code: def hpo_pipeline_from_path(
      path: Union[str, pathlib.Path], **kwargs
  ) -> HpoPipelineResult:
      """Run a HPO study from the configuration at the given path."""
      with open(path) as file:
          config = json.load(file)
      return hpo_pipeline_from_config(config, **kwargs)
  
imports: import dataclasses
  import ftplib
  import inspect
  import json
  import logging
  import os
  import pathlib
  from dataclasses import dataclass
  from typing import Any, Callable, Collection, Dict, Iterable, Mapping, Optional, Type, Union, cast
  import torch
  from class_resolver.contrib.optuna import pruner_resolver, sampler_resolver
  from optuna import Study, Trial, TrialPruned, create_study
  from optuna.pruners import BasePruner
  from optuna.samplers import BaseSampler
  from optuna.storages import BaseStorage
  from ..constants import USER_DEFINED_CODE
  from ..datasets import dataset_resolver, has_dataset
  from ..datasets.base import Dataset
  from ..evaluation import Evaluator, evaluator_resolver
  from ..losses import Loss, loss_resolver
  from ..lr_schedulers import LRScheduler, lr_scheduler_resolver, lr_schedulers_hpo_defaults
  from ..models import Model, model_resolver
  from ..optimizers import Optimizer, optimizer_resolver, optimizers_hpo_defaults
  from ..pipeline import pipeline, replicate_pipeline_from_config
  from ..regularizers import Regularizer, regularizer_resolver
  from ..sampling import NegativeSampler, negative_sampler_resolver
  from ..stoppers import EarlyStopper, Stopper, stopper_resolver
  from ..trackers import ResultTracker, tracker_resolver
  from ..training import SLCWATrainingLoop, TrainingLoop, training_loop_resolver
  from ..triples import CoreTriplesFactory
  from ..typing import Hint, HintType
  from ..utils import Result, ensure_ftp_directory, fix_dataclass_init_docs, get_df_io, get_json_bytes_io, normalize_path
  from ..version import get_git_hash, get_version
label_desc: Use image node_id 1 for calling a global function with example usage: hpo_pipeline_from_path(path) and returns: hpo_pipeline_from_config