# Path: ldif/inference/util.py
# def parse_xid_str(xidstr):
# def ensure_split_valid(split):
# def ensure_category_valid(category):
# def ensure_synset_valid(synset):
# def ensure_hash_valid(h):
# def parse_xid_to_ckpt(xid_to_ckpt):
# def get_npz_paths(split, category, modifier=''):
# def get_mesh_identifiers(split, category):
# def get_rgb_paths(split, category, modifier=''):
# def rgb_path_to_synset_and_hash(rgb_path):
# def rgb_path_to_npz_path(rgb_path, split, dataset='shapenet-occnet'):
# def parse_npz_path(path):
# def read_png_to_float_npy_with_reraising(path):
# 
# Path: ldif/util/file_util.py
# def readlines(p):
# def readbin(p):
# def writebin(p, s):
# def writetxt(p, s):
# def write_np(path, arr):
# def read_grd(path):
# def read_sif_v1(path, verbose=False):
# def read_lines(p):
# def read_image(p):
# def read_npz(p):
# def read_np(p):
# def read_txt_to_np(p):
# def read_py2_pkl(p):
# def write_mesh(path, mesh):
# def read_mesh(path):
# def read_csv(path):
# def read_normals(path_to_dir, im_count=20, leading='_depth'):
# def write_points(path_ext_optional, points):
# def write_grd(path, volume, world2grid=None):
# def write_depth_image(path, depth_image):
# 
# Path: ldif/util/file_util.py
# def readlines(p):
# def readbin(p):
# def writebin(p, s):
# def writetxt(p, s):
# def write_np(path, arr):
# def read_grd(path):
# def read_sif_v1(path, verbose=False):
# def read_lines(p):
# def read_image(p):
# def read_npz(p):
# def read_np(p):
# def read_txt_to_np(p):
# def read_py2_pkl(p):
# def write_mesh(path, mesh):
# def read_mesh(path):
# def read_csv(path):
# def read_normals(path_to_dir, im_count=20, leading='_depth'):
# def write_points(path_ext_optional, points):
# def write_grd(path, volume, world2grid=None):
# def write_depth_image(path, depth_image):


from absl import app
from absl import flags
from ldif.inference import util as inference_util
from ldif.util import file_util
from ldif.util.file_util import log
import pandas as pd
import tabulate
#     https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# Lint as: python3
"""Prints a merged summary table from a variety of XIDs."""



# LDIF is an internal package, should be imported last.
# pylint: disable=g-bad-import-order
# pylint: enable=g-bad-import-order


FLAGS = flags.FLAGS

flags.DEFINE_string('input_dir', None, 'The input directory with results.')
flags.mark_flag_as_required('input_dir')

flags.DEFINE_string('xids', None, 'The XIDs to evaluate on.')
flags.mark_flag_as_required('xids')


def main(argv):
  if len(argv) > 1:
    raise app.UsageError('Too many command-line arguments.')


# Path: ldif/inference/util.py
# def parse_xid_str(xidstr):
# def ensure_split_valid(split):
# def ensure_category_valid(category):
# def ensure_synset_valid(synset):
# def ensure_hash_valid(h):
# def parse_xid_to_ckpt(xid_to_ckpt):
# def get_npz_paths(split, category, modifier=''):
# def get_mesh_identifiers(split, category):
# def get_rgb_paths(split, category, modifier=''):
# def rgb_path_to_synset_and_hash(rgb_path):
# def rgb_path_to_npz_path(rgb_path, split, dataset='shapenet-occnet'):
# def parse_npz_path(path):
# def read_png_to_float_npy_with_reraising(path):
# 
# Path: ldif/util/file_util.py
# def readlines(p):
# def readbin(p):
# def writebin(p, s):
# def writetxt(p, s):
# def write_np(path, arr):
# def read_grd(path):
# def read_sif_v1(path, verbose=False):
# def read_lines(p):
# def read_image(p):
# def read_npz(p):
# def read_np(p):
# def read_txt_to_np(p):
# def read_py2_pkl(p):
# def write_mesh(path, mesh):
# def read_mesh(path):
# def read_csv(path):
# def read_normals(path_to_dir, im_count=20, leading='_depth'):
# def write_points(path_ext_optional, points):
# def write_grd(path, volume, world2grid=None):
# def write_depth_image(path, depth_image):
# 
# Path: ldif/util/file_util.py
# def readlines(p):
# def readbin(p):
# def writebin(p, s):
# def writetxt(p, s):
# def write_np(path, arr):
# def read_grd(path):
# def read_sif_v1(path, verbose=False):
# def read_lines(p):
# def read_image(p):
# def read_npz(p):
# def read_np(p):
# def read_txt_to_np(p):
# def read_py2_pkl(p):
# def write_mesh(path, mesh):
# def read_mesh(path):
# def read_csv(path):
# def read_normals(path_to_dir, im_count=20, leading='_depth'):
# def write_points(path_ext_optional, points):
# def write_grd(path, volume, world2grid=None):
# def write_depth_image(path, depth_image):


# Path: ldif/results/print_from_summary.py
from absl import app
from absl import flags
from ldif.inference import util as inference_util
from ldif.util import file_util
from ldif.util.file_util import log
import pandas as pd
import tabulate

#     https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# Lint as: python3
"""Prints a merged summary table from a variety of XIDs."""



# LDIF is an internal package, should be imported last.
# pylint: disable=g-bad-import-order
# pylint: enable=g-bad-import-order


FLAGS = flags.FLAGS

flags.DEFINE_string('input_dir', None, 'The input directory with results.')
flags.mark_flag_as_required('input_dir')

flags.DEFINE_string('xids', None, 'The XIDs to evaluate on.')
flags.mark_flag_as_required('xids')


def main(argv):
  if len(argv) > 1:
    raise app.UsageError('Too many command-line arguments.')


  xids = inference_util.parse_xid_str(FLAGS.xids)