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id: 117
unit: tf::Status RunInferenceGetLeaves()
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size: 18 LOC
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id: 118
unit: This OP expects for a model to be loaded()
file: tensorflow_decision_forests/tensorflow/ops/inference/op.cc
start line: 161
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size: 18 LOC
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number of parameters: 1

id: 119
unit: def _node_to_json()
file: tensorflow_decision_forests/component/model_plotter/model_plotter.py
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size: 17 LOC
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number of parameters: 3

id: 120
unit: def _value_to_json()
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number of parameters: 1

id: 121
unit: def set_dictionary()
file: tensorflow_decision_forests/component/builder/builder.py
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size: 17 LOC
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number of parameters: 3

id: 122
unit: def yggdrasil_model_to_keras_model()
file: tensorflow_decision_forests/keras/core.py
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size: 17 LOC
McCabe index: 2
number of parameters: 3

id: 123
unit: void Add()
file: tensorflow_decision_forests/tensorflow/ops/training/features.h
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end line: 123
size: 17 LOC
McCabe index: 3
number of parameters: 1

id: 124
unit: absl::Status CategoricalResourceOnFile::AddValueImp()
file: tensorflow_decision_forests/tensorflow/ops/training/feature_on_file.cc
start line: 131
end line: 148
size: 17 LOC
McCabe index: 4
number of parameters: 1

id: 125
unit: absl::Status TfDistributionManager::SetParallelExecutionPerWorker()
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size: 16 LOC
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number of parameters: 1

id: 126
unit: def finalize_distributed_dataset_collection()
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size: 16 LOC
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number of parameters: 4

id: 127
unit: def _get_dense_output_dim()
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size: 16 LOC
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number of parameters: 1

id: 128
unit: tf::Status CreateTrainingDatasetFromFeatures()
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number of parameters: 6

id: 129
unit: def plot_tree()
file: tensorflow_decision_forests/component/model_plotter/model_plotter.py
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number of parameters: 3

id: 130
unit: def set_core_node()
file: tensorflow_decision_forests/component/py_tree/value.py
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size: 15 LOC
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number of parameters: 2

id: 131
unit: def categorical_column_dictionary_to_list()
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size: 15 LOC
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number of parameters: 1

id: 132
unit: def _observe_branch()
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id: 133
unit: def __init__()
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id: 134
unit: def evaluate()
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id: 135
unit: def _extract_sample()
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id: 136
unit: def _parse_hp_template()
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number of parameters: 1

id: 137
unit: def __init__()
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id: 138
unit: void Compute()
file: tensorflow_decision_forests/tensorflow/ops/training/kernel.cc
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size: 15 LOC
McCabe index: 2
number of parameters: 1

id: 139
unit: void ComputeModel()
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size: 15 LOC
McCabe index: 2
number of parameters: 2

id: 140
unit: absl::Status NumericalResourceOnFile::EndImp()
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size: 15 LOC
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id: 141
unit: def _gbt_log_entry_to_evaluation()
file: tensorflow_decision_forests/component/inspector/inspector.py
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id: 142
unit: def __repr__()
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id: 143
unit: def node_to_core_node()
file: tensorflow_decision_forests/component/py_tree/node.py
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number of parameters: 2

id: 144
unit: def _import_dataspec()
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size: 14 LOC
McCabe index: 6
number of parameters: 2

id: 145
unit: utils::StatusOr TfDistributionManager::NextAsynchronousAnswer()
file: tensorflow_decision_forests/tensorflow/distribute/tf_distribution.cc
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size: 14 LOC
McCabe index: 4
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id: 146
unit: absl::Status ReadyWorker()
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id: 147
unit: def main()
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id: 148
unit: def __init__()
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id: 149
unit: tensorflow::Status YggdrasilModelContainer::LoadModel()
file: tensorflow_decision_forests/tensorflow/ops/training/kernel.cc
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size: 14 LOC
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id: 150
unit: void Add()
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size: 14 LOC
McCabe index: 3
number of parameters: 2

