Functions — github.com/CLAIRE-Labo/EvoTune

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Functions159 in github.com/CLAIRE-Labo/EvoTune

⨍ Functions 159◇ Types & classes 12

↓ 1 callersFunctionmain

(cfg: DictConfig)

src/experiments/main.py:69

↓ 1 callersFunctionparse_arguments

()

src/packing/train/train.py:114

↓ 1 callersFunctionperturb_place_block_in_middle

(instance, block_in_middle_size_l, block_in_middle_size_r)

src/packing/evaluate/flat_pack/generate_perturbed_instances.py:7

↓ 1 callersFunctionprepare_dpo_chats

(cfg, dpo_chats, running_dict)

src/packing/train/dpo/dpo.py:10

↓ 1 callersFunctionprograms_to_prompt

Given a list of programs and their scores, construct a prompt.

src/packing/model/prompt.py:31

↓ 1 callersFunctionprograms_to_prompt_creative

Given a list of programs and their scores, construct a prompt that encourages creative solutions.

src/packing/model/prompt.py:8

↓ 1 callersMethodregister_program

Registers `program` in the database.

src/packing/funsearch/programs_database.py:95

↓ 1 callersFunctionregister_programs

( cfg, running_dict, passed_classes, failed_classes, programdatabase,

src/packing/logging/logging.py:139

↓ 1 callersMethodrun

Starts the child process and sets up a timer for time limit and a MemoryWatcher for memory limit.

src/packing/parallel/stoppable_task.py:113

↓ 1 callersMethodsample_program

Samples a program, giving higher probability to shorther programs.

src/packing/funsearch/programs_database.py:281

↓ 1 callersFunctionsave_failed_func_class_to_file

(cfg, result_function_class: FunctionClass, filename="failed_programs.txt")

src/packing/logging/log_to_file.py:52

↓ 1 callersFunctionsave_in_logsdir

( logs_dir, running_dict, programdatabase, dpo_chats, round_num,

src/packing/logging/log_to_file.py:85

↓ 1 callersFunctionsave_pd_to_file

(cfg, programdatabase, round_num)

src/packing/logging/log_to_file.py:72

↓ 1 callersFunctionseparate_imports_from_func

(func_str)

src/packing/utils/functions.py:122

↓ 1 callersFunctionserialize

(function_class)

src/packing/logging/log_to_file.py:10

↓ 1 callersFunctionset_memory_limit

Set a hard memory limit for the process.

src/packing/parallel/stoppable_task.py:30

↓ 1 callersFunctionsolve

(inst: TSPInstance, heuristics)

src/packing/evaluate/tsp/task_tsp.py:270

↓ 1 callersMethodstop

(self)

src/packing/parallel/memory_watcher.py:43

↓ 1 callersFunctiontrain_model

( cfg, running_dict, model_name, full_model_name, model_adapter_dir,

src/packing/train/train.py:15

FunctionConsumer

Consumer process that evaluates functions from thefunction_classes_to_eval queue.

src/packing/parallel/continuous_execution.py:243

FunctionProducer

Producer process that generates functions and puts them in the function_classes_to_eval queue.

src/packing/parallel/continuous_execution.py:142

Method__call__

Generates an environment state from the preloaded dataset. Args: key: PRNGKey. Returns: A `S

src/packing/evaluate/flat_pack/custom_generators.py:45

Method__enter__

Allows usage like: with StoppableTask(...) as task: task.run() # ... so that cleanup is g

src/packing/parallel/stoppable_task.py:97

Method__exit__

Ensures we stop/terminate if this goes out of scope or an exception is raised.

