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id: 126
unit: def placeholder_from_space()
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id: 127
unit: def placeholder_from_space()
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id: 128
unit: def placeholder_from_space()
file: spinup/algos/tf1/ppo/core.py
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size: 6 LOC
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id: 129
unit: def mlp()
file: spinup/algos/pytorch/td3/core.py
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id: 130
unit: def mlp()
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id: 131
unit: def __init__()
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id: 132
unit: def mlp()
file: spinup/algos/pytorch/vpg/core.py
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id: 133
unit: def forward()
file: spinup/algos/pytorch/vpg/core.py
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id: 134
unit: def mlp()
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id: 135
unit: def forward()
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id: 136
unit: def mlp()
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id: 137
unit: def mlp()
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id: 138
unit: def mlp()
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id: 139
unit: def add_with_backends()
file: spinup/run.py
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id: 140
unit: def setup_pytorch_for_mpi()
file: spinup/utils/mpi_pytorch.py
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id: 141
unit: def assign_params_from_flat()
file: spinup/utils/mpi_tf.py
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id: 142
unit: def apply_gradients()
file: spinup/utils/mpi_tf.py
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id: 143
unit: def store()
file: spinup/utils/logx.py
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size: 5 LOC
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id: 144
unit: def apply_squashing_func()
file: spinup/algos/tf1/sac/core.py
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id: 145
unit: def diagonal_gaussian_kl()
file: spinup/algos/tf1/trpo/core.py
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id: 146
unit: def assign_params_from_flat()
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id: 147
unit: def __init__()
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id: 148
unit: def __init__()
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id: 149
unit: def __init__()
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id: 150
unit: def __init__()
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id: 151
unit: def __init__()
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id: 152
unit: def __init__()
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id: 153
unit: def setup_tf_saver()
file: spinup/utils/logx.py
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size: 4 LOC
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number of parameters: 4

id: 154
unit: def get_stats()
file: spinup/utils/logx.py
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size: 4 LOC
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number of parameters: 2

id: 155
unit: def mlp()
file: spinup/algos/tf1/td3/core.py
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size: 4 LOC
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number of parameters: 2