id: 151
unit: absl::Status CategoricalStringResourceOnFile::EndImp()
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McCabe index: 2
number of parameters: 1

id: 152
unit: def variable_importances()
file: tensorflow_decision_forests/component/inspector/inspector.py
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id: 153
unit: def core_node_to_node()
file: tensorflow_decision_forests/component/py_tree/node.py
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number of parameters: 2

id: 154
unit: def close()
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number of parameters: 1

id: 155
unit: absl::Status TfDistributionManager::AsynchronousRequest()
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size: 13 LOC
McCabe index: 3
number of parameters: 2

id: 156
unit: absl::Status TfDistributionManager::Initialize()
file: tensorflow_decision_forests/tensorflow/distribute/tf_distribution.cc
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end line: 306
size: 13 LOC
McCabe index: 2
number of parameters: 4

id: 157
unit: tf::Status CreateWorkerResource()
file: tensorflow_decision_forests/tensorflow/distribute/tf_distribution_kernel.cc
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size: 13 LOC
McCabe index: 1
number of parameters: 1

id: 158
unit: def infer_semantic_from_dataframe()
file: tensorflow_decision_forests/tensorflow/core.py
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size: 13 LOC
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number of parameters: 1

id: 159
unit: tf::Status GetOutputTypesBitmap()
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size: 13 LOC
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number of parameters: 2

id: 160
unit: explicit SimpleMLInferenceOp()
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size: 13 LOC
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number of parameters: 3

id: 161
unit: virtual tf::Status LinkModelResource()
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size: 13 LOC
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number of parameters: 1

id: 162
unit: def main()
file: tools/build_docs.py
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id: 163
unit: def to_dict()
file: tensorflow_decision_forests/component/inspector/inspector.py
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id: 164
unit: def save()
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id: 165
unit: absl::Status RemoteConnection::StopWorker()
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id: 166
unit: utils::StatusOr RunTask()
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number of parameters: 1

id: 167
unit: explicit YggdrasilDistributeRunTask()
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McCabe index: 1
number of parameters: 1

id: 168
unit: def combine_tensors_and_semantics()
file: tensorflow_decision_forests/tensorflow/core.py
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McCabe index: 3
number of parameters: 4

id: 169
unit: def build_from_dataspec_and_header()
file: tensorflow_decision_forests/tensorflow/ops/inference/api.py
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size: 12 LOC
McCabe index: 3
number of parameters: 3

id: 170
unit: tf::Status GetModelPath()
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size: 12 LOC
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number of parameters: 2

id: 171
unit: OutputLeavesTensors LinkOutputLeavesTensors()
file: tensorflow_decision_forests/tensorflow/ops/inference/kernel.cc
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size: 12 LOC
McCabe index: 2
number of parameters: 4

id: 172
unit: tf::Status EnableUserInterruption()
file: tensorflow_decision_forests/tensorflow/ops/training/kernel.cc
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size: 12 LOC
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number of parameters: 0

id: 173
unit: def label_classes()
file: tensorflow_decision_forests/component/inspector/inspector.py
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id: 174
unit: def evaluation()
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id: 175
unit: def open()
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id: 176
unit: def read()
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id: 177
unit: def column_spec_bitmap_to_items()
file: tensorflow_decision_forests/component/py_tree/condition.py
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size: 11 LOC
McCabe index: 3
number of parameters: 2

id: 178
unit: def collect_condition_parameter_and_default_evaluation()
file: tensorflow_decision_forests/component/py_tree/node.py
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size: 11 LOC
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number of parameters: 2

id: 179
unit: def _check_column_has_dictionary()
file: tensorflow_decision_forests/component/builder/builder.py
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McCabe index: 3
number of parameters: 2

id: 180
unit: def call_get_leaves()
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id: 181
unit: def _apply_hp_template()
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McCabe index: 4
number of parameters: 5

