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id: 35
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unit: def __init__()
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id: 42
unit: def sample()
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unit: def __init__()
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id: 44
unit: def __init__()
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id: 45
unit: def sample_multiple_actions()
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id: 46
unit: def __init__()
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id: 47
unit: def __init__()
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id: 48
unit: def log_pis()
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id: 49
unit: def sample_t_last()
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id: 50
unit: def sample_last_few()
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id: 51
unit: def log_pis()
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id: 52
unit: def forward()
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id: 53
unit: def rsample()
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unit: def __init__()
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unit: def __init__()
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id: 57
unit: def predict_start_from_noise()
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id: 58
unit: def sample_t_middle()
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id: 59
unit: def __init__()
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unit: def __init__()
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id: 61
unit: def __init__()
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id: 62
unit: def __init__()
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id: 63
unit: def fanin_init_weights_like()
file: utils/pytorch_util.py
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id: 64
unit: def _format_percent()
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id: 65
unit: def iql_normalize()
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id: 66
unit: def train()
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id: 67
unit: def p_mean_variance()
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id: 68
unit: def __init__()
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id: 69
unit: def sample_multiple()
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id: 70
unit: def p_losses()
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id: 71
unit: def sample_multiple()
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id: 72
unit: def __init__()
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id: 73
unit: def forward()
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id: 74
unit: def optimize_p()
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unit: def train()
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id: 76
unit: def fanin_init()
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id: 77
unit: def stamp()
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id: 78
unit: def __init__()
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id: 79
unit: def forward()
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id: 80
unit: def forward()
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id: 81
unit: def forward()
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id: 82
unit: def train()
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id: 83
unit: def forward()
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id: 84
unit: def mmd_loss_laplacian()
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id: 85
unit: def __init__()
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id: 86
unit: def forward()
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id: 87
unit: def sample()
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id: 90
unit: def train()
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id: 91
unit: def q_posterior()
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id: 92
unit: def q_sample()
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id: 93
unit: def __init__()
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id: 94
unit: def log_prob()
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id: 95
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id: 96
unit: def __init__()
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id: 97
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id: 98
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id: 99
unit: def log_prob()
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id: 100
unit: def log_prob()
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id: 101
unit: def forward()
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id: 102
unit: def cosine_beta_schedule()
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id: 103
unit: def vp_beta_schedule()
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id: 104
unit: def sample_action()
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id: 105
unit: def _format_speed()
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id: 106
unit: def decode_multiple()
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id: 107
unit: def __init__()
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id: 108
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id: 109
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id: 110
unit: def sample_action()
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id: 111
unit: def decode()
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id: 112
unit: def kl_loss()
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id: 113
unit: def decode()
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id: 114
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id: 115
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id: 116
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id: 117
unit: def sample_n()
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id: 118
unit: def sample()
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id: 119
unit: def decode()
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id: 120
unit: def update()
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id: 121
unit: def _clear()
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id: 122
unit: def _format()
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id: 123
unit: def forward()
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id: 124
unit: def sample_action()
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id: 125
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id: 126
unit: def sample_action()
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id: 127
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id: 128
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id: 129
unit: def sample_action()
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id: 130
unit: def sample_action()
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id: 131
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id: 132
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id: 133
unit: def sample_action()
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id: 134
unit: def sample_action()
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id: 135
unit: def linear_beta_schedule()
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id: 136
unit: def sample_action()
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id: 137
unit: def soft_update_from_to()
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id: 138
unit: def resume()
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id: 139
unit: def atanh()
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id: 140
unit: def loss()
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id: 141
unit: def step_ema()
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id: 142
unit: def atanh()
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id: 143
unit: def forward()
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id: 144
unit: def __init__()
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size: 4 LOC
McCabe index: 1
number of parameters: 4

id: 145
unit: def sample_action()
file: agents/qgdp.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 146
unit: def extract()
file: agents/helpers.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 147
unit: def update_model_average()
file: agents/helpers.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 3

id: 148
unit: def update_average()
file: agents/helpers.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 3