src/packing/parallel/stoppable_task.py:107

Method__init__

( self, config, )

src/packing/funsearch/programs_database.py:50

Method__init__

( self, functions_per_prompt: int, temp_sampling_flag: bool, temp: float,

src/packing/funsearch/programs_database.py:157

Method__init__

(self, score, program)

src/packing/funsearch/programs_database.py:264

Method__init__

(self)

src/packing/evaluate/registry.py:5

Method__init__

Initialize the generator by loading instances from a file. Args: instance_file: Path to a JSON file containing pre-g

src/packing/evaluate/flat_pack/custom_generators.py:21

Method__init__

(self, positions: npt.NDArray[np.float_], adjacency: npt.NDArray[np.float_])

src/packing/evaluate/tsp/tsp_generate_dataset.py:48

Method__init__

(self, task_id, pid, mem_limit_bytes, callback_on_exceed, check_interval=1.0)

src/packing/parallel/memory_watcher.py:13

Method__init__

Initialize a stoppable task that will run evaluate_func in a subprocess. Args: cfg: Configuration object

src/packing/parallel/stoppable_task.py:62

Method__init__

(self)

src/packing/train/dpo/dpo_dataset.py:14

Method__len__

(self)

src/packing/train/dpo/dpo_dataset.py:193

Method__setattr__

(self, name, value)

src/packing/logging/function_class.py:16

Method__setattr__

(self, name, value)

src/packing/logging/function_class.py:62

Method_timeout_handler

Called by self.timer when time is up.

src/packing/parallel/stoppable_task.py:234

Functionall_equal

Computes heuristic Q-values all equal for all valid (block, rotation, row, col) placements. Args: current_grid: Grid representin

src/packing/evaluate/flat_pack/initial_functions.py:4

Functionassert_picklable

(obj, obj_name)

src/packing/parallel/stoppable_task.py:16

Functionevaluate_on_dataset

( cfg, running_dict, round_num, evaluate_func, programdatabase,

src/packing/parallel/continuous_execution.py:662

Functionexecute_program

The target function for the subprocess. We wrap the user function in a try/except to handle errors.

src/packing/parallel/stoppable_task.py:37

Functiongenerate_random_seed

Generate a random seed.

src/packing/utils/seeding.py:7

Methodget_best_score

(self)

src/packing/funsearch/programs_database.py:143

Functionget_initial_func

(cfg)

src/packing/evaluate/bin_packing/task_bin.py:10

Methodget_prompt

Returns a prompt containing implementations from one chosen island.

src/packing/funsearch/programs_database.py:70

Methodgroup_functions_by_prompt

(functions)

src/packing/train/dpo/dpo_dataset.py:133

Functionheuristic_flatpack

Computes heuristic Q-values for all valid (block, rotation, row, col) placements. Args: current_grid: Grid representing the curr

src/packing/evaluate/flat_pack/initial_functions.py:49

Functionkill_process

(pid)

src/packing/model/model.py:698

Functionmake_tgi_request

(cfg, chat, port)

src/packing/model/model.py:309

Functionmake_vllm_request

Send chat request to a vLLM server running on localhost:<port>. Args: cfg: A config object that contains, at minimum, `full_model_na

src/packing/model/model.py:322

Functionpriority

Computes values for all valid (block, rotation, row-2, col-2) placements. Larger values get prioritized. Arg

src/packing/evaluate/flat_pack/task_flat_pack.py:31

Functionpriority

Returns priority with which we want to add item to each bin. Args: item: Size of item to be added to the bin.

src/packing/evaluate/bin_packing/task_bin.py:13

Functionrandom_q_function

Generates completely random Q-values for all (block, rotation, row, col) placements. Args: current_grid: Grid representing the c

src/packing/evaluate/flat_pack/initial_functions.py:104

Methodregister_program

Adds `program` to the cluster.

src/packing/funsearch/programs_database.py:274

Methodscore

Reduced score of the signature that this cluster represents.

src/packing/funsearch/programs_database.py:270

Functionsingle_thread_generation

(chat, model, tokenizer, sampling_params, gpu_num, idx)

src/packing/model/model.py:247

Functionstring_to_function

Convert a string representation of a Python function into an actual Python function. Parameters: func_str (str): The string representati

src/packing/utils/functions.py:25

Methodtotal_num_programs

(self)

src/packing/funsearch/programs_database.py:150

Functionwandb_log_plot

(cfg, data, wandb_name, title, xlabel, ylabel, plot_type='hist', **kwargs)

src/packing/logging/logging.py:365

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