id: 156
unit: def mlp()
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id: 157
unit: def combined_shape()
file: spinup/algos/tf1/vpg/core.py
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id: 158
unit: def mlp()
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id: 159
unit: def combined_shape()
file: spinup/algos/tf1/trpo/core.py
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id: 160
unit: def mlp()
file: spinup/algos/tf1/trpo/core.py
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id: 161
unit: def hessian_vector_product()
file: spinup/algos/tf1/trpo/core.py
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size: 4 LOC
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id: 162
unit: def combined_shape()
file: spinup/algos/tf1/ppo/core.py
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id: 163
unit: def mlp()
file: spinup/algos/tf1/ppo/core.py
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id: 164
unit: def mlp()
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id: 165
unit: def combined_shape()
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id: 166
unit: def combined_shape()
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id: 167
unit: def act()
file: spinup/algos/pytorch/sac/core.py
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size: 4 LOC
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id: 168
unit: def combined_shape()
file: spinup/algos/pytorch/vpg/core.py
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id: 169
unit: def _distribution()
file: spinup/algos/pytorch/vpg/core.py
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id: 170
unit: def trpo()
file: spinup/algos/pytorch/trpo/trpo.py
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size: 4 LOC
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id: 171
unit: def combined_shape()
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id: 172
unit: def _distribution()
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id: 173
unit: def combined_shape()
file: spinup/algos/pytorch/ddpg/core.py
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size: 4 LOC
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id: 174
unit: def mlp_gaussian_policy()
file: spinup/exercises/tf1/problem_set_1/exercise1_2.py
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size: 4 LOC
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id: 175
unit: def mlp()
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id: 176
unit: def __init__()
file: spinup/utils/mpi_tf.py
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id: 177
unit: def log()
file: spinup/utils/logx.py
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id: 178
unit: def __init__()
file: spinup/utils/logx.py
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id: 179
unit: def name()
file: spinup/utils/run_utils.py
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id: 180
unit: def count_vars()
file: spinup/algos/tf1/td3/core.py
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id: 181
unit: def count_vars()
file: spinup/algos/tf1/sac/core.py
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id: 182
unit: def gaussian_likelihood()
file: spinup/algos/tf1/sac/core.py
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id: 183
unit: def count_vars()
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id: 184
unit: def gaussian_likelihood()
file: spinup/algos/tf1/vpg/core.py
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id: 185
unit: def count_vars()
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id: 186
unit: def gaussian_likelihood()
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id: 187
unit: def categorical_kl()
file: spinup/algos/tf1/trpo/core.py
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id: 188
unit: def count_vars()
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id: 189
unit: def gaussian_likelihood()
file: spinup/algos/tf1/ppo/core.py
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id: 190
unit: def count_vars()
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id: 191
unit: def __init__()
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id: 192
unit: def forward()
file: spinup/algos/pytorch/td3/core.py
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id: 193
unit: def act()
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id: 194
unit: def __init__()
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unit: def forward()
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id: 196
unit: def __init__()
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id: 197
unit: def _distribution()
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id: 198
unit: def __init__()
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id: 199
unit: def __init__()
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id: 200
unit: def _distribution()
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id: 201
unit: def __init__()
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id: 202
unit: def __init__()
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id: 203
unit: def forward()
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id: 204
unit: def act()
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id: 205
unit: def gaussian_likelihood()
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id: 206
unit: def gaussian_likelihood()
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id: 207
unit: def __init__()
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id: 208
unit: def __init__()
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id: 209
unit: def __init__()
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id: 210
unit: def gaussian_likelihood()
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id: 211
unit: def __init__()
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id: 212
unit: def gaussian_likelihood()
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id: 213
unit: def __init__()
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id: 214
unit: def act()
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id: 215
unit: def get_version()
file: spinup/version.py
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id: 216
unit: def friendly_err()
file: spinup/run.py
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id: 217
unit: def msg()
file: spinup/utils/mpi_tools.py
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id: 218
unit: def proc_id()
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id: 219
unit: def allreduce()
file: spinup/utils/mpi_tools.py
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id: 220
unit: def num_procs()
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id: 221
unit: def broadcast()
file: spinup/utils/mpi_tools.py
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id: 222
unit: def mpi_sum()
file: spinup/utils/mpi_tools.py
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id: 223
unit: def mpi_avg()
file: spinup/utils/mpi_tools.py
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id: 224
unit: def flat_concat()
file: spinup/utils/mpi_tf.py
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id: 225
unit: def sync_all_params()
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id: 226
unit: def setup_pytorch_saver()
file: spinup/utils/logx.py
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id: 227
unit: def all_bools()
file: spinup/utils/run_utils.py
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id: 228
unit: def placeholder()
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id: 229
unit: def placeholders()
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id: 230
unit: def get_vars()
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id: 231
unit: def placeholder()
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id: 232
unit: def placeholders()
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id: 233
unit: def get_vars()
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id: 234
unit: def placeholder()
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id: 235
unit: def placeholders()
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id: 236
unit: def placeholders_from_spaces()
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id: 237
unit: def get_vars()
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id: 238
unit: def discount_cumsum()
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id: 239
unit: def keys_as_sorted_list()
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id: 240
unit: def values_as_sorted_list()
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id: 241
unit: def placeholder()
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id: 242
unit: def placeholders()
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id: 243
unit: def placeholders_from_spaces()
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id: 244
unit: def get_vars()
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id: 245
unit: def flat_concat()
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id: 246
unit: def flat_grad()
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id: 247
unit: def discount_cumsum()
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unit: def placeholder()
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id: 250
unit: def placeholders_from_spaces()
file: spinup/algos/tf1/ppo/core.py
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size: 2 LOC
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number of parameters: 1

id: 251
unit: def get_vars()
file: spinup/algos/tf1/ppo/core.py
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end line: 0
size: 2 LOC
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number of parameters: 1

id: 252
unit: def discount_cumsum()
file: spinup/algos/tf1/ppo/core.py
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end line: 0
size: 2 LOC
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number of parameters: 2

id: 253
unit: def placeholder()
file: spinup/algos/tf1/ddpg/core.py
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end line: 0
size: 2 LOC
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number of parameters: 1

id: 254
unit: def placeholders()
file: spinup/algos/tf1/ddpg/core.py
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size: 2 LOC
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number of parameters: 1

id: 255
unit: def get_vars()
file: spinup/algos/tf1/ddpg/core.py
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size: 2 LOC
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number of parameters: 1

id: 256
unit: def count_vars()
file: spinup/algos/pytorch/td3/core.py
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size: 2 LOC
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number of parameters: 1

id: 257
unit: def forward()
file: spinup/algos/pytorch/td3/core.py
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size: 2 LOC
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number of parameters: 2

