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unit: def __repr__()
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id: 131
unit: def __str__()
file: data/envs/babyai/bot_agent.py
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size: 2 LOC
McCabe index: 1
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id: 132
unit: def manhattan_distance()
file: data/envs/babyai/bot_agent.py
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size: 2 LOC
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number of parameters: 2

id: 133
unit: def replan_before_action()
file: data/envs/babyai/bot_agent.py
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size: 2 LOC
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number of parameters: 1

id: 134
unit: def replan_after_action()
file: data/envs/babyai/bot_agent.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 135
unit: def is_exploratory()
file: data/envs/babyai/bot_agent.py
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size: 2 LOC
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number of parameters: 1

id: 136
unit: def is_exploratory()
file: data/envs/babyai/bot_agent.py
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size: 2 LOC
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number of parameters: 1

id: 137
unit: def is_exploratory()
file: data/envs/babyai/bot_agent.py
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size: 2 LOC
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id: 138
unit: def _get_train_sampler()
file: scripts/train_jat_tokenized.py
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size: 2 LOC
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number of parameters: 1

id: 139
unit: def truncate()
file: jat/processing_jat.py
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size: 2 LOC
McCabe index: 1
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id: 140
unit: def batch_decode()
file: jat/processing_jat.py
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id: 141
unit: def decode()
file: jat/processing_jat.py
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size: 2 LOC
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number of parameters: 3

id: 142
unit: def compute_mse_loss()
file: jat/modeling_jat.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 143
unit: def compute_ce_loss()
file: jat/modeling_jat.py
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size: 2 LOC
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id: 144
unit: def to_list()
file: jat/modeling_jat.py
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id: 145
unit: def reward()
file: jat/eval/rl/wrappers.py
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id: 146
unit: def observation()
file: jat/eval/rl/wrappers.py
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id: 147
unit: def get_task_names()
file: jat/eval/rl/core.py
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id: 148
unit: def reward()
file: jat/eval/rl/core.py
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id: 149
unit: def observation()
file: jat/eval/rl/core.py
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size: 2 LOC
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number of parameters: 2