id: 182
unit: def _contains_repeat()
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id: 183
unit: def _contains_shuffle()
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id: 184
unit: def _contains_batch()
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id: 185
unit: std::string LearnerKeyToClassName()
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id: 186
unit: std::string LearnerKeyToNiceLearnerName()
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number of parameters: 1

id: 187
unit: utils::StatusOr TfDistributionManager::BlockingRequest()
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id: 188
unit: def _num_inner_dimension()
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id: 189
unit: def initialize()
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id: 190
unit: void Compute()
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id: 191
unit: absl::Status AbstractFeatureResourceOnFile::End()
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id: 192
unit: def training_logs()
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id: 193
unit: def discretized_numerical_to_numerical()
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id: 194
unit: def _reduce_per_replica()
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id: 195
unit: std::string PythonFloat()
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id: 196
unit: std::vector TfDistributionManager::CreateWorkerResourceIds()
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id: 197
unit: def column_type_to_semantic()
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id: 198
unit: def apply()
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id: 199
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id: 200
unit: void Compute()
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id: 201
unit: tf::Status DisableUserInterruption()
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id: 202
unit: absl::Status CategoricalResourceOnFile::EndImp()
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id: 203
unit: def make_inspector()
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id: 204
unit: def extract_all_trees()
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id: 205
unit: def training_logs()
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id: 206
unit: def __init__()
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id: 207
unit: def categorical_value_idx_to_value()
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id: 208
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id: 210
unit: void TfDistributionManager::ProcessLocalQueries()
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unit: void TfDistributionManager::ProcessGlobalQueries()
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unit: void TfDistributionManager::Worker::StartThreads()
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id: 213
unit: absl::Status Done()
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id: 214
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id: 218
unit: absl::Status CategoricalResourceOnFile::Begin()
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id: 219
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id: 220
unit: function display_node_text()
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id: 221
unit: function display_node_text_with_tooltip()
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id: 222
unit: def variable_importances()
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id: 223
unit: def __repr__()
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id: 224
unit: def predict_get_leaves()
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id: 225
unit: def _minimum_control_deps()
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id: 226
unit: utils::StatusOr NextAsynchronousAnswerFromOtherWorker()
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id: 227
unit: def apply_get_leaves()
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id: 228
unit: def build_from_model_path()
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id: 229
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id: 231
unit: void Add()
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id: 232
unit: absl::Status NumericalResourceOnFile::Begin()
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end line: 76
size: 8 LOC
McCabe index: 1
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id: 233
unit: def __init__()
file: tensorflow_decision_forests/component/inspector/inspector.py
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size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 234
unit: def extract_tree()
file: tensorflow_decision_forests/component/inspector/inspector.py
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size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 235
unit: def open()
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size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 236
unit: def column_spec_items_to_bitmap()
file: tensorflow_decision_forests/component/py_tree/condition.py
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size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 237
unit: def __init__()
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size: 7 LOC
McCabe index: 1
number of parameters: 4

id: 238
unit: def yggdrasil_model_path()
file: tensorflow_decision_forests/component/builder/builder.py
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end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 1

id: 239
unit: def get_dictionary()
file: tensorflow_decision_forests/component/builder/builder.py
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end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 240
unit: def summary()
file: tensorflow_decision_forests/keras/core.py
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size: 7 LOC
McCabe index: 3
number of parameters: 4

id: 241
unit: def _batch_size()
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size: 7 LOC
McCabe index: 3
number of parameters: 3

id: 242
unit: def _list_explicit_arguments()
file: tensorflow_decision_forests/keras/core.py
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size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 243
unit: def _expand_1d()
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size: 7 LOC
McCabe index: 4
number of parameters: 1

id: 244
unit: int NumLeadingSpaces()
file: tensorflow_decision_forests/keras/wrapper/wrapper.cc
start line: 30
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size: 7 LOC
McCabe index: 3
number of parameters: 1

id: 245
unit: def get_num_distribution_workers()
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size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 246
unit: def _input_key_to_id()
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McCabe index: 4
number of parameters: 3

