()
file: tensorflow_probability/python/distributions/inverse_gaussian.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6565
unit: def concentration()
file: tensorflow_probability/python/distributions/inverse_gaussian.py
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McCabe index: 1
number of parameters: 1

id: 6566
unit: def _event_shape()
file: tensorflow_probability/python/distributions/inverse_gaussian.py
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McCabe index: 1
number of parameters: 1

id: 6567
unit: def _mean()
file: tensorflow_probability/python/distributions/inverse_gaussian.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6568
unit: def _variance()
file: tensorflow_probability/python/distributions/inverse_gaussian.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6569
unit: def rate1()
file: tensorflow_probability/python/distributions/skellam.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6570
unit: def rate2()
file: tensorflow_probability/python/distributions/skellam.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6571
unit: def log_rate1()
file: tensorflow_probability/python/distributions/skellam.py
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McCabe index: 1
number of parameters: 1

id: 6572
unit: def log_rate2()
file: tensorflow_probability/python/distributions/skellam.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6573
unit: def force_probs_to_zero_outside_support()
file: tensorflow_probability/python/distributions/skellam.py
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McCabe index: 1
number of parameters: 1

id: 6574
unit: def _event_shape_tensor()
file: tensorflow_probability/python/distributions/skellam.py
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McCabe index: 1
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id: 6575
unit: def _event_shape()
file: tensorflow_probability/python/distributions/skellam.py
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McCabe index: 1
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id: 6576
unit: def _default_event_space_bijector()
file: tensorflow_probability/python/distributions/skellam.py
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McCabe index: 1
number of parameters: 1

id: 6577
unit: def loc()
file: tensorflow_probability/python/distributions/exponentially_modified_gaussian.py
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McCabe index: 1
number of parameters: 1

id: 6578
unit: def scale()
file: tensorflow_probability/python/distributions/exponentially_modified_gaussian.py
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McCabe index: 1
number of parameters: 1

id: 6579
unit: def rate()
file: tensorflow_probability/python/distributions/exponentially_modified_gaussian.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6580
unit: def _event_shape_tensor()
file: tensorflow_probability/python/distributions/exponentially_modified_gaussian.py
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McCabe index: 1
number of parameters: 1

id: 6581
unit: def _event_shape()
file: tensorflow_probability/python/distributions/exponentially_modified_gaussian.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6582
unit: def _default_event_space_bijector()
file: tensorflow_probability/python/distributions/exponentially_modified_gaussian.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6583
unit: def total_count()
file: tensorflow_probability/python/distributions/multinomial.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6584
unit: def logits()
file: tensorflow_probability/python/distributions/multinomial.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6585
unit: def probs()
file: tensorflow_probability/python/distributions/multinomial.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6586
unit: def _event_shape_tensor()
file: tensorflow_probability/python/distributions/multinomial.py
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McCabe index: 2
number of parameters: 1

id: 6587
unit: def _default_event_space_bijector()
file: tensorflow_probability/python/distributions/multinomial.py
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McCabe index: 1
number of parameters: 1

id: 6588
unit: def df()
file: tensorflow_probability/python/distributions/student_t_process.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6589
unit: def observation_noise_variance()
file: tensorflow_probability/python/distributions/student_t_process.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6590
unit: def mean_fn()
file: tensorflow_probability/python/distributions/student_t_process.py
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McCabe index: 1
number of parameters: 1

id: 6591
unit: def kernel()
file: tensorflow_probability/python/distributions/student_t_process.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6592
unit: def index_points()
file: tensorflow_probability/python/distributions/student_t_process.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6593
unit: def marginal_fn()
file: tensorflow_probability/python/distributions/student_t_process.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6594
unit: def cholesky_fn()
file: tensorflow_probability/python/distributions/student_t_process.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6595
unit: def jitter()
file: tensorflow_probability/python/distributions/student_t_process.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6596
unit: def _log_prob()
file: tensorflow_probability/python/distributions/student_t_process.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 6597
unit: def _sample_n()
file: tensorflow_probability/python/distributions/student_t_process.py
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size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 6598
unit: def _survival_function()
file: tensorflow_probability/python/distributions/student_t_process.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 6599
unit: def _log_cdf()
file: tensorflow_probability/python/distributions/student_t_process.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 6600
unit: def _entropy()
file: tensorflow_probability/python/distributions/student_t_process.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6601
unit: def _mean()
file: tensorflow_probability/python/distributions/student_t_process.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6602
unit: def _quantile()
file: tensorflow_probability/python/distributions/student_t_process.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 6603
unit: def _stddev()
file: tensorflow_probability/python/distributions/student_t_process.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6604
unit: def _covariance()
file: tensorflow_probability/python/distributions/student_t_process.py
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end line: 0
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McCabe index: 2
number of parameters: 2

id: 6605
unit: def _mode()
file: tensorflow_probability/python/distributions/student_t_process.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6606
unit: def _default_event_space_bijector()
file: tensorflow_probability/python/distributions/student_t_process.py
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McCabe index: 1
number of parameters: 1

id: 6607
unit: def cat()
file: tensorflow_probability/python/distributions/mixture.py
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McCabe index: 1
number of parameters: 1

id: 6608
unit: def components()
file: tensorflow_probability/python/distributions/mixture.py
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McCabe index: 1
number of parameters: 1

id: 6609
unit: def num_components()
file: tensorflow_probability/python/distributions/mixture.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6610
unit: def _event_shape_tensor()
file: tensorflow_probability/python/distributions/mixture.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6611
unit: def _event_shape()
file: tensorflow_probability/python/distributions/mixture.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6612
unit: def _default_event_space_bijector()
file: tensorflow_probability/python/distributions/mixture.py
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size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 6613
unit: def initial_state_prior()
file: tensorflow_probability/python/distributions/markov_chain.py
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unit: def chain()
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unit: def initial_bijector()
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file: tensorflow_probability/python/distributions/zipf.py
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unit: def interpolate_nondiscrete()
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unit: def constrain_between_eps_and_one_minus_eps()
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unit: def rtol()
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file: tensorflow_probability/python/distributions/generalized_normal.py
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unit: def scale()
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unit: def power()
file: tensorflow_probability/python/distributions/generalized_normal.py
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unit: def _event_shape_tensor()
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unit: def _event_shape()
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unit: def mixture_distribution()
file: tensorflow_probability/python/distributions/mixture_same_family.py
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id: 6654
unit: def components_distribution()
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unit: def _event_shape_tensor()
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unit: def concentration()
file: tensorflow_probability/python/distributions/gamma_gamma.py
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id: 6660
unit: def mixing_concentration()
file: tensorflow_probability/python/distributions/gamma_gamma.py
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id: 6661
unit: def mixing_rate()
file: tensorflow_probability/python/distributions/gamma_gamma.py
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unit: def _default_event_space_bijector()
file: tensorflow_probability/python/distributions/gamma_gamma.py
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unit: def concentration()
file: tensorflow_probability/python/distributions/inverse_gamma.py
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id: 6666
unit: def scale()
file: tensorflow_probability/python/distributions/inverse_gamma.py
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unit: def _event_shape_tensor()
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unit: def _event_shape()
file: tensorflow_probability/python/distributions/inverse_gamma.py
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id: 6669
unit: def _cdf()
file: tensorflow_probability/python/distributions/inverse_gamma.py
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id: 6670
unit: def _mode()
file: tensorflow_probability/python/distributions/inverse_gamma.py
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id: 6671
unit: def total_count()
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id: 6672
unit: def logits()
file: tensorflow_probability/python/distributions/negative_binomial.py
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id: 6673
unit: def probs()
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unit: def _event_shape_tensor()
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unit: def _event_shape()
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unit: def concentration1_numerator()
file: tensorflow_probability/python/distributions/beta_quotient.py
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id: 6678
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file: tensorflow_probability/python/distributions/beta_quotient.py
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id: 6679
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id: 6680
unit: def concentration0_denominator()
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id: 6686
unit: def force_probs_to_zero_outside_support()
file: tensorflow_probability/python/distributions/beta.py
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file: tensorflow_probability/python/distributions/beta.py
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file: tensorflow_probability/python/distributions/beta.py
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id: 6690
unit: def _log_cdf()
file: tensorflow_probability/python/distributions/beta.py
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id: 6691
unit: def _log_normalization()
file: tensorflow_probability/python/distributions/beta.py
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id: 6693
unit: def scale_tril()
file: tensorflow_probability/python/distributions/mvn_tril.py
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id: 6694
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file: tensorflow_probability/python/distributions/doublesided_maxwell.py
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id: 6695
unit: def scale()
file: tensorflow_probability/python/distributions/doublesided_maxwell.py
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unit: def _event_shape_tensor()
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unit: def _event_shape()
file: tensorflow_probability/python/distributions/doublesided_maxwell.py
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id: 6698
unit: def _mean()
file: tensorflow_probability/python/distributions/doublesided_maxwell.py
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id: 6699
unit: def _stddev()
file: tensorflow_probability/python/distributions/doublesided_maxwell.py
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id: 6700
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id: 6701
unit: def logits()
file: tensorflow_probability/python/distributions/continuous_bernoulli.py
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id: 6702
unit: def probs()
file: tensorflow_probability/python/distributions/continuous_bernoulli.py
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id: 6703
unit: def _event_shape_tensor()
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id: 6704
unit: def _event_shape()
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id: 6705
unit: def _mode()
file: tensorflow_probability/python/distributions/continuous_bernoulli.py
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id: 6706
unit: def _default_event_space_bijector()
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id: 6707
unit: def rate()
file: tensorflow_probability/python/distributions/exponential.py
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McCabe index: 1
number of parameters: 1

id: 6708
unit: def _quantile()
file: tensorflow_probability/python/distributions/exponential.py
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number of parameters: 2

id: 6709
unit: def _default_event_space_bijector()
file: tensorflow_probability/python/distributions/exponential.py
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number of parameters: 1

id: 6710
unit: def _maximum_likelihood_parameters()
file: tensorflow_probability/python/distributions/exponential.py
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id: 6711
unit: def df()
file: tensorflow_probability/python/distributions/chi.py
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id: 6712
unit: def _default_event_space_bijector()
file: tensorflow_probability/python/distributions/chi.py
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id: 6713
unit: def concentration1()
file: tensorflow_probability/python/distributions/kumaraswamy.py
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number of parameters: 1

id: 6714
unit: def concentration0()
file: tensorflow_probability/python/distributions/kumaraswamy.py
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id: 6715
unit: def _mean()
file: tensorflow_probability/python/distributions/kumaraswamy.py
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id: 6716
unit: def _default_event_space_bijector()
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id: 6717
unit: def _parameter_control_dependencies()
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id: 6718
unit: def scale()
file: tensorflow_probability/python/distributions/pareto.py
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number of parameters: 1

id: 6719
unit: def concentration()
file: tensorflow_probability/python/distributions/pareto.py
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id: 6720
unit: def _event_shape()
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id: 6721
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file: tensorflow_probability/python/distributions/half_normal.py
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id: 6724
unit: def _log_survival_function()
file: tensorflow_probability/python/distributions/half_normal.py
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McCabe index: 1
number of parameters: 2

id: 6725
unit: def _entropy()
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McCabe index: 1
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id: 6726
unit: def _mean()
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McCabe index: 1
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id: 6727
unit: def _quantile()
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id: 6728
unit: def _mode()
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McCabe index: 1
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id: 6729
unit: def _variance()
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McCabe index: 1
number of parameters: 1