id: 258
unit: def count_vars()
file: spinup/algos/pytorch/sac/core.py
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size: 2 LOC
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number of parameters: 1

id: 259
unit: def count_vars()
file: spinup/algos/pytorch/vpg/core.py
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size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 260
unit: def discount_cumsum()
file: spinup/algos/pytorch/vpg/core.py
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size: 2 LOC
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number of parameters: 2

id: 261
unit: def _distribution()
file: spinup/algos/pytorch/vpg/core.py
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size: 2 LOC
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number of parameters: 2

id: 262
unit: def _log_prob_from_distribution()
file: spinup/algos/pytorch/vpg/core.py
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size: 2 LOC
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number of parameters: 3

id: 263
unit: def _log_prob_from_distribution()
file: spinup/algos/pytorch/vpg/core.py
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size: 2 LOC
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number of parameters: 3

id: 264
unit: def _log_prob_from_distribution()
file: spinup/algos/pytorch/vpg/core.py
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size: 2 LOC
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number of parameters: 3

id: 265
unit: def forward()
file: spinup/algos/pytorch/vpg/core.py
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size: 2 LOC
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number of parameters: 2

id: 266
unit: def act()
file: spinup/algos/pytorch/vpg/core.py
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size: 2 LOC
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number of parameters: 2

id: 267
unit: def count_vars()
file: spinup/algos/pytorch/ppo/core.py
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size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 268
unit: def discount_cumsum()
file: spinup/algos/pytorch/ppo/core.py
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size: 2 LOC
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number of parameters: 2

id: 269
unit: def _distribution()
file: spinup/algos/pytorch/ppo/core.py
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size: 2 LOC
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number of parameters: 2

id: 270
unit: def _log_prob_from_distribution()
file: spinup/algos/pytorch/ppo/core.py
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size: 2 LOC
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number of parameters: 3

id: 271
unit: def _log_prob_from_distribution()
file: spinup/algos/pytorch/ppo/core.py
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size: 2 LOC
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number of parameters: 3

id: 272
unit: def _log_prob_from_distribution()
file: spinup/algos/pytorch/ppo/core.py
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size: 2 LOC
McCabe index: 2
number of parameters: 3

id: 273
unit: def forward()
file: spinup/algos/pytorch/ppo/core.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 274
unit: def act()
file: spinup/algos/pytorch/ppo/core.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 275
unit: def count_vars()
file: spinup/algos/pytorch/ddpg/core.py
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size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 276
unit: def forward()
file: spinup/algos/pytorch/ddpg/core.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 277
unit: def gaussian_likelihood()
file: spinup/exercises/tf1/problem_set_1/exercise1_1.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 278
unit: def mlp()
file: spinup/exercises/tf1/problem_set_1/exercise1_2.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 279
unit: def forward()
file: spinup/exercises/pytorch/problem_set_1/exercise1_2_auxiliary.py
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size: 2 LOC
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number of parameters: 2

id: 280
unit: def act()
file: spinup/exercises/pytorch/problem_set_1/exercise1_2_auxiliary.py
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size: 2 LOC
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number of parameters: 2

id: 281
unit: def gaussian_likelihood()
file: spinup/exercises/pytorch/problem_set_1/exercise1_1.py
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size: 2 LOC
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number of parameters: 3

id: 282
unit: def mlp()
file: spinup/exercises/pytorch/problem_set_1/exercise1_2.py
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size: 2 LOC
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number of parameters: 3

id: 283
unit: def sample()
file: spinup/exercises/pytorch/problem_set_1/exercise1_2.py
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size: 2 LOC
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id: 284
unit: def log_prob()
file: spinup/exercises/pytorch/problem_set_1/exercise1_2.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 285
unit: def entropy()
file: spinup/exercises/pytorch/problem_set_1/exercise1_2.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 286
unit: def sample()
file: spinup/exercises/pytorch/problem_set_1_solutions/exercise1_2_soln.py
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size: 2 LOC
McCabe index: 1
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id: 287
unit: def log_prob()
file: spinup/exercises/pytorch/problem_set_1_solutions/exercise1_2_soln.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 288
unit: def entropy()
file: spinup/exercises/pytorch/problem_set_1_solutions/exercise1_2_soln.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 289
unit: def forward()
file: spinup/exercises/pytorch/problem_set_2/exercise2_2.py
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size: 2 LOC
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number of parameters: 2

id: 290
unit: def forward()
file: spinup/exercises/pytorch/problem_set_2/exercise2_2.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3