code stringlengths 3 6.57k |
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NA_Syndra_Jng_TwistedFate(Ratings) |
NA_Syndra_Jng_Twitch(Ratings) |
NA_Syndra_Jng_Udyr(Ratings) |
NA_Syndra_Jng_Urgot(Ratings) |
NA_Syndra_Jng_Varus(Ratings) |
NA_Syndra_Jng_Vayne(Ratings) |
NA_Syndra_Jng_Veigar(Ratings) |
NA_Syndra_Jng_Velkoz(Ratings) |
NA_Syndra_Jng_Vi(Ratings) |
NA_Syndra_Jng_Viktor(Ratings) |
NA_Syndra_Jng_Vladimir(Ratings) |
NA_Syndra_Jng_Volibear(Ratings) |
NA_Syndra_Jng_Warwick(Ratings) |
NA_Syndra_Jng_Xayah(Ratings) |
NA_Syndra_Jng_Xerath(Ratings) |
NA_Syndra_Jng_XinZhao(Ratings) |
NA_Syndra_Jng_Yasuo(Ratings) |
NA_Syndra_Jng_Yorick(Ratings) |
NA_Syndra_Jng_Zac(Ratings) |
NA_Syndra_Jng_Zed(Ratings) |
NA_Syndra_Jng_Ziggs(Ratings) |
NA_Syndra_Jng_Zilean(Ratings) |
NA_Syndra_Jng_Zyra(Ratings) |
open('README.md') |
read() |
find_packages() |
ActiveLearningLoop(Loop) |
requires("baal") |
__init__(self, label_epoch_frequency: int, inference_iteration: int = 2, should_reset_weights: bool = True) |
trainer.fit(model, labelled data) |
trainer.predict(model, unlabelled data) |
heuristic(predictions) |
super() |
__init__() |
Progress() |
done(self) |
connect(self, fit_loop: FitLoop) |
on_run_start(self, *args: Any, **kwargs: Any) |
isinstance(self.trainer.datamodule, ActiveLearningDataModule) |
deepcopy(self._lightning_module.state_dict() |
InferenceMCDropoutTask(self._lightning_module, self.inference_iteration) |
reset(self) |
on_advance_start(self, *args: Any, **kwargs: Any) |
self._reset_dataloader_for_stage(RunningStage.TRAINING) |
self._reset_dataloader_for_stage(RunningStage.VALIDATING) |
self._reset_dataloader_for_stage(RunningStage.TESTING) |
self._reset_dataloader_for_stage(RunningStage.PREDICTING) |
self.progress.increment_ready() |
advance(self, *args: Any, **kwargs: Any) |
self.progress.increment_started() |
self.fit_loop.run() |
self._reset_testing() |
self.trainer.test_loop.run() |
self.trainer.logger.log_metrics(metrics[0], step=self.trainer.global_step) |
self._reset_predicting() |
self.trainer.predict_loop.run() |
self.trainer.datamodule.label(probabilities=probabilities) |
self._reset_fitting() |
self.progress.increment_processed() |
on_advance_end(self) |
self._lightning_module.load_state_dict(self._model_state_dict) |
self.progress.increment_completed() |
super() |
on_advance_end() |
on_run_end(self) |
self._reset_fitting() |
super() |
on_run_end() |
on_save_checkpoint(self) |
self.trainer.datamodule.state_dict() |
on_load_checkpoint(self, state_dict) |
self.trainer.datamodule.load_state_dict(state_dict.pop("datamodule_state_dict") |
__getattr__(self, key) |
getattr(self.fit_loop, key) |
_reset_fitting(self) |
self.trainer.lightning_module.on_train_dataloader() |
self.trainer.accelerator.connect(self._lightning_module) |
Progress() |
_reset_predicting(self) |
self.trainer.lightning_module.on_predict_dataloader() |
self.trainer.accelerator.connect(self.inference_model) |
_reset_testing(self) |
self.trainer.lightning_module.on_test_dataloader() |
self.trainer.accelerator.connect(self._lightning_module) |
_reset_dataloader_for_stage(self, running_state: RunningStage) |
getattr(self.trainer.datamodule, dataloader_name, None) |
_PatchDataLoader(dataloader() |
setattr(self.trainer, dataloader_name, None) |
getattr(self.trainer, f"reset_{dataloader_name}") |
open("GUI_functions/Cluster_details.bin", "rb") |
list(pickle.load(input_file) |
input_file.close() |
open("GUI_functions/Tasks_details.bin", "rb") |
list(pickle.load(input_file) |
input_file.close() |
open("GUI_functions/asp.lp", 'w') |
asp_file.write("#include <incmode>. \n") |
asp_file.write("#program base. \n") |
asp_file.write("% A dynamically generated program.\n") |
asp_file.write("% Made by build_asp.py using the data structures stored in Cluster_details.bin and Tasks_details.bin\n") |
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