id: 247
unit: def build_default_input_model_signature()
file: tensorflow_decision_forests/tensorflow/core.py
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end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 248
unit: void ReturnEngineCache()
file: tensorflow_decision_forests/tensorflow/ops/inference/kernel.cc
start line: 1430
end line: 1436
size: 7 LOC
McCabe index: 3
number of parameters: 1

id: 249
unit: bool HasTrainingExamples()
file: tensorflow_decision_forests/tensorflow/ops/training/kernel.cc
start line: 928
end line: 936
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 250
unit: explicit SimpleMLWorkerFinalizeFeatureOnFile()
file: tensorflow_decision_forests/tensorflow/ops/training/feature_on_file.h
start line: 306
end line: 312
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 251
unit: explicit SimpleMLChiefFinalizeFeatureOnFile()
file: tensorflow_decision_forests/tensorflow/ops/training/feature_on_file.h
start line: 328
end line: 334
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 252
unit: def __iter__()
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size: 6 LOC
McCabe index: 3
number of parameters: 1

id: 253
unit: def __init__()
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McCabe index: 1
number of parameters: 5

id: 254
unit: def __init__()
file: tensorflow_decision_forests/component/py_tree/condition.py
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size: 6 LOC
McCabe index: 1
number of parameters: 5

id: 255
unit: def __init__()
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size: 6 LOC
McCabe index: 1
number of parameters: 5

id: 256
unit: def __eq__()
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size: 6 LOC
McCabe index: 4
number of parameters: 2

id: 257
unit: def __repr__()
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McCabe index: 2
number of parameters: 1

id: 258
unit: def __eq__()
file: tensorflow_decision_forests/component/py_tree/value.py
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size: 6 LOC
McCabe index: 4
number of parameters: 2

id: 259
unit: def column_name_to_column_idx()
file: tensorflow_decision_forests/component/py_tree/dataspec.py
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end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 2

id: 260
unit: def _write_branch()
file: tensorflow_decision_forests/component/builder/builder.py
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size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 261
unit: def add_tree()
file: tensorflow_decision_forests/component/builder/builder.py
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size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 262
unit: def _ensure_model_get_leaves_ready()
file: tensorflow_decision_forests/keras/core.py
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end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 1

id: 263
unit: def _clear_function_cache()
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size: 6 LOC
McCabe index: 3
number of parameters: 1

id: 264
unit: def _build()
file: tensorflow_decision_forests/keras/core.py
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size: 6 LOC
McCabe index: 4
number of parameters: 2

id: 265
unit: def _print_timer_feed_data()
file: tensorflow_decision_forests/keras/core.py
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end line: 0
size: 6 LOC
McCabe index: 4
number of parameters: 1

id: 266
unit: def on_epoch_begin()
file: tensorflow_decision_forests/keras/core.py
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end line: 0
size: 6 LOC
McCabe index: 4
number of parameters: 3

id: 267
unit: void TfDistributionManager::JoinWorkers()
file: tensorflow_decision_forests/tensorflow/distribute/tf_distribution.cc
start line: 285
end line: 290
size: 6 LOC
McCabe index: 2
number of parameters: 0

id: 268
unit: virtual ~TfDistributionManager()
file: tensorflow_decision_forests/tensorflow/distribute/tf_distribution.h
start line: 113
end line: 118
size: 6 LOC
McCabe index: 2
number of parameters: 0

