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unit: def frechet_distance()
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unit: def write_camera_metadata()
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unit: def model_from_config()
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unit: def discretized_gaussian_log_likelihood()
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unit: def training_losses()
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unit: def karras_sample_progressive()
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unit: def import_model()
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unit: def farthest_point_sample()
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id: 29
unit: def subsample()
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id: 30
unit: def q_posterior_mean_variance()
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id: 31
unit: def normal_kl()
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unit: def forward()
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unit: def __init__()
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unit: def get_named_beta_schedule()
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unit: def main()
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id: 36
unit: def validate()
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unit: def backward()
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unit: def sample_euler_ancestral()
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id: 40
unit: def scene_bbox()
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unit: def _read_bytes()
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unit: def forward()
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unit: def save()
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unit: def ddim_sample_loop()
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unit: def ddim_sample_loop_progressive()
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unit: def __init__()
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unit: def cached_model_kwargs()
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unit: def p_sample_loop()
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unit: def p_sample_loop_progressive()
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unit: def index_points()
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unit: def query_ball_point()
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id: 56
unit: def _npz_paths_and_length()
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unit: def write_ply()
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unit: def load()
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unit: def output_to_point_clouds()
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id: 63
unit: def denoise()
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unit: def normalize_scene()
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unit: def create_light()
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id: 66
unit: def read_batch()
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unit: def read_batch()
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id: 68
unit: def timestep_embedding()
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unit: def __init__()
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id: 75
unit: def __init__()
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unit: def ddim_sample()
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unit: def ddim_reverse_sample()
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id: 78
unit: def scale_channels()
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unit: def unscale_channels()
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id: 80
unit: def main()
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unit: def pan_camera()
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unit: def place_camera()
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id: 83
unit: def scene_fov()
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unit: def save_rendering_dataset()
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unit: def sample_and_group_all()
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id: 90
unit: def with_options()
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unit: def _predict_xstart_from_xprev()
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id: 92
unit: def p_sample()
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id: 93
unit: def sample_heun()
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id: 94
unit: def sample_dpm()
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id: 95
unit: def set_socket_value()
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unit: def forward()
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id: 99
unit: def plot_point_cloud()
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id: 100
unit: def nearest_points()
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unit: def combine()
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id: 102
unit: def marching_cubes_mesh()
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id: 103
unit: def q_sample()
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id: 104
unit: def condition_score()
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id: 105
unit: def sigma_to_t()
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id: 106
unit: def find_materials()
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id: 107
unit: def get_socket_value()
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id: 108
unit: def compute_inception_score()
file: point_e/evals/fid_is.py
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id: 109
unit: def forward()
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id: 110
unit: def __init__()
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id: 111
unit: def forward()
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id: 112
unit: def buffered_writer()
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unit: def get_beta_schedule()
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id: 114
unit: def betas_for_alpha_bar()
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id: 115
unit: def __init__()
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id: 116
unit: def guided_denoiser()
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id: 117
unit: def create_default_materials()
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id: 118
unit: def pc_normalize()
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id: 119
unit: def square_distance()
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id: 120
unit: def open_array()
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id: 125
unit: def load_checkpoint()
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unit: def forward()
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id: 130
unit: def save()
file: point_e/util/point_cloud.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 131
unit: def process_xstart()
file: point_e/diffusion/gaussian_diffusion.py
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end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 1

id: 132
unit: def _predict_xstart_from_eps()
file: point_e/diffusion/gaussian_diffusion.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 133
unit: def _prior_bpd()
file: point_e/diffusion/gaussian_diffusion.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 134
unit: def denoise()
file: point_e/diffusion/k_diffusion.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 5

id: 135
unit: def get_sigmas_karras()
file: point_e/diffusion/k_diffusion.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 5

id: 136
unit: def clear_lights()
file: point_e/evals/scripts/blender_script.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 0

id: 137
unit: def set_camera()
file: point_e/evals/scripts/blender_script.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 138
unit: def create_uniform_light()
file: point_e/evals/scripts/blender_script.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 139
unit: def normalize_point_clouds()
file: point_e/evals/feature_extractor.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 140
unit: def read_batch()
file: point_e/evals/npz_stream.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 141
unit: def forward()
file: point_e/models/sdf.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 142
unit: def forward()
file: point_e/models/transformer.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 143
unit: def feature_dim()
file: point_e/models/pretrained_clip.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 144
unit: def grid_size()
file: point_e/models/pretrained_clip.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 145
unit: def grid_feature_dim()
file: point_e/models/pretrained_clip.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 146
unit: def _static_multimodal_embed()
file: point_e/models/pretrained_clip.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 147
unit: def embed_text()
file: point_e/models/pretrained_clip.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 148
unit: def checkpoint()
file: point_e/models/checkpoint.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 149
unit: def write_ply()
file: point_e/util/ply_util.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 150
unit: def random_sample()
file: point_e/util/point_cloud.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 151
unit: def sample_batch()
file: point_e/diffusion/sampler.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 4

