The distribution of size of files (measured in lines of code).
File | # lines | # units |
---|---|---|
synthetic_item_response_theory.py in spinoffs/inference_gym/inference_gym/internal/datasets |
90044 | - |
stochastic_volatility_sp500.py in spinoffs/inference_gym/inference_gym/targets/ground_truth |
7583 | - |
stochastic_volatility_log_sp500.py in spinoffs/inference_gym/inference_gym/targets/ground_truth |
7583 | - |
sp500_closing_prices.py in spinoffs/inference_gym/inference_gym/internal/datasets |
2521 | - |
synthetic_plasma_spectroscopy.py in spinoffs/inference_gym/inference_gym/internal/datasets |
1706 | - |
synthetic_item_response_theory.py in spinoffs/inference_gym/inference_gym/targets/ground_truth |
1523 | - |
fun_mc_lib.py in spinoffs/fun_mc/fun_mc |
1428 | 75 |
linear_gaussian_ssm.py in tensorflow_probability/python/distributions |
1010 | 57 |
special.py in tensorflow_probability/python/math |
1004 | 71 |
joint_distribution.py in tensorflow_probability/python/distributions |
921 | 77 |
bijector.py in tensorflow_probability/python/bijectors |
914 | 77 |
hypothesis_testlib.py in tensorflow_probability/python/distributions |
910 | 34 |
distribution.py in tensorflow_probability/python/distributions |
879 | 96 |
preconditioned_nuts.py in tensorflow_probability/python/experimental/mcmc |
826 | 29 |
nuts.py in tensorflow_probability/python/mcmc |
820 | 28 |
distribution_layer.py in tensorflow_probability/python/layers |
806 | 62 |
snaper_hmc.py in tensorflow_probability/python/experimental/mcmc |
784 | 43 |
harvest.py in spinoffs/oryx/oryx/core/interpreters |
735 | 57 |
hidden_markov_model.py in tensorflow_probability/python/distributions |
717 | 30 |
numpy_math.py in tensorflow_probability/python/internal/backend/numpy |
717 | 29 |
convolution_util.py in tensorflow_probability/python/experimental/nn/util |
707 | 17 |
bessel.py in tensorflow_probability/python/math |
692 | 41 |
distribution_util.py in tensorflow_probability/python/internal |
684 | 46 |
conv_variational.py in tensorflow_probability/python/layers |
652 | 19 |
instructions.py in tensorflow_probability/python/experimental/auto_batching |
599 | 84 |
linear_operator.py in tensorflow_probability/python/internal/backend/numpy/gen |
599 | 86 |
bdf.py in tensorflow_probability/python/math/ode |
582 | 11 |
hypothesis_testlib.py in tensorflow_probability/python/math/psd_kernels |
561 | 21 |
unzip.py in spinoffs/oryx/oryx/core/interpreters |
543 | 43 |
hypothesis_testlib.py in tensorflow_probability/python/internal |
538 | 42 |
gradient_based_trajectory_length_adaptation.py in tensorflow_probability/python/experimental/mcmc |
536 | 39 |
deferred_tensor.py in tensorflow_probability/python/util |
515 | 58 |
prefab.py in spinoffs/fun_mc/fun_mc |
502 | 19 |
windowed_sampling.py in tensorflow_probability/python/experimental/mcmc |
502 | 25 |
masked_autoregressive.py in tensorflow_probability/python/bijectors |
496 | 23 |
synthetic_plasma_spectroscopy_with_bump.py in spinoffs/inference_gym/inference_gym/internal/datasets |
486 | - |
replica_exchange_mc.py in tensorflow_probability/python/mcmc |
486 | 27 |
ops.py in tensorflow_probability/python/internal/backend/numpy |
480 | 46 |
gamma.py in tensorflow_probability/python/distributions |
479 | 39 |
statistical_testing.py in tensorflow_probability/python/distributions/internal |
471 | 27 |
linalg.py in tensorflow_probability/python/math |
468 | 18 |
composition.py in tensorflow_probability/python/bijectors |
468 | 37 |
tensor_shape.py in tensorflow_probability/python/internal/backend/numpy/gen |
464 | 74 |
langevin.py in tensorflow_probability/python/mcmc |
451 | 31 |
nelder_mead.py in tensorflow_probability/python/optimizer |
450 | 15 |