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unit: def _default_event_space_bijector()
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McCabe index: 1
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id: 6731
unit: def _maximum_likelihood_parameters()
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McCabe index: 1
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unit: def _fixed_sample()
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id: 6733
unit: def distribution()
file: tensorflow_probability/python/distributions/masked.py
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unit: def validity_mask()
file: tensorflow_probability/python/distributions/masked.py
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unit: def safe_sample_fn()
file: tensorflow_probability/python/distributions/masked.py
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id: 6736
unit: def experimental_is_sharded()
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id: 6737
unit: def _event_shape()
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unit: def _event_shape_tensor()
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unit: def _forward_event_shape()
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unit: def _inverse_event_shape()
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unit: def _inverse_event_shape_tensor()
file: tensorflow_probability/python/distributions/masked.py
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id: 6743
unit: def cutpoints()
file: tensorflow_probability/python/distributions/stopping_ratio_logistic.py
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id: 6744
unit: def loc()
file: tensorflow_probability/python/distributions/stopping_ratio_logistic.py
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id: 6745
unit: def categorical_probs()
file: tensorflow_probability/python/distributions/stopping_ratio_logistic.py
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McCabe index: 1
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unit: def _num_categories()
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unit: def _event_shape_tensor()
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unit: def _event_shape()
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id: 6749
unit: def _default_event_space_bijector()
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unit: def distribution()
file: tensorflow_probability/python/distributions/transformed_distribution.py
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id: 6751
unit: def bijector()
file: tensorflow_probability/python/distributions/transformed_distribution.py
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id: 6752
unit: def experimental_is_sharded()
file: tensorflow_probability/python/distributions/transformed_distribution.py
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id: 6753
unit: def _event_shape()
file: tensorflow_probability/python/distributions/transformed_distribution.py
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id: 6754
unit: def _mode()
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id: 6755
unit: def _mean()
file: tensorflow_probability/python/distributions/transformed_distribution.py
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id: 6756
unit: def distribution()
file: tensorflow_probability/python/distributions/batch_broadcast.py
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unit: def with_shape()
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id: 6759
unit: def experimental_shard_axis_names()
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id: 6760
unit: def _event_shape()
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unit: def _forward_event_shape_tensor()
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unit: def _inverse_event_shape()
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unit: def _inverse_event_shape_tensor()
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unit: def _forward()
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id: 6768
unit: def _forward_log_det_jacobian()
file: tensorflow_probability/python/distributions/batch_broadcast.py
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McCabe index: 1
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id: 6769
unit: def _inverse()
file: tensorflow_probability/python/distributions/batch_broadcast.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6770
unit: def _inverse_log_det_jacobian()
file: tensorflow_probability/python/distributions/batch_broadcast.py
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id: 6771
unit: def loc()
file: tensorflow_probability/python/distributions/sinh_arcsinh.py
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id: 6772
unit: def scale()
file: tensorflow_probability/python/distributions/sinh_arcsinh.py
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number of parameters: 1

id: 6773
unit: def tailweight()
file: tensorflow_probability/python/distributions/sinh_arcsinh.py
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number of parameters: 1

id: 6774
unit: def skewness()
file: tensorflow_probability/python/distributions/sinh_arcsinh.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6775
unit: def _default_event_space_bijector()
file: tensorflow_probability/python/distributions/sinh_arcsinh.py
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id: 6776
unit: def df()
file: tensorflow_probability/python/distributions/student_t.py
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id: 6777
unit: def loc()
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id: 6778
unit: def scale()
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id: 6779
unit: def _event_shape_tensor()
file: tensorflow_probability/python/distributions/student_t.py
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id: 6780
unit: def _event_shape()
file: tensorflow_probability/python/distributions/student_t.py
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unit: def _default_event_space_bijector()
file: tensorflow_probability/python/distributions/student_t.py
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id: 6782
unit: def df()
file: tensorflow_probability/python/distributions/half_student_t.py
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id: 6783
unit: def loc()
file: tensorflow_probability/python/distributions/half_student_t.py
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McCabe index: 1
number of parameters: 1

id: 6784
unit: def scale()
file: tensorflow_probability/python/distributions/half_student_t.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6785
unit: def _event_shape_tensor()
file: tensorflow_probability/python/distributions/half_student_t.py
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number of parameters: 1

id: 6786
unit: def _event_shape()
file: tensorflow_probability/python/distributions/half_student_t.py
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McCabe index: 1
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id: 6787
unit: def distribution()
file: tensorflow_probability/python/distributions/independent.py
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McCabe index: 1
number of parameters: 1

id: 6788
unit: def reinterpreted_batch_ndims()
file: tensorflow_probability/python/distributions/independent.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6789
unit: def experimental_is_sharded()
file: tensorflow_probability/python/distributions/independent.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6790
unit: def _sample_n()
file: tensorflow_probability/python/distributions/independent.py
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size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 6791
unit: def _log_cdf()
file: tensorflow_probability/python/distributions/independent.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 6792
unit: def _entropy()
file: tensorflow_probability/python/distributions/independent.py
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id: 6793
unit: def _mean()
file: tensorflow_probability/python/distributions/independent.py
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McCabe index: 1
number of parameters: 2

id: 6794
unit: def _variance()
file: tensorflow_probability/python/distributions/independent.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6795
unit: def _stddev()
file: tensorflow_probability/python/distributions/independent.py
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size: 2 LOC
McCabe index: 1
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id: 6796
unit: def _mode()
file: tensorflow_probability/python/distributions/independent.py
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id: 6797
unit: def loc()
file: tensorflow_probability/python/distributions/cauchy.py
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McCabe index: 1
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id: 6798
unit: def scale()
file: tensorflow_probability/python/distributions/cauchy.py
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McCabe index: 1
number of parameters: 1

id: 6799
unit: def _event_shape_tensor()
file: tensorflow_probability/python/distributions/cauchy.py
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id: 6800
unit: def _event_shape()
file: tensorflow_probability/python/distributions/cauchy.py
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id: 6801
unit: def _cdf()
file: tensorflow_probability/python/distributions/cauchy.py
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id: 6802
unit: def _log_cdf()
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id: 6803
unit: def _mode()
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id: 6804
unit: def _default_event_space_bijector()
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id: 6805
unit: def loc()
file: tensorflow_probability/python/distributions/laplace.py
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id: 6806
unit: def scale()
file: tensorflow_probability/python/distributions/laplace.py
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id: 6807
unit: def _event_shape_tensor()
file: tensorflow_probability/python/distributions/laplace.py
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id: 6808
unit: def _event_shape()
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id: 6809
unit: def _log_cdf()
file: tensorflow_probability/python/distributions/laplace.py
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McCabe index: 1
number of parameters: 2

id: 6810
unit: def _log_survival_function()
file: tensorflow_probability/python/distributions/laplace.py
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id: 6811
unit: def _median()
file: tensorflow_probability/python/distributions/laplace.py
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id: 6812
unit: def _mode()
file: tensorflow_probability/python/distributions/laplace.py
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id: 6813
unit: def _z()
file: tensorflow_probability/python/distributions/laplace.py
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McCabe index: 1
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id: 6814
unit: def _default_event_space_bijector()
file: tensorflow_probability/python/distributions/laplace.py
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number of parameters: 1

id: 6815
unit: def loc()
file: tensorflow_probability/python/distributions/lognormal.py
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McCabe index: 1
number of parameters: 1

id: 6816
unit: def scale()
file: tensorflow_probability/python/distributions/lognormal.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6817
unit: def _mean()
file: tensorflow_probability/python/distributions/lognormal.py
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McCabe index: 1
number of parameters: 1

id: 6818
unit: def _mode()
file: tensorflow_probability/python/distributions/lognormal.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6819
unit: def _default_event_space_bijector()
file: tensorflow_probability/python/distributions/lognormal.py
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McCabe index: 1
number of parameters: 1

id: 6820
unit: def concentration()
file: tensorflow_probability/python/distributions/weibull.py
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McCabe index: 1
number of parameters: 1

id: 6821
unit: def scale()
file: tensorflow_probability/python/distributions/weibull.py
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McCabe index: 1
number of parameters: 1

id: 6822
unit: def _log_prob()
file: tensorflow_probability/python/distributions/weibull.py
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McCabe index: 1
number of parameters: 2

id: 6823
unit: def _parameter_control_dependencies()
file: tensorflow_probability/python/distributions/weibull.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6824
unit: def _default_event_space_bijector()
file: tensorflow_probability/python/distributions/weibull.py
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McCabe index: 1
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id: 6825
unit: def model()
file: tensorflow_probability/python/distributions/joint_distribution_coroutine.py
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McCabe index: 1
number of parameters: 1

id: 6826
unit: def total_count()
file: tensorflow_probability/python/distributions/binomial.py
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McCabe index: 1
number of parameters: 1

id: 6827
unit: def logits()
file: tensorflow_probability/python/distributions/binomial.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6828
unit: def probs()
file: tensorflow_probability/python/distributions/binomial.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6829
unit: def _event_shape_tensor()
file: tensorflow_probability/python/distributions/binomial.py
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McCabe index: 1
number of parameters: 1

id: 6830
unit: def _event_shape()
file: tensorflow_probability/python/distributions/binomial.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 6831
unit: def _prob()
file: tensorflow_probability/python/distributions/binomial.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 6832
unit: def _default_event_space_bijector()
file: tensorflow_probability/python/distributions/binomial.py
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McCabe index: 1
number of parameters: 1

id: 6833
unit: def total_count()
file: tensorflow_probability/python/distributions/bates.py
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McCabe index: 1
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id: 6834
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file: tensorflow_probability/python/distributions/bates.py
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McCabe index: 1
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id: 6835
unit: def high()
file: tensorflow_probability/python/distributions/bates.py
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McCabe index: 1
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id: 6837
unit: def _event_shape()
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id: 6838
unit: def _prob()
file: tensorflow_probability/python/distributions/bates.py
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McCabe index: 1
number of parameters: 2

id: 6839
unit: def _cdf()
file: tensorflow_probability/python/distributions/bates.py
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McCabe index: 1
number of parameters: 2

id: 6840
unit: def _mode()
file: tensorflow_probability/python/distributions/bates.py
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McCabe index: 1
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id: 6841
unit: def rate()
file: tensorflow_probability/python/distributions/poisson.py
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McCabe index: 1
number of parameters: 1

id: 6842
unit: def log_rate()
file: tensorflow_probability/python/distributions/poisson.py
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McCabe index: 1
number of parameters: 1

id: 6843
unit: def interpolate_nondiscrete()
file: tensorflow_probability/python/distributions/poisson.py
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McCabe index: 1
number of parameters: 1

id: 6844
unit: def force_probs_to_zero_outside_support()
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McCabe index: 1
number of parameters: 1

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unit: def _event_shape_tensor()
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unit: def _event_shape()
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McCabe index: 1
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id: 6847
unit: def _log_cdf()
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McCabe index: 1
number of parameters: 2

id: 6848
unit: def _log_survival_function()
file: tensorflow_probability/python/distributions/poisson.py
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McCabe index: 1
number of parameters: 2

id: 6849
unit: def _log_normalization()
file: tensorflow_probability/python/distributions/poisson.py
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McCabe index: 1
number of parameters: 2

id: 6850
unit: def _mean()
file: tensorflow_probability/python/distributions/poisson.py
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McCabe index: 1
number of parameters: 1

id: 6851
unit: def _variance()
file: tensorflow_probability/python/distributions/poisson.py
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McCabe index: 1
number of parameters: 1

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unit: def _default_event_space_bijector()
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unit: def _maximum_likelihood_parameters()
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unit: def scores()
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unit: def _default_event_space_bijector()
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unit: def distribution()
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unit: def sample_shape()
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unit: def experimental_is_sharded()
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unit: def _log_prob()
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unit: def logits()
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unit: def probs()
file: tensorflow_probability/python/distributions/onehot_categorical.py
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unit: def _mean()
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file: tensorflow_probability/python/distributions/onehot_categorical.py
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unit: def probits()
file: tensorflow_probability/python/distributions/probit_bernoulli.py
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id: 6878
unit: def probs()
file: tensorflow_probability/python/distributions/probit_bernoulli.py
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unit: def _event_shape_tensor()
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unit: def _event_shape()
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unit: def _mean()
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unit: def _mode()
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unit: def _default_event_space_bijector()
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file: tensorflow_probability/python/layers/initializers.py
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unit: def validate_args()
file: tensorflow_probability/python/layers/initializers.py
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unit: def _type_spec()
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unit: def _to_components()
file: tensorflow_probability/python/layers/internal/tensor_tuple.py
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unit: def _shape_invariant_to_components()
file: tensorflow_probability/python/layers/internal/tensor_tuple.py
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unit: def _is_graph_tensor()
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unit: def __repr__()
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unit: def _batch()
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unit: def _unbatch()
file: tensorflow_probability/python/layers/internal/tensor_tuple.py
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unit: def _parameter_properties()
file: tensorflow_probability/python/layers/internal/distribution_tensor_coercible.py
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unit: def _batch_shape_tensor()
file: tensorflow_probability/python/layers/internal/distribution_tensor_coercible.py
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unit: def _batch_shape()
file: tensorflow_probability/python/layers/internal/distribution_tensor_coercible.py
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unit: def _event_shape_tensor()
file: tensorflow_probability/python/layers/internal/distribution_tensor_coercible.py
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unit: def _event_shape()
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unit: def _log_prob()
file: tensorflow_probability/python/layers/internal/distribution_tensor_coercible.py
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unit: def _prob()
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id: 6912
unit: def _log_cdf()
file: tensorflow_probability/python/layers/internal/distribution_tensor_coercible.py
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unit: def _cdf()
file: tensorflow_probability/python/layers/internal/distribution_tensor_coercible.py
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id: 6914
unit: def _log_survival_function()
file: tensorflow_probability/python/layers/internal/distribution_tensor_coercible.py
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id: 6915
unit: def _survival_function()
file: tensorflow_probability/python/layers/internal/distribution_tensor_coercible.py
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id: 6916
unit: def _entropy()
file: tensorflow_probability/python/layers/internal/distribution_tensor_coercible.py
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unit: def _mean()
file: tensorflow_probability/python/layers/internal/distribution_tensor_coercible.py
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unit: def _quantile()
file: tensorflow_probability/python/layers/internal/distribution_tensor_coercible.py
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id: 6919
unit: def _variance()
file: tensorflow_probability/python/layers/internal/distribution_tensor_coercible.py
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id: 6920
unit: def _stddev()
file: tensorflow_probability/python/layers/internal/distribution_tensor_coercible.py
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unit: def _covariance()
file: tensorflow_probability/python/layers/internal/distribution_tensor_coercible.py
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unit: def _mode()
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id: 6923
unit: def _parameter_control_dependencies()
file: tensorflow_probability/python/layers/internal/distribution_tensor_coercible.py
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unit: def shape()
file: tensorflow_probability/python/layers/internal/distribution_tensor_coercible.py
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id: 6925
unit: def _kl_tensor_coercible_distribution()
file: tensorflow_probability/python/layers/internal/distribution_tensor_coercible.py
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id: 6926
unit: def _kl_distribution_tensor_coercible()
file: tensorflow_probability/python/layers/internal/distribution_tensor_coercible.py
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id: 6927
unit: def _variable_creator()
file: tensorflow_probability/python/layers/distribution_layer.py
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id: 6928
unit: def params_size()
file: tensorflow_probability/python/layers/distribution_layer.py
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id: 6929
unit: def distribution_b()
file: tensorflow_probability/python/layers/distribution_layer.py
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id: 6930
unit: def use_exact_kl()
file: tensorflow_probability/python/layers/distribution_layer.py
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id: 6931
unit: def test_points_reduce_axis()
file: tensorflow_probability/python/layers/distribution_layer.py
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McCabe index: 1
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id: 6932
unit: def test_points_fn()
file: tensorflow_probability/python/layers/distribution_layer.py
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id: 6933
unit: def weight()
file: tensorflow_probability/python/layers/distribution_layer.py
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unit: def _serialize()
file: tensorflow_probability/python/layers/distribution_layer.py
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id: 6935
unit: def get_config()
file: tensorflow_probability/python/optimizer/variational_sgd.py
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id: 6936
unit: def get_config()
file: tensorflow_probability/python/optimizer/sgld.py
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id: 6937
unit: def variable_scope()
file: tensorflow_probability/python/optimizer/sgld.py
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id: 6938
unit: def _check_failure()
file: tensorflow_probability/python/optimizer/differential_evolution.py
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id: 6939
unit: def _very_close()
file: tensorflow_probability/python/optimizer/linesearch/hager_zhang.py
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id: 6940
unit: def _needs_bisect()
file: tensorflow_probability/python/optimizer/linesearch/internal/hager_zhang_lib.py
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id: 6941
unit: def _is_negative_inf()
file: tensorflow_probability/python/optimizer/linesearch/internal/hager_zhang_lib.py
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McCabe index: 1
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id: 6942
unit: def _is_rising()
file: tensorflow_probability/python/optimizer/linesearch/internal/hager_zhang_lib.py
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id: 6943
unit: def converged_any()
file: tensorflow_probability/python/optimizer/bfgs_utils.py
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McCabe index: 1
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id: 6944
unit: def converged_all()
file: tensorflow_probability/python/optimizer/bfgs_utils.py
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id: 6945
unit: def _is_negative_inf()
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McCabe index: 1
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id: 6946
unit: def update_fields()
file: tensorflow_probability/python/optimizer/bfgs_utils.py
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McCabe index: 1
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id: 6947
unit: def _add_ignoring_nones()
file: tensorflow_probability/python/optimizer/proximal_hessian_sparse.py
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McCabe index: 1
number of parameters: 1