id: 152
unit: def q_mean_variance()
file: point_e/diffusion/gaussian_diffusion.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 153
unit: def _extract_into_tensor()
file: point_e/diffusion/gaussian_diffusion.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 154
unit: def get_scalings()
file: point_e/diffusion/k_diffusion.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 155
unit: def karras_sample()
file: point_e/diffusion/k_diffusion.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 156
unit: def denoiser()
file: point_e/diffusion/k_diffusion.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 157
unit: def denoiser()
file: point_e/diffusion/k_diffusion.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 158
unit: def append_dims()
file: point_e/diffusion/k_diffusion.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 159
unit: def create_camera()
file: point_e/evals/scripts/blender_script.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 160
unit: def get_torch_devices()
file: point_e/evals/feature_extractor.py
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end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 0

id: 161
unit: def __init__()
file: point_e/evals/feature_extractor.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 162
unit: def __init__()
file: point_e/evals/npz_stream.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 4

id: 163
unit: def encode_point_clouds()
file: point_e/models/sdf.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 164
unit: def init_linear()
file: point_e/models/transformer.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 165
unit: def forward()
file: point_e/models/transformer.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 166
unit: def forward()
file: point_e/models/transformer.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 167
unit: def forward()
file: point_e/models/transformer.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 168
unit: def cached_model_kwargs()
file: point_e/models/transformer.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 4

id: 169
unit: def forward()
file: point_e/models/perceiver.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 170
unit: def forward()
file: point_e/models/perceiver.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 3

id: 171
unit: def embed_images()
file: point_e/models/pretrained_clip.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 172
unit: def __init__()
file: point_e/models/pretrained_clip.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 3

id: 173
unit: def preprocess()
file: point_e/util/point_cloud.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 174
unit: def split_model_output()
file: point_e/diffusion/sampler.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 0

id: 175
unit: def _predict_eps_from_xstart()
file: point_e/diffusion/gaussian_diffusion.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 4

id: 176
unit: def condition_mean()
file: point_e/diffusion/gaussian_diffusion.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 6

id: 177
unit: def _wrap_model()
file: point_e/diffusion/gaussian_diffusion.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 178
unit: def __init__()
file: point_e/diffusion/gaussian_diffusion.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 4

id: 179
unit: def __call__()
file: point_e/diffusion/gaussian_diffusion.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 4

id: 180
unit: def get_ancestral_step()
file: point_e/diffusion/k_diffusion.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 181
unit: def scene_root_objects()
file: point_e/evals/scripts/blender_script.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 3
number of parameters: 0

id: 182
unit: def scene_meshes()
file: point_e/evals/scripts/blender_script.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 3
number of parameters: 0

id: 183
unit: def create_random_lights()
file: point_e/evals/scripts/blender_script.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 3

id: 184
unit: def clear_socket_input()
file: point_e/evals/scripts/blender_script.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 3
number of parameters: 2

id: 185
unit: def load()
file: point_e/evals/npz_stream.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 186
unit: def compute_statistics()
file: point_e/evals/fid_is.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 187
unit: def cached_model_kwargs()
file: point_e/models/transformer.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 4

id: 188
unit: def embed_images()
file: point_e/models/pretrained_clip.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 189
unit: def embed_text()
file: point_e/models/pretrained_clip.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 190
unit: def embed_images_grid()
file: point_e/models/pretrained_clip.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 191
unit: def select_channels()
file: point_e/util/point_cloud.py
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end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 192
unit: def _nearest_vertex_channels()
file: point_e/util/pc_to_mesh.py
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end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 193
unit: def clear_scene()
file: point_e/evals/scripts/blender_script.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 0

id: 194
unit: def randomize_camera()
file: point_e/evals/scripts/blender_script.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 195
unit: def create_camera_light()
file: point_e/evals/scripts/blender_script.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 0

id: 196
unit: def timeit()
file: point_e/evals/pointnet2_utils.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 197
unit: def forward()
file: point_e/evals/pointnet2_cls_ssg.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 4