gibbs_sampler.py in tensorflow_probability/python/experimental/sts_gibbs |
441 | 16 |
dormand_prince.py in tensorflow_probability/python/math/ode |
433 | 15 |
pixel_cnn.py in tensorflow_probability/python/distributions |
425 | 13 |
variational_gaussian_process.py in tensorflow_probability/python/distributions |
419 | 21 |
batch_reshape.py in tensorflow_probability/python/distributions |
414 | 42 |
File | # lines | # units |
---|---|---|
distribution.py in tensorflow_probability/python/distributions |
879 | 96 |
linear_operator.py in tensorflow_probability/python/internal/backend/numpy/gen |
599 | 86 |
instructions.py in tensorflow_probability/python/experimental/auto_batching |
599 | 84 |
joint_distribution.py in tensorflow_probability/python/distributions |
921 | 77 |
bijector.py in tensorflow_probability/python/bijectors |
914 | 77 |
fun_mc_lib.py in spinoffs/fun_mc/fun_mc |
1428 | 75 |
jax_rewrite.py in spinoffs/oryx/oryx/experimental/matching |
348 | 75 |
tensor_shape.py in tensorflow_probability/python/internal/backend/numpy/gen |
464 | 74 |
special.py in tensorflow_probability/python/math |
1004 | 71 |
distribution_layer.py in tensorflow_probability/python/layers |
806 | 62 |
deferred_tensor.py in tensorflow_probability/python/util |
515 | 58 |
harvest.py in spinoffs/oryx/oryx/core/interpreters |
735 | 57 |
linear_gaussian_ssm.py in tensorflow_probability/python/distributions |
1010 | 57 |
positive_semidefinite_kernel.py in tensorflow_probability/python/math/psd_kernels |
378 | 54 |
family.py in tensorflow_probability/python/glm |
276 | 50 |
distribution_util.py in tensorflow_probability/python/internal |
684 | 46 |
ops.py in tensorflow_probability/python/internal/backend/numpy |
480 | 46 |
unzip.py in spinoffs/oryx/oryx/core/interpreters |
543 | 43 |
markov_chain.py in tensorflow_probability/python/distributions |
368 | 43 |
snaper_hmc.py in tensorflow_probability/python/experimental/mcmc |
784 | 43 |
There are 20 files with lines longer than 120 characters. In total, there are 48 long lines.
File | # lines | # units | # long lines |
---|---|---|---|
__init__.py in tensorflow_probability/python/distributions |
263 | - | 8 |
__init__.py in tensorflow_probability/python/experimental/mcmc |
120 | - | 7 |
__init__.py in tensorflow_probability/python/experimental/vi |
28 | - | 5 |
__init__.py in tensorflow_probability/python/experimental/vi/util |
14 | - | 4 |
__init__.py in tensorflow_probability/python/experimental/nn/util |
54 | - | 3 |
__init__.py in tensorflow_probability/python/experimental/nn |
42 | - | 3 |
__init__.py in tensorflow_probability/python/sts/components |
50 | - | 3 |
__init__.py in tensorflow_probability/python/experimental/sequential |
22 | - | 2 |
linear_operator.py in tensorflow_probability/python/internal/backend/numpy/gen |
599 | 86 | 2 |
data.py in spinoffs/inference_gym/inference_gym/internal |
320 | 16 | 1 |
setup.py in spinoffs/inference_gym |
44 | - | 1 |
_index.yaml in tensorflow_probability/g3doc |
101 | - | 1 |
__init__.py in tensorflow_probability/python/optimizer |
32 | - | 1 |
__init__.py in tensorflow_probability/python/optimizer/convergence_criteria |
10 | - | 1 |
__init__.py in tensorflow_probability/python/experimental/distributions |
13 | - | 1 |
__init__.py in tensorflow_probability/python/experimental/bijectors |
16 | - | 1 |
__init__.py in tensorflow_probability/python/experimental/marginalize |
6 | - | 1 |
linear_operator_kronecker.py in tensorflow_probability/python/internal/backend/numpy/gen |
301 | 18 | 1 |
linalg.py in tensorflow_probability/python/internal/backend/numpy |
80 | 1 | 1 |
autoregressive_integrated_moving_average.py in tensorflow_probability/python/sts/components |
228 | 10 | 1 |