id: 149
unit: def step_ema()
file: agents/ql_cvae.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 150
unit: def step_ema()
file: agents/ed_pcq.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 151
unit: def print_banner()
file: utils/utils.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 152
unit: def forward()
file: agents/bc_gan2.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 153
unit: def q1()
file: agents/bc_gan2.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 154
unit: def step_frozen()
file: agents/diffusion.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 155
unit: def expectile_reg_loss()
file: agents/adw_bc_diffusion.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 156
unit: def forward()
file: agents/adw_bc_diffusion.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 157
unit: def q1()
file: agents/adw_bc_diffusion.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 158
unit: def save_model()
file: agents/adw_bc_diffusion.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 159
unit: def load_model()
file: agents/adw_bc_diffusion.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 160
unit: def forward()
file: agents/ql_diffusion.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 161
unit: def q1()
file: agents/ql_diffusion.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 162
unit: def q_min()
file: agents/ql_diffusion.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 163
unit: def save_model()
file: agents/ql_diffusion.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 164
unit: def load_model()
file: agents/ql_diffusion.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 165
unit: def forward()
file: agents/bc_gan.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 166
unit: def forward()
file: agents/bc_w.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 167
unit: def expectile_reg_loss()
file: agents/qgdp.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 168
unit: def forward()
file: agents/qgdp.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 169
unit: def q1()
file: agents/qgdp.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 170
unit: def q_min()
file: agents/qgdp.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 171
unit: def save_model()
file: agents/qgdp.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 172
unit: def load_model()
file: agents/qgdp.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 173
unit: def __init__()
file: agents/helpers.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 174
unit: def __init__()
file: agents/helpers.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 175
unit: def forward()
file: agents/ql_cvae.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 176
unit: def q1()
file: agents/ql_cvae.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 177
unit: def q_min()
file: agents/ql_cvae.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 178
unit: def sample()
file: agents/ed_pcq.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 179
unit: def save_model()
file: agents/ed_pcq.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 180
unit: def load_model()
file: agents/ed_pcq.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 181
unit: def copy_model_params_from_to()
file: utils/pytorch_util.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 182
unit: def pause()
file: utils/utils.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 183
unit: def _format_chunk()
file: utils/utils.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 184
unit: def _format_param()
file: utils/utils.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 185
unit: def sample()
file: agents/bc_gan2.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 186
unit: def forward()
file: agents/bc_gan2.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 187
unit: def sample()
file: agents/bc_kl.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 188
unit: def sample()
file: agents/bc_kl.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 189
unit: def save_model()
file: agents/bc_kl.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 190
unit: def load_model()
file: agents/bc_kl.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 191
unit: def save_model()
file: agents/bc_diffusion.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 192
unit: def load_model()
file: agents/bc_diffusion.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 193
unit: def sample()
file: agents/bc_cvae.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 194
unit: def save_model()
file: agents/bc_cvae.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 195
unit: def load_model()
file: agents/bc_cvae.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 196
unit: def forward()
file: agents/diffusion.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 197
unit: def forward()
file: agents/adw_bc_diffusion.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 198
unit: def save_model()
file: agents/bc_mle.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 199
unit: def load_model()
file: agents/bc_mle.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 200
unit: def sample()
file: agents/bc_mmd.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 201
unit: def sample()
file: agents/bc_mmd.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 202
unit: def save_model()
file: agents/bc_mmd.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 203
unit: def load_model()
file: agents/bc_mmd.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 204
unit: def sample_noise()
file: agents/bc_gan.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 205
unit: def sample()
file: agents/bc_gan.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 206
unit: def save_model()
file: agents/bc_gan.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 207
unit: def load_model()
file: agents/bc_gan.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 208
unit: def save_model()
file: agents/bc_w.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 209
unit: def load_model()
file: agents/bc_w.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 210
unit: def forward()
file: agents/qgdp.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 211
unit: def advantage()
file: agents/qgdp.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 212
unit: def __init__()
file: agents/helpers.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 213
unit: def _loss()
file: agents/helpers.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 214
unit: def _loss()
file: agents/helpers.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 215
unit: def sample()
file: agents/ql_cvae.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 216
unit: def save_model()
file: agents/ql_cvae.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 217
unit: def load_model()
file: agents/ql_cvae.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 218
unit: def identity()
file: agents/ed_pcq.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 219
unit: def forward()
file: agents/ed_pcq.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 220
unit: def fit_input_stats()
file: agents/ed_pcq.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 221
unit: def orthogonal_init()
file: utils/pytorch_util.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 222
unit: def append_description()
file: utils/utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 223
unit: def _chunk()
file: utils/utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 3

id: 224
unit: def close()
file: utils/utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 225
unit: def __init__()
file: utils/utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 226
unit: def __getattr__()
file: utils/utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2