id: 6948
unit: def _mul_ignoring_nones()
file: tensorflow_probability/python/optimizer/proximal_hessian_sparse.py
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McCabe index: 1
number of parameters: 1

id: 6949
unit: def _mul_or_none()
file: tensorflow_probability/python/optimizer/proximal_hessian_sparse.py
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McCabe index: 1
number of parameters: 1

id: 6950
unit: def _get_search_direction()
file: tensorflow_probability/python/optimizer/bfgs.py
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McCabe index: 1
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id: 6951
unit: def _tensor_product()
file: tensorflow_probability/python/optimizer/bfgs.py
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McCabe index: 1
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id: 6952
unit: def min_num_steps()
file: tensorflow_probability/python/optimizer/convergence_criteria/convergence_criterion.py
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unit: def name()
file: tensorflow_probability/python/optimizer/convergence_criteria/convergence_criterion.py
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id: 6954
unit: def _bootstrap()
file: tensorflow_probability/python/optimizer/convergence_criteria/convergence_criterion.py
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id: 6955
unit: def _one_step()
file: tensorflow_probability/python/optimizer/convergence_criteria/convergence_criterion.py
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number of parameters: 6

id: 6956
unit: def atol()
file: tensorflow_probability/python/optimizer/convergence_criteria/loss_not_decreasing.py
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id: 6957
unit: def dtype()
file: tensorflow_probability/python/optimizer/convergence_criteria/loss_not_decreasing.py
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id: 6958
unit: def window_size()
file: tensorflow_probability/python/optimizer/convergence_criteria/loss_not_decreasing.py
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id: 6959
unit: def rtol()
file: tensorflow_probability/python/optimizer/convergence_criteria/loss_not_decreasing.py
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McCabe index: 1
number of parameters: 1