id: 198
unit: def infos_from_first_file()
file: point_e/evals/npz_stream.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 199
unit: def __init__()
file: point_e/evals/npz_stream.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 200
unit: def __init__()
file: point_e/evals/npz_stream.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 201
unit: def __init__()
file: point_e/evals/npz_stream.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 202
unit: def __init__()
file: point_e/evals/fid_is.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 203
unit: def predict_sdf()
file: point_e/models/sdf.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 204
unit: def device()
file: point_e/models/sdf.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 205
unit: def default_batch_size()
file: point_e/models/sdf.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 206
unit: def predict_sdf()
file: point_e/models/sdf.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 207
unit: def forward()
file: point_e/models/transformer.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 208
unit: def _forward_with_cond()
file: point_e/models/transformer.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 209
unit: def default_cache_dir()
file: point_e/models/download.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 210
unit: def fetch_file_cached()
file: point_e/models/download.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 211
unit: def images_to_tensor()
file: point_e/models/pretrained_clip.py
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end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 2

id: 212
unit: def feature_dim()
file: point_e/models/pretrained_clip.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 213
unit: def grid_size()
file: point_e/models/pretrained_clip.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 214
unit: def grid_feature_dim()
file: point_e/models/pretrained_clip.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 215
unit: def has_vertex_colors()
file: point_e/util/mesh.py
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end line: 0
size: 2 LOC
McCabe index: 3
number of parameters: 1

id: 216
unit: def farthest_point_sample()
file: point_e/util/point_cloud.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 217
unit: def compute_dists()
file: point_e/util/point_cloud.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 218
unit: def int_coord_to_float()
file: point_e/util/pc_to_mesh.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 219
unit: def num_stages()
file: point_e/diffusion/sampler.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 220
unit: def sample_batch_progressive()
file: point_e/diffusion/sampler.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 221
unit: def _uncond_guide_model()
file: point_e/diffusion/sampler.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

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

id: 223
unit: def p_mean_variance()
file: point_e/diffusion/gaussian_diffusion.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

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

id: 225
unit: def unscale_out_dict()
file: point_e/diffusion/gaussian_diffusion.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 226
unit: def p_mean_variance()
file: point_e/diffusion/gaussian_diffusion.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 227
unit: def training_losses()
file: point_e/diffusion/gaussian_diffusion.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 228
unit: def condition_mean()
file: point_e/diffusion/gaussian_diffusion.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 229
unit: def condition_score()
file: point_e/diffusion/gaussian_diffusion.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 230
unit: def approx_standard_normal_cdf()
file: point_e/diffusion/gaussian_diffusion.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 231
unit: def mean_flat()
file: point_e/diffusion/gaussian_diffusion.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 232
unit: def __init__()
file: point_e/diffusion/k_diffusion.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 233
unit: def get_snr()
file: point_e/diffusion/k_diffusion.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 234
unit: def get_sigmas()
file: point_e/diffusion/k_diffusion.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 235
unit: def to_d()
file: point_e/diffusion/k_diffusion.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 236
unit: def append_zero()
file: point_e/diffusion/k_diffusion.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 237
unit: def __init__()
file: point_e/evals/pointnet2_cls_ssg.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 238
unit: def supports_predictions()
file: point_e/evals/feature_extractor.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 239
unit: def feature_dim()
file: point_e/evals/feature_extractor.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 240
unit: def num_classes()
file: point_e/evals/feature_extractor.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 241
unit: def supports_predictions()
file: point_e/evals/feature_extractor.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 242
unit: def feature_dim()
file: point_e/evals/feature_extractor.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 243
unit: def num_classes()
file: point_e/evals/feature_extractor.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 244
unit: def elem_shape()
file: point_e/evals/npz_stream.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 245
unit: def keys()
file: point_e/evals/npz_stream.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 246
unit: def read_batch()
file: point_e/evals/npz_stream.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 247
unit: def _dict_batch_size()
file: point_e/evals/npz_stream.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 248
unit: def device()
file: point_e/models/sdf.py
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end line: 0
size: 1 LOC
McCabe index: 1
number of parameters: 1

id: 249
unit: def default_batch_size()
file: point_e/models/sdf.py
start line: 0
end line: 0
size: 1 LOC
McCabe index: 1
number of parameters: 1

id: 250
unit: def encode_point_clouds()
file: point_e/models/sdf.py
start line: 0
end line: 0
size: 1 LOC
McCabe index: 1
number of parameters: 2

id: 251
unit: def features_and_preds()
file: point_e/evals/feature_extractor.py
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end line: 0
size: 1 LOC
McCabe index: 1
number of parameters: 2