from six.moves import xrange (en masse)

research/brain_coder/common/config_lib.py

@@ -10,6 +10,7 @@ else that may be specific to a particular run.
 
 import ast
 import itertools
+from six.moves import xrange
 
 
 class Config(dict):

research/brain_coder/common/schedules_test.py

@@ -7,6 +7,7 @@ from __future__ import print_function
 from math import exp
 from math import sqrt
 import numpy as np
+from six.moves import xrange
 import tensorflow as tf
 
 from common import config_lib  # brain coder

research/brain_coder/common/utils.py

@@ -12,6 +12,7 @@ import random
 
 from absl import logging
 import numpy as np
+from six.moves import xrange
 import tensorflow as tf
 
 

research/brain_coder/single_task/code_tasks.py

@@ -11,6 +11,7 @@ import random
 
 from absl import logging
 import numpy as np
+from six.moves import xrange
 
 from common import bf  # brain coder
 from common import reward as r  # brain coder

research/brain_coder/single_task/ga_lib.py

@@ -14,6 +14,7 @@ import random
 from absl import flags
 from absl import logging
 import numpy as np
+from six.moves import xrange
 
 from common import bf  # brain coder
 from common import utils  # brain coder
@@ -469,4 +470,3 @@ class Individual(list):
 
 def random_individual(genome_size):
   return lambda: Individual(np.random.choice(GENES, genome_size).tolist())
-

research/brain_coder/single_task/ga_train.py

@@ -18,6 +18,7 @@ from time import sleep
 from absl import flags
 from absl import logging
 import numpy as np
+from six.moves import xrange
 import tensorflow as tf
 
 from common import utils  # brain coder
@@ -321,4 +322,3 @@ def run_random_search(max_num_programs, checkpoint_dir, task_eval_fn,
       solution_found=found_solution, generations=num_programs_seen,
       num_programs=num_programs_seen, max_generations=max_num_programs,
       max_num_programs=max_num_programs)
-

research/brain_coder/single_task/pg_agent.py

@@ -15,6 +15,7 @@ import time
 
 from absl import logging
 import numpy as np
+from six.moves import xrange
 import tensorflow as tf
 
 from common import rollout as rollout_lib  # brain coder
@@ -1294,4 +1295,3 @@ def process_episodes(
     batch_targets = np.array([], dtype=np.float32)
 
   return (batch_targets, batch_returns)
-

research/brain_coder/single_task/pg_agent_test.py

@@ -8,6 +8,7 @@ from collections import Counter
 
 from absl import logging
 import numpy as np
+from six.moves import xrange
 import tensorflow as tf
 
 from common import utils  # brain coder

research/brain_coder/single_task/results_lib.py

@@ -8,6 +8,7 @@ import ast
 from collections import namedtuple
 import os
 import re
+from six.moves import xrange
 import tensorflow as tf
 
 
@@ -152,4 +153,3 @@ class Results(object):
           r for shard_results in results_per_shard for r in shard_results]
 
     return aggregate, shard_stats
-

research/brain_coder/single_task/results_lib_test.py

@@ -8,6 +8,7 @@ import contextlib
 import os
 import shutil
 import tempfile
+from six.moves import xrange
 import tensorflow as tf
 
 from single_task import results_lib  # brain coder

research/brain_coder/single_task/test_tasks.py

@@ -4,6 +4,7 @@ from __future__ import print_function
 
 """Tasks that test correctness of algorithms."""
 
+from six.moves import xrange
 from common import reward as reward_lib  # brain coder
 from single_task import misc  # brain coder
 
@@ -124,5 +125,3 @@ class HillClimbingTask(object):
     # closest next element.
     # Maximum distance possible is num_actions * base / 2 = 3 * 8 / 2 = 12
     return (len(prefix) + (1 - min_dist / 12.0)), False
-
-

research/brain_coder/single_task/tune.py

@@ -39,6 +39,7 @@ from absl import app
 from absl import flags
 from absl import logging
 import numpy as np
+from six.moves import xrange
 import tensorflow as tf
 
 from single_task import defaults  # brain coder

research/compression/entropy_coder/dataset/gen_synthetic_dataset.py

@@ -18,6 +18,7 @@
 import os
 
 import numpy as np
+from six.moves import xrange
 import tensorflow as tf
 
 import synthetic_model

research/compression/entropy_coder/dataset/synthetic_model.py

@@ -16,6 +16,7 @@
 """Binary code sample generator."""
 
 import numpy as np
+from six.moves import xrange
 
 
 _CRC_LINE = [

research/compression/entropy_coder/lib/blocks_masked_conv2d.py

@@ -16,6 +16,7 @@
 """Define some typical masked 2D convolutions."""
 
 import numpy as np
+from six.moves import xrange
 import tensorflow as tf
 
 import block_util

research/compression/entropy_coder/lib/blocks_masked_conv2d_test.py

@@ -19,6 +19,7 @@ from __future__ import division
 from __future__ import unicode_literals
 
 import numpy as np
+from six.moves import xrange
 import tensorflow as tf
 
 import blocks_masked_conv2d

research/compression/entropy_coder/lib/blocks_std_test.py

@@ -22,6 +22,7 @@ import math
 import os
 
 import numpy as np
+from six.moves import xrange
 import tensorflow as tf
 
 import blocks_std

research/delf/delf/python/feature_io.py

@@ -25,6 +25,7 @@ from __future__ import print_function
 from delf import feature_pb2
 from delf import datum_io
 import numpy as np
+from six.moves import xrange
 import tensorflow as tf
 
 

research/differential_privacy/dp_sgd/dp_mnist/dp_mnist.py

@@ -22,6 +22,7 @@ import sys
 import time
 
 import numpy as np
+from six.moves import xrange
 import tensorflow as tf
 
 from differential_privacy.dp_sgd.dp_optimizer import dp_optimizer

research/differential_privacy/dp_sgd/per_example_gradients/per_example_gradients.py

@@ -17,6 +17,7 @@
 
 import collections
 
+from six.moves import xrange
 import tensorflow as tf
 
 OrderedDict = collections.OrderedDict