id: 6960
unit: def window_size()
file: tensorflow_probability/python/optimizer/convergence_criteria/successive_gradients_are_uncorrelated.py
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McCabe index: 1
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id: 6961
unit: def _replace_at_index()
file: tensorflow_probability/python/optimizer/nelder_mead.py
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McCabe index: 1
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id: 6962
unit: def experimental_shard_axis_names()
file: tensorflow_probability/python/experimental/distribute/sharded.py
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McCabe index: 1
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id: 6963
unit: def distribution()
file: tensorflow_probability/python/experimental/distribute/sharded.py
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McCabe index: 1
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id: 6964
unit: def _variance()
file: tensorflow_probability/python/experimental/distribute/sharded.py
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McCabe index: 1
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id: 6965
unit: def _batch_shape_tensor()
file: tensorflow_probability/python/experimental/distribute/sharded.py
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McCabe index: 1
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id: 6966
unit: def _batch_shape()
file: tensorflow_probability/python/experimental/distribute/sharded.py
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McCabe index: 1
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id: 6967
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unit: def proposal_distribution()
file: tensorflow_probability/python/experimental/distributions/importance_resample.py
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unit: def importance_sample_size()
file: tensorflow_probability/python/experimental/distributions/importance_resample.py
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unit: def sample_size()
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unit: def stochastic_approximation_seed()
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unit: def target_log_prob_fn()
file: tensorflow_probability/python/experimental/distributions/importance_resample.py
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unit: def _call_target_log_prob_fn()
file: tensorflow_probability/python/experimental/distributions/importance_resample.py
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unit: def loc()
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unit: def precision_factor()
file: tensorflow_probability/python/experimental/distributions/mvn_precision_factor_linop.py
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file: tensorflow_probability/python/experimental/distributions/mvn_precision_factor_linop.py
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unit: def _stddev()
file: tensorflow_probability/python/experimental/distributions/mvn_precision_factor_linop.py
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file: tensorflow_probability/python/experimental/distributions/mvn_precision_factor_linop.py
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id: 7017
unit: def _log_prob()
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unit: def _set_vector_index_unbatched()
file: tensorflow_probability/python/experimental/sts_gibbs/spike_and_slab.py
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id: 7019
unit: def _half_logdet()
file: tensorflow_probability/python/experimental/sts_gibbs/spike_and_slab.py
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id: 7020
unit: def event_shape()
file: tensorflow_probability/python/experimental/sts_gibbs/gibbs_sampler.py
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id: 7021
unit: def _default_event_space_bijector()
file: tensorflow_probability/python/experimental/sts_gibbs/gibbs_sampler.py
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id: 7022
unit: def _matmul_a_b_at()
file: tensorflow_probability/python/experimental/sequential/extended_kalman_filter.py
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id: 7023
unit: def batch_ndims()
file: tensorflow_probability/python/experimental/sequential/iterated_filter.py
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id: 7024
unit: def max_num_samples()
file: tensorflow_probability/python/experimental/sequential/iterated_filter.py
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id: 7025
unit: def values_with_sample_dim()
file: tensorflow_probability/python/experimental/sequential/iterated_filter.py
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unit: def batch_ndims()
file: tensorflow_probability/python/experimental/sequential/iterated_filter.py
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id: 7027
unit: def joint_initial_state_prior()
file: tensorflow_probability/python/experimental/sequential/iterated_filter.py
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id: 7028
unit: def joint_transition_fn()
file: tensorflow_probability/python/experimental/sequential/iterated_filter.py
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id: 7029
unit: def joint_observation_fn()
file: tensorflow_probability/python/experimental/sequential/iterated_filter.py
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id: 7030
unit: def joint_proposal_fn()
file: tensorflow_probability/python/experimental/sequential/iterated_filter.py
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unit: def name()
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id: 7032
unit: def parameter_constraining_bijector()
file: tensorflow_probability/python/experimental/sequential/iterated_filter.py
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id: 7033
unit: def parameterized_initial_state_prior_fn()
file: tensorflow_probability/python/experimental/sequential/iterated_filter.py
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id: 7034
unit: def parameterized_initial_state_proposal_fn()
file: tensorflow_probability/python/experimental/sequential/iterated_filter.py
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unit: def parameter_prior()
file: tensorflow_probability/python/experimental/sequential/iterated_filter.py
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id: 7036
unit: def function_names()
file: tensorflow_probability/python/experimental/auto_batching/frontend.py
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unit: def program()
file: tensorflow_probability/python/experimental/auto_batching/frontend.py
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id: 7038
unit: def _safety_checks()
file: tensorflow_probability/python/experimental/auto_batching/tf_backend.py
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unit: def _safety_checks()
file: tensorflow_probability/python/experimental/auto_batching/tf_backend.py
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unit: def _name()
file: tensorflow_probability/python/experimental/auto_batching/tf_backend.py
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unit: def _is_constant_gast_3()
file: tensorflow_probability/python/experimental/auto_batching/gast_util.py
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unit: def _is_ellipsis_gast_2()
file: tensorflow_probability/python/experimental/auto_batching/gast_util.py
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unit: def _is_ellipsis_gast_3()
file: tensorflow_probability/python/experimental/auto_batching/gast_util.py
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id: 7044
unit: def _fresh_block()
file: tensorflow_probability/python/experimental/auto_batching/dsl.py
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unit: def _update_last_instruction()
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unit: def cur_block()
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unit: def append_block()
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unit: def append_instruction()
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unit: def end_block_with_tail_call()
file: tensorflow_probability/python/experimental/auto_batching/lowering.py
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unit: def control_flow_graph()
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unit: def _is_return_block()
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unit: def is_running()
file: tensorflow_probability/python/experimental/auto_batching/stackless.py
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unit: def merge_dtypes()
file: tensorflow_probability/python/experimental/auto_batching/numpy_backend.py
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id: 7064
unit: def merge_shapes()
file: tensorflow_probability/python/experimental/auto_batching/numpy_backend.py
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unit: def static_value()
file: tensorflow_probability/python/experimental/auto_batching/numpy_backend.py
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unit: def prepare_for_cond()
file: tensorflow_probability/python/experimental/auto_batching/numpy_backend.py
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unit: def wrap_straightline_callable()
file: tensorflow_probability/python/experimental/auto_batching/numpy_backend.py
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unit: def is_staging()
file: tensorflow_probability/python/experimental/auto_batching/virtual_machine.py
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id: 7069
unit: def _choose_next_op()
file: tensorflow_probability/python/experimental/auto_batching/virtual_machine.py
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unit: def exit_index()
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unit: def next()
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unit: def parameters()
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unit: def inner_kernel()
file: tensorflow_probability/python/experimental/mcmc/windowed_sampling.py
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unit: def num_adaptation_steps()
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unit: def is_calibrated()
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unit: def experimental_shard_axis_names()
file: tensorflow_probability/python/experimental/mcmc/windowed_sampling.py
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unit: def num_results()
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unit: def progress_bar_fn()
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unit: def independent_chain_ndims()
file: tensorflow_probability/python/experimental/mcmc/potential_scale_reduction_reducer.py
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unit: def _trace_state_and_kernel_results()
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unit: def trace_fn()
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unit: def size()
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unit: def parameters()
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unit: def event_ndims()
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unit: def transform_fn()
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unit: def ddof()
file: tensorflow_probability/python/experimental/mcmc/covariance_reducer.py
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unit: def _squeeze_chains()
file: tensorflow_probability/python/experimental/mcmc/thermodynamic_integrals.py
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unit: def _reduce_with_axes()
file: tensorflow_probability/python/experimental/mcmc/gradient_based_trajectory_length_adaptation.py
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unit: def hmc_like_num_leapfrog_steps_getter_fn()
file: tensorflow_probability/python/experimental/mcmc/gradient_based_trajectory_length_adaptation.py
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unit: def hmc_like_proposed_state_getter_fn()
file: tensorflow_probability/python/experimental/mcmc/gradient_based_trajectory_length_adaptation.py
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unit: def inner_kernel()
file: tensorflow_probability/python/experimental/mcmc/gradient_based_trajectory_length_adaptation.py
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unit: def use_halton_sequence_jitter()
file: tensorflow_probability/python/experimental/mcmc/gradient_based_trajectory_length_adaptation.py
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unit: def num_adaptation_steps()
file: tensorflow_probability/python/experimental/mcmc/gradient_based_trajectory_length_adaptation.py
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unit: def max_leapfrog_steps()
file: tensorflow_probability/python/experimental/mcmc/gradient_based_trajectory_length_adaptation.py
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unit: def averaged_sq_grad_adaptation_rate()
file: tensorflow_probability/python/experimental/mcmc/gradient_based_trajectory_length_adaptation.py
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unit: def num_leapfrog_steps_getter_fn()
file: tensorflow_probability/python/experimental/mcmc/gradient_based_trajectory_length_adaptation.py
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unit: def step_size_getter_fn()
file: tensorflow_probability/python/experimental/mcmc/gradient_based_trajectory_length_adaptation.py
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unit: def proposed_velocity_getter_fn()
file: tensorflow_probability/python/experimental/mcmc/gradient_based_trajectory_length_adaptation.py
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unit: def log_accept_prob_getter_fn()
file: tensorflow_probability/python/experimental/mcmc/gradient_based_trajectory_length_adaptation.py
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unit: def proposed_state_getter_fn()
file: tensorflow_probability/python/experimental/mcmc/gradient_based_trajectory_length_adaptation.py
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unit: def validate_args()
file: tensorflow_probability/python/experimental/mcmc/gradient_based_trajectory_length_adaptation.py
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unit: def name()
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unit: def parameters()
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unit: def is_calibrated()
file: tensorflow_probability/python/experimental/mcmc/gradient_based_trajectory_length_adaptation.py
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id: 7235
unit: def experimental_shard_axis_names()
file: tensorflow_probability/python/experimental/mcmc/gradient_based_trajectory_length_adaptation.py
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id: 7236
unit: def experimental_with_shard_axes()
file: tensorflow_probability/python/experimental/mcmc/gradient_based_trajectory_length_adaptation.py
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id: 7237
unit: def experimental_reduce_chain_axis_names()
file: tensorflow_probability/python/experimental/mcmc/gradient_based_trajectory_length_adaptation.py
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id: 7238
unit: def target_log_prob_fn()
file: tensorflow_probability/python/experimental/mcmc/snaper_hmc.py
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unit: def step_size()
file: tensorflow_probability/python/experimental/mcmc/snaper_hmc.py
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unit: def num_adaptation_steps()
file: tensorflow_probability/python/experimental/mcmc/snaper_hmc.py
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unit: def num_mala_steps()
file: tensorflow_probability/python/experimental/mcmc/snaper_hmc.py
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unit: def max_leapfrog_steps()
file: tensorflow_probability/python/experimental/mcmc/snaper_hmc.py
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unit: def trajectory_length_adaptation_rate()
file: tensorflow_probability/python/experimental/mcmc/snaper_hmc.py
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unit: def state_ema_factor()
file: tensorflow_probability/python/experimental/mcmc/snaper_hmc.py
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unit: def principal_component_ema_factor()
file: tensorflow_probability/python/experimental/mcmc/snaper_hmc.py
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unit: def experimental_reduce_chain_axis_names()
file: tensorflow_probability/python/experimental/mcmc/snaper_hmc.py
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unit: def experimental_shard_axis_names()
file: tensorflow_probability/python/experimental/mcmc/snaper_hmc.py
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unit: def preconditioned_hamiltonian_monte_carlo_kwargs()
file: tensorflow_probability/python/experimental/mcmc/snaper_hmc.py
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unit: def validate_args()
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unit: def name()
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unit: def parameters()
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unit: def is_calibrated()
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unit: def experimental_with_shard_axes()
file: tensorflow_probability/python/experimental/mcmc/snaper_hmc.py
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unit: def bootstrap_results()
file: tensorflow_probability/python/experimental/mcmc/thinning_kernel.py
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unit: def is_calibrated()
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unit: def inner_kernel()
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unit: def num_steps_to_skip()
file: tensorflow_probability/python/experimental/mcmc/thinning_kernel.py
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unit: def name()
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unit: def parameters()
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unit: def is_calibrated()
file: tensorflow_probability/python/experimental/mcmc/sequential_monte_carlo_kernel.py
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unit: def name()
file: tensorflow_probability/python/experimental/mcmc/sequential_monte_carlo_kernel.py
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unit: def propose_and_update_log_weights_fn()
file: tensorflow_probability/python/experimental/mcmc/sequential_monte_carlo_kernel.py
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unit: def resample_criterion_fn()
file: tensorflow_probability/python/experimental/mcmc/sequential_monte_carlo_kernel.py
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unit: def unbiased_gradients()
file: tensorflow_probability/python/experimental/mcmc/sequential_monte_carlo_kernel.py
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unit: def resample_fn()
file: tensorflow_probability/python/experimental/mcmc/sequential_monte_carlo_kernel.py
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unit: def get_step_size()
file: tensorflow_probability/python/experimental/mcmc/kernel_builder.py
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unit: def set_step_size()
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unit: def use_default_step_size()
file: tensorflow_probability/python/experimental/mcmc/kernel_builder.py
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unit: def use_default_target_accept_prob()
file: tensorflow_probability/python/experimental/mcmc/kernel_builder.py
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unit: def clear_replica_exchange()
file: tensorflow_probability/python/experimental/mcmc/kernel_builder.py
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unit: def clear_transform()
file: tensorflow_probability/python/experimental/mcmc/kernel_builder.py
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unit: def set_num_steps_between_results()
file: tensorflow_probability/python/experimental/mcmc/kernel_builder.py
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unit: def set_show_progress()
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id: 7274
unit: def set_auto_tracing()
file: tensorflow_probability/python/experimental/mcmc/kernel_builder.py
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unit: def clear_tracing()
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unit: def set_reducer()
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unit: def clear_reducer()
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id: 7278
unit: def target_log_prob_fn()
file: tensorflow_probability/python/experimental/mcmc/preconditioned_nuts.py
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unit: def step_size()
file: tensorflow_probability/python/experimental/mcmc/preconditioned_nuts.py
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id: 7280
unit: def max_tree_depth()
file: tensorflow_probability/python/experimental/mcmc/preconditioned_nuts.py
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id: 7281
unit: def max_energy_diff()
file: tensorflow_probability/python/experimental/mcmc/preconditioned_nuts.py
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id: 7282
unit: def unrolled_leapfrog_steps()
file: tensorflow_probability/python/experimental/mcmc/preconditioned_nuts.py
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unit: def name()
file: tensorflow_probability/python/experimental/mcmc/preconditioned_nuts.py
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id: 7284
unit: def parallel_iterations()
file: tensorflow_probability/python/experimental/mcmc/preconditioned_nuts.py
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id: 7285
unit: def write_instruction()
file: tensorflow_probability/python/experimental/mcmc/preconditioned_nuts.py
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id: 7286
unit: def read_instruction()
file: tensorflow_probability/python/experimental/mcmc/preconditioned_nuts.py
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id: 7287
unit: def parameters()
file: tensorflow_probability/python/experimental/mcmc/preconditioned_nuts.py
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unit: def is_calibrated()
file: tensorflow_probability/python/experimental/mcmc/preconditioned_nuts.py
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id: 7289
unit: def experimental_shard_axis_names()
file: tensorflow_probability/python/experimental/mcmc/preconditioned_nuts.py
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McCabe index: 1
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id: 7290
unit: def experimental_with_shard_axes()
file: tensorflow_probability/python/experimental/mcmc/preconditioned_nuts.py
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McCabe index: 1
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id: 7291
unit: def get_kinetic_energy_fn()
file: tensorflow_probability/python/experimental/mcmc/preconditioned_nuts.py
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McCabe index: 1
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id: 7292
unit: def momentum_distribution()
file: tensorflow_probability/python/experimental/mcmc/preconditioned_hmc.py
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McCabe index: 1
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id: 7293
unit: def is_calibrated()
file: tensorflow_probability/python/experimental/mcmc/sample_discarding_kernel.py
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unit: def inner_kernel()
file: tensorflow_probability/python/experimental/mcmc/sample_discarding_kernel.py
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unit: def num_burnin_steps()
file: tensorflow_probability/python/experimental/mcmc/sample_discarding_kernel.py
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unit: def num_steps_between_results()
file: tensorflow_probability/python/experimental/mcmc/sample_discarding_kernel.py
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unit: def name()
file: tensorflow_probability/python/experimental/mcmc/sample_discarding_kernel.py
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unit: def parameters()
file: tensorflow_probability/python/experimental/mcmc/sample_discarding_kernel.py
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id: 7299
unit: def kernel_fn()
file: tensorflow_probability/python/experimental/linalg/linear_operator_psd_kernel.py
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McCabe index: 1
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unit: def kernel_args()
file: tensorflow_probability/python/experimental/linalg/linear_operator_psd_kernel.py
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unit: def _kernel()
file: tensorflow_probability/python/experimental/linalg/linear_operator_psd_kernel.py
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unit: def x1()
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unit: def x2()
file: tensorflow_probability/python/experimental/linalg/linear_operator_psd_kernel.py
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unit: def _add_identity_to_diagonal()
file: tensorflow_probability/python/experimental/parallel_filter/parallel_kalman_filter_lib.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7305
unit: def _cholsolve_vec()
file: tensorflow_probability/python/experimental/parallel_filter/parallel_kalman_filter_lib.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 7306
unit: def _propagate_mean()
file: tensorflow_probability/python/experimental/parallel_filter/parallel_kalman_filter_lib.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 7307
unit: def bijector()
file: tensorflow_probability/python/experimental/bijectors/sharded.py
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McCabe index: 1
number of parameters: 1

id: 7308
unit: def shard_axis_name()
file: tensorflow_probability/python/experimental/bijectors/sharded.py
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McCabe index: 1
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unit: def _forward()
file: tensorflow_probability/python/experimental/bijectors/sharded.py
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id: 7310
unit: def _inverse()
file: tensorflow_probability/python/experimental/bijectors/sharded.py
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McCabe index: 1
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id: 7311
unit: def domain_constraint_fn()
file: tensorflow_probability/python/experimental/bijectors/scalar_function_with_inferred_inverse.py
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McCabe index: 1
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unit: def fn()
file: tensorflow_probability/python/experimental/bijectors/scalar_function_with_inferred_inverse.py
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unit: def max_iterations()
file: tensorflow_probability/python/experimental/bijectors/scalar_function_with_inferred_inverse.py
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unit: def require_convergence()
file: tensorflow_probability/python/experimental/bijectors/scalar_function_with_inferred_inverse.py
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McCabe index: 1
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unit: def root_search_fn()
file: tensorflow_probability/python/experimental/bijectors/scalar_function_with_inferred_inverse.py
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McCabe index: 1
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unit: def bound_fn()
file: tensorflow_probability/python/experimental/bijectors/scalar_function_with_inferred_inverse.py
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McCabe index: 1
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unit: def _forward()
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unit: def bias()
file: tensorflow_probability/python/experimental/bijectors/highway_flow.py
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McCabe index: 1
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id: 7319
unit: def width()
file: tensorflow_probability/python/experimental/bijectors/highway_flow.py
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McCabe index: 1
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id: 7320
unit: def residual_fraction()
file: tensorflow_probability/python/experimental/bijectors/highway_flow.py
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McCabe index: 1
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id: 7321
unit: def upper_diagonal_weights_matrix()
file: tensorflow_probability/python/experimental/bijectors/highway_flow.py
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McCabe index: 1
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id: 7322
unit: def lower_diagonal_weights_matrix()
file: tensorflow_probability/python/experimental/bijectors/highway_flow.py
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McCabe index: 1
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unit: def activation_fn()
file: tensorflow_probability/python/experimental/bijectors/highway_flow.py
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id: 7324
unit: def gate_first_n()
file: tensorflow_probability/python/experimental/bijectors/highway_flow.py
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id: 7325
unit: def num_ungated()
file: tensorflow_probability/python/experimental/bijectors/highway_flow.py
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id: 7326
unit: def _cartesian_product()
file: tensorflow_probability/python/experimental/marginalize/marginalizable.py
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size: 2 LOC
McCabe index: 1
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id: 7327
unit: def _power()
file: tensorflow_probability/python/experimental/marginalize/marginalizable.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 7328
unit: def __getitem__()
file: tensorflow_probability/python/math/psd_kernels/positive_semidefinite_kernel.py
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McCabe index: 1
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id: 7329
unit: def __iter__()
file: tensorflow_probability/python/math/psd_kernels/positive_semidefinite_kernel.py
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McCabe index: 1
number of parameters: 1

id: 7330
unit: def feature_ndims()
file: tensorflow_probability/python/math/psd_kernels/positive_semidefinite_kernel.py
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McCabe index: 1
number of parameters: 1

id: 7331
unit: def dtype()
file: tensorflow_probability/python/math/psd_kernels/positive_semidefinite_kernel.py
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McCabe index: 1
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unit: def name()
file: tensorflow_probability/python/math/psd_kernels/positive_semidefinite_kernel.py
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McCabe index: 1
number of parameters: 1

id: 7333
unit: def validate_args()
file: tensorflow_probability/python/math/psd_kernels/positive_semidefinite_kernel.py
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McCabe index: 1
number of parameters: 1

id: 7334
unit: def __iadd__()
file: tensorflow_probability/python/math/psd_kernels/positive_semidefinite_kernel.py
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McCabe index: 1
number of parameters: 2