id: 269
unit: absl::Status AsynchronousRequestToOtherWorker()
file: tensorflow_decision_forests/tensorflow/distribute/tf_distribution_kernel.cc
start line: 92
end line: 97
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 270
unit: absl::Status AsynchronousRequestToOtherWorker()
file: tensorflow_decision_forests/tensorflow/distribute/tf_distribution_kernel.cc
start line: 114
end line: 119
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 271
unit: tf::Status CreateWorkerResource()
file: tensorflow_decision_forests/tensorflow/distribute/tf_distribution_kernel.cc
start line: 437
end line: 442
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 272
unit: bool IsPermanentWorkerError()
file: tensorflow_decision_forests/tensorflow/distribute/tf_distribution_common.cc
start line: 26
end line: 38
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 273
unit: def info_fail_to_load_custom_op()
file: tensorflow_decision_forests/tensorflow/check_version.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 274
unit: explicit SimpleMLLoadModelFromPathWithHandle()
file: tensorflow_decision_forests/tensorflow/ops/inference/kernel.cc
start line: 1138
end line: 1143
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 275
unit: explicit SimpleMLCreateModelResource()
file: tensorflow_decision_forests/tensorflow/ops/inference/kernel.cc
start line: 1509
end line: 1517
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 276
unit: int FeatureSet::NumFeatures()
file: tensorflow_decision_forests/tensorflow/ops/training/kernel.cc
start line: 649
end line: 654
size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 277
unit: function add_tooltip()
file: tensorflow_decision_forests/component/model_plotter/plotter.js
start line: 236
end line: 255
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 278
unit: function move()
file: tensorflow_decision_forests/component/model_plotter/plotter.js
start line: 246
end line: 250
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 279
unit: def _tree_to_json()
file: tensorflow_decision_forests/component/model_plotter/model_plotter.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 280
unit: def features()
file: tensorflow_decision_forests/component/inspector/inspector.py
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size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 281
unit: def __init__()
file: tensorflow_decision_forests/component/inspector/inspector.py
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size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 282
unit: def evaluation()
file: tensorflow_decision_forests/component/inspector/inspector.py
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size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 283
unit: def __init__()
file: tensorflow_decision_forests/component/inspector/inspector.py
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size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 284
unit: def bias()
file: tensorflow_decision_forests/component/inspector/inspector.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 285
unit: def _read_binary_proto()
file: tensorflow_decision_forests/component/inspector/inspector.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 286
unit: def __init__()
file: tensorflow_decision_forests/component/inspector/blob_sequence.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 287
unit: def __init__()
file: tensorflow_decision_forests/component/inspector/blob_sequence.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 288
unit: def __init__()
file: tensorflow_decision_forests/component/py_tree/condition.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 4

id: 289
unit: def __eq__()
file: tensorflow_decision_forests/component/py_tree/condition.py
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end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 2

id: 290
unit: def __init__()
file: tensorflow_decision_forests/component/py_tree/value.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 291
unit: def __eq__()
file: tensorflow_decision_forests/component/py_tree/value.py
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end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 2

id: 292
unit: def __init__()
file: tensorflow_decision_forests/component/py_tree/tree.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 293
unit: def __eq__()
file: tensorflow_decision_forests/component/py_tree/objective.py
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size: 5 LOC
McCabe index: 4
number of parameters: 2

id: 294
unit: def on_epoch_end()
file: tensorflow_decision_forests/keras/core.py
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end line: 0
size: 5 LOC
McCabe index: 4
number of parameters: 3

id: 295
unit: def get_all_models()
file: tensorflow_decision_forests/keras/__init__.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 296
unit: void FinalizeIntraWorkerCommunication()
file: tensorflow_decision_forests/tensorflow/distribute/tf_distribution_kernel.cc
start line: 190
end line: 194
size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 297
unit: def _execute_function_on_each_worker()
file: tensorflow_decision_forests/tensorflow/core.py
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size: 5 LOC
McCabe index: 3
number of parameters: 2

