original_docstring: processes the Kaggle mushroom image classification dataset
docstring: processes the Kaggle mushroom image classification dataset
docstring_tokens: processes the Kaggle mushroom image classification dataset
code: def kaggle_mushrooms(path, transform):
      """processes the Kaggle mushroom image classification dataset"""
      # Discover training samples
      dataset_items, classnames = _dataset_primer(path=path)
  
      # Shuffle and split
      np.random.shuffle(dataset_items)
      train_idx, train_count, test_idx, test_count = constant_ratio_split(dataset_items, classnames, ratio=0.8)
      train_set = MushroomDataset(items=[dataset_items[i] for i in train_idx],
                                  transform=transform, classnames=classnames)
      test_set = MushroomDataset(items=[dataset_items[i] for i in test_idx],
                                 transform=transform, classnames=classnames)
  
      return train_set, train_count, test_set, test_count
code_tokens: def kaggle_mushrooms ( path , transform ) : dataset_items , classnames = _dataset_primer ( path = path ) np . random . shuffle ( dataset_items ) train_idx , train_count , test_idx , test_count = constant_ratio_split ( dataset_items , classnames , ratio = 0.8 ) train_set = MushroomDataset ( items = [ dataset_items [ i ] for i in train_idx ] , transform = transform , classnames = classnames ) test_set = MushroomDataset ( items = [ dataset_items [ i ] for i in test_idx ] , transform = transform , classnames = classnames ) return train_set , train_count , test_set , test_count
short_docstring: processes the Kaggle mushroom image classification dataset
short_docstring_tokens: processes the Kaggle mushroom image classification dataset
comment: """processes the Kaggle mushroom image classification dataset"""$SEP$# Discover training samples$SEP$# Shuffle and split