id: 7335
unit: def __imul__()
file: tensorflow_probability/python/math/psd_kernels/positive_semidefinite_kernel.py
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McCabe index: 1
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id: 7336
unit: def _parameter_control_dependencies()
file: tensorflow_probability/python/math/psd_kernels/positive_semidefinite_kernel.py
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size: 2 LOC
McCabe index: 1
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id: 7337
unit: def kernels()
file: tensorflow_probability/python/math/psd_kernels/positive_semidefinite_kernel.py
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McCabe index: 1
number of parameters: 1

id: 7338
unit: def _apply()
file: tensorflow_probability/python/math/psd_kernels/positive_semidefinite_kernel.py
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McCabe index: 2
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id: 7339
unit: def _matrix()
file: tensorflow_probability/python/math/psd_kernels/positive_semidefinite_kernel.py
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McCabe index: 2
number of parameters: 3

id: 7340
unit: def kernels()
file: tensorflow_probability/python/math/psd_kernels/positive_semidefinite_kernel.py
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McCabe index: 1
number of parameters: 1

id: 7341
unit: def kernels()
file: tensorflow_probability/python/math/psd_kernels/changepoint.py
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McCabe index: 1
number of parameters: 1

id: 7342
unit: def locs()
file: tensorflow_probability/python/math/psd_kernels/changepoint.py
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McCabe index: 1
number of parameters: 1

id: 7343
unit: def slopes()
file: tensorflow_probability/python/math/psd_kernels/changepoint.py
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McCabe index: 1
number of parameters: 1

id: 7344
unit: def weight_fn()
file: tensorflow_probability/python/math/psd_kernels/changepoint.py
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McCabe index: 1
number of parameters: 1

id: 7345
unit: def _parameter_properties()
file: tensorflow_probability/python/math/psd_kernels/pointwise_exponential.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 7346
unit: def kernel()
file: tensorflow_probability/python/math/psd_kernels/pointwise_exponential.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7347
unit: def scale_diag()
file: tensorflow_probability/python/math/psd_kernels/feature_scaled.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7348
unit: def inverse_scale_diag()
file: tensorflow_probability/python/math/psd_kernels/feature_scaled.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7349
unit: def bias_variance()
file: tensorflow_probability/python/math/psd_kernels/polynomial.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7350
unit: def slope_variance()
file: tensorflow_probability/python/math/psd_kernels/polynomial.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7351
unit: def shift()
file: tensorflow_probability/python/math/psd_kernels/polynomial.py
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McCabe index: 1
number of parameters: 1

id: 7352
unit: def exponent()
file: tensorflow_probability/python/math/psd_kernels/polynomial.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7353
unit: def constant()
file: tensorflow_probability/python/math/psd_kernels/polynomial.py
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size: 2 LOC
McCabe index: 1
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id: 7354
unit: def fixed_inputs()
file: tensorflow_probability/python/math/psd_kernels/schur_complement.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7355
unit: def base_kernel()
file: tensorflow_probability/python/math/psd_kernels/schur_complement.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7356
unit: def diag_shift()
file: tensorflow_probability/python/math/psd_kernels/schur_complement.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7357
unit: def cholesky_fn()
file: tensorflow_probability/python/math/psd_kernels/schur_complement.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7358
unit: def cholesky_bijector()
file: tensorflow_probability/python/math/psd_kernels/schur_complement.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7359
unit: def divisor_matrix()
file: tensorflow_probability/python/math/psd_kernels/schur_complement.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7360
unit: def concentration()
file: tensorflow_probability/python/math/psd_kernels/exponential_curve.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7361
unit: def rate()
file: tensorflow_probability/python/math/psd_kernels/exponential_curve.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7362
unit: def amplitude()
file: tensorflow_probability/python/math/psd_kernels/exponentiated_quadratic.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7363
unit: def length_scale()
file: tensorflow_probability/python/math/psd_kernels/exponentiated_quadratic.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7364
unit: def inverse_length_scale()
file: tensorflow_probability/python/math/psd_kernels/exponentiated_quadratic.py
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McCabe index: 1
number of parameters: 1

id: 7365
unit: def amplitude()
file: tensorflow_probability/python/math/psd_kernels/matern.py
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McCabe index: 1
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id: 7366
unit: def length_scale()
file: tensorflow_probability/python/math/psd_kernels/matern.py
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McCabe index: 1
number of parameters: 1

id: 7367
unit: def inverse_length_scale()
file: tensorflow_probability/python/math/psd_kernels/matern.py
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McCabe index: 1
number of parameters: 1

id: 7368
unit: def df()
file: tensorflow_probability/python/math/psd_kernels/matern.py
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McCabe index: 1
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id: 7369
unit: def kernel()
file: tensorflow_probability/python/math/psd_kernels/hypothesis_testlib.py
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McCabe index: 1
number of parameters: 1

id: 7370
unit: def _batch_shape()
file: tensorflow_probability/python/math/psd_kernels/hypothesis_testlib.py
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McCabe index: 1
number of parameters: 1

id: 7371
unit: def _batch_shape_tensor()
file: tensorflow_probability/python/math/psd_kernels/hypothesis_testlib.py
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McCabe index: 1
number of parameters: 1

id: 7372
unit: def _parameter_properties()
file: tensorflow_probability/python/math/psd_kernels/hypothesis_testlib.py
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McCabe index: 1
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id: 7373
unit: def depths()
file: tensorflow_probability/python/math/psd_kernels/hypothesis_testlib.py
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McCabe index: 1
number of parameters: 0

id: 7374
unit: def constrain_to_range()
file: tensorflow_probability/python/math/psd_kernels/hypothesis_testlib.py
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McCabe index: 1
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id: 7375
unit: def concentration1()
file: tensorflow_probability/python/math/psd_kernels/kumaraswamy_transformed.py
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McCabe index: 1
number of parameters: 1

id: 7376
unit: def concentration0()
file: tensorflow_probability/python/math/psd_kernels/kumaraswamy_transformed.py
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McCabe index: 1
number of parameters: 1

id: 7377
unit: def amplitude()
file: tensorflow_probability/python/math/psd_kernels/rational_quadratic.py
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McCabe index: 1
number of parameters: 1

id: 7378
unit: def length_scale()
file: tensorflow_probability/python/math/psd_kernels/rational_quadratic.py
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McCabe index: 1
number of parameters: 1

id: 7379
unit: def inverse_length_scale()
file: tensorflow_probability/python/math/psd_kernels/rational_quadratic.py
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McCabe index: 1
number of parameters: 1

id: 7380
unit: def scale_mixture_rate()
file: tensorflow_probability/python/math/psd_kernels/rational_quadratic.py
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McCabe index: 1
number of parameters: 1

id: 7381
unit: def amplitude()
file: tensorflow_probability/python/math/psd_kernels/parabolic.py
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McCabe index: 1
number of parameters: 1

id: 7382
unit: def length_scale()
file: tensorflow_probability/python/math/psd_kernels/parabolic.py
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McCabe index: 1
number of parameters: 1

id: 7383
unit: def amplitude()
file: tensorflow_probability/python/math/psd_kernels/exp_sin_squared.py
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McCabe index: 1
number of parameters: 1

id: 7384
unit: def length_scale()
file: tensorflow_probability/python/math/psd_kernels/exp_sin_squared.py
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McCabe index: 1
number of parameters: 1

id: 7385
unit: def period()
file: tensorflow_probability/python/math/psd_kernels/exp_sin_squared.py
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McCabe index: 1
number of parameters: 1

id: 7386
unit: def kernel()
file: tensorflow_probability/python/math/psd_kernels/feature_transformed.py
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McCabe index: 1
number of parameters: 1

id: 7387
unit: def transformation_fn()
file: tensorflow_probability/python/math/psd_kernels/feature_transformed.py
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McCabe index: 1
number of parameters: 1

id: 7388
unit: def _bessel_iv_ratio_custom_gradient()
file: tensorflow_probability/python/math/bessel.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 7389
unit: def _bessel_ive_naive()
file: tensorflow_probability/python/math/bessel.py
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McCabe index: 1
number of parameters: 2

id: 7390
unit: def _bessel_ive_custom_gradient()
file: tensorflow_probability/python/math/bessel.py
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McCabe index: 1
number of parameters: 2

id: 7391
unit: def _bessel_kve_naive()
file: tensorflow_probability/python/math/bessel.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 7392
unit: def _bessel_kve_custom_gradient()
file: tensorflow_probability/python/math/bessel.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 7393
unit: def _log_bessel_ive_naive()
file: tensorflow_probability/python/math/bessel.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 7394
unit: def _log_bessel_ive_custom_gradient()
file: tensorflow_probability/python/math/bessel.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 7395
unit: def _log_bessel_kve_naive()
file: tensorflow_probability/python/math/bessel.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 7396
unit: def _log_bessel_kve_custom_gradient()
file: tensorflow_probability/python/math/bessel.py
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McCabe index: 1
number of parameters: 2

id: 7397
unit: def _dawsn_custom_gradient()
file: tensorflow_probability/python/math/special.py
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McCabe index: 1
number of parameters: 1

id: 7398
unit: def _erfcx_custom_gradient()
file: tensorflow_probability/python/math/special.py
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McCabe index: 1
number of parameters: 1

id: 7399
unit: def _didonato_eq_twenty_three()
file: tensorflow_probability/python/math/special.py
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McCabe index: 1
number of parameters: 3

id: 7400
unit: def _igammainv_custom_gradient()
file: tensorflow_probability/python/math/special.py
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McCabe index: 1
number of parameters: 2

id: 7401
unit: def _igammacinv_custom_gradient()
file: tensorflow_probability/python/math/special.py
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McCabe index: 1
number of parameters: 2

id: 7402
unit: def _lambert_custom_gradient()
file: tensorflow_probability/python/math/special.py
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McCabe index: 1
number of parameters: 1

id: 7403
unit: def _log_gamma_difference_fwd()
file: tensorflow_probability/python/math/special.py
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McCabe index: 1
number of parameters: 2

id: 7404
unit: def _log_gamma_difference_custom_gradient()
file: tensorflow_probability/python/math/special.py
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McCabe index: 1
number of parameters: 2

id: 7405
unit: def _lbeta_fwd()
file: tensorflow_probability/python/math/special.py
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McCabe index: 1
number of parameters: 2

id: 7406
unit: def _lbeta_custom_gradient()
file: tensorflow_probability/python/math/special.py
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McCabe index: 1
number of parameters: 2

id: 7407
unit: def _owens_t_fwd()
file: tensorflow_probability/python/math/special.py
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McCabe index: 1
number of parameters: 2

id: 7408
unit: def _owens_t_custom_gradient()
file: tensorflow_probability/python/math/special.py
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McCabe index: 1
number of parameters: 2

id: 7409
unit: def name()
file: tensorflow_probability/python/math/ode/base.py
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McCabe index: 1
number of parameters: 1

id: 7410
unit: def gradient_helper()
file: tensorflow_probability/python/math/ode/base.py
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McCabe index: 1
number of parameters: 2

id: 7411
unit: def num_ode_fn_evaluations()
file: tensorflow_probability/python/math/ode/base.py
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McCabe index: 1
number of parameters: 1

id: 7412
unit: def num_jacobian_evaluations()
file: tensorflow_probability/python/math/ode/base.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7413
unit: def num_matrix_factorizations()
file: tensorflow_probability/python/math/ode/base.py
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McCabe index: 1
number of parameters: 1

