remove unused functions

fastai/dataset.py

@@ -73,47 +73,6 @@ def read_dirs(path, folder):
                 labels.append(label)
     return filenames, labels, all_labels
 
-def create_sample(path, r):
-    """ Takes a path to a dataset and creates a sample of specified size at <path>_sample
-
-    Parameters:
-    -----------
-    path: dataset path
-    r (float): proportion of examples to use as sample, in the range from 0 to 1
-    """
-    sample_path = path + '_sample'
-    shutil.rmtree(sample_path, ignore_errors=True)
-    subdirs = [os.path.split(p)[1] for p in glob(os.path.join(path, '*'))]
-    copy_or_move_with_subdirs(subdirs, path, sample_path, r, move=False)
-
-def create_val(path, r):
-    """ Takes a path to a dataset and creates a validation set of specified size
-
-    Note - this changes the dataset at <path> by moving files to the val set
-
-    Parameters:
-    -----------
-    path: dataset path
-    r (float): proportion of examples to use for validation, in the range from 0 to 1
-
-    """
-    val_path = os.path.join(os.path.split(path)[0], 'valid')
-    subdirs = [os.path.split(p)[1] for p in glob(os.path.join(path, '*'))]
-    copy_or_move_with_subdirs(subdirs, path, val_path, r, move=True)
-
-def copy_or_move_with_subdirs(subdir_lst, src, dst, r, move=False):
-    '''
-    Copy or move subdirectory of folders from source to destination.
-    r: no fucking clue
-    '''
-    do = shutil.move if move else shutil.copy
-    for subdir in subdir_lst:
-        os.makedirs(os.path.join(dst, subdir))
-        files = glob(os.path.join(src, subdir, '*'))
-        np.random.shuffle(files)
-        for f in files[:int(len(files) * r)]:
-            do(f, os.path.join(dst, subdir, os.path.split(f)[1]))
-
 def n_hot(ids, c):
     '''
     one hot encoding by index. Returns array of length c, where all entries are 0, except for the indecies in ids