id: 298
unit: def init_op()
file: tensorflow_decision_forests/tensorflow/ops/inference/api.py
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size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 299
unit: def _all_feature_idxs()
file: tensorflow_decision_forests/tensorflow/ops/inference/api.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 300
unit: explicit SimpleMLLoadModelFromPath()
file: tensorflow_decision_forests/tensorflow/ops/inference/kernel.cc
start line: 1087
end line: 1091
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 301
unit: void Compute()
file: tensorflow_decision_forests/tensorflow/ops/training/kernel.cc
start line: 1022
end line: 1026
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 302
unit: explicit YggdrasilDecisionForestsSetLoggingLevel()
file: tensorflow_decision_forests/tensorflow/ops/training/kernel.cc
start line: 1038
end line: 1042
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 303
unit: void non_mutex_protected_clear()
file: tensorflow_decision_forests/tensorflow/ops/training/features.h
start line: 138
end line: 142
size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 304
unit: explicit Feature()
file: tensorflow_decision_forests/tensorflow/ops/training/features.h
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end line: 165
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 305
unit: tf::Status CreateDoneFile()
file: tensorflow_decision_forests/tensorflow/ops/training/feature_on_file.cc
start line: 37
end line: 41
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 306
unit: bool HasDoneFile()
file: tensorflow_decision_forests/tensorflow/ops/training/feature_on_file.cc
start line: 43
end line: 47
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 307
unit: absl::Status AbstractFeatureResourceOnFile::AddValue()
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size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 308
unit: def finalize_options()
file: configure/setup.py
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size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 309
unit: function show()
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McCabe index: 1
number of parameters: 1

id: 310
unit: def _create_node_reader()
file: tensorflow_decision_forests/component/inspector/inspector.py
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McCabe index: 2
number of parameters: 2

id: 311
unit: def close()
file: tensorflow_decision_forests/component/inspector/blob_sequence.py
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McCabe index: 1
number of parameters: 1

id: 312
unit: def close()
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McCabe index: 1
number of parameters: 1

id: 313
unit: def __eq__()
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McCabe index: 2
number of parameters: 2

id: 314
unit: def __init__()
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McCabe index: 1
number of parameters: 3

id: 315
unit: def __eq__()
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McCabe index: 2
number of parameters: 2

id: 316
unit: def __eq__()
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McCabe index: 3
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id: 317
unit: def __eq__()
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McCabe index: 3
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id: 318
unit: def make_simple_column_spec()
file: tensorflow_decision_forests/component/py_tree/dataspec.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 319
unit: def __init__()
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McCabe index: 2
number of parameters: 2

id: 320
unit: def __eq__()
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McCabe index: 2
number of parameters: 2

id: 321
unit: def __eq__()
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size: 4 LOC
McCabe index: 3
number of parameters: 2

id: 322
unit: def add_tree()
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size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 323
unit: def check_leaf()
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size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 324
unit: def _write_scalar_summaries()
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McCabe index: 3
number of parameters: 2

id: 325
unit: int main()
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McCabe index: 1
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id: 326
unit: void TfDistributionManager::WorkerRun()
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end line: 138
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 327
unit: utils::StatusOr NextAsynchronousAnswerFromOtherWorker()
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size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 328
unit: explicit YggdrasilDistributeRunInterWorkerTask()
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end line: 405
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 329
unit: explicit YggdrasilDistributeStopWorker()
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McCabe index: 1
number of parameters: 1

id: 330
unit: tf::Status LinkModelResource()
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McCabe index: 1
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id: 331
unit: tf::Status LinkModelResource()
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McCabe index: 1
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id: 332
unit: Status SimpleMLInferenceOpSetShapeLeafIndex()
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McCabe index: 1
number of parameters: 1

id: 333
unit: Status ScalarOutput()
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end line: 231
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 334
unit: explicit SimpleMLFileModelLoader()
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size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 335
unit: explicit AbstractSimpleMLModelOp()
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McCabe index: 1
number of parameters: 1

id: 336
unit: explicit SimpleMLUnloadModel()
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McCabe index: 1
number of parameters: 1

id: 337
unit: explicit MultiValueRaggedFeatureResource()
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McCabe index: 1
number of parameters: 1

id: 338
unit: void non_mutex_protected_clear()
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McCabe index: 1
number of parameters: 0

id: 339
unit: function hide()
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McCabe index: 1
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id: 340
unit: def plot_model_in_colab()
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 341
unit: def _make_simple_column_spec()
file: tensorflow_decision_forests/component/inspector/inspector.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 342
unit: def write()
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 343
unit: def __repr__()
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 344
unit: def __init__()
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McCabe index: 1
number of parameters: 2