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unit: def _eigvals()
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unit: def multiplier()
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unit: def _composite_tensor_prefer_static_fields()
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unit: def _adjoint_adjoint_linear_operator()
file: tensorflow_probability/python/internal/backend/numpy/gen/adjoint_registrations.py
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unit: def _adjoint_identity()
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id: 7537
unit: def _adjoint_householder()
file: tensorflow_probability/python/internal/backend/numpy/gen/adjoint_registrations.py
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id: 7538
unit: def _inverse_inverse_linear_operator()
file: tensorflow_probability/python/internal/backend/numpy/gen/inverse_registrations.py
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unit: def _inverse_identity()
file: tensorflow_probability/python/internal/backend/numpy/gen/inverse_registrations.py
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unit: def _inverse_householder()
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unit: def _solve_inverse_linear_operator()
file: tensorflow_probability/python/internal/backend/numpy/gen/solve_registrations.py
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McCabe index: 1
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unit: def _registered_adjoint()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator_algebra.py
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unit: def _registered_matmul()
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unit: def _registered_solve()
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unit: def _registered_inverse()
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unit: def operators()
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unit: def _composite_tensor_fields()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator_kronecker.py
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unit: def _assert_non_singular()
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id: 7555
unit: def _assert_self_adjoint()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator_householder.py
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unit: def _determinant()
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id: 7557
unit: def _log_abs_determinant()
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unit: def _solve()
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McCabe index: 1
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unit: def _cond()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator_householder.py
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id: 7560
unit: def reflection_axis()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator_householder.py
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unit: def _composite_tensor_fields()
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unit: def parameters()
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unit: def dtype()
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unit: def name()
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unit: def graph_parents()
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id: 7566
unit: def is_non_singular()
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id: 7567
unit: def is_self_adjoint()
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unit: def is_positive_definite()
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unit: def _shape()
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unit: def shape()
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unit: def _shape_tensor()
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id: 7572
unit: def batch_shape()
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id: 7573
unit: def _matmul()
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id: 7574
unit: def __matmul__()
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id: 7575
unit: def _diag_part()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator.py
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unit: def _trace()
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id: 7577
unit: def _add_to_tensor()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator.py
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id: 7578
unit: def _eigvals()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator.py
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id: 7579
unit: def _can_use_cholesky()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator.py
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McCabe index: 2
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id: 7580
unit: def _composite_tensor_fields()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator.py
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McCabe index: 1
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unit: def _composite_tensor_prefer_static_fields()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator.py
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McCabe index: 1
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id: 7582
unit: def _type_spec()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator.py
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McCabe index: 2
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id: 7583
unit: def _to_components()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator.py
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McCabe index: 1
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id: 7584
unit: def _component_specs()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator.py
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McCabe index: 1
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unit: def _adjoint()
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McCabe index: 1
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id: 7586
unit: def _cholesky()
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McCabe index: 1
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unit: def _det()
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unit: def _trace()
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unit: def name()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator_addition.py
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id: 7590
unit: def can_add()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator_addition.py
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McCabe index: 1
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id: 7591
unit: def _add()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator_addition.py
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McCabe index: 3
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id: 7592
unit: def _shape()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator_full_matrix.py
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unit: def _shape_tensor()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator_full_matrix.py
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unit: def _solve()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator_full_matrix.py
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unit: def _to_dense()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator_full_matrix.py
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unit: def _composite_tensor_fields()
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id: 7597
unit: def u()
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unit: def v()
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unit: def is_diag_update_positive()
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unit: def diag_update()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator_low_rank_update.py
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unit: def diag_operator()
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id: 7604
unit: def block_depth()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator_circulant.py
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unit: def block_shape_tensor()
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unit: def _eigvals()
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unit: def operators()
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McCabe index: 1
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unit: def _block_range_dimensions()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator_block_lower_triangular.py
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unit: def _block_domain_dimensions()
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McCabe index: 2
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unit: def _block_range_dimension_tensors()
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unit: def _block_domain_dimension_tensors()
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unit: def _composite_tensor_fields()
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unit: def operators()
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McCabe index: 1
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unit: def _block_range_dimensions()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator_block_diag.py
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unit: def _block_domain_dimensions()
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unit: def _block_range_dimension_tensors()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator_block_diag.py
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unit: def _block_domain_dimension_tensors()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator_block_diag.py
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McCabe index: 2
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unit: def _composite_tensor_fields()
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McCabe index: 1
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unit: def diag()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator_diag.py
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McCabe index: 1
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unit: def _determinant()
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McCabe index: 1
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unit: def _to_dense()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator_diag.py
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McCabe index: 1
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unit: def _diag_part()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator_diag.py
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McCabe index: 1
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unit: def _eigvals()
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McCabe index: 1
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unit: def _composite_tensor_fields()
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McCabe index: 1
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unit: def _assert_self_adjoint()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator_zeros.py
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McCabe index: 1
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unit: def _diag_part()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator_zeros.py
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McCabe index: 1
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unit: def add_to_tensor()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator_zeros.py
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McCabe index: 1
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unit: def _min_matrix_dim_tensor()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator_zeros.py
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McCabe index: 1
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unit: def _eigvals()
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McCabe index: 1
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unit: def _composite_tensor_prefer_static_fields()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator_zeros.py
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McCabe index: 1
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unit: def operator()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator_adjoint.py
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McCabe index: 1
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unit: def _assert_non_singular()
file: tensorflow_probability/python/internal/backend/numpy/gen/linear_operator_adjoint.py
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McCabe index: 1
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7866
unit: def inner_kernel()
file: tensorflow_probability/python/mcmc/transformed_kernel.py
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size: 2 LOC
McCabe index: 1
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id: 7867
unit: def bijector()
file: tensorflow_probability/python/mcmc/transformed_kernel.py
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size: 2 LOC
McCabe index: 1
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id: 7868
unit: def name()
file: tensorflow_probability/python/mcmc/transformed_kernel.py
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McCabe index: 1
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id: 7869
unit: def parameters()
file: tensorflow_probability/python/mcmc/transformed_kernel.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7870
unit: def is_calibrated()
file: tensorflow_probability/python/mcmc/transformed_kernel.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7871
unit: def experimental_shard_axis_names()
file: tensorflow_probability/python/mcmc/transformed_kernel.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7872
unit: def target_log_prob_fn()
file: tensorflow_probability/python/mcmc/nuts.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7873
unit: def step_size()
file: tensorflow_probability/python/mcmc/nuts.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7874
unit: def max_tree_depth()
file: tensorflow_probability/python/mcmc/nuts.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7875
unit: def max_energy_diff()
file: tensorflow_probability/python/mcmc/nuts.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7876
unit: def unrolled_leapfrog_steps()
file: tensorflow_probability/python/mcmc/nuts.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7877
unit: def name()
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id: 7878
unit: def parallel_iterations()
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McCabe index: 1
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id: 7879
unit: def write_instruction()
file: tensorflow_probability/python/mcmc/nuts.py
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McCabe index: 1
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id: 7880
unit: def read_instruction()
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size: 2 LOC
McCabe index: 1
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id: 7881
unit: def parameters()
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id: 7882
unit: def is_calibrated()
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id: 7883
unit: def experimental_shard_axis_names()
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7884
unit: def experimental_with_shard_axes()
file: tensorflow_probability/python/mcmc/nuts.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 7885
unit: def hmc_like_step_size_setter_fn()
file: tensorflow_probability/python/mcmc/simple_step_size_adaptation.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 7886
unit: def hmc_like_step_size_getter_fn()
file: tensorflow_probability/python/mcmc/simple_step_size_adaptation.py
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McCabe index: 1
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unit: def inner_kernel()
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McCabe index: 1
number of parameters: 1

id: 7888
unit: def name()
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7889
unit: def num_adaptation_steps()
file: tensorflow_probability/python/mcmc/simple_step_size_adaptation.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7890
unit: def step_size_getter_fn()
file: tensorflow_probability/python/mcmc/simple_step_size_adaptation.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 7891
unit: def log_accept_prob_getter_fn()
file: tensorflow_probability/python/mcmc/simple_step_size_adaptation.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 7892
unit: def parameters()
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McCabe index: 1
number of parameters: 1

id: 7893
unit: def is_calibrated()
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number of parameters: 1

id: 7894
unit: def experimental_shard_axis_names()
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7895
unit: def experimental_reduce_chain_axis_names()
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7896
unit: def inner_kernel()
file: tensorflow_probability/python/mcmc/dual_averaging_step_size_adaptation.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7897
unit: def name()
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7898
unit: def num_adaptation_steps()
file: tensorflow_probability/python/mcmc/dual_averaging_step_size_adaptation.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7899
unit: def step_size_getter_fn()
file: tensorflow_probability/python/mcmc/dual_averaging_step_size_adaptation.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 7900
unit: def log_accept_prob_getter_fn()
file: tensorflow_probability/python/mcmc/dual_averaging_step_size_adaptation.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 7901
unit: def parameters()
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7902
unit: def is_calibrated()
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7903
unit: def experimental_shard_axis_names()
file: tensorflow_probability/python/mcmc/dual_averaging_step_size_adaptation.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7904
unit: def experimental_reduce_chain_axis_names()
file: tensorflow_probability/python/mcmc/dual_averaging_step_size_adaptation.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7905
unit: def target_log_prob_fn()
file: tensorflow_probability/python/mcmc/langevin.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7906
unit: def volatility_fn()
file: tensorflow_probability/python/mcmc/langevin.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7907
unit: def step_size()
file: tensorflow_probability/python/mcmc/langevin.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7908
unit: def parallel_iterations()
file: tensorflow_probability/python/mcmc/langevin.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7909
unit: def name()
file: tensorflow_probability/python/mcmc/langevin.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7910
unit: def parameters()
file: tensorflow_probability/python/mcmc/langevin.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7911
unit: def is_calibrated()
file: tensorflow_probability/python/mcmc/langevin.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7912
unit: def bootstrap_results()
file: tensorflow_probability/python/mcmc/langevin.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 7913
unit: def experimental_shard_axis_names()
file: tensorflow_probability/python/mcmc/langevin.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7914
unit: def experimental_with_shard_axes()
file: tensorflow_probability/python/mcmc/langevin.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 7915
unit: def target_log_prob_fn()
file: tensorflow_probability/python/mcmc/langevin.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7916
unit: def step_size()
file: tensorflow_probability/python/mcmc/langevin.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7917
unit: def volatility_fn()
file: tensorflow_probability/python/mcmc/langevin.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7918
unit: def compute_acceptance()
file: tensorflow_probability/python/mcmc/langevin.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7919
unit: def parallel_iterations()
file: tensorflow_probability/python/mcmc/langevin.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7920
unit: def name()
file: tensorflow_probability/python/mcmc/langevin.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7921
unit: def parameters()
file: tensorflow_probability/python/mcmc/langevin.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7922
unit: def is_calibrated()
file: tensorflow_probability/python/mcmc/langevin.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7923
unit: def experimental_shard_axis_names()
file: tensorflow_probability/python/mcmc/langevin.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7924
unit: def experimental_with_shard_axes()
file: tensorflow_probability/python/mcmc/langevin.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 7925
unit: def __init__()
file: tensorflow_probability/python/mcmc/eight_schools_hmc.py
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end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 7926
unit: def level_scale()
file: tensorflow_probability/python/sts/components/local_level.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7927
unit: def observation_noise_scale()
file: tensorflow_probability/python/sts/components/local_level.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7928
unit: def initial_state_prior()
file: tensorflow_probability/python/sts/components/local_level.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7929
unit: def level_scale()
file: tensorflow_probability/python/sts/components/local_linear_trend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7930
unit: def slope_scale()
file: tensorflow_probability/python/sts/components/local_linear_trend.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7931
unit: def observation_noise_scale()
file: tensorflow_probability/python/sts/components/local_linear_trend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7932
unit: def initial_state_prior()
file: tensorflow_probability/python/sts/components/local_linear_trend.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7933
unit: def drift_scale()
file: tensorflow_probability/python/sts/components/smooth_seasonal.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7934
unit: def observation_noise_scale()
file: tensorflow_probability/python/sts/components/smooth_seasonal.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7935
unit: def period()
file: tensorflow_probability/python/sts/components/smooth_seasonal.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7936
unit: def frequency_multipliers()
file: tensorflow_probability/python/sts/components/smooth_seasonal.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7937
unit: def allow_drift()
file: tensorflow_probability/python/sts/components/smooth_seasonal.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7938
unit: def period()
file: tensorflow_probability/python/sts/components/smooth_seasonal.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7939
unit: def frequency_multipliers()
file: tensorflow_probability/python/sts/components/smooth_seasonal.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7940
unit: def initial_state_prior()
file: tensorflow_probability/python/sts/components/smooth_seasonal.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7941
unit: def design_matrix()
file: tensorflow_probability/python/sts/components/regression.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7942
unit: def design_matrix()
file: tensorflow_probability/python/sts/components/regression.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7943
unit: def weights_prior_scale()
file: tensorflow_probability/python/sts/components/regression.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7944
unit: def drift_scale()
file: tensorflow_probability/python/sts/components/dynamic_regression.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7945
unit: def observation_noise_scale()
file: tensorflow_probability/python/sts/components/dynamic_regression.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7946
unit: def initial_state_prior()
file: tensorflow_probability/python/sts/components/dynamic_regression.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7947
unit: def design_matrix()
file: tensorflow_probability/python/sts/components/dynamic_regression.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7948
unit: def order()
file: tensorflow_probability/python/sts/components/autoregressive.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7949
unit: def coefficients()
file: tensorflow_probability/python/sts/components/autoregressive.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7950
unit: def level_scale()
file: tensorflow_probability/python/sts/components/autoregressive.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7951
unit: def initial_state_prior()
file: tensorflow_probability/python/sts/components/autoregressive.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7952
unit: def level_scale()
file: tensorflow_probability/python/sts/components/semilocal_linear_trend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7953
unit: def slope_mean()
file: tensorflow_probability/python/sts/components/semilocal_linear_trend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7954
unit: def slope_scale()
file: tensorflow_probability/python/sts/components/semilocal_linear_trend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7955
unit: def autoregressive_coef()
file: tensorflow_probability/python/sts/components/semilocal_linear_trend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7956
unit: def observation_noise_scale()
file: tensorflow_probability/python/sts/components/semilocal_linear_trend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7957
unit: def initial_state_prior()
file: tensorflow_probability/python/sts/components/semilocal_linear_trend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7958
unit: def components()
file: tensorflow_probability/python/sts/components/sum.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7959
unit: def components_by_name()
file: tensorflow_probability/python/sts/components/sum.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7960
unit: def constant_offset()
file: tensorflow_probability/python/sts/components/sum.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7961
unit: def original_ssm()
file: tensorflow_probability/python/sts/components/autoregressive_integrated_moving_average.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7962
unit: def initial_state_prior()
file: tensorflow_probability/python/sts/components/autoregressive_integrated_moving_average.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7963
unit: def integration_degree()
file: tensorflow_probability/python/sts/components/autoregressive_integrated_moving_average.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7964
unit: def order()
file: tensorflow_probability/python/sts/components/autoregressive_moving_average.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7965
unit: def ar_coefficients()
file: tensorflow_probability/python/sts/components/autoregressive_moving_average.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7966
unit: def ma_coefficients()
file: tensorflow_probability/python/sts/components/autoregressive_moving_average.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7967
unit: def level_drift()
file: tensorflow_probability/python/sts/components/autoregressive_moving_average.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7968
unit: def level_scale()
file: tensorflow_probability/python/sts/components/autoregressive_moving_average.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7969
unit: def observation_noise_scale()
file: tensorflow_probability/python/sts/components/autoregressive_moving_average.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7970
unit: def drift_scale()
file: tensorflow_probability/python/sts/components/seasonal.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7971
unit: def observation_noise_scale()
file: tensorflow_probability/python/sts/components/seasonal.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7972
unit: def num_seasons()
file: tensorflow_probability/python/sts/components/seasonal.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7973
unit: def num_steps_per_season()
file: tensorflow_probability/python/sts/components/seasonal.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7974
unit: def drift_scale()
file: tensorflow_probability/python/sts/components/seasonal.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7975
unit: def observation_noise_scale()
file: tensorflow_probability/python/sts/components/seasonal.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7976
unit: def num_seasons()
file: tensorflow_probability/python/sts/components/seasonal.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7977
unit: def num_steps_per_season()
file: tensorflow_probability/python/sts/components/seasonal.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7978
unit: def allow_drift()
file: tensorflow_probability/python/sts/components/seasonal.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7979
unit: def constrain_mean_effect_to_zero()
file: tensorflow_probability/python/sts/components/seasonal.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

