min_value_threshold = 1
max_value_threshold = np.inf
min_area_threshold = 5
max_area_threshold = np.inf
footprint = None
sort_by = "area"
sort_decreasing = True
label_name = "label"

### Label xarray object
xr_obj = da.ximage.label(
    min_value_threshold=min_value_threshold,
    max_value_threshold=max_value_threshold,
    min_area_threshold=min_area_threshold,
    max_area_threshold=max_area_threshold,
    footprint=footprint,
    sort_by=sort_by,
    sort_decreasing=sort_decreasing,
    label_name=label_name,
)

# Output Options
n_patches = 10
n_labels = None
labels_id = None
highlight_label_id = False
# Patch Extraction Options
patch_size = (100, 100)
centered_on = "label_bbox"
padding = 0
n_patches_per_label = np.Inf
n_patches_per_partition = 1
# Tiling/Sliding Options
partitioning_method = None # "tiling" / "sliding"
n_partitions_per_label = None
kernel_size = None
buffer = 0
stride = None
include_last = True
ensure_slice_size = True
debug = True
verbose = True

da_patch_gen = xr_obj.ximage.label_patches(
    label_name=label_name,
    patch_size=patch_size,
    variable=variable,
    # Output Options
    n_patches=n_patches,
    n_labels=n_labels,
    labels_id=labels_id,
    highlight_label_id=highlight_label_id,
    # Patch Extraction Options
    centered_on=centered_on,
    padding=padding,
    n_patches_per_label=n_patches_per_label,
    n_patches_per_partition=n_patches_per_partition,
    # Tiling/Sliding Options
    partitioning_method=partitioning_method,
    n_partitions_per_label=n_partitions_per_label,
    kernel_size=kernel_size,
    buffer=buffer,
    stride=stride,
    include_last=include_last,
    ensure_slice_size=ensure_slice_size,
    debug=debug,
    verbose=verbose,
)