# Path: crayimage/runutils/io.py
# def load_index(index_file, root):
#   """
#   Loads runs defined bu the provided index file.
#   Index file is a definition of runs.
# 
#   :param index_file: path to the index file.
#     It can be:
#       1. a path on your local filesystem,
#       2. a path relative to the data root,
#       3. a name of predefined index file.
# 
#     The file is searched in the described above order.
#   :param root: path to the data root
#   :return: list of Run objects defined by the index file.
#   """
#   spec = get_index_file(index_file, root)
# 
#   runs = dict()
#   for run in spec:
#     if type(spec[run]['path']) is list:
#       paths = np.array([
#         osp.normpath(item)
#         for item in spec[run]['path']
#       ])
#     else:
#       paths = get_run_paths(root, spec[run]['path'])
# 
#     timestamps = extract_from_paths(paths, spec[run]['timestamp'], long)
# 
#     sorting_index = np.argsort(timestamps)
# 
#     info = dict()
#     for k in spec[run]['info']:
#       info[k] = extract_from_paths(paths, spec[run]['info'][k])[sorting_index]
# 
#     runs[run] = Run(
#       paths=paths[sorting_index],
#       timestamps=timestamps[sorting_index],
#       source=spec[run]['source'],
#       image_type=spec[run]['type'],
#       meta_info=info,
#       run_info=spec[run].get('run_info', None),
#       index_info=spec[run],
#       name=run,
#       data_root=root
#     )
# 
#   return runs
# 
# Path: crayimage/runutils/run_utils.py
# def slice_filter_run(run, predicates, fractions, window = 40, step = 20, n_jobs=-1):
#   n_images = run.abs_paths.shape[0]
# 
#   scaled_fractions = [
#     (int(np.ceil(float(f) / n_images)) if type(f) is long else f)
#     for f in fractions
#   ]
# 
#   return slice_map_run(
#     run, filter_patches,
#     function_args={
#       'predicates' : predicates,
#       'fractions' : scaled_fractions,
#     },
#     n_jobs=n_jobs,
#     window=window, step=step, flat=True
#   )


import unittest
import numpy as np
    import os
from crayimage.runutils import load_index
from crayimage.runutils import slice_filter_run




def noise(patches):
  return np.max(patches, axis=(2, 3))[:, 1] < 5

def hit(patches):
  return np.max(patches, axis=(2, 3))[:, 1] > 25

class TestRunUtils(unittest.TestCase):
  def test_load_and_filter(self):

    print(os.getcwd())


# Path: crayimage/runutils/io.py
# def load_index(index_file, root):
#   """
#   Loads runs defined bu the provided index file.
#   Index file is a definition of runs.
# 
#   :param index_file: path to the index file.
#     It can be:
#       1. a path on your local filesystem,
#       2. a path relative to the data root,
#       3. a name of predefined index file.
# 
#     The file is searched in the described above order.
#   :param root: path to the data root
#   :return: list of Run objects defined by the index file.
#   """
#   spec = get_index_file(index_file, root)
# 
#   runs = dict()
#   for run in spec:
#     if type(spec[run]['path']) is list:
#       paths = np.array([
#         osp.normpath(item)
#         for item in spec[run]['path']
#       ])
#     else:
#       paths = get_run_paths(root, spec[run]['path'])
# 
#     timestamps = extract_from_paths(paths, spec[run]['timestamp'], long)
# 
#     sorting_index = np.argsort(timestamps)
# 
#     info = dict()
#     for k in spec[run]['info']:
#       info[k] = extract_from_paths(paths, spec[run]['info'][k])[sorting_index]
# 
#     runs[run] = Run(
#       paths=paths[sorting_index],
#       timestamps=timestamps[sorting_index],
#       source=spec[run]['source'],
#       image_type=spec[run]['type'],
#       meta_info=info,
#       run_info=spec[run].get('run_info', None),
#       index_info=spec[run],
#       name=run,
#       data_root=root
#     )
# 
#   return runs
# 
# Path: crayimage/runutils/run_utils.py
# def slice_filter_run(run, predicates, fractions, window = 40, step = 20, n_jobs=-1):
#   n_images = run.abs_paths.shape[0]
# 
#   scaled_fractions = [
#     (int(np.ceil(float(f) / n_images)) if type(f) is long else f)
#     for f in fractions
#   ]
# 
#   return slice_map_run(
#     run, filter_patches,
#     function_args={
#       'predicates' : predicates,
#       'fractions' : scaled_fractions,
#     },
#     n_jobs=n_jobs,
#     window=window, step=step, flat=True
#   )


# Path: tests/runutils/runutils.py
import unittest
import numpy as np
    import os
from crayimage.runutils import load_index
from crayimage.runutils import slice_filter_run





def noise(patches):
  return np.max(patches, axis=(2, 3))[:, 1] < 5

def hit(patches):
  return np.max(patches, axis=(2, 3))[:, 1] > 25

class TestRunUtils(unittest.TestCase):
  def test_load_and_filter(self):

    print(os.getcwd())


    runs = load_index('clean.json', '../../../../data')