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unit: def block_sizes()
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unit: def inverse_block_sizes()
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file: tensorflow_probability/python/bijectors/softsign.py
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id: 8020
unit: def _parameter_properties()
file: tensorflow_probability/python/bijectors/softsign.py
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id: 8021
unit: def _forward_log_det_jacobian()
file: tensorflow_probability/python/bijectors/softsign.py
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id: 8022
unit: def _is_increasing()
file: tensorflow_probability/python/bijectors/generalized_pareto.py
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unit: def loc()
file: tensorflow_probability/python/bijectors/generalized_pareto.py
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unit: def scale()
file: tensorflow_probability/python/bijectors/generalized_pareto.py
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id: 8025
unit: def concentration()
file: tensorflow_probability/python/bijectors/generalized_pareto.py
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id: 8026
unit: def lower_upper()
file: tensorflow_probability/python/bijectors/scale_matvec_lu.py
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id: 8027
unit: def permutation()
file: tensorflow_probability/python/bijectors/scale_matvec_lu.py
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id: 8028
unit: def __getitem__()
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id: 8029
unit: def _is_increasing()
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id: 8030
unit: def _parameter_properties()
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id: 8031
unit: def _is_permutation()
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unit: def _forward()
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id: 8033
unit: def _inverse()
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id: 8034
unit: def _inverse_log_det_jacobian()
file: tensorflow_probability/python/bijectors/identity.py
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id: 8035
unit: def _forward_log_det_jacobian()
file: tensorflow_probability/python/bijectors/identity.py
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id: 8036
unit: def low()
file: tensorflow_probability/python/bijectors/soft_clip.py
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id: 8037
unit: def high()
file: tensorflow_probability/python/bijectors/soft_clip.py
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McCabe index: 1
number of parameters: 1

id: 8038
unit: def hinge_softness()
file: tensorflow_probability/python/bijectors/soft_clip.py
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number of parameters: 1

id: 8039
unit: def _is_increasing()
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id: 8040
unit: def _forward()
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id: 8041
unit: def _forward_log_det_jacobian()
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id: 8042
unit: def _is_increasing()
file: tensorflow_probability/python/bijectors/softplus.py
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id: 8043
unit: def hinge_softness()
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id: 8044
unit: def low()
file: tensorflow_probability/python/bijectors/softplus.py
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id: 8045
unit: def perm()
file: tensorflow_probability/python/bijectors/transpose.py
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id: 8046
unit: def rightmost_transposed_ndims()
file: tensorflow_probability/python/bijectors/transpose.py
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id: 8047
unit: def _is_permutation()
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id: 8048
unit: def _forward()
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id: 8049
unit: def _inverse()
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id: 8050
unit: def _inverse_log_det_jacobian()
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id: 8052
unit: def _parameter_properties()
file: tensorflow_probability/python/bijectors/inline.py
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id: 8053
unit: def assert_strictly_increasing()
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McCabe index: 1
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id: 8054
unit: def assert_strictly_decreasing()
file: tensorflow_probability/python/bijectors/bijector_test_util.py
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id: 8055
unit: def permutation()
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id: 8056
unit: def axis()
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id: 8057
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id: 8058
unit: def _inverse_log_det_jacobian()
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id: 8059
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id: 8060
unit: def scale()
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id: 8061
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id: 8062
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id: 8064
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id: 8065
unit: def _forward_log_det_jacobian()
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id: 8066
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file: tensorflow_probability/python/bijectors/invert.py
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id: 8067
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file: tensorflow_probability/python/bijectors/invert.py
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id: 8068
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id: 8069
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id: 8070
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id: 8071
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id: 8073
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id: 8075
unit: def inverse()
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id: 8076
unit: def inverse_log_det_jacobian()
file: tensorflow_probability/python/bijectors/invert.py
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size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 8077
unit: def forward_log_det_jacobian()
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id: 8078
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file: tensorflow_probability/python/bijectors/invert.py
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McCabe index: 1
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id: 8079
unit: def inverse_dtype()
file: tensorflow_probability/python/bijectors/invert.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8080
unit: def inverse_event_ndims()
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8081
unit: def forward_event_ndims()
file: tensorflow_probability/python/bijectors/invert.py
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size: 2 LOC
McCabe index: 1
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id: 8082
unit: def _is_increasing()
file: tensorflow_probability/python/bijectors/expm1.py
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McCabe index: 1
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unit: def _parameter_properties()
file: tensorflow_probability/python/bijectors/expm1.py
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McCabe index: 1
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id: 8084
unit: def _forward()
file: tensorflow_probability/python/bijectors/expm1.py
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McCabe index: 1
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id: 8085
unit: def _inverse()
file: tensorflow_probability/python/bijectors/expm1.py
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McCabe index: 1
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id: 8086
unit: def _inverse_log_det_jacobian()
file: tensorflow_probability/python/bijectors/expm1.py
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McCabe index: 1
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id: 8087
unit: def _forward_log_det_jacobian()
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McCabe index: 1
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id: 8088
unit: def shift()
file: tensorflow_probability/python/bijectors/shift.py
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McCabe index: 1
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id: 8089
unit: def _is_increasing()
file: tensorflow_probability/python/bijectors/shift.py
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McCabe index: 1
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id: 8090
unit: def _forward()
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McCabe index: 1
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id: 8091
unit: def _inverse()
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McCabe index: 1
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id: 8092
unit: def _forward_log_det_jacobian()
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McCabe index: 3
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id: 8093
unit: def _parameter_properties()
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McCabe index: 1
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id: 8094
unit: def _parameter_properties()
file: tensorflow_probability/python/bijectors/softmax_centered.py
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McCabe index: 1
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id: 8095
unit: def _forward_event_shape()
file: tensorflow_probability/python/bijectors/softmax_centered.py
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McCabe index: 1
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id: 8096
unit: def _forward_event_shape_tensor()
file: tensorflow_probability/python/bijectors/softmax_centered.py
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McCabe index: 1
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unit: def _inverse_event_shape()
file: tensorflow_probability/python/bijectors/softmax_centered.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8098
unit: def _inverse_event_shape_tensor()
file: tensorflow_probability/python/bijectors/softmax_centered.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8099
unit: def _forward()
file: tensorflow_probability/python/bijectors/softmax_centered.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8100
unit: def _is_permutation()
file: tensorflow_probability/python/bijectors/restructure.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8101
unit: def _parts_interact()
file: tensorflow_probability/python/bijectors/restructure.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8102
unit: def forward_event_shape()
file: tensorflow_probability/python/bijectors/restructure.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8103
unit: def inverse_event_shape()
file: tensorflow_probability/python/bijectors/restructure.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8104
unit: def forward_event_shape_tensor()
file: tensorflow_probability/python/bijectors/restructure.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8105
unit: def inverse_event_shape_tensor()
file: tensorflow_probability/python/bijectors/restructure.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8106
unit: def forward_event_ndims()
file: tensorflow_probability/python/bijectors/restructure.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8107
unit: def inverse_event_ndims()
file: tensorflow_probability/python/bijectors/restructure.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8108
unit: def tree_flatten()
file: tensorflow_probability/python/bijectors/restructure.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8109
unit: def _parameter_properties()
file: tensorflow_probability/python/bijectors/transform_diagonal.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8110
unit: def diag_bijector()
file: tensorflow_probability/python/bijectors/transform_diagonal.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8111
unit: def _is_odd_integer()
file: tensorflow_probability/python/bijectors/power.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8112
unit: def _parameter_properties()
file: tensorflow_probability/python/bijectors/power.py
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size: 2 LOC
McCabe index: 1
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id: 8113
unit: def power()
file: tensorflow_probability/python/bijectors/power.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8114
unit: def _is_increasing()
file: tensorflow_probability/python/bijectors/power.py
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size: 2 LOC
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id: 8115
unit: def _parameter_properties()
file: tensorflow_probability/python/bijectors/ordered.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8116
unit: def _inverse_log_det_jacobian()
file: tensorflow_probability/python/bijectors/ordered.py
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size: 2 LOC
McCabe index: 5
number of parameters: 2