id: 345
unit: def __repr__()
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McCabe index: 1
number of parameters: 1

id: 346
unit: def __repr__()
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McCabe index: 1
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id: 347
unit: def __repr__()
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McCabe index: 1
number of parameters: 1

id: 348
unit: def __repr__()
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McCabe index: 1
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unit: def __init__()
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size: 3 LOC
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id: 350
unit: def collect_condition_parameter_and_default_evaluation()
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size: 3 LOC
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id: 351
unit: def __init__()
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id: 352
unit: def label_value_idx_to_value()
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size: 3 LOC
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id: 353
unit: def __repr__()
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size: 3 LOC
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id: 354
unit: def __init__()
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id: 355
unit: def _write_binary_proto()
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size: 3 LOC
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id: 356
unit: def make_inspector()
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size: 3 LOC
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id: 357
unit: def compile()
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id: 358
unit: def _is_per_replica_instance()
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size: 3 LOC
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id: 359
unit: def capabilities()
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size: 3 LOC
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id: 360
unit: def capabilities()
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id: 361
unit: def capabilities()
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id: 362
unit: def capabilities()
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id: 363
unit: def set_training_logs_redirection()
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id: 364
unit: def _create_resource()
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id: 365
unit: tf::Status TfStatusInvalidArgument()
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id: 366
unit: explicit SimpleMLInferenceLeafIndexOpWithHandle()
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size: 3 LOC
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id: 367
unit: Status SimpleMLInferenceOpSetShape()
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id: 368
unit: void Compute()
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id: 369
unit: std::string DebugString()
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id: 370
unit: T Identity()
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id: 371
unit: explicit SimpleMLCategoricalStringFeature()
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id: 372
unit: explicit SimpleMLCategoricalSetStringFeature()
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id: 373
unit: explicit SimpleMLCategoricalSetIntFeature()
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size: 3 LOC
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id: 374
unit: inline uint64_t hasher()
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id: 375
unit: std::string DebugString()
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size: 3 LOC
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id: 376
unit: explicit SimpleMLCategoricalIntFeatureOnFile()
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size: 3 LOC
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id: 377
unit: explicit SimpleMLCategoricalStringFeatureOnFile()
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size: 3 LOC
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id: 378
unit: tensorflow::int64 MemoryUsed()
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size: 3 LOC
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id: 379
unit: def has_ext_modules()
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id: 380
unit: def is_pure()
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id: 381
unit: def model_type()
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id: 382
unit: def task()
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id: 383
unit: def label()
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id: 384
unit: def evaluation()
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id: 385
unit: def training_logs()
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size: 2 LOC
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id: 386
unit: def dataspec()
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id: 387
unit: def header()
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id: 388
unit: def metadata()
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id: 389
unit: def num_trees()
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size: 2 LOC
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id: 390
unit: def specialized_header()
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id: 391
unit: def model_type()
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id: 392
unit: def specialized_header()
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id: 393
unit: def winner_take_all_inference()
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id: 394
unit: def model_type()
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unit: def specialized_header()
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unit: def num_trees_per_iter()
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unit: def loss()
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unit: def _extract_branch()
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unit: def _variable_importance_dict_to_list()
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unit: def __exit__()
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unit: def missing_evaluation()
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unit: def __repr__()
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unit: def __repr__()
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unit: def threshold()
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unit: def mask()
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id: 419
unit: def features()
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id: 422
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id: 423
unit: def weights()
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id: 424
unit: def threshold()
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id: 425
unit: def probability()
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id: 426
unit: def num_examples()
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id: 427
unit: def __repr__()
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id: 428
unit: def value()
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id: 429
unit: def standard_deviation()
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id: 430
unit: def num_examples()
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id: 431
unit: def root()
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id: 432
unit: def label_classes()
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id: 433
unit: def numerical_higher_than()
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id: 434
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id: 435
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id: 437
unit: def leaf_idx()
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id: 438
unit: def leaf_idx()
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id: 439
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unit: def neg_child()
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