id: 8117
unit: def loc()
file: tensorflow_probability/python/bijectors/frechet_cdf.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8118
unit: def scale()
file: tensorflow_probability/python/bijectors/frechet_cdf.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8119
unit: def concentration()
file: tensorflow_probability/python/bijectors/frechet_cdf.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8120
unit: def _is_increasing()
file: tensorflow_probability/python/bijectors/frechet_cdf.py
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size: 2 LOC
McCabe index: 1
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id: 8121
unit: def _parameter_properties()
file: tensorflow_probability/python/bijectors/cholesky_to_inv_cholesky.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8122
unit: def _is_increasing()
file: tensorflow_probability/python/bijectors/lambertw_transform.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8123
unit: def _forward()
file: tensorflow_probability/python/bijectors/lambertw_transform.py
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size: 2 LOC
McCabe index: 1
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id: 8124
unit: def _inverse()
file: tensorflow_probability/python/bijectors/lambertw_transform.py
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McCabe index: 1
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id: 8125
unit: def _parameter_properties()
file: tensorflow_probability/python/bijectors/batch_normalization.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8126
unit: def _normalize()
file: tensorflow_probability/python/bijectors/batch_normalization.py
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size: 2 LOC
McCabe index: 1
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id: 8127
unit: def _forward()
file: tensorflow_probability/python/bijectors/batch_normalization.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8128
unit: def _inverse()
file: tensorflow_probability/python/bijectors/batch_normalization.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8129
unit: def _forward_log_det_jacobian()
file: tensorflow_probability/python/bijectors/batch_normalization.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8130
unit: def _is_increasing()
file: tensorflow_probability/python/bijectors/sinh.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8131
unit: def _parameter_properties()
file: tensorflow_probability/python/bijectors/sinh.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8132
unit: def _forward()
file: tensorflow_probability/python/bijectors/sinh.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8133
unit: def _inverse()
file: tensorflow_probability/python/bijectors/sinh.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8134
unit: def _forward_log_det_jacobian()
file: tensorflow_probability/python/bijectors/sinh.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8135
unit: def concentration1()
file: tensorflow_probability/python/bijectors/kumaraswamy_cdf.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8136
unit: def concentration0()
file: tensorflow_probability/python/bijectors/kumaraswamy_cdf.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8137
unit: def _is_increasing()
file: tensorflow_probability/python/bijectors/kumaraswamy_cdf.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8138
unit: def _is_increasing()
file: tensorflow_probability/python/bijectors/normal_cdf.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8139
unit: def _parameter_properties()
file: tensorflow_probability/python/bijectors/normal_cdf.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8140
unit: def _forward()
file: tensorflow_probability/python/bijectors/normal_cdf.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8141
unit: def _forward_log_det_jacobian()
file: tensorflow_probability/python/bijectors/normal_cdf.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8142
unit: def reflection_axis()
file: tensorflow_probability/python/bijectors/householder.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8143
unit: def _inverse()
file: tensorflow_probability/python/bijectors/householder.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8144
unit: def _forward_log_det_jacobian()
file: tensorflow_probability/python/bijectors/householder.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8145
unit: def paddings()
file: tensorflow_probability/python/bijectors/pad.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8146
unit: def mode()
file: tensorflow_probability/python/bijectors/pad.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8147
unit: def constant_values()
file: tensorflow_probability/python/bijectors/pad.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8148
unit: def axis()
file: tensorflow_probability/python/bijectors/pad.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8149
unit: def _inverse_log_det_jacobian()
file: tensorflow_probability/python/bijectors/pad.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8150
unit: def _forward_log_det_jacobian()
file: tensorflow_probability/python/bijectors/pad.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8151
unit: def _is_increasing()
file: tensorflow_probability/python/bijectors/square.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8152
unit: def _parameter_properties()
file: tensorflow_probability/python/bijectors/square.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8153
unit: def _parameter_properties()
file: tensorflow_probability/python/bijectors/discrete_cosine_transform.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8154
unit: def _inverse_log_det_jacobian()
file: tensorflow_probability/python/bijectors/discrete_cosine_transform.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8155
unit: def _forward_log_det_jacobian()
file: tensorflow_probability/python/bijectors/discrete_cosine_transform.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8156
unit: def _knot_positions()
file: tensorflow_probability/python/bijectors/rational_quadratic_spline.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8157
unit: def bin_widths()
file: tensorflow_probability/python/bijectors/rational_quadratic_spline.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8158
unit: def bin_heights()
file: tensorflow_probability/python/bijectors/rational_quadratic_spline.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8159
unit: def knot_slopes()
file: tensorflow_probability/python/bijectors/rational_quadratic_spline.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8160
unit: def range_min()
file: tensorflow_probability/python/bijectors/rational_quadratic_spline.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8161
unit: def _is_increasing()
file: tensorflow_probability/python/bijectors/rational_quadratic_spline.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8162
unit: def _parameter_properties()
file: tensorflow_probability/python/bijectors/masked_autoregressive.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8163
unit: def compute_output_shape()
file: tensorflow_probability/python/bijectors/masked_autoregressive.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8164
unit: def event_shape()
file: tensorflow_probability/python/bijectors/masked_autoregressive.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8165
unit: def params()
file: tensorflow_probability/python/bijectors/masked_autoregressive.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8166
unit: def _parameter_properties()
file: tensorflow_probability/python/bijectors/power_transform.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8167
unit: def power()
file: tensorflow_probability/python/bijectors/power_transform.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8168
unit: def _is_increasing()
file: tensorflow_probability/python/bijectors/power_transform.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8169
unit: def _is_increasing()
file: tensorflow_probability/python/bijectors/sigmoid.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8170
unit: def low()
file: tensorflow_probability/python/bijectors/sigmoid.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8171
unit: def high()
file: tensorflow_probability/python/bijectors/sigmoid.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8172
unit: def scale()
file: tensorflow_probability/python/bijectors/scale.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8173
unit: def log_scale()
file: tensorflow_probability/python/bijectors/scale.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8174
unit: def num_splits()
file: tensorflow_probability/python/bijectors/split.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8175
unit: def split_sizes()
file: tensorflow_probability/python/bijectors/split.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8176
unit: def axis()
file: tensorflow_probability/python/bijectors/split.py
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McCabe index: 1
number of parameters: 1

id: 8177
unit: def _is_permutation()
file: tensorflow_probability/python/bijectors/split.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8178
unit: def _forward_log_det_jacobian()
file: tensorflow_probability/python/bijectors/split.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8179
unit: def _inverse_log_det_jacobian()
file: tensorflow_probability/python/bijectors/split.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8180
unit: def _forward_dtype()
file: tensorflow_probability/python/bijectors/split.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8181
unit: def _is_increasing()
file: tensorflow_probability/python/bijectors/tanh.py
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McCabe index: 1
number of parameters: 1

id: 8182
unit: def _parameter_properties()
file: tensorflow_probability/python/bijectors/tanh.py
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McCabe index: 1
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id: 8183
unit: def _forward()
file: tensorflow_probability/python/bijectors/tanh.py
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McCabe index: 1
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id: 8184
unit: def _inverse()
file: tensorflow_probability/python/bijectors/tanh.py
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McCabe index: 1
number of parameters: 2

id: 8185
unit: def _forward_log_det_jacobian()
file: tensorflow_probability/python/bijectors/tanh.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8186
unit: def _is_permutation()
file: tensorflow_probability/python/bijectors/reshape.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8187
unit: def _inverse_log_det_jacobian()
file: tensorflow_probability/python/bijectors/reshape.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8188
unit: def _forward_log_det_jacobian()
file: tensorflow_probability/python/bijectors/reshape.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8189
unit: def loc()
file: tensorflow_probability/python/bijectors/gev_cdf.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8190
unit: def scale()
file: tensorflow_probability/python/bijectors/gev_cdf.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8191
unit: def concentration()
file: tensorflow_probability/python/bijectors/gev_cdf.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8192
unit: def _is_increasing()
file: tensorflow_probability/python/bijectors/gev_cdf.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8193
unit: def _parameter_properties()
file: tensorflow_probability/python/bijectors/iterated_sigmoid_centered.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8194
unit: def _forward_event_shape_tensor()
file: tensorflow_probability/python/bijectors/iterated_sigmoid_centered.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8195
unit: def invert()
file: tensorflow_probability/python/bijectors/hypothesis_testlib.py
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McCabe index: 1
number of parameters: 1

id: 8196
unit: def loc()
file: tensorflow_probability/python/bijectors/moyal_cdf.py
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McCabe index: 1
number of parameters: 1

id: 8197
unit: def scale()
file: tensorflow_probability/python/bijectors/moyal_cdf.py
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McCabe index: 1
number of parameters: 1

id: 8198
unit: def _is_increasing()
file: tensorflow_probability/python/bijectors/moyal_cdf.py
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McCabe index: 1
number of parameters: 1

id: 8199
unit: def _parameter_properties()
file: tensorflow_probability/python/bijectors/absolute_value.py
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McCabe index: 1
number of parameters: 2

id: 8200
unit: def _is_increasing()
file: tensorflow_probability/python/bijectors/absolute_value.py
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McCabe index: 1
number of parameters: 1

id: 8201
unit: def _forward()
file: tensorflow_probability/python/bijectors/absolute_value.py
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McCabe index: 1
number of parameters: 2

id: 8202
unit: def _is_injective()
file: tensorflow_probability/python/bijectors/absolute_value.py
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McCabe index: 1
number of parameters: 1

id: 8203
unit: def _is_increasing()
file: tensorflow_probability/python/bijectors/reciprocal.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8204
unit: def _parameter_properties()
file: tensorflow_probability/python/bijectors/reciprocal.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8205
unit: def cholesky_fn()
file: tensorflow_probability/python/bijectors/cholesky_outer_product.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8206
unit: def _parameter_properties()
file: tensorflow_probability/python/bijectors/cholesky_outer_product.py
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McCabe index: 1
number of parameters: 2

id: 8207
unit: def _inverse()
file: tensorflow_probability/python/bijectors/cholesky_outer_product.py
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McCabe index: 1
number of parameters: 2

id: 8208
unit: def concentration()
file: tensorflow_probability/python/bijectors/gompertz_cdf.py
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McCabe index: 1
number of parameters: 1

id: 8209
unit: def rate()
file: tensorflow_probability/python/bijectors/gompertz_cdf.py
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McCabe index: 1
number of parameters: 1

id: 8210
unit: def _is_increasing()
file: tensorflow_probability/python/bijectors/gompertz_cdf.py
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McCabe index: 1
number of parameters: 1

id: 8211
unit: def _parameter_properties()
file: tensorflow_probability/python/bijectors/real_nvp.py
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McCabe index: 1
number of parameters: 2

id: 8212
unit: def _bijector_input_units()
file: tensorflow_probability/python/bijectors/real_nvp.py
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McCabe index: 1
number of parameters: 1

id: 8213
unit: def skewness()
file: tensorflow_probability/python/bijectors/sinh_arcsinh.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8214
unit: def tailweight()
file: tensorflow_probability/python/bijectors/sinh_arcsinh.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8215
unit: def _is_increasing()
file: tensorflow_probability/python/bijectors/sinh_arcsinh.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8216
unit: def _parameter_properties()
file: tensorflow_probability/python/bijectors/glow.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8217
unit: def blockwise_splits()
file: tensorflow_probability/python/bijectors/glow.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8218
unit: def forward()
file: tensorflow_probability/python/bijectors/glow.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8219
unit: def inverse()
file: tensorflow_probability/python/bijectors/glow.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8220
unit: def inverse_log_det_jacobian()
file: tensorflow_probability/python/bijectors/glow.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8221
unit: def forward_log_det_jacobian()
file: tensorflow_probability/python/bijectors/glow.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8222
unit: def _parameter_properties()
file: tensorflow_probability/python/bijectors/correlation_cholesky.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8223
unit: def _forward_log_det_jacobian()
file: tensorflow_probability/python/bijectors/correlation_cholesky.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8224
unit: def _parameter_properties()
file: tensorflow_probability/python/bijectors/fill_triangular.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8225
unit: def _forward()
file: tensorflow_probability/python/bijectors/fill_triangular.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8226
unit: def _inverse()
file: tensorflow_probability/python/bijectors/fill_triangular.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8227
unit: def _forward_log_det_jacobian()
file: tensorflow_probability/python/bijectors/fill_triangular.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8228
unit: def _inverse_log_det_jacobian()
file: tensorflow_probability/python/bijectors/fill_triangular.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8229
unit: def _is_permutation()
file: tensorflow_probability/python/bijectors/fill_triangular.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8230
unit: def validate_event_size()
file: tensorflow_probability/python/bijectors/composition.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8231
unit: def _is_injective()
file: tensorflow_probability/python/bijectors/composition.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8232
unit: def _is_permutation()
file: tensorflow_probability/python/bijectors/composition.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8233
unit: def graph_parents()
file: tensorflow_probability/python/bijectors/bijector.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8234
unit: def forward_min_event_ndims()
file: tensorflow_probability/python/bijectors/bijector.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8235
unit: def inverse_min_event_ndims()
file: tensorflow_probability/python/bijectors/bijector.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8236
unit: def has_static_min_event_ndims()
file: tensorflow_probability/python/bijectors/bijector.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8237
unit: def is_constant_jacobian()
file: tensorflow_probability/python/bijectors/bijector.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8238
unit: def _is_injective()
file: tensorflow_probability/python/bijectors/bijector.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8239
unit: def _is_permutation()
file: tensorflow_probability/python/bijectors/bijector.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8240
unit: def validate_args()
file: tensorflow_probability/python/bijectors/bijector.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8241
unit: def dtype()
file: tensorflow_probability/python/bijectors/bijector.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8242
unit: def name()
file: tensorflow_probability/python/bijectors/bijector.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8243
unit: def parameters()
file: tensorflow_probability/python/bijectors/bijector.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 3
number of parameters: 1

id: 8244
unit: def _forward_event_shape_tensor()
file: tensorflow_probability/python/bijectors/bijector.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8245
unit: def _forward_event_shape()
file: tensorflow_probability/python/bijectors/bijector.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8246
unit: def _inverse_event_shape_tensor()
file: tensorflow_probability/python/bijectors/bijector.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8247
unit: def _inverse_event_shape()
file: tensorflow_probability/python/bijectors/bijector.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8248
unit: def _forward()
file: tensorflow_probability/python/bijectors/bijector.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8249
unit: def forward()
file: tensorflow_probability/python/bijectors/bijector.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 8250
unit: def _is_increasing()
file: tensorflow_probability/python/bijectors/bijector.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8251
unit: def _internal_is_increasing()
file: tensorflow_probability/python/bijectors/bijector.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8252
unit: def _inverse()
file: tensorflow_probability/python/bijectors/bijector.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8253
unit: def inverse()
file: tensorflow_probability/python/bijectors/bijector.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 8254
unit: def _forward_dtype()
file: tensorflow_probability/python/bijectors/bijector.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8255
unit: def _inverse_dtype()
file: tensorflow_probability/python/bijectors/bijector.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8256
unit: def _parameter_control_dependencies()
file: tensorflow_probability/python/bijectors/bijector.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8257
unit: def __init__()
file: tensorflow_probability/python/bijectors/bijector.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8258
unit: def _str_dtype()
file: tensorflow_probability/python/bijectors/bijector.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8259
unit: def _is_increasing()
file: tensorflow_probability/python/bijectors/softfloor.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8260
unit: def temperature()
file: tensorflow_probability/python/bijectors/softfloor.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8261
unit: def _call()
file: spinoffs/oryx/oryx/experimental/nn/base.py
start line: 0
end line: 0
size: 1 LOC
McCabe index: 1
number of parameters: 2

id: 8262
unit: def initialize()
file: spinoffs/oryx/oryx/experimental/nn/base.py
start line: 0
end line: 0
size: 1 LOC
McCabe index: 1
number of parameters: 3

id: 8263
unit: def initialize()
file: tensorflow_probability/python/experimental/mcmc/reducer.py
start line: 0
end line: 0
size: 1 LOC
McCabe index: 